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Abstract

The fetal or early origins of adult disease hypothesis states that environmental factors, particularly nutrition, act in early life to program the risks for chronic diseases in adult life. As eating habits can be linked to the development of several diseases including obesity, diabetes and cardiovascular disease, it could be proposed that persistent food preferences across the life-span in people who were exposed to an adverse fetal environment may partially explain their increased risk to develop metabolic disease later in life. In this paper, we grouped the clinical and experimental evidence demonstrating that the fetal environment may impact the individual’s food preferences. In addition, we review the feeding preferences development and regulation (homeostatic and hedonic pathways, the role of taste/olfaction and the reward/pleasure), as well as propose mechanisms linking early life conditions to food preferences later in life. We review the evidence suggesting that in utero conditions are associated with the development of specific food preferences, which may be involved in the risk for later disease. This may have implications in terms of public health and primary prevention during early ages.
Journal of Developmental Origins of Health and Disease (2012), 3(3), 140–152.
&Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2012
doi:10.1017/S2040174412000062
REVIEW
Effects of in utero conditions on adult feeding
preferences
A. K. Portella
1
, E. Kajantie
2,3
, P. Hovi
2,3
, M. Desai
4
, M. G. Ross
4
, M. Z. Goldani
1
,
T. J. Roseboom
5
and P. P. Silveira
1
*
1
Nu
´cleo de Estudos da Sau
´de da Crianc¸a e do Adolescente (NESCA), Hospital de Clı
´
nicas de Porto Alegre, Faculdade de Medicina,
Universidade Federal do Rio Grande do Sul, Brazil
2
Children’s Hospital, Helsinki University Central Hospital and University of Helsinki, Helsinki, Finland
3
Department of Chronic Disease Prevention, Diabetes Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
4
Department of Obstetrics and Gynecology, Harbor-UCLA Medical Center, Los Angeles Biomedical Research Institute at Harbor-UCLA,
David Geffen School of Medicine at UCLA, Torrance, California, USA
5
Department of Clinical Epidemiology and Biostatistics and Department of Obstetrics and Gynaecology, Academic Medical Center,
University of Amsterdam, Amsterdam, The Netherlands
The fetal or early origins of adult disease hypothesis states that environmental factors, particularly nutrition, act in early life to program the risks
for chronic diseases in adult life. As eating habits can be linked to the development of several diseases including obesity, diabetes and
cardiovascular disease, it could be proposed that persistent food preferences across the life-span in people who were exposed to an adverse fetal
environment may partially explain their increased risk to develop metabolic disease later in life. In this paper, we grouped the clinical and
experimental evidence demonstrating that the fetal environment may impact the individual’s food preferences. In addition, we review the
feeding preferences development and regulation (homeostatic and hedonic pathways, the role of taste/olfaction and the reward/pleasure), as
well as propose mechanisms linking early life conditions to food preferences later in life. We review the evidence suggesting that in utero
conditions are associated with the development of specific food preferences, which may be involved in the risk for later disease. This may have
implications in terms of public health and primary prevention during early ages.
Received 15 August 2011; Revised 2 January 2012; Accepted 1 February 2012; First published online 6 March 2012
Key words: DOHaD, feeding preferences, fetal programming, thrifty behavior
Introduction
Developmental origins of adult disease – fetal
programming
The early life environment is now well recognized to con-
tribute importantly to health and disease predisposition later
in life. The fetal or early origins of adult disease hypothesis
stated that environmental factors, particularly nutrition, act in
early life to program the risks for chronic diseases in adult life.
In addition to the risks of adult obesity, hypertension,
1
and
type II diabetes,
2,3
infants small at birth are at increased risk
of atherogenic lipid profiles,
4,5
reduction of bone mass and
possibly bone mineral content,
6–9
differential stress respon-
ses,
10,11
less elastic arteries,
12
specific patterns of hormonal
secretion
13,14
and higher incidence of depression
11,15,16
in
adult life. Extensive studies in animal models have confirmed
that disease risk and behavior later in life can be influenced or
‘programmed’ dependent upon the fetal and early postnatal
environment.
Could food preferences also be programmed?
As eating habits can be linked to the development of several of
the diseases mentioned above,
17–20
it could be proposed that
persistent small nutrient imbalances across the life-span in
people who were small at birth may explain, in part, their
increased risk to develop metabolic disease later in life. In other
words, fetal adversity may drive the individual to prefer specific
foods during the life course, increasing their ingestion and
ultimately leading to disease. As such, a better understanding of
the mechanisms contributing to these imbalances is essential to
address the pathogenesis of the metabolic syndrome epidemic.
Although ‘hunger/appetite’ is a major determinant of caloric
intake, ingestive responses are significantly mediated by hedo-
nistic mechanisms (i.e. reward), food preferences and social
behavior. In this review, we synthesize clinical and experimental
evidence from independent research groups demonstrating
that the fetal environment may also affect the offspring’s food
preferences in adulthood and that programming of these
preferences may contribute to the development of metabolic
disturbances later in life. Other early life events also impact
food preferences in the offspring, such as early nutrition/
overfeeding,
21,22
maternal diet,
22
neonatal handling,
23
etc., but
the focus of this review lies on the fetal life events ability to
*Address for correspondence: P. P. Silveira, Departamento de Pediatria,
Faculdade de Medicina, Universidade Federal do Rio Grande do Sul. Ramiro
Barcelos, 2350, Largo Eduardo Zaccaro Faraco, 90035-903 Porto Alegre, Brazil.
(Email 00032386@ufrgs.br)
program the offspring food preferences. Prior reviews have
addressed the programming of appetite regulation.
24–28
Physiological, cellular and molecular basis of hedonic
feeding behavior
Essential to survival and homeostasis maintenance, feeding
behavior is finely regulated through an intricate and complex
mechanism. Basically, ingestive behavior may be divided into
several phases
29–32
:intheinitiation phase, the value of an
available food objective or the internal state attracts the
individual’s attention to feeding. Once the selective attention
is reached and the motivation to food ingestion is present, it
begins the procurement phase, which requires planning,
learning and memory, depending exclusively on cortical
cognitive processes. The consummatory phase begins when the
food is finally available and involves stereotypical behavioral
sequences, but also is characterized by the formation of
associations between the different sensorial characteristics of
the food. Thereafter, satiety mechanisms lead to the meal
termination, including the postabsorptive sensations and
storing of this information in the form of associative memory
for posterior comparison. Brain afferent systems regarding
food intake include external stimuli (visual, olfactory, audi-
tory and tactile information) and internal stimuli, which is
divided into pregastric (essentially taste), gastric (distention),
postgastric (or preabsorptive stimuli) and postabsorptive
stimuli (gastric hormonal release; nutrient, metabolites and
hormonal action at liver or brain receptors).
32
The individual
response to any of these stimuli could potentially be subjected
to developmental programming, as well as the learning
and reinforcement/extinction of the consequences of the
consummatory behavior.
Taste/olfaction
Research suggests that food preferences and behavior develop
early in infancy
33,34
and track further on until adult-
hood.
33,35,36
Taste bud development is observed at around
11 weeks gestation in humans.
37
Using radiographic techni-
ques on pregnant women, it was possible to demonstrate fetal
swallowing as early as 12 weeks gestation.
38
Early studies
describe that fetus can be induced to swallow amniotic fluid if
saccharine is introduced into the amniotic cavity
39
suggesting
that fetal taste buds are functional. Of note, maternal
hyperglycemia influences amniotic fluid glucose levels,
40
with
increased amniotic fluid glucose concentrations observed in
pregnant diabetics. Interestingly, researchers showed that
prenatal flavor experiences enhance the acceptance and
enjoyment of similarly flavored foods during weaning in
human babies.
41
Infants who had exposure to the flavor of
carrots in either amniotic fluid or breast milk exhibited fewer
negative facial expressions in response to that flavor than did
non-exposed control infants. Hence, it seems that the sensory
environment in which the fetus lives, the amniotic sac,
changes as a function of the food choices of the mother as
dietary flavors are transmitted and flavor the amniotic fluid.
42
Therefore, the pregnant female’s diet may be involved in the
programming of the offspring’s feeding behavior.
The development of food preferences continues when the
infant is exposed to maternal milk, itself containing a variety
of flavors dependent upon the foods ingested by the
mother.
43–45
From an early age it is possible to detect an early
attraction to sweet and salty tastes, which might later drive the
appetite for sweet and salty foods.
46
These varied flavor
exposures during the nursing period provide the infant with
opportunities to learn new flavors, which impacts on the
response to similarly flavored solid foods.
41
Whether mater-
nal food ingestion during pregnancy also influences offspring
food preferences is controversial. With weaning, several
factors promote the acceptance of solid foods, including
introduction of a variety of solid foods,
47,49
repeated exposure
to the specific food and previous breastfeeding experience;
48
in particular, when the foods consumed when the child was
being breastfed had the same flavor.
41
Infants exposed to a
variety of solid foods accept new foods more readily than do
infants exposed to a monotonous solid diet.
49
Besides repe-
ated exposure,
50
taste development is promoted by other
mechanisms such as flavor and nutrient learning. Parental
attitudes also play an important role in the development of
their child’s food preferences.
51
Later on and into adulthood,
food preferences are influenced by several other factors such
as personal experiences, cultural adaptations and perceived
health benefits.
51
The sensory and hedonic evaluation of the majority of the
food-related flavors is influenced by the olfactory perception.
Odor perception is initiated in the chemosensory olfactory
neurons in the nasal epithelium, where the chemical signal
is converted into electrical impulses. This information
is transmitted to the olfactory bulb, and decoded in the
olfactory cortex, leading to the perception of distinct
flavors.
52
Interestingly, even imagined odors can to some
extent induce changes in perceived taste intensity comparable
to those elicited by perceived odors.
53
Because there is no evidence for innate odor preferences,
most of our food preferences are probably acquired by
learning.
54,55
Food odors rated as pleasant have the ability to
stimulate appetite, as evidenced by increased ratings of hunger
following exposure to food-related odors,
56
as well as sti-
mulate other responses such as insulin release
57,58
and gastric
acid secretion.
59
At least partial olfactory, as well as taste,
sensory-specific satiety does not require food to enter the
gastrointestinal system, and does not depend on the ingestion
of calories.
60
Although children usually eat more of the foods
they like best in terms of taste,
61,62
the impact that taste
factors have on the food intakes of adults is much less clear,
for their taste preferences and aversions are not always direct
predictors of food consumption.
63–65
Therefore, the general
assumption that taste preferences predict food preferences
does not always hold true.
66
Effects of in utero conditions on adult feeding preferences 141
Reward/pleasure
The hypothalamus is the key brain structure involved in the
homeostatic food intake regulation. However, even in the
absence of hunger, the pleasure and reward sensations
associated to the food can also stimulate feeding behavior
(hedonic food intake). Thus, the perceived pleasantness of
foods can modulate food intake indirectly by influencing the
preference for certain foods. Among healthy individuals,
eating beyond homeostatic needs when facing caloric-rich
palatable foods evidences the fact that a significant proportion
of consumption is driven by pleasure, rather than energy
supply. The brain extracts information about quality, inten-
sity and hedonic value from gustatory neuronal responses;
thus all of these psychological attributes must be coded by the
neural activity in the taste pathways. Therefore, appetite for
specific foods and nutrients is under complex neuroregulatory
control. For instance, in animal studies, fat intake is increased
by opioids,
67–69
whereas carbohydrate intake is increased by
neuropeptide Y (NPY).
70
The forebrain plays a prominent role in the hedonic value
that the brain attaches to gustatory activity originating from the
oral cavity. The nucleus accumbens has been related to directive
behaviors and appetitive instrumental learning
71,72
and may
provide an interface between motivation and behavioral action.
Neuroimaging studies strongly support a role for central
dopamine in food reward processes. Studies in humans reveal
that food-related cues activate areas of the brain associated with
the processing of information related to the pleasurable features
of stimuli (i.e. the brain reward system), such as the ventral
tegmental area (VTA) and substantia nigra, amygdala and
orbitoprefrontal cortex
73,74
; these areas are either involved
in the synthesis and release of dopamine or are targets for
dopamine projections. Recent evidence suggest that dopam-
inergic neuronal activity in the VTA that projects to the nucleus
accumbens can be modulated by peripheral energy status signals
including leptin, insulin and ghrelin,
75–77
revealing the poten-
tial importance of the integration between the peripheral sig-
naling and the central mesolimbic system in food preference
regulation. Therefore, besides their well-known role in altered
regulation of appetite control in the field of developmental
programming when acting at the hypothalamic level,
24,28,78,79
these hormones also appear to modulate the pleasure associated
with the ingestion of palatable food and could be involved in
the programming of feeding preferences.
As a corollary to reward-mediated ingestion, studies in
humans demonstrate that emotional experience can lead to an
increase in food intake, especially sweets and calorie dense
foods.
80
Periods of workload are associated with a higher
consumption of calories and fat, especially in people who
practice dietary restraint.
81–83
Individual variation in the
hypothalamus–pituitary–adrenal (HPA) stress response
intensity correlates with the degree of stress influence on food
choices.
84
It has been proposed that glucocorticoids and
insulin stimulate the consumption of highly dense caloric
foods (‘comfort foods’), which in turn would protect the
HPA axis from potential dysfunction.
85
Intrauterine growth
restricted (IUGR) individuals are also reported to have an
increased adrenal response to acute stress,
11
a feature that
combined with their known insulin resistance could set the
stage for altered feeding behaviors, especially increased con-
sumption of palatable, ‘comfort’ foods.
Finally, the prefrontal cortex may be involved in the
conscious perception of some types of flavors
86
particularly in
the integration of the valuation and comparison processes
(coding of rewards relative to other available rewards, general
and specific satiety, temporal discounting and negative
valuations such as negative health consequences) that impact
food selection.
87
Obese children react to food stimuli with
increased prefrontal activation;
88
one could propose that
reduced inhibitory control may also be suggested as playing
a role in excessive feeding behavior. Infants who were
growth restricted have poorer executive functioning,
89,90
and
increased vulnerability to addictive disorders
91
and attention
deficit hyperactivity disorder,
92
therefore, alterations on brain
frontal regions could also play a role in their food choices.
Proposed mechanisms linking early life conditions to
food preferences later in life
A possible mechanism by which the early environment could
impact the individual’s food choices permanently is the
programming of the sensitivity to the reward (i.e. pleasure)
associated with the ingestion of a palatable food. In adult
rodents, prenatal protein malnutrition alters the response to
reward.
93
In addition, both leptin and insulin are associated
with a decrease in the response of the nucleus accumbens to
food cues.
94,95
Interestingly, several studies have shown that
cord leptin levels are diminished in small for gestational age
(SGA) infants,
96,97
increase during the catch-up growth
98
and
decrease again in adulthood in the context of an excess of
adipose tissue when corrected for body fat mass, gender and
fasting insulin,
99
suggesting an altered adipocyte function and
leptin resistance in these individuals. Low birth weight also is
related to impaired insulin secretion,
100,101
decreased glucose
tolerance in later life
13,102
and diabetes.
1,103
Besides the
potential implication of abnormal adipose/pancreatic tissue
development in the long-term metabolic consequences asso-
ciated with in utero undernutrition. Potentially, leptin/insulin
modulation of central dopamine is altered in SGA individuals,
leading to an altered reward response to food, consequent
increased palatable food ingestion and the development of
obesity. These alterations could make these individuals prone
to ‘food addiction’, a recent concept proposed by some
researchers. Although addictive behavior is generally associated
with drugs, alcohol or sexual behavior, it is becoming apparent
that certain food substances may cause similar physiological
and psychological reactions in vulnerable people.
104–106
Avena
et al.
107
classified sugar as an addictive substance because it
follows the typical addiction pathway that consists of bingeing,
108
142 A. K. Portella et al.
withdrawal,
109
craving
110
and cross-sensitization.
111
The
seeking behavior is motivated and reinforced not only by a
food’s positive effects but also the negative state or ‘antire-
ward’ that accompanies abstinence from its use,
112
ultimately
leading to obesity and related metabolic consequences.
In addition, peripheral hormones, within subsets of taste
cells and structures of the olfactory system, have also been
proposed as modulators of olfaction/taste perception.
Vasoactive intestinal peptide, cholecystokinin, leptin receptor
and NPY, are found within type II taste cells, whereas
glucagon-like peptide-1 is found in both type II and type III
taste cells. The interplay between these systems modulates not
only gustatory and olfactory function but also whole-body
physiological functions, such as metabolic control and energy
homeostasis.
113
Flavor–taste learning also involves brain
dopamine signaling.
114
Therefore, fetal adversities could
program the functioning of such systems modulating food
preferences (Fig. 1).
Evidences for the fetal programming of feeding behavior
Experimental (animal) studies
Animal studies have confirmed the potential for develop-
mental programming of obesity. Low birth weight sheep have
a higher relative fat mass as neonates compared with higher
birth weight offspring.
115
There is also evidence that a
maternal protein-restricted (50%) diet during pregnancy
programs offspring susceptibility to adult obesity in rats and
mice, with the difference apparent already by 7 days of
age.
116,117
Moderate (50%) and severe (70%) maternal
prenatal caloric restriction is also associated with greater fat
deposition in offspring when presented with a hypercaloric
or high-fat diet.
118,119
Importantly, animal studies have
consistently demonstrated increased caloric intake among low
birth weight offspring, a result in part of reduced anorexigenic
responses, neural pathways and neuronal signaling.
119–121
Several animal models aid in understanding the effects of
early life events upon behavioral and metabolic outcomes in
adulthood. A study using a low protein (LP) diet during
gestation describes specific food preferences for high-fat food
in both male and female adult offspring when compared with
the control animals. If offered at discrete periods during
gestation (early, mid and late gestation), the LP-diet programs
the offspring feeding behavior in a gender-specific and timing-
dependent manner, in which the females exposed to LP diet in
early gestation prefer to eat more carbohydrates over the other
macronutrients in adult life, as compared with controls.
122
Interestingly, the addition of high levels of folate to the LP diet
during gestation prevents the LP effects on offspring food
preferences, possibly a result of epigenetic effects.
123
However,
folate added to a normal protein diet also alters offspring’s
feeding behavior similarly to the LP diet exposure alone.
Therefore, it seems that the role for potential folate-influenced
DNA methylation in programming of food preference is likely
to be gene-specific rather than genome-wide.
Manipulation of the dietary fat content during pregnancy
also leads to altered offspring food preferences. Pups nursed by
dams fed low fat diet during pregnancy and lactation show an
increased preference for fat as compared with controls.
124
However, if the obesogenic diet is offered to the dams before
mating, it results in hyperphagia, decreased locomotor activity,
increased adiposity, endothelial dysfunction and hypertension
in the adult offspring.
125
Hyperphagia is also a consequence of
FOOD CHOICES
Peripheral sensation
(taste, olfaction, texture)
Judgement/value
(Prefrontal cortex)
Homeostatic regulation
(Hypothalamus)
Pleasure/Reward
(Mesolimbic system)
Socioeconimic status
Peripheral signalling (leptin, insulin, ghrelin, glucocorticoids, etc.)
Culture Exposure
Fig. 1. Brief schematic outlining the regulation of food preferences. Red – predominantly centrally mediated influences. Green –
predominantly peripherally mediated (adipose tissue, pancreas, gastrointestinal tract and hypothalamus–pituitary–adrenal axis) influences.
Blue – environmental influences. Fetal life adversities can affect any of the pathways, except for environmental factors (although they
could be a cause of fetal adversity).
Effects of in utero conditions on adult feeding preferences 143
prenatal nutritional disturbance. Subjecting pregnant rats to
severe food restriction (feeding 30% to 50% of ad libitum
intake) promotes profound intrauterine growth retardation in
their offspring
118,119
with decreased newborn plasma leptin
and increased ghrelin.
118
These growth-retarded pups become
hyperphagic, and when provided with a hypercaloric diet
from weaning, develop pronounced central adiposity.
119
Cross
fostering the IUGR offspring to dams receiving ad libitum
chow induces a rapid catch-up growth and results in increased
weight, percent body fat and plasma leptin levels.
118
In fetuses at term, the exposure of the pregnant rodent to
chronic stress reduces body, adrenal and pancreas weight as
well as plasma corticosterone and glucose levels.
126
Long-term
effects of this intervention include the induction of a rebound
and basal hyperphagia when the offspring is on chow diet,
with an exacerbated effect when put on a high-fat diet.
126,127
Moreover, these animals display hyperglycemia, glucose
intolerance and decreased basal leptin levels.
126
It has not
been determined whether the hyperphagia is mediated via
appetite or reward mechanisms.
These combined observations suggest that early life events
can lead to alterations in the feeding patterns of the adult
offspring. It is intriguing to note that, although the metabolic
disarrangements following these diverse interventions may be
very distinct depending on the type of model used, feeding
behavior (higher caloric consumption or specific food pre-
ferences) seems to be consistently found in the different
protocols.
Epidemiologic and clinical observations
The epidemiologic observations that inadequate availability
of nutrients to the fetus during gestation is associated with
altered feeding preferences in adult life come from popula-
tions throughout the world in mainly three different settings:
severe maternal undernutrition during a famine, intrauterine
growth retardation and severely preterm birth.
Severe maternal undernutrition (Famine studies)
The Dutch Famine Birth Cohort has provided evidence that
prenatal nutrition may affect dietary preferences later in
life.
128
During the final months of the World War II, there
was a period of extreme food shortage in the west of the
Netherlands, known as the ‘Dutch Famine’. The Dutch
famine birth cohort includes men and women who were born
around the time of the Dutch famine as term singletons
in one of the main hospitals of Amsterdam. In this study,
periods of 16 weeks were used to differentiate between per-
sons who were exposed in late gestation, mid-gestation and
early gestation. Persons born before and persons conceived
after the period of famine were used as the control group.
Food frequency of intake and physical activity and detailed
clinical examinations of cardiovascular and metabolic disease
were made at the ages of 50 and 58. Although the mean
percentage of protein, carbohydrate and fat in the diet did not
differ among the exposure groups, participants exposed to
famine in early gestation were more likely to consume a high-
fat diet (defined as the highest quartile of fat in the diet or
.39% of energy from fat). The relative risk of participants
with early exposure to famine consuming a high-fat diet
remained significantly higher even after adjustment for con-
founding factors. This finding may explain in part the finding
that the group of participants exposed to famine in early
gestation had more pronounced hypercholesterolemia and
hypertriglyceridemia than the other groups (after exclusion of
participants using lipid-lowering medication). Importantly,
offspring exposed to famine in early gestation had a two-fold
prevalence of coronary heart disease.
In another study,
129
involving a different sample of indi-
viduals exposed to the Dutch Famine during or immediately
preceding the pregnancy period was compared with a sample
of births from the previous or following year (1943 and 1947)
as hospital time controls and to same-sex siblings. Food
frequency and physical activity data was acquired using
questionnaires at a mean age of 58 years. Individuals exposed
to famine in the first half of gestation (i.e. week 20) had
higher reported absolute intakes of energy, fat and protein
and lower reported absolute intakes of carbohydrate than did
the controls. Using time controls as a comparison, gestational
famine exposure was associated with higher energy intake due
to higher fat density in the diet. In addition, lower levels of
physical activity were found in the exposed group. In sex-
stratified analyses, protein intakes were higher for exposed
men and lower for exposed women compared with unexposed
men and women, respectively. In a further comparison to
sibling controls, gestational famine exposure was still asso-
ciated with higher energy intake, higher fat density and
lower physical activity score. However, using a sex-stratified
analysis, energy intake was lower in exposed men and higher
in exposed women compared with their unexposed siblings.
Carbohydrate density was lower in individuals exposed to
famine at any point in gestation compared with their siblings,
and exposed and unexposed siblings did not differ in protein
intake. There was no evidence for heterogeneity by sex for any
macronutrient. Hence, independently of the control chosen
for interpretation of the study, these results confirm that there
is a specific food preference pattern associated with exposure
to undernutrition during gestation, with increased caloric
content mainly due to fat preference, as well as a diminished
propensity to physical exercise.
Intrauterine growth restriction
In a cross-sectional evaluation of a prospective, longitudinal
cohort of subjects born in the municipality of Ribeira
˜o Preto
(state of Sa
˜o Paulo, southeast of Brazil), it was investigated if
IUGR was associated with offspring macronutrient ingestion
and food preferences.
130
Food intake was measured by a food
frequency questionnaire and the data was shown in a carbo-
hydrate to protein ratio (preference). IUGR was determined
based on the birth weight ratio (BWR; the ratio between the
144 A. K. Portella et al.
newborn’s weight and the population’s sex-specific mean
birth weight for each gestational age). Individuals were clas-
sified as non-restricted (BWR >0.85), moderately restricted
(BWR ,0.85 and >0.75) and severely growth restricted
(BWR ,0.75). At the age of 24 years, offspring women born
severely growth restricted ate more carbohydrates than the
women born non-growth restricted, and this finding persisted
after adjustment for several confounders (maternal income,
smoking and schooling at the time of delivery, and partici-
pants’ smoking, schooling, current body mass index (BMI)
and physical activity). This effect was accompanied by a
decreased ingestion of protein. Rather than an absolute BWR
cut-off, regression analysis showed a continuous association
between growth restriction and adult carbohydrate to protein
ratio consumption, meaning that the more growth restricted
at birth (lower BWR), the more these women prefer to
eat carbohydrates over protein in adult life. The increased
carbohydrate to protein consumption was distributed across
different types of foods, and not associated with over or under
consumption of any one food. In addition to the carbohy-
drate preference, women born IUGR exhibited increased
waist to hip ratio (WHR), though the prevalence of
risk factors for metabolic syndrome (plasma fasting insulin,
glucose, high-density lipoprotein (HDL), triacylglycerol) did
not differ between the groups. Using the NCEP-ATP III
diagnostic criteria,
131
there were no differences in the pre-
valence of metabolic syndrome between the groups. As studies
were performed at 24 years of age, the increased WHR may
suggest a predisposition to subsequent metabolic syndrome,
which may be evident with follow-up. It is interesting to note
that protein ingestion seems to be more tightly controlled
than other macronutrients,
132
being set to around 15% of the
total calories. In this cohort, despite the fact that individuals
from the different groups eat protein at that percentage,
IUGR girls prefer comparatively less protein, and more
carbohydrates. This probably means that the set point of the
carbohydrate to protein ratio was changed to a different level
in this group. As carbohydrates are more effective in releasing
insulin (known for its anabolic actions), this may explain their
increased central adiposity, and could be interpreted as an
early sign of the thrifty phenotype.
Severely preterm birth
Another interesting model of an early adverse environment is
birth at very low birth weight (VLBW; ,1500 g) or very low
gestational age (VLGA; ,32 weeks), which comprise ,1%
to 1.5% of live births in countries with available statis-
tics.
133–134
Following birth, these infants experience a period
characterized by immaturity-related neonatal illness fre-
quently requiring neonatal intensive care, accompanied by
inadequate nutrition and slow growth, sometimes referred
to as ‘extrauterine growth restriction (EUGR)’. Moreover,
during infancy, VLGA infants frequently suffer from eating
difficulties including selective eating, which may be related
to neurodevelopmental impairments. A recent study in
6-year-olds born extremely preterm suggested that feeding
problems are present in those born most immature although
not solely explained by neurodevelopmental delay.
135
As
young adults, VLBW/VLGA offspring exhibit increased
cardiovascular risk factors such as higher blood pre-
ssure,
136,137
impaired glucose regulation
138
and lower rates of
leisure-time physical activity
139,140
as compared with their
counterparts born at term with normal birth weight. A
paradox is that adults born as small preterms are not more
obese but, if anything, tend to have on average a lower BMI
than those born at term.
138,141
Much of this difference is
attributable to lower lean body mass.
138
Although VLBW
adults have a higher basal metabolic rate per unit lean body
mass, their lower lean body mass results in a lower total basal
metabolic rate
142
and, accordingly, lower energy intake.
143
Although a preliminary report from the same cohort showed
no difference in energy-adjusted macronutrient intakes,
intakes of calcium and vitamin D were lower in VLBW
adults. This argues for the possibility of altered food pre-
ferences, although we are unaware of any published reports
on the analyses of intake and preference of specific foods in
this context. In general, although VLGA infants constitute a
promising model of early programming of food preferences, it
remains relatively understudied.
When comparing these studies, it is important to take into
account several facts. Firstly, Barbieri et al. evaluated the cohort
at 24 years of age, while the Dutch Famine studies evaluated
middle-aged individuals. It is known that food preferences vary
according to ageing,
46,144,145
and the apparent diversity in the
findings may simply reflect that these specific feeding
preferences in low birth weight subjects transit from high
carbohydrates to high fat as the individuals age. Moreover,
although all of these studies may reflect the effects of stress
exposure during fetal life, the Dutch Famine cohort was
exposed to both the nutritional and environmental (war
conditions) stress, while the Brazilian cohort was primarily
nutritional deprivation and stress exposure. As different types of
stress induce specific physiological responses,
146
one could
argue that different adverse events occurring in utero lead to
particular effects on feeding behavior later in life, depending on
the type of the insult (Fig. 2).
Specific food preferences may be involved in the
development of later disease
To date, several studies have shown that feeding preferences
during adulthood are related to physical health, impact the
risk for future disease and play a role in the prevention of
overweight. For example, rates of incident verified non-fatal
myocardial infarction, coronary death and diabetes are lower
among people following a general healthy eating pattern in
midlife (high consumption of fruit and vegetables, poly-
unsaturated oils and high-fiber bread and breakfast cereals and
a low consumption of red meats, saturated fats and refined
carbohydrate foods).
147
Large cohort studies point to the fact
Effects of in utero conditions on adult feeding preferences 145
that a western dietary pattern is associated with a substantially
increased risk for type 2 diabetes,
147–150
incident heart
failure,
151
coronary heart disease,
150,152
stroke,
153
chronic
obstructive pulmonary disease,
153
colon cancer,
154,155
altered
markers of inflammation and endothelial dysfunction
156
and
altered plasma biomarkers of cardiovascular disease risk and
obesity.
157
Although the issue is still debated,
158,159
asys-
tematic review of 37 published cohort studies showed that low
glycemic index and/or low glycemic load diets are associated
with a reduced risk of chronic diseases such as type 2 diabetes,
coronary heart disease, gallbladder disease and breast cancer,
suggesting that higher postprandial glycemia is a mechanism
for disease progression.
159
Whole-grain as well as fruits and vegetables intake have been
associated with lower risk of cardiovascular disease,
160–163
ischemic stroke
164
and hypertension,
165
improvements in
glycemic control,
166,167
and lower levels of inflammatory
biomarkers.
168
Dietary fiber may also affect fibrinolysis and
coagulation,
169,170
which may be important in the setting
of established atherosclerotic plaques. With regard to poly-
unsaturated fatty acid (PUFA) consumption, n-3 PUFAs from
both seafood and plant sources may reduce cardiovascular
risk,
171
whereas eating even limited quantities of fish may
reduce the risk of ischemic stroke in men.
172
Not simply the food choices, but feeding behavior per se is
also associated with human health. For instance, men eating
takeaway foods twice a week or more are significantly less likely
to meet the dietary recommendation for vegetables, fruits, dairy,
breads and cereals, and have a higher prevalence of moderate
abdominal obesity.
173
On the other hand, young adults who
report frequent food preparation have less frequent fast-food use
and are more likely to meet dietary objectives for different
macro and micronutrients.
174
Feeding frequency may also affect
health outcomes, as a high daily eating frequency is associated
with a healthy lifestyle and dietary pattern in both men and
women.
175
Finally, there is a well-known association between
television viewing and abdominal obesity in young adults,
whichispartiallyexplainedbyfoodandbeverageconsumption
while watching television.
175
While this review focuses on early programming of nutri-
ent intake and preferences, it is important to keep in mind
that the biological effects of specific nutrients also may be
programmed early in life. Not all people are equally sensitive
to health effects of specific nutrients. For example, lipid
responses to dietary interventions
176
and blood pressure
responses to alterations in salt intake
177
vary widely between
people, with genetic mechanisms explaining only a small
proportion of the differences.
178–180
Few human studies have
explored this area, although a study from Hertfordshire,
England, showed that among 59- to 71-year-old men, high
intakes of total and saturated fat were associated with reduced
HDL-cholesterol and HDL/LDL (low-density lipoprotein)
ratio only in men with low birth weight.
181
A Dutch study of
healthy adults showed a strong inverse correlation between
birth weight and salt sensitivity of blood pressure.
182
All of the above behaviors and preferences could potentially
be affected by early life events. Future studies may clarify the
particular behavioral facets of individuals exposed to specific
insults in order to identify their possible health risks.
Medical and public health implications
The worldwide rise in chronic diseases in children and ado-
lescents is challenging for the health assistance, financial
resources administration and biomedical research. These
disorders may be a consequence of a long process of epide-
miological and demographic transition, occurring during the
last century. The decrease in infant mortality and longer
life-span has created a new pattern of health and disease, in
which chronic and degenerative disorders have overcome
acute conditions and infectious diseases. In this scenario,
the identification of vulnerability and proposals for chronic
Newborns at 27
weeks of
gestational age
Newborns at 27
weeks of
gestational age
IUGR programs
the hedonic
response to
sweet food
3 years of
age
3 years of
age
IUGR girls are
impulsive
towards sweet
food
24 years of
age
24 years of
age
IUGR women
have a higher
preference for
carbohydrates
Adult life
Adult life
IUGR =
overweight,
metabolic
syndrome
Barker et al and
many others
Barbieri, Portella,
Silveira et al.,
2009130
Silveira et al.,
2012190
Ayres et al.,
2010192
50 years of
age
Individuals exposed
to undernutrition
during fetal life prefer
to eat more fat
Lussana et al.,
2008128
Fig. 2. Conceptual framework depicting the fetal programming of food preferences proposal. Human evidence of feeding preferences in
individuals exposed to fetal adversities suggests that the choices for specific types of foods at different times during the life course may play
an important role in the increased risk for disease largely described in these subjects. IUGR, intrauterine growth restricted.
146 A. K. Portella et al.
diseases prevention is of extreme significance and importance.
Knowledge about behavioral traits that could be linked to
specific health risks may alert health professionals to promote
early intervention and assistance.
Education, support and long-term follow-up may be
required to assist children exposed to fetal insults to make
lifestyle changes essential to a healthy lifestyle, such as wise
dietary choices. For instance, interventions that promote
reduced amount of added sugar and increased intake of
dietary fiber improve insulin action and reduce visceral adi-
pose tissue in youth.
183–187
The efficacy of these interventions
remains to be established for this population.
Importantly, prenatal care and preconception counseling is
critical for developing preventive strategies in terms of public
health. For instance, findings suggest that pre-pregnancy dietary
patterns may affect womens’ risk of developing gestational
diabetes mellitus.
188
A healthy diet before and during the
pregnancy promotes a better fetal environment, preventing
diseases in future generations. Women of reproductive ages,
especially those who are planning a pregnancy, should be
counseled to consume a well-balanced diet, and may be more
easily prone to engage in healthy life choices. We propose that a
prudent diet style before and during pregnancy affects the
newborn’s food preferences in a positive way, as well as its
future food choices in adulthood and is a promising new way of
preventing chronic degenerative disease in future generations.
This may be a transgenerational model of health programming.
Conclusions
In conclusion, evidence from experimental and clinical studies
demonstrate that early life events are linked to specific feeding
preferences in adulthood. Although these studies have some-
what divergent final findings, they consistently demonstrate that
a metabolic or environmental stress during gestation that
impacts fetal growth results in altered offspring adult feeding
behavior, with a preference for highly palatable, energy dense
foods (either rich in carbohydrates or fat or both). The chronic,
persistent alteration in feeding preferences in these individuals
likely starts in early life
189,190,192
and contributes to the devel-
opment of obesity and altered lipid profile reported in this
group.
128,130
This seems to be another facet of the ‘thrifty
phenotype’,
191
what could be called ‘thrifty behavior’. Future
studies are warranted to understand the mechanisms by which
specific insults lead to specific behavioral preferences, as well as
to establish the validity of preventive measures in humans.
References
1. Barker DJ, Eriksson JG, Forsen T, et al. Fetal origins of
adult disease: strength of effects and biological basis. Int
J Epidemiol. 2002; 31, 1235–1239.
2. Eriksson JG, Forsen T, Tuomilehto J, et al. Effects of size
at birth and childhood growth on the insulin resistance syn-
drome in elderly individuals. Diabetologia. 2002; 45, 342–348.
3. Whincup PH, Kaye SJ, Owen CG, et al. Birth weight and risk
of type 2 diabetes: a systematic review. JAMA. 2008; 300,
2886–2897.
4. Lauren L, Jarvelin MR, Elliott P, et al. Relationship between
birthweight and blood lipid concentrations in later life:
evidence from the existing literature. Int J Epidemiol. 2003; 32,
862–876.
5. Davies AA, Smith GD, Ben-Shlomo Y, et al. Low birth weight
is associated with higher adult total cholesterol concentration
in men: findings from an occupational cohort of 25,843
employees. Circulation. 2004; 110, 1258–1262.
6. Szathmari M, Vasarhelyi B, Szabo M, et al. Higher osteocalcin
levels and cross-links excretion in young men born with low
birth weight. Calcif Tissue Int. 2000; 67, 429–433.
7. Dennison E, Syddall H, Sayer A, et al. Birth weight and weight
at 1 year are independent determinants of bone mass in the
seventh decade: the Hertfordshire cohort study. Pediatr Res.
2005; 57, 582–586.
8. Laitinen J, Kiukaanniemi K, Heikkinen J, et al. Body size from
birth to adulthood and bone mineral content and density at
31 years of age: results from the northern Finland 1966
birth cohort study. Osteoporos Int. 2005; 16, 1417–1424.
9. Hovi P, Andersson S, Jarvenpaa A, et al. Decreased bone
mineral density in adults born with very low birth weight: a
cohort study. PLoS Med. 2009; 6, e1000135.
10. Jones A, Beda A, Ward AM, et al. Size at birth and autonomic
function during psychological stress. Hypertension. 2007; 49,
548–555.
11. Kajantie E, Raikkonen K. Early life predictors of the
physiological stress response later in life. Neurosci Biobehav
Rev. 2010; 35, 23–32.
12. Painter RC, de Rooij SR, Bossuyt PM, et al. Maternal
nutrition during gestation and carotid arterial compliance in
the adult offspring: the Dutch famine birth cohort. J Hypertens.
2007; 25, 533–540.
13. de Rooij SR, Painter RC, Phillips DI, et al. Impaired insulin
secretion after prenatal exposure to the Dutch famine. Diabetes
Care. 2006; 29, 1897–1901.
14. Jones A, Godfrey KM, Wood P, et al. Fetal growth and the
adrenocortical response to psychological stress. J Clin
Endocrinol Metab. 2006; 91, 1868–1871.
15. Rice F, Harold GT, Thapar A. The effect of birth-weight with
genetic susceptibility on depressive symptoms in childhood
and adolescence. Eur Child Adolesc Psychiatry. 2006; 15,
383–391.
16. Thompson C, Syddall H, Rodin I, et al. Birth weight and the
risk of depressive disorder in late life. Br J Psychiatry. 2001;
179, 450–455.
17. Gross LS, Li L, Ford ES, et al. Increased consumption of
refined carbohydrates and the epidemic of type 2 diabetes in
the United States: an ecologic assessment. Am J Clin Nutr.
2004; 79, 774–779.
18. Oh K, Hu FB, Cho E, et al. Carbohydrate intake, glycemic
index, glycemic load, and dietary fiber in relation to risk
of stroke in women. Am J Epidemiol. 2005; 161, 161–169.
19. Liu S, Willett WC, Stampfer MJ, et al. A prospective study of
dietary glycemic load, carbohydrate intake, and risk of
coronary heart disease in US women. Am J Clin Nutr. 2000;
71, 1455–1461.
Effects of in utero conditions on adult feeding preferences 147
20. Layman DK, Boileau RA, Erickson DJ, et al. A reduced ratio
of dietary carbohydrate to protein improves body composition
and blood lipid profiles during weight loss in adult women.
J Nutr. 2003; 133, 411–417.
21. Plagemann A, Harder T, Rake A, et al. Increased number of
galanin-neurons in the paraventricular hypothalamic nucleus
of neonatally overfed weanling rats. Brain Res. 1999; 818,
160–163.
22. Bayol SA, Farrington SJ, Stickland NC. A maternal ‘junk food’
diet in pregnancy and lactation promotes an exacerbated taste
for ‘junk food’ and a greater propensity for obesity in rat
offspring. Br J Nutr. 2007; 98, 843–851.
23. Silveira P, Portella A, Clemente Z, et al. Neonatal handling
alters feeding behavior of adult rats. Physiol Behav. 2004;
80, 739–745.
24. Bouret SG, Simerly RB. Development of leptin-sensitive
circuits. J Neuroendocrinol. 2007; 19, 575–582.
25. Plagemann A. Perinatal nutrition and hormone-dependent
programming of food intake. Horm Res. 2006; 65(Suppl 3),
83–89.
26. El-Haddad MA, Desai M, Gayle D, et al. In utero
development of fetal thirst and appetite: potential for
programming. J Soc Gynecol Investig. 2004; 11, 123–130.
27. Breier BH, Vickers MH, Ikenasio BA, et al. Fetal
programming of appetite and obesity. Mol Cell Endocrinol.
2001; 185, 73–79.
28. Bouret SG. Leptin, nutrition, and the programming of
hypothalamic feeding circuits. Nestle Nutr Workshop Ser
Pediatr Program. 2010; 65, 25–35; discussion 35-29.
29. Craig W. Appetites and aversions as constituents of
instincts. Proc Natl Acad Sci USA. 1917; 3, 685–688.
30. Swanson LW, Mogenson GJ. Neural mechanisms for the
functional coupling of autonomic, endocrine and
somatomotor responses in adaptive behavior. Brain Res.
1981; 228, 1–34.
31. Watts AG. Understanding the neural control of ingestive
behaviors: helping to separate cause from effect with
dehydration-associated anorexia. Horm Behav. 2000; 37,
261–283.
32. Berthoud HR. Multiple neural systems controlling food intake
and body weight. Neurosci Biobehav Rev. 2002; 26, 393–428.
33. Nicklaus S, Boggio V, Chabanet C, et al. A prospective study
of food variety seeking in childhood, adolescence and early
adult life. Appetite. 2005; 44, 289–297.
34. Skinner JD, Carruth BR, Wendy B, et al. Children’s food
preferences: a longitudinal analysis. J Am Diet Assoc. 2002;
102, 1638–1647.
35. Nicklas TA, Webber LS, Berenson GS. Studies of consistency
of dietary intake during the first four years of life in a
prospective analysis: Bogalusa Heart Study. J Am Coll Nutr.
1991; 10, 234–241.
36. Devine CM, Wolfe WS, Frongillo EA Jr, et al. Life-course
events and experiences: association with fruit and vegetable
consumption in 3 ethnic groups. J Am Diet Assoc. 1999;
99, 309–314.
37. Bradley RM, Stern IB. The development of the human taste
bud during the foetal period. J Anat. 1967; 101, 743–752.
38. Davis ME, Potter EL. Intrauterine respiration of the human
fetus. J Am Med Assoc. 1946; 131, 1194–1201.
39. Windle WF. Physiology of the Fetus; Origin and Extent of
Function in Prenatal Life. W. B. Saunders Company:
Philadelphia, 1940.
40. Brien JF, Loomis CW, Tranmer J, et al. Disposition of ethanol
in human maternal venous blood and amniotic fluid. Am J
Obstet Gynecol. 1983; 146, 181–186.
41. Mennella J, Jagnow C, Beauchamp G. Prenatal and postnatal
flavor learning by human infants. Pediatrics. 2001; 107, E88.
42. Mennella JA, Johnson A, Beauchamp GK. Garlic ingestion by
pregnant women alters the odor of amniotic fluid. Chem
Senses. 1995; 20, 207–209.
43. Mennella JA, Beauchamp GK. Maternal diet alters the sensory
qualities of human milk and the nursling’s behavior. Pediatrics.
1991; 88, 737–744.
44. Mennella JA, Beauchamp GK. The effects of repeated
exposure to garlic-flavored milk on the nursling’s behavior.
Pediatr Res. 1993; 34, 805–808.
45. Mennella J, Beauchamp G. The human infants’ response to
vanilla flavors in mother’s milk and formula. Infant Behav Dev.
1996; 19, 13–19.
46. Schwartz C, Issanchou S, Nicklaus S. Developmental
changes in the acceptance of the five basic tastes in the first
year of life. Br J Nutr. 2009; 102, 1375–1385.
47. Mennella J, Nicklaus S, Jagolino A, et al. Variety is the spice of
life: strategies for promoting fruit and vegetable acceptance
during infancy. Physiol Behav. 2008; 94, 29–38.
48. Sullivan S, Birch L. Infant dietary experience and acceptance of
solid foods. Pediatrics. 1994; 93, 271–277.
49. Gerrish CJ, Mennella JA. Flavor variety enhances food
acceptance in formula-fed infants. Am J Clin Nutr. 2001; 73,
1080–1085.
50. Liem DG, de Graaf C. Sweet and sour preferences in young
children and adults: role of repeated exposure. Physiol Behav.
2004; 15; 83, 421–429.
51. Scaglioni S, Salvioni M, Galimberti C. Influence of parental
attitudes in the development of children eating behaviour.
Br J Nutr. 2008; 99(Suppl 1), S22–S25.
52. Breer H. The sense of smell – reception of flavors. maillard
reaction: recent advances in food and biomedical sciences book
series. Ann N Y Acad Sci. 2008; 1126, 1–6.
53. Djordjevic J, Zatorre R, Jones-Gotman M. Odor-induced
changes in taste perception. Exp Brain Res. 2004; 159,
405–408.
54. Rozin P, Vollmecke T. Food likes and dislikes. Annu Rev Nutr.
1986; 6, 433–456.
55. Bolles RC. The Hedonics of Taste, 1991. L. Erlbaum Associates:
Hillsdale, NJ.
56. Rogers P, Hill A. Breakdown of dietary restraint following
mere exposure to food stimuli – interrelationships between
restraint, hunger, salivation, and food-intake. Addict Behav.
1989; 14, 387–397.
57. Johnson W, Wildman H. Influence of external and covert food
stimuli on insulin-secretion in obese and normal persons.
Behav Neurosci. 1983; 97, 1025–1028.
58. Louissylvestre J, Lemagnen J. Palatability and pre-absorptive
insulin release. Neurosci Biobehav Rev. 1980; 4, 43–46.
59. Feldman M, Richardson C. Role of thought, sight, smell, and
taste of food in the cephalic phase of gastric-acid secretion in
humans. Gastroenterology. 1986; 90, 428–433.
148 A. K. Portella et al.
60. Rolls E, Rolls J. Olfactory sensory-specific satiety in humans.
Physiol Behav. 1997; 61, 461–473.
61. Anliker J, Bartoshuk L, Ferris A, et al. Childrens food
preferences and genetic sensitivity to the bitter taste of
6-normal-propylthiouracil (prop). Am J Clin Nutr. 1991;
54, 316–320.
62. Birch L. Childrens preferences for high-fat foods. Nutr Rev.
1992; 50, 249–255.
63. Drewnowski A, Henderson S, Driscoll A, et al. Salt taste
perceptions and preferences are unrelated to sodium consumption
in healthy older adults. J Am Diet Assoc. 1996; 96, 471–474.
64. Gibney M, Sigmangrant M, Stanton J, et al. Consumption of
sugars. Am J Clin Nutr. 1995; 62, S178–S194; discussion
194S.
65. Anderson G. Sugars, sweetness, and food-intake. Am J Clin
Nutr. 1995; 62, S195–S202; discussion 201S–202S.
66. Frank R, Vanderklaauw N. The contribution of chemosensory
factors to individual-differences in reported food preferences.
Appetite. 1994; 22, 101–123.
67. Markskaufman R, Kanarek R. Morphine selectively influences
macronutrient intake in the rat. Pharmacol Biochem Behav.
1980; 12, 427–430.
68. Markskaufman R. Increased fat consumption induced by
morphine administration in rats. Pharmacol Biochem Behav.
1982; 16, 949–955.
69. Romsos D, Gosnell B, Morley J, et al. Effects of kappa-opiate
agonists, cholecystokinin and bombesin on intake of diets
varying in carbohydrate-to-fat ratio in rats. J Nutr. 1987; 117,
976–985.
70. Stanley B, Daniel D, Chin A, et al. Paraventricular nucleus
injections of peptide-YY and neuropeptide-Y preferentially
enhance carbohydrate ingestion. Peptides. 1985; 6, 1205–1211.
71. Baldwin A, Sadeghian K, Holahan M, et al. Appetitive
instrumental learning is impaired by inhibition of cAMP-
dependent protein kinase within the nucleus accumbens.
Neurobiol Learn Mem. 2002; 77, 44–62.
72. Corbit L, Muir J, Balleine B. The role of the nucleus
accumbens in instrumental conditioning: evidence of a
functional dissociation between accumbens core and shell.
J Neurosci. 2001; 21, 3251–3260.
73. Killgore W, Young A, Femia L, et al. Cortical and limbic
activation during viewing of high- versus low-calorie foods.
Neuroimage. 2003; 19, 1381–1394.
74. Rothemund Y, Preuschhof C, Bohner G, et al. Differential
activation of the dorsal striatum by high-calorie visual food
stimuli in obese individuals. Neuroimage. 2007; 37, 410–421.
75. Abizaid A, Liu Z, Andrews Z, et al. Ghrelin modulates the
activity and synaptic input organization of midbrain dopamine
neurons while promoting appetite. J Clin Invest. 2006; 116,
3229–3239.
76. Jerlhag E, Egecioglu E, Dickson S, et al. Ghrelin stimulates
locomotor activity and accumbal dopamine-overflow via
central cholinergic systems in mice: implications for its
involvement in brain reward. Addict Biol. 2006; 11, 45–54.
77. Figlewicz D. Adiposity signals and food reward: expanding the
CNS roles of insulin and leptin. Am J Physiol Regul Integr
Comp Physiol. 2003; 284, R882–R892.
78. Plagemann A. A matter of insulin: developmental
programming of body weight regulation. J Matern Fetal
Neonatal Med. 2008; 21, 143–148.
79. Ahima RS, Prabakaran D, Flier JS. Postnatal leptin surge and
regulation of circadian rhythm of leptin by feeding.
Implications for energy homeostasis and neuroendocrine
function. J Clin Invest. 1998; 101, 1020–1027.
80. Oliver G, Wardle J, Gibson E. Stress and food choice.
A laboratory study. Psychosom Med. 2000; 62, 853–865.
81. Mccann B, Warnick G, Knopp R. Changes in plasma-lipids
and dietary-intake accompanying shifts in perceived workload
and stress. Psychosom Med. 1990; 52, 97–108.
82. Wardle J, Steptoe A, Oliver G, et al. Stress, dietary restraint
and food intake. J Psychosom Res. 2000; 48, 195–202.
83. Michaud C, Kahn J, Musse N, et al. Relationships between a
critical life event and eating behavior in high-school-students.
Stress Med. 1990; 6, 57–64.
84. Epel E, Lapidus R, McEwen B, et al. Stress may add bite to
appetite in women: a laboratory study of stress-induced
cortisol and eating behavior. Psychoneuroendocrinology. 2001;
26, 37–49.
85. Dallman M, Pecoraro N, Akana S, et al. Chronic stress and
obesity: a new view of ‘comfort food’. Proc Natl Acad Sci USA.
2003; 100, 11696–11701.
86. Bembich S, Lanzara C, Clarici A, et al. Individual differences
in prefrontal cortex activity during perception of bitter taste
using fNIRS methodology. Chem Senses. 2010; 35, 801–812.
87. Zald D. Orbitofrontal cortex contributions to food selection
and decision making. Ann Behav Med. 2009; 38(Suppl 1),
S18–S24.
88. Davids S, Lauffer H, Thoms K, et al. Increased dorsolateral
prefrontal cortex activation in obese children during
observation of food stimuli. Int J Obes (Lond). 2010; 34,
94–104.
89. Leitner Y, Fattal-Valevski A, Geva R, et al.
Neurodevelopmental outcome of children with intrauterine
growth retardation: a longitudinal, 10-year prospective study.
J Child Neurol. 2007; 22, 580–587.
90. Geva R, Eshel R, Leitner Y, et al. Memory functions of
children born with asymmetric intrauterine growth restriction.
Brain Res. 2006; 1117, 186–194.
91. Franzek E, Sprangers N, Janssens A, et al. Prenatal exposure to
the 1944–45 Dutch ‘hunger winter’ and addiction later in life.
Addiction. 2008; 103, 433–438.
92. Heinonen K, Raikkonen K, Pesonen A, et al. Behavioural
symptoms of attention deficit/hyperactivity disorder in
preterm and term children born small and appropriate
for gestational age: a longitudinal study. BMC Pediatr. 2010;
10, 91.
93. Tonkiss J, Shukitthale B, Formica R, et al. Prenatal protein-
malnutrition alters response to reward in adult-rats. Physiol
Behav. 1990; 48, 675–680.
94. Farooqi I, Bullmore E, Keogh J, et al. Leptin regulates striatal
regions and human eating behavior. Science. 2007; 317,
1355–1355.
95. Figlewicz D, Bennett J, Aliakbari S, et al. Insulin acts at
different CNS sites to decrease acute sucrose intake and sucrose
self-administration in rats. Am J Physiol Regul Integr Comp
Physiol. 2008; 295, R388–R394.
Effects of in utero conditions on adult feeding preferences 149
96. Koistinen H, Koivisto V, Andersson S, et al. Leptin
concentration in cord blood correlates with intrauterine
growth. J Clin Endocrinol Metab. 1997; 82, 3328–3330.
97. Jaquet D, Leger J, Levy-Marchal C, et al. Ontogeny of
leptin in human fetuses and newborns: effect of intrauterine
growth retardation on serum leptin concentrations. J Clin
Endocrinol Metab. 1998; 83, 1243–1246.
98. Jaquet D, Leger J, Tabone M, et al. High serum leptin
concentrations during catch-up growth of children born with
intrauterine growth retardation. J Clin Endocrinol Metab.
1999; 84, 1949–1953.
99. Jaquet D, Gaboriau A, Czernichow P, et al. Relatively low
serum leptin levels in adults born with intra-uterine growth
retardation. Int J Obes Relat Metab Disord. 2001; 25, 491–495.
100. Jensen C, Storgaard H, Dela F, et al. Early differential defects
of insulin secretion and action in 19-year-old caucasian men
who had low birth weight. Diabetes. 2002; 51, 1271–1280.
101. de Rooij S, Painter R, Phillips D, et al. Impaired insulin
secretion after prenatal exposure to the Dutch famine. Diabetes
Care. 2006; 29, 1897–1901.
102. Ravelli A, van der Meulen J, Michels R, et al. Glucose
tolerance in adults after prenatal exposure to famine. Lancet.
1998; 351, 173–177.
103. Forsen T, Eriksson J, Tuomilehto J, et al. The fetal and
childhood growth of persons who develop type 2 diabetes. Ann
Intern Med. 2000; 133, 176–182.
104. Wang GJ, Volkow ND, Thanos PK, Fowler JS. Imaging of
brain dopamine pathways: implications for understanding
obesity. J Addict Med. 2009; 3, 8–18.
105. Blumenthal DM, Gold MS. Neurobiology of food addiction.
Curr Opin Clin Nutr Metab Care. 2010; 13, 359–365.
106. Kenny PJ. Reward mechanisms in obesity: new insights and
future directions. Neuron. 2011; 69, 664–679.
107. Avena NM, Rada P, Hoebel BG. Evidence for sugar addiction:
behavioral and neurochemical effects of intermittent, excessive
sugar intake. Neurosci Biobehav Rev. 2008; 32, 20–39.
108. Colantuoni C, Schwenker J, McCarthy J, et al. Excessive
sugar intake alters binding to dopamine and mu-opioid
receptors in the brain. NeuroReport. 2001; 12, 3549–3552.
109. Colantuoni C, Rada P, McCarthy J, et al. Evidence that
intermittent, excessive sugar intake causes endogenous opioid
dependence. Obes Res. 2002; 10, 478–488.
110. Avena NM, Long KA, Hoebel BG. Sugar-dependent rats show
enhanced responding for sugar after abstinence: evidence of a
sugar deprivation effect. Physiol Behav. 2005; 84, 359–362.
111. Avena NM, Carrillo CA, Needham L, Leibowitz SF, Hoebel
BG. Sugar-dependent rats show enhanced intake of
unsweetened ethanol. Alcohol. 2004; 34, 203–209.
112. Davis C, Strachan S, Berkson M. Sensitivity to reward:
implications for overeating and overweight. Appetite. 2004; 42,
131–138.
113. Martin B, Maudsley S, White C, et al. Hormones in the naso-
oropharynx: endocrine modulation of taste and smell. Trends
Endocrinol Metab. 2009; 20, 163–170.
114. Touzani K, Bodnar R, Sclafani A. Neuropharmacology of
learned flavor preferences. Pharmacol Biochem Behav. 2010;
97, 55–62.
115. Greenwood P, Hunt A, Hermanson J, et al. Effects of birth
weight and postnatal nutrition on neonatal sheep: I. Body
growth and composition, and some aspects of energetic
efficiency. J Anim Sci. 1998; 76, 2354–2367.
116. Ozanne S, Lewis R, Jennings B, et al. Early programming of
weight gain in mice prevents the induction of obesity by a
highly palatable diet. Clin Sci. 2004; 106, 141–145.
117. Zambrano E, Bautista C, Deas M, et al. A low maternal
protein diet during pregnancy and lactation has sex- and
window of exposure-specific effects on offspring growth and
food intake, glucose metabolism and serum leptin in the rat.
J Physiol. 2006; 571, 221–230.
118. Desai M, Gayle D, Babu J, et al. Programmed obesity in
intrauterine growth-restricted newborns: modulation by
newborn nutrition. Am J Physiol Regul Integr Comp Physiol.
2005; 288, R91–R96.
119. Vickers MH, Breier BH, Cutfield WS, et al. Fetal origins of
hyperphagia, obesity, and hypertension and postnatal
amplification by hypercaloric nutrition. Am J Physiol
Endocrinol Metab. 2000; 279, E83–E87.
120. Jia Y, Nguyen T, Desai M, et al. Programmed alterations in
hypothalamic neuronal orexigenic responses to ghrelin
following gestational nutrient restriction. Reprod Sci. 2008; 15,
702–709.
121. Desai M, Gayle D, Han G, et al. Programmed hyperphagia
due to reduced anorexigenic mechanisms in intrauterine
growth-restricted offspring. Reprod Sci. 2007; 14, 329–337.
122. Bellinger L, Langley-Evans S. Fetal programming of appetite
by exposure to a maternal low-protein diet in the rat. Clin Sci.
2005; 109, 413–420.
123. Engeham S, Haase A, Langley-Evans S. Supplementation of a
maternal low-protein diet in rat pregnancy with folic acid
ameliorates programming effects upon feeding behaviour in
the absence of disturbances to the methionine–homocysteine
cycle. Br J Nutr. 2010; 103, 996–1007.
124. Nakashima Y, Tsukita Y, Yokoyama M. Preferential fat intake
of pups nursed by dams fed low fat diet during pregnancy and
lactation is higher than that of pups nursed by dams fed
control diet and high fat diet. J Nutr Sci Vitaminol. 2008; 54,
215–222.
125. Samuelsson A, Matthews P, Argenton M, et al. Diet-induced
obesity in female mice leads to offspring hyperphagia,
adiposity, hypertension, and insulin resistance – a novel
murine model of developmental programming. Hypertension.
2008; 51, 383–392.
126. Lesage J, Del-Favero F, Leonhardt M, et al. Prenatal stress
induces intrauterine growth restriction and programmes
glucose intolerance and feeding behaviour disturbances in the
aged rat. J Endocrinol. 2004; 181, 291–296.
127. Pankevich D, Mueller B, Brockel B, et al. Prenatal stress
programming of offspring feeding behavior and energy balance
begins early in pregnancy. Physiol Behav. 2009; 98, 94–102.
128. Lussana F, Painter RC, Ocke MC, et al. Prenatal exposure
to the Dutch famine is associated with a preference for fatty
foods and a more atherogenic lipid profile. Am J Clin Nutr.
2008; 88, 1648–1652.
129. Stein AD, Rundle A, Wada N, et al. Associations of
gestational exposure to famine with energy balance and
macronutrient density of the diet at age 58 years differ
according to the reference population used. J Nutr. 2009;
139, 1555–1561.
150 A. K. Portella et al.
130. Barbieri M, Portella A, Silveira P, et al. Severe intrauterine
growth restriction is associated with higher spontaneous
carbohydrate intake in young women. Pediatr Res. 2009; 65,
215–220.
131. Cleeman J, Grundy S, Becker D, et al. Executive summary of
the third report of the National Cholesterol Education
Program (NCEP) expert panel on detection, evaluation, and
treatment of high blood cholesterol in adults (Adult Treatment
Panel III). JAMA. 2001; 285, 2486–2497.
132. Simpson SJ, Raubenheimer D. Obesity: the protein leverage
hypothesis. Obes Rev. 2005; 6, 133–142.
133. Bettiol H, Rona R, Chinn S, et al. Factors associated with
preterm births in southeast Brazil: a comparison of two births
cohorts born 15 years apart. Pediatr Res. 1999; 45,
101A–101A.
134. Da Silva C, Agranonik M, Da Silva A, et al. Secular trend
of very low birth weight rate in Porto Alegre, Southern Brazil.
J Biosoc Sci. 2010; 42, 243–253.
135. Samara M, Johnson S, Lamberts K, et al. Eating problems at
age 6 years in a whole population sample of extremely preterm
children. Dev Med Child Neurol. 2010; 52, e16–e22.
136. Doyle LW, Faber B, Callanan C, et al. Blood pressure in late
adolescence and very low birth weight. Pediatrics. 2003; 111,
252–257.
137. Hovi P, Andersson S, Ra
¨ikko
¨nen K, et al. Ambulatory blood
pressure in young adults with very low birth weight. J Pediatr.
2010; 156, 54–59.
138. Hovi P, Andersson S, Eriksson JG, et al. Glucose regulation
in young adults with very low birth weight. N Engl J Med.
2007; 356, 2053–2063.
139. Kajantie E, Strang-Karlsson S, Hovi P, et al. Adults born at
very low birth weight exercise less than their peers born at
term. J Pediatr. 2010; 157, 610–616, 616.e1.
140. Saigal S, Stoskopf B, Boyle M, et al. Comparison of current
health, functional limitations, and health care use of young
adults who were born with extremely low birth weight
and normal birth weight. Pediatrics. 2007; 119, e562–e573.
141. Hack M, Schluchter M, Cartar L, et al. Growth of very low
birth weight infants to age 20 years. Pediatrics. 2003; 112,
e30–e38.
142. Sipola-Leppa
¨nen M, Hovi P, Andersson S, et al. Resting
energy expenditure in adults born preterm at very low birth
weight. PLoS One. 2011; 6, e17700.
143. Kaseva N, Wehkalmpi K, Hemio
¨K, et al. Preterm birth at very
low birth weight and nutrient intake in adult life. Abstract 7th
World Congress on Developmental Origins of Health and
Disease. JDOHaD. 2011; 2, S103.
144. Navarro-Allende A, Khataan N, El-Sohemy A. Impact of
genetic and environmental determinants of taste with food
preferences in older adults. J Nutr Elder. 2008; 27, 267–276.
145. Chapman K, Ogden J. How do people change their diet? An
exploration into mechanisms of dietary change. J Health
Psychol. 2009; 14, 1229–1242.
146. Pacak K, Palkovits M. Stressor specificity of central
neuroendocrine responses: implications for stress-related
disorders. Endocr Rev. 2001; 22, 502–548.
147. Brunner E, Mosdol A, Witte D, et al. Dietary patterns and
15-y risks of major coronary events, diabetes, and mortality.
Am J Clin Nutr. 2008; 87, 1414–1421.
148. Halton T, Willett W, Liu S, et al. Potato and french fry
consumption and risk of type 2 diabetes in women. Am J Clin
Nutr. 2006; 83, 284–290.
149. van Dam R, Rimm E, Willett W, et al. Dietary patterns
and risk for type 2 diabetes mellitus in US men. Ann Intern
Med. 2002; 136, 201–209.
150. Fung T, Schulze M, Manson J, et al. Dietary patterns, meat
intake, and the risk of type 2 diabetes in women. Arch Intern
Med. 2004; 164, 2235–2240.
151. Nettleton J, Steffen L, Loehr L, et al. Incident heart failure
is associated with lower whole-grain intake and greater
high-fat dairy and egg intake in the Atherosclerosis Risk in
Communities (ARIC) Study. J Am Diet Assoc. 2008; 108,
1881–1887.
152. Hu F, Rimm E, Stampfer M, et al. Prospective study of
major dietary patterns and risk of coronary heart disease in
men. Am J Clin Nutr. 2000; 72, 912–921.
153. Varraso R, Fung T, Barr R, et al. Prospective study of
dietary patterns and chronic obstructive pulmonary disease
among US women. Am J Clin Nutr. 2007; 86, 488–495.
154. Slattery M, Boucher K, Caan B, et al. Eating patterns and risk
of colon cancer. Am J Epidemiol. 1998; 148, 4–16.
155. Flood A, Rastogi T, Wirfalt E, et al. Dietary patterns as
identified by factor analysis and colorectal cancer among
middle-aged Americans. Am J Clin Nutr. 2008; 88, 176–184.
156. Lopez-Garcia E, Schulze M, Fung T, et al. Major dietary
patterns are related to plasma concentrations of markers of
inflammation and endothelial dysfunction. Am J Clin Nutr.
2004; 80, 1029–1035.
157. Fung T, Rimm E, Spiegelman D, et al. Association between
dietary patterns and plasma biomarkers of obesity and
cardiovascular disease risk. Am J Clin Nutr. 2001; 73, 61–67.
158. Barclay A, Flood V, Brand-Miller J, et al. Glycemic index,
glycemic load, and chronic disease risk – reply. Am J Clin
Nutr. 2008; 88, 476–477.
159. Barclay A, Petocz P, McMillan-Price J, et al. Glycemic index,
glycemic load, and chronic disease risk – a metaanalysis of
observational studies. Am J Clin Nutr. 2008; 87, 627–637.
160. Holmberg S, Thelin A, Stiernstrom E. Food choices and
coronary heart disease: a population based cohort study of
rural swedish men with 12 years of follow-up. Int J Environ
Res Public Health. 2009; 6, 2626–2638.
161. Mellen P, Walsh T, Herrington D. Whole grain intake and
cardiovascular disease: a meta-analysis. Nutr Metab Cardiovasc
Dis. 2008; 18, 283–290.
162. Mozaffarian D, Kumanyika S, Lemaitre R, et al. Cereal, fruit,
and vegetable fiber intake and the risk of cardiovascular disease
in elderly individuals. JAMA. 2003; 289, 1659–1666.
163. Joshipura K, Hu F, Manson J, et al. The effect of fruit and
vegetable intake on risk for coronary heart disease. Ann Intern
Med. 2001; 134, 1106–1114.
164. Joshipura K, Ascherio A, Manson J, et al. Fruit and
vegetable intake in relation to risk of ischemic stroke.
JAMA. 1999; 282, 1233–1239.
165. Steffen L, Kroenke C, Yu X, et al. Associations of plant food,
dairy product, and meat intakes with 15-y incidence of
elevated blood pressure in young black and white adults: the
Coronary Artery Risk Development in Young Adults
(CARDIA) Study. Am J Clin Nutr. 2005; 82, 1169–1177.
Effects of in utero conditions on adult feeding preferences 151
166. Liese A, Roach A, Sparks K, et al. Whole-grain intake and
insulin sensitivity: the insulin resistance atherosclerosis study.
Am J Clin Nutr. 2003; 78, 965–971.
167. Pereira M, Jacobs D, Pins J, et al. Effect of whole grains
on insulin sensitivity in overweight hyperinsulinemic adults.
Am J Clin Nutr. 2002; 75, 848–855.
168. Qi L, Van Dam R, Liu S, et al. Whole-grain, bran, and cereal
fiber intakes and markers of systemic inflammation in diabetic
women. Diabetes Care. 2006; 29, 207–211.
169. Pereira MA, Pins JJ. Dietary fiber and cardiovascular
disease: experimental and epidemiologic advances. Curr
Atheroscler Rep. 2000; 2, 494–502.
170. Jenkins D, Axelsen M, Kendall C, et al. Dietary fibre, lente
carbohydrates and the insulin-resistant diseases. Br J Nutr.
2000; 83(Suppl 1), S157–S163.
171. Mozaffarian D, Ascherio A, Hu F, et al. Interplay between
different polyunsaturated fatty acids and risk of coronary heart
disease in men. Circulation. 2005; 111, 157–164.
172. He K, Rimm E, Merchant A, et al. Fish consumption and risk
of stroke in men. JAMA. 2002; 288, 3130–3136.
173. Smith K, McNaughton S, Gall S, et al. Takeaway food
consumption and its associations with diet quality and
abdominal obesity: a cross-sectional study of young adults. Int
J Behav Nutr Phys Act. 2009; 6, 29–41.
174. Larson N, Perry C, Story M, et al. Food preparation by young
adults is associated with better diet quality. J Am Diet Assoc.
2006; 106, 2001–2007.
175. Holmback I, Ericson U, Gullberg B, et al. A high eating
frequency is associated with an overall healthy lifestyle
in middle-aged men and women and reduced likelihood
of general and central obesity in men. Br J Nutr. 2010;
104, 1065–1073.
176. Masson LF, McNeill G, Avenell A. Genetic variation and
the lipid response to dietary intervention: a systematic review.
Am J Clin Nutr. 2003; 77, 1098–1111.
177. Franco V, Oparil S. Salt sensitivity, a determinant of blood
pressure, cardiovascular disease and survival. J Am Coll Nutr.
2006; 25, 247S–255S.
178. Bennet AM, Di Angelantonio E, Ye Z, et al. Association of
apolipoprotein E genotypes with lipid levels and coronary risk.
J Am Med Assoc. 2007; 298, 1300–1311.
179. Fontaine-Bisson B, Wolever TM, Chiasson JL, et al. Genetic
polymorphisms of tumor necrosis factor-alpha modify the
association between dietary polyunsaturated fatty acids and
fasting HDL-cholesterol and apo A-I concentrations. Am J
Clin Nutr. 2007; 86, 768–774.
180. Nettleton JA, Volcik KA, Hoogeveen RC, Boerwinkle E.
Carbohydrate intake modifies associations between
ANGPTL4[E40K] genotype and HDL-cholesterol
concentrations in White men from the Atherosclerosis Risk in
Communities (ARIC) study. Atherosclerosis. 2009; 203,
214–220.
181. Robinson SM, Batelaan SF, Syddall HE, et al. Combined
effects of dietary fat and birth weight on serum cholesterol
concentrations: the Hertfordshire Cohort Study. Am J Clin
Nutr. 2006; 84, 237–244.
182. de Boer MP, Ijzerman RG, de Jongh RT, et al. Birth weight
relates to salt sensitivity of blood pressure in healthy adults.
Hypertension. 2008; 51, 928–932.
183. Davis J, Ventura E, Shaibi G, et al. Interventions for
improving metabolic risk in overweight Latino youth. Int J
Pediatr Obes. 2010; 5, 451–455.
184. Davis J, Tung A, Chak S, et al. Aerobic and strength training
reduces adiposity in overweight Latina adolescents. Med Sci
Sports Exerc. 2009; 41, 1494–1503.
185. Raman A, Ritchie L, Lustig R, et al. Insulin resistance is
improved in overweight African American boys but not in girls
following a one-year multidisciplinary community intervention
program. J Pediatr Endocrinol Metab. 2010; 23, 109–120.
186. Savoye M, Shaw M, Dziura J, et al. Effects of a weight
management program on body composition and metabolic
parameters in overweight children – a randomized controlled
trial. JAMA. 2007; 297, 2697–2704.
187. Monzavi R, Dreimane D, Geffner M, et al. Improvement in
risk factors for metabolic syndrome and insulin resistance in
overweight youth who are treated with lifestyle intervention.
Pediatrics. 2006; 117, E1111–E1118.
188. Zhang C, Schulze M, Solomon C, et al. A prospective study
of dietary patterns, meat intake and the risk of gestational
diabetes mellitus. Diabetologia. 2006; 49, 2604–2613.
189. Silveira P, Portella A, Diorio J, et al. Preliminary evidence for
an impulsivity-based thrifty eating phenotype. Ped Res. 2012;
71, 293–298.
190. Ounsted M, Sleigh G. Infants self-regulation of food-intake and
weight-gain – difference in metabolic balance after growth
constraint or acceleration in utero. Lancet. 1975; 1, 1393–1397.
191. Hales CN, Barker DJ. The thrifty phenotype hypothesis.
Br Med Bull. 2001; 60, 5–20.
192. Ayres C, Portella AK, Filion F, Johnston C, Silveira PP.
Correlation between intrauterine growth restriction (IUGR)
and hedonic responses to a sucrose solution in newborn
infants. Revista HCPA. 2010; 30.
152 A. K. Portella et al.
... Subjects born small for gestational age (SGA) are vulnerable to develop type II diabetes as a consequence of inadequate insulin secretion that begins at birth and is followed by a progressive decrease in insulin sensitivity throughout life (Barker, 1999(Barker, , 2005Barker et al., 1993;Boehmer et al., 2017;Gatford et al., 2010;Gatford & Simmons, 2013;Hales & Barker, 1992). Interestingly, and in agreement with the notion that central insulin action modifies cognitive and eating behavior outcomes, SGA individuals demonstrate greater preference for hyperpalatable foods (foods high in energy, fat, sugar or salt/sodium) (Ayres et al., 2012;Barbieri et al., 2009;Crume et al., 2014;DalleMolle & Silveira, 2015;Kaseva et al., 2013;Laureano et al., 2016;Lussana et al., 2008;Perala et al., 2012;Portella et al., 2012;Rotstein et al., 2015;Silveira et al., 2012;Stein et al., 2009), and have a higher incidence of cognitive impairments when compared to the general population (Allen, 1984;Bickle Graz et al., 2015;Chaudhari et al., 2013;El Ayoubi et al., 2016;Geva et al., 2006;Grantham-McGregor, 1998;Guellec et al., 2011;Kutschera et al., 2002;Martorell et al., 1998;Morsing et al., 2011;Starcevic et al., 2016). Cognitive impairments in individuals born with low birth weight have been associated with a reduced volume in the hippocampus (Abernethy et al., 2003;CamprubiCamprubi et al., 2017;de Bie et al., 2015;Gimenez et al., 2004;Isaacs et al., 2000Isaacs et al., , 2004Leitner et al., 2005), a brain region vulnerable to neonatal insults (Cintra et al., 1990;Debassio et al., 1994;Kuchna, 1994;Lodygensky et al., 2008;Schmidt-Kastner & Freund, 1991;Sizonenko et al., 2006). ...
... In agreement with previous findings, we hypothesized that poor insulin sensitivity would also contribute to energy intake imbalance and obesogenic behavior (Mucellini et al., 2017). Being born SGA is the most prevalent and clinically significant feature associated with variations in insulin sensitivity early in life (Xu et al., 2019), and this condition is linked to altered behavior towards palatable foods at different ages, which contributes to their increased risk for chronic metabolic disease later in life (Ayres et al., 2012;Barbieri et al., 2009;Crume et al., 2014;DalleMolle & Silveira, 2015;Kaseva et al., 2013;Laureano et al., 2016;Lussana et al., 2008;Perala et al., 2012;Portella et al., 2012;Rotstein et al., 2015;Silveira et al., 2012;Stein et al., 2009). To investigate a potential clinical relevance of this work, a secondary aim of this study was to understand if the behaviors linked to variations in insulin sensitivity are also prominent in SGA individuals compared to normal birth weight adolescents. ...
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While classically linked to memory, the hippocampus is also a feeding behavior modulator due to its multiple interconnected pathways with other brain regions and expression of receptor for metabolic hormones. Here we tested whether variations in insulin sensitivity would be correlated with differential brain activation following exposure to palatable food cues, as well as with variations in implicit food memory in a cohort of healthy adolescents, some of whom were born small for gestational age (SGA). Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) was positively correlated with activation in the cuneus, and negatively correlated with activation in the middle frontal lobe, superior frontal gyrus and precuneus when presented with palatable food images versus non-food images in healthy adolescents. Additionally, HOMA-IR and insulinemia were higher in participants with impaired food memory. SGA individuals had higher snack caloric density and greater chance for impaired food memory. There was also an interaction between the HOMA-IR and birth weight ratio influencing external eating behavior. We suggest that diminished insulin sensitivity correlates with activation in visual attention areas and inactivation in inhibitory control areas in healthy adolescents. Insulin resistance also associated with less consistency in implicit memory for a consumed meal, which may suggest lower ability to establish a dietary pattern, and can contribute to obesity. Differences in feeding behavior in SGA individuals were associated with insulin sensitivity and hippocampal alterations, suggesting that cognition and hormonal regulation are important components involved in food intake modifications throughout life.
... 14,15 The thrifty eating hypothesis proposes that eating behavior could be programmed early in life as a way to survive in response to low food availability; however, this programming could promote obesity in a food environment of excess calories. [16][17][18][19][20] Thereby, intrauterine growth restriction (IUGR), a condition caused by maternal, fetal, or placental features and inadequate fetal growth, has been considered as a model to study the thrifty eating hypothesis. Infants born IUGR are predisposed to attention deficit hyperactivity disorder in childhood and diseases in adulthood (e.g., obesity, type 2 diabetes mellitus, coronary artery disease, stroke, and depression). ...
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Background: Alterations in eating behavior are common in infants with intrauterine growth restriction (IUGR); omega-3 polyunsaturated fatty acids (PUFA) could provide protection. We hypothesized that those born IUGR with a genetic background associated with increased production of omega-3-PUFA will have more adaptive eating behaviors during childhood. Methods: IUGR/non-IUGR classified infants from MAVAN and GUSTO cohorts were included at the age of 4 and 5 years, respectively. Their parents reported child's eating behaviors using the child eating behavior questionnaire-CEBQ. Based on the GWAS on serum PUFA (Coltell 2020), three polygenic scores were calculated. Results: Significant interactions between IUGR and polygenic score for omega-3-PUFA on emotional overeating (β = -0.15, P = 0.049 GUSTO) and between IUGR and polygenic score for omega-6/omega-3-PUFA on desire to drink (β = 0.35, P = 0.044 MAVAN), pro-intake/anti-intake ratio (β = 0.10, P = 0.042 MAVAN), and emotional overeating (β = 0.16, P = 0.043 GUSTO) were found. Only in IUGR, a higher polygenic score for omega-3-PUFA associated with lower emotional overeating, while a higher polygenic score for omega-6/omega-3-PUFA ratio was associated with a higher desire to drink, emotional overeating, and pro-intake/anti-intake. Conclusion: Only in IUGR, the genetic background for higher omega-3-PUFA is associated with protection against altered eating behavior, while the genetic score for a higher omega-6/omega-3-PUFA ratio is associated with altered eating behavior. Impact: A genetic background related to a higher polygenic score for omega-3 PUFA protected infants born IUGR against eating behavior alterations, while a higher polygenic score for omega-6/omega-3 PUFA ratio increased the risk of having eating behavior alterations only in infants born IUGR, irrespective of their adiposity in childhood. Genetic individual differences modify the effect of being born IUGR on eating outcomes, increasing the vulnerability/resilience to eating disorders in IUGR group and likely contributing to their risk for developing metabolic diseases later in life.
... SB intake among adults may reflect a lack of knowledge of the health-related consequences of SBs, because parents aware of the adverse effects consume SBs less frequently (Morel et al., 2019;Park et al., 2014;Zahid et al., 2017). Moreover, prenatal and early postnatal exposure to certain foods (including in utero, via the mother) may predispose children to be more receptive to that food or flavour after birth (Hausner et al., 2010;Mennella et al., 2001;Portella et al., 2012). Finally, data on the influence of ethnicity on SB consumption patterns are scarce, but one acculturation study found an increase in SB consumption among South Asians after immigrating to Canada (Lesser et al., 2014). ...
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ObjectivesA woman’s food choices during pregnancy may be associated with her offspring’s food choices. Several studies support an association between childhood sugary beverage (SB) consumption and poor cardiometabolic health. This study aimed to assess the association of maternal SB consumption during pregnancy and later, with her offspring’s SB consumption in early infancy and childhood.MethodsA total of 1945 women and 1595 children participating in 3 Canadian studies reported SB consumption during pregnancy, at 2 years of age, and/or at school age (5 to 8 years old). Mother and offspring SB intakes were self-reported by mothers. Multivariable linear regression analyses were conducted within each cohort and cohort data were combined using fixed effect meta-analyses.ResultsMaternal SB consumption during pregnancy was associated with higher offspring SB consumption at 2 years of age (standardized β = 0.19 predicted change in the number of standard deviations of offspring SB intake for an increase of 1 standard deviation in maternal serving [95% CI: 0.16 to 0.22]). Concurrent maternal SB consumption was associated with higher offspring SB intake when children were aged 5 to 8 years (standardized β= 0.25 [95% CI: 0.10 to 0.40]).Conclusion Maternal SB consumption during pregnancy is associated with a marginally higher SB intake among their offspring at age 2, and concurrent maternal consumption is associated with a higher SB intake among school-aged offspring (5 to 8 years old). Future interventions tailored for pregnancy and early childrearing years to reduce SB intakes of mothers may reduce young children’s SB intake.
... The formation of carotid plaque is a complex process. The fetal or early origins of adult disease hypothesis states that environmental factors, particularly nutrition, act in early life to program the risks for chronic diseases in adult life [8,9]. This theory has been proved to be true in human natural famine exposure, including the Netherlands and Ukraine famine [10][11][12]. ...
Article
Full-text available
Background: Famine exposure is a potential risk factor for adverse cardiometabolic health. However, the relationship between famine exposure during early life and carotid plaque in adulthood remains unclear. Therefore, the aim was to investigate the relationship between famine exposure during early life and the risks for carotid plaque in adulthood. Methods: This was a cross-sectional study. Data were collected between 2017 and 2018 in Guangdong, China. Subjects who were born between 1 October 1952 and 30 September 1964, and had the carotid ultrasound measurement were enrolled. All included participants were divided into five groups: no exposure, fetal exposure, early-childhood exposure, mid-childhood exposure, and late-childhood exposure. Carotid plaque was assessed by carotid ultrasound examination. Multivariate logistic regression was used to estimate the odds ratio (OR) and confidence interval (CI) between famine exposure and carotid plaque. Results: There were 2652 subjects enrolled, 973 (36.7%) of them were males, and the mean age was 59.1 ± 3.6 years. The prevalence of carotid plaque in unexposed, fetal-exposed, early-childhood, mid-childhood, and late-childhood exposed groups were 40.2%, 40.8%, 55.3%, 56.8%, and 62.1%, respectively. When compared with the unexposed group, the fully adjusted ORs for carotid plaque from fetal-exposed, early-childhood, mid-childhood to late-childhood exposed were 1.023 (95% CI: 0.771, 1.357, P = 0.872), 1.755 (95% CI: 1.356, 2.275, P < 0.001), 1.780 (95% CI: 1.391, 2.280, P < 0.001), and 2.119 (95% CI: 1.643, 2.739, P < 0.001), respectively. Subgroup analyses showed that the famine effect on carotid plaque did not interact with body mass index, gender, smoking status, hypertension, and diabetes history (all P for interaction > 0.500). Conclusions: Famine exposure during early life was significantly associated with an increased risk of carotid plaque in adulthood.
... It is possible that an adverse fetal environment of persistent hyperglycemia impacts the development of specific food preferences (i.e. sweet-tasting foods), which may predispose to metabolic risk in later life (27). Previous research using the preschool version of NutriSTEP has also shown that subscores relating to eating behaviours are potentially modifiable characteristics of metabolic risk, and may be more predictive of health outcomes compared with dietary intake in early childhood (28). ...
Article
Objective Exposure to gestational diabetes mellitus (GDM) in utero may impact nutritional intake and lifestyle habits in early childhood. However, it is unclear if nutritional status predicts greater risk for metabolic disturbances, such as insulin resistance (IR). The primary objectives were (1) to determine parent-reported nutritional risk scores in 2-year old children born to women with and without GDM, and (2) to assess whether these scores predict IR in 5-year old children. Methods Children exposed (n = 34) and unexposed (n = 46) to GDM were screened at 2-years of age using the toddler version of the Nutrition Screening Tool for Every Preschooler (NutriSTEP®). At a 5-year follow-up, IR was assessed using the homeostatic model assessment (HOMA-IR). Results Total NutriSTEP® scores ranged from 6 to 33, with higher scores indicating greater risk. After controlling for infant birth weight, sex of the child, child ethnicity, maternal age at time of pregnancy, and maternal pre-pregnancy BMI, average NutriSTEP® scores were higher in children exposed to GDM compared to those unexposed (13.8 ± 1.1 vs. 11.2 ± 1.1, p = 0.03). NutriSTEP® scores at 2-years emerged as a positive independent predictor of HOMA-IR at 5-years. For each unit increase in the NutriSTEP® score, suggesting greater nutritional risk, we saw a 0.48 (95% confidence intervals: 0.17 – 0.80, p = 0.003) increase in HOMA-IR. Conclusions Parent-reported nutritional risk is greater in GDM-exposed children, and these nutritional behaviours developed during the first years of life may predispose to metabolic disturbance in early childhood.
... There are several examples showing that pre-or perinatal environment predict later dietary habits 41 . In adults born preterm, lower consumption of vegetables and fruits have been observed 42 . ...
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Maternal pre-pregnancy overweight/obesity and gestational diabetes (GDM) are associated with increased fat deposition in adult offspring. The purpose of this study was to identify if maternal pre-pregnancy overweight (body mass index (BMI) ≥ 25 kg/m²) or GDM are associated with dietary quality or intake in adult offspring. Participants (n = 882) from two longitudinal cohort studies (ESTER Maternal Pregnancy Disorders Study and the Arvo Ylppö Longitudinal Study) completed a validated food-frequency questionnaire at a mean age of 24.2 years (SD 1.3). Diet quality was evaluated by a Recommended Finnish Diet Index (RDI). The study sample included offspring of normoglycaemic mothers with pre-pregnancy overweight/obesity (ONO = 155), offspring of mothers with GDM regardless of BMI (OGDM = 190) and offspring of mothers with normal weight and no GDM (controls; n = 537). Among men, daily energy and macronutrient intakes were similar in ONO and controls. However, after adjusting for current offspring characteristics, including BMI, daily carbohydrate intake relative to total energy intake was higher in ONO-men [2.2 percentages of total energy intake (95% confidence interval 0.4, 4.0)]. In ONO-women, macronutrient intakes relative to total energy intake were similar with controls, while total daily energy intake seemed lower [−587.2 kJ/day (−1192.0, 4.4)]. After adjusting for confounders, this difference was attenuated. Adherence to a healthy diet, as measured by RDI, was similar in ONO and controls [mean difference: men 0.40 (−0.38, 1.18); women 0.25 (−0.50, 1.00)]. In OGDM vs. controls, total energy and macronutrient intakes were similar for both men and women. Also adherence to a healthy diet was similar [RDI: men 0.09 (−0.62, 0.80); women −0.17 (−0.93, 0.59)]. Our study suggested higher daily carbohydrate intake in male offspring exposed to maternal pre-pregnancy overweight/obesity, compared with controls. Prenatal exposure to GDM was not associated with adult offspring dietary intakes.
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The rising rate of chronic disease is a leading driver of the global disease burden. Yet, its determinants are not fully understood. Exploiting the Green Revolution and its expansion in historically groundwater-rich Indian districts, we examine the unanticipated contribution of agricultural productivity growth to the rise in chronic, diet-related diseases. We find that areas with greater adoption of new staple varieties saw an increase in diabetes in men born after the introduction of high-yield crops. We find suggestive evidence that diet is an important mechanism, such as heterogeneous impacts with respect to dietary habits and increases in household calorie consumption. (JEL I12, O13, O15, O31, Q12, Q16)
Chapter
Odorant compounds that mammalian females ingest during pregnancy/lactation permeate to their perinatal offspring, impinging on progeny’s developing chemoreception and shaping subsequent preferences and behaviour. Long-term effects of these earliest experience have been repeatedly found with single flavour qualities, which induce postnatal selectivity in increasing preferences or reducing aversions. The two studies presented here attempted to go a step further with the laboratory mouse as model. Study 1 aimed examining whether prenatal only, postnatal only, or pre- and postnatal (transnatal) exposures to a single flavour through gestating/lactating dams’ drinking water orients differentially selective responsiveness for that flavour. While perinatal exposure to the flavour appeared to affect positively its exploration by 6-day-old pups, only post and transnatal exposure modified its consumption in drinking flavoured water after weaning. Study 2 aimed to go beyond exposure to a single flavour in assessing whether experiencing prenatally or postnatally a variety of flavours can influence later non-selective responsiveness to chemosensory and visual novelty. Specifically, weanling mice born to pregnant/lactating dams fed a regimen of flavour variety will be compared with weanlings exposed to a control regimen of flavour monotony. ‘Chemo-variety’ exposure consisted in odourising gestating/lactating dams’ drinking water with six flavourants changed every other day over a period of 6 days before or after birth. Control gestating/lactating dams were offered non-flavoured water. After weaning, offspring of both groups were tested for differential reactivity to novel olfactory or visual environments. While perinatal exposure to chemo-variety appeared to somehow affect ‘anxious’ reactivity and neophobic behaviour in weanlings, ingestion neophobia appeared relatively insensitive to early experience. Some sex differences emerged in these conditions, with females appearing more sensitive to the impact of perinatal chemosensory enrichment.
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Fetal restriction (FR) alters insulin sensitivity, but it is unknown how the metabolic profile associated with restriction affects development of the dopamine (DA) system and DA-related behaviors. The Netrin-1/DCC guidance cue system participates in maturation of the mesocorticolimbic DA circuitry. Therefore, our objective was to identify if FR modifies Netrin-1/DCC receptor protein expression in the prefrontal cortex (PFC) at birth and mRNA in adulthood in rodent males. We used cultured HEK293 cells to assess if levels of miR-218, microRNA regulator of DCC, are sensitive to insulin. To assess this, pregnant dams were subjected to a 50% FR diet from gestational day 10 until birth. Medial PFC (mPFC) DCC/Netrin-1 protein expression was measured at P0 at baseline and Dcc/Netrin-1 mRNA levels were quantified in adults 15 min after a saline/insulin injection. miR-218 levels in HEK-293 cells were measured in response to insulin exposure. At P0, Netrin-1 levels are downregulated in FR animals in comparison to controls. In adult rodents, insulin administration results in an increase in Dcc mRNA levels in control but not FR rats. In HEK293 cells, there is a positive correlation between insulin concentration and miR-218 levels. Since miR-218 is a Dcc gene expression regulator and our in vitro results show that insulin regulates miR-218 levels, we suggest that FR-induced changes in insulin sensitivity could be affecting Dcc expression via miR-218, impacting DA system maturation and organization. As fetal adversity is linked to nonadaptive behaviors later in life, this may contribute to early identification of vulnerability to chronic diseases associated with fetal adversity.
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Background Impaired fetal growth may increase vulnerability towards metabolic disturbances associated with some medications. We examined whether birth weight and ponderal index modify the association between psychotropic medication and type 2 diabetes among young adults with severe psychiatric diagnosis. Methods A total of 36,957 individuals born in Denmark between 1973 and 1983 with a diagnosis of schizophrenia, bipolar disorder, or depression were followed from first diagnosis until 2018. Cox proportional hazard models were applied to analyse risk of type 2 diabetes with use of psychotropic medications and interactions between psychotropic medication and birth weight and ponderal index, respectively. Results During follow-up, 1575 (4.2%) individuals received a diagnosis of type 2 diabetes. Use of antipsychotic, mood stabilizing and antidepressant medications were associated with higher hazard ratios (HRs) of type 2 diabetes (HRantipsychotics 1.68 [95%CI 1.49–1.90]; HRmood stabilizing medication 1.41 [95%CI 1.25–1.59]; HRantidepressants 2.00 [95%CI 1.68–2.37]), as were a birth weight below 2500 g (HR 1.13 [95%CI 1.01–1.28]), and high ponderal index (HR 1.26 [95%CI 1.11–1.43]). The highest rates of type 2 diabetes for each psychotropic medication category were found in medication users with low birth weight or high ponderal index. However, neither birth weight nor ponderal index significantly modified the association between psychotropic medication and diabetes risk. Conclusion Psychotropic medication use, birth weight, and ponderal index were risk factors for type 2 diabetes in patients with severe mental illness, but neither birth weight nor ponderal index modified the association between psychotropic medication and type 2 diabetes.
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The mammalian infant experiences a variety of flavors prior to weaning because volatile compounds, such as vanilla, are transferred from the mother's diet to her milk. Following nursing mothers' consumption of vanilla flavor, their infants breast-fed longer and consumed more milk as compared to when their mothers consumed the diluent alone. Consistent with these findings, the bottle-fed infants' responses to vanilla-flavored formula were altered relative to their responses to the unflavored formula. In a short-term preference test, experimentally naive infants sucked more vigorously when feeding the vanilla-flavored formula. In a second test that encompassed an entire feeding, they spent more time feeding initially when the formula was flavored with vanilla. This differential responsiveness to the vanilla-flavored formula was absent following these two exposures to vanilla, however. These data support the hypothesis that flavors, either consumed by the mother and transmitted to her milk or added to formula, are detected by the infant and serve to modulate feeding. They also suggest that experience with a flavor in milk alters the infant's responsiveness to that flavor during subsequent feedings. It is hypothesized that under the natural condition of breast-feeding, infants become familiar with the flavors consumed by their mothers, and such experiences may impact on later food and flavor acceptability and choice.
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Background: Endothelial dysfunction is one of the mechanisms linking diet and the risk of cardiovascular disease. Objective: We evaluated the hypothesis that dietary patterns (summary measures of food consumption) are directly associated with markers of inflammation and endothelial dysfunction, particularly C-reactive protein (CRP), interleukin 6, E-selectin, soluble intercellular adhesion molecule 1 (sICAM-1), and soluble vascular cell adhesion molecule 1 (sVCAM-1). Design: We conducted a cross-sectional study of 732 women from the Nurses' Health Study I cohort who were 43-69 y of age and free of cardiovascular disease, cancer, and diabetes mellitus at the time of blood drawing in 1990. Dietary intake was documented by using a validated food-frequency questionnaire in 1986 and 1990. Dietary patterns were generated by using factor analysis. Results: A prudent pattern was characterized by higher intakes of fruit, vegetables, legumes, fish, poultry, and whole grains, and a Western pattern was characterized by higher intakes of red and processed meats, sweets, desserts, French fries, and refined grains. The prudent pattern was inversely associated with plasma concentrations of CRP (P = 0.02) and E-selectin (P = 0.001) after adjustment for age, body mass index (BMI), physical activity, smoking status, and alcohol consumption. The Western pattern showed a positive relation with CRP (P < 0.001), interleukin 6 (P = 0.006), E-selectin (P < 0.001), sICAM-1 (P < 0.001), and sVCAM-1 (P = 0.008) after adjustment for all confounders except BMI; with further adjustment for BMI, the coefficients remained significant for CRP (P = 0.02), E-selectin (P < 0.001), sICAM-1 (P = 0.002), and sVCAM-1 (P = 0.02). Conclusion: Because endothelial dysfunction is an early step in the development of atherosclerosis, this study suggests a mechanism for the role of dietary patterns in the pathogenesis of cardiovascular disease.
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Background: Increased intake of whole-grain foods has been related to a reduced risk of developing diabetes and heart disease. One underlying pathway for this relation may be increased insulin sensitivity. Objective: We assessed the relation between dietary intake of whole grain-containing foods and insulin sensitivity (SI). Design: We evaluated data from the Insulin Resistance Atherosclerosis Study (IRAS Exam I, 1992-1994). Usual dietary intakes in 978 middle-aged adults with normal (67%) or impaired (33%) glucose tolerance were ascertained by using an interviewer-administered, validated food-frequency questionnaire. Whole-grain intake (servings per day) was derived from dark breads and high-fiber and cooked cereals. SI was assessed by minimal model analyses of the frequently sampled intravenous-glucose-tolerance test. Fasting insulin was measured by using a radioimmunoassay. We modeled the relation of whole-grain intake to log(SI + 1) and to log(insulin) by using multivariable linear regression. Results: On average, IRAS participants consumed 0.8 servings of whole grains/d. Whole-grain intake was significantly associated with SI (β = 0.082, P = 0.0005) and insulin (β = −0.0646, P = 0.019) after adjustment for demographics, total energy intake and expenditure, smoking, and family history of diabetes. The addition of body mass index and waist circumference attenuated but did not explain the association with SI. The addition of fiber and magnesium resulted in a nonsignificant association that is consistent with the hypothesis that these constituents account for some of the effect of whole grains on SI. Conclusion: Higher intakes of whole grains were associated with increases in insulin sensitivity.
Conference Paper
Background: Increased intake of whole-grain foods has been related to a reduced risk of developing diabetes and heart disease. One underlying pathway for this relation may be increased insulin sensitivity. Objective: We assessed the relation between dietary intake of whole grain-containing foods and insulin sensitivity (S-I). Design: We evaluated data from the Insulin Resistance Atherosclerosis Study (IRAS Exam 1, 1992-1994). Usual dietary intakes in 978 middle-aged adults with normal (67%) or impaired (33%) glucose tolerance were ascertained by using an interviewer- administered, validated food-frequency questionnaire. Whole-grain intake (servings per day) was derived from dark breads and high fiber and cooked cereals. S-I was assessed by minimal model analyses of the frequently sampled intravenous-glucose-tolerance test. Fasting insulin was measured by using a radioimmunoassay. We modeled the relation of whole-grain intake to log(S-I + 1) and to log(insulin) by using multivariable linear regression. Results: On average, IRAS participants consumed 0.8 servings of whole grains/d. Whole-grain intake was significantly associated with S-I (beta = 0.082, P = 0.0005) and insulin (beta = -0.0646, P = 0.019) after adjustment for demographics, total energy intake and expenditure, smoking, and family history of diabetes. The addition of body mass index and waist circumference attenuated but did not explain the association with S-I. The addition of fiber and magnesium resulted in a nonsignificant association that is consistent with the hypothesis that these constituents account for some of the effect of whole grains on S-I. Conclusion: Higher intakes of whole grains were associated with increases in insulin sensitivity.
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The aim of this study was to investigate the ontogeny of serum leptin concentrations during the second half of gestation and at birth in small for gestational age and normal fetuses and newborns. Serum leptin concentrations were measured in arterial cord blood of fetuses (n = 79) and newborns (n = 132), with or without intrauterine growth retardation, at 18-42 weeks gestation. Serum leptin was detectable in fetal cord blood in all subjects as early as 18 weeks gestation. Leptin levels dramatically increased after 34 weeks gestation. In newborns, serum leptin concentrations were positively correlated with body weight (P < 0.001) and body mass index (P < 0.001). Newborns with intrauterine growth retardation had significantly lower serum leptin values (P < 0.001) than those with normal growth, and leptin levels were only positively correlated with body mass index (P < 0.001). These results suggest that the development of adipose tissue and the accumulation of fat mass are the major determinants of fetal and neonatal serum leptin levels. In addition, a gender difference, with higher leptin concentrations in female fetuses, was observed during the last weeks of gestation and was confirmed at birth regardless of growth status, suggesting that a sexual dimorphism already exists in utero.
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Background: Type 2 diabetes is associated with low birthweight followed by obesity in adulthood. Persons who develop the disease may therefore have a particular pattern of growth from birth through childhood. Objective: To examine the relation of type 2 diabetes to size at birth and childhood growth. Design: Cohort study. Setting: Helsinki, Finland. Participants: Men (n = 3639) and women (n = 3447) who were born at the Helsinki University Central Hospital between 1924 and 1933, who went to school in Helsinki, and who still lived in Finland in 1971. Detailed birth and school health records were available for all 7086 participants. We identified 471 men and women who developed type 2 diabetes by using the national Social Insurance Institution's register of all persons in Finland who are receiving long-term therapy with medication. Measurements: Incidence of diabetes ascertained from a national register. The main explanatory measurements were size at birth and childhood growth in terms of height, weight, and body mass index. Results: The cumulative incidence of type 2 diabetes was 7.9% (n = 286) in men and 5.4% (n = 185) in women. The incidence increased with decreasing birthweight, birth length, ponderal index (birthweight/length 3 ), and placental weight The odds ratio for type 2 diabetes was 1.38 (95% CI, 1.15 to 1.66; P < 0.001) for each 1-kg decrease in birthweight. The mean weights and heights of the children at 7 years of age who later developed type 2 diabetes were about average. Thereafter, their growth in weight and height was accelerated until 15 years of age. The odds ratio for development of type 2 diabetes was 1.39 (Cl, 1.21 to 1.61; P < 0.001) for each standard deviation increase in weight between 7 and 15 years of age. The odds ratio became 1.83 (Cl, 1.37 to 2.45; P < 0.001) in an analysis restricted to persons whose birthweights were below 3000 g. Children of both sexes whose mothers had a high body mass index in pregnancy had more rapid growth during childhood and an increased incidence of type 2 diabetes. Conclusions: These findings are consistent with the hypothesis that type 2 diabetes is programmed in utero in association with low rates of fetal growth. The increased risk for type 2 diabetes associated with small size at birth is further increased by high growth rates after 7 years of age.