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Abstract

Compared to a few decades ago, adults, as well as children, sleep less. Sleeping as little as possible is often seen as an admirable behavior in contemporary society. However, sleep plays a major role in neuroendocrine function and glucose metabolism. Evidence that the curtailment of sleep duration may have adverse health effects has emerged in the past 10 years. Accumulating evidence from both epidemiologic studies and well-controlled laboratory studies indicates that chronic partial sleep loss may increase the risk of obesity and weight gain. The present chapter reviews epidemiologic studies in adults and children and laboratory studies in young adults indicating that sleep restriction results in metabolic and endocrine alterations, including decreased glucose tolerance, decreased insulin sensitivity, increased evening concentrations of cortisol, increased levels of ghrelin, decreased levels of leptin and increased hunger and appetite. Altogether, the evidence points to a possible role of decreased sleep duration in the current epidemic of obesity. Bedtime extension in short sleepers should be explored as a novel behavioral intervention that may prevent weight gain or facilitate weight loss. Avoiding sleep deprivation may help to prevent the development of obesity, particularly in children.
Role of Sleep and Sleep Loss in Hormonal Release and
Metabolism
Rachel Leproult and Eve Van Cauter
Department of Medicine, University of Chicago, Chicago, Ill., USA
Abstract
Compared to a few decades ago, adults, as well as children, sleep less. Sleeping as little as
possible is often seen as an admirable behavior in contemporary society. However, sleep plays a
major role in neuroendocrine function and glucose metabolism. Evidence that the curtailment of
sleep duration may have adverse health effects has emerged in the past 10 years. Accumulating
evidence from both epidemiologic studies and well-controlled laboratory studies indicates that
chronic partial sleep loss may increase the risk of obesity and weight gain. The present chapter
reviews epidemiologic studies in adults and children and laboratory studies in young adults
indicating that sleep restriction results in metabolic and endocrine alterations, including decreased
glucose tolerance, decreased insulin sensitivity, increased evening concentrations of cortisol,
increased levels of ghrelin, decreased levels of leptin and increased hunger and appetite.
Altogether, the evidence points to a possible role of decreased sleep duration in the current
epidemic of obesity. Bedtime extension in short sleepers should be explored as a novel behavioral
intervention that may prevent weight gain or facilitate weight loss. Avoiding sleep deprivation
may help to prevent the development of obesity, particularly in children.
Hormones that Influence Glucose Regulation and Appetite Control Are
Influenced by Sleep
The temporal organization of the release of the counterregulatory hormones growth hormone
(GH) and cortisol as well as the release of hormones that play a major role in appetite
regulation, such as leptin and ghrelin, is partly dependent on sleep timing, duration and
quality. Glucose tolerance and insulin secretion are also markedly modulated by the sleep-
wake cycle [1]. Sleep propensity and sleep architecture are in turn controlled by the
interaction of two time-keeping mechanisms in the central nervous system, circadian
rhythmicity (i.e. intrinsic effects of biological time, irrespective of the sleep or wake state)
and sleep-wake homeostasis (i.e. a measure of the duration of prior wakefulness, irrespective
of time of day).
Circadian rhythmicity is an endogenous oscillation with a near 24-hour period generated in
the suprachiasmatic nuclei of the hypothalamus. The ability of the SCN nuclei to generate a
circadian signal is not dependent on cell-to-cell interaction and synchronization. Instead,
single SCN cells in culture can generate circadian neural signals [2]. The generation and
maintenance of circadian oscillations in SCN neurons involve a series of clock genes
(including at least per1, per 2, per3, cry1, cry2, tim, clock, B-mal1, CKIε/δ), often referred
to as ‘canonical’, which interact in a complex feedback loop of transcription/translation
Copyright © 2010 S. Karger AG, Basel
Eve Van Cauter, PhD Department of Medicine, MC1027 5841 S. Maryland Avenue Chicago, IL 60637 (USA) Tel. +1 773 702 0169,
Fax +1 773 702 7686, evcauter@medicine.bsd.uchicago.edu.
NIH Public Access
Author Manuscript
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Published in final edited form as:
Endocr Dev
. 2010 ; 17: 11–21. doi:10.1159/000262524.
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[3,4]. Circadian timing is transmitted to other areas of the brain and to the periphery via
direct neuronal connections with other parts of the hypothalamus, via the control of
sympathetic nervous activity and via hormonal signals, including melatonin. The molecular
and neuronal mechanisms that measure the duration of prior wakefulness and are thus
responsible for the homeo-static control of sleep have not been fully elucidated. Human
sleep is comprised of rapid-eye-movement (REM) sleep and non-REM sleep. Deep non-
REM sleep is characterized by ‘slow waves’ in the electroencephalogram (EEG), which
reflect a mode of synchronous firing of thalamo-cortical neurons. The intensity of non-REM
sleep may be quantified by slow wave activity (SWA; EEG spectral power in the 0.5–4 Hz
frequency range). Slow waves of larger amplitude and greater regularity are reflected in
higher SWA and in deeper sleep. Because SWA decreases in the course of the sleep period,
is higher after sleep deprivation (i.e. extended wakefulness) and lower when the waking
period has been interrupted by a long nap (i.e. shorter wakefulness), SWA is considered as
the major marker of homeostatic sleep pressure. Converging evidence implicates adenosine,
an inhibitory neurotransmitter, in sleep homeostasis in mammals [5]. Prolonged wakefulness
results in increased levels of extracellular adenosine, which partly derive from ATP
degradation, and adenosine levels decrease during sleep [6]. The adenosine receptor
antagonist, caffeine, inhibits SWA [7]. It has been proposed that the restoration of brain
energy during SWS involves the replenishment of glycogen stores [8]. The results of
experiments testing this hypothesis have been mixed. A recent and well-supported
hypothesis regarding sleep homeostasis is that the level of SWA in early sleep is a function
of the strength of cortical synapses developed during wakefulness and that the decline in
SWA across the sleep period reflects the downscaling of these synapses [9].
The major mechanisms by which the modulatory effects of circadian rhythmicity and sleep-
wake homeostasis are exerted on peripheral physiological systems include the modulation of
hypothalamic activating and inhibiting factors controlling the release of pituitary hormones
and the modulation of sympathetic and parasympathetic nervous activity.
The relative contributions of the circadian signal versus homeostatic sleep pressure vary
from endocrine axis to endocrine axis. It has been well-documented that GH is a hormone
essentially controlled by sleep-wake homeostasis. Indeed, in men, the most reproducible
pulse of GH occurs shortly after sleep onset, during slow wave sleep (SWS, stages 3 and 4)
when SWA is high. In both young and older men, there is a ‘dose-response’ relationship
between SWS and nocturnal GH release. When the sleep period is displaced, the major GH
pulse is also shifted and nocturnal GH release during sleep deprivation is minimal or frankly
absent. This impact of sleep pressure on GH is particularly clear in men but can also be
detected in women.
The 24-hour profile of cortisol is characterized by an early morning maximum, declining
levels throughout the daytime, a period of minimal levels in the evening and first part of the
night, also called the quiescent period, and an abrupt circadian rise during the later part of
the night. Manipulations of the sleep-wake cycle only minimally affect the wave shape of
the cortisol profile. Sleep onset is associated with a short-term inhibition of cortisol
secretion that may not be detectable when sleep is initiated in the morning, i.e. at the peak of
corticotropic activity. Awakenings (final as well as during the sleep period) consistently
induce a pulse in cortisol secretion. The cortisol rhythm is therefore primarily controlled by
circadian rhythmicity. Modest effects of sleep deprivation are clearly present as will be
shown below.
The 24-hour profiles of two hormones that play a major role in appetite regulation, leptin, a
satiety hormone secreted by the adipocytes, and ghrelin, a hunger hormone released
primarily from stomach cells, are also influenced by sleep. The human leptin profile is
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mainly dependent on meal intake and therefore shows a morning minimum and increasing
levels throughout the daytime culminating in a nocturnal maximum. Under continuous
enteral nutrition, a condition of constant caloric intake, a sleep-related elevation of leptin is
observed, irrespective of the timing of sleep. Ghrelin levels decrease rapidly after meal
ingestion and then increase in anticipation of the following meal. Both leptin and ghrelin
concentrations are higher during nocturnal sleep than during wakefulness. Despite the
absence of food intake, ghrelin levels decrease during the second part of the night suggesting
an inhibitory effect of sleep per se. At the same time, leptin is elevated, maybe to inhibit
hunger during the overnight fast.
The brain is almost entirely dependent on glucose for energy and is the major site of glucose
disposal. Thus, it is not surprising that major changes in brain activity, such as those
associated with sleep-wake and wake-sleep transitions, impact glucose tolerance. Cerebral
glucose utilization represents 50% of total body glucose disposal during fasting conditions
and 20–30% postprandially. During sleep, despite prolonged fasting, glucose levels remain
stable or fall only minimally, contrasting with a clear decrease during fasting in the waking
state. Thus, mechanisms operative during sleep must intervene to prevent glucose levels
from falling during the overnight fast. Experimental protocols involving intravenous glucose
infusion at a constant rate or continuous enteral nutrition during sleep have shown that
glucose tolerance deteriorates as the evening progresses, reaches a minimum around mid
sleep and then improves to return to morning levels [10,11]. During the first part of the
night, decreased glucose tolerance is due to decreased glucose utilization both by peripheral
tissues (resulting from muscle relaxation and rapid hyperglycemic effects of sleep-onset GH
secretion) and by the brain, as demonstrated by PET imaging studies that showed a 30–40%
reduction in glucose uptake during SWS relative to waking or REM sleep. During the
second part of the night, these effects subside as light non-REM sleep and REM sleep are
dominant, awakenings are more likely to occur, GH is no longer secreted and insulin
sensitivity increases, a delayed effect of low cortisol levels during the evening and early part
of the night.
These important modulatory effects of sleep on hormonal levels and glucose regulation
suggest that sleep loss may have adverse effects on endocrine function and metabolism. It is
only during the past decade that a substantial body of evidence has emerged to support this
hypothesis. Indeed, earlier work had only involved conditions of total sleep deprivation
which are necessarily short term and therefore of dubious long-term clinical implication.
The more recent focus on the highly prevalent condition of chronic partial sleep deprivation
resulted in a major re-evaluation of the importance of sleep for health, and particularly for
the risks of obesity and diabetes. In the two sections below, we first summarize the evidence
from epidemiologic studies and then the evidence from laboratory studies.
Obesity and Sleep Loss: Epidemiologic Evidence
The increasing prevalence of obesity in both children and adults is affecting all
industrialized countries. Figure 1 shows the change in the prevalence of overweight among
American children per age category (2–5, 6–11 and 12–19 years) from 1971 to 2004 [12].
The prevalence of overweight went from about 5% in 1971 to about 15% in 2004 in each
age category.
Increases in food intake and decreases in physical activity are the two most obvious reasons
for the alarming increase in prevalence of obesity but experts agree that other factors must
also be involved. Among those, reductions in sleep duration has been proposed to be one of
the most likely contributing factors [13]. Over the past few decades, nightly sleep duration
(by self-report) has decreased in a mirror image with the increase in the prevalence of
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obesity. In 2008, the poll conducted by the National Sleep Foundation [14] revealed that
American adults sleep on average 6 h 40 min during weekdays and 7 h 25 min during the
weekend. In contrast, in 1960, the average sleep duration was 8.5 h [15]. Thus, over less
than 50 years, a reduction of sleep duration by 1.5–2 h seems to have occurred. Short sleep
durations seems to be also typical in American adolescents. Well-documented laboratory
studies have shown that, when given a 10-hour opportunity to sleep for several days,
children between 10 and 17 years of age sleep for about 9 h, indicating that sleep need is not
less than 9 h [16]. In stark contrast with this physiologic sleep need are the sleep durations
self-reported by American children between 11 and 18 years old in 2006 [17]. Even in the
youngest children, the amount of sleep is less than 9 hours and drops to 7 h or less in 16- to
18-year-olds (fig. 2).
Is there an association between the prevalence of obesity and the prevalence of short sleep
duration? Cross-sectional studies have examined associations between sleep duration and
BMI in both children and adults and prospective studies have tested the hypothesis that short
sleep duration at baseline predicted weight gain or the incidence of obesity over the follow-
up period. All studies controlled for a variety of potential confounders. In adults, as of May
2009, a total of 29 cross-sectional studies and 6 prospective studies originating from a wide
variety of industrialized countries have been published. Thirty of these 35 studies had
positive findings. Obesity risk generally increased for sleep durations under 6 h. There have
been 20 cross-sectional studies in children and all had positive findings. Prospective studies
are particularly important because they provide an indication regarding the direction of
causality. Also, an overweight child is at higher risk of becoming an overweight or obese
adult. Table 1 summarizes the 7 prospective epidemiologic studies so far that have examined
sleep duration and obesity risk in boys and girls. All 7 studies showed a significant
association between short sleep duration at baseline and weight gain or incidence of
overweight or obesity over the follow-up period.
In conclusion, the epidemiologic data consistently support a link between short sleep and
obesity risk. Negative studies were mostly focusing on older adult populations. Of note, two
cross-sectional studies used objectively recorded sleep, rather than self-report, and also
found a significant association between short sleep and higher BMI. A major limitation of
nearly all these studies is that there was no assessment of sleep quality or sleep disorders and
therefore it is generally not known if short sleep was the result of bedtime restriction in a
healthy sleeper or of the inability to achieve more sleep in an individual suffering from a
sleep disorder.
Epidemiologic studies in adults have also shown associations between short sleep and
diabetes risk [25]. Studies are needed to determine if the increased prevalence of type 2
diabetes in children and young adults is also partly predicted by short sleep.
Obesity, Diabetes and Sleep Loss: Evidence from Laboratory Studies
There has been no laboratory study so far that has examined the impact of experimental
recurrent sleep restriction on hormones and metabolism in children. The existing laboratory
studies were all conducted in young to middle-aged adults.
The first well-controlled laboratory study that tested the hypothesis that partial sleep
deprivation could affect the metabolic and endocrine function was published 10 years ago
[26]. Young lean subjects were studied (1) after building a state of sleep debt by restricting
bedtime to 4 h for 6 nights, (2) after full recovery, obtained by extending the bedtime period
to 12 h for 7 nights, and (3) under normal condition of 8 h in bed. This latter 8-hour bedtime
condition was performed 1 year after the two other sleep conditions. Figure 3 shows the 24-
hour profiles of leptin, cortisol, GH and HOMA (homeostatic model assessment, an
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integrated measure of glucose and insulin, that is the product of glucose concentration
(mmol/l) by insulin concentration (mIU/l) divided by 22.5) under the 3 bedtime conditions
[26]. Caloric intake was the same in the 3 conditions, i.e. 3 identical carbohydrate-rich
meals. Posture and physical activity were also controlled as continuous bed rest was
enforced during blood sampling. Clearly, overall leptin levels, evening cortisol levels, and
the HOMA response to breakfast varied in a dose-response relationship with sleep duration.
Shorter sleep duration was associated with greater disturbances in these hormonal and
metabolic variables. Leptin levels were lowest when the subjects were in a state of sleep
debt, signaling the brain an unnecessary need for extra caloric intake. Evening cortisol levels
were highest when the subjects were in a state of sleep debt. A state of sleep debt therefore
appears to delay the normal return to low levels of corticotropic activity. HOMA levels post-
breakfast were the highest in a state of sleep debt indicating a decrease in glucose tolerance
and/or a decrease in insulin sensitivity. The 24-hour GH profiles in the 8- and 12-hour
bedtime conditions were qualitatively similar, with a trend for lower post-sleep peak values
in the extended bedtime that is consistent with a reduced homeostatic drive for sleep with
the decreased duration of the wake period. In the state of sleep debt, a GH pulse prior to
sleep onset was observed, in addition to the normal post-sleep onset GH pulse. The elevation
of GH concentrations during waking could have an adverse impact on glucose metabolism.
A subsequent study [27] examined appetite regulation after 2 nights of 4 h in bed and after 2
nights of 10 h in bed, in a randomized cross-over design. This study confirmed the decrease
in leptin levels seen in the previous study, with a 18% decrease of leptin levels after the
short nights relative to the long nights. Furthermore, ghrelin was assayed and showed a 28%
increase after the 2 nights of 4 h in bed. Questionnaires on hunger and appetite were
completed and indicated a 24% increase in hunger and a 23% increase in global appetite
after the 4-hour nights versus the 10-hour nights. Appetite for high carbohydrate nutrients
was the most affected with a 32% increase. Importantly, the subjective report of increased
hunger was correlated with the increase in ghrelin to leptin ratio (i.e. hunger factor/satiety
factor). These observations suggest that in real life, when food is available everywhere and
all the time, sleep deprived people may consume excessive amounts of calories, particularly
from carbohydrates. A recent study tested this hypothesis using a randomized cross-over
design with either extension or restriction of the usual bedtime period by 1.5 h for 2 weeks
in the laboratory [28]. The subjects were middle-aged overweighed individuals who were
exposed to unlimited amounts of palatable food presented in 3 meals per day and snacks
were continuously available. The volunteers consumed excessive amounts of calories from
meals under both sleep conditions but consumed more calories from snacks when sleep was
restricted rather than extended.
Several studies have also shown that recurrent partial sleep restriction or experimentally
reduced sleep quality results in decreased insulin resistance, another risk factor for weight
gain and obesity. Remarkably, the decrease in insulin sensitivity was not associated with a
compensatory increase in insulin release, and therefore diabetes risk was elevated.
The upper part of table 2 presents a re-analysis of the data from intravenous glucose
tolerance testing (ivGTT) performed in the initial ‘sleep debt study’ [26] after 5 days of
bedtime restriction to 4 h per night and when the subjects were fully rested at the end of the
recovery period. Glucose tolerance was decreased by more than 40% when the subjects were
in the state of sleep debt. This may be partly due to a decrease in brain glucose utilization as
Sg (glucose effectiveness) which quantifies non-insulin-dependent glucose disposal, was
significantly reduced. Insulin-dependent glucose disposal was also decreased since the
glucose disposition index was markedly lower. Consistent findings have been observed in
several follow-up studies [29,30].
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Recently, a study showed that reduced sleep quality, without change in sleep duration, can
also have adverse effects on glucose metabolism [31]. Slow-wave sleep was suppressed by
delivering acoustic stimuli that replaced deep sleep SWS by shallow NREM sleep (stage 2)
for 3 consecutive nights, mimicking the impact of four to five decades of aging. The lower
part of table 2 shows the results of an ivGTT performed at baseline and after 3 nights of
SWS suppression. The findings are qualitatively similar to those seen after 5 nights of
bedtime curtailment but of lesser magnitude as would be expected since the intervention was
of shorter duration.
Conclusions
Rapidly accumulating evidence suggests that sleep disturbances, including insufficient sleep
due to bedtime curtailment and poor sleep quality, may represent novel risk factors for
obesity and type 2 diabetes. While laboratory studies have been conducted in adults only, a
large number of epidemiologic studies in pediatric populations have demonstrated
associations between short sleep and adiposity that are often stronger than those seen in
adult populations. Sleep curtailment appears to be an increasingly prevalent behavior in
children and, in the United States, adolescents may well be the most sleep-deprived age
group with a difference between self-reported sleep and estimated sleep need of more than 2
h daily. There is a paucity of knowledge regarding how insufficient sleep and sleep disorders
may affect pubertal development and growth, despite the fact that it has been known for
several decades that the release of sex steroids and GH is markedly dependent on sleep
during the pubertal transition. An increasing number of children are obese and may suffer
from obstructive sleep apnea. The impact of this sleep disorder, which is known to promote
insulin resistance and reduced testosterone in adults, on neuroendocrine release and
metabolic function in children is in urgent need of rigorous study.
Acknowledgments
Part of the work described in this article was supported by US National Institute of Health grants P01 AG-11412,
R01 HL-075079, P60 DK-20595, R01 DK-0716960, R01 HL-075025 and M01 RR000055 and by US Department
of Defense award W81XWH-07–2-0071.
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Fig. 1.
Prevalence of overweight (>95th percentile) among American children and adolescents ages
2 to 19 years old from 1971 to 2004.
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Fig. 2.
Self-reported sleep duration in American adolescents in 2004.
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Fig. 3.
Relationship between sleep duration and leptin, cortisol, GH and HOMA.
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Table 1
Prospective studies of sleep (reported by the parents) and obesity risk in boys and girls.
Reference Number of subjects and years of follow-up Results Country of origin
Lumeng et al. [18],
2007 n = 785
aged 9–10 years (3rd grade) and 11–12 years
(6th grade)
short sleep duration in 3rd grade is
associated with overweight in 6th grade USA
Agras et al. [19], 2004 n = 150
sleep reported at 3-5 years weight measured at
9.5 years
less sleep time in childhood is a risk factor
for childhood overweight USA
Reilly et al. [20], 2005 n = 7,758
sleep reported at 38 months obesity measured
at 7 years
short sleep duration (<10.5 h) at age 3 years
is associated with a risk of obesity UK
Taveras et al. [21],
2008 n = 915
sleep reported at 6 months, 1 year and 2 years
BMI z score measured at 3 years
short sleep duration (<12 h/day) during
infancy is associated with a higher BMI z
score at 3 years
USA
Touchette et al. [22],
2008 n = 1,138
sleep duration reported yearly from 2.5 to 6
years BMI measured at 2.5 and 6 years
persistent short sleepers (<10 h) increases
risk of overweight and obesity in later
childhood
Canada
Sugimori et al. [23],
2004 n = 8,170
sleep and BMI measured at ages 3 and 6 years short sleep duration (9 h) is associated with
a risk of obesity in boys, not in girls Japan
Snell et al. [24], 2007 n = 2,281
aged 3–12 years at baseline and 5 years later less sleep is associated with higher BMI, 5
years later USA
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Table 2
Alterations in glucose metabolism after sleep loss: 2 laboratory studies
p % change from well-rested condition
5 nights of 4-hour bedtimes (n = 11)
Glucose tolerance (% · min-1)≤0.003 –43 ± 12
Acute insulin response to glucose (μU · ml-1 · min) ≤0.03 –27 ±10
Glucose effectiveness ≤0.05 –25 ± 19
Insulin sensitivity, 104 min-1 (μU/ml)-1 ≤0.04 –24 ± 9
Disposition index 0.004 –50 ± 6
3 nights of slow-wave sleep suppression (n = 9)
Glucose tolerance, % · min-1 ≤0.03 –23 ± 9
Acute insulin response to glucose, μU · ml-1 · min ≤0.73 +11 ± 11
Glucose effectiveness ≤0.19 –15 ± 10
Insulin sensitivity, 104 min-1 (μU/ml)-1 ≤0.009 –25 ± 8
Disposition index ≤0.02 –20 ± 7
Endocr Dev. Author manuscript; available in PMC 2011 March 28.
... Sleep deprivation is responsible for an imbalance in the hormones that regulate appetite, such as leptin and ghrelin (7,38). This disruption in the balance of these metabolic hormones contributes to overeating and an increased BMI (39). ...
... Furthermore, PA increases energy expenditure compared to one's basal metabolism, which leads to a higher need for sleep recovery (23) and improvements in body composition (1,48). By influencing sleep quality and duration, PA may also help restore the balance of leptin, ghrelin, and cortisol, ultimately contributing to changes in body composition (7,38). ...
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Inadequate sleep quality is a significant risk factor for overweight and obesity, which in turn may predispose individuals to adverse health outcomes. The aim of the present study was to evaluate the moderating effect of physical activity on the relationship between sleep quality and BMI in adults with overweight and obesity. In the current cross-sectional study, 589 white European participants (mean age 50 ± 12.2 years; 65% women; mean BMI 31.4 ± 5.5 kg/m ² ) were recruited from the International Center for the Assessment of Nutritional Status in Italy between October 2021 and July 2022. They completed the Godin–Shephard Leisure Time Physical Activity Questionnaire and the Pittsburgh Sleep Quality Index. The significant moderation model analysis performed on the entire sample [ F ( 3, 585 ) = 4.4, p = 0.0045, r = 0.15, r ² = 0.02] found a statistically significant association between sleep quality and BMI ( β = −0.16, p = 0.05), between physical activity and BMI ( β = −0.08, p = 0.0018), and between the interaction of sleep quality and physical activity and BMI ( β = 0.01, p = 0.01), particularly for physical activity values equal or higher than 49 Leisure Score Index ( p = 0.004). The moderation analysis revealed a significant effect of physical activity on the relationship between sleep quality and BMI; better sleep quality was associated with lower BMI in individuals with higher levels of physical activity. The present findings suggest new aspects relating to the effect of physical activity in the relationship between sleep quality and overweight/obesity. Therefore, focusing on maintaining adequate levels of physical activity may represent an effective complementary strategy.
... It is a settled issue that is associated with not having poor sleep patterns and increases the possibility of childhood obesity [83][84][85]. Those children who have poor quality and quantity of sleep raise the likelihood of metabolic and endocrine deviations [86], including, e.g., "decreased insulin sensitivity, decreased glucose tolerance, increased evening concentrations of cortisol, increased levels of ghrelin, decreased levels of leptin and increased hunger and appetite" [87] that trigger obesity [88,89]. Another study revealed that poor sleep patterns among children promote stress, impulsivity, unhappiness, nervousness, hostile behavior, and irrational thinking processes [90]. ...
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Obesity among children has emerged as a worldwide health issue due to childhood obesity becoming a pandemic, and it is often linked to various illnesses, fatal outcomes, and disability in adulthood. Obesity has become an epidemic issue in both developed and developing countries, particularly among youngsters. The most common factors contributing to non-communicable diseases (NCDs) are unhealthy eating habits, deskbound games, avoidance of physical activity-requiring activities, smoking, alcohol usage, and other added items. All these factors increase NCDs, including obesity, resulting in various morbidities and early death. Additionally, childhood obesity has psychological, emotional, cognitive, societal, and communicative effects. For example, it raises the possibility of issues related to physical appearance, self-esteem, confidence level, feelings of isolation, social disengagement, stigma, depression, and a sense of inequality. Children who consume more energy-dense, high-fat, low-fiber-containing food than they need usually store the excess as body fat. Standardizing indicators and terminology for obesity-related metrics is critical for better understanding the comparability of obesity prevalence and program effectiveness within and between countries. The underlying variables must be altered to reduce or avoid harm to the target organ in children. As a result, reducing childhood obesity is a considerable public health goal for the benefit of society and the long-term well-being of individuals.
... The study found that sleep influences various physiological factors, including glucose metabolism (VanHelder et al., 1993), energy metabolism (Penev, 2007), hormone secretion (Leproult and Van Cauter, 2010), and immune function (Santos et al., 2007). The deterioration in skill control motor performance following sleep deprivation is closely linked to impairments in executive functions, including working memory, inhibitory control, and cognitive flexibility (Cheng et al., 2021). ...
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Background Sleep deprivation can significantly affect sports performance and the perception of fatigue. However, the impact of sleep deprivation on sports performance remains a subject of ongoing debate across different populations. Objectives This study aimed to investigate the effects of sleep deprivation on sports performance and ratings of perceived exertion (RPE) in different groups, as well as how different types of sleep deprivation affect these aspects. Methods This systematic review followed the PRISMA guidelines (PROSPERO CRD42023492792). Randomized controlled trials (RCTs) and randomized crossover studies published in any language or up to any date were eligible based on the P.I.C.O.S. criteria. The systematic search included databases such as PubMed, Cochrane, Embase, Web of Science, and EBSCO, covering studies up to September 2024. The Cochrane RoB 2 tool was used to assess the risk of bias. Meta-analysis was conducted using either a fixed-effect model or a random-effects model. This study conducted subgroup analyses based on different populations, types of sleep deprivation, and testing times. Results This review includes 45 studies, comprising 16 on aerobic endurance (AE) performance, 8 on anaerobic endurance (AnE) performance, 23 on explosive power (EP), 10 on maximum force (MF), 4 on speed, 4 on skill control, and 12 on rating of perceived exertion (RPE). The results indicate that sleep deprivation significantly impaired AE in athletes [SMD = −0.66; 95% CI (−1.28, −0.04); P = 0.04], as well as EP [SMD = −0.63; 95% CI (−0.94, −0.33); P < 0.00001], MF [SMD = −0.35; 95% CI (−0.56, −0.14); P = 0.001], speed [SMD = −0.52, 95% CI (−0.83, −0.22); P = 0.0008], skill control [SMD = −0.87; 95% CI (−1.7, −0.04); P = 0.04], and RPE [SMD = 0.39; 95% CI (0.11, 0.66); P = 0.006]. Additionally, AE was also reduced in healthy non-athletes [SMD = −1.02; 95% CI (−1.84, −0.21); P = 0.01]. During the sleep deprivation process, early sleep deprivation (PSDE) significantly reduced EP [SMD = −1.04; 95% CI (−1.58, −0.5); P = 0.0002], MF [SMD = −0.57; 95% CI (−0.94, −0.19); P = 0.003], speed [SMD = −0.78; 95% CI (−1.35, −0.2); P = 0.008], and RPE [SMD = 0.6; 95% CI (0.17, 1.02); P = 0.006]. Late sleep deprivation (PSDB) impacted speed [SMD = −0.57; 95% CI (−1.15, 0.01); P = 0.05], skill control [SMD = −2.12; 95% CI (−3.01, −1.24); P < 0.00001], and RPE [SMD = 0.47; 95% CI (0.02, 0.92); P = 0.04]. Overall, total sleep deprivation primarily affected AE [SMD = −0.56; 95% CI (−1.08, −0.05); P = 0.03]. In terms of testing phases, p.m. tests had a significant impact on AE [SMD = −1.4; 95% CI (−2.47, −0.34); P = 0.01], EP [SMD = −0.68; 95% CI (−1.06, −0.31); P = 0.0004], MF [SMD = −0.3; 95% CI (−0.51, −0.09); P = 0.005], skill control [SMD = −2.12; 95% CI (−3.01, −1.24); P < 0.00001], and RPE [SMD = 0.72; 95% CI (0.20, 1.24); P = 0.007]. In contrast, a.m. tests primarily affected speed [SMD = −0.81; 95% CI (−1.52, −0.1); P = 0.03] and RPE [SMD = 0.44; 95% CI (0.01, 0.86); P = 0.04]. Conclusion Sleep deprivation significantly impairs athletes' performance across various domains, including AE, MF, speed, and skill control, while also exacerbating RPE. In contrast, although sleep deprivation also negatively affects the AE of healthy non-athletes. Furthermore, PSDE appears to have a more pronounced effect on sports performance overall. Additionally, performance assessments conducted in the p.m. have been shown to further impact sports performance. These findings are crucial for understanding how sleep deprivation impacts both athletes and non-athletes, particularly in the context of training and competitive settings.
... Meeting this recommendation is associated with higher levels of attention, cognition, physical health, and emotional regulation among young people [6]. Although sufficient sleep quality is necessary for it to be restorative, the prevalence of sleep disorders in adolescents is increasingly evident [7], being linked to social, emotional, and behavioral difficulties [8], as well as academic performance issues [9] or even imbalances in the regulation of metabolism [10]. In view of the above, it is important to consider various aspects that are linked to sleeprelated problems such as insomnia, daytime sleepiness, and movements during sleep [11], along with sleep regularity and respiratory sleep disorders [12]. ...
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Physical fitness, particularly cardiorespiratory fitness, has been shown to positively impact sleep quality. However, the relationship between overall physical fitness and sleep‐related problems in adolescents remains underexplored. Therefore, the aim of this study was to analyze the association between overall physical fitness and sleep‐related problems in adolescents. This cross‐sectional study included 812 adolescents (median age: 14 years [interquartile range = 12–17]; 54.9% girls) from the Eating Healthy and Daily Life Activities (EHDLA) data. Physical fitness was measured objectively using the Assessing the Levels of PHysical Activity and fitness (ALPHA‐Fit) battery for children and adolescents and a flexibility test, while sleep‐related problems were evaluated using the BEARS sleep screening tool (B = Bedtime problems, E = Excessive daytime sleepiness, A = Awakenings during the night, R = Regularity and duration of sleep, S = Snoring). Generalized linear models were used to examine the association of overall physical fitness with the different components of sleep‐related problems. The odds of experiencing sleep‐related problems decreased significantly with each kilogram increase in handgrip strength (odds ratio [OR] = 0.97, 95% confidence interval [CI] 0.94–0.99), and with each standard deviation increase in overall physical fitness (OR = 0.76, 95% CI 0.59–0.99). In contrast, despite not statistically significant, an increase in long jump appeared to reduce the sleep‐related problems (OR = 0.91; 95% CI 0.82–1.02), while a longer time in the 4×10‐m shuttle run test might increase sleep problems (OR = 1.12; 95% CI 0.98–1.28). In conclusion, greater levels of physical fitness, particularly muscular strength, may be key for reducing sleep‐related problems, emphasizing the importance of personalized training programs.
... Seja em adultos, jovens ou crianças, a privação de sono exerce forte impacto sobre as alterações do comportamento alimentar, com consequente aumento da ingestão de alimentos, elevação de peso e desenvolvimento de doenças crônicas, em especial diabetes mellitus II (CRISPIM et al., 2007a;CRISPIM et al., 2007b;VAN CAUTER, 2010;SPIEGEL et al., 2009). ...
Article
Considera-se importante marcador biológico o ritmo circadiano associado às características do estilo de vida e saúde. A privação de sono relaciona-se com alterações no metabolismo glicídico, possibilitando o desenvolvimento de patologias de ordem crônica, especialmente diabetes mellitus II. O objetivo do presente estudo foi identificar a relevância e consequências da deficiência de sono sobre o metabolismo glicídico. Para tal, utilizaram-se trabalhos publicados entre os anos 1990 e 2013 para compor a revisão, indexados nas bases de dados Medline, Lilacs e Scielo. Várias são as alterações evidenciadas no metabolismo glicídico decorrentes da privação de sono, que culminam no desenvolvimento de diabetes mellitus II. Verifica-se a necessidade de conscientização da população em relação à importância do período do sono com a finalidade de evitar a ocorrência de desequilíbrios metabólicos que envolvem o desenvolvimento de patologias, tais como a diabetes mellitus II, e, dessa forma, salvaguardar a saúde do organismo como um todo.
... Furthermore, menopause could reduce sleep quality, ultimately affecting the quality of life [5]. Sleep restriction can have deleterious effect in cognition, hormones, mood, immune, and cardiovascular system [6,7]. ...
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Objective Menopause is a significant period in a woman’s life that can be natural or surgical. We aimed to assess the association between the type of menopause and sleep quality, especially in elderly women. Method This was a cross-sectional study using data from the first phase of the Ardakan Cohort Study on Ageing (ACSA) of 50 and above years of menopausal women, distributed into two groups of natural and surgical menopause. Three questionnaires were used to assess sleep quality, including Pittsburgh Sleep Quality Index (PSQI), Berlin questionnaire, and Epworth Sleepiness Scale. Multiple regression models were used to assess the association between the type of menopause and sleep quality. P-value less than 0.05 was considered significant. Results In total, 2,532 menopausal and postmenopausal women were included in the study, of which 669 (26.4%) had surgical menopause. The mean of the PSQI score for participants with surgical menopause was 9.29±4.30 compared to 8.78±4.10 for participants with natural menopause (P-value = 0.001). 37.1% of participants with natural menopause had sleep-disordered breathing according to the Berlin questionnaire despite 43.9% among participants with surgical menopause (P-value = 0.007). The multivariable regression models showed that surgical menopause was not significantly associated with the PSQI score differences, Epworth score, or Berlin score compared to natural menopause (OR:0.89, 1.13, and 0.85; CI 95%: 0.13–1.19, 0.68–1.86, and 0.68–1.07 respectively). Conclusion The findings suggest that the type of menopause is not associated with sleep quality. However, further studies employing objective sleep assessments are necessary to validate these results and guide clinicians and individuals in refraining from prioritizing the type of menopause as a significant risk factor for poor sleep quality.
... Those who sleep more on weekdays show a reduced likelihood of being underweight, emphasizing a complex interaction between obesity, lifestyle behaviors, and sleep duration. Regular sleep patterns are crucial for maintaining hormonal balance, specifically the hunger and satiety hormones leptin and ghrelin (Leproult & Van Cauter, 2010). Leptin decreases appetite, whereas ghrelin increases it; both can be adversely affected by irregular sleep patterns (Münzberg & Morrison, 2015). ...
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This study examined the impact of Catch-Up Sleep Ratio (CSR) on health outcomes in Korean adults. Adjusted for age and gender, 2,484 participants were categorized into three groups: Weekday (CSR <1.0), Average (1.0 ≤ CSR < 1.5), and Weekend (1.5 ≤ CSR). Weekday participants were less likely to meet WHO's moderate physical activity guidelines (OR = 0.79, p < .05), walk 4-6 days per week (OR = 0.70, p < .05), or engage in prolonged sedentary behavior (OR = 0.60, p < .001). The Weekend group exhibited higher odds of obesity (OR = 1.96, p < .01), increased stress (OR = 1.78, p < .001), and perceived themselves as more obese (OR = 1.32, p < .01) while showing lower rates of low HDL cholesterol (OR = 0.66, p < .01). These findings suggest that CSR could significantly impact health behaviors and outcomes.
... This, in turn, affects overall CR and the ability to be active and eat during the natural night [13]. Numerous studies on sleep and obesity in adults and children conducted in different regions indicate an association between short sleep (generally fewer than 6 h a night) and obesity [14][15][16][17]. A meta-analysis showed that for each additional hour of sleep, body mass index (BMI) decreased by 0.35 kg/m 2 [18]. ...
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Background Obesity is a global issue, with over 1.9 billion adults overweight. Disruption of circadian rhythms (CR) leads to obesity and metabolic disorders. Dietary nutrition significantly impacts sleep disorders and disruption in CR, influencing hormones and inflammation, which can contribute to insomnia. The dietary insulin index (DII) and dietary insulin load (DIL) are important factors in determining sleep quality. The current study aims to investigate the association between DII and DIL with CR and sleep quality among with overweight and obesity women. Methods A case-control study involved 280 overweight/obese women aged 25–40 from Tehran University Medical Science. They were assessed for dietary intake, physical activity, and sleep using validated questionnaires. The study also assessed body composition, bioelectrical impedance analysis, biochemical components, anthropometric components, and blood pressure. Socio-demographic and lifestyle characteristics, such as age, educational level, physical activity, and smoking habits, were also assessed through questionnaires. Result In the crude and adjustment models, high adherence of DII compared with lower adherence increased the odds of poor sleep quality index among participants. This significant association remained even after adjustment for confounding variables (P < 0.05), such that the odds of poor sleep quality index was 1.92 times higher. Conclusion This study showed high adherence to DII and DIL may cause CR disruption. Furthermore, higher adherence to DII lead to poor sleep quality in women.
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Sleep is not the mere absence of wakefulness, but an active state which is finely regulated. The homeostatic facet of sleep-wake regulation is keeping track of changes in 'sleep propensity' (or 'sleep need'), which increases during wakefulness and decreases during sleep. Increased sleep propensity following extended prior wakefulness (sleep deprivation) is counteracted by prolonged sleep duration, but also by enhanced non-rapid-eye-movement (nonREM) sleep intensity as measured by electroencephalographic (EEG) slow-wave activity (SWA, power within approximately 1-4 Hz). This highly reliable regulatory feature of nonREM sleep may be the most important aspect of sleep in relation to its function. The neurochemical mechanisms underlying nonREM sleep homeostasis are poorly understood. Here we provide compelling and convergent evidence that adenosinergic neurotransmission plays a role in nonREM sleep homeostasis in humans. Specifically, a functional polymorphism in the adenosine metabolizing enzyme, adenosine deaminase, contributes to the high inter-individual variability in deep slow-wave sleep duration and intensity. Moreover, the adenosine receptor antagonist, caffeine, potently attenuates the EEG markers of nonREM sleep homeostasis during sleep, as well as during wakefulness. Finally, adenosinergic mechanisms modulate individual vulnerability to the detrimental effects of sleep deprivation on neurobehavioral performance, and EEG indices of disturbed sleep after caffeine consumption. While these convergent findings strongly support an important contribution of adenosine and adenosine receptors to nonREM sleep homeostasis, further research is needed to elucidate the underlying mechanisms that mediate the actions of adenosine on sleep and the sleep EEG.
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Short sleep is associated with obesity and may alter the endocrine regulation of hunger and appetite. We tested the hypothesis that the curtailment of human sleep could promote excessive energy intake. Eleven healthy volunteers [5 women, 6 men; mean +/- SD age: 39 +/- 5 y; mean +/- SD body mass index (in kg/m(2)): 26.5 +/- 1.5] completed in random order two 14-d stays in a sleep laboratory with ad libitum access to palatable food and 5.5-h or 8.5-h bedtimes. The primary endpoints were calories from meals and snacks consumed during each bedtime condition. Additional measures included total energy expenditure and 24-h profiles of serum leptin and ghrelin. Sleep was reduced by 122 +/- 25 min per night during the 5.5-h bedtime condition. Although meal intake remained similar (P = 0.51), sleep restriction was accompanied by increased consumption of calories from snacks (1087 +/- 541 compared with 866 +/- 365 kcal/d; P = 0.026), with higher carbohydrate content (65% compared with 61%; P = 0.04), particularly during the period from 1900 to 0700. These changes were not associated with a significant increase in energy expenditure (2526 +/- 537 and 2390 +/- 369 kcal/d during the 5.5-h and 8.5-h bedtime periods, respectively; P = 0.58), and we found no significant differences in serum leptin and ghrelin between the 2 sleep conditions. Recurrent bedtime restriction can modify the amount, composition, and distribution of human food intake, and sleeping short hours in an obesity-promoting environment may facilitate the excessive consumption of energy from snacks but not meals.
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To investigate whether longitudinal sleep duration patterns during early childhood is a risk factor of overweight or obesity at school entry while controlling for a variety of obesogenic environmental factors. This is a prospective cohort study (March-December 1998 to December 2004) of a representative sample of infants born in 1997-1998 in the Canadian province of Quebec. Body mass index (BMI) was measured at ages 2.5 and 6 years. Sleep duration was reported yearly from 2.5 to 6 years of age by their mothers. Prenatal, postnatal (5 and 29 months), and lifestyle (6 y) potentially confounding factors for excess weight were assessed by interviews, questionnaires and hospital records. A group-based semiparametric mixture model was used to estimate developmental patterns of sleep duration. The relationship between sleep duration patterns and BMI was tested using multivariate logistic regression models to control for potentially confounding factors on 1138 children. Four sleep duration patterns were identified: short persistent (5.2%), short increasing (4.7%), 10-hour persistent (50.7%), and 11-hour persistent (39.4%). After controlling for potentially confounding factors, the risk for overweight or obesity was almost 4.2 times higher for short persistent sleepers (odds ratio [OR], 4.2; 95% confidence interval [CI], 1.6 to 11.1; P = 0.003) than for 11-hour persistent sleepers. Persistently short sleep duration (<10 h) during early childhood significantly increases the risk of excess weight or obesity in childhood, and appears to be independent of other obesogenic factors.
Article
Both subjective and electroencephalographic arousal diminish as a function of the duration of prior wakefulness. Data reported here suggest that the major criteria for a neural sleep factor mediating the somnogenic effects of prolonged wakefulness are satisfied by adenosine, a neuromodulator whose extracellular concentration increases with brain metabolism and which, in vitro, inhibits basal forebrain cholinergic neurons. In vivo microdialysis measurements in freely behaving cats showed that adenosine extracellular concentrations in the basal forebrain cholinergic region increased during spontaneous wakefulness as contrasted with slow wave sleep; exhibited progressive increases during sustained, prolonged wakefulness; and declined slowly during recovery sleep. Furthermore, the sleep-wakefulness profile occurring after prolonged wakefulness was mimicked by increased extracellular adenosine induced by microdialysis perfusion of an adenosine transport inhibitor in the cholinergic basal forebrain but not by perfusion in a control noncholinergic region.
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Leptin levels were stable across the daytime period under both sleep conditions, which was consistent with the fact that calories were exclusively delivered in the form of a constant glucose infusion. Average total sleep time was 9 hours and 8 minutes when the men spent 10 hours in bed and 3 hours and 53 minutes when the men spent 4 hours in bed (P < 0.01). When spending 4 hours in bed, the participants had mean leptin levels that were 18% lower (2.1 ng/mL vs. 2.6 ng/mL; P = 0.04) (Figure 1, part A) and mean ghrelin levels that were 28% higher (3.3 ng/mL vs. 2.6 ng/mL; P = 0.04) (Figure 1, part B) than when the participants spent 10 hours in bed. The ratio of the concentrations of orexigenic ghrelin to anorexigenic leptin increased by 71% (CI, 7% to 135%) with 4 hours in bed compared with 10 hours in bed. Sleep restriction relative to sleep extension was associated with a 24% increase in hunger ratings on the 10-cm visual analogue scale (P < 0.01) and a 23% increase in appetite ratings for all food categories combined (P = 0.01) (Figure 1, parts C and D, and Table 1). The increase in appetite tended to be greatest for calorie-dense foods with high carbohydrate content (sweets, salty foods, and starchy foods: increase, 33% to 45%; P = 0.06) (Table 1). The increase in appetite for fruits and vegetables was less consistent and of lesser magnitude (increase, 17% to 21%) (Table 1). Appetite for protein-rich nutrients (meat, poultry, fish, eggs, and dairy foods) was not significantly affected by sleep duration (Table 1). When we considered the changes in ghrelin and leptin in an integrated fashion by calculating the ghrelin-to-leptin ratio, the increase in hunger was proportional to the increase in ghrelin-to-leptin ratio (r = 0.87) (Figure 2). Almost 70% of the variance in increased hunger could be accounted for by the increase in the ghrelin-to-leptin ratio.
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Prospective epidemiologic data of the American Cancer Society disclosed that reported usual sleep durations among groups who complained of insomnia and sleeping pill use "often" overlapped with those of groups who had no complaints. Reports of insomnia were not consistently associated with increased mortality when several factors were controlled; however, men who reported usually sleeping less than four hours were 2.80 times as likely to have died within six years as men who reported 7.0 to 7.9 hours of sleep. The ratio for women was 1.48. Men and women who reported sleeping ten hours or more had about 1.8 times the mortality of those who reported 7.0 to 7.9 hours of sleep. Those who reported using sleeping pills "often" had 1.5 times the mortality of those who "never" used sleeping pills. These results do not prove that mortality could be reduced by altering sleep durations or by reducing hypnotic prescribing. Rather, studies are needed to determine the causes of these mortality risk factors.