Article

Household food insecurity and obesity risk in preschool-aged children: A three-year prospective study

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  • university of minnesota
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Abstract

Background Household food insecurity (FI) is a pressing social, economic and public health issue. However, little is known regarding the effect of FI exposure during the first few years of life, the most active postnatal time for neurobiological and physiological development, on patterns of weight gain during early childhood. It is also unknown whether dietary quality would serve as a pathway through which FI affects children's weight development. Method This was a secondary data analysis from a three-year randomized clinical trial with five hundred and thirty-four parent/child dyads. Household FI in the past year was reported by parents at baseline when children were 2–4 years of age using the USDA Household Food Security Survey Module-Six Item Short Form. Children's dietary quality at baseline was measured by the US Department of Agriculture Healthy Eating Index (HEI). Child body mass index (BMI) was measured following standardized protocols at baseline and 12-, 24-, and 36-month follow-up. A latent growth curve model was used to examine 1) the association between baseline FI and sex-and-age-adjusted BMI z-scores in children and 2) the HEI pathway between the FI- BMI association. Results FI early in life was associated with higher baseline BMI z-scores. Children who had higher BMI at baseline maintained their higher BMI status over the next three years. Children's dietary intake quality did not explain the association between baseline FI and BMI z-scores. Conclusion Early exposure to FI was associated with higher BMI in children as early as two years of age, setting them up for an increased likelihood of persistently high BMI-for-age in later childhood. These data suggest that the first few years may be a critical time for developing obesity risk, calling for policy and practices designed for early intervention of food insecurity.

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... As caregivers cite access to healthy foods, their cost, and time limitations as factors preventing them from serving nutritious meals [57][58][59][60][61], food delivery as a means of improving caregiver practices is a compelling intervention. Provision of boxes of produce along with grocery gift cards resulted in a mean increase in healthy foods eaten by children which was sustained after the study ended [101]. ...
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A quarter of US children are at increased risk of obesity-related health problems because of excess weight. The few national studies of child overweight and inadequate household resources available to purchase healthy foods, or food insecurity, have shown inconsistent results. We hypothesized that the inconsistency in these results may be attributed to a differential effect of participation in food assistance programs in food secure and food insecure households. Using the 1997 Panel Study of Income Dynamics Child Development Supplement, we compared the risk of a child aged 5 to 12 years being at or above the 85th percentile of body mass index for age in food insecure and food secure, low-income households when controlling for participation in the Food Stamp Program and the national school lunch and breakfast programs as well as other covariates. We found that food insecure girls who participated in all 3 programs had a 68% reduced odds (odds ratio, 0.32; 95% confidence interval, 0.12-0.77) of being at risk of overweight when compared with food insecure girls in nonparticipating households and controlling for other factors. Girls in food secure households generally had no greater or less risk of overweight if they participated in any or all programs. Boys in both food insecure and food secure households had no greater or less risk of overweight by if they participated in any or all of the programs. These results support our hypothesis that food assistance programs play a protective role for low-income children's health, particularly in girls in food insecure households.
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The adiposity rebound is the second rise in body mass index that occurs between 3 and 7 years. An early age at adiposity rebound is known to be a risk factor for later obesity. The aim here is to clarify the connection between the age at rebound and the corresponding pattern of body mass index change, in centile terms, so as to better understand its ability to predict later fatness. Longitudinal changes in body mass index during adiposity rebound, measured both in original (kg/m2) and standard deviation (SD) score units, are studied in five hypothetical subjects. Two aspects of the body mass index curve, the body mass index centile and the rate of body mass index centile crossing, determine a child's age at rebound. A high centile and upward centile crossing are both associated separately with an early rebound, while a low centile and/or downward centile crossing correspond to a late rebound. Early adiposity rebound is a risk factor for later fatness because it identifies children whose body mass index centile is high and/or crossing upwards. Such children are likely to have a raised body mass index later in childhood and adulthood. This is an example of Peto's "horse racing effect". The association of centile crossing with later obesity is statistical not physiological, and it applies at all ages not just at rebound, so adiposity rebound cannot be considered a critical period for future obesity. Body mass index centile crossing is a more direct indicator of the underlying drive to fatness. An early age at adiposity rebound predicts later fatness because it identifies children whose body mass index centile is high and/or crossing upwards. Such children are likely to have a raised body mass index later. Body mass index centile crossing is more direct than the timing of adiposity rebound for predicting later fatness.
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Disparities in childhood obesity highlight the need for research to identify its early predictors in high-risk populations, such as low-income, Latino families. In the current study, the first of its kind in a low-income Latino sample (N = 55; Mchild age = 12.74 months, SD = 3.96), we investigated whether mothers’ self-reported attachment style predicted their infants’ weight-for-length (WFL; an early indicator of childhood obesity). We also explored whether observed maternal sensitivity, coded from a video-recorded semi-structured play assessment, mediated this association. We found a significant direct effect of maternal attachment style on infants’ WFL z-scores (c’ = −0.68, SE = 0.22, p = .004). Infants of mothers who classified themselves as secure had lower WFL z-scores than infants of insecure mothers (avoidant or anxious). Maternal sensitivity did not mediate this association, but was positively associated with infant WFL z-scores. We discuss implications of these findings for future research.
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Objective: To evaluate obesity-related costs and body mass index (BMI) as a cost predictor among privately insured employees by industry. Methods: Individuals with/without obesity were identified using the Optum Health Reporting and Insights employer claims database (1/2010-3/2017). Direct/indirect costs were reported per-patient-per-year (PPPY). Multivariate models were used to estimate the association between obesity and high costs (≥80th percentile) by industry. Results: Overall (N = 86,221), direct and absenteeism/disability cost differences between class I obesity (BMI 30.0-34.9) and reference were 1,775and1,775 and 617 PPPY, respectively (P < 0.05). Among employees with obesity (BMI≥30), highest total costs were observed in the government/education/religious services, food/entertainment services, and technology industries. Class I obesity increased the odds of high costs (≥80th percentile) within each industry (odds ratios vs reference = 1.09-5.17). Conclusions: Obesity (BMI≥30) was associated with high costs among employees of major US industries.
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OBJECTIVES Adult obesity is linked to asthma cases and is estimated to lead to 250 000 new cases yearly. Similar incidence and attributable risk (AR) estimates have not been developed for children. We sought to describe the relationship between overweight and obesity and incident asthma in childhood and quantify AR statistics in the United States for overweight and obesity on pediatric asthma. METHODS The PEDSnet clinical data research network was used to conduct a retrospective cohort study (January 2009–December 2015) to compare asthma incidence among overweight and/or obese versus healthy weight 2- to 17-year-old children. Asthma incidence was defined as ≥2 encounters with a diagnosis of asthma and ≥1 asthma controller prescription. Stricter diagnostic criteria involved confirmation by spirometry. We used multivariable Poisson regression analyses to estimate incident asthma rates and risk ratios and accepted formulas for ARs. RESULTS Data from 507 496 children and 19 581 972 encounters were included. The mean participant observation period was 4 years. The adjusted risk for incident asthma was increased among children who were overweight (relative risk [RR]: 1.17; 95% confidence interval [CI]: 1.10–1.25) and obese (RR: 1.26; 95% CI: 1.18–1.34). The adjusted risk for spirometry-confirmed asthma was increased among children with obesity (RR: 1.29; 95% CI: 1.16–1.42). An estimated 23% to 27% of new asthma cases in children with obesity is directly attributable to obesity. In the absence of overweight and obesity, 10% of all cases of asthma would be avoided. CONCLUSIONS Obesity is a major preventable risk factor for pediatric asthma.
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Objectives: To evaluate a multicomponent obesity prevention intervention among diverse, low-income preschoolers. Methods: Parent-child dyads (n = 534) were randomized to the Now Everybody Together for Amazing and Healthful Kids (NET-Works) intervention or usual care in Minneapolis, MN (2012-2017). The intervention consisted of home visits, parenting classes, and telephone check-ins. The primary outcomes were adjusted 24- and 36-month body mass index (BMI). Results: Compared with usual care, the NET-Works intervention showed no significant difference in BMI change at 24 (-0.12 kg/m2; 95% confidence interval [CI] = -0.44, 0.19) or 36 months (-0.19 kg/m2; 95% CI = -0.64, 0.26). Energy intake was significantly lower in the NET-Works group at 24 (-90 kcal/day; 95% CI = -164, -16) and 36 months (-101 kcal/day; 95% CI = -164, -37). Television viewing was significantly lower in the NET-Works group at 24 (rate ratio = 0.84; 95% CI = 0.75, 0.93) and 36 months (rate ratio = 0.88; 95% CI = 0.78, 0.99). Children with baseline overweight or obesity had lower BMI in the NET-Works group than those in usual care at 36 months (-0.71 kg/m2; 95% CI = -1.30, -0.12). Hispanic children had lower BMI in the NET-Works group than those in usual care at 36 months (-0.59 kg/m2; 95% CI = -1.14, -0.04). Conclusions: In secondary analyses, NET-Works significantly reduced BMI over 3 years among Hispanic children and children with baseline overweight or obesity. Trial registration: ClinicalTrials.gov Identifier: NCT01606891.
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The Healthy Eating Index (HEI) is a measure for assessing whether a set of foods aligns with the Dietary Guidelines for Americans (DGA). An updated HEI is released to correspond to each new edition of the DGA, and this article introduces the latest version, which reflects the 2015-2020 DGA. The HEI-2015 components are the same as in the HEI-2010, except Saturated Fat and Added Sugars replace Empty Calories, with the result being 13 components. The 2015-2020 DGA include explicit recommendations to limit intakes of both Added Sugars and Saturated Fats to <10% of energy. HEI-2015 does not account for excessive energy from alcohol within a separate component, but continues to account for all energy from alcohol within total energy (the denominator for most components). All other components remain the same as for HEI-2010, except for a change in the allocation of legumes. Previous versions of the HEI accounted for legumes in either the two vegetable or the two protein foods components, whereas HEI-2015 counts legumes toward all four components. Weighting approaches are similar to those of previous versions, and scoring standards were maintained, refined, or developed to increase consistency across components; better ensure face validity; follow precedent; cover a range of intakes; and, when applicable, ensure the DGA level corresponds to a score >7 out of 10. HEI-2015 component scores can be examined collectively using radar graphs to reveal a pattern of diet quality and summed to represent overall diet quality.
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This study examines the distribution of crime across various types of low-income housing developments and estimates the main and interactive effects of housing development and neighborhood characteristics on crime. Negative binomial regression models were estimated to observe the influence of security and design features, neighborhood concentrated disadvantage, residential stability, and nearby nonresidential land use on crime at the housing developments. The findings suggest that low-income housing developments are not uniformly criminogenic, and both development characteristics and neighborhood conditions are relevant for understanding crime in low-income housing developments. Implications for prevention are discussed.
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To follow and predict the evolution of adiposity during growth, individual adiposity curves, assessed by the weight/height² index, were drawn for 151 children from the age of 1 month to 16 yr. Adiposity increases during the 1st yr and then decreases. A renewed rise, termed here the adiposity rebound, occurs at about 6 yr. Individual weight/height² curves may differ regarding their percentile range level and age at adiposity rebound. The present study shows a relationship between the age at adiposity rebound and final adiposity. An early rebound (before 5.5 yr) is followed by a significantly higher adiposity level than a later rebound (after 7 yr). This phenomenon is observed whatever the subject's adiposity at 1 yr. The present observations might be connected with the cellularity of adipose tissue.
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This meta-analysis aimed to evaluate the association between childhood and adolescent obesity and depression. We systematically searched PubMed, PsycInfo, EMBASE and Science Direct for studies that compared prevalence of depression and depressive symptoms in normal weight and obese children and adolescents. Observational studies were included if they reported body mass index and assessed depression by validated instruments or diagnostic interviews. Quality assessment was performed using the Newcastle-Ottawa scale. We used the random-effect model to calculate the pooled odds ratios, standard mean differences (SMDs) and subgroup analysis. Findings for a total of 51,272 participants were pooled across 18 studies and examined. Our analyses demonstrated a positive association between childhood and adolescent obesity and depression (pooled odds ratio = 1.34, 95% confidence interval [CI]: 1.1-1.64, p = 0.005) and more severe depressive symptoms (SMD = 0.23, 95% CI: 0.025-0.44, p = 0.028) in the obese groups. Overweight subjects were not more likely to have either depression (pooled odds ratio = 1.16, 95% CI: 0.93-1.44, p = 0.19) or depressive symptoms (SMD = 0, 95% CI: -0.101 to 0.102, p = 0.997). Non-Western and female obese subjects were significantly more likely to have depression and severe depressive symptoms (p < 0.05). In conclusion, obese children and adolescents are more likely to suffer from depression and depressive symptoms, with women and non-Western people at higher risk.
Article
Importance: Exposure to violence continues to be a growing epidemic, particularly among children. An enhanced understanding of the biological effect of exposure to violence is critical. Objective: To examine the association between neighborhood violence and cellular and biological stress in children. Design, setting, and participants: A matched, cross-sectional study of 85 black children aged 5 to 16 years from 52 neighborhoods took place in the greater New Orleans, Louisiana, area between January 1, 2012, and July 31, 2013. Exposures: Density of businesses where individuals can purchase alcohol as measured by rates per capita of liquor or convenience stores, and violence as measured by reports of violent crime and reports of domestic violence, operationalized as reports per capita of crime and domestic violence. Rates of exposure within a 500-, 1000-, and 2000-m radius from the child's home were calculated. Main outcomes and measures: Primary biological outcomes were telomere length and cortisol functioning. Results: Among the 85 children in the study, (mean [SD] age, 9.8 [3.1] years; 50 girls and 35 boys) significant variation in telomere length and cortisol functioning was observed at the neighborhood level, with intraclass correlation coefficients of 6% for telomere length, 3.4% for waking cortisol levels, and 5.5% for peak cortisol levels following a stressor. Density of liquor or convenience stores within a 500-m radius of a child's home was associated with a decrease in mean telomere length by 0.004 for each additional liquor store or convenience store (β [SE], -0.004 [0.002]; P = .02). The rate of domestic violence was significantly and inversely associated with a decrease in mean telomere length by 0.007 for each additional report of domestic violence in a 500-m radius of a child's home (β [SE], -0.007 [0.001]; P < .001). The rate of violent crime was significantly associated with a decrease in mean telomere length by 0.006 for each additional report of violent crime in a 500-m radius of a child's home (β [SE], -0.006 [0.002]; P < .001). Children exposed to more liquor and convenience stores within 500 m of their home were significantly less likely to reduce cortisol levels after a reactivity test (β, 0.029; P = .047), as were children exposed to high rates of domestic violence (β, 0.088; P = .12) and violent crime (β, 0.029; P = .006). Children exposed to more liquor and convenience stores within 500 m of their home had a steeper diurnal decline in cortisol levels during the day (β [SE], -0.002 [0.001]; P = .04), as did children exposed to more violent crime within 500 m of their home (β [SE] -0.032 [0.014]; P = .02). Conclusions and relevance: Neighborhoods are important targets for interventions to reduce the effect of exposure to violence in the lives of children. These findings provide the first evidence that objective exposures to neighborhood-level violence influence both physiological and cellular markers of stress, even in children.
Article
The purpose of this study was to investigate the longitudinal association between household food security status and growth in body mass index (BMI) in a sample of U.S. children from kindergarten through eighth grade. In kindergarten, females in food insecure households had an average BMI that was 1.12% less (95% confidence interval [CI], −1.89, −0.34) than females in food secure households. Between kindergarten and eighth grade, females in food insecure households increased their BMI growth by 2.87% (95% CI, 1.27, 4.49) compared to females in food secure households. This growth resulted in a BMI in eighth grade that was 1.72% higher (95% CI, 0.34, 3.12) among females in food insecure households compared to those in food secure households. No significant differences were found for BMI growth in males based on household food security status. Household food insecurity is significantly associated with BMI growth in female children.
Article
The human brain undergoes a remarkable transformation during fetal life and the first postnatal years from a relatively undifferentiated but pluripotent organ to a highly specified and organized one. The outcome of this developmental maturation is highly dependent on a sequence of environmental exposures that can have either positive or negative influences on the ultimate plasticity of the adult brain. Many environmental exposures are beyond the control of the individual, but nutrition is not. An ever-increasing amount of research demonstrates not only that nutrition shapes the brain and affects its function during development but also that several nutrients early in life have profound and long-lasting effects on the brain. Nutrients have been shown to alter opening and closing of critical and sensitive periods of particular brain regions. This paper discusses the roles that various nutrients play in shaping the developing brain, concentrating specifically on recently explicated biological mechanisms by which particularly salient nutrients influence childhood and adult neural plasticity.
Article
A central issue when designing multidimensional biological and psychosocial interventions for children who are exposed to multiple developmental risks is identification of the age period(s) in which such interventions will have the strongest and longest lasting effects (sensitive periods). In this paper, we review nutritional, neuroscientific, and psychological evidence on this issue. Nutritional evidence is used to identify nutrient-sensitive periods of age-linked dimensions of brain development, with specific reference to iron deficiency. Neuroscience evidence is used to assess the importance of timing of exposures to environmental stressors for maintaining neural, neuroendocrine, and immune systems integrity. Psychological evidence illustrates the sensitivity of cognitive and social-emotional development to contextual risk and protective influences encountered at different ages. Evidence reviewed documents that the early years of life are a sensitive period when biological or psychosocial interventions or exposure to risk or protective contextual influences can produce unique long-term influences upon human brain, neuroendocrine, and cognitive or psychosocial development. However, the evidence does not identify the early years as the sole sensitive time period within which to have a significant influence upon development. Choice of age(s) to initiate interventions should be based on what outcomes are targeted and what interventions are used.
Article
Childhood obesity is a public health epidemic and is associated with substantial negative physical and psychosocial health consequences. Stress is thought to be one contributor to the development and maintenance of obesity in children and adolescents, yet the linkage between stress and paediatric obesity is a poorly understood phenomenon. This paper furthers the understanding of stress in the context of paediatric obesity by firstly presenting a focused review of what is known about links between chronic and acute stress and paediatric obesity risk and then synthesizing important areas from the literature. These critical areas of focus include the following: (1) physiological stress reactivity; (2) stress-induced eating; (3) stress and physical activity; (4) parent and family influences; and (5) stress in at-risk populations. This review is geared toward facilitating future research on the stress-obesity connection in youth. Copyright © 2013 John Wiley & Sons, Ltd.
Article
Obesity and its co-occurrence with household food insecurity among low-income families is a public health concern, particularly because both are associated with later adverse health consequences. Our aim was to examine the relationship between household food insecurity with and without hunger in infancy and later childhood with weight status at 2 to 5 years. This longitudinal study uses household food-security status, weight, and height data collected at the first infancy and last child (2 to 5 years) Special Supplemental Nutrition Program for Women, Infants, and Children visits. Household food security was based on parent/caretaker responses to a four-question subscale of the 18-item Core Food Security Module. Obesity was defined as sex-specific body mass index for age ≥95th percentile. A diverse (58.6% non-white) low-income sample of 28,353 children participating in the Massachusetts Special Supplemental Nutrition Program for Women, Infants, and Children (2001-2006); 24.9% of infants and 23.1% of children lived in food-insecure households and 17.1% were obese at their last child visit. Multivariate logistic regression analyses assessed the association between household food-security status during the infant and child visits, and risk of preschool obesity, while controlling for child race/Hispanic ethnicity, sex, child and household size, maternal age, education, and prepregnancy weight. Interactions between these covariates and household food-security status were also examined. In cases of multiple comparisons, a Bonferroni correction was applied. Persistent household food insecurity without hunger was associated with 22% greater odds of child obesity (odds ratio=1.22; 95% CI 1.06 to 1.41) compared with those persistently food secure (P<0.05). Maternal prepregnancy weight status modified this association with children of underweight (adjusted odds ratio=3.22; 95% CI 1.70 to 6.11; P=0.003) or overweight/obese (adjusted odds ratio=1.34; 95% CI 1.11 to 1.62; P=0.03) mothers experiencing greater odds of child obesity with persistent household food insecurity without hunger compared with those with persistent household food security. These results suggest that persistent household food insecurity without hunger is prospectively related to child obesity, but that these associations depend on maternal weight status. Vulnerable groups should be targeted for early interventions to prevent overweight and obesity later in life.
Article
Measurement invariance is usually tested using Multigroup Confirmatory Factor Analysis, which examines the change in the goodness-of-fit index (GFI) when cross-group constraints are imposed on a measurement model. Although many studies have examined the properties of GFI as indicators of overall model fit for single-group data, there have been none to date that examine how GFIs change when between-group constraints are added to a measurement model. The lack of a consensus about what constitutes significant GFI differences places limits on measurement invariance testing. We examine 20 GFIs based on the minimum fit function. A simulation under the two-group situation was used to examine changes in the GFIs (ΔGFIs) when invariance constraints were added. Based on the results, we recommend using Δcomparative fit index, ΔGamma hat, and ΔMcDonald's Noncentrality Index to evaluate measurement invariance. These three ΔGFIs are independent of both model complexity and sample size, and are not correlated with the overall fit measures. We propose critical values of these ΔGFIs that indicate measurement invariance.
Article
Food security occurs when all members of a household have reliable access to food in sufficient quantity and quality to maintain an active and healthy lifestyle. Given the important biological and social value of food for humans, food and food sufficiency have been traditional topics of study among biological anthropologists. The focus on food insecurity, however, has emerged within the past two decades and recent global events, including the food crisis of 2007/2008, have led to renewed interests in the topic of food insecurity and wellbeing. Here, we review current and novel threats to food security, current thinking on measurement and definitions, and then outline a model that links food insecurity to coping strategies and then to health outcomes. We suggest that coping strategies are typically context-specific and can be food and nonfood based. We further suggest that coping strategies may impact health quite broadly, not just through nutritional pathways. We then review available data on the relationship between food insecurity and nutritional status, chronic diseases, infectious diseases, and mental health. Our review highlights the far reaching consequences of food insecurity for human wellbeing but also the considerable variability in its effect and our limited empirical knowledge of the pathways through which food insecurity impacts health. We conclude by offering thoughts on how biological anthropologists might contribute to growing our understanding of food insecurity and human health and wellbeing. Am J Phys Anthropol, 2012. © 2012 Wiley Periodicals, Inc.
Article
Investigations of Kaplan's self-derogation theory of delinquency are numerous, but results have been mixed. Progress in this domain of research may be hampered by the use of statistical methods that do not optimally test hypotheses derived from the theory. In this study, the relationship between self-esteem and delinquency is examined using latent growth curve modeling (LGM). Analyses of panel data from the Youth In Transition study supported Kaplan's theory by showing that delinquency was positively associated with growth in self-esteem among adolescent boys who initially reported having low self-regard. It was also found that self-esteem had a moderate, but significant, negative relationship with subsequent delinquency, net of prior delinquent behavior. It is concluded that future investigations of the relationship between self-esteem and delinquency would benefit from the use of LGM.
Article
Objective: This study determined the accuracy of the multiple-pass 24-hour recall method for estimating energy intake in young children by comparing it with measurements of total energy expenditure made using the doubly labeled water method. Design: Three multiple-pass 24-hour recalls were obtained over a 14-day period to estimate mean energy intake. Total energy expenditure was measured over the same 14-day period under free-living conditions using the doubly labeled water technique. Subjects/setting: Twenty-four children between the ages of 4 and 7 years were tested at the General Clinical Research Center/Sims Obesity Nutrition Research Center at the University of Vermont. Statistical analysis: t Tests, paired t tests, Pearson product-moment correlation coefficients, pairwise comparison to show relative bias and limits of agreement, and regression analysis were used to test the relationships among study variables. Results: No difference was found between 3-day mean energy intake and total energy expenditure for the group (t = 2.07, P = .65). The correlation between individual measures of energy intake and total energy expenditure was not statistically significant (r = .25, P = .24). Conclusions: Data from 3 days of multiple-pass 24-hour recalls were sufficient to make valid group estimates of energy intake. The method was not precise for individual measurements of energy intake.
Article
In the USA, several nutrition-related issues confront the normal growth, maturation and development of children and adolescents including obesity and food insecurity. The purpose of this paper is to provide a review of the concept of food insecurity and a summary of studies that have examined the association between food insecurity and overweight/obesity in children and adolescents. Besides the initial case report, we review 21 studies (16 cross-sectional and five prospective studies) that have been published on this topic as of December 2009. As there is limited literature in this area, we review studies that sample children and adolescents in the USA. The results are mixed with positive, negative and null associations. The reasons for the mixed results are difficult to disentangle. Among earlier studies, small samples hampered definitive conclusions. More recent studies with larger samples have overcome these limitations and tend to find no associations between these constructs. Nonetheless, all of the studies to date have shown that food insecurity and overweight co-exist - that is, even though there may not be statistically significant differences in overweight between food-insecure and food-secure children, the prevalence of overweight remains relatively high in food-insecure children.
Article
Both household food insecurity and childhood overweight are serious public health problems that appear to be paradoxically correlated. This study examines the relationship between overweight and household food insecurity with/without hunger in low-income children participating in the Special Supplemental Nutrition Program for Women, Infants, and Children. Weight, height, and household food insecurity data were collected on 8,493 children ages 1 month to 5 years and analyzed by sex and age groups using logistic regression to model the odds of being overweight (weight for length or body mass index [calculated as kg/m(2)] for age > or =95th percentile) given household food insecurity status, controlling for race/ethnicity and maternal education. Analyses were stratified by age and sex because interaction terms with household food insecurity were significant (P<0.10). In this sample, prevalence of household food insecurity was 30.7% (8.3% with hunger) and 18.4% were overweight. Among girls younger than 2 years of age, household food insecurity was associated with reduced odds of overweight compared with food-secure households (odds ratio=0.65; 95% confidence interval: 0.47 to 0.88); hunger status did not alter this association. Among 2- to 5-year-old girls, there was no overall significant association between household food insecurity and overweight; however, household food insecurity with hunger was positively associated with overweight compared with those from food-secure households (odds ratio=1.49; 95% confidence interval: 1.06 to 2.10). No association between household food insecurity and overweight was found among boys. These findings suggest an association between household food insecurity and overweight prevalence in this low-income population. However, sex and age appear to modify both the magnitude and direction of the association.
Article
On the basis of an 18-item Household Food Security Scale, a short form was developed to assess financially based food insecurity and hunger in surveys of households with and without children. To maximize the probability that households would be correctly classified with respect to food insecurity and hunger, 6 items from the full scale were selected on the basis of April 1995 Current Population Survey data. The short form classified 97.7% of households correctly and underestimated the prevalence of overall food insecurity and of hunger by 0.3 percentage points. The short form of the Household Food Security Scale is a brief but potentially useful tool for national surveys and some state/local applications.
Article
'Stress' embraces the reaction to a multitude of poorly defined factors that disturb homeostasis or allostasis. In this overview, the activation of the hypothalamic-pituitary-adrenal (HPA) axis and the sympathetic nervous system have been utilized as objective measurements of stress reactions. Although long-term activation of the sympathetic nervous system is followed by primary hypertension, consequences of similar activation of the HPA axis have not been clearly defined. The focus of this overview is to examine whether or not repeated activation of these two stress centres may be involved in the pathogenesis of abdominal obesity and its comorbidities. In population studies adrenal hormones show strong statistical associations to centralization of body fat as well as to obesity. There is considerable evidence from clinical to cellular and molecular studies that elevated cortisol, particularly when combined with secondary inhibition of sex steroids and growth hormone secretions, is causing accumulation of fat in visceral adipose tissues as well as metabolic abnormalities (The Metabolic Syndrome). Hypertension is probably due to a parallel activation of the central sympathetic nervous system. Depression and 'the small baby syndrome' as well as stress exposure in men and non-human primates are followed with time by similar central and peripheral abnormalities. Glucocorticoid exposure is also followed by increased food intake and 'leptin resistant' obesity, perhaps disrupting the balance between leptin and neuropeptide Y to the advantage of the latter. The consequence might be 'stress-eating', which, however, is a poorly defined entity. Factors activating the stress centres in humans include psychosocial and socioeconomic handicaps, depressive and anxiety traits, alcohol and smoking, with some differences in profile between personalities and genders. Polymorphisms have been defined in several genes associated with the cascade of events along the stress axes. Based on this evidence it is suggested that environmental, perinatal and genetic factors induce neuroendocrine perturbations followed by abdominal obesity with its associated comorbidities.
Article
The fact, that obesity is a prominent feature of hypercortisolism (Cushing's syndrome) has stimulated investigation on the possible existence of the reverse relationship, namely that hypercortisolism is a feature of obesity. We have reviewed half a century of literature on this question, and have found out the following: (1) Hypercortisolism can exist in two forms: systemic hypercortisolism, in which there is an overall bodily excess of cortisol, and tissue, or intracellular, hypercortisolism, in which there is increased intracellular concentration of cortisol without an overall bodily excess. (2) There are two parameters of systemic hypercortisolism: CPR and plasma cortisol concentration. Proper evaluation of the first parameter requires correction for the active metabolic mass, which is best performed by expressing CPR per gram of urinary creatinine. The second parameter can be confounded by the marked moment-to-moment fluctuations in plasma cortisol concentrations due to cortisol's episodic secretion. Proper evaluation requires measuring the 24-hour mean concentration. Of these two parameters of systemic cortisol status, the plasma concentration is the more critical and accurate. (3) Corrected CPR is normal in obese individuals, and 24-hour mean plasma cortisol concentrations are slightly but definitely subnormal. This combination of findings indicates diminished stimulability of the hypothalamic-pituitary-adrenal (HPA) axis, which normally regulates bodily cortisol status. This deduction is supported by empirical studies on HPA reactivity. (4) Tissue hypercortisolism, due to increased intracellular activity of 11beta-HSD-1, which catalyzes reduction of cortisone to cortisol, has been reported in obese mice and humans. The findings of various studies are not consistent, and whether the enzymatic overactivity is a cause or a result of obesity is still unclear.
Article
Recent work on the determinants of obesity has shown a positive association between household food insecurity and overweight status in adult women, yet research exploring this issue in children has been inconclusive. In this study we examine the association between food insecurity and overweight status in young school children by using a large, nationally representative sample. Data from the Early Childhood Longitudinal Study-Kindergarten Cohort (ECLS-K) were analyzed. Replicate heights and weights were measured on kindergarten children (N = 16889) in the spring of 1999. Children with a body mass index > or = 95th percentile of their gender-specific BMI-for-age chart were considered overweight. Food-insecurity status was assessed by using the full 18-question US Department of Agriculture Household Food Security Scale. Multivariate logistic regression was used to assess the relationship between overweight and food-insecurity status while controlling for potential demographic, socioeconomic, and behavioral confounders. Overall, 11.2% of the girls and 11.8% of the boys were overweight. Children from food-insecure households were 20% less likely to be overweight than their food-secure counterparts. Similar results on the food-insecurity/overweight link were found across a range of different models and expressions for key variables. Positive predictors of overweight status included low physical activity, television watching for > 2 hours/day, high birth weight, black or Latino ethnicity, and low income. There are strong arguments for reducing food insecurity among households with young children. This research suggests that these arguments would be based on reasons other than a potential link to obesity. Low activity levels and excessive television watching, however, were strongly related to overweight status, a finding that supports continued efforts to intervene in these areas.
Article
This paper studies the relationship between family food insufficiency and being overweight in a population-based cohort of preschool children (n=2103) using data from the Longitudinal Study of Child Development in Québec (1998-2002) (LSCDQ). Family food insufficiency status was derived when children were 1.5 years of age (from birth to 1.5 years) and at 4.5 years of age (from 3.5 to 4.5 years). Children's height and weight were measured at home at 4.5 years. Overweight was defined according to the US CDC sex- and age-specific growth charts and Cole's criteria. Statistical analyses were done with SAS (version 8.2). In multivariate analyses, mean body mass index (BMI) was higher for children from food insufficient families compared to children from food sufficient families, even when important factors associated with BMI, such as child's birth weight, parental BMI, maternal education, and family income sufficiency were considered. We did not report any gender effects in the multivariate analyses. The presence of family food insufficiency at some point during preschool years more than tripled (OR 3.4, 95% CI 1.5-7.6) the odds for obesity using the Cole criteria, and doubled (OR 2.0, 95% CI 1.1-3.6) the odds for overweight at 4.5 years using the CDC growth curves indicator. We observed an interaction between birth weight and family food insufficiency in relation to being overweight at 4.5 years. Low-birth-weight children living in a household that experienced food insufficiency during preschool years are at higher risk of overweight at 4.5 years. Given this important finding, supportive interventions targeting low-income and food insufficient families, including pregnant women, are recommended for preventing overweight and obesity among their children.
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We used the Early Childhood Longitudinal Study-Birth Cohort 9- and 24-mo surveys (n = 8693) and Structural Equation Modeling to examine direct and indirect associations between food insecurity and toddlers' overweight (weight for length), physical health, and length for age. There were significant effects of food insecurity on parental depression and parental depression in turn influenced physical health. There were also significant effects of food insecurity on parenting practices, which in turn were significantly associated with infant feeding and subsequently toddlers' overweight. There were no significant direct or indirect associations between food insecurity and toddlers' length for age. Our results show that food insecurity influences parenting, including both depression and parenting practices. Findings suggest parental depression is a stressor on parenting behavior that social policy should address to alleviate problematic child health outcomes. Findings underscore the importance of continuing and strengthening policy initiatives to ensure that families with infants and toddlers have sufficient, predictable, and reliable food supply.
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Hunger is prevalent in low-income families. Community clinics offer an opportunity to identify families who experience hunger and to address hunger-related health problems. Parents of pediatric patients seen in an urban clinic completed a single question hunger screen. A subsample of parents participated in an interview. Patient and parental medical and mental health diagnoses were collected from medical records. Children from families reporting hunger were more likely than those from families not reporting hunger to be obese and to have more documented medical diagnoses. Parents reporting hunger were also more likely to have mental health problems noted and to describe poor health status. Hunger is associated with specific health problems among children and parents in a low-income community clinic. A simple screen to identify hungry families in clinics may assist in recognition of hunger's contribution to child and parental poor health and development of targeted interventions.
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This study investigates the correlation between food insecurity, educational achievement, and health among kindergarten children in the United States. Data from the Early Childhood Longitudinal Study--Kindergarten Cohort are used to analyze educational achievement and physical growth of kindergartners faced with food insecurity. The results demonstrate that children begin to experience the effects of food insecurity even at the most marginal level of household food deprivation. Children in households with any signs of food insecurity score lower and learn less during the school year. Copyright 2003, Oxford University Press.