Longitudinal associations between sleep duration and subsequent weight gain: a systematic review.
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ABSTRACT: Objective
To systematically examine the relationship between sleep duration and subsequent weight gain in observational longitudinal human studies.Methods
Systematic review of twenty longitudinal studies published from 2004-October 31, 2010.Results
While adult studies (n = 13) reported inconsistent results on the relationship between sleep duration and subsequent weight gain, studies with children (n = 7) more consistently reported a positive relationship between short sleep duration and weight gain.Conclusion
While shorter sleep duration consistently predicts subsequent weight gain in children, the relationship is not clear in adults. We discuss possible limitations of the current studies: 1) the diminishing association between short sleep duration on weight gain over time after transition to short sleep, 2) lack of inclusion of appropriate confounding, mediating, and moderating variables (i.e., sleep complaints and sedentary behavior), and 3) measurement issues.
SUBMITTER: Magee L
PROVIDER: S-EPMC3202683 | biostudies-literature | 2012 Jun
REPOSITORIES: biostudies-literature
Publications
Longitudinal associations between sleep duration and subsequent weight gain: a systematic review.
Sleep medicine reviews 20110723 3
<h4>Objective</h4>To systematically examine the relationship between sleep duration and subsequent weight gain in observational longitudinal human studies.<h4>Methods</h4>Systematic review of twenty longitudinal studies published from 2004-October 31, 2010.<h4>Results</h4>While adult studies (n = 13) reported inconsistent results on the relationship between sleep duration and subsequent weight gain, studies with children (n = 7) more consistently reported a positive relationship between short sl ...[more]
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Project description:Background and objectiveThe high prevalence of obesity is a serious problem, and sleep is considered to be a factor for obesity. This study aimed to examine the relationship between sleep duration, sleep quality, and weight status among children and adolescents in China and to explore whether the relationship between sleep duration and weight status is independent of sleep quality. Sex and age differences were also explored.MethodsA cross-sectional research was conducted among 2019 children and adolescents (1029 boys and 990 girls) aged 8-16 years in Shanghai. An open-question was used to obtain data on sleep duration, which was categorized into the following four groups based on the age-specific National Sleep Foundation Sleep Duration Recommendations: 1) very short, 2) short, 3) recommended, and 4) long. The Pittsburgh Sleep Quality Index was used to assess sleep quality. Weight and height were measured for all participants. The variable weight status was estimated with the Chinese children and adolescent age- and sex-specific body mass index (BMI) and was categorized into overweight/obesity and normal weight.ResultsShort sleep duration (7-8 and 6-7 h for 6-13 and 14-16 years old, respectively) significantly increased odds of overweight/obesity (OR = 1.32, 95% CI: 1.06-1.64) compared with that of the recommended sleep duration (9-11 and 8-10 h for 6-13 and 14-16 years old, respectively). The relationship between the two variables existed independent of sleep quality. No significant relationship was found between sleep quality and overweight/obesity of children and adolescents. Sleep quality (OR = 1.07, 95% CI: 1.01-1.14) and short sleep duration (OR = 1.51, 95% CI: 1.06-2.13) increased the risk for overweight/obesity among girls, whereas no significant relationships between sleep duration, sleep quality, and overweight/obesity were found among boys. Short sleep duration increased the risk of overweight/obesity in children aged 8-13 years (OR = 1.34, 95% CI: 1.05-1.71), independent of sleep quality, but no significant relationships between these two variables existed for adolescents aged 14-16 years.ConclusionsOverall, short sleep duration increased the risks of overweight/obesity in children and adolescents in China, independent of sleep quality. This relationship is significant for girls and children aged 8-13 years instead of boys and adolescents aged 14-16 years. Interventions to extend the sleep duration of children and adolescents, especially girls and children aged 8-13 years in China, are necessary to improve their weight status.
| S-EPMC9172025 | biostudies-literature
Project description:BackgroundInconsistent findings in previous studies of the association between sleep duration and changes in body mass index (BMI) may be attributed to misclassification of sleep duration fluctuations over time and unmeasured confounders such as genetic factors. The aim of the present study was to overcome these failings by using repeated measurements and panel data analysis to examine the sleep-BMI association.MethodsPanel data were derived by secondary use of the data from mandatory health checkups at a Japanese gas company. Male non-shift workers aged 19-39 years in 2007 were annually followed until 2010 (n = 1687, 6748 records). BMI was objectively measured, and sleep duration was self-reported.ResultsCompared with 7-hour sleepers, panel analysis with the population-averaged model showed a significant increase in BMI among 5-hour (0.11 kg/m(2), P = 0.001), 6-hour (0.07 kg/m(2), P = 0.038), and ≥8-hour (0.19 kg/m(2), P = 0.009) sleepers. On the other hand, after adjustment for unobserved time-invariant confounders using the fixed-effects model, the magnitude of the association was considerably attenuated and no longer significant (5-hour, 0.07 kg/m(2), P = 0.168; 6-hour, 0.02 kg/m(2), P = 0.631; ≥8-hour sleepers, 0.06 kg/m(2), P = 0.460).ConclusionsThe longitudinal association between sleep duration and changes in BMI may be upwardly biased by unobserved time-invariant confounders rather than misclassified sleep duration. The net effect of sleep duration on weight gain may therefore be less than previously believed.
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Project description:In adolescence, peer relationships become crucial since youths start to rely on their peers for support. Thus, multiple facets of adolescents' well-being are affected by their peer relationships. In this vein, one of the central well-being aspects that could be affected by the peer relationships of adolescents is sleep quality. Nevertheless, it is still unclear how multiple peer relationship factors (i.e., positive, negative, emotional, and behavioral issues related to peer relationships) are intertwined with adolescents' sleep quality. For this reason, this systematic review with meta-analysis aims to summarize longitudinal studies to uncover how the interplay between peer relationship factors and adolescents' sleep quality unfolds over time. Nineteen longitudinal studies involving a total of 21,232 adolescents were included. Overall, findings from this review showed that (a) positive peer relationships and sleep quality were not associated over time; (b) negative peer relationships and sleep quality were bidirectionally associated over time; (c) few studies evaluated the bidirectional relations between emotional and behavioral issues and sleep quality, showing links with sleep schedule and duration, but not with sleep quality. Meta-analytic results were discussed, considering their implications.
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Project description:In this large perspective cohort among European children and adolescents, we observed that daytime napping was positively associated with bone stiffness, while short or long sleep duration combined with poor sleep quality was associated with less bone stiffness. Our findings are important for obtaining optimal bone stiffness in childhood.IntroductionTo examine the cross-sectional and longitudinal associations between sleep duration, sleep quality, and bone stiffness index (SI) in European children and adolescents.MethodsFour thousand eight hundred seventy-one children aged 2-11 years from the IDEFICS study and 861 children aged 6-15 years from the subsequent I.Family study were included. Sleep duration (i.e., nocturnal sleep and daytime napping) and sleep quality (i.e., irregularly bedtime routine, have difficulty falling asleep and trouble getting up in the morning) were reported by self-administrated questionnaires. Nocturnal sleep duration was converted into age-specific z-scores, and total sleep duration was classified into short, adequate, and long based on the National Sleep Recommendation. Calcaneal SI of both feet were measured using quantitative ultrasound. Linear mixed-effects models with country as a random effect were used, with adjustments for sex, age, pubertal status, family socioeconomic status, physical activity, screen time, body mass index, and daylight duration.ResultsNocturnal sleep duration z-scores were positively associated with SI percentiles among participants with adequate sleep duration at baseline. Moreover, the positive association between daytime napping and SI percentiles was more pronounced in participants with adequate sleep duration at baseline, while at 4-year follow-up was more pronounced in participants with short sleep duration. In addition, extreme sleep duration at baseline predicted lower SI percentiles after 4 years in participants with poor sleep quality.ConclusionThe positive associations between nocturnal sleep, daytime napping and SI depended on total sleep duration. Long-term detrimental effect of extreme sleep duration on SI only existed in individuals with poor sleep quality.
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Project description:The aim of this study was to examine the relationship between parental anxiety (father-only, mother-only, or both) and infant weight change. We performed a secondary data analysis among 551 children in the Avon Longitudinal Study of Parents and Children, a birth cohort with weight measurements collected prospectively at 4, 8, and 12 months of age. Paternal and maternal anxiety symptoms were based on the eight-item anxiety subscale of the Crown-Crisp Experiential Index. Scores in the top 15% at 8 weeks postpartum were classified as high anxiety. Generalized Estimating Equations were employed to estimate the joint association between parental anxiety and change in child weight-for-age z-score. Children who had fathers, but not mothers, with anxiety showed a 0.15 (95% CI: 0.01, 0.29) greater increase in weight-for-age z-score than children with neither parent anxious. This result suggests that paternal anxiety, not maternal anxiety, was associated with increases in child weight gain in the first year of life. Public health practitioners and clinicians should consider the use of robust measures of both maternal and paternal anxiety in the postpartum period, in addition to the suggested screening for postpartum depression. Given the limitations of the study, this study should be considered preliminary and hypothesis generating.
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Project description:The contribution of rapid weight gain (RWG) during infancy to later adiposity has received considerable investigation. The present systematic review and meta-analysis aimed to update the literature on association between RWG and subsequent adiposity outcomes. Electronic searches were undertaken in EMBASE, MEDLINE, psycINFO, PubMed and ScienceDirect. Studies that examined the associations between RWG (a change in weight z-scores > 0.67) during infancy (from birth to age 2 years) and subsequent adiposity outcomes were included. Random effects meta-analysis was conducted to obtain the weighted-pooled estimates of the odds of overweight/obesity for those with RWG. Seventeen studies were eligible for inclusion with the majority of studies (15/17) being of high/acceptable quality and reporting positive associations between RWG during infancy and later adiposity outcomes. RWG in infancy was associated with overweight/obesity from childhood to adulthood (pooled odds ratio = 3.66, 95% confidence interval: 2.59-5.17, I2 > 75%). Subgroup analyses revealed that RWG during infancy was associated with higher odds of overweight/obesity in childhood than in adulthood, and RWG from birth to 1 year was associated with higher odds of overweight/obesity than RWG from birth to 2 years. The present study supports that RWG during infancy is a significant predictor of adiposity in later life.
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Project description:Although weight gain is a serious but variable adverse effect of antipsychotics that has genetic underpinnings, a comprehensive meta-analysis of pharmacogenetics of antipsychotic-related weight gain is missing. In this review, random effects meta-analyses were conducted for dominant and recessive models on associations of specific single nucleotide polymorphisms (SNP) with prospectively assessed antipsychotic-related weight or body mass index (BMI) changes (primary outcome), or categorical increases in weight or BMI (?7%; secondary outcome). Published studies, identified via systematic database search (last search: December 31, 2014), plus 3 additional cohorts, including 222 antipsychotic-naïve youth, and 81 and 141 first-episode schizophrenia adults, each with patient-level data at 3 or 4 months treatment, were meta-analyzed. Altogether, 72 articles reporting on 46 non-duplicated samples (n = 6700, mean follow-up = 25.1wk) with 38 SNPs from 20 genes/genomic regions were meta-analyzed (for each meta-analysis, studies = 2-20, n = 81-2082). Eleven SNPs from 8 genes were significantly associated with weight or BMI change, and 4 SNPs from 2 genes were significantly associated with categorical weight or BMI increase. Combined, 13 SNPs from 9 genes (Adrenoceptor Alpha-2A [ADRA2A], Adrenoceptor Beta 3 [ADRB3], Brain-Derived Neurotrophic Factor [BDNF], Dopamine Receptor D2 [DRD2], Guanine Nucleotide Binding Protein [GNB3], 5-Hydroxytryptamine (Serotonin) Receptor 2C [HTR2C], Insulin-induced gene 2 [INSIG2], Melanocortin-4 Receptor [MC4R], and Synaptosomal-associated protein, 25kDa [SNAP25]) were significantly associated with antipsychotic-related weight gain (P-values < .05-.001). SNPs in ADRA2A, DRD2, HTR2C, and MC4R had the largest effect sizes (Hedges' g's = 0.30-0.80, ORs = 1.47-1.96). Less prior antipsychotic exposure (pediatric or first episode patients) and short follow-up (1-2 mo) were associated with larger effect sizes. Individual antipsychotics did not significantly moderate effect sizes. In conclusion, antipsychotic-related weight gain is polygenic and associated with specific genetic variants, especially in genes coding for antipsychotic pharmacodynamic targets.
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Project description:Objective/Background: Fewer than one-third of U.S. women meet the Institute of Medicine guidelines for healthy gestational weight gain (GWG). While poor sleep quality and short sleep duration have been associated with weight gain and obesity in the general population, the relationship of sleep with pregnancy weight and body composition changes is unclear. This study aimed to examine associations of sleep duration and quality with pregnancy-related changes in body weight and fat. Participants: Pregnant women obtaining obstetric care through the University of North Carolina at Chapel Hill Healthcare System (UNC) (n = 339 who reported any sleep data) participating in the Pregnancy Eating Attributes Study. Materials and Methods: Participants were recruited at ≤12 weeks gestation and followed through delivery. The Pittsburgh Sleep Quality Index measured sleep duration and quality in early and late pregnancy. Weight was measured at each pregnancy medical visit and skinfolds were measured each trimester. t-tests examined sleep changes from early to late pregnancy and regression analyses estimated associations of sleep quality and duration with GWG and gestational fat gain (GFG). Results: Sleep quality and duration declined across pregnancy. A greater proportion of women with high early pregnancy body mass index (>25) reported low sleep quality and short sleep duration. Sleep quality was not associated with GWG adequacy, whereas longer late pregnancy sleep duration was associated with greater odds of inadequate GWG. Shorter sleep duration and lower sleep quality in late, but not early, pregnancy were associated with greater GFG. Conclusions: Lower sleep quality and shorter sleep duration in late pregnancy were associated with greater GFG. Experimental studies are needed to test the direction of causality between GFG and sleep attributes. ClinicalTrials.gov ID: NCT02217462.
| S-EPMC7957376 | biostudies-literature
Project description:Study objectivesThis systematic review aimed to examine the: (1) strength of associations between prenatal sleep (ie, duration, quality, and insomnia) and psychological health (ie, depression, anxiety, and stress); and (2) moderating influence of sociodemographic characteristics (ie, maternal age, gestational age/trimester, parity, marital and socioeconomic status [SES]), body mass index (BMI), and meeting sleep recommendations.MethodsA systematic search was conducted using PubMed, PsycINFO, Web of Science, and CINHAL to identify studies with at least one sleep measure and a psychological health outcome. Effect sizes (ES) were calculated by associations between individual components of sleep and psychological health (eg, sleep quality-depression).ResultsReviewed studies (n = 32) included 14,648 participants and yielded 219 ES. ES for anxiety/stress were combined due to insufficient data to analyze individually. Average strengths of associations for sleep duration-depression (ES = .52) and sleep duration-anxiety/stress (ES = .48), sleep quality-depression (ES = .55) and sleep quality-anxiety/stress (ES = .58), and insomnia-depression (ES = .67) ranged from medium to large. Marital status, parity, BMI, and meeting sleep recommendations moderated sleep duration-depression and sleep duration-anxiety/stress. SES, gestational age/trimester, parity, and BMI moderated sleep quality-depression and sleep quality-anxiety/stress associations.ConclusionsPoor sleep quality and depression are prevalent during pregnancy and may negatively impact maternal and fetal outcomes. Moderating effects suggest that pregnant women of different BMI status and gestational age differ in their sleep habits and depression and anxiety/stress levels. Findings highlight the need to better understand the impact of these associations on maternal-fetal outcomes to inform interventions to improve sleep and psychological health.
| S-EPMC7161464 | biostudies-literature
Project description:Background/objectivesSleep duration influences weight change in children and young adults, but there is less evidence in middle-aged, and, in particular, older adults. We assessed associations between sleep duration, daytime napping and sleep disturbances, respectively, with change of weight and waist circumference in older subjects. Contrary to previous studies, we also used two points in time to assess sleep characteristics.MethodsWe used data from the population-based Heinz Nixdorf Recall study, a cohort study in Germany with a baseline and two follow-up visits (age 45-74 years, median follow-up 5.1 years for first, 5.2 years for second follow-up visit). In adjusted linear regression models (N=3751), we estimated weight change between baseline and first follow-up visit in relation to various self-reported sleep characteristics measured at baseline. Furthermore, we estimated change of weight and waist circumference, respectively, between first and second follow-up visit in relation to patterns of sleep characteristics measured at baseline and at the first follow-up visit (N=2837).ResultsIn all analyses, short and long sleep duration, sleep disturbances, and regular daytime napping were associated with <1 kg of weight gain and <1 cm of gain in waist circumference over 5 years compared with the respective reference categories. For example, compared with 7-<8 h night sleep, short night sleep (⩽5 h at baseline) was associated with 0.5 kg of weight gain (95% confidence interval: -0.1; 1.1 kg).ConclusionsOur study gave no evidence that sleep characteristics were associated with clinically relevant weight gain in the older population.
| S-EPMC5022146 | biostudies-literature