Associations of Weekday and Weekend Sleep with Children’s Reported Eating in the Absence of Hunger

LeMay‐Russell, Sarah; Tanofsky‐Kraff, Marian; Schvey, Natasha A.; Kelly, Nichole R.; Shank, Lisa M.; Mi, Sarah J.; Jaramillo, Manuela; Ramirez, Sophie; Altman, Deborah R.; Rubin, Sarah G.; Byrne, Meghan E.; Burke, Natasha L.; Davis, Elisabeth K.; Broadney, Miranda M.; Brady, Sheila M.; Yanovski, Susan Z.; Yanovski, Jack A.

doi:10.3390/nu11071658

Cited by 34 publications

(29 citation statements)

References 77 publications

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“…insulin, ghrelin and leptin) that may in turn alter eating behaviors and increase food intake 43 – 45 . Indeed, weekend “catch-up” sleep has been associated with eating in the absence of hunger, or eating past satiation in response to fatigue, negative affect, or when cued by external circumstances such as the sight or smell of food 46 . However, none of these studies examined sex-specific relationship between sleep variability and obesity, and it is unclear what factors account for the stronger relationship among females in our study, a finding that needs to be confirmed by future studies.…”

Section: Discussionmentioning

confidence: 99%

Adolescent sleep characteristics and body-mass index in the Family Life, Activity, Sun, Health, and Eating (FLASHE) Study

Schneider

Zhang

Xiao

2020

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Sleep may play a role in overweight and obesity in adolescents. the objective of this study is to investigate the relationships between sleep duration and timing and overweight and obesity status in adolescents, with a special emphasis on weekday-weekend difference in sleep characteristics as well as sex-specific relationships. We examined 1,254 U.S. adolescents (12-17 years) self-reported sleep duration, timing, weekday-weekend differences in duration and timing in relation to overweight and obesity. We found an inverse association between sleep duration and overweight and obesity. Compared to 8-9 h of sleep, short sleep (< 7 h) on weekdays was associated with higher odds of overweight and obesity [Odds ratio (95% confidence interval), 1.73 (1.00, 2.97)] in the overall population, while long sleep (10+ h) on weekends was associated with lower odds, but only in males [0.56 (0.34, 0.92)]. We also found that a larger weekday-weekend difference in sleep duration was associated with overweight and obesity in females, but not in males. Specifically, the odds of overweight and obesity were significantly higher among females reporting longer sleep on weekends than weekdays by ≥ 2 h [2.31 (1.15, 4.63)] when compared to those reporting little weekday-weekend differences. Sleep timing, or weekday-weekend differences in sleep timing, were not associated with overweight and obesity in the overall population, although we found suggestive evidence linking later weekend sleep with overweight and obesity in females. Our findings support a role of sleep in adolescent obesity and suggest sex-differences in this relationship that warrant future studies. Adolescents who are overweight and obese are at a greater risk of developing a wide range of health conditions in adulthood, including high blood pressure, heart disease and strokes, certain types of cancer, kidney disease, and type II diabetes 1. Emerging evidence suggests that sleep deficiency may be an important risk factor for overweight and obesity in childhood and adolescence. However, findings from previous studies are mixed, with some reporting negative associations between sleep duration and body-mass index (BMI) 2-5 , others reporting U-shaped associations similar to findings in adults 6 , and some reporting no associations at all 7. Recent studies suggested that later sleep timing and propensity of eveningness may also be associated with higher BMI 8-12. This may be due to more severe misalignment between the internal circadian cycles and the behavioral sleep-wake cycles that are partially influenced by social and environmental factors such as school schedules and social obligations 13,14. It has been well documented that chronotype shifts later during adolescent years 14. Many middle and high schools have a relatively early start time, and this mismatch between school schedules and chronotype-determined sleep window may lead to sleep deficiency on weekdays among adolescents. Moreover, sex-differences in chronotype and sleep patterns have been reported among adolescents, ...

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Section: Discussionmentioning

confidence: 99%

Adolescent sleep characteristics and body-mass index in the Family Life, Activity, Sun, Health, and Eating (FLASHE) Study

Schneider

Zhang

Xiao

2020

Sci Rep

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“…In older age groups, whose nightly sleep is typically less variable, any fluctuations may be more likely to be pathological or deleterious to metabolic health. Notably, some research has found differences between weekend and weekday sleep to be associated with increased hunger, but not with increased fat mass [ 27 ]. However, conflicts in the literature are apparent with another study finding that such difference was associated with an array of metabolic risk factors, including adiposity, in adults aged 30–54 years [ 53 ].…”

Section: Discussionmentioning

confidence: 99%

“…Similarly, according to a recent review, the evidence between fluctuations in sleep duration between weekday and weekend nights and metabolic risk in young people is limited and inconclusive [ 26 ]. There is, however, a growing body of literature indicating that the difference between weekend and weekday night sleep is associated with unhealthy changes to eating behaviours and diet quality, though this is heavily reliant on cross-sectional data [ 27 , 28 ]. Eating behaviours and diet quality would likely lie on a causative pathway between sleep and metabolic risk.…”

Section: Introductionmentioning

confidence: 99%

How do associations between sleep duration and metabolic health differ with age in the UK general population?

et al. 2020

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Background Despite a growing body of evidence suggesting that short sleep duration may be linked to adverse metabolic outcomes, how these associations differ between age groups remains unclear. We use eight years of data from the UK National Diet and Nutritional Survey (NDNS) (2008–2016) to analyse cross-sectional relationships between sleep duration and metabolic risk in participants aged 11–70 years. Methods Participants (n = 2008) who provided both metabolic risk and sleep duration data were included. Self-reported sleep duration was standardised by age, to account for differences in age-related sleep requirements. A standardised metabolic risk score was constructed, comprising: waist circumference, blood pressure, serum triglycerides, serum high-density lipoprotein cholesterol, and fasting plasma glucose. Regression models were constructed across four age groups from adolescents to older adults. Results Overall, decreased sleep duration (hrs) was associated with an increased metabolic risk (standard deviations) with significant quadratic (B:0.028 [95%CI: 0.007, 0.050]) and linear (B:-0.061 [95%CI: -0.111, -0.011]) sleep duration coefficients. When separated by age group, stronger associations were seen among mid-aged adults (36-50y) (quadratic coefficient: 0.038 [95%CI: 0.002, 0.074]) compared to other age groups (e.g. adolescents (11-18y), quadratic coefficient: -0.009 [95%CI: -0.042, 0.025]). An increased difference between weekend and weekday sleep was only associated with increased metabolic risk in adults aged 51–70 years (B:0.18 [95%CI: 0.005, 0.348]). Conclusions Our results indicate that sleep duration is linked to adverse metabolic risk and suggest heterogeneity between age groups. Longitudinal studies with larger sample sizes are required to explore long-term effects of abnormal sleep and potential remedial benefits.

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“…Study 1 is an ongoing observational longitudinal study initiated in 2015 (http://clinicaltrials.gov ID# NCT02390765); other findings have been previously reported 26‐28 . Participants were non‐treatment‐seeking boys and girls, 8 to 17 years old.…”

Section: Methodsmentioning

confidence: 99%

Weight‐based teasing in youth: Associations with metabolic and inflammatory markers

et al. 2020

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Summary Background Research among adults suggests that weight stigma is associated with worsened cardiometabolic health. However, these relationships have not been examined among youth. Objective Assess associations between weight‐based teasing (WBT) and metabolic and inflammatory markers among two samples of youth: (1) a non‐treatment‐seeking sample and (2) a weight loss treatment‐seeking sample with obesity. Method Weight, height, adiposity, waist circumference and blood pressure were measured. Fasting blood samples were collected for metabolic (triglycerides, glucose, high‐density lipoprotein cholesterol) and inflammatory analytes (high‐sensitivity C‐reactive protein in Study 1 and erythrocyte sedimentation rate in both studies). Youths completed the Perception of Teasing Scale, a measure of WBT. Metabolic and inflammatory indices were compared between those with and without teasing, adjusting for demographics and body composition. Results Study 1 enrolled 201 non‐treatment‐seeking youth (Mage = 13.1y; 54.2% female; 44.8% non‐Hispanic White; 32.8% with overweight/obesity); 15.4% reported WBT. Study 2 enrolled 111 treatment‐seeking adolescents with obesity (Mage = 14.0y; 66.7% female; 37.8% non‐Hispanic White); 73.0% reported WBT. Adjusting for covariates, WBT was not associated with cardiometabolic risk factors in either study. Conclusions WBT was not associated with worsened cardiometabolic health. Longitudinal research is needed to elucidate associations between WBT and health in youth.

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Associations of Weekday and Weekend Sleep with Children’s Reported Eating in the Absence of Hunger

Cited by 34 publications

References 77 publications

Adolescent sleep characteristics and body-mass index in the Family Life, Activity, Sun, Health, and Eating (FLASHE) Study

Adolescent sleep characteristics and body-mass index in the Family Life, Activity, Sun, Health, and Eating (FLASHE) Study

How do associations between sleep duration and metabolic health differ with age in the UK general population?

Weight‐based teasing in youth: Associations with metabolic and inflammatory markers

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