The association between sleep duration, body mass index and metabolic measures in the Hordaland Health Study

2007 ◽  
Vol 16 (1) ◽  
pp. 66-76 ◽  
Author(s):  
BJØRN BJORVATN ◽  
INA MARIE SAGEN ◽  
NICOLAS ØYANE ◽  
SIRI WAAGE ◽  
ARNE FETVEIT ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
Health Study

scholarly journals PSYCHOCOGNITIVE REACTIVITY TO INSUFFICIENT SLEEP AND ITS ASSOCIATION WITH BODY MASS INDEX IN MIDDLE-AGED WORKERS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S640-S641
Author(s):  
Taylor Drury ◽  
Soomi Lee ◽  
Orfeu M Buxton ◽  
David M Almeida
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Health Outcomes ◽  
Sleep Duration ◽  
Body Mass ◽  
Health Study ◽  
Negative Slope ◽  
Middle Aged ◽  
Insufficient Sleep ◽  
Daily Diary Study

Abstract Individuals tend to report more stressors on days after nights with fewer hours of sleep. There may be individual differences such that this negative sleep duration—stressor perception relationship is stronger for some than others, which may have implications for health outcomes. However, we know little about whether differences in stressor perception in response to insufficient sleep (“psychocognitive reactivity to insufficient sleep”) are associated with health outcomes such as body weight. This study examined whether psychocognitive reactivity to insufficient sleep were associated with body mass index (BMI) in midlife workers. We used a sample of 127 office workers (Mage=45.2±6.2) who participated in a daily diary study for 8 consecutive days as part of the Work, Family, and Health Study. Multilevel models tested whether daily number of stressors was predicted by previous nights’ sleep. We outputted within-person slopes of stressors regressed on sleep duration to predict BMI (kg/m2). Analyses adjusted for sociodemographic characteristics and mean stressors across days. On average, workers reported more stressors following nights with shorter sleep duration than usual (negative slope means higher reactivity). Compared to those with average reactivity (within ±½SD; reference), workers with higher reactivity (≤-½SD) had higher BMI (p<.05). The BMI of these workers fell in the obese range. This study is one of the first to report that middle-aged workers with higher psychocognitive reactivity to insufficient sleep may be at greater risk for obesity. Future interventions should focus on improving middle-aged workers’ sleep health to reduce next-day stressors and thereby improve their body weight.

scholarly journals Combination of sleep duration, TV time and body mass index is associated with cardiometabolic risk moderated by age in youth

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ana P. Sehn ◽  
Anelise R. Gaya ◽  
Caroline Brand ◽  
Arieli F. Dias ◽  
Roya Kelishadi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Risk Factor ◽  
Sleep Duration ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
High Systolic Blood Pressure ◽  
Television Time ◽  
The Relationship ◽  
Moderating Role

AbstractObjectivesThe combination of sleep duration, television (TV) time and body mass index (BMI) may be related to the alteration of cardiometabolic risk. However, there are few studies that use these variables grouped, and showing the moderating role of age. This study aimed to verify if the combination of sleep duration, TV time and BMI is associated with cardiometabolic risk and the moderating role of age in this relationship in youth.MethodsCross-sectional study conducted with 1411 adolescents (611 male), aged 10–17 years. Sleep duration, TV time and BMI were assessed and grouped into eight categories. Cardiometabolic risk was assessed by a continuous metabolic risk score, including the following variables: low HDL-cholesterol, elevated triglycerides, dysglycemia, high systolic blood pressure, high waist circumference and low cardiorespiratory fitness. Generalized linear models were used to test moderation of age in the relationship between the eight categories of sleep duration/television time/BMI with cardiometabolic risk.ResultsCardiometabolic risk factor showed association with all overweight or obesity independent of sleep time and TV time. Age moderated the relationship between sleep duration/television time/BMI with cardiometabolic risk. This association was stronger in younger adolescents (11 and 13 years), indicating that individuals with inadequate sleep, prolonged TV time and overweight/obesity present higher cardiometabolic risk values when compared to 15-year-old adolescents.ConclusionOverweight/obesity, independently of sleep duration and TV time, is the main risk factor for cardiometabolic disorders in adolescence. When moderated by age, younger adolescents that presented the combination of risk factors had higher cardiometabolic risk.

Pre-pregnancy body mass index is associated with offspring body composition in adulthood before adiposity-related disorders: a retrospective cohort

2020 ◽  
pp. 1-17
Author(s):  
Ilana Eshriqui ◽  
Angélica Marques Martins Valente ◽  
Luciana Dias Folchetti ◽  
Bianca de Almeida-Pititto ◽  
Sandra Roberta G. Ferreira
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Retrospective Cohort ◽  
Statistical Significance ◽  
Directed Acyclic Graphs ◽  
Health Study ◽  
Appendicular Skeletal Muscle ◽  
Three Body

Abstract Objective: To investigate the association between maternal pre-pregnancy body mass index (BMI) and offspring body composition in adulthood. Design: Retrospective cohort. Undergraduates of nutrition or nutritionists were recruited at the baseline of the Nutritionists’ Health Study between 2014 and 2017. Maternal pre-pregnancy BMI and current life aspects were self-reported through online questionnaires. Three body compartments were DXA-determined. The following variables were obtained: body-fat (%), fat mass index (FMI) (kg/m2), android-to-gynoid fat ratio, visceral adipose tissue (VAT) (cm3), appendicular skeletal muscle mass index (ASMI) (kg/m2), total bone and femur mineral content (g) and density (g/cm2). Linear regression adjusted according to directed acyclic graphs recommendation was performed. Setting: São Paulo, Brazil. Participants: Healthy non-pregnant women (aged 20-45 years) (n=150). Results: Median age and BMI were 22 years (IQR=20; 29) and 22.3 kg/m2 (IQR=20.4; 25.3). Pre-pregnancy BMI≥25 kg/m2 was reported by 14.7% of mothers. In fully adjusted models, maternal pre-pregnancy BMI was associated with their daughters’ body-fat % (β=0.31; 95%CI=0.0004; 0.63), FMI (β=0.17; 95%CI=0.03; 0.30, android-to-gynoid ratio (β=0.01; 95%CI=0.004; 0.02) and VAT (β=0.09; 95%CI=0.02; 0.16), but not with total bone density (β=0.001; 95%CI=-0.003; 0.006) and content (β=7.13; 95%CI=-4.19; 18.46). Direct association with ASMI was also detected, but lost statistical significance when participants whose mothers were underweight were excluded. Conclusions: Maternal pre-pregnancy body mass index was directly associated with offspring general and visceral adiposity but seem not to be associated with bone mass. Results reinforce importance of avoiding excess of maternal adiposity, as an attempt to break the vicious cycle of obesity transmission.

Examination of Sleep and Obesity in Children and Adolescents in the United States

2021 ◽  
pp. 089011712110291
Author(s):  
Puneet Kaur Chehal ◽  
Livvy Shafer ◽  
Solveig Argeseanu Cunningham
Keyword(s):  
Body Mass Index ◽  
Children And Adolescents ◽  
Sleep Duration ◽  
Body Mass ◽  
The United States ◽  
Weight Category ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Child Height ◽  
Nationally Representative

Purpose: This study contributes to the growing literature on the association between sleep and obesity by examining the associations between hours of sleep, consistency of bedtime, and obesity among children in the US. Design: Analysis of a nationally representative sample of non-institutionalized children from the 2016-17 National Survey of Children’s Health. Setting: US, national. Subjects: Children ages 10-17 years (n = 34,640) Measures: Parent reported weeknight average hours of sleep and consistency of bedtime. Body mass index classified as underweight, normal, overweight or obesity using parent-reported child height and weight information, classified using CDC BMI-for-Age Growth Charts. Analysis: Multivariate logistic regression models were used to estimate associations between measures of sleep and body mass index weight category adjusting for individual, household and neighborhood characteristics. Results: An additional hour of sleep was associated with 10.8% lower odds of obesity, net of consistency in bedtime. After controlling for sleep duration, children who usually went to bed at the same time on weeknights had lower odds of obesity (24.8%) relative to children who always went to bed at the same time. Conclusion: Sleep duration is predictive of lower odds of obesity in US children and adolescents. Some variability in weeknight bedtime is associated with lower odds of obesity, though there were no additional benefits to extensive variability in bedtime.

scholarly journals Sleep Timing Moderates the Concurrent Sleep Duration–Body Mass Index Association in Low-Income Preschool-Age Children

2014 ◽  
Vol 14 (2) ◽  
pp. 207-213 ◽  
Author(s):  
Alison L. Miller ◽  
Niko Kaciroti ◽  
Monique K. LeBourgeois ◽  
Yu Pu Chen ◽  
Julie Sturza ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
Low Income ◽  
Preschool Age ◽  
Sleep Timing ◽  
Preschool Age Children

Body mass index and risk of mental disorders in the general population: Results from the Singapore Mental Health Study

2013 ◽  
Vol 74 (2) ◽  
pp. 135-141 ◽  
Author(s):  
Mythily Subramaniam ◽  
Louisa Picco ◽  
Vincent He ◽  
Janhavi Ajit Vaingankar ◽  
Edimansyah Abdin ◽  
...  
Keyword(s):  
Mental Health ◽  
Body Mass Index ◽  
General Population ◽  
Mental Disorders ◽  
Body Mass ◽  
Health Study ◽  
Mental Health Study

ASSOCIATION BETWEEN SHORT SLEEP DURATION AND OBESITY IN MEDICAL STUDENTS

2016 ◽  
Vol 10 (1) ◽  
pp. 242 ◽  
Author(s):  
Tapaswini Mishra ◽  
Dipti Mohapatra ◽  
Manasi Behera ◽  
Srimannarayan Mishra
Keyword(s):  
Body Mass Index ◽  
Medical Students ◽  
Waist Circumference ◽  
Sleep Duration ◽  
Body Mass ◽  
Overweight And Obesity ◽  
The Body ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Obese Class

ABSTRACTObjective: Adequate sleep has been considered important for the adolescent’s health and well-being. On the other hand, self-imposed sleepcurtailment is now recognized as a potentially important and novel risk factor for obesity. The objective of the study is to find the association betweenshort sleep duration and obesity (by calculating the body mass index [BMI]) among medical students.Methods: The study was conducted on 100 medical students. A brief history of sleep duration was taken. The height and weight were taken and thebody mass index (BMI) was calculated by formula weight in kg / height in m. Based on the BMI criteria the students were classified into six groups:Underweight, normal, overweight, obese class I, obese class II and obese III. The waist circumference (WC) was also taken. The data obtained werestatistically analysed by ANOVA test and the p < 0.5 was considered significant.2Results: The present cross-sectional study showed that there is an association between short sleep duration and obesity which was highly significant(p<0.001). This study also shows that there is an association between short sleep duration and waist circumference which was also highly significant(p<0.001).Conclusion: The present study observed a high association of short sleep duration among medical students of IMS and SUM Hospital and that shortsleep duration was significantly associated with increased risk of overweight and obesity. We should further investigate whether adults adopting ahealthy lifestyle with short sleep duration would improve their sleeping habits or not.Keywords: Sleep duration, Body mass index, Waist circumference, Obesity.

Habitual sleep duration and sleep duration variation are independently associated with body mass index

2017 ◽  
Vol 42 (4) ◽  
pp. 794-800 ◽  
Author(s):  
X Xu ◽  
M P Conomos ◽  
O Manor ◽  
J E Rohwer ◽  
A T Magis ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass
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