scholarly journals 0888 Sleep Duration And Diabetes In The Us For 2007–2015: Moderation By Age, Sex, Race/ethnicity, And Body Mass Index

SLEEP ◽  
2018 ◽  
Vol 41 (suppl_1) ◽  
pp. A330-A330
Author(s):  
O Liang ◽  
A Seixas ◽  
W Killgore ◽  
J Gehrels ◽  
P Alfonso-Miller ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
The Us ◽  
Race Ethnicity

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.

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

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

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 Body Mass Index and Depressive Symptoms: Testing for Adverse and Protective Associations in Two Twin Cohort Studies

2016 ◽  
Vol 19 (4) ◽  
pp. 306-311 ◽  
Author(s):  
Markus Jokela ◽  
Venla Berg ◽  
Karri Silventoinen ◽  
G. David Batty ◽  
Archana Singh-Manoux ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Depressive Symptoms ◽  
Cohort Studies ◽  
Body Mass ◽  
Genetic Model ◽  
The United States ◽  
Population Based ◽  
The Us ◽  
Mz Twins ◽  
Pair Analysis

Studies have suggested both adverse and protective associations of obesity with depressive symptoms. We examined the contribution of environmental and heritable factors in this association. Participants were same-sex twin pairs from two population-based twin cohort studies, the Older Finnish Twin Cohort (n = 8,215; mean age = 44.1) and the US Midlife Development in the United States (MIDUS; n = 1,105; mean age = 45.1). Body mass index (BMI) was calculated from self-reported height and weight. Depressive symptoms were assessed using Beck's Depression Inventory (BDI; Finnish Twin Cohort), and by negative and positive affect scales (MIDUS). In the Finnish Twin Cohort, higher BMI was associated with higher depressive symptoms in monozygotic (MZ) twins (B = 2.01, 95% CI = 1.0, 3.0) and dizygotic (DZ) twins (B = 1.17, 0.5, 1.9) with BMI >22. This association was observed in within-pair analysis in DZ twins (B = 1.47, CI = 0.4, 2.6) but not in within-pair analysis of MZ twins (B = 0.03, CI = -1.9, 2.0). Consistent with the latter result, a bivariate genetic model indicated that the association between higher BMI and higher depressive symptoms was largely mediated by genetic factors. The results of twin-pair analysis and bivariate genetic model were replicated in the MIDUS sample. These findings suggest an association between obesity and higher depressive symptoms, which is largely explained by shared heritable biological mechanisms.

scholarly journals Assessing potential shared genetic aetiology between body mass index and sleep duration in 142,209 individuals

2018 ◽  
Vol 43 (2) ◽  
pp. 207-214 ◽  
Author(s):  
Victoria Garfield ◽  
Ghazaleh Fatemifar ◽  
Caroline Dale ◽  
Melissa Smart ◽  
Yanchun Bao ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
Shared Genetic
Sign in / Sign up

Export Citation Format

Share Document