scholarly journals Direct and Indirect Relationships Between Impaired Sleep, Obesity Risk Factors and Overweight and Obesity

2022 ◽  
Author(s):  
Shireen Walid Eid ◽  
Rhonda Francis Brown ◽  
Carl Laird Birmingham ◽  
Shane k. Maloney
Keyword(s):  
Risk Factors ◽  
Sleep Disturbances ◽  
Electronic Device ◽  
Male Gender ◽  
Obesity Risk ◽  
Affective Distress ◽  
Night Eating ◽  
Obesity Risk Factors ◽  
Device Use ◽  
Impaired Sleep

Abstract PurposeThe relationship between impaired sleep and overweight/obesity may be explained by sleep-disrupting behaviour that are practised by overweight people (e.g. night-eating, insufficient physical activity [PA], electronic device use) and stress/affective distress. Thus, we evaluated whether sleep parameters predicted overweight/obesity after taking into account the behaviour and affective state.MethodsOnline questionnaires asked about sleep quality, night-eating, PA, electronic device use and stress/affective distress at T1 (baseline) and T2 (3-months later). Height, weight and waist and hip circumference were measured. PA and sleep were assessed over 24-hours on two occasions using actigraphy in 161 participants at T1 and T2.ResultsAt T1, high body mass index (BMI)/waist-to-hip ratio (WHR) and obesity category were together related to more sleep disturbances (subjective) and longer awake time (objective), after controlling covariates (e.g. watching TV) and demographics (e.g. older age, male gender). At T2, high WHR was predicted by older age and male gender after controlling T1 WHR, demographics and covariates. Mediational analyses showed that sleep disturbances mediated nocturnal indigestion (NI) to BMI, poor subjective sleep quality mediated NI to WHR and high daytime dysfunction mediated NI to obesity category relationships.ConclusionMore time spent awake during the night (experienced as more sleep disturbances) was related to overweight/obesity indices even after taking into account other obesity risk factors (e.g. night-eating, insufficient PA, affect) and demographics. Mediational results suggest that NI parsimoniously explained the impaired sleep - overweight/obesity relationship.Level of Evidence: Level III, evidence obtained from well-designed cohort.

scholarly journals Night-eating, Overweight/obesity and Sleep Quality

2022 ◽  
Author(s):  
Shireen Walid Eid ◽  
Rhonda Brown ◽  
Shane Maloney ◽  
Carl Laird Birmingham
Keyword(s):  
Physical Activity ◽  
Alcohol Use ◽  
Sleep Quality ◽  
Electronic Device ◽  
Affective Distress ◽  
Body Fatness ◽  
Night Eating ◽  
T1 And T2 ◽  
Device Use ◽  
High Bmi

Abstract PurposeImpaired sleep has been reported to be a consequence of overweight/obesity. However, sleep-disrupting behaviour that tend to coexist with overweight/obesity are also independent risk factors for impaired sleep such as night-eating, alcohol use, insufficient physical activity (PA), electronic device use and stress/affective distress. Thus, it is unclear whether night-eating and measures of body fatness will still predict sleep quality once concurrent behaviour and affective state are taken into account. MethodsOnline questionnaires asked participants about sleep quality, night-eating, alcohol use, electronic device use and stress/affective distress at T1 (baseline) and T2 (3-months later). Height, weight and waist and hip circumference was measured at T1 and objective physical activity (PA) was assessed over 24-hours (using actigraphy) in 161 participants at T1 and T2. ResultsAt T1, night-eating was related to poorer subjective sleep quality, longer sleep onset latency, lower sleep efficacy, more sleep disturbances and daytime dysfunction and obesity category was related to daytime dysfunction after controlling demographics and covariates. At T2, high BMI predicted lower sleep efficacy after controlling T1 sleep components, demographics and covariates. ConclusionNight-eating and obesity category were associated with multiple impairments in sleep quality, but only high BMI predicted sleep quality at T2. Thus, night-eating and measures of body fatness predicted sleep quality components at T1 and T2 even after co-existing behaviour and emotional states were taken into account.Level of EvidenceLevel III, evidence obtained from well-designed cohort.

Optimism and Obesity Risk Factors in Middle Aged Latinas

2006 ◽  
Author(s):  
Virginia E. Ferent ◽  
Karla Espinosa De Los Monteros ◽  
Gregory Talavera ◽  
Linda C. Gallo
Keyword(s):  
Risk Factors ◽  
Obesity Risk ◽  
Middle Aged ◽  
Obesity Risk Factors

scholarly journals Effects of the coronavirus disease 2019 pandemic and the policy response on childhood obesity risk factors: Gender and sex differences and recommendations for research

2021 ◽  
Author(s):  
Veronika Knebusch ◽  
Julianne Williams ◽  
Isabel Yordi Aguirre ◽  
Martin W. Weber ◽  
Ivo Rakovac ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sex Differences ◽  
Childhood Obesity ◽  
Policy Response ◽  
Obesity Risk ◽  
Obesity Risk Factors

scholarly journals Random forest analysis in identifying the importance of obesity risk factors

2013 ◽  
Vol 23 (suppl_1) ◽  
Author(s):  
N Kanerva ◽  
M Erkkola ◽  
J Nevalainen ◽  
S Männistö
Keyword(s):  
Risk Factors ◽  
Random Forest ◽  
Obesity Risk ◽  
Random Forest Analysis ◽  
Obesity Risk Factors

Childhood obesity: risk factors, prevention and management

2014 ◽  
Vol 27 (5) ◽  
pp. 411-412 ◽  
Author(s):  
S. C. Langley-Evans ◽  
V. H. Moran
Keyword(s):  
Risk Factors ◽  
Childhood Obesity ◽  
Obesity Risk ◽  
Obesity Risk Factors

Obesity risk factors in American Indians and Alaska Natives: a systematic review

Public Health ◽  
2019 ◽  
Vol 174 ◽  
pp. 85-96 ◽  
Author(s):  
A. Zamora-Kapoor ◽  
K. Sinclair ◽  
L. Nelson ◽  
H. Lee ◽  
D. Buchwald
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
American Indians ◽  
Alaska Natives ◽  
Obesity Risk ◽  
Obesity Risk Factors

Overweight and obesity risk factors in children aged 3–7 years: a prospective study in the city of Kraków

2017 ◽  
Vol 44 (8) ◽  
pp. 693-703
Author(s):  
Małgorzata Kowal ◽  
Stanisław Matusik ◽  
Maciej Wojciech Pilecki ◽  
Łukasz Kryst ◽  
Jan Sobiecki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Prospective Study ◽  
Overweight And Obesity ◽  
Obesity Risk ◽  
Obesity Risk Factors ◽  
A Prospective Study ◽  
The City

scholarly journals Prevention Across the Spectrum: a randomized controlled trial of three programs to reduce risk factors for both eating disorders and obesity

2014 ◽  
Vol 45 (9) ◽  
pp. 1811-1823 ◽  
Author(s):  
S. M. Wilksch ◽  
S. J. Paxton ◽  
S. M. Byrne ◽  
S.B. Austin ◽  
S. A. McLean ◽  
...  
Keyword(s):  
Risk Factors ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Control Group ◽  
Obesity Risk ◽  
Randomized Controlled ◽  
Obesity Risk Factors ◽  
Clinically Significant ◽  
Perceived Pressure

BackgroundA randomized controlled trial of three school-based programs and a no-intervention control group was conducted to evaluate their efficacy in reducing eating disorder and obesity risk factors.MethodA total of 1316 grade 7 and 8 girls and boys (mean age = 13.21 years) across three Australian states were randomly allocated to: Media Smart; Life Smart; the Helping, Encouraging, Listening and Protecting Peers (HELPP) initiative; or control (usual school class). Risk factors were measured at baseline, post-program (5 weeks later), and at the 6- and 12-month follow-ups.ResultsMedia Smart girls had half the rate of onset of clinically significant concerns about shape and weight than control girls at the 12-month follow-up. Media Smart and HELPP girls reported significantly lower weight and shape concern than Life Smart girls at the 12-month follow-up. Media Smart and control girls scored significantly lower than HELPP girls on eating concerns and perceived pressure at the 6-month follow-up. Media Smart and HELPP boys experienced significant benefit on media internalization compared with control boys and these were sustained at the 12-month follow-up in Media Smart boys. A group × time effect found that Media Smart participants reported more physical activity than control and HELPP participants at the 6-month follow-up, while a main effect for group found Media Smart participants reported less screen time than controls.ConclusionsMedia Smart was the only program to show benefit on both disordered eating and obesity risk factors. Whilst further investigations are indicated, this study suggests that this program is a promising approach to reducing risk factors for both problems.

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