ArticleNature and science of sleep2022
The Sleep-Obesity Nexus: Assessment of Multiple Sleep Dimensions and Weight Status Among Victorian Primary School Children.
Article in Nature and science of sleep, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- [Strategies for Weight Management in Children and Adolescents: Self-Regulated Nutrition, Family-School Collaboration, and Social Environment Optimization].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Article
- Association between the weight-adjusted-waist index and circadian syndrome in findings from a nationwide study.Scientific reports · 2024Article
- Associations between 24-h movement behaviours and BMI in Chinese primary- and middle- school students.Journal of exercise science and fitness · 2023Article
- Association between sleep duration and latency, nocturnal awakenings, and body mass index among infants.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2023Article
- Dietary and Activity Factors Influence Poor Sleep and the Sleep-Obesity Nexus among Children.International journal of environmental research and public health · 2019Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To examine the association between sleep and weight status across multiple dimensions of sleep (duration, efficiency, quality and timing) and assess the cumulative influence of these dimensions on the overall sleep-obesity association. Participants and Methods: Cross-sectional data from 2253 students aged 8.8 to 13.5 years participating in two monitoring studies across regional Victoria was analyzed. Students were invited to have measures of height and weight taken and to complete a self-report electronic questionnaire on demographic characteristics and health behaviors. Logistic regression models were used to assess association between sleep dimensions and BMI z-scores. Results: Beyond sleep duration, poor perceived sleep quality, delayed sleep initiation, later bed times and sleep-wake timing, all significantly increased the odds of overweight/obesity (OR 1.47, 95% CI: 1.07-2.01; OR 1.25, 95% CI: 1.02-1.55; and OR 1.70. 95% CI: 1.28-2.28, respectively). Additionally, a cumulative effect of having multiple poorly scored sleep dimensions was found, where four or more poorly scored sleep dimensions more than doubled the odds of overweight/obesity among children (OR 2.25, 95% CI: 1.41-3.58). Conclusion: This study highlights the importance of measuring and considering multiple dimensions of sleep, along with the individual and additive influence of the sleep dimension on the sleep-obesity nexus.
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