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Sleep duration or bedtime? Exploring the association between sleep timing behaviour, diet and BMI in children and adolescents
Open accessAbstract
Objective To determine whether sleep timing behaviour is associated with energy intake and diet quality in children and adolescents.Design Cross-sectional analysis of nationally representative survey data.Sample A total of 2200 participants of the 2007 Australian National Children's Nutrition and Physical Activity Survey aged 9-16 years with 2 days of food intake data, 4 days of use of time data and complete anthropometry. Participants were grouped into one of four sleep-wake behaviour categories: early bed-early rise (EE); early bed-late rise (EL); late bed-early rise (LE) and late bed-late rise (LL). The four categories were compared for body mass index (BMI) z-score, energy intake and diet quality assessed using the Dietary Guideline Index for Children and Adolescents. Analyses were adjusted for survey design, sociodemographic characteristics, sleep duration and physical activity level (PAL).Results In adjusted multivariate regression models with sleep timing behaviour group as the independent variable, the 'LL' category compared with the 'EE' category had a higher BMI z-score (β=0.20, 95% confidence interval (CI) 0.06 to 0.34, P=0.007), and lower diet quality (β=-4.0, 95% CI -5.7 to -2.3, P<0.001). Children and adolescents who went to bed late also had a higher intake of extra foods (that is, energy-dense, nutrient-poor foods) while those whom went to bed early consumed more fruit and vegetables. Energy intake was associated with sleep duration (β=-4.5 kJ, 95% CI -6.7 to -2.4, P<0.001), but not sleep timing behaviour.Conclusion Late bedtimes and late wake up times are associated with poorer diet quality, independent of sleep duration, PAL and child and sociodemographic characteristics.
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“Among studies that relied on self-reported measures of sleep duration, shorter sleep durations were associated with greater total energy intake [150, 158, 159, 164, 166, 174], greater fat intake [163, 164], greater carbohydrate intake [158, 164] and greater alcohol intake [159, 160].”
From Association between sleep deficiency and cardiometabolic disease: implications for health disparities (2016) · cites this paper as [174]
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Metadata
- Authors
- Golley, R. K., Maher, C. A., Matricciani, L., & Olds, T. S.
- Affiliations
- University of South Australia (AU)
- Corresponding author
- Golley, R K
- Venue
- International Journal of Obesity
- Published
- 2013-01-08
- Volume
- 37
- Issue
- 4
- Pages
- 546-551
- ISSN
- 0307-0565 (ISSN-L)
- 1476-5497
- OpenAlex
- W2111241081
- Cited by
- 286
- References
- 60
- Citations by year
- 2026: 6 · 2025: 15 · 2024: 13 · 2023: 25 · 2022: 25 · 2021: 29 · 2020: 40 · 2019: 33 · 2018: 22 · 2017: 22 · 2016: 19 · 2015: 18 · 2014: 13 · 2013: 6
- FWCI
- 25.23
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Obesity (publishedVersion)
- PubMed (publishedVersion)
- UniSA Research Outputs Repository (University of South Australia) (acceptedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Funders
- Department of Agriculture, Fisheries and Forestry, Australian Government
- National Health and Medical Research Council (478115)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Keywords
- sleep timing, bedtime, sleep duration, body mass index, childhood obesity, adolescents, energy intake, diet quality, fruit and vegetable intake, physical activity, sleep-wake behavior
- MeSH terms
- Adolescent, Australia, Child, Child Nutritional Physiological Phenomena, Circadian Rhythm, Cross-Sectional Studies, Eating, Feeding Behavior, Female, Humans, Male, Motor Activity, Nutrition Surveys, Nutritional Status, Obesity, Sleep, Social Environment, Body Mass Index
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