ArticlePloS one2024
Clusters of diet, physical activity, screen-time and sleep among adolescents and associations with 3-year change in indicators of adiposity.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Physical Activity-Sedentary Behaviour Profiles and Co-Occurring Lifestyle Behaviours Among Adolescents: A Person-Oriented Analysis.Nutrients · 2026Article
- Is there an association between dietary fiber intake, screen time, and physical activity among students aged 14 to 17 years?-a cross-sectional study.Translational pediatrics · 2026Article
- Physical Activity-Sedentary Behaviour Profiles and Associated Lifestyle Characteristics in Adolescents: A Cross-Sectional Study.Nutrients · 2026Article
- Association of Sleep Duration and Physical Activity with Healthy Eating Habits Among Peruvian Secondary School Students.Nutrients · 2026Observational
- Shared Behavioural Determinants of Short Sleep and Obesity From Childhood to Adolescence: An Analyses of Growing Up in Scotland Birth Cohort 1.Pediatric obesity · 2026Observational
- Discrepancies in reporting lifestyle and dietary habits by children and parents and their association with anthropometric parameters in 10-12-year-old Polish students: a cross-sectional study.Scientific reports · 2026Article
- Prevalence of overweight and obesity and their associations with lifestyle habits among late adolescents in the Northern Border Region of Saudi Arabia: a cross‑sectional study.BMC public health · 2026Article
- Internet addiction and appearance anxiety among university students in Shanghai: upward social comparison as a mediator and autonomous participation in physical activity as a moderator.Frontiers in public health · 2026Article
- Lower adherence to healthy lifestyle is associated with increased adiposity and cardiovascular risk in youth.Frontiers in nutrition · 2026Article
- The Relationship of Fatty Food Consumption, History of Disease, and Physical Activity With the Event of Adolescent Obesity in Indonesia.Journal of nutrition and metabolism · 2026Article
- Article
- Lifestyle Behavior Patterns and Their Association with Active Commuting to School Among Spanish Adolescents: A Cluster Analysis.Healthcare (Basel, Switzerland) · 2025Article
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Authors and funding
5 authors.
Funding
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Abstract
backgroundClusters of health behaviours could impact changes in adiposity among adolescents over time. This study examines the clustering of screen time, physical activity, dietary behaviours and sleep, and the associations with 3-year changes in indicators of adiposity.
methodsData from the UK's Millennium Cohort Study were utilised when participants were aged 14 and 17 years respectively. At age 14, demographics, screen time, dietary behaviours and sleep duration were measured via self-report, and physical activity using wrist worn accelerometers. Height, weight, and percent body fat were measured at age 14 and 17 years. Behavioural clusters were determined using k-means clustering analysis, and associations with change in indicators of adiposity between age 14 and 17 years were examined using multivariate regression models.
resultsThree clusters were identified at age 14, a 'healthy cluster', a 'mixed cluster', and an 'unhealthy cluster' in the analytical sample of 3,065 participants (52.5% girls). The 'unhealthy' cluster was the most prevalent cluster among boys (53%), while the 'healthy cluster' was most prevalent among girls (55.9%). Adolescents in healthy clusters had a lower BMI z-score and percent body fat at age 14 compared to those in the unhealthy and mixed clusters, and maintained lower scores at age 17. Boys in the mixed and unhealthy clusters at 14 years had a lower change in BMI z-score between 14 and 17 compared to boys in the healthy cluster.
conclusionAdolescents in the healthy cluster had lower BMI z-scores and percent body fat at age 14 years than those in the unhealthy cluster, and they maintained this lower level at age 17. Given the upward trend in BMI during this period, this maintenance could be interpreted as a positive outcome. Further prospective research is needed to better understand these associations as well as research examining the stability of cluster membership over time.
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