ArticlePloS one2023
Physical activity, sedentary behaviour, and sleep in the Thai population: A compositional data analysis including 135,824 participants from two national time-use surveys.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Review Article: The effectiveness of school-based interventions for reducing screen time - a systematic review and meta-analysis.Child and adolescent mental health · 2025Pooled it
- Associations of reallocating time between movement behaviours with adiposity and physical fitness among employees: a compositional data analysis.BMC public health · 2025Article
- Smartphone Addiction, Screen Time, and Physical Activity of Different Academic Majors and Study Levels in University Students.International journal of environmental research and public health · 2025Article
- The relationship between sedentary behavior, sleep duration, and sleep disorders: analysis of the 2007-2014 National Health and Nutrition Examination Survey.Frontiers in neurology · 2025Article
- Effects of combined aerobic-resistance training on health-related quality of life and stress in sedentary adults.Frontiers in aging · 2025Article
- Analysing time-use composition as dependent variables in physical activity and sedentary behaviour research: different compositional data analysis approaches.Journal of activity, sedentary and sleep behaviors · 2023Article
- Sedentary behavior is associated with poor sleep quality during the COVID-19 pandemic, and physical activity mitigates its adverse effects.BMC public health · 2023Article
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3 authors.
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Abstract
purposeTo determine the amounts of time spent in physical activity (PA), sedentary behaviour (SB), and sleep in the Thai population, as well as their sociodemographic correlates and changes over time.
methodsWe analysed cross-sectional data collected in a population-representative, stratified random sample of 135,824 Thais aged 10 years and over as part of the two most recent Thai National time-use surveys (2009 and 2015). Daily activities reported by the participants were coded using the International Classification of Activities for Time-Use Statistics (ICATUS) and categorised as PA, SB, or sleep.
resultsIn the latest survey, participants spent on average the largest amount of time sleeping (geometric mean [g] = 9.44 h/day; 95% confidence interval [CI]: 9.42, 9.47), followed by PA (g = 8.60 h/day; 95% CI: 8.55, 8.64) and SB (g = 5.96 h/day; 95% CI: 5.93, 6.00). The time spent in PA was higher on weekdays, while the amounts of SB and sleep were higher on weekends (p < 0.05). Males, older age groups, and unemployed people spent less time in PA and more time in SB, compared with other population groups (p < 0.05). We found a relatively large increase in SB (mean difference [d] = 39.64 min/day; 95% CI: 36.18, 42.98) and decrease in PA (d = 54.33 min/day; 95% CI: -58.88, -49.30) over time. These findings were consistent across most sociodemographic groups, with the most concerning shifts from active to sedentary lifestyle found among people with a higher education degree and on weekends.
conclusionsOur findings revealed a shift to a more sedentary lifestyle in the Thai population. Public health interventions should focus on improving time use among males, older age groups, and unemployed people, while preventing the rapid decrease in PA and increase in SB among those with a higher education degree and on weekends.
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