| Using compositional data analysis to explore accumulation of sedentary behavior,physical activity and youth health |
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| 作者姓名： | Simone J.J.M.Verswijveren Karen E.Lamb Josep A.Martín-Fernández Elisabeth Winkler Rebecca M.Leech Anna Timperio Jo Salmon Robin M.Daly Ester Cerin David W.Dunstan Rohan M.Telford Richard D.Telford Lisa S.Olive Nicola D.Ridgers |
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| 作者单位： | Institute for Physical Activity and Nutrition;Melbourne School of Population and Global Health;Department of Computer Science;School of Public Health;Mary MacKillop Institute for Health Research;School of Public Health;Baker Heart and Diabetes Institute;Research Institute for Sport and Exercise;School of Psychology;IMPACT Research Institute;ANU Medical School |
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| 摘 要： | Purpose:The study aimed to describe youth time-use compositions,focusing on time spent in shorter and longer bouts of sedentary behavior and physical activity(PA),and to examine associations of these time-use compositions with cardiometabolic biomarkers.Methods:Accelerometer and cardiometabolic biomarker data from 2 Australian studies involving youths 7-13 years old were pooled(complete cases with accelerometry and adiposity marker data,n=782).A 9-component time-use composition was formed using compositional data analysis:time in shorter and longer bouts of sedentary behavior;time in shorter and longer bouts of light-,moderate-,or vigorous-intensity PA;and"other time"(i.e.,non-wear/sleep).Shorter and longer bouts of sedentary time were defined as<5 min and>5 min,respectively.Shorter bouts of light-,moderate-,and vigorous-intensity PA were defined as<1 min;longer bouts were defined as≥1 min.Regression models examined associations between overall time-use composition and cardiometabolic biomarkers.Then,associations were derived between ratios of longer activity patterns relative to shorter activity patterns,and of each intensity level relative to the other intensity levels and"other time",and cardiometabolic biomarkers.Results:Confounder-adjusted models showed that the overall time-use composition was associated with adiposity,blood pressure,lipids,and the summary score.Specifically,more time in longer bouts of light-intensity PA relative to shorter bouts of light-intensity PA was significantly associated with greater body mass index z-score(zBMI)(β=1.79;SE=0.68)and waist circumference(β=18.35,SE=4.78).When each activity intensity was considered relative to all higher intensities and"other time",more time in light-and vigorous-intensity PA,and less time in sedentary behavior and moderate-intensity PA,were associated with lower waist circumference.Conclusion:Accumulating PA,particularly light-intensity PA,in frequent short bursts may be more beneficial for limiting adiposity compared to accumulating the same amount of PA at these intensities in longer bouts.
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| 关 键 词： | Accumulation patterns Cardiometabolic health CHILDREN Compositional data analysis Time-use |
| 收稿时间： | 22 July 2020 |
Using compositional data analysis to explore accumulation of sedentary behavior,physical activity and youth health |
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| Institution: | 1. Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3216, Australia;2. Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC 3053, Australia;3. Department of Computer Science, Applied Mathematics and Statistics, University of Girona, Girona 17003, Spain;4. School of Public Health, University of Queensland, Herston, QLD 4006, Australia;5. Mary MacKillop Institute for Health Research, Australian Catholic University, Fitzroy, VIC 3065, Australia;6. School of Public Health, University of Hong Kong, Hong Kong, China;7. Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia;8. Research Institute for Sport and Exercise, University of Canberra, Bruce, ACT 2617, Australia;9. School of Psychology, Deakin University, Burwood, VIC 3125, Australia;10. IMPACT Research Institute, Deakin University, Burwood, VIC 3125, Australia;11. ANU Medical School, Australian National University, Garran, ACT 2605, Australia |
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| Abstract: | PurposeThe study aimed to describe youth time-use compositions, focusing on time spent in shorter and longer bouts of sedentary behavior and physical activity (PA), and to examine associations of these time-use compositions with cardiometabolic biomarkers.MethodsAccelerometer and cardiometabolic biomarker data from 2 Australian studies involving youths 7–13 years old were pooled (complete cases with accelerometry and adiposity marker data, n = 782). A 9-component time-use composition was formed using compositional data analysis: time in shorter and longer bouts of sedentary behavior; time in shorter and longer bouts of light-, moderate-, or vigorous-intensity PA; and “other time” (i.e., non-wear/sleep). Shorter and longer bouts of sedentary time were defined as <5 min and ≥5 min, respectively. Shorter bouts of light-, moderate-, and vigorous-intensity PA were defined as <1 min; longer bouts were defined as ≥1 min. Regression models examined associations between overall time-use composition and cardiometabolic biomarkers. Then, associations were derived between ratios of longer activity patterns relative to shorter activity patterns, and of each intensity level relative to the other intensity levels and “other time”, and cardiometabolic biomarkers.ResultsConfounder-adjusted models showed that the overall time-use composition was associated with adiposity, blood pressure, lipids, and the summary score. Specifically, more time in longer bouts of light-intensity PA relative to shorter bouts of light-intensity PA was significantly associated with greater body mass index z-score (zBMI) (β = 1.79; SE = 0.68) and waist circumference (β = 18.35, SE = 4.78). When each activity intensity was considered relative to all higher intensities and “other time”, more time in light- and vigorous-intensity PA, and less time in sedentary behavior and moderate-intensity PA, were associated with lower waist circumference.ConclusionAccumulating PA, particularly light-intensity PA, in frequent short bursts may be more beneficial for limiting adiposity compared to accumulating the same amount of PA at these intensities in longer bouts. |
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