1. Longitudinal sedentary behavior changes in adolescents in Ho Chi Minh City.
- Author
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Trang NH, Hong TK, van der Ploeg HP, Hardy LL, Kelly PJ, and Dibley MJ
- Subjects
- Accelerometry, Adolescent, Age Factors, Body Mass Index, Child, Cross-Sectional Studies, Female, Humans, Longitudinal Studies, Male, Risk Factors, Self Report, Sex Factors, Socioeconomic Factors, Vietnam epidemiology, Sedentary Behavior, Urban Population statistics & numerical data
- Abstract
Background: Sedentary behavior is associated with increased risk of chronic disease and sedentary behavior is increasing among adolescents. Data on changes in sedentary behavior in developing countries are limited., Purpose: To describe 5-year longitudinal changes in nonschool sedentary hours among urban adolescents in Ho Chi Minh City, and to identify correlates with this change., Methods: This is a 5-year longitudinal cohort with systematic random sampling of 759 students from 18 junior high schools. All measures were taken annually between 2004 and 2009. Sedentary behavior was assessed by self-report and accelerometry. Generalized linear latent and mixed models were used to analyze the data in 2011., Results: Between 2004 and 2009, self-reported time spent in nonschool sedentary behavior increased from 498 to 603 minutes/day. In the 5th survey year, boys and girls (aged 16 years) were, respectively, 3.6 times (95% CI=2.3, 6.0) and 3.1 times (95% CI= 1.8, 5.0) more likely to spend ≥2 hours/day on screen time compared with baseline (aged 12 years). Accelerometer data adjusted for wearing time revealed that boys and girls aged 16 years had, respectively, 78 minutes/day (95% CI=48, 104) and 69 minutes/day (95% CI=34, 95) more nonschool sedentary time than those at the first accelerometer assessment (at age 13 years). Girls in the highest socioeconomic quartile spent an additional 90 minutes/day in sedentary behavior compared with girls in the lowest quartile (95% CI=52, 128)., Conclusions: Nonschool sedentary behavior increased among Vietnamese adolescents with age. The largest increase was in recreational screen time (28%), which would be the most obvious target for preventive health strategies., (Copyright © 2013 American Journal of Preventive Medicine. All rights reserved.)
- Published
- 2013
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