Association between adolescents' physical activity and sedentary behaviors with change in BMI and risk of type 2 Diabetes

Lee, Paul H. (2014) Association between adolescents' physical activity and sedentary behaviors with change in BMI and risk of type 2 Diabetes. PLoS ONE, 9 (10), [e110732]. (doi:10.1371/journal.pone.0110732).

Record type: Article

Abstract

This study aims at identifying the association between physical activity (PA) and sedentary behavior (SB) patterns during adolescents on the future increase in BMI and risk of diabetes during young adulthood. A total of 3,717 participants aged 11 to 21 at baseline who completed Waves I (1994-1995), II (1996), III (2001-2002), and IV (2008) surveys of the National Longitudinal Study of Adolescent Health (Add Health) were analyzed. Physical activity and sedentary behavior patterns were assessed using an interviewer-administered questionnaire at Waves I, II, and III. A participant was classified as having diabetes at Wave IV according to WHO guidelines. The k-means cluster analysis was used to identify the number of PA and SB patterns assessed using interviewer-administered questionnaire. The k-means cluster analysis identified three clusters; 575 (15.5%), 2,140 (57.6%), and 1,002 (27.0%) participants belonged to the low PA high SB (LPAHSB), the LPALSB, and the HPALSB cluster respectively. Relative to the LPALSB cluster, the HPALSB cluster had lower increase in BMI from Wave III to Wave IV (P=0.03), whereas the difference between LPAHSB cluster and LPALSB cluster was not significant (P=0.09). The odds of developing diabetes at Wave IV was significant for the LPAHSB cluster (OR=1.69, 95% CI= 1.04, 2.75) but not significant for the HPALSB cluster (OR=0.87, 95% CI=0.52, 1.47) relative to the LPALSB cluster. To conclude, PA but not SB during adolescence predicted change in BMI during young adulthood. SB but not PA during adolescence predicted type 2 diabetes during young adulthood.

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Published date: 23 October 2014

Additional Information: Funding Information: This research uses data from Add Health, a program project directed by Kathleen Mullan Harris and designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris at the University of North Carolina at Chapel Hill, and funded by grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 23 other federal agencies and foundations. Special acknowledgment is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Information on how to obtain the Add Health data files is available on the Add Health website ( http://www.cpc.unc.edu/addhealth ). No direct support was received from grant P01-HD31921 for this analysis. Publisher Copyright: © 2014 Paul H Lee.