Daniel Rodriguez1, Janet Audrain-McGovern. 1. Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. drodrig2@mail.med.upenn.edu
Abstract
OBJECTIVE: To assess the likelihood of smoking among adolescents with different patterns of team sport participation, grades 9-11. METHODS: Adolescents (N = 1098) participating in a longitudinal study of the biobehavioral predictors of smoking adoption completed items assessing various health-related behaviors, including team sport participation and smoking practices. General growth mixture modeling (GGMM) was used to analyze the data. RESULTS: Four patterns of team sport participation were found. Adolescents with decreasing or erratic participation were nearly three times more likely than adolescents with high participation to be current smokers in eleventh grade. Nonwhites were at particular risk for decreasing and erratic patterns of participation, and later smoking. Females were at high risk for low team participation. CONCLUSION: Results suggest that multiple patterns of team sport participation can be identified with GGMM and that these patterns may be useful in characterizing individuals at particular risk for future smoking.
OBJECTIVE: To assess the likelihood of smoking among adolescents with different patterns of team sport participation, grades 9-11. METHODS: Adolescents (N = 1098) participating in a longitudinal study of the biobehavioral predictors of smoking adoption completed items assessing various health-related behaviors, including team sport participation and smoking practices. General growth mixture modeling (GGMM) was used to analyze the data. RESULTS: Four patterns of team sport participation were found. Adolescents with decreasing or erratic participation were nearly three times more likely than adolescents with high participation to be current smokers in eleventh grade. Nonwhites were at particular risk for decreasing and erratic patterns of participation, and later smoking. Females were at high risk for low team participation. CONCLUSION: Results suggest that multiple patterns of team sport participation can be identified with GGMM and that these patterns may be useful in characterizing individuals at particular risk for future smoking.
Authors: Booil Jo; Robert L Findling; Trevor J Hastie; Eric A Youngstrom; Chen-Pin Wang; L Eugene Arnold; Mary A Fristad; Thomas W Frazier; Boris Birmaher; Mary K Gill; Sarah McCue Horwitz Journal: Stat Methods Med Res Date: 2017-01-08 Impact factor: 3.021
Authors: Booil Jo; Robert L Findling; Chen-Pin Wang; Trevor J Hastie; Eric A Youngstrom; L Eugene Arnold; Mary A Fristad; Sarah McCue Horwitz Journal: Stat Med Date: 2016-11-02 Impact factor: 2.373
Authors: Anna M Adachi-Mejia; Brian A Primack; Michael L Beach; Linda Titus-Ernstoff; Meghan R Longacre; Julia E Weiss; Madeline A Dalton Journal: Arch Pediatr Adolesc Med Date: 2009-07