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Combined Patterns of Risk for Problem and Obesogenic Behaviors in Adolescents: A Latent Class Analysis Approach
Author(s) -
Fleary Sasha A.
Publication year - 2017
Publication title -
journal of school health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.851
H-Index - 86
eISSN - 1746-1561
pISSN - 0022-4391
DOI - 10.1111/josh.12481
Subject(s) - latent class model , multinomial logistic regression , screen time , adolescent health , logistic regression , health risk , physical activity , health behavior , psychology , developmental psychology , demography , medicine , environmental health , statistics , physical therapy , mathematics , nursing , sociology
BACKGROUND Several studies have used latent class analyses to explore obesogenic behaviors and substance use in adolescents independently. We explored a variety of health risks jointly to identify distinct patterns of risk behaviors among adolescents.METHODS Latent class models were estimated using Youth Risk Behavior Surveillance System ( YRBSS ) 2011 data. Behaviors in the models included substance use, physical fights, physical activity (PA), sedentary activity, sleep, fruit and vegetables (F&V) consumption, and weight‐related variables. Models were estimated separately by sex. Constrained and unconstrained models were computed for race. Age and perceived and calculated weight status were compared among emergent latent classes using latent multinomial logistic regressions.RESULTS Four and 5 latent class solutions emerged for boys and girls, respectively. Healthy, sedentary, and physically active (PA) groups were common in both boys and girls. The sample of boys also included a health risk behavior (HRB)/PA group and the sample of girls included HRB and HRB/F&V groups.CONCLUSIONS The results confirm that obesogenic and HRBs should be conceptualized as combined patterns of risk. Health education programming in schools should adopt a multiple health behavior approach to target the continuum of risks adolescents engage in simultaneously.