Covariance among multiple health risk behaviors in adolescents.

In a diverse group of early adolescents, this study explores the co-occurrence of a broad range of health risk behaviors: alcohol, cigarette, and marijuana use; physical inactivity; sedentary computing/gaming; and the consumption of low-nutrient energy-dense food. We tested differences in the associ...

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Main Authors: Kayla de la Haye, Elizabeth J D'Amico, Jeremy N V Miles, Brett Ewing, Joan S Tucker
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4032285?pdf=render
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spelling doaj-74e0932582014eed85c90c03fbea85d72020-11-24T20:52:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0195e9814110.1371/journal.pone.0098141Covariance among multiple health risk behaviors in adolescents.Kayla de la HayeElizabeth J D'AmicoJeremy N V MilesBrett EwingJoan S TuckerIn a diverse group of early adolescents, this study explores the co-occurrence of a broad range of health risk behaviors: alcohol, cigarette, and marijuana use; physical inactivity; sedentary computing/gaming; and the consumption of low-nutrient energy-dense food. We tested differences in the associations of unhealthy behaviors over time, and by gender, race/ethnicity, and socioeconomic status.Participants were 8360 students from 16 middle schools in California (50% female; 52% Hispanic, 17% Asian, 16% White, and 15% Black/multiethnic/other). Behaviors were measured with surveys in Spring 2010 and Spring 2011. Confirmatory factor analysis was used to assess if an underlying factor accounted for the covariance of multiple behaviors, and composite reliability methods were used to determine the degree to which behaviors were related.The measured behaviors were explained by two moderately correlated factors: a 'substance use risk factor' and an 'unhealthy eating and sedentary factor'. Physical inactivity did not reflect the latent factors as expected. There were few differences in the associations among these behaviors over time or by demographic characteristics.Two distinct, yet related groups of health compromising behaviors were identified that could be jointly targeted in multiple health behavior change interventions among early adolescents of diverse backgrounds.http://europepmc.org/articles/PMC4032285?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Kayla de la Haye
Elizabeth J D'Amico
Jeremy N V Miles
Brett Ewing
Joan S Tucker
spellingShingle Kayla de la Haye
Elizabeth J D'Amico
Jeremy N V Miles
Brett Ewing
Joan S Tucker
Covariance among multiple health risk behaviors in adolescents.
PLoS ONE
author_facet Kayla de la Haye
Elizabeth J D'Amico
Jeremy N V Miles
Brett Ewing
Joan S Tucker
author_sort Kayla de la Haye
title Covariance among multiple health risk behaviors in adolescents.
title_short Covariance among multiple health risk behaviors in adolescents.
title_full Covariance among multiple health risk behaviors in adolescents.
title_fullStr Covariance among multiple health risk behaviors in adolescents.
title_full_unstemmed Covariance among multiple health risk behaviors in adolescents.
title_sort covariance among multiple health risk behaviors in adolescents.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description In a diverse group of early adolescents, this study explores the co-occurrence of a broad range of health risk behaviors: alcohol, cigarette, and marijuana use; physical inactivity; sedentary computing/gaming; and the consumption of low-nutrient energy-dense food. We tested differences in the associations of unhealthy behaviors over time, and by gender, race/ethnicity, and socioeconomic status.Participants were 8360 students from 16 middle schools in California (50% female; 52% Hispanic, 17% Asian, 16% White, and 15% Black/multiethnic/other). Behaviors were measured with surveys in Spring 2010 and Spring 2011. Confirmatory factor analysis was used to assess if an underlying factor accounted for the covariance of multiple behaviors, and composite reliability methods were used to determine the degree to which behaviors were related.The measured behaviors were explained by two moderately correlated factors: a 'substance use risk factor' and an 'unhealthy eating and sedentary factor'. Physical inactivity did not reflect the latent factors as expected. There were few differences in the associations among these behaviors over time or by demographic characteristics.Two distinct, yet related groups of health compromising behaviors were identified that could be jointly targeted in multiple health behavior change interventions among early adolescents of diverse backgrounds.
url http://europepmc.org/articles/PMC4032285?pdf=render
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