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High calorie, low nutrient food/beverage intake and video gaming in children as potential signals for addictive behavior.


ABSTRACT: Little is known about the co-occurrence of health risk behaviors in childhood that may signal later addictive behavior. Using a survey, this study evaluated high calorie, low nutrient HCLN intake and video gaming behaviors in 964 fourth grade children over 18 months, with stress, sensation-seeking, inhibitory control, grades, perceived safety of environment, and demographic variables as predictors. SEM and growth curve analyses supported a co-occurrence model with some support for addiction specificity. Male gender, free/reduced lunch, low perceived safety and low inhibitory control independently predicted both gaming and HCLN intake. Ethnicity and low stress predicted HCLN. The findings raise questions about whether living in some impoverished neighborhoods may contribute to social isolation characterized by staying indoors, and HCLN intake and video gaming as compensatory behaviors. Future prevention programs could include skills training for inhibitory control, combined with changes in the built environment that increase safety, e.g., implementing Safe Routes to School Programs.

SUBMITTER: Pentz MA 

PROVIDER: S-EPMC3290975 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature

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High calorie, low nutrient food/beverage intake and video gaming in children as potential signals for addictive behavior.

Pentz Mary Ann MA   Spruijt-Metz Donna D   Chou Chih Ping CP   Riggs Nathaniel R NR  

International journal of environmental research and public health 20111129 12


Little is known about the co-occurrence of health risk behaviors in childhood that may signal later addictive behavior. Using a survey, this study evaluated high calorie, low nutrient HCLN intake and video gaming behaviors in 964 fourth grade children over 18 months, with stress, sensation-seeking, inhibitory control, grades, perceived safety of environment, and demographic variables as predictors. SEM and growth curve analyses supported a co-occurrence model with some support for addiction spec  ...[more]

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