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29-01-2020

Modelling multiple health behavior change with network analyses: results from a one-year study conducted among overweight and obese adults

Tijdschrift:
Journal of Behavioral Medicine
Auteurs:
Guillaume Chevance, Natalie M. Golaszewski, Dario Baretta, Eric B. Hekler, Britta A. Larsen, Kevin Patrick, Job Godino
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Abstract

This study examined the between-person associations of seven health behaviors in adults with obesity participating in a weight loss intervention, as well as the covariations between these behaviors within-individuals across the intervention. The present study included data from a 12-month weight loss trial (N = 278). Seven health behaviors (physical activity, sedentary behavior, sleep duration, and consumption of fruits, vegetables, total fat and added sugar) were measured at baseline, 6- and 12-months. Between- and within-participants network analyses were conducted to examine how these behaviors were associated through the 12-month intervention and covaried across months. At the between-participants level, associations were found within the different diet behaviors and between total fat and sedentary behaviors. At the within-participants level, covariations were found between sedentary and diet behaviors, and within diet behaviors. Findings suggest that successful multiple health behaviors change interventions among adults with obesity will need to (1) simultaneously target sedentary and diet behaviors; and (2) prevent potential compensatory behaviors in the diet domain.

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