학술논문

Modelling multiple health behavior change with network analyses: results from a one-year study conducted among overweight and obese adults.
Document Type
article
Source
Journal of behavioral medicine. 43(2)
Subject
Humans
Fruit
Vegetables
Obesity
Weight Loss
Exercise
Diet
Health Behavior
Adult
Middle Aged
Female
Male
Overweight
Sedentary Behavior
Multiple health behavior change
Network analyses
Weight loss
Clinical Research
Behavioral and Social Science
Mind and Body
Nutrition
Prevention
Prevention of disease and conditions
and promotion of well-being
3.1 Primary prevention interventions to modify behaviours or promote wellbeing
Metabolic and endocrine
Cancer
Oral and gastrointestinal
Stroke
Cardiovascular
Good Health and Well Being
Medical and Health Sciences
Psychology and Cognitive Sciences
Clinical Psychology
Language
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.