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Predictive Utility of the Multi-Process Action Control Framework for Self-Reported and Device-Measured Physical Activity Behavior of Adolescents

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Date 2024 Sep 28
PMID 39336056
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Abstract

Understanding the correlates of physical activity behavior is imperative for informing the development of interventions to address the low rates of physical activity guideline adherence among adolescents living in the United States. This cross-sectional study examined the predictive utility of the Multi-Process Action Control (M-PAC) framework for explaining self-reported and device-measured physical activity behavior among a Hispanic-majority sample of adolescents. A total of 1849 high school students (mean age = 16.0 ± 1.22 SD years; 52.3% women; 87.8% Hispanic) enrolled in one school district in south-central Texas completed a survey including instruments to assess M-PAC framework constructs (instrumental and affective attitudes, perceived capability and opportunity, behavioral regulation, habit, identity) and moderate-to-vigorous physical activity (MVPA) behavior. A subsample ( = 435) wore accelerometers for seven days. The results from robust linear regression models revealed role identity and habit were significant predictors of self-reported MVPA. Role identity was a significant predictor of accelerometer-derived daily MVPA and raw acceleration in the most active hour but not daily raw acceleration. The findings indicated reflexive processes are robust predictors of adolescent physical activity and should be the focus of interventions designed to promote adoption and maintenance of physical activity during this developmental life stage.

References
1.
Rhodes R, Beauchamp M, Quinlan A, Downs D, Warburton D, Blanchard C . Predicting the physical activity of new parents who participated in a physical activity intervention. Soc Sci Med. 2021; 284:114221. DOI: 10.1016/j.socscimed.2021.114221. View

2.
White I, Royston P, Wood A . Multiple imputation using chained equations: Issues and guidance for practice. Stat Med. 2011; 30(4):377-99. DOI: 10.1002/sim.4067. View

3.
Rhodes R . Multi-Process Action Control in Physical Activity: A Primer. Front Psychol. 2022; 12:797484. PMC: 8714894. DOI: 10.3389/fpsyg.2021.797484. View

4.
Porter C, Kwan M, Meca A, Brown D . Exercise identity and physical activity behavior during late adolescence: A four wave cross-lagged panel model. Psychol Sport Exerc. 2024; 73:102641. DOI: 10.1016/j.psychsport.2024.102641. View

5.
Lee P, Macfarlane D, Lam T, Stewart S . Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act. 2011; 8:115. PMC: 3214824. DOI: 10.1186/1479-5868-8-115. View