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Evaluating the Utility of Temporal Self-regulation Theory for Understanding Physical Activity Outcomes in a Behavioral Weight Loss Maintenance Program

Overview
Journal Psychol Health
Publisher Routledge
Specialty Psychology
Date 2024 May 9
PMID 38720583
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Abstract

Objective: Physical activity (PA) is critical for weight loss maintenance (WLM) success. Clarifying mechanisms behind PA engagement may suggest new WLM intervention targets. This study examined an application of temporal self-regulation theory (TST) to enhance our understanding of PA during WLM.

Methods And Measures: Participants ( = 214) who achieved a ≥ 5% weight loss during a 4-month weight loss intervention were recruited into an 18-month WLM trial. TST constructs (i.e. PA beliefs, intention, behavioral prepotency, self-regulatory capacity) were measured self-report measures. PA was subsequently assessed over a 7-day period with waist-worn Actigraph GT9X. Robust linear regression models and generalized linear mixed models tested the association between PA beliefs and intention, and the associations between intention, behavioral prepotency, self-regulatory capacity and device-measured PA at baseline and 18-months.

Results: Short-term positive beliefs were associated with intention at baseline and 18-months, whereas short-term negative beliefs were associated with intention at 18-months only. Intention was associated with moderate/vigorous PA (MVPA) minutes and bouted MVPA at baseline and 18-months. The intention by self-regulatory capacity interaction was significant at baseline.

Conclusion: Findings lend some support for the use of TST for understanding PA and suggest that short-term beliefs about PA may represent a meaningful target for intervention.

References
1.
Moran A, Mullan B . Exploring temporal self-regulation theory to predict sugar-sweetened beverage consumption. Psychol Health. 2020; 36(3):334-350. DOI: 10.1080/08870446.2020.1774055. View

2.
Tangney J, Baumeister R, Boone A . High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. J Pers. 2004; 72(2):271-324. DOI: 10.1111/j.0022-3506.2004.00263.x. View

3.
Rebar A, Dimmock J, Jackson B, Rhodes R, Kates A, Starling J . A systematic review of the effects of non-conscious regulatory processes in physical activity. Health Psychol Rev. 2016; 10(4):395-407. DOI: 10.1080/17437199.2016.1183505. View

4.
Pfeffer I, Strobach T . Physical activity automaticity, intention, and trait self-control as predictors of physical activity behavior - a dual-process perspective. Psychol Health Med. 2020; 27(5):1021-1034. DOI: 10.1080/13548506.2020.1842472. View

5.
Liddelow C, Mullan B, Boyes M . Understanding the predictors of medication adherence: applying temporal self-regulation theory. Psychol Health. 2020; 36(5):529-548. DOI: 10.1080/08870446.2020.1788715. View