Pilot study testing the effects of a multicomponent intervention for increasing moderate-intensity physical exercise.

contingency management goal setting group contingency monetary incentives running

Journal

Journal of applied behavior analysis
ISSN: 1938-3703
Titre abrégé: J Appl Behav Anal
Pays: United States
ID NLM: 0174763

Informations de publication

Date de publication:
21 Nov 2023
Historique:
received: 10 01 2023
accepted: 03 11 2023
medline: 21 11 2023
pubmed: 21 11 2023
entrez: 21 11 2023
Statut: aheadofprint

Résumé

Physical inactivity has been associated with several health problems, including diabetes, obesity, and heart disease. Although many of these health problems are preventable through regular exercise, a small percentage of the adult population engages in the recommended levels. Reinforcement-based interventions have been implemented successfully to promote physical activity, but studies targeting moderate or vigorous physical exercise using behavior-analytic interventions are scarce. The purpose of the current study was to investigate the feasibility of a multicomponent intervention that provided monetary incentives for increasing running, jogging, or brisk walking distance for five adults. The intervention lasted 6 weeks and comprised weekly goal setting, feedback, public posting, and group contingencies. The results of the study suggest that the intervention may be feasible and effective at increasing moderate physical activity to levels recommended by the federal guidelines, but further research is warranted.

Identifiants

pubmed: 37988237
doi: 10.1002/jaba.1040
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Westfield State University

Informations de copyright

© 2023 Society for the Experimental Analysis of Behavior (SEAB).

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Auteurs

Bryce A Fournier (BA)

Westfield State University, Psychology Department, Westfield, MA, USA.

Leonardo F Andrade (LF)

Westfield State University, Psychology Department, Westfield, MA, USA.

Classifications MeSH