Prediction of attendance at fitness center : a comparison between the theory of planned behavior, the social cognitive theory, and the physical activity maintenance theory
Gespeichert in:
| Deutscher übersetzter Titel: | Vorhersagewahrscheinlichkeit für den Fitnessstudiobesuch : ein Vergleich zwischen der Theorie des geplanten Verhaltens, der sozialen kognitiven Theorie und der Theorie der körperlichen Erhaltungsaktivität |
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| Autor: | Jekauc, Darko; Völkle, Manuel; Wagner, Matthias Oliver; Mess, Filip; Reiner, Miriam; Renner, Britta |
| Erschienen in: | Frontiers in psychology |
| Veröffentlicht: | 6 (2015), Art.-ID 121; [10 S.], Lit. |
| Format: | Literatur (SPOLIT) |
| Publikationstyp: | Zeitschriftenartikel |
| Medienart: | Elektronische Ressource (online) |
| Sprache: | Englisch |
| ISSN: | 1664-1078 |
| DOI: | 10.3389/fpsyg.2015.00121 |
| Schlagworte: | |
| Online Zugang: | |
| Erfassungsnummer: | PU201707005696 |
| Quelle: | BISp |
Abstract des Autors
In the processes of physical activity (PA) maintenance specific predictors are effective, which differ from other stages of PA development. Recently, Physical Activity Maintenance Theory (PAMT) was specifically developed for prediction of PA maintenance. The aim of the present study was to evaluate the predictability of the future behavior by the PAMT and compare it with the Theory of Planned Behavior (TPB) and Social Cognitive Theory (SCT). Participation rate in a fitness center was observed for 101 college students (53 female) aged between 19 and 32 years (M = 23.6; SD = 2.9) over 20 weeks using a magnetic card. In order to predict the pattern of participation TPB, SCT and PAMT were used. A latent class zero-inflated Poisson growth curve analysis identified two participation patterns: regular attenders and intermittent exercisers. SCT showed the highest predictive power followed by PAMT and TPB. Impeding aspects as life stress and barriers were the strongest predictors suggesting that overcoming barriers might be an important aspect for working out on a regular basis. Self-efficacy, perceived behavioral control, and social support could also significantly differentiate between the participation patterns.