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Investigate the factors related to the intention to perform physical activity based on the theory of planned behavior among high school female students of Ahvaz city
Author(s) -
Zahra Baji,
Ghodratollah Shakerinejad,
Masoumeh Tehrani,
Saeedeh Hajinajaf,
Farzaneh Jarvandi
Publication year - 2017
Publication title -
āmūzish va salāmat-i jāmi̒ah/āmūzish va salāmat-i jāmi̒ah
Language(s) - English
Resource type - Journals
eISSN - 2383-2312
pISSN - 2383-2150
DOI - 10.21859/jech.4.3.52
Subject(s) - theory of planned behavior , psychology , promotion (chess) , descriptive statistics , psychological intervention , physical activity , pearson product moment correlation coefficient , variance (accounting) , regression analysis , social psychology , control (management) , developmental psychology , applied psychology , medicine , mathematics , statistics , physical therapy , computer science , law , accounting , psychiatry , politics , political science , business , artificial intelligence
Background and Objective: Physical activity is one of the most important aspects of health promotion and one of the predictors of death and disability worldwide. In this study, we aimed to investigate the factors related to intention to perform physical activity based on the theory of planned behavior among high school female students of Ahvaz city, Iran. Materials and Methods: This descriptive analytical study was performed among 163 high school female students randomly selected from two girls' public schools in Ahvaz, Iran, in 2016. Data were gathered using a questionnaire including demographic characteristics and the theory of planned behavior constructs including attitude, subjective norms, perceived behavior control, and intention. To analyze the data, linear regression analysis and Pearson correlation coefficient were run in SPSS, version 23. Results: The mean age of the participants was 13.76±0.89 years. The regression model showed that the attitude (β=0.46, P<0.001) and perceived behavior control (β=0.15, P<0.05) constructs were predictors of physical activity intention. This model could explain 40% of the variance in physical activity intention. Subjective norms (P<0.057, β=0.14) were not significant predictors of the intention. Conclusion: We recommend using the theory of planned behavior and paying more attention to the attitude construct, as the strongest predictor of intention, in designing educational interventions to promote physical activity among female students.

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