Predictors of physical activity among women in Bojnourd, north east of Iran: Pender's health promotion model.

Seyedeh Belin Tavakoly Sany, Mohammad Vahedian Shahroodi, Zahra Hosseini Khaboshan, Arezoo Orooji, Habibollah Esmaeily, Alireza Jafari, Mohammad Tajfard
Author Information
  1. Seyedeh Belin Tavakoly Sany: Department of Health Education and Health Promotion, Faculty of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
  2. Mohammad Vahedian Shahroodi: Department of Health Education and Health Promotion, Faculty of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
  3. Zahra Hosseini Khaboshan: Department of Health Education and Health Promotion, Faculty of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
  4. Arezoo Orooji: Department of Epidemiology and Biostatistics, Faculty of Health sciences, Mashhad University of Medical Sciences, Mashhad, Iran.
  5. Habibollah Esmaeily: Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
  6. Alireza Jafari: Department of Health Education and Health Promotion, School of Health, Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
  7. Mohammad Tajfard: Department of Health Education and Health Promotion, Faculty of Health, Mashhad University of Medical Sciences, Mashhad, Iran. tajfardm@mums.ac.ir. ORCID

Abstract

BACKGROUND: This study examined how socio-demographic characteristics constructs derived from the health promotion model (HPM) influence the level of physical activity (PA) women in Bojnourd, North East of Iran.
METHOD: This cross-sectional study has been carried out through multi-stage sampling design on 356 women aged 18-60 years living in Iran. Data was collected through reliable and valid questionnaire survey women who were selected from their homes.
RESULTS: Most of participants (53.40%) had a low level of physical activity behaviors with minimal physical activity (PA) scores. Using regression analysis showed that 23.22% of the total variance in PA behaviors was predicted by socio-demographic variables, whilst 40.81% of the variance in PA behaviors was predicted by constructs from the HPM. The results from Path modeling indicated that prior behavior, interpersonal influences, perceived self-efficacy, perceived barriers and commitment to PA, were significant predictors for PA behaviors with 86.93% of total effects on PA, whereas, activity-related affect and situational influences had no significant effect on the PA behaviors.
CONCLUSIONS: We found that constructs derived from the HPM are determinants of PA among Iranian women and may be important in developing educational intervention programs to facilitate a physically active lifestyle in this population.

Keywords

References

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Word Cloud

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