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Submitted: 27 May 2020
Accepted: 29 Oct 2020
ePublished: 30 Jun 2021
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J Educ Community Health. 2021;8(2): 89-96.
doi: 10.52547/jech.8.2.89

Scopus ID: 85112491118
  Abstract View: 853
  PDF Download: 317

Physical Activity

Research Article

Physical Activity Determinants of Female Teachers in Rasht County, Iran; Applying the Social Cognitive Theory

Rogheyeh Ashouri-Ahmadgoorabi 1 ORCID logo, Nooshin Rouhani-Tonekaboni 2* ORCID logo, Parisa Kasmaei 1, Maryam Shakiba 3, Tahereh Kamalikhah 4

1 Department of Health Education and Promotion, School of Health, Guilan University of Medical Sciences, Rasht, Iran
2 "Department of Health Education and Promotion, School of Health" and "Research Center of Health and Environment", Guilan University of Medical Sciences, Rasht, Iran
3 "Cardiovascular Diseases Research Center" and "Department of Epidemiology and Biostatistics, School of Health", Guilan University of Medical Sciences, Rasht, Iran
4 Department of Health Education and Promotion, School of Nutrition, Semnan University of Medical Sciences, Semnan, Iran
*Corresponding Author: Email: rouhani.phd@gmail.com

Abstract

Aims: Inactivity among Iranian women is higher than in Iranian men. Since teachers are exposed to occupational damages, it is necessary to consider physical activity in teachers. The Social-Cognitive Theory (SCT) is a useful framework for understanding physical activity behavior. Therefore, the present research was aimed to determine physical activity determinants in female teachers based on SCT.

Instrument & Methods: This analytic-cross sectional study was performed on 612 female schoolteachers of all educational levels of urban and rural areas of Rasht County using multi-stage random sampling in the 2019- 2020 academic years. The data collection instruments included demographic information, International Physical Activity Questionnaire– Short Form, and Social Cognitive Theory Questionnaire. In order to analyze the data, I used Independent Samples t-test, Analysis of Variance, Spearman Correlation Coefficient, and Multiple Linear Regression tests in SPSS 21 software.

Findings: The age average of the teachers was 40.25±7.65. Of the total, 331 teachers (54.1%) had light physical activity (0-599 MET minutes/week). It observed the most direct correlation between self-efficacy (r=0.439) and exercise planning (r=0.513) with physical activity behavior. Constructs of exercise Planning (B=0.34, p=0.001) and Self-Efficacy (B=0.14, p=0.003) were the most significant predictors of physical activity and accounted for 17% and 12% of the variance, respectively.

Conclusion: Constructs of exercise Planning and Self-Efficacy were the most important predictors of physical activity that can be used in designing interventions to promote physical activity in teachers.

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