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ORIGINAL ARTICLE
Year : 2019  |  Volume : 10  |  Issue : 1  |  Page : 154

Sociodemographic pattern of physical activity in the Northwest of Iran: Results of the pilot phase of the azar cohort study


1 Department of Radiology and Nuclear Medicine, School of Allied Medical Sciences, Kermanshah University of Medical Sciences, Kermanshah, Iran
2 Tabriz Health Services Management Research Centre, Tabriz University of Medical Sciences, Tabriz, Iran
3 Noncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran
4 Road Traffic Injury Research Center, Tabriz University of Medical Sciences; Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical sciences, Tabriz, Iran

Correspondence Address:
Maryam Mirzaei
Department of Radiology and Nuclear Medicine, School of Allied Medical Sciences, Kermanshah University of Medical Sciences, Kermanshah
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijpvm.IJPVM_472_17

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Background: Sedentary lifestyle plays a key role in the emergence of many noncommunicable diseases. Given the importance of physical activity (PA) in population-based studies, the present study was conducted to investigate the pattern of PA and its correlates in the pilot phase of Azar cohort study. Methods: In the pilot phase of Azar cohort study, 1236 individuals aged 35–70 years in Khameneh, a city in East Azarbaijan, Iran, were invited to participate in the study. A total of 952 individuals completed the overall and the PA questionnaire, a response rate of 82%. The PA level was evaluated using the classified PA questionnaire based on the equivalent metabolic activities. The general linear model was used to determine the factors affecting PA. Results: The overall mean score of PA was 36.54 (standard deviation = 5.3). In multivariate analysis, after adjustment for sociodemographic variables, total PA score was associated with gender (adjusted β = 0.014, confidence interval [CI] 95% = [0.01–0.82]), occupation (adjusted βs ranged over 0.015–0.059, (CI 95% = 0.01–0.079), level of education (adjusted βs ranged over 0.010–0.018, CI 95% = 0.001–0.026). In other word, sex (mean ranged over 35.49–36.81), educational level (mean ranged over 35.01–36.73) and occupation status (mean ranged over 34.62–39.62) were predictors of PA (all P < 0.05). This variable could also predict 20% of the variance of the PA. Conclusions: The current study identifies that gender, occupation and level of education could be factors that influence on PA level in the study population.


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