Author/Authors :
Farmanbar، R نويسنده Assistant Professor, Department of Health Education and Promotion, School of Health, Social Determinants of Health Research Center (SDHRC), Guilan University of Medical Sciences, Rasht, Iran. , , Dehghankar، L نويسنده MSc in nursing education, Department of Faculty of Nursing and Midwifery Education, Qazvin University of Medical Science and health services, Qazvin, Iran. , , Mirhadian، L نويسنده MSc in nursing education, Department of Faculty of Nursing and Midwifery Education, School of Shahid Beheshti Faculty of nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran. , , Kazemnejad Leili، E نويسنده Assistant Professor, Department of Biostatistics, School of Shahid Beheshti Faculty of nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran , , Emami Sigarodi، A نويسنده Phd in nursing education, Department of Faculty of Nursing and Midwifery Education, School of Shahid Beheshti Faculty of nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran ,
Abstract :
The present study is aimed to determine the physical activity and its related factors based on transtheoretical model in
elderly residents of Guilan province, Iran.
In this study, cross-sectional research design was applied. 262 elderly people were selected using convenience sampling
techniques. Furthermore, the participants were asked to complete a self-administrated questionnaire.
The study was carried out in the active retirement centers located at Rasht, Guilan province, Iran; also, the collected
data belongs to the year 2013. The selected individuals completed questionnaire included with the stages of change,
processes of change, and physical activity scale for elderly questionnaire (PASE). Data were analyzed applying SPSS
V. 16 Software by which the descriptive and analytic statistics were performed.
The result showed that mean PASE score was 119.35 ±51.50. Most of the individuals were in the maintenance stage.
There is a significant difference in the of change during stage of change (P < 0.05). Also, a significant relationships was
found among the physical activity, increasing awareness, self-reevaluation, counter conditioning, reinforcement
management, and stimulus control (P < 0.05). Based on the results from the regression analysis, counter conditioning
and stage of change are in fact the predictors of physical activity behavior. Also indicated that specific factors, counter
conditioning, social liberation, self reevaluation, self-liberation , have important roles in predicting stage of change
physical activity behavior.
Based on the results, it can be concluded that the use of TTM to identify the factors affecting physical activity behavior
and its change in elderly is a promising method which should be taken into account.