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Volume 4, Issue 3 (2016)
Health Educ Health Promot 2016, 4(3): 55-62 |
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Received: 2017/07/23 | Accepted: 2016/08/1 | Published: 2017/08/29
Received: 2017/07/23 | Accepted: 2016/08/1 | Published: 2017/08/29
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Prediction of Osteoporosis Preventive Behaviors through the Use of the Health Belief Model (HBM). Health Educ Health Promot 2016; 4 (3) :55-62
URL: http://hehp.modares.ac.ir/article-4-6436-en.html
URL: http://hehp.modares.ac.ir/article-4-6436-en.html
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Abstract (5115 Views)
Aim: Nowadays, life is endangering women’s health, so that without organizational support, women are engaged in unhealthy life styles. Osteoporosis is the most common metabolic bone disease that increases the risk of bone fracture by creating a structural abnormality in the bone. Osteoporosis is a common disease among middle-age and older persons, especially women. Therefore, the necessity of implementing strategic plans to prevent osteoporosis is significantly important. This study was designed to determine the prediction of osteoporosis preventive behaviors using the Health Belief Model (HBM).
Methods: This cross-sectional study was done among 200 women referred to the health centers in Taft in 2016. A stage simple random sampling was used. In order to gather the data a questionnaire consistent with the structures of HBM was used. Data were analyzed using the SPSS v16 and descriptive statistics (frequency, percentage, and mean±SD) and analysis (Linear regression). The significance level was 0.5.
Findings: The mean age of the participants was 53 years. Linear regression analysis showed the perceived awareness among the participants (p> 0.001).
Conclusion: The results showed that HBM is able to predict well the osteoporosis preventive behaviors in women. The findings of this survey confirm the efficiency of HBM in adopting preventive actions of osteoporosis.
Methods: This cross-sectional study was done among 200 women referred to the health centers in Taft in 2016. A stage simple random sampling was used. In order to gather the data a questionnaire consistent with the structures of HBM was used. Data were analyzed using the SPSS v16 and descriptive statistics (frequency, percentage, and mean±SD) and analysis (Linear regression). The significance level was 0.5.
Findings: The mean age of the participants was 53 years. Linear regression analysis showed the perceived awareness among the participants (p> 0.001).
Conclusion: The results showed that HBM is able to predict well the osteoporosis preventive behaviors in women. The findings of this survey confirm the efficiency of HBM in adopting preventive actions of osteoporosis.
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