Population Attributable Fraction for Cardiovascular Diseases Risk Factors in Selected Countries: A comparative study.
| Autor: | Pirani N; School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran., Khiavi FF; Social Determinants of Health Research Center (SDHRC), School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. |
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| Jazyk: | angličtina |
| Zdroj: | Materia socio-medica [Mater Sociomed] 2017 Mar; Vol. 29 (1), pp. 35-39. |
| DOI: | 10.5455/msm.2017.29.35-39 |
| Abstrakt: | Background: Cardiovascular diseases are the most common cause of death. The prevalence of cardiovascular diseases was reported to be 3,500 per 100,000. And it is predicted that these numbers will increase in the near future. By removing the main factors responsible for non-communicable diseases, cardiovascular disease can be prevented by 80%. Aim: The aim of this study was to compare the population attributable fraction for cardiovascular diseases' risk factors in Iran, USA and Spain. Methods: This study was a comparative study and the population consisted of Iran, USA and Spain. The required information was collected from printed and electronic documentations and articles published in reliable databases, in the period 2007-2015. Results: The cardiovascular diseases' Population Attributable Risk or Fraction for blood pressure was calculated to be 11.37%, 54% and 60%, diabetes 7.32%, 13% and 18%, and high cholesterol 6.85%, 13% and 20%, for Iran, USA and Spain respectively. Among risk factors, blood pressure was the most relevant factor to cardiovascular disease. Conclusions: The risk factor for high blood pressure had a more population attributable fraction than other physiological factors in the development of cardiovascular disease. Hence, by implementing comprehensive health policies, educating healthy lifestyle, screening and finding related cases as well as conducting health promotion programs, these diseases can be prevented. Competing Interests: • Conflict of interest: none declared. |
| Databáze: | MEDLINE |
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