The Risk Factors for Undiagnosed and Known Hypertension among Malaysians.
| Autor: | Lim OW; Malaysia Foundation Programme, Heriot-Watt University Malaysia, Putrajaya, Malaysia., Yong CC; Faculty of Economics and Administration University of Malaya, Kuala Lumpur, Malaysia. |
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| Jazyk: | angličtina |
| Zdroj: | The Malaysian journal of medical sciences : MJMS [Malays J Med Sci] 2019 Sep; Vol. 26 (5), pp. 98-112. Date of Electronic Publication: 2019 Nov 04. |
| DOI: | 10.21315/mjms2019.26.5.9 |
| Abstrakt: | Background: The prevalence of known hypertension has resulted from the progression of undiagnosed hypertension. This study is targeted to examine and compare the risk factors based on the estimated odds ratios of modifiable and non-modifiable risk factors on different outcome levels of hypertension. Methods: A nationwide representative secondary data from the Fourth National Health of Morbidity Survey (NHMS IV) which consists of 24,632 non-institutionalised Malaysian population conducted by the Ministry of Health in 2011 has been used. Odds ratio (OR) with 95% confidence interval has been estimated using multinomial logistic regression. Results: Obese and overweight respondents exhibit increased likelihood of having undiagnosed and known hypertension. Physically inactive, ex-smokers and unclassified drinkers are found having higher likelihood to have known hypertension. However, current drinkers are found to have higher likelihood of having undiagnosed hypertension. Elderly, retirees, home makers and lower educated respondents are shown higher odds to have undiagnosed hypertension. Likewise, the likelihood of having known hypertension has been found to increase among the elderly and other Bumiputra. Conclusion: Through this research, significant predictors which consist of obese and overweight respondents, current drinkers, older respondents (above 65 years old) and primary educated respondents are having higher likelihood to have undiagnosed hypertension. Competing Interests: Conflict of Interests None. (© Penerbit Universiti Sains Malaysia, 2019.) |
| Databáze: | MEDLINE |
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