BackgroundThe 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.MethodsA 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.ResultsObese 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.ConclusionThrough 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.

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An increasing trend of newly diagnosed diabetes mellitus (DM) among adolescents is occurring worldwide, including Malaysia. This study aims to determine the overall relationships between risk factors on the prevalence of newly diagnosed diabetes mellitus among Malaysian adolescents. Current study uses a cross-sectional study, data from the Fifth National Health and Morbidity Survey 2015 which  consists of individuals who ages 18 and above, extraction of 18 and 19  years old from the data set was done.. Bayesian networks modelling was performed by using graphical networks with expert knowledge to identify the risk factors of newly diagnosed diabetes mellitus among adolescents in Malaysia. Education levels, Body Mass Index (BMI), and physical inactivity were identified as the significant predictors of newly diagnosed DM. The highest conditional probability of developing newly diagnosed DM belongs to both obese and underweight respondents given they have no formal education (probability, pr = 0.5000), followed by obese respondents who had unclassified level of education (pr = 0.4709), and obese respondents with primary level of education (pr = 0.4692). The findings of current study provide insights and allows policymakers to plan for future interventions in order to monitor and reduce the high prevalence of newly diagnosed diabetes mellitus among adolescents in Malaysia.

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