Displaying publications 21 - 23 of 23 in total

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  1. Ho BK, Kaur J, Nainu BM, Omar MA, Saleh M, Yau WK, et al.
    Med J Malaysia, 2013 Aug;68(4):332-7.
    PMID: 24145262 MyJurnal
    INTRODUCTION: The objective of this study was to determine the prevalence and factors associated with the awareness, treatment and control of hypertension among the elderly population in Malaysia.
    METHODS: Analysis of secondary data from a cross-sectional national population based survey using stratified multistage sampling conducted from April to August 2006 throughout Malaysia National Health and Morbidity Survey III (NHMS III). Adults aged 60 and older who had participated in the survey were included in the study.
    RESULTS: A total of 4954 respondents (14.3%) were elderly from the 34,539 respondents aged 18 years and above for hypertension module in NHMS III. A total of 4933 elderly had their blood pressure examined (giving a response rate of 99.6%). The overall prevalence of hypertension among elderly was 74.0%, more in elderly female (77.4%) than men (70.1%). Only 49.3% of them were aware of their hypertensive status, 42.4% were currently treated and 22.6% of those being treated were under control. The results of multiple logistic regression showed factors associated with higher awareness and treatment rates were similar i.e. females, young-old age group (age 60-74), urban residents, Chinese ethnic group and higher education. For those elderly who were on treatment, determinants associated with controlled hypertension were Chinese and Indians ethnic groups and higher educational level.
    CONCLUSIONS: There was a high prevalence of hypertension among the elderly in Malaysia but with poor awareness, treatment and control rate. Reliable information on these aspects is important for the development of patient education programs, health policies to improve disease management and overall health care resource allocation especially among the elderly in Malaysia.
    Study name: National Health and Morbidity Survey (NHMS-2006)
  2. Liew SM, Khoo EM, Ho BK, Lee YK, Mimi O, Fazlina MY, et al.
    Int J Tuberc Lung Dis, 2015 Jul;19(7):764-71.
    PMID: 26056099 DOI: 10.5588/ijtld.14.0767
    OBJECTIVES: To determine treatment outcomes and associated predictors of all patients registered in 2012 with the Malaysian National Tuberculosis (TB) Surveillance Registry.
    METHODS: Sociodemographic and clinical data were analysed. Unfavourable outcomes included treatment failure, transferred out and lost to follow-up, treatment defaulters, those not evaluated and all-cause mortality.
    RESULTS: In total, 21 582 patients were registered. The mean age was 42.36 ± 17.77 years, and 14.2% were non-Malaysians. The majority were new cases (93.6%). One fifth (21.5%) had unfavourable outcomes; of these, 46% died, 49% transferred out or defaulted and 1% failed treatment. Predictors of unfavourable outcomes were older age, male sex, foreign citizenship, lower education, no bacille Calmette-Guérin (BCG) vaccination scar, treatment in tertiary settings, smoking, previous anti-tuberculosis treatment, human immunodeficiency virus infection, not receiving directly observed treatment, advanced chest radiography findings, multidrug-resistant TB (MDR-TB) and extra-pulmonary TB. For all-cause mortality, predictors were similar except for rural dwelling and nationality (higher mortality among locals). Absence of BCG scar, previous treatment for TB and MDR-TB were not found to be predictors of all-cause mortality. Indigenous populations in East Malaysia had lower rates of unfavourable treatment outcomes.
    CONCLUSIONS: One fifth of TB patients had unfavourable outcomes. Intervention strategies should target those at increased risk of unfavourable outcomes and all-cause mortality.
  3. Lim KH, Jasvindar K, Cheong SM, Ho BK, Lim HL, Teh CH, et al.
    Tob Induc Dis, 2016;14:8.
    PMID: 27006650 DOI: 10.1186/s12971-016-0073-z
    BACKGROUND: The determination of smoking prevalence and its associated factors among the elderly could provide evidence-based findings to guide the planning and implementation of policy in order to will help in reducing the morbidity and mortality of smoking-related diseases, thus increase their quality of life. This paper describes the rate of smoking and identifies the factor(s) associated with smoking among the elderly in Malaysia.
    METHODS: A representative sample of 2674 respondents was obtained via a two-stage sampling method in proportion to population size. Face-to-face interviews were conducted using a set of standardized validated questionnaire. Data was weighted by taking into consideration the complex sampling design and non-response rate prior to data analysis. Univariable and multivariable logistic regression were used to determine the factor/s associated with smoking.
    RESULTS: The prevalence of non-smokers, ex-smokers and current smokers among Malaysians aged 60 years and above were 36.3 % (95 % CI = 32.7-39.8), 24.4 % (95 % CI = 21.2-27.5) and 11.9 % (95 % CI = 9.5-14.3), respectively. Current smokers were significantly more prevalent in men (28.1 %) than in women (2.9 %), but the prevalence declined with advancing age, higher educational attainment, and among respondents with known diabetes, hypertension and hypercholesterolemia. Multivariable analysis revealed that males (aOR, 18.6, 95 % CI 10.9-31.9) and other Bumiputras (aOR 2.58, 95 % CI 1.29-5.15) were more likely to smoke. in addition, elderly with lower educational attainment (aOR, 1.70, 95 % CI 1.24-7.41) and those without/unknown hypertension also reported higher likelihood to be current smokers (aOR 1.98, 95 % CI 1.35-2.83). However, there were no significant associations between respondents with no/unknown diabetes or hypercholesterolemia with smoking.
    CONCLUSIONS: In short, smoking is common among elderly men in Malaysia. Therefore, intervention programs should integrate the present findings to reduce the smoking rate and increase the smoking cessation rate among the elderly in Malaysia and subsequently to reduce the burden of smoking-related disease.
    Study name: National Health and Morbidity Survey (NHMS-2011)
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