10-year risk for cardiovascular diseases according to the WHO prediction chart: findings from the National Health and Morbidity Survey (NHMS) 2019.

BACKGROUND: There has been a significant increase in the incidence of cardiovascular disease (CVD) in Malaysia. It is important to identify the group at high risk of CVD. This study aimed to assess the population distribution and factors associated with 10-year CVD risk among adults aged 40 to 74 years in Malaysia. METHODS: This study used secondary data from the NHMS 2019, a nationally representative cross-sectional population study. The following measurements were collected: anthropometric, systolic blood pressure, fasting blood glucose, total cholesterol, smoking, and sociodemographic. The 2019 WHO Southeast Asia laboratory-based charts were used to estimate individuals' CVD risk. These charts predict significant cardiovascular events over ten years. Multiple logistic regression analysis was employed to ascertain the factors that are linked to elevated or extremely elevated risk of CVD. RESULTS: A total of 5,503 respondents were included in the analysis. Less than one-quarter of the respondents were current smokers and obese. Approximately 41.7%, 30.9%, and 22.5% of the participants had extremely low risk (less than 5%), low risk (between 5% and less than 10%), and moderate risk (between 10% and less than 20%), respectively. A total of 4.9% of the participants were categorised as having high (20% to < 30%) or very high (CVD) risk (≥ 30%). This classification was more prevalent among males (7.3%) than among females (2.5%; p < 0.001). The factors associated with high/very high CVD risk were unemployment (aOR = 1.88, 95% CI = 1.47-2.40), those with non-formal and primary education level (aOR = 2.36, 95% CI = 1.36 - 4.12 and aOR = 3.28, 95% CI = 2.10 - 5.12, respectively), and being physically inactive with obesity (aOR = 2.19, 95% CI = 1.18 - 4.08). CONCLUSIONS: This study revealed that almost 5% of the population in Malaysia has a high 10-year CVD risk. These findings highlight Malaysia's urgent need for comprehensive CVD prevention efforts.

Prognostic factors for premature cardiovascular disease mortality in Malaysia: a modelling approach using semi-parametric and parametric survival analysis with national health and morbidity survey linked mortality data.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of premature mortality worldwide. Despite existing research on CVD risk factors, the study of premature CVD mortality in Malaysia remains limited. This study employs survival analysis to model modifiable risk factors associated with premature CVD mortality among Malaysian adults. METHOD: We utilised data from Malaysia's National Health and Morbidity Survey (NHMS) conducted in 2006, 2011, and 2015, linked with mortality records. The cohort comprised individuals aged 18 to 70 during the NHMS interview. Follow-up extended to 2021, focusing on CVD-related premature mortality between ages 30 and 70. We employed six survival models: a semi-parametric Cox proportional hazard (PH) and five parametric survival models, which were Exponential, Weibull, Gompertz, log-normal and log-logistic distributions using R software. The age standardized incidence rate (ASIR) of premature CVD mortality was calculated per 1000 person-years. RESULTS: Among 63,722 participants, 886 (1.4%) experienced premature CVD mortality, with an ASIR of 1.80 per 1000 person-years. The best-fit models (based on AIC value) were the stratified Cox model by age (semi-parametric) and the log-normal accelerated failure time (AFT) model (parametric). Males had higher risk (Hazard Ratio, HR = 2.68) and experienced 49% shorter survival time (Event Time Ratio, ETR = 0.51) compared to females. Compared to Chinese ethnicity, Indians, Malays, and other Bumiputera had higher HR and lower survival times. Rural residents and those with lower education also faced increased HRs and reduced survival times. Diabetes (diagnosed: HR = 3.26, ETR = 0.37; undiagnosed: HR = 1.63, ETR = 0.63), hypertension (diagnosed: HR = 1.84, ETR = 0.53; undiagnosed: HR = 1.46, ETR = 0.68), and undiagnosed hypercholesterolemia (HR = 1.31, ETR = 0.80) increased risk and decreased survival times. Additionally, current smoking and abdominal obesity elevated risk (HR = 1.38, 1.60) and shortened survival (ETR = 0.81, 0.71). CONCLUSION: The semi-parametric and parametric survival models both highlight the considerable impact of socioeconomic status and modifiable risk factors on premature CVD mortality, underscoring the imperative for targeted interventions to effectively mitigate these effects.

Age, Education and Depression Among Older Adults: The Mediating Role of Physical Activity.

OBJECTIVES: Past geriatric studies related to the mediating role of physical activity in depression are scarce. This is perhaps the first study to examine the mediating effects of physical activity on the associations between depression and age, and education among older adults. METHODS: Statistical analyses of cross-sectional data from a nationally representative survey on Malaysian older adult health were conducted. Structural equation modeling was used to assess the extent to which physical activity mediated the relationships between depression and age, and education. Associations between variables were explored using multivariable logistic regressions. RESULTS: Analyses were based on a sample of 3974 older adults (aged ≥60 years). Only 12.2% of older adults had depression. Age was positively associated with the odds of depression. Better educated older adults were less likely to experience depression than less educated older adults. Physical activity fully mediated the association between depression and age, whereas it partially explained the depression-education relationship. CONCLUSIONS: Older age and low educational levels were risk factors for depression, and physical activity was identified as a mediator. CLINICAL IMPLICATIONS: Older and less-educated older adults should be encouraged to participate in physical activity, and those at risk of depression should be given special attention.

The global estimate of premature cardiovascular mortality: a systematic review and meta-analysis of age-standardized mortality rate.

BACKGROUND: Cardiovascular disease (CVD) is a significant cause of premature mortality worldwide, with a growing burden in recent years. Despite this, there is a lack of comprehensive meta-analyses that quantify the extent of premature CVD mortality. Study addressed this gap by estimating the pooled age-standardized mortality rate (ASMR) of premature CVD mortality. METHODS: We conducted a systematic review of published CVD mortality studies that reported ASMR as an indicator for premature mortality measurement. All English articles published as of October 2022 were searched in four electronic databases: PubMed, Scopus, Web of Science (WoS), and the Cochrane Central Register of Controlled Trials (CENTRAL). We computed pooled estimates of ASMR using random-effects meta-analysis. We assessed heterogeneity from the selected studies using the I2 statistic. Subgroup analyses and meta regression analysis was performed based on sex, main CVD types, income country level, study time and age group. The analysis was performed using R software with the "meta" and "metafor" packages. RESULTS: A total of 15 studies met the inclusion criteria. The estimated global ASMR for premature mortality from total CVD was 96.04 per 100,000 people (95% CI: 67.18, 137.31). Subgroup analysis by specific CVD types revealed a higher ASMR for ischemic heart disease (ASMR = 15.57, 95% CI: 11.27, 21.5) compared to stroke (ASMR = 12.36, 95% CI: 8.09, 18.91). Sex-specific differences were also observed, with higher ASMRs for males (37.50, 95% CI: 23.69, 59.37) than females (15.75, 95% CI: 9.61, 25.81). Middle-income countries had a significantly higher ASMR (90.58, 95% CI: 56.40, 145.48) compared to high-income countries (21.42, 95% CI: 15.63, 29.37). Stratifying by age group indicated that the age groups of 20-64 years and 30-74 years had a higher ASMR than the age group of 0-74 years. Our multivariable meta-regression model suggested significant differences in the adjusted ASMR estimates for all covariates except study time. CONCLUSIONS: This meta-analysis synthesized a comprehensive estimate of the worldwide burden of premature CVD mortality. Our findings underscore the continued burden of premature CVD mortality, particularly in middle-income countries. Addressing this issue requires targeted interventions to mitigate the high risk of premature CVD mortality in these vulnerable populations.

Stunting and Its Associated Factors among Children Below 5 Years Old on the East Coast of Peninsular Malaysia: Evidence from the National Health and Morbidity Survey.

Background: Child malnutrition problems still occur in Malaysia, particularly stunting. This study aimed to determine the proportion of stunting among children below 5 years old and investigate the factors associated with stunting on the East Coast of Peninsular Malaysia. Methods: This study utilised data from the 2016 National Health and Morbidity Survey (NHMS). Multiple logistic regression was used to determine the factors associated with malnutrition among non-stunted and stunted children. Results: The proportion of stunting among children below 5 years old in this East Coast region was 26.2%. When divided by state, Kelantan had the highest proportion of stunting, followed by Pahang and Terengganu, at 28.8%, 26.2% and 23.4%, respectively. In this study, the factors associated with stunting were children aged 24 months old-59 months old (adjusted odds ratio [aOR]: 1.52; 95% CI: 1.26, 1.83; P < 0.001), male children (aOR: 1.47; 95% CI: 1.23, 1.76; P < 0.001), Orang Asli children (aOR: 2.84; 95% CI: 1.86, 4.32; P < 0.001), children with low birth weight from 1,500 g to 2,499 g (aOR: 1.86; 95% CI: 1.36, 2.55; P < 0.001) and children from households that practice unsanitary waste disposal (aOR: 1.42; 95% CI: 1.16, 1.74; P = 0.001). Conclusion: Stunting among children under the age of 5 years old on the East Coast of Peninsular Malaysia remains a public health problem. To reduce the prevalence of stunting in this region, intervention programmes should be intensified. Emphasis should be placed on public health programmes that target the associated factors, such as dietary habits, Orang Asli children, low birth weight and unsanitary waste disposal.

The Ten-Year Risk Prediction for Cardiovascular Disease for Malaysian Adults Using the Laboratory-Based and Office-Based (Globorisk) Prediction Model.

Background and Objectives: Globorisk is a well-validated risk prediction model that predicts cardiovascular disease (CVD) in the national population of all countries. We aim to apply the Globorisk calculator and provide the overall, sex-specific, ethnic-specific, region-specific, and state-specific 10-year risk for CVD among Malaysian adults. Materials and Methods: Using Malaysia's risk factor levels and CVD event rates, we calculated the laboratory-based and office-based risk scores to predict the 10-year risk for fatal CVD and fatal plus non-fatal CVD for the Malaysian adult population. We analysed data from 8253 participants from the 2015 nationwide Malaysian National Health and Morbidity Survey (NHMS 2015). The average risk for the 10-year fatal and fatal plus non-fatal CVD was calculated, and participants were further grouped into four categories: low risk (<10% risk for CVD), high risk A (≥10%), high risk B (≥20%), and high risk C (≥30%). Results: Results were reported for all participants and were then stratified by sex, ethnicity, region, and state. The average risks for laboratory-based fatal CVD, laboratory-based fatal plus non-fatal CVD, and office-based fatal plus non-fatal CVD were 0.07 (SD = 0.10), 0.14 (SD = 0.12), and 0.11 (SD = 0.09), respectively. Conclusions: There were substantial differences in terms of the sex-, ethnicity- and state-specific Globorisk risk scores obtained.

Incidence and predictors of mild cognitive impairment (MCI) within a multi-ethnic Asian populace: a community-based longitudinal study.

BACKGROUND: Limited information is available from longitudinal studies regarding the predictors and incidence of MCI in older Asian adults. Thus, a community-based longitudinal study was conducted to determine the incidence of MCI among multi-ethnic older adults in Malaysia. The role of health and lifestyle as predictors of MCI was also examined. METHODS: Analysis of data obtained from the Towards Useful Aging (TUA) study (2014-2016), wave 1 (baseline) and wave 2 (1½ years of follow-up) was conducted. For the baseline, comprehensive, interview-based questionnaires were administered to 1227 subjects who were 60 years old and above. MCI is a unique transitional state between normal ageing and dementia. MCI characteristics include a decline and disturbance of cognition, minimal impairment of complex activities, ability to perform regular daily functions, and absence of dementia. The incidence of MCI was assessed using comprehensive neuropsychological batteries. The study then performed a logistic regression analysis to examine the effect of each possible predictor of MCI. This analysis began with univariate analyses and a separate review of the effect of every variable. Binary logistic analyses followed hereafter. RESULTS: During the follow-up after 1½ years, 179 (14.6%) of the participants who did not exhibit MCI at baseline were observed to have developed MCI. Among the participants who did not exhibit MCI at baseline, the incidence rate was 10.5 per 100 person-years. Male sex and lack of engagement in mental activities were predictors of MCI among participants without MCI at baseline. CONCLUSION: After the 1½-year follow-up, the incidence rate for MCI was considerably high among the respondents. Being male and being less engaged in mental activities were predictors of the occurrence of MCI. Mental activities need to be promoted for the prevention of MCI incidence among older adults.

Incidence and predictors of multimorbidity among a multiethnic population in Malaysia: a community-based longitudinal study.

BACKGROUND: Multimorbidity in older adults needs to be assessed as it is a risk factor for disability, cognitive decline, and mortality. AIMS: A community-based longitudinal study was performed to determine the incidence and to identify possible predictors of multimorbidity among multiethnic older adults population in Malaysia. METHODS: Comprehensive interview-based questionnaires were administered among 729 participants aged 60 years and above. Data were analyzed from the baseline data of older adults participating in the Towards Useful Aging (TUA) study (2014-2016) who were not affected by multimorbidity (349 without any chronic diseases and 380 with one disease). Multimorbidity was considered present in an individual reporting two or more chronic diseases. RESULTS: After 1½ years of follow-up, 18.8% of participants who were initially free of any diseases and 40.9% of those with one disease at baseline, developed multimorbidity. The incidence rates were 13.7 per 100 person-years and 34.2 per 100 person-years, respectively. Female gender, smoking, and irregular preparing of food (lifestyle) were predictors for incidence of multimorbidity, especially in those without any disease, while Body Mass Index (BMI) 22-27 kg/m2 and inadequate daily intake of iron were identified as predictors of multimorbidity among participants who already have one disease. CONCLUSIONS: The incidence rates of multimorbidity among Malaysian older adults were between the ranges of 14-34 per 100 person-years at a 1½-year follow-up. Gender, smoking, BMI 22-27 kg/m2, inadequate daily intake of iron and lack of engagement in leisure or lifestyle physical activities were possible predictors in the development of multimorbidity. There is a need to formulate effective preventive management strategies to decelerate multimorbidity among older adults.

The effect of weight loss intervention programme on health-related quality of life among low income overweight and obese housewives in the MyBFF@home study.

BACKGROUND: Obesity is an emerging global public health concern as it is related to chronic diseases and its impact to health related quality of life. The aim of this study was to assess the effect of weight reduction on health related quality of life (HRQOL) among obese and overweight housewives. METHODS: Data on 123 obese and overweight housewives in the intervention group from the MyBFF@home study were utilised. A validated Malaysian Malay version of Obesity Weight Loss Quality of Life (OWLQOL) questionnaire was administered at baseline and 6 months after intervention. Descriptive analysis, univariate analysis, paired t-test and multiple logistic regression were performed using SPSS Version 22. RESULTS: Mean body mass index (BMI) was 31.5 kg/m2 (SD:4.13), with 51 participants classified as overweight (41.5%) while 72 were obese (58.5%). About 72% of the housewives experienced weight reduction (62% reduced weight less than 5% and 11% reduced weight more than 5% of their baseline weight). There was a significant improvement in HRQOL with a pre-intervention total mean score of 59.82 (SD: 26.60) and post-intervention of 66.13 (SD: 22.82), p-value < 0.001. By domain, the highest post intervention mean score was self-image 71.46 (SD: 22.85), followed by social stigma 68.77 (SD: 28.70), physical 61.83 (SD: 24.25) and trying to lose weight 61.24 (SD: 27.32). There was no significant association between weight reduction and HRQOL improvement. CONCLUSION: Weight loss intervention programme utilizing behavioural modification has led to a significant improvement in HRQOL among overweight and obese housewives.

Changes in body pain among overweight and obese housewives living in Klang Valley, Malaysia: findings from the MyBFF@home study.

BACKGROUND: Obesity leads to the increase of pain at different parts of the body and it is a potential marker for complications of chronic diseases. This paper aims to assess changes in the body pain among overweight and obese housewives who participated in the My Body is Fit and Fabulous at home (MyBFF@home) study. METHODS: Housewives aged 18 to 59 years old from the MyBFF@home study were selected and pain was measured using the Visual Analogue Scale (VAS) questionnaire. VAS measured the pain intensity at different parts of the body (score of 0-10). Data were collected at base line, 3 months and 6 months among the housewives in both the control and intervention group. Pain scores and other variables (age, Body Mass Index (BMI) and waist circumference) were analysed using SPSS version 22. RESULTS: A total of 328 housewives completed the VAS questionnaires at baseline, while 185 (56.4%) of housewives completed the VAS at 3 months and 6 months. A decreasing trend of mean pain score in both groups after 6 months was observed. However, the intervention group showed a consistent decreasing trend of pain score mainly for back pain. In the control group, there was a slight increment of score in back pain from baseline towards the 6 months period. Older housewives in both groups (aged 50 years and above) had a higher mean score of leg pain (2.86, SD: 2.82) compared to the other age group. Higher BMI was significantly associated with pain score in both groups. CONCLUSION: There were some changes in the level of body pain among the housewives before and after the intervention. Older obese women had a higher pain score compared to younger obese women. Pain was associated with BMI and change in BMI appears to be beneficial in reducing body pain among overweight and obese individuals.

Validation of verbal autopsy: determination of cause of deaths in Malaysia 2013.

BACKGROUND: Mortality statistics by age, sex and cause are the foundation of basic health data required for health status assessment, epidemiological research and formation of health policy. Close to half the deaths in Malaysia occur outside a health facility, are not attended by medical personnel, and are given a lay opinion as to the cause of death, leading to poor quality of data from vital registration. Verbal autopsy (VA) is a very useful tool in diagnosing broad causes of deaths for events that occur outside health facilities. This article reports the development of the VA methods and our principal finding from a validation study. METHODS: A cross sectional study on nationally representative sample deaths that occurred in Malaysia during 2013 was used. A VA questionnaire suitable for local use was developed. Trained field interviewers visited the family members of the deceased at their homes and conducted face to face interviews with the next of kin. Completed questionnaires were reviewed by trained physicians who assigned multiple and underlying causes. Reference diagnoses for validation were obtained from review of medical records (MR) available for a sample of the overall study deaths. RESULTS: Corresponding MR diagnosis with matched sample of the VA diagnosis were available in 2172 cases for the validation study. Sensitivity scores were good (>75%) for transport accidents and certain cancers. Moderate sensitivity (50% - 75%) was obtained for ischaemic heart disease (64%) and cerebrovascular disease (72%). The validation sample for deaths due to major causes such as ischaemic heart disease, pneumonia, breast cancer and transport accidents show low cause-specific mortality fraction (CSMF) changes. The scores obtained for the top 10 leading site-specific cancers ranged from average to good. CONCLUSION: We can conclude that VA is suitable for implementation for deaths outside the health facilities in Malaysia. This would reduce ill-defined mortality causes in vital registration data, and yield more accurate national mortality statistics.

Physical activity and overweight/obesity among Malaysian adults: findings from the 2015 National Health and morbidity survey (NHMS).

BACKGROUND: Overweight and obesity are growing health problems both worldwide and in Malaysia due to such lifestyle changes as decreased physical activity (PA), increased sedentary behavior and unhealthy eating habits. This study examined the levels and patterns of PA among normal-weight and overweight/obese adults and to investigate the association between PA level and overweight/obesity in Malaysian adults. METHODS: This study used data from the 2015 National Health and Morbidity Survey (NHMS), a nationwide cross-sectional survey that implemented a two-stage stratified random sampling design. Respondents aged 18 years and above (n = 17,261) were included in the analysis. The short version of International Physical Activity Questionnaire (IPAQ) was administered to assess the respondents' PA levels. The respondents' height and weight were objectively measured and body mass index (BMI) was calculated. The respondents were categorized according to BMI as either normal-weight (18.5-24.9 kg/m2) or overweight/obese (≥ 25 kg/m2). Descriptive and complex sample logistic regression analyses were employed as appropriate. RESULTS: Overall, approximately 1 in 2 respondents (51.2%) were overweight/obese, even though the majority (69.0%) reporting at least a moderate level of PA (total PA ≥ 10 MET-hours/week). In both normal-weight and overweight/obese groups, a significantly higher prevalence of high PA (total PA ≥ 50 MET-hours/week) was observed among men than women (p < 0.001), but women reported a significantly higher prevalence of low and moderate PA than men (p < 0.001). Men reported significantly higher activity levels (in MET-hours/week) than women with regard to walking, vigorous-intensity PA and total PA (p < 0.001). Overweight/obese men reported a significantly lower level of vigorous-intensity PA and total PA than normal-weight men (p < 0.001). A low level of PA was associated with the risk of overweight/obesity (Adjusted OR = 1.14; 95% CI: 1.01-1.30) compared to a high level of PA among men but not among women. CONCLUSIONS: The levels of PA were inversely related to the risk of overweight/obesity in men but not in women. Programs designed to reduce overweight/obesity rates should encourage the practice of moderate- to vigorous-intensity PA. Future research should consider using longitudinal and prospective approaches that simultaneously measure dietary intake, PA and BMI among Malaysian adults to investigate the actual relationship between PA and overweight/obesity.

Lifestyle, chronic diseases and self-rated health among Malaysian adults: results from the 2011 National Health and Morbidity Survey (NHMS).

BACKGROUND: Self-rated health (SRH) has been demonstrated as a valid and appropriate predictor of incident mortality and chronic morbidity. Associations between lifestyle, chronic diseases, and SRH have been reported by various population studies but few have included data from developing countries. The aim of this study was to determine the prevalence of poor SRH in Malaysia and its association with lifestyle factors and chronic diseases among Malaysian adults. METHODS: This study was based on 18,184 adults aged 18 and above who participated in the 2011 National Health and Morbidity Survey (NHMS). The NHMS was a cross-sectional survey (two-stage stratified sample) designed to collect health information on a nationally representative sample of the Malaysian adult population. Data were obtained via face-to-face interviews using validated questionnaires. Two categories were used to measure SRH: "good" (very good and good) and "poor" (moderate, not good and very bad). The association of lifestyle factors and chronic diseases with poor SRH was examined using univariate and multivariate logistic regression. RESULTS: Approximately one-fifth of the Malaysian adult population (20.1 %) rated their health as poor (men: 18.4 % and women: 21.7 %). Prevalence increases with age from 16.2 % (aged 18-29) to 32.0 % (aged ≥60). In the multivariate logistic regression analysis, lifestyle factors associated with poor SRH included: underweight (OR = 1.29; 95 % CI: 1.05-1.57), physical inactivity (OR = 1.25; 95 % CI: 1.11-1.39), former smoker (OR = 1.38; 95 % CI: 1.12-1.70), former drinker (OR = 1.27; 95 % CI: 1.01-1.62), and current drinker (OR = 1.35; 95 % CI: 1.08-1.68). Chronic diseases associated with poor SRH included: asthma (OR = 1.66; 95 % CI: 1.36-2.03), arthritis (OR = 1.87; 95 % CI: 1.52-2.29), hypertension (OR = 1.39; 95 % CI: 1.18-1.64), hypercholesterolemia (OR = 1.43; 95 % CI: 1.18-1.74), and heart disease (OR = 1.85; 95 % CI: 1.43-2.39). CONCLUSIONS: This study indicates that several unhealthy lifestyle behaviours and chronic diseases are significantly associated with poor SRH among Malaysian adults. Effective public health strategies are needed to promote healthy lifestyles, and disease prevention interventions should be enhanced at the community level to improve overall health.

Prevalence and factors associated with physical inactivity among Malaysian adults.

Using data from the Third National Health and Morbidity Survey (NHMS III) in 2006, this study examined the association between socio-demographic factors and physical inactivity in a sample of 33,949 adults aged 18 years and above by gender. Physical activity levels were measured using the Global Physical Activity Questionnaire (GPAQ vers 1). Physical inactivity was defined as having a total physical activity level of less than 600 metabolic equivalents-minutes per week (METs-minutes/week) contributed by all three different life domains.Logistic regression analyses were conducted.The prevalence of overall physical inactivity was 43.7% (95% CI: 42.9-44.5). The mean total physical activity level was 894.2 METs-minutes/ week. The means METs-minutes/week for the domain of work, travelling, and leisure time were 518.4, 288.1, and 134.8, respectively. Multivariable logistic regression analyses indicated that females were more likely to be physically inactive than males were (aOR=1.62; 95% CI: 1.53-1.72). Among women, being a housewife (aOR = 1.78; 95% CI: 1.56-2.03), widow/divorcee (aOR = 1.23; 95% CI: 1.05-1.43), and those with no formal education (aOR = 1.20; 95% CI: 1.01-1.43) were found to be significantly associated with physical inactivity.Urban residents, older adults aged 65 years and above, private employees, nonworking group, and those with a monthly household income level of MYR5,000 and above appeared to be consistently associated with physical inactivity across men, women, and combined group (both). Specific health intervention strategies to promote physical activity should be targeted on population subgroups who are inactive.

Daily Adequate Intake of Fruit and Vegetables and All-Cause, Cardiovascular Disease, and Cancer Mortalities in Malaysian Population: A Retrospective Cohort Study.

BACKGROUND/OBJECTIVE: We investigated the relationship between daily adequate FV intake and risk of all-cause, cardiovascular disease (CVD), and cancer mortalities among Malaysian adults. METHODS: Data from a total of 18,211 Malaysian adults aged 18 years and above whom participated in the National Health and Morbidity Survey 2011 were analyzed. The participants were followed up for approximately 11 years, and mortality data were ascertained through record linkages with the death registry from the Malaysian National Registration Department. Multiple Cox regression was applied to assess the association between daily adequate FV intake and risk of all-cause, CVD, and cancer mortalities, adjusting for sociodemographic, lifestyle, and health conditions. RESULTS: During the follow-up period, we observed a total of 1809 all-cause, 374 CVD, and 216 cancer mortalities. No significant association between daily adequate FV intake with all-cause mortality (adjusted hazard ratio (aHR): 1.01, 95% confidence interval (CI: 0.79-1.31), CVD mortality (aHR: 0.91, 95% CI: 0.57-1.47), and cancer mortality (aHR: 1.27, 95% CI: 0.74-2.17) were observed, even after excluding deaths that occurred in the first two years of observation. CONCLUSIONS: Further investigation on the type of FV intake and its preparation method with risk of mortality will provide a holistic insight into the causal relationship between FV intake and mortality.

Comparative Analysis of Logistic Regression, Gradient Boosted Trees, SVM, and Random Forest Algorithms for Prediction of Acute Kidney Injury Requiring Dialysis After Cardiac Surgery.

Purpose: This study aimed to identify the best-performing algorithm for predicting Acute Kidney Injury (AKI) necessitating dialysis following cardiac surgery. Patients and Methods: The dataset encompassed patient data from a tertiary cardiothoracic center in Malaysia between 2011 and 2015, sourced from electronic health records. Extensive preprocessing and feature selection ensured data quality and relevance. Four machine learning algorithms were applied: Logistic Regression, Gradient Boosted Trees, Support Vector Machine, and Random Forest. The dataset was split into training and validation sets and the hyperparameters were tuned. Accuracy, Area Under the ROC Curve (AUC), precision, F-measure, sensitivity, and specificity were some of the evaluation criteria. Ethical guidelines for data use and patient privacy were rigorously followed throughout the study. Results: With the highest accuracy (88.66%), AUC (94.61%), and sensitivity (91.30%), Gradient Boosted Trees emerged as the top performance. Random Forest displayed strong AUC (94.78%) and accuracy (87.39%). In contrast, the Support Vector Machine showed higher sensitivity (98.57%) with lower specificity (59.55%), but lower accuracy (79.02%) and precision (70.81%). Sensitivity (87.70%) and specificity (87.05%) were maintained in balance via Logistic Regression. Conclusion: These findings imply that Gradient Boosted Trees and Random Forest might be an effective method for identifying patients who would develop AKI following heart surgery. However specific goals, sensitivity/specificity trade-offs, and consideration of the practical ramifications should all be considered when choosing an algorithm.

Prevalence, awareness, treatment and control of Hypertension among the elderly: the 2006 National Health and Morbidity Survey III in Malaysia.

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.

Obesity and Its Association with Undiagnosed Diabetes Mellitus, High Blood Pressure and Hypercholesterolemia in the Malaysian Adult Population: A National Cross-Sectional Study Using NHMS Data.

This study aimed to report the prevalence of obesity, classified using Asian cut-off, and its relationships with undiagnosed diabetes mellitus, high blood pressure, and hypercholesteremia. We analyzed the nationally representative data from 14,025 Malaysian adults who participated in the NHMS 2015. The relationship between obesity and undiagnosed diabetes mellitus, high blood pressure, and hypercholesteremia was determined using multivariable logistic regressions, and lifestyle risk factors and sociodemographic characteristics were adjusted. The undiagnosed high blood pressure group showed the highest proportionate of overweight/obese (80.0%, 95% CI: 78.1-81.8) and central obesity (61.8%, 95% CI: 59.3-64.2). Inverse association was observed between underweight with undiagnosed high blood pressure (aOR: 0.40, 95% CI: 0.26-0.61) and hypercholesterolemia (aOR: 0.75, 95% CI: 0.59-0.95) groups. In contrast, positive relationships were shown between overweight/obese and risk of undiagnosed diabetes mellitus (aOR: 1.65, 95% CI: 1.31-2.07), high blood pressure (aOR: 3.08, 95% CI: 2.60-3.63), and hypercholesterolemia (aOR: 1.37, 95% CI: 1.22-1.53). Likewise, central obesity was positively associated with a risk of undiagnosed diabetes mellitus (aOR: 1.40, 95% CI: 1.17-1.67), high blood pressure (aOR: 2.83, 95% CI: 2.45-3.26), and hypercholesterolemia (aOR: 1.26, 95% CI: 1.12-1.42). Our findings indicated the importance of periodical health examinations to assess the risk of non-communicable diseases among the general and abdominal obese Malaysian adults.

The Unmet Needs of Caregiving Skills, Support, Emotions, and Finances of Stroke Caregivers: A Multicenter Study.

​​​​​​Background Informal stroke caregivers in Malaysia play an important role in supporting stroke survivors following acute care. Nevertheless, there is a lack of available data to inform the sufficiency of help and resources available to address the needs of local stroke caregivers. This study aimed to determine the unmet needs in caregiving skills, support, emotions, and finances as well as the associated factors of stroke caregivers in Malaysia. Methodology This multicenter, cross-sectional study used a self-administered survey developed and validated for the Malaysian population. It was prepared in paper-based and web-based formats, and it was distributed via direct contact with the respondents, post, and email. Respondents were recruited from different sites in Malaysia. In this study, unmet needs were defined as "help that was needed more or was not provided to assist caregivers and address their specific needs." This article only presents the quantitative data of this study. Data were analyzed using descriptive analysis and logistic regression to determine factors associated with unmet needs. Results Almost all study respondents (91%) reported having unmet needs. Unmet needs ranged from 1 to 10, while the mean unmet needs was 5. The highest unmet need was related to financial support (72.5%), followed by support from professionals to address their own needs (59.2%), skills to care for stroke survivors, i.e., skills in caring for stroke survivors with their daily activities (57.9%), and skills in supporting stroke survivors to perform rehabilitation at home (53.1%). The lowest unmet need was related to support in transporting stroke survivors from place to place (45.3%). Additionally, this study did not identify an association between the reported unmet needs and gender, age, ethnicity, duration of caregiving, and site of participation. Conclusions This study reported a range of unmet needs perceived by stroke caregivers in Malaysia. Further research is warranted to understand the gaps in supporting local stroke caregivers to inform future post-stroke support and services in the country.

Smoking status and its relationship with depression among the elderly population in Malaysia: Findings from the National Health and Morbidity Survey 2018.

INTRODUCTION: Literature exploring smoking status and its association with depression among the elderly population using nationwide data in Malaysia is limited. Hence, a nationwide survey to determine the prevalence of smoking and depression among the elderly (aged ≥60 years) population was undertaken. METHODS: This secondary dataset analysis used data from the National Health and Morbidity Survey (NHMS) 2018. Data from 3914 participants were collected on elderly health in the Malaysian population. Sociodemographic characteristics were recorded. Smoking status was grouped as current smokers, former smokers, and non-smokers. A validated Malay language version of the Geriatric Depression Scale (M-GDS-14) was used to screen for depression among the elderly. RESULTS: There was a significant association between smoking status with location, gender, employment status, marital status, ethnicity, education level, income, and depression. Current smokers are significantly higher in rural than urban areas. Among depressed participants, 65.7%, 17.1% and 17.2% were non-smokers, former smokers and current smokers, respectively. Multiple logistic regression showed that single (unmarried/separated/ divorced/widowed) participants were more likely to be depressed compared to married participants (AOR=1.68; 95% CI: 1.16-2.43). Whilst unemployed participants were more likely to be depressed than those who were employed (AOR=1.72; 95% CI: 1.22-2.44). Other Bumiputras were more likely to have depression compared to Malay, Chinese and Indian participants. Participants without formal education were more likely to be depressed compared to those having tertiary education. These participants have a 2-fold increased risk of depression (AOR=2.13; 95% CI: 1.02-4.45). Participants whose monthly salaries were <2000 MYR (AOR=3.67; 95% CI: 1.84-7.31) and 1000-1999 MYR (AOR=2.71; 95% CI: 1.23-5.94) were more likely to have depression compared with those who had received ≥3000 MYR. Ever smokers were more likely to be depressed than non-smokers (AOR=1.68; 95% CI: 1.23-2.29). CONCLUSIONS: Elderly Malaysians are indeed at risk of developing depression particularly if they had ever smoked. Public health awareness and campaigning are pertinent to disseminate these outcomes in order to spread the awareness associated with smoking-related depression.