Diabetes knowledge among Malaysian adults: A scoping review and meta-analysis.

Introduction: Optimal self-care promotes glycaemic control and prevents diabetes complications. Its performance is facilitated by an adequate level of diabetes knowledge. This review aimed to evaluate diabetes knowledge among Malaysians by assessing diabetes knowledge scores and their associated factors. Methods: A comprehensive bibliographic search for Malaysian studies on diabetes knowledge was conducted in PubMed, Scopus and Google Scholar. Relevant literature was systematically selected and described; pertinent data were extracted; and data on diabetes knowledge levels and their associated factors were synthesised. The quality of the identified studies was assessed using a Joanna Briggs Institute critical appraisal tool. Results: Thirty Malaysian cross-sectional studies that measured diabetes knowledge levels were retrieved. Nineteen of them used a named diabetes knowledge measurement tool, with 14 using the 14-item Michigan Diabetes Knowledge Test. A low knowledge level was prevalent among patients with diabetes mellitus (pooled mean knowledge score=6.92, proportion of patients with a low knowledge level=47.97%). The knowledge score was associated with some sociodemographic variables, health literacy, self-care and glycaemic control. Conclusion: The association of diabetes knowledge with diabetes outcomes (e.g. self-care and glycaemic control) reflects the potential of the former as a target of intervention. Periodic measurement of diabetes knowledge in healthcare settings and among populations can help in assessing the effectiveness of diabetes educational interventions. Concerted efforts to improve diabetes knowledge among Malaysians have the potential to fill knowledge-practice gaps.

Prevalence of diabetic kidney disease and the associated factors among patients with type 2 diabetes in a multi-ethnic Asian country.

The actual prevalence of diabetic kidney disease (DKD) in patients with type 2 diabetes (T2D) in Malaysia is unknown. We aimed to determine the prevalence of DKD and its associated risk factors among T2D patients in Malaysia. An analytical cross-sectional study was conducted using the year 2022 clinical audit dataset from the National Diabetes Registry. DKD was defined as albuminuria, a decreased glomerular filtration rate, or both. Among 80,360 patients, 62.2% were female, 68.4% were Malay, and the mean age was 61.4 years. A total of 56.7% (95% CI 56.4-57.1%) of patients were found to have DKD. Increasing age, male sex, Malay ethnicity, longer duration of diabetes, overweight, obesity, hypertension, diabetic retinopathy, diabetic foot ulcer, nontraumatic lower-extremity amputation, ischaemic heart disease, stroke, insulin, higher numbers of antihypertensive agents, antiplatelet agents, poorer HbA1c control, higher systolic blood pressure, non-achievement of triglyceride target, and non-attainment of HDL-cholesterol goal were independent risk factors associated with DKD. Clinicians, program managers, and health policymakers should target modifiable factors to manage DKD and prevent its progression to end-stage kidney disease in Malaysia.

How Socio-economic Inequalities Cluster People with Diabetes in Malaysia: Geographic Evaluation of Area Disparities Using a Non-parameterized Unsupervised Learning Method.

Accurate assessments of epidemiological associations between health outcomes and routinely observed proximal and distal determinants of health are fundamental for the execution of effective public health interventions and policies. Methods to couple big public health data with modern statistical techniques offer greater granularity for describing and understanding data quality, disease distributions, and potential predictive connections between population-level indicators with areal-based health outcomes. This study applied clustering techniques to explore patterns of diabetes burden correlated with local socio-economic inequalities in Malaysia, with a goal of better understanding the factors influencing the collation of these clusters. Through multi-modal secondary data sources, district-wise diabetes crude rates from 271,553 individuals with diabetes sampled from 914 primary care clinics throughout Malaysia were computed. Unsupervised machine learning methods using hierarchical clustering to a set of 144 administrative districts was applied. Differences in characteristics of the areas were evaluated using multivariate non-parametric test statistics. Five statistically significant clusters were identified, each reflecting different levels of diabetes burden at the local level, each with contrasting patterns observed under the influence of population-level characteristics. The hierarchical clustering analysis that grouped local diabetes areas with varying socio-economic, demographic, and geographic characteristics offer opportunities to local public health to implement targeted interventions in an attempt to control the local diabetes burden.

Strengthening national salt reduction strategies using multiple methods process evaluations: case studies from Malaysia and Mongolia.

OBJECTIVE: To understand the extent to which national salt reduction strategies in Malaysia and Mongolia were implemented and achieving their intended outcomes. DESIGN: Multiple methods process evaluations conducted at the mid-point of strategy implementation, guided by theoretical frameworks. SETTING: Malaysia (2018-2019) and Mongolia (2020-2021). PARTICIPANTS: Desk-based reviews of related documents, interviews with key stakeholders (n 12 Malaysia, n 10 Mongolia), focus group discussions with health professionals in Malaysia (n 43) and health provider surveys in Mongolia (n 12). RESULTS: Both countries generated high-quality local evidence about salt intake and levels in foods and culturally specific education resources. In Malaysia, education and reformulation activities were delivered with moderate dose (quantity) but reach among the population was low. Within 5 years, Mongolia implemented education among schools, health professionals and food producers on salt reduction with high reach, but with moderate dose (quantity) and reach among the general population. Both countries faced challenges in implementing legislative interventions (mandatory salt labelling and salt limits in packaged foods) and both could improve the scaling up of their reformulation and education activities. CONCLUSIONS: In the first half of Malaysia's and Mongolia's strategies, both countries generated necessary evidence and education materials, mobilised health professionals to deliver salt reduction education and achieved small-scale reformulation in foods. Both subsequently should focus on implementing regulatory policies and achieving population-wide reach and impact. Process evaluations of existing salt reduction strategies can help strengthen intervention delivery, aiding achievement of WHO's 30 % reduction in salt intake by 2025 target.

Health poverty among people with type 2 diabetes mellitus (T2DM) in Malaysia.

In the context of the escalating burden of diabetes in low and middle-income countries (LMICs), there is a pressing concern about the widening disparities in care and outcomes across socioeconomic groups. This paper estimates health poverty measures among individuals with type 2 diabetes mellitus (T2DM) in Malaysia. Using data from the National Diabetes Registry between 2009 and 2018, the study linked 932,855 people with T2DM aged 40-75 to death records. Cox proportional hazards models were used to estimate the 5-year survival probabilities for each patient, stratified by age and sex, while controlling for comorbidities and area-based indicators of socio-economic status (SES), such as district-level asset-based indices and night-time luminosity. Measures of health poverty, based on the Foster-Greer-Thorbecke (FGT) measures, were employed to capture excessive risk of premature mortality. Two poverty line thresholds were used, namely a 5% and 10% reduction in survival probability compared to age and sex-adjusted survival probability of the general population. Counterfactual simulations estimated the extent to which comorbidities contribute to health poverty. 43.5% of the sample experienced health poverty using the 5% threshold, and 8.9% were health poor using the 10% threshold. Comorbidities contribute 2.9% for males and 5.4% for females, at the 5% threshold. At the 10% threshold, they contribute 7.4% for males and 3.4% for females. If all patients lived in areas of highest night-light intensity, poverty would fall by 5.8% for males and 4.6% for females at the 5% threshold, and 4.1% for males and 0.8% for females at the 10% threshold. In Malaysia, there is a high incidence of health poverty among people with diabetes, and it is strongly associated with comorbidities and area-based measures of SES. Expanding the application of health poverty measurement, through a combination of clinical registries and open spatial data, can facilitate simulations for health poverty alleviation.

GIS-Based Assessments of Neighborhood Food Environments and Chronic Conditions: An Overview of Methodologies.

The industrial revolution and urbanization fundamentally restructured populations' living circumstances, often with poor impacts on health. As an example, unhealthy food establishments may concentrate in some neighborhoods and, mediated by social and commercial drivers, increase local health risks. To understand the connections between neighborhood food environments and public health, researchers often use geographic information systems (GIS) and spatial statistics to analyze place-based evidence, but such tools require careful application and interpretation. In this article, we summarize the factors shaping neighborhood health in relation to local food environments and outline the use of GIS methodologies to assess associations between the two. We provide an overview of available data sources, analytical approaches, and their strengths and weaknesses. We postulate next steps in GIS integration with forecasting, prediction, and simulation measures to frame implications for local health policies. Expected final online publication date for the Annual Review of Public Health, Volume 45 is April 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Trends in all-cause mortality among adults with diagnosed type 2 diabetes in West Malaysia: 2010 - 2019.

AIMS: We determined 10-year all-cause mortality trends in diagnosed type 2 diabetes (T2D) population in West Malaysia, a middle-income country in the Western-Pacific region. METHODS: One million T2D people aged 40-79 registered in the National Diabetes Registry (2009-2018) were linked to death records (censored on 31 December 2019). Standardized absolute mortality rates and standardized mortality ratios (SMRs) were estimated relative to the Malaysian general population, and standardized to the 2019 registry population with respect to sex, age group, and disease duration. RESULTS: Overall all-cause standardized mortality rates were unchanged in both sexes. Rates increased in males aged 40-49 (annual average percent change [AAPC]: 2.46 % [95 % CI 0.42 %, 4.55 %]) and 50-59 (AAPC: 1.91 % [95 % CI 0.73 %, 3.10 %]), and females aged 40-49 (AAPC: 3.39 % [95 % CI 1.32 %, 5.50 %]). In both sexes, rates increased among those with 1) > 15 years disease duration, 2) prior cardiovascular disease, and 3) Bumiputera (Malay/native) ethnicity. The overall SMR was 1.83 (95 % CI 1.80, 1.86) for males and 1.85 (95 % CI 1.82, 1.89) for females, being higher in younger age groups and showed an increasing trend in those with either > 15 years disease duration or prior cardiovascular disease. CONCLUSIONS: Mortality trends worsened in certain T2D population in Malaysia.

Baseline treatments and metabolic control of 288,913 type 2 diabetes patients in a 10-year retrospective cohort in Malaysia.

Diabetes is one of the quickest-growing global health emergencies of the twenty-first century, and data-driven care can improve the quality of diabetes management. We aimed to describe the formation of a 10-year retrospective open cohort of type 2 diabetes patients in Malaysia. We also described the baseline treatment profiles and HbA1c, blood pressure, and lipid control to assess the quality of diabetes care. We used 10 years of cross-sectional audit datasets from the National Diabetes Registry and merged 288,913 patients with the same identifying information into a 10-year open cohort dataset. Treatment targets for HbA1c, blood pressure, LDL-cholesterol, HDL-cholesterol, and triglycerides were based on Malaysian clinical practice guidelines. IBM SPSS Statistics version 23.0 was used, and frequencies and percentages with 95% confidence intervals were reported. In total, 288,913 patients were included, with 62.3% women and 54.1% younger adults. The commonest diabetes treatment modality was oral hypoglycaemic agents (75.9%). Meanwhile, 19.3% of patients had ≥ 3 antihypertensive agents, and 71.2% were on lipid-lowering drugs. Metformin (86.1%), angiotensin-converting enzyme inhibitors (49.6%), and statins (69.2%) were the most prescribed antidiabetic, antihypertensive, and lipid-lowering medications, respectively. The mean HbA1c was 7.96 ± 2.11, and 31.2% had HbA1c > 8.5%. Only 35.8% and 35.2% attained blood pressure < 140/80 mmHg and LDL-cholesterol < 2.6 mmol/L, respectively. About 57.5% and 52.9% achieved their respective triglyceride and HDL-cholesterol goals. In conclusion, data integration is a feasible method in this diabetes registry. HbA1c, blood pressure, and lipids are not optimally controlled, and these findings can be capitalized as a guideline by clinicians, programme managers, and health policymakers to improve the quality of diabetes care and prevent long-term complications in Malaysia.

Prevalence of metabolic syndrome and metabolic dysfunction-associated fatty liver disease in Malaysia 2023: study protocol for a community-based nationwide cross-sectional survey.

INTRODUCTION: Metabolic syndrome (MetS) is a cluster of cardio-metabolic dysfunctions characterised by increased fasting plasma glucose, waist circumference, blood pressure, triglycerides and reduction in high-density lipoprotein cholesterol. Meanwhile, metabolic dysfunction-associated fatty liver disease (MAFLD) is the new term for fatty liver associated with MetS. People with MetS or MAFLD have higher risks for adverse cardiovascular outcomes and mortalities. However, large-scale data on MetS and MAFLD prevalence in Malaysia is mainly unknown. This study aims to determine the prevalence of MetS and MAFLD among the general adult population in Malaysia. METHODS AND ANALYSIS: This is a community-based nationwide cross-sectional study in Malaysia. The data collection period is from July 2023 until September 2023, with a planned sample size of 1296 participants. We use a two-stage proportionate stratified random sampling method to ensure national representativeness. The definition of MetS follows the Harmonised Joint Interim Statement in 2009. A diagnosis of MAFLD is made if a participant has fatty liver, defined as having a Fatty Liver Index ≥60 and has type 2 diabetes, a body mass index ≥23 kg/m2, or ≥2 metabolic risk abnormalities. Complex sample analysis will be conducted, and the disease prevalence will be reported with 95% CIs, unweighted counts and estimated populations. ETHICS AND DISSEMINATION: The protocol has been approved by the Medical Research and Ethics Committee of the Ministry of Health Malaysia (NMRR ID-22-02845-GUT). The findings will be disseminated through a formal report, policy brief, scientific publications, conference presentations, social media, print media and stakeholder engagement activities.

Exploring key-stakeholder perceptions on non-communicable disease care during the COVID-19 pandemic in Kenya.

Introduction: over one third of total Disability-Adjusted-Life-Years lost in Kenya are due to non-communicable diseases (NCD). In response, the Government declared significant commitment towards improving NCD care. The COVID-19 pandemic increased the burden on the already overstretched health systems in Kenya. The aims of this study are to assess whether health care providers perceived NCD care to be optimal during the pandemic and explore how to improve responses to future emergencies. Methods: this cross-sectional online survey included healthcare personnel with non-clinical roles (public health workers and policy-makers) and those delivering health care (doctors and nurses). Respondents were recruited between May and September 2021 by random sampling, completed by snowball sampling. Results: among 236 participants (42% in clinical, 58% in non-clinical roles) there was an overall consensus between respondents on NCD care being disrupted and compromised during the pandemic in Kenya. Detracted supplies, funding, and technical resources affected the continuity of NCDs' response, despite government efforts. Respondents agreed that the enhanced personnel capacity and competencies to manage COVID-19 patients were positive, but noted a lack of guidance for redirecting care for chronic diseases, and advocated for digital innovation as a solution. Conclusion: this paper explores the perceptions of key stakeholders involved in the management of NCDs in Kenya to improve planning for future emergency responses. Gaps were identified in health system response and preparedness capacity during the pandemic including the perceived need to strengthen NCD services, with solutions offered to guide resilience efforts to protect the health system from disruption.

An Online Survey of the Perceptions of Clinical and Non-Clinical Professionals on Healthcare for Non-Communicable Diseases and COVID-19 Measures During the Pandemic in Malaysia.

Objectives: This study assesses the opinions of health professionals in Malaysia on the disruption of non-communicable disease (NCD) services during the COVID-19 pandemic from March 2020 to January 2022. Methods: We conducted a cross-sectional online survey with 191 non-clinical public health workers and clinical health service workers in Malaysia from November 2021 to January 2022. Participants were recruited by the Malaysian Ministry of Health using major networks including key experts and practitioners. Secondary respondents were subsequently enrolled through snowballing. Results: The most notable issues raised by the survey participants relate to NCD service disruption, the redirection of NCD care resources, and NCD care being overburdened post-pandemic. Respondents also reported accounts of resilience and prompt reaction from the healthcare system, as well as calls for innovation. Conclusion: Most respondents perceived that the challenges arising from COVID-19 were mostly managed well by the healthcare system, which was able to provide the necessary services to NCD patients during this health emergency. However, the study identifies gaps in the health system response and preparedness capacity, and highlights solutions for strengthening NCD services.

Assessing data availability of NCD prevention and control in six ASEAN countries based on WHO global monitoring framework and the progress monitor indicators.

BACKGROUND: To tackle noncommunicable disease (NCD) burden globally, two sets of NCD surveillance indicators were established by the World Health Organization: 25 Global Monitoring Framework (GMF) indicators and 10 Progress Monitoring Indicators (PMI). This study aims to assess the data availability of these two sets of indicators in six ASEAN countries: Cambodia, Lao PDR, Malaysia, Myanmar, Thailand, and Vietnam. METHODS: As data on policy indicators were straightforward and fully available, we focused on studying 25 non-policy indicators: 23 GMFs and 2 PMIs. Gathering data availability of the target indicators was conducted among NCD surveillance experts from the six selected countries during May-June 2020. Our research team found information regarding whether the country had no data at all, was using WHO estimates, was providing 'expert judgement' for the data, or had actual data available for each target indicator. We triangulated their answers with several WHO data sources, including the WHO Health Observatory Database and various WHO Global Reports on health behaviours (tobacco, alcohol, diet, and physical activity) and NCDs. We calculated the percentages of the indicators that need improvement by both indicator category and country. RESULTS: For all six studied countries, the health-service indicators, based on responses to the facility survey, are the most lacking in data availability (100% of this category's indicators), followed by the health-service indicators, based on the population survey responses (57%), the mortality and morbidity indicators (50%), the behavioural risk indicators (30%), and the biological risk indicators (7%). The countries that need to improve their NCD surveillance data availability the most are Cambodia (56% of all indicators) and Lao PDR (56%), followed by Malaysia (36%), Vietnam (36%), Myanmar (32%), and Thailand (28%). CONCLUSION: Some of the non-policy GMF and PMI indicators lacked data among the six studied countries. To achieve the global NCDs targets, in the long run, the six countries should collect their own data for all indicators and begin to invest in and implement the facility survey and the population survey to track NCDs-related health services improvements once they have implemented the behavioural and biological Health Risks Population Survey in their countries.

Identifying the necessary capacities for the adaptation of a diabetes phenotyping algorithm in countries of differing economic development status.

BACKGROUND: In 2019, the World Health Organization recognised diabetes as a clinically and pathophysiologically heterogeneous set of related diseases. Little is currently known about the diabetes phenotypes in the population of low- and middle-income countries (LMICs), yet identifying their different risks and aetiology has great potential to guide the development of more effective, tailored prevention and treatment. OBJECTIVES: This study reviewed the scope of diabetes datasets, health information ecosystems, and human resource capacity in four countries to assess whether a diabetes phenotyping algorithm (developed under a companion study) could be successfully applied. METHODS: The capacity assessment was undertaken with four countries: Trinidad, Malaysia, Kenya, and Rwanda. Diabetes programme staff completed a checklist of available diabetes data variables and then participated in semi-structured interviews about Health Information System (HIS) ecosystem conditions, diabetes programme context, and human resource needs. Descriptive analysis was undertaken. RESULTS: Only Malaysia collected the full set of the required diabetes data for the diabetes algorithm, although all countries did collect the required diabetes complication data. An HIS ecosystem existed in all settings, with variations in data hosting and sharing. All countries had access to HIS or ICT support, and epidemiologists or biostatisticians to support dataset preparation and algorithm application. CONCLUSIONS: Malaysia was found to be most ready to apply the phenotyping algorithm. A fundamental impediment in the other settings was the absence of several core diabetes data variables. Additionally, if countries digitise diabetes data collection and centralise diabetes data hosting, this will simplify dataset preparation for algorithm application. These issues reflect common LMIC health systems' weaknesses in relation to diabetes care, and specifically highlight the importance of investment in improving diabetes data, which can guide population-tailored prevention and management approaches.

Five-year LDL-cholesterol trend and its predictors among type 2 diabetes patients in an upper-middle-income country: a retrospective open cohort study.

Background: Patients with diabetes have increased risks of cardiovascular diseases (CVD), and their LDL-cholesterol (LDL-C) has to be treated to target to prevent complications. We aim to determine the LDL-C trend and its predictors among patients with type 2 diabetes (T2D) in Malaysia. Methods: This was a retrospective open cohort study from 2013 to 2017 among T2D patients in public primary health care clinics in Negeri Sembilan state, Malaysia. Linear mixed-effects modelling was conducted to determine the LDL-C trend and its predictors. The LDL-C target for patients without CVD was <2.6 mmol/L, whereas <1.8 mmol/L was targeted for those with CVD. Results: Among 18,312 patients, there were more females (55.9%), adults ≥60 years (49.4%), Malays (64.7%), non-smokers (93.6%), and 45.3% had diabetes for <5 years. The overall LDL-C trend reduced by 6.8% from 2.96 to 2.76 mmol/L. In 2017, 16.8% (95% CI: 13.2-21.0) of patients without CVD and 45.8% (95% CI: 44.8-46.8) of patients with CVD achieved their respective LDL-C targets. The predictors for a higher LDL-C trend were younger adults, Malay and Indian ethnicities, females, dyslipidemia, and diabetes treatment with lifestyle modification and insulin. Longer diabetes duration, obesity, hypertension, retinopathy, statin therapy, achievement of HbA1c target and achievement of BP target were independent predictors for a lower LDL-C trend. Conclusions: The LDL-C trend has improved, but there are still gaps between actual results and clinical targets. Interventions should be planned and targeted at the high-risk populations to control their LDL-C.

Community priorities for obesity prevention among low-income adults in Kuala Lumpur: a discrete choice experiment.

Non-communicable diseases and associated risk factors, such as obesity, are prevalent and increasing in Malaysia. To address this burden and the heightened vulnerability of low-income communities to these risk factors, the Better Health Programme Malaysia conducted a partial-profile discrete choice experiment (DCE) to inform the design of a community-based obesity-prevention programme. The DCE survey was conducted with community members (n = 1453) from three publicly supported low-cost, high-rise flat complexes in urban Kuala Lumpur. In the survey, community members were asked to choose between different sets of potential evidence-based interventions for obesity prevention. Their responses to these choice tasks were analysed to quantify preferences for these different health interventions using a random utility maximization model. Based on these results, we determined participants' relative prioritization of the different options. The most preferred interventions were those that reduced the price of fruit and vegetables; altered cooking practices at restaurants and food vendors to reduce salt, sugar and oil; and offered reward incentives for completing online educational activities. Community members did not prioritize several evidence-based interventions, including changes to product placement or product labelling, suggesting that these effective approaches may be less familiar or simply not preferred by respondents. The DCE enabled the clear articulation of these community priorities for evidence-based interventions that focus on the supply and promotion of affordable healthy foods within the local food environment, as well as community demand for healthier food options.

Non-communicable diseases (NCDs) and the factors that increase NCD risk, such as obesity, are widespread and increasing in Malaysia. Low-income communities are particularly vulnerable to these risk factors. The Better Health Programme (BHP) Malaysia conducted a discrete choice experiment (DCE) to elicit community member preferences for evidence-based health promotion interventions to prevent obesity and NCDs. DCE is a research method used to identify participant preferences between different pre-determined options. The DCE survey was conducted with community members (n = 1453) from three publicly supported low-cost, high-rise flat complexes in urban Kuala Lumpur. In the survey, community members were asked to choose between different potential sets of interventions to alter the environment to prevent obesity. Based on their responses, we determined which interventions were most preferred in each community. The most preferred interventions were those that reduced the price of fruit and vegetables; altered cooking practices at restaurants and food vendors to reduce salt, sugar and oil; and offered rewards for completing online educational activities. The survey enabled the clear articulation of these community priorities for evidence-based interventions. These priorities were used to design the BHP Malaysia intervention programme.

Eighteen months into the COVID-19 pandemic: The prevalence of depression, anxiety, and stress symptoms in Southeast Asia and the associated demographic factors.

Mental health has become a growing concern in the wake of the COVID-19 pandemic. We sought to determine the prevalence of mental health symptoms 18 months after the pandemic's declaration. Our cross-sectional study conducted among 18- to 65-year-old adults (N = 33,454) in October 2021 using the Depression, Anxiety and Stress Scales (DASS-21) found a high prevalence of severe to extremely severe anxiety (49%), depression (47%) and stress (36%) symptoms in Malaysia, Indonesia, Thailand, and Singapore. Multiple logistic regression showed that female and non-binary genders were associated with increased odds of severe/extremely severe symptoms of anxiety (female: aOR 1.44 [95% CI 1.37-1.52]; non-binary aOR 1.46 [1.16-1.84]), depression (female: aOR 1.39 [1.32-1.47]; non-binary aOR 1.42 [1.13-1.79]), and stress (female: aOR 1.48 [CI 1.40-1.57]; non-binary aOR 1.42 [1.12-1.78]). In all three symptom domains, the odds of severe/extremely severe symptoms decreased across age groups. Middle- and high-income respondents had lower odds of reporting severe/extremely severe anxiety (middle-income: aOR 0.79 [0.75-0.84]; high-income aOR 0.77 [0.69-0.86]) and depression (middle-income: aOR 0.85 [0.80-0.90]; high-income aOR 0.84 [0.76-0.94]) symptoms compared to low-income respondents, while only middle-income respondents had lower odds of experiencing severe/extremely severe stress symptoms (aOR 0.89 [0.84-0.95]). Compared to residents of Malaysia, residents of Indonesia were more likely to experience severe/extremely severe anxiety symptoms (aOR 1.08 [1.03-1.15]) but less likely to experience depression (aOR 0.69 [0.65-0.73]) or stress symptoms (aOR 0.92 [0.87-0.97]). Respondents living in Singapore had increased odds of reporting severe/extremely severe depression symptoms (aOR 1.33 [1.16-1.52]), while respondents residing in Thailand were more likely to experience severe/extremely severe stress symptoms (aOR 1.46 [1.37-1.55]). This study provides insights into the impacts of the COVID-19 pandemic on the point prevalence of psychological distress in Southeast Asia one and a half years after the beginning of the pandemic.

Evaluating the sustainability of non-communicable diseases programs in Malaysia.

BACKGROUND: The substantial rise in non-communicable diseases (NCDs) over the last two decades poses a major concern to the healthcare services in Malaysia. This study aimed to evaluate the sustainability of the current NCDs programs and identify the challenges and factors impeding the sustainability of the NCDs program implemented under the National Strategic Plan. METHODS: This study applied the mixed-method approach using the Program Sustainability Assessment Tool (PSAT) to assess the eight domains for program sustainability combined with 5 open-ended questions. The survey was administered to key leaders from the district health offices in Malaysia. The mean score for each sustainability domain and the overall mean sustainability score were determined. Descriptive statistics and thematic analysis were conducted using Statistical Package for the Social Sciences (SPSS) version 25 and NVivo version 12, respectively. RESULTS: A total of 80 key leaders responded to the survey. Overall seven domains scored an average of ≥ 4 with an overall mean sustainability score of 4.2. The highest domain mean scores were 4.5 (communications) and 4.4 (organizational capacity). The lowest mean score domain was 3.8 (funding stability). The open-ended responses revealed challenges faced by department heads, including implementation difficulties, factors impeding the planning of the NCDs program for sustainability, lack of financial resources, lack of human resources, and support for staff training which are largely consistent with the scores of each domain. CONCLUSION: The sustainability factors affecting the NCDs program in Malaysia are qualitatively similar to other countries. For greater sustainability capacity, we should work towards strong leadership, strengthening funding stability, and incorporating evidence-based public health strategies in the implementation of the NCDs program.

Decriminalizing suicide attempt in the 21st century: an examination of suicide rates in countries that penalize suicide, a critical review.

BACKGROUND: Decriminalizing suicide may decrease overall suicide rates because then individuals who are at risk of suicide would be more willing to seek help from the community and from mental health professionals, therefore enabling early interventions for preventing suicidality. We aimed to examine the suicide trends over the last 20 years in 20 countries that still criminalize attempted suicide, and to compare the suicide rates of these 20 countries against the global average suicide rate and to a comparison sample of 20 countries that do not criminalize suicide, matched according to region and majority religion. METHODS: Age-standardized suicide rates were extracted from the WHO Global Health Estimates, available for the period 2000-2019. Population data were extracted from the World Bank. We analyzed only countries which criminalize attempted suicide under its criminal justice system. Countries were further categorized according to their membership in the Commonwealth of Nations and countries in Africa. Countries from the same region and with the same majority religion were chosen as a matching group. Joinpoint analysis was used to compare the trends of the two groups with the global average. RESULTS: Based on the 2019 WHO Global Health Estimates data, there is a large range in the suicide rates of the countries that criminalize attempted suicide, from 2.5 (Brunei) to 40.9 (Guyana) per 100,000 population. The mean suicide rate was 8.3 (Standard Deviation = 10.6). Out of the 20 countries, seven have suicide rates higher than the global average, covering a total population of about 387.3 million. Of these seven countries, five are in the African region. The other thirteen countries have suicide rates between 2.5 to 8.2. Mean scores of the countries which criminalized attempted suicide was lower than the global average and 20 comparison countries over the 20 years, but average annual percentage in the decrease of suicide was greater for countries in which attempted suicide was not criminalized. CONCLUSIONS: Based on our review, there was no substantial evidence here to indicate that countries which criminalized attempted suicide had consistently lower suicide rates compared to the global average. There is a need to acknowledge that the currently available evidence is inadequate to definitively claim that criminalizing suicide is beneficial or harmful for the reduction of suicide rate for the entire populations. Future studies should continue to evaluate the unique effects of decriminalizing attempted suicide while controlling for other key associated factors.