Aims: We examined the association between sex, age, temporal trends, and glycemic control among people with type 2 diabetes (T2D) in a multi-ethnic middle-income Asian country.
Methods: Using the National Diabetes Registry (2011-2020), we analyzed data for 221,769 adult Malaysians with T2D.We used quantile regressions to estimate the association of sex, age, and their interaction on HbAlevels at the 5th, 50th, and 95thpercentile and logistic regression to estimate the odds of good control (HbA < 7 %).
Treatment intensification is essential to ensure guideline targets are attained in diabetes patients. The failure to intensify treatment when the targets are not achieved is therapeutic inertia. This study aimed to determine the proportions and factors associated with treatment intensification and therapeutic inertia of antihypertensive therapy in type 2 diabetes patients with uncontrolled hypertension in Malaysia.
View Article and Find Full Text PDFMalays Fam Physician
April 2024
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.
View Article and Find Full Text PDFObjective: 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).
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.
View Article and Find Full Text PDFThe 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.
View Article and Find Full Text PDFIn 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.
View Article and Find Full Text PDFBMJ Open
October 2023
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.
View Article and Find Full Text PDFDiabetes 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.
View Article and Find Full Text PDFAims: 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.
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.
View Article and Find Full Text PDFBackground: 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.
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.
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.
View Article and Find Full Text PDFBackground: 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.
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 ( = 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.
View Article and Find Full Text PDFBackground: 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.
Background: The COVID-19 pandemic led Malaysia to introduce movement control orders (MCOs). While MCOs were intended to slow the spread of COVID-19, the effects of such measures on the noncommunicable disease (NCD) risk factors have not been fully explored. This exploratory study aimed to understand the effect of the MCO on the eating habits and physical activity levels of the urban poor in Malaysia as well as potential health promotion interventions during the COVID-19 pandemic.
View Article and Find Full Text PDFBackground: During periods of high community transmission of COVID-19, the public hospitals in Malaysia, an upper middle-income country, have been forced to scale down elective surgeries, prioritize cancer treatments based on treatment benefits, and postpone non-emergency imaging procedures. These inevitably led to disruptions in cancer care delivery within the public health care system. This study aims to explore the facilitators and barriers faced by healthcare providers and cancer survivors in cancer care, and to co-design a guideline to maintain the delivery of cancer care amid the disaster situations.
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