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  1. Moy FM, Bulgiba A
    BMC Public Health, 2010 Nov 06;10:678.
    PMID: 21054885 DOI: 10.1186/1471-2458-10-678
    BACKGROUND: Metabolic Syndrome is associated with increased risk for type 2 diabetes and cardiovascular diseases. However, different diagnostic criteria have been recommended by different expert groups. In Malaysia, there is a lack of research comparing these different diagnostic criteria. Therefore, it is our aim to study the concordance between the IDF and the modified NCEP ATP III definitions of Metabolic Syndrome among a Malay cohort in Kuala Lumpur; and to demonstrate if all participants have the same cardiometabolic risks.

    METHODS: This was an analytical cross sectional study. Ethics approval was obtained and informed consent was given by all participants. Anthropometric measurements, blood pressure, fasting blood glucose and lipid profile were taken following standard protocols.

    RESULTS: Metabolic Syndrome was diagnosed in 41.4% and 38.2% participants using the modified NCEP and IDF criteria respectively. Among those diagnosed with Metabolic Syndrome by modified NCEP, 7.6% were missed by the IDF criteria. Participants diagnosed by the modified NCEP criteria had lower BMI and waist circumference but had higher cardiometabolic risks than those diagnosed with both criteria. Their blood pressure, glucose, total cholesterol and triglyceride were more adverse than the IDF group. This demonstrated that central obesity may not be a prerequisite for the development of increased cardiometabolic risks within this Malay cohort.

    CONCLUSION: Metabolic syndrome is common in this Malay cohort regardless of the criterion used. The modified NCEP ATP III criteria may be more suitable in diagnosis of metabolic syndrome for this Malay cohort.

    Matched MeSH terms: Metabolic Syndrome X/ethnology
  2. Narayanan P, Meng OL, Mahanim O
    Metab Syndr Relat Disord, 2011 Oct;9(5):389-95.
    PMID: 21718129 DOI: 10.1089/met.2011.0014
    OBJECTIVE: The aim of this study was to determine the prevalence of metabolic syndrome and the most common combination of cardiometabolic disorders among different ethnic groups of obese adolescents in Malaysia.
    RESEARCH DESIGN AND METHODS: A cross-sectional study among 335 obese adolescent boys and girls aged 12-18 years from 10 randomly selected schools was conducted. After recording blood pressure and waist circumference (WC), a fasting blood sample was obtained and analyzed for glucose and lipids. Metabolic syndrome was diagnosed on the basis of adolescent metabolic syndrome criteria specified by National Cholesterol Education Program Adult Treatment Panel III if three of the five risk factors--hypertriglyceridemia, hyperglycemia, hypertension, low high-density lipoprotein C, and increased WC--were present. The prevalence among different ethnic groups was analyzed.
    RESULTS: The obesity rate among adolescents was 8.4%, and nearly one-third of the obese adolescents had metabolic syndrome. More than 90% of obese adolescents had at least one metabolic abnormality. Metabolic syndrome was more prevalent among obese boys (40.2%) compared to obese girls (17%). Boys had significantly higher mean WC and triglycerides and lower HDL-C (P value 0.0001). Increased WC and triglycerides and high blood pressure comprised the most prevalent (34.3%) risk factor combination followed by WC, low HDL, and high blood pressure (22.5%). Over all, Indians had the highest prevalence of metabolic syndrome (36.4%), followed by Chinese (33.8%) and Malays (27.4%). Elevated triglyceride levels were more prevalent among Chinese, hypertension among Malays, and the other three abnormalities among Indians.
    CONCLUSION: Indians had the highest prevalence of metabolic syndrome. Increased WC and triglycerides and high blood pressure comprised the most prevalent risk factor combination.
    Matched MeSH terms: Metabolic Syndrome X/ethnology*
  3. Lee SC, Hairi NN, Moy FM
    J Epidemiol, 2017 Mar;27(3):130-134.
    PMID: 28142038 DOI: 10.1016/j.je.2016.10.006
    BACKGROUND: Non-obese individuals could have metabolic disorders that are typically associated with elevated body mass index (BMI), placing them at elevated risk for chronic diseases. This study aimed to describe the prevalence and distribution of metabolically obese, non-obese (MONO) individuals in Malaysia.

    METHODS: We conducted a cross-sectional study involving teachers recruited via multi-stage sampling from the state of Melaka, Malaysia. MONO was defined as individuals with BMI 18.5-29.9 kg/m(2) and metabolic syndrome. Metabolic syndrome was diagnosed based on the Harmonization criteria. Participants completed self-reported questionnaires that assessed alcohol intake, sleep duration, smoking, physical activity, and fruit and vegetable consumption.

    RESULTS: A total of 1168 teachers were included in the analysis. The prevalence of MONO was 17.7% (95% confidence interval [CI], 15.3-20.4). Prevalence of metabolic syndrome among the normal weight and overweight participants was 8.3% (95% CI, 5.8-11.8) and 29.9% (95% CI, 26.3-33.7), respectively. MONO prevalence was higher among males, Indians, and older participants and inversely associated with sleep duration. Metabolic syndrome was also more prevalent among those with central obesity, regardless of whether they were normal or overweight. The odds of metabolic syndrome increased exponentially from 1.9 (for those with BMI 23.0-24.9 kg/m(2)) to 11.5 (for those with BMI 27.5-29.9 kg/m(2)) compared to those with BMI 18.5-22.9 kg/m(2) after adjustment for confounders.

    CONCLUSIONS: The prevalence of MONO was high, and participants with BMI ≥23.0 kg/m(2) had significantly higher odds of metabolic syndrome. Healthcare professionals and physicians should start to screen non-obese individuals for metabolic risk factors to facilitate early targeted intervention.

    Matched MeSH terms: Metabolic Syndrome X/ethnology
  4. Iqbal SP, Ramadas A, Fatt QK, Shin HL, Onn WY, Kadir KA
    PLoS One, 2020;15(3):e0224054.
    PMID: 32191727 DOI: 10.1371/journal.pone.0224054
    OBJECTIVES: Literature shows a high prevalence of MetS among Malaysians, varying across the major ethnicities. Since sociodemographic characteristics, lifestyle factors and diet habits of such communities have been reported to be diverse, the objective of this study was to investigate the association of various sociodemographic characteristics, lifestyle factors and diet habits with MetS overall, as well as with the three major ethnic communities in Malaysia, specifically.

    MATERIALS AND METHODS: We conducted a cross-sectional study among 481 Malaysians of ages 18 years and above living in the state of Johor, Malaysia. Information on demographics, lifestyle and diet habits were collected using a structured questionnaire. Harmonized criteria were used to assess the status of MetS. Multiple logistic regression was employed to determine any associations between sociodemographic and lifestyle factors and dietary behaviours with MetS.

    RESULTS: MetS was found among 32.2% of the respondents and was more prevalent among the Indians (51.9%), followed by the Malays (36.7%) and the Chinese (20.2%). Overall, increasing age (AOR = 2.44[95%CI = 1.27-4.70] at 40-49 years vs. AOR = 4.14[95%CI = 1.97-8.69] at 60 years and above) and Indian ethnicity (AOR = 1.95[95%CI = 1.12-3.38)] increased the odds of MetS, while higher education (AOR = 0.44[95%CI = 0.20-0.94] decreased the odds of MetS in this population. Quick finishing of meals (AOR = 2.17[95%CI = 1.02-4.60]) and low physical activity (AOR = 4.76[95%CI = 1.49-15.26]) were associated with increased odds of MetS among the Malays and the Chinese, respectively.

    CONCLUSION: The population of Johor depicts a diverse lifestyle and diet behaviour, and some of these factors are associated with MetS in certain ethnic groups. In the light of such differences, ethnic specific measures would be needed to reduce the prevalence of MetS among those in this population.

    Matched MeSH terms: Metabolic Syndrome X/ethnology*
  5. Chia PP, Fan SH, Say YH
    Ethn Dis, 2015;25(4):383-90.
    PMID: 26673968 DOI: 10.18865/ed.25.4.383
    This study aimed to investigate the association of peroxisome proliferator-activated receptor (PPAR) genes PPARα L162V, PPARγ2 C161T and PPARδ T294C single nucleotide polymorphisms (SNPs) with obesity and metabolic syndrome (Met-S) in a multi-ethnic population in Kampar, Malaysia.
    Matched MeSH terms: Metabolic Syndrome X/ethnology
  6. Rampal S, Mahadeva S, Guallar E, Bulgiba A, Mohamed R, Rahmat R, et al.
    PLoS One, 2012;7(9):e46365.
    PMID: 23029497 DOI: 10.1371/journal.pone.0046365
    The prevalence of metabolic syndrome is increasing disproportionately among the different ethnicities in Asia compared to the rest of the world. This study aims to determine the differences in the prevalence of metabolic syndrome across ethnicities in Malaysia, a multi-ethnic country.
    Matched MeSH terms: Metabolic Syndrome X/ethnology*
  7. Al-Hamodi Z, Ismail IS, Saif-Ali R, Ahmed KA, Muniandy S
    Cardiovasc Diabetol, 2011;10:23.
    PMID: 21414238 DOI: 10.1186/1475-2840-10-23
    Increased plasma plasminogen activator inhibitor-1 (PAI-1) activity and decreased tissue plasminogen activator (tPA) activity could be considered a true component of the metabolic syndrome (MetS) associated with an increased risk of developing cardiovascular diseases (CVD) and fibrinolytic abnormalities. The aim of this study was to investigate the association of tPA and its inhibitor PAI-1 with type 2 diabetes (T2D) and MetS and interrelationship between PAI-1 and tPA activities and antigens in Malaysian T2D and normal subjects.
    Matched MeSH terms: Metabolic Syndrome X/ethnology
  8. Moy FM, Loh DA
    Maturitas, 2015 Jul;81(3):389-93.
    PMID: 25987469 DOI: 10.1016/j.maturitas.2015.04.011
    To determine the prevalence of normal weight obesity among multi-ethnic women in Peninsular Malaysia and examine its associations with cardiometabolic risks and lifestyle behaviours.
    Matched MeSH terms: Metabolic Syndrome X/ethnology
  9. Kaur S, Yim HS, Abdul Jalil R, Mohd-Yusof BN, Jan Mohamed HJ
    J Immigr Minor Health, 2018 Dec;20(6):1380-1386.
    PMID: 29603090 DOI: 10.1007/s10903-018-0731-8
    There are only limited reports on Punjabi's health status in Malaysia. This cross-sectional study assessed the prevalence of metabolic syndrome (Mets) and its risk factors among 277 subjects recruited from the Malaysian Punjabi community. Overall prevalence of Mets was 43%, but 61% among females. Subjects classified with Mets had significantly (p 
    Matched MeSH terms: Metabolic Syndrome X/ethnology*
  10. Tan AKG, Dunn RA, Yen ST
    Metab Syndr Relat Disord, 2011 Dec;9(6):441-51.
    PMID: 21815810 DOI: 10.1089/met.2011.0031
    BACKGROUND: This study investigates ethnic disparities in metabolic syndrome in Malaysia.
    METHODS: Data were obtained from the Malaysia Non-Communicable Disease Surveillance-1 (2005/2006). Logistic regressions of metabolic syndrome health risks on sociodemographic and health-lifestyle factors were conducted using a multiracial (Malay, Chinese, and Indian and other ethnic groups) sample of 2,366 individuals.
    RESULTS: Among both males and females, the prevalence of metabolic syndrome amongst Indians was larger compared to both Malays and Chinese because Indians are more likely to exhibit central obesity, elevated fasting blood glucose, and low high-density lipoprotein cholesterol. We also found that Indians tend to engage in less physical activity and consume fewer fruits and vegetables than Malays and Chinese. Although education and family history of chronic disease are associated with metabolic syndrome status, differences in socioeconomic attributes do not explain ethnic disparities in metabolic syndrome incidence. The difference in metabolic syndrome prevalence between Chinese and Malays was not statistically significant. Whereas both groups exhibited similar obesity rates, ethnic Chinese were less likely to suffer from high fasting blood glucose.
    CONCLUSIONS: Metabolic syndrome disproportionately affects Indians in Malaysia. Additionally, fasting blood glucose rates differ dramatically amongst ethnic groups. Attempts to decrease health disparities among ethnic groups in Malaysia will require greater attention to improving the metabolic health of Malays, especially Indians, by encouraging healthful lifestyle changes.
    Study name: Malaysia Non-Communicable Disease Surveillance-1 (MyNCDS-1) survey
    Matched MeSH terms: Metabolic Syndrome X/ethnology*
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