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
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.
Objective measurement of physical activity (PA) and sedentary behavior (SB) associated with metabolic syndrome (MetS) has gained more attention among researchers in recent years. Although almost similar trends of results have been reported worldwide, they were not always statistically significant. This systematic review summarizes the evidence of observational studies reporting the associations between objectively measured PA, SB, and MetS in adults. Registration in PROSPERO was made (CRD42017078929). Literature search was conducted in the PubMed database for observational studies associating objectively measured PA and SB with MetS among adults. Secondary manual search was also conducted to find more related studies. A total of 44 studies were included in this systematic review. The quality score of studies obtained using National Institutes of Health Quality Assessment Tool ranged between 4 and 11. For total PA, most studies showed negative association with MetS. Similar association with MetS was reported in most studies assessing moderate-to-vigorous PA (MVPA) (total, bouts, sporadic), vigorous-intensity PA (VPA) (total, bouts), moderate-intensity PA (MPA) (total, bouts), and light-intensity PA (LIPA) bouts. However, more studies assessing LIPA total and LIPA sporadic found no significant association with MetS, with only a few studies reporting negative association. Meanwhile, all studies assessing step counts reported negative association with MetS. In contrast, MetS was positively associated in all studies investigating physical inactivity. MetS was also positively associated in most studies reporting sedentary (SED) time and bouts, while SED breaks showed no significant association with MetS. Further studies are required to ascertain the interaction and independent contribution of objectively measured PA and SB to the overall risk of MetS.
Background: This retrospective cohort study aimed to examine the interaction effect between puberty stage and weight status on individual and clustering of cardiometabolic risk factors (CMRFs) among Mexican American children and adolescents. A total of 333 children and adolescents (aged 8-18 years) enrolled in the Cameron County Hispanic Cohort (CCHC) from 2014 to 2020 were included in the study. Methods: CCHC is a longitudinal, randomly recruited cohort based on the United States Census tracts/blocks of Mexican Americans living on the Texas-Mexico border. Individual CMRFs, including high blood pressure, central obesity, hypertriglyceridemia, low high-density lipoprotein cholesterol, and insulin resistance (IR) were assessed. Clustering of CMRFs is defined as the presence of three or more individual CMRFs. Puberty stages were assessed using the Tanner criteria. Multivariable logistic regressions were conducted to assess the association of puberty, weight status, and the interaction of the two main exposures with individual and clustering of CMRFs. Results: We observed that weight status had a dominant effect on all CMRF measures. The effect was especially prominent on central obesity and clustering of CMRFs. There were 95.4% of children with central obesity and 98.4% of those with clustering of CMRF were either overweight or obese. Entering puberty was associated with an increased risk of having IR [Tanner stage 2 vs. 1: odds ratio (OR) = 3.25, 95% confidence interval (95% CI) 1.28-8.27; Tanner stage 3 vs. 1: OR = 3.50, 95% CI 1.45-8.46] and hypertriglyceridemia (Tanner stage 2 vs. 1: OR = 2.67, 95% CI 1.11-6.45). However, the effects were not observed among those reaching the end of puberty (Tanner stage 4 and 5). Conclusions: A significant interaction effect between weight status and puberty was not detected on any individual CMRF and in the clustering of CMRFs. Other factors positively associated with individual CMRFs, especially IR, were being female and having a family history of diabetes.
Background: Serum gamma-glutamyltransferase (γ-GT), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) levels often increase in metabolic diseases. Objective: This study was conducted to determine which liver enzymes are strongly associated with metabolic syndrome (MetS), how they interact to produce different probability estimates, and what cutoff levels should be used to guide clinical decision-making. Methods: The researchers examined the insurance-based medical checkup data of 293,610 employees ≥35 years years of age, who underwent medical checkups between April 1, 2016, and March 31, 2017. Liver enzyme levels were grouped into quartiles. The association and interaction of liver enzymes with MetS were examined using logistic regression, and receiver operating characteristic (ROC) analyses were used to determine the optimal cutoff values for each liver enzyme in detecting the prevalence of MetS. Results: High levels of γ-GT and ALT were more strongly associated with MetS than AST. At various levels, the tested liver enzymes were found interactive, and associated with the likelihood of MetS prevalence. ROC analysis underscored the significance of all liver enzymes in predicting the development of MetS. The cutoff values for each liver enzyme were determined. Conclusion: This findings of this study directly support the identification of MetS risks within the population, prioritize prevention strategies, and potentially inform policy formulation.