This review summarizes the current data on diabetes risk factors, prevalence, and prevention efforts in Asia and Asian migrant populations. Studies indicate that type 2 diabetes mellitus is a large and growing threat to public health in Asian populations. Furthermore, Asian subgroups (e.g., South Asians/Asian Indians, Chinese) have unique risk factor profiles for developing diabetes, which differ from other populations and between Asian ethnic groups. Lifestyle intervention programs are effective in preventing diabetes in Asians, as with other ethnicities. The strength of these findings is lessened by the lack of systematically collected data using objective measurements. Large epidemiologic studies of diabetes prevalence and risk factor profiles and translational trials identifying sustainable and culturally acceptable lifestyle programs for Asian subgroups are needed.
"Type 2 Diabetes Mellitus (T2DM) is a multifactorial disease involving both genetic and environment factors . Diabetes mellitus is generally classified into 4 groups based on their pathogenesis with T2DM as the most frequent group (90– 95%). "
[Show abstract][Hide abstract] ABSTRACT: Background: Type 2 Diabetes Mellitus (T2DM) is a multifactorial disease involving both genetic and also environmental factors. Potassium inwardly-rectifying channel, subfamily J, member 11 (KCNJ11) gene, an ATP-sensitive potassium channel-coding gene, contributes to insulin secretion. Objectives: This research aimed to investigate E23K polymorphism in KCNJ11 gene and insulin secretion in individuals with family history of T2DM (cases) and without family history of T2DM (controls). Method: This research was a case-control study involving 34 cases and 34 controls. E23K polymorphism of KCNJ11 was detected with PCR-RFLP. All of the obtained data were statistically analyzed with T-test, Mann-Whitney U-test, Chi-Square and One-Way ANOVA. Result: Frequency of AA genotype in individuals with family history of T2DM (41%) was higher than in individuals without family history of T2DM (6%) (p = 0.001). Frequency of A allele in individuals with family history of T2DM (68%) was higher than in individuals without family history of T2DM (38%) (p = 0.001). The risk of A allele in individuals with family history of T2DM was 3 times higher than in individuals without family history of T2DM (p = 0.001, OR 3.38, CI 95% 1.67-6.84). Homeostasis Model Assessment β (HOMA-β) values of AA genotype (85.44%. ±. 39.55) were lower than that of GA (212.20%. ±. 79.30) and GG (254.00%. ±. 61.98) genotypes (p = 0.000). Conclusion: The risk of having A allele in individuals with family history of T2DM is higher than that in individuals without family history of T2DM. HOMA-β values of AA genotype are lower than that of GA and GG genotypes.
Egyptian Journal of Medical Human Genetics 06/2015; 32(3). DOI:10.1016/j.ejmhg.2015.03.005
"Third, there may be population-specific genetic effects as a result of gene-gene and gene-environment interactions , . Asians have been reported to have unique risk factor profiles for developing diabetes that differ from those in Caucasians . All the above-mentioned factors might have contributed to the heterogeneous association results across ethnic groups. "
[Show abstract][Hide abstract] ABSTRACT: The evidence that the variants GCK rs1799884, GCKR rs780094, MTNR1B rs10830963 and G6PC2 rs560887, which are related to fasting plasma glucose levels, increase the risk of type 2 diabetes mellitus (T2DM) is contradictory. We therefore performed a meta-analysis to derive a more precise estimation of the association between these polymorphisms and T2DM.
All the publications examining the associations of these variants with risk of T2DM were retrieved from the MEDLINE and EMBASE databases. Using the data from the retrieved articles, we computed summary estimates of the associations of the four variants with T2DM risk. We also examined the studies for heterogeneity, as well as for bias of the publications.
A total of 113,025 T2DM patients and 199,997 controls from 38 articles were included in the meta-analysis. Overall, the pooled results indicated that GCK (rs1799884), GCKR (rs780094) and MTNR1B (rs10830963) were significantly associated with T2DM susceptibility (OR, 1.04; 95%CI, 1.01-1.08; OR, 1.08; 95%CI, 1.05-1.12 and OR, 1.05; 95%CI, 1.02-1.08, respectively). After stratification by ethnicity, significant associations for the GCK, MTNR1B and G6PC2 variants were detected only in Caucasians (OR, 1.09; 95%CI, 1.02-1.16; OR, 1.10; 95%CI, 1.08-1.13 and OR, 0.97; 95%CI, 0.95-0.99, respectively), but not in Asians (OR, 1.02, 95% CI 0.98-1.05; OR, 1.01; 95%CI, 0.98-1.04 and OR, 1.12; 95%CI, 0.91-1.32, respectively).
Our meta-analyses demonstrated that GCKR rs780094 variant confers high cross-ethnicity risk for the development of T2DM, while significant associations between GCK, MTNR1B and G6PC2 variants and T2DM risk are limited to Caucasians.
PLoS ONE 06/2013; 8(6):e67665. DOI:10.1371/journal.pone.0067665 · 3.23 Impact Factor
"One of the major findings of the present study is to detect the risk factors of prediabetes: urban area, high blood pressure, body fat percentage, and waist–hip ratio were associated with IGT; urban area, high blood pressure, and alcohol consumption were associated with IFG. These risk factors have been reported in many studies, and their different influences vary among countries
[3,5,6,28,29]. In terms of the relationship between alcohol consumption and hyperglycemia levels, there has not been reported previously in Vietnam although using rice wine is common seen in the rural areas. "
[Show abstract][Hide abstract] ABSTRACT: Background
Despite the increasing prevalence of type 2 diabetes in urban areas, relatively little has been known about its actual prevalence and its associations in rural areas, Vietnam. The purpose of this study was to evaluate the prevalence of impaired fasting glucose (IFG), impaired glucose tolerance (IGT), diabetes and their risk factors in a rural province, Vietnam.
A cross–sectional study with a representative sample was designed to estimate the hyperglycemia prevalence, using 75–g oral glucose tolerance test. Potential risk factors for hyperglycemia were analyzed using multinomial logistic regression, taken into account influences of socio–economic status, anthropometric measures, and lifestyle–related factors.
The age and sex–adjusted prevalence rates (95% CI) of isolated IFG, isolated IGT, combined IFG–IGT, and diabetes were 8.7 (7.0–10.5), 4.3 (3.2−5.4), 1.6 (0.9−2.3), and 3.7% (2.7–4.7%), respectively. There were still 73% of diabetic subjects without knowing the condition. Blood pressure, family history of diabetes, obesity–related measures (waist circumference, waist–hip ratio, body fat percentage, and abdominal obesity) were the independent risk factors for hyperglycemia (IFG, IGT, and diabetes).
The prevalence of hyperglycemia in rural areas has not been as sharply increased as that reported in urban cities, Vietnam. Blood pressure and obesity–related measures were the most significant predictors for hyperglycemia level and they can be taken into account in building prognosis models to early detection of diabetes in rural Vietnamese populations.
BMC Public Health 11/2012; 12(1):939. DOI:10.1186/1471-2458-12-939 · 2.26 Impact Factor
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