Indian diabetes risk score according to menopausal status in Asian Indian women: The Santiniketan Women study

Body mass index modulates the association between CDKAL1 rs10946398 variant and type 2 diabetes among Taiwanese women

CDKAL1 rs10946398 is a type 2 diabetes (T2D)-associated variant. It is a new body mass index (BMI)-associated variant in Asian populations. We investigated the association between rs10946398 and T2D among 9908 participants aged 30–70 years based on BMI: normal weight; 18.5 ≤ BMI < 24 kg/m², overweight; 24 ≤ BMI < 27 kg/m², and obesity; BMI ≥27 kg/m². The CC genotype conferred a higher risk of T2D than the CA genotype. The odds ratios (ORs) were 1.83; 95% confidence interval (CI) 1.49–2.26 and 1.20; 95% CI 1.02–1.40, respectively. The C allele was the significant risk allele compared with A allele (OR = 1.32; 95% CI 1.19–1.47). For normal, overweight and obese participants with CC genotype, the ORs were respectively 1.69; 95% CI 1.02–2.81, 2.34; 95% CI 1.50–3.66, and 1.58; 95% CI 1.02–2.45 among men and 1.22; 95% CI 0.67–2.22, 2.42; 95% CI 1.30–4.52, and 2.3; 95% CI 1.19–4.50 among women. The C allele ORs were higher in obese and overweight women. In conclusion, the rs10946398 CC/CA genotypes, as well as the C allele increased the risk of T2D. The ORs were higher in women who were overweight and obese than in those with normal weight. Nonetheless, significant results were prominent only among those with CC genotype and C allele.

Indian diabetes risk score and clustering of metabolic syndrome phenotype in a rural community of Asian Indian origin

AIMS

This study was aimed at finding out the efficacy of Indian Diabetes Risk Score (IDRS) in identifying the individuals with increased risk of developing metabolic syndrome (MS) phenotype.

METHODS

A total of 1007 (645 males and 362 females) rural participants aged ≥ 20 years took part in the study. Anthropometric measures and blood pressure were collected using standard techniques. Metabolic profiles and insulin were also estimated and HOMA-IR was calculated accordingly.

RESULTS

There existed significant differences by IDRS categories for waist circumference, waist-hip ratio, waist-height ratio, body mass index, percentage body fat, sum of four skinfolds, total cholesterol, triglycerides, high, low and very low density lipoprotein cholesterol, fasting blood glucose, insulin, insulin resistance, systolic and diastolic blood pressure and mean arterial pressure. Significant (p<0.001) age group differences were also evident for IDRS categories. Remarkably higher prevalence of MS was observed with increasing IDRS.

CONCLUSION

IDRS could be used to identify the individuals with increased risk of developing MS phenotype in this population.

Overweight, obesity and related non-communicable diseases in Asian Indian girls and women

The prevalence of obesity is rising globally and in India. Overweight, obesity and related diseases need to be delineated in Asian Indian women. A literature search was done using key words like 'obesity', 'Asian Indian women', 'body fat distribution', 'type 2 diabetes', 'fertility', 'polycystic ovarian disease', metabolic syndrome', 'cardiovascular disease', 'non-alcoholic fatty liver disease', 'gender', 'sex' and 'prevalence' up to September 2012 in Pubmed and Google Scholar search engines. This review highlights the Asian Indian body composition with regards to obesity and provides a collated perspective of gender-specific prevalence of the co-morbidities. Recent data show that women (range of prevalence of overweight and obesity from different studies 15-61%) have higher prevalence of overweight and obesity as compared with men (range of prevalence of overweight and obesity from different studies 12-54%) in India and that obesity is increasing in the youth. The prevalence of overweight and obesity in both men and women steeply rose in a Punjabi community from Jaipur. Importantly, prevalence of abdominal obesity has been consistently higher in women than in men. The lowest prevalence (6.0%) of type 2 diabetes mellitus in women is reported from South India (rural Andhra Pradesh; 2006) and the highest (14.0%) by the National Urban Diabetes Survey (2001). Although the clustering of cardiovascular disease risk factors was generally high, it increased further in post-menopausal women. There are a number of factors that predispose Indian women to obesity; sedentary behaviour, imbalanced diets, sequential and additive postpartum weight gain and further decrease in physical activity during this period and cultural issues. In view of these data, preventive measures should be specifically targeted to Indian women.

Expanding role of the Madras Diabetes Research Foundation - Indian Diabetes Risk Score in clinical practice

The Indian Diabetes Risk Score was initially developed by the Madras Diabetes Research Foundation (MDRF-IDRS) to help detect undiagnosed Type 2 diabetes (T2DM) in the community. Soon it was found that the MDRF-IDRS could also help to predict incident diabetes, metabolic syndrome, coronary artery disease (CAD), non-alcoholic fatty liver disease as well as sleep disorders in the community. It helps to differentiate T2DM from non-T2DM. Finally, it also helps to identify those with CAD, peripheral vascular disease and neuropathy among those with T2DM. Thus, the MDRF-IDRS is a simple, virtually 'no cost' tool which is useful in several clinical and epidemiological settings.

Prevalence of cardiovascular disease risk factors in people of Asian Indian origin: Age and sex variation

BACKGROUND

No study has been undertaken on people of Asian Indian origin to investigate the age and sex variation in the prevalence of cardiovascular disease (CVD) risk factors.

OBJECTIVES

To investigate the age and sex variation in the prevalence of CVD risk factors among the people of Asian Indian origin.

MATERIALS AND METHODS

A total of 682 (302 males and 380 females) participants aged 25-85 years took part in the study. The subjects were categorized into 4 groups, namely, Group I (25-34 years), Group II (35-44 years), Group III (45-54 years), and Group IV (55 years and above). Height, weight, and the circumferences of minimum waist (MWC) and maximum hip were collected using standard techniques. Waist-hip ratio (WHR) was then calculated. Percentage of body fat (%BF) and body mass index (BMI) were measured using an Omron body fat analyzer. Left arm systolic (SBP) and diastolic (DBP) blood pressure were taken from each participant with the help of an Omron MI digital electronic blood/pulse monitor. Metabolic profiles, namely, total cholesterol (TC), triglyceride (TG), high (HDL), low (LDL), very low-density lipoprotein (VLDL), and fasting blood glucose (FBG) were also measured using an autoanalyzer.

RESULTS

One-way analysis of variance revealed significant differences for age, BMI, MWC, WHR, SBP, DBP, TC, TG, LDL, VLDL, and TC:HDL and TG:HDL ratios across the groups. It was observed that there were significant sex-specific group differences (male [χ(2) (12)] =29.22, P < 0.01 and female [χ(2) (12)] =56.69, P < 0.001) for obesity, high BP, high TC, high TG, and high FBG. But no significant group-specific sex difference was evident for either of the risk factors, except for Group IV.

CONCLUSION

Age irrespective of sex modulates CVD risk factors and warranted prevention as early as middle age.