Fasting glucose and cardiovascular risk factors in an urban population.

OBJECTIVE: To test the hypothesis that blood glucose levels in the range of normoglycemia are associated with increased cardiovascular risk we performed an epidemiological study in an urban population. METHODS: Randomly selected adults > or = 20 years were studied using stratified sampling. Target sample was 1800 (men 960, women 840) of which 1123 subjects participated. Blood samples were available in 1091 subjects (60.6%, men 532, women 559). Measurement of anthropometric variables, blood pressure, fasting blood glucose and lipids was performed. Cardiovascular risk factors were determined using US Adult Treatment Panel-3 guidelines. Pearson's correlation coefficients (r) of fasting glucose with various risk factors were determined. Fasting glucose levels were classified into various groups as < 75 mg/dl, 75-89 mg/dl, 90-109 mg/dl, 110-125 mg/dl and > 126 mg/dl or known diabetes. Prevalence of cardiovascular risk factors was determined in each group. RESULTS: There was a significant positive correlation of fasting glucose in men and women with body mass index (r = 0.20, 0.12), waist-hip ratio (0.17, 0.09), systolic blood pressure (0.07, 0.22), total cholesterol (0.21, 0.15) and triglycerides (0.21, 0.25). Prevalence (%) of cardiovascular risk factors in men and women was smoking/tobacco use in 37.6 and 11.6, hypertension in 37.0 and 37.6, overweight and obesity in 37.8 and 50.3, truncal obesity in 57.3 and 68.0, high cholesterol > or = 200 mg/dl in 37.4 and 45.8, high triglycerides > or = 150 mg/dl in 32.3 and 28.6 and metabolic syndrome in 22.9 and 31.6 percent. In various groups of fasting glucose there was an increasing trend in prevalence of overweight/obesity, hypertension, hypercholesterolaemia, hypertriglyceridaemia, and metabolic syndrome (Mantel-Haenzel X2 for trend, p < 0.05) and fasting glucose < 75 mg/dl was associated with the lowest prevalence of these risk factors. CONCLUSIONS: There is a continuous relationship of fasting glucose levels with many cardiovascular risk factors and level < 75 mg/dl is associated with the lowest prevalence.

High prevalence of multiple coronary risk factors in Punjabi Bhatia community: Jaipur Heart Watch-3.

BACKGROUND: Studies among emigrant Indian populations have shown a high prevalence of obesity and many coronary risk factors in Bhatia community. To determine the prevalence of risk factors in this community within India we performed an epidemiological study. METHODS AND RESULTS: An ethnic-group sample survey to determine prevalence of cardiovascular risk factors was performed using community registers for enrollment. Methodology used was similar to Jaipur Heart Watch studies performed in 1995 and 2002. We invited 600 randomly selected subjects listed in Punjabi Bhatia community registers and could examine 458 (76.7%) persons (men 226, women 232). Evaluation for coronary risk factors, anthropometric measurements, blood pressure, electrocardiogram, fasting blood glucose and serum lipids was performed using standard definitions. Mean age was 43.2 +/- 14.6 years in men and 44.7 +/- 15.3 years in women. In both men and women there was a high prevalence of family history of coronary heart disease in 45 (19.9%) and 50 (21.6%), family history of diabetes in 96 (42.5%) and 77 (33.2%), sedentary habits in 82 (36.3%) and 73 (31.5%), smoking or tobacco use in 59 (26.1%) and 4 (1.7%), overweight or obesity (body mass index > or = 25 kg/m2) in 123 (54.0%) and 161 (69.4%), severe obesity (body mass index >30 kg/m2) in 47 (20.8%) and 75 (32.3%), truncal obesity (waist-hip ratio: men >0.9, women >0.8) in 175 (77.4%) and 186 (80.2%), increased waist (waist size: men >102 cm, women >88 cm) in 78 (34.5%) and 129 (55.6%), hypertension (blood pressure > or = 140/90 mmHg) in 116 (51.3%) and 120 (51.3%), diabetes in 40 (17.7%) and 33 (14.2%), hypercholesterolemia (total cholesterol > or = 200 mg/dl) in 75 (33.2%) and 67 (28.9%), high triglycerides in 55 (24.3%) and 34 (14.7%), low high-density lipoprotein cholesterol in 169 (74.8%) and 155 (66.8%), and the metabolic syndrome (defined by American National Cholesterol Education Program) in 84 (36.2%) and 111 (47.8%) respectively. Body mass index correlated significantly with (age-adjusted r2 value--men, women) waist diameter (0.52, 0.12), waist-hip ratio (0.21, 0.10), truncal obesity (0.54, 0.60), systolic blood pressure (0.19, 0.16), diastolic blood pressure (0.12, 0.16), hypertension (0.19, 0.31), and metabolic syndrome (0.28, 0.44) (p<0.05). There was a significant linear relationship of body mass index with the prevalence of hypertension, hypercholesterolemia, diabetes (women), and the metabolic syndrome (chi2 for trend p<0.05). Prevalence of these risk factors was the lowest in subjects with body mass index <20 kg/m2. A multivariate ordinal logistic regression analysis revealed that obesity was independently associated with multiple risk factors characterized by metabolic syndrome after adjustment for age, hypertension, and diabetes in both men (odds ratio 2.45, 95% confidence intervals 1.69, 3.57) as well as in women (odds ratio 2.93, 95% confidence intervals 1.86, 4.61) (p<0.01). CONCLUSIONS: There is a high prevalence of obesity, abdominal obesity, hypertension, diabetes, lipid abnormalities and the metabolic syndrome in this community that is significantly greater than reported studies in Jaipur and urban populations elsewhere in India. Obesity correlates strongly with multiple coronary risk factors of which it is an important determinant.

Prevalence of coronary heart disease and risk factors in an urban Indian population: Jaipur Heart Watch-2.

BACKGROUND: The prevalence of risk factors for coronary heart disease has been inadequately studied in India. A repeat cross-sectional survey was carried out to evaluate the changes in the major coronary risk factors in the urban population of Jaipur previously studied in the early 1990s. METHODS AND RESULTS: Randomly selected adults > or =20 years of age were studied using stratified sampling. The target study sample was 1800 with a population proportionate gender distribution (males 960, females 840). Coronary risk factors, anthropometric variables, blood pressure, ECG, fasting blood glucose and lipids were evaluated. A total of 1123 subjects (62.4%) (males 550, females 573) were examined. Fasting blood samples were available in 523 males and 559 females. Overall coronary heart diesase prevalence, diagnosed by history or ECG changes, was found in 34 males (6.18%) and 58 females (10.12%). Risk factor prevalence showed that smoking/tobacco use was present in 201 males (36.5%) and 67 females (11.7%). Physical inactivity, either work-related or leisure time, was seen in 157 males (28.5%) and 130 females (22.7%). Hypertension (> or =140 and/or 90 mmHg) was present in 200 males (36.4%) and 215 females (37.5%). Diabetes diagnosed by history or fasting glucose > or =126 mg/dl was found in 72 males (13.1%) and 65 females (11.3%). Obesity, body mass index > or =27 kg/m2 was present in 135 males (24.5%) and 173 females (30.2%), while truncal obesity (waist:hip >0.9 males, >0.8 females) was found in 316 males (57.4%) and 392 females (68.4%). The most common dyslipidemia in both males and females was low HDL-cholesterol (<40 mg/dl: males 54.9%, females 54.2%). High total cholesterol levels of > or =200 mg/dl (males 37.4%, females 4.1%), high LDL-cholesterol levels of > or =130 mg/dl (males 37.0%, females 45.8%) and high levels of triglycerides > or = 150 mg/dl (males 32.3%, females 28.6%) were also seen in a significant number. Hypertension, obesity, truncal obesity, diabetes and dyslipidemias increased significantly with age in both males and females (Mantel-Haenzel chi2 for trend, p<0.05). CONCLUSIONS: There is a high prevalence of standard coronary risk factors--smoking, physical inactivity, hypertension, hypercholesterolemia, diabetes and obesity--as well as factors peculiar to south Asians--truncal obesity, low HDL-cholesterol and high triglycerides--in this urban Indian population. As compared to a previous study in the early 1900s in a similar population, there is a significant increase in the number of people with obesity, diabetes and dyslipidemias.