Soneil Guptha

Prevalence and determinants of hypertension in the urban population of Jaipur in western India.

Objectives: To determine age-specific blood pressure levels and prevalence of hypertension in an urban Indian population. Design and setting: A cross-sectional survey in six randomly selected municipal blocks in Jaipur city, India. Subjects and methods: There were 2122 subjects (1415 male, 797 female) aged 20 years or more. Evaluation was by physician-administered questionnaire, physical examination and electrocardiography. Diagnosis of hypertension used World Health Organization (WHO) and USA Fifth Joint National Committee (JNC-V) guidelines. Hypertension was subclassified according to the Framingham Study criteria. Results: The mean±SD blood pressures (mmHg) were 125±19 systolic and 81 ±24 diastolic in men and 126±20 systolic and 81 ±12 diastolic in women. A significant correlation of blood pressure with increasing age groups was seen. The prevalence of hypertension according to the JNC-V criteria was 30% in men and 33% in women; by WHO criteria it was 11% in men and 12% in women and increased with age in all subjects. In the JNC-V hypertensive group borderline isolated systolic hypertension was present in 13% of men and 17% of women, definite isolated systolic hypertension was present in 7% of men and 2% of women, isolated diastolic hypertension was present in 65% of men and 57% of women and definite hypertension was present in 16% of men and 24% of women. Multivariate analysis revealed that age, smoking and higher body mass index were independently associated with higher prevalence of hypertension both in men and in women. Conclusions: A high prevalence of JNC-V-defined hypertension was found in an Indian urban population. Isolated diastolic hypertension was the commonest subtype. Significant determinants of hypertension were age, smoking and body mass index.

Association of educational, occupational and socioeconomic status with cardiovascular risk factors in Asian Indians: a cross-sectional study.

Background To determine correlation of multiple parameters of socioeconomic status with cardiovascular risk factors in India. Methods The study was performed at eleven cities using cluster sampling. Subjects (n = 6198, men 3426, women 2772) were evaluated for socioeconomic, demographic, biophysical and biochemical factors. They were classified into low, medium and high socioeconomic groups based on educational level (<10, 10–15 and >15 yr formal education), occupational class and socioeconomic scale. Risk factor differences were evaluated using multivariate logistic regression. Results Age-adjusted prevalence (%) of risk factors in men and women was overweight or obesity in 41.1 and 45.2, obesity 8.3 and 15.8, high waist circumference 35.7 and 57.5, high waist-hip ratio 69.0 and 83.8, hypertension 32.5 and 30.4, hypercholesterolemia 24.8 and 25.3, low HDL cholesterol 34.1 and 35.1, high triglycerides 41.2 and 31.5, diabetes 16.7 and 14.4 and metabolic syndrome in 32.2 and 40.4 percent. Lifestyle factors were smoking 12.0 and 0.5, other tobacco use 12.7 and 6.3, high fat intake 51.2 and 48.2, low fruits/vegetables intake 25.3 and 28.9, and physical inactivity in 38.8 and 46.1%. Prevalence of > = 3 risk factors was significantly greater in low (28.0%) vs. middle (23.9%) or high (22.1%) educational groups (p<0.01). In low vs. high educational groups there was greater prevalence of high waist-hip ratio (odds ratio 2.18, confidence interval 1.65–2.71), low HDL cholesterol (1.51, 1.27–1.80), hypertriglyceridemia (1.16, 0.99–1.37), smoking/tobacco use (3.27, 2.66–4.01), and low physical activity (1.15, 0.97–1.37); and lower prevalence of high fat diet (0.47, 0.38–0.57),overweight/obesity (0.68, 0.58–0.80) and hypercholesterolemia (0.79, 0.66–0.94). Similar associations were observed with occupational and socioeconomic status. Conclusions Low educational, occupational and socioeconomic status Asian Indians have greater prevalence of truncal obesity, low HDL cholesterol, hypertriglyceridemia, smoking or tobacco use and low physical activity and clustering of > = 3 major cardiovascular risk factors.

Normotension, Prehypertension, and Hypertension in Urban Middle-Class Subjects in India: Prevalence, Awareness, Treatment, and Control

OBJECTIVE We conducted a multisite study to determine the prevalence and determinants of normotension, prehypertension, and hypertension, and awareness, treatment, and control of hypertension among urban middle-class subjects in India. METHODS We evaluated 6,106 middle-class urban subjects (men 3,371; women, 2,735; response rate, 62%) in 11 cities for sociodemographic and biological factors. The subjects were classified as having normotension (BP < 120/80), prehypertension (BP 120-139/80-89), and hypertension (documented or BP ≥ 140/90). The prevalence of other cardiovascular risk factors was determined and associations evaluated through logistic regression analysis. RESULTS The age-adjusted prevalences in men and women of normotension were 26.7% and 39.1%, of prehypertension 40.2% and 30.1%, and of hypertension 32.5% and 30.4%, respectively. The prevalence of normotension declined with age whereas that of hypertension increased (P-trend < 0.01). A significant association of normotension was found with younger age, low dietary fat intake, lower use of tobacco, and low obesity (P < 0.05). The prevalence of hypercholesterolemia, diabetes, and metabolic syndrome was higher in the groups with prehypertension and hypertension than in the group with normotension (age-adjusted odds ratios (ORs) 2.0-5.0, P < 0.001). The prevalences in men and women, respectively, of two or more risk factors were 11.1% and 6.4% in the group with normotension, 25.1% and 23.3% in the group with prehypertension, and 38.3% and 39.1% in the group with hypertension (P < 0.01). Awareness of hypertension in the study population was in 55.3%; 36.5% of the hypertensive group were receiving treatment for hypertension, and 28.2% of this group had a controlled BP (< 140/90 mm Hg). CONCLUSIONS The study found a low prevalence of normotension and high prevalence of hypertension in middle-class urban Asian Indians. Significant associations of hypertension were found with age, dietary fat, consumption of fruits and vegetables, smoking, and obesity. Normotensive individuals had a lower prevalence of cardiometabolic risk factors than did members of the prehypertensive or hypertensive groups. Half of the hypertensive group were aware of having hypertension, a third were receiving treatment for it, and quarter had a controlled BP.

Twenty-year trends in cardiovascular risk factors in India and influence of educational status

Background: Urban middle-socioeconomic status (SES) subjects have high burden of cardiovascular risk factors in low-income countries. To determine secular trends in risk factors among this population and to correlate risks with educational status we performed epidemiological studies in India. Methods: Five cross-sectional studies were performed in middle-SES urban locations in Jaipur, India from years 1992 to 2010. Cluster sampling was performed. Subjects (men, women) aged 20–59 years evaluated were 712 (459, 253) in 1992–94, 558 (286, 272) in 1999–2001, 374 (179, 195) in 2002–03, 887 (414, 473) in 2004–05, and 530 (324, 206) in 2009–10. Data were obtained by history, anthropometry, and fasting blood glucose and lipids estimation. Response rates varied from 55 to 75%. Mean values and risk factor prevalence were determined. Secular trends were identified using quadratic and log-linear regression and chi-squared for trend. Results: Across the studies, there was high prevalence of overweight, hypertension, and lipid abnormalities. Age- and sex-adjusted trends showed significant increases in mean body mass index (BMI), fasting glucose, total cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides (quadratic and log-linear regression, p < 0.001). Systolic blood pressure (BP) decreased while insignificant changes were observed for waist–hip ratio and low-density lipoprotein (LDL) cholesterol. Categorical trends showed increase in overweight and decrease in smoking (p < 0.05); insignificant changes were observed in truncal obesity, hypertension, hypercholesterolaemia, and diabetes. Adjustment for educational status attenuated linear trends in BMI and total and LDL cholesterol and accentuated trends in systolic BP, glucose, and HDL cholesterol. There was significant association of an increase in education with decline in smoking and an increase in overweight (two-line regression p < 0.05). Conclusion: In Indian urban middle-SES subjects there is high prevalence of cardiovascular risk factors. Over a 20-year period BMI and overweight increased, smoking and systolic BP decreased, and truncal obesity, hypercholesterolaemia, and diabetes remained stable. Increasing educational status attenuated trends for systolic BP, glucose and HDL cholesterol, and BMI.

Cardiovascular risk according to educational status in India.

OBJECTIVE Influence of socioeconomic status on cardiovascular risk has not been well studied in low income countries. To determine risks in various educational status (ES) subjects we performed a study in India. METHODS Epidemiological study was performed in years 1999-2003 in Jaipur (India) for coronary risk factors among 1280 adults 20-59 years (men 619, women 661). ES was categorized into low (education ≤5 years); middle (6-12 years) and high (>12 years). Prevalence of risk factors and Framingham risk scores were determined. RESULTS Low ES was in 306, middle in 436 and high in 538. In low, middle and high ES respectively age-adjusted prevalence (%) of smoking was 19.0, 19.3, and 11.7; obesity 9.5, 16.7, and 22.1, hypertension 15.3, 30.5, and 44.0; hypercholesterolemia ≥200mg/dl 46.0, 48.4, and 54.6; low HDL cholesterol <40mg/dl 46.4, 56.4, and 38.3; metabolic syndrome 20.9, 25.7, and 28.6; and diabetes 6.9, 5.5, and 26.4. Framingham risk score was 5.7±4.8, 6.3±5.7 and 4.7±5.1 and calculated cardiovascular risk probability 5.2±5.7, 6.8±7.8 and 5.2±6.0 (P(trend)<0.05). Framingham risk score was significantly greater in low and middle ES (6.1±5.3) compared to high (4.7±5.1) (p<0.001). Adjustment for smoking attenuated the risk. CONCLUSION Low and middle educational status urban subjects in India have greater cardiovascular risk.

Secular trends in cholesterol lipoproteins and triglycerides and prevalence of dyslipidemias in an urban Indian population.

BackgroundCoronary heart disease is increasing in urban Indian subjects and lipid abnormalities are important risk factors. To determine secular trends in prevalence of various lipid abnormalities we performed studies in an urban Indian population.MethodsSuccessive epidemiological Jaipur Heart Watch (JHW) studies were performed in Western India in urban locations. The studies evaluated adults ≥ 20 years for multiple coronary risk factors using standardized methodology (JHW-1, 1993–94, n = 2212; JHW-2, 1999–2001, n = 1123; JHW-3, 2002–03, n = 458, and JHW-4 2004–2005, n = 1127). For the present analyses data of subjects 20–59 years (n = 4136, men 2341, women 1795) have been included. In successive studies, fasting measurements for cholesterol lipoproteins (total cholesterol, LDL cholesterol, HDL cholesterol) and triglycerides were performed in 193, 454, 179 and 252 men (n = 1078) and 83, 472, 195, 248 women (n = 998) respectively (total 2076). Age-group specific levels of various cholesterol lipoproteins, triglycerides and their ratios were determined. Prevalence of various dyslipidemias (total cholesterol ≥ 200 mg/dl, LDL cholesterol ≥ 130 mg/dl, non-HDL cholesterol ≥ 160 mg/dl, triglycerides ≥ 150 mg/dl, low HDL cholesterol <40 mg/dl, high cholesterol remnants ≥ 25 mg/dl, and high total:HDL cholesterol ratio ≥ 5.0, and ≥ 4.0 were also determined. Significance of secular trends in prevalence of dyslipidemias was determined using linear-curve estimation regression. Association of changing trends in prevalence of dyslipidemias with trends in educational status, obesity and truncal obesity (high waist:hip ratio) were determined using two-line regression analysis.ResultsMean levels of various lipoproteins increased sharply from JHW-1 to JHW-2 and then gradually in JHW-3 and JHW-4. Age-adjusted mean values (mg/dl) in JHW-1, JHW-2, JHW-3 and JHW-4 studies respectively showed a significant increase in total cholesterol (174.9 ± 45, 196.0 ± 42, 187.5 ± 38, 193.5 ± 39, 2-stage least-squares regression R = 0.11, p < 0.001), LDL cholesterol (106.2 ± 40, 127.6 ± 39, 122.6 ± 44, 119.2 ± 31, R = 0.11, p < 0.001), non-HDL cholesterol (131.3 ± 43, 156.4 ± 43, 150.1 ± 41, 150.9 ± 32, R = 0.12, p < 0.001), remnant cholesterol (25.1 ± 11, 28.9 ± 14, 26.0 ± 11, 31.7 ± 14, R = 0.06, p = 0.001), total:HDL cholesterol ratio (4.26 ± 1.3, 5.18 ± 1.7, 5.21 ± 1.7, 4.69 ± 1.2, R = 0.10, p < 0.001) and triglycerides (125.6 ± 53, 144.5 ± 71, 130.1 ± 57, 158.7 ± 72, R = 0.06, p = 0.001) and decrease in HDL cholesterol (43.6 ± 14, 39.7 ± 8, 37.3 ± 6, 42.5 ± 6, R = 0.04, p = 0.027). Trends in age-adjusted prevalence (%) of dyslipidemias in JHW-1, JHW-2, JHW-3 and JHW-4 studies respectively showed insignificant changes in high total cholesterol (26.3, 35.1, 25.6, 26.0, linear curve-estimation coefficient multiple R = 0.034), high LDL cholesterol ≥ 130 mg/dl (24.2, 36.2, 31.0, 22.2, R = 0.062), and high low HDL cholesterol < 40 mg/dl (46.2, 53.3, 55.4, 33.7, R = 0.136). Increase was observed in prevalence of high non-HDL cholesterol (23.0, 33.5, 27.4, 26.6, R = 0.026), high remnant cholesterol (40.1, 40.3, 30.1, 60.6, R = 0.143), high total:HDL cholesterol ratio ≥ 5.0 (22.2, 47.6, 53.2, 26.3, R = 0.031) and ≥ 4.0 (58.6, 72.5, 70.1, 62.0, R = 0.006), and high triglycerides (25.7, 28.2, 17.5, 34.2, R = 0.047). Greater correlation of increasing non-HDL cholesterol, remnant cholesterol, triglycerides and total:HDL cholesterol ratio was observed with increasing truncal obesity than generalized obesity (two-line regression analysis p < 0.05). Greater educational level, as marker of socioeconomic status, correlated significantly with increasing obesity (r2 men 0.98, women 0.99), and truncal obesity (r2 men 0.71, women 0.90).ConclusionIn an urban Indian population, trends reveal increase in mean total-, non-HDL-, remnant-, and total:HDL cholesterol, and triglycerides and decline in HDL cholesterol levels. Prevalence of subjects with high total cholesterol did not change significantly while those with high non-HDL cholesterol, cholesterol remnants, triglycerides and total-HDL cholesterol ratio increased. Increasing dyslipidemias correlate significantly with increasing truncal obesity and obesity.

Translating evidence into policy for cardiovascular disease control in India

Cardiovascular diseases (CVD) are leading causes of premature mortality in India. Evidence from developed countries shows that mortality from these can be substantially prevented using population-wide and individual-based strategies. Policy initiatives for control of CVD in India have been suggested but evidence of efficacy has emerged only recently. These initiatives can have immediate impact in reducing morbidity and mortality. Of the prevention strategies, primordial involve improvement in socioeconomic status and literacy, adequate healthcare financing and public health insurance, effective national CVD control programme, smoking control policies, legislative control of saturated fats, trans fats, salt and alcohol, and development of facilities for increasing physical activity through better urban planning and school-based and worksite interventions. Primary prevention entails change in medical educational curriculum and improved healthcare delivery for control of CVD risk factors-smoking, hypertension, dyslipidemia and diabetes. Secondary prevention involves creation of facilities and human resources for optimum acute CVD care and secondary prevention. There is need to integrate various policy makers, develop effective policies and modify healthcare systems for effective delivery of CVD preventive care.

Migrating husbands and changing cardiovascular risk factors in the wife: a cross sectional study in Asian Indian women

Objective The authors studied the influence of migration of husband on cardiovascular risk factors in Asian Indian women. Methods Population-based studies in women aged 35–70 years were performed in four urban and five rural locations. 4608 (rural 2604 and urban 2004) of the targeted 8000 (57%) were enrolled. Demographic details, lifestyle factors, anthropometry, fasting glucose and cholesterol were measured. Multivariate logistic and quadratic regression was performed to compare influence of migration and its duration on prevalence of risk factors. Results Details of migration were available in 4573 women (rural 2267, rural–urban migrants 455, urban 1552 and urban–rural migrants 299). Majority were married, and illiteracy was high. Median (interquartile) duration of residence in urban locations among rural–urban migrants was 9 (4–18) years and in rural areas for urban–rural migrants 23 (18–30) years. In rural, rural–urban migrants, urban and urban–rural migrants, age-adjusted prevalence (%) of risk factors was tobacco use 41.9, 22.7, 18.8 and 38.1; sedentary lifestyle 69.7, 82.0, 79.9 and 74.6; high-fat diet 33.3, 54.2, 66.1 and 61.1; overweight 21.3, 42.7, 46.3 and 29.7; large waist 8.5, 38.5, 29.2 and 29.2; hypertension 30.4, 49.4, 47.7 and 38.4; hypercholesterolaemia 14.4, 31.3, 26.6 and 9.1 and diabetes 3.9, 15.8, 14.9 and 8.4, respectively (p<0.001). In rural–urban migrants, there was a significant correlation of duration of migration with waist size, waist-to-hip ratio and systolic blood pressure (quadratic regression, p<0.001). Association of risk factors with migration remained significant, though attenuated, after adjustment for socioeconomic, lifestyle and obesity variables (logistic regression, p<0.01). Conclusions Compared with rural women, rural–urban migrants and urban have significantly greater cardiometabolic risk factors. Prevalence is lower in urban–rural migrants. There is significant correlation of duration of migration with obesity and blood pressure. Differences are attenuated after adjusting for social and lifestyle variables.

Metabolic cardiovascular risk factors worsen continuously across the spectrum of body mass index in Asian Indians

OBJECTIVES To determine relationship of body mass index (BMI) with multiple cardiovascular risk factors. METHODS Population-based surveys were performed and 1893 subjects aged 20-59 years evaluated. Data were collected using anthropometry and fasting glucose and lipid estimation. Statistical analyses were performed using curve fit and logistic regression. RESULTS Body mass index was correlated significantly (Rho, R(2)) with weight (0.80, 0.64), waist (0.74, 0.55) and waist hip ratio (0.24, 0.06) (P < 0.05). Linear relationship was observed with systolic blood pressure (SBP) (0.39, 0.15), diastolic blood pressure (DBP) (0.29, 0.08), fasting glucose (0.13, 0.02), cholesterol (0.10, 0.01), high-density lipoprotein cholesterol (HDL-c) (-0.16, 0.03), and triglycerides (0.12, 0.01). Significant trends of risk factors with each increasing BMI unit (χ(2) test, P < 0.001) were observed for hypertension (HTN) (214.4), diabetes (29.5), metabolic syndrome (108.9), and low HDL-c (40.5), and weaker trends with hypercholesterolemia (20.6), and hypertriglyceridemia (9.6). There was exponential relationship of BMI with age- and sex-adjusted odds ratios for HTN, diabetes, and metabolic syndrome. CONCLUSION Metabolic cardiovascular risk factors continuously worsen with increasing BMI.