25-Year trends in hypertension prevalence, awareness, treatment, and control in an Indian urban population: Jaipur Heart Watch.

OBJECTIVES: We evaluated trends in hypertension prevalence, awareness, treatment and control in an Indian urban population over 25 years. Trends were projected to year 2030 to determine attainment of World Health Organization (WHO) Global Monitoring Framework targets. METHODS: Adult participants (n=7440, men 4237, women 3203) enrolled in successive population based studies in Jaipur, India from years 1991 to 2015 were evaluated for hypertension prevalence, awareness, treatment and control. The studies were performed in years 1991-93 (n=2212), 1999-01 (n=1123), 2003-04 (n=458), 2006-07 (n=1127), 2009-10 (n=739) and 2012-15 (n=1781). Descriptive statistics are reported. We used logarithmic forecasting to year 2030 and compared outcomes to WHO target of 25% lower prevalence and >50% control. RESULTS: The age-adjusted hypertension prevalence (%) among adults in successive studies increased from 29.5, 30.2, 36.5, 42.1, 34.4 to 36.1 (R2=0.41). Increasing trends were observed for hypertension awareness (13, 44, 49, 44, 49, 56; R2=0.63); treatment in all (9, 22, 38, 34, 41, 36; R2=0.68) and aware hypertensives (61, 66, 77, 79, 70, 64; R2=0.46); and control in all (2, 14, 13, 18, 21, 21; R2=0.82), aware (12, 33, 27, 46, 37, 37; R2=0.54) and treated (9, 20, 21, 48, 36, 49; R2=0.80) hypertensive participants. Projections to year 2030 show increases in prevalence to 44% (95% CI 43-45), awareness to 82% (81-83), treatment to 62% (61-63), and control to 36% (35-37). CONCLUSION: Hypertension prevalence, awareness, treatment and control rates are increasing among urban populations in India. Better awareness is associated with greater control. The rates of increase are off-target for WHO Global Monitoring Framework and UN Sustainable Development Goals.

Assessment of variation in depth of brachial plexus using ultrasound for supraclavicular brachial plexus block in patients undergoing elective upper limb surgery.

BACKGROUND AND AIMS: Supraclavicular approach to the brachial plexus may be associated with complications such as pneumothorax, inadvertent vascular puncture, inter-scalene block and neurovascular injuries. The present study was conceived to find out the variation in depth of brachial plexus to suggest the minimum length of needle required to effectively perform the block, thus preventing possible complications. METHODS: After approval from our Institutional Ethical Committee, informed and written consent was obtained from each of the ninety American Society of Anesthesiologists Physical Status I and II patients recruited, of either sex in the age group of 20-50 years. Supraclavicular fossa was scanned using a high-frequency linear probe, and the distances (shortest distance [SD] from skin to the most superficial neural element and longest distance [LD] from skin to the most deep neural element) were measured using on-screen callipers on optimal frozen image. Pearson correlation was used to find out the relation between these two distances and demographic parameters. RESULTS: Mean SD was 0.60 ± 0.262 cm, and mean LD was found to be 1.34 ± 0.385 cm. We observed significant correlation between these two distances with weight and body mass index (BMI). CONCLUSION: Significant correlation was observed between SD and LD with weight and BMI. We suggest that a needle with a shaft length of 3 cm will be sufficient to reach the sheath of the brachial plexus during performance of the block.

Disparities in Prevalence of Cardiometablic Risk Factors in Rural, Urban-Poor, and Urban-Middle Class Women in India.

OBJECTIVE: Urbanization is an important determinant of cardiovascular disease (CVD) risk. To determine location-based differences in CVD risk factors in India we performed studies among women in rural, urban-poor and urban middle-class locations. METHODS: Population-based cross-sectional studies in rural, urban-poor, and urban-middle class women (35-70 y) were performed at multiple sites. We evaluated 6853 women (rural 2616, 5 sites; urban-poor 2008, 4 sites; urban middle-class 2229, 11 sites) for socioeconomic, lifestyle, anthropometric and biochemical risk factors. Descriptive statistics are reported. RESULTS: Mean levels of body mass index (BMI), waist circumference, waist-hip ratio (WHR), systolic BP, fasting glucose and cholesterol in rural, urban-poor and urban-middle class women showed significantly increasing trends (ANOVAtrend, p <0.001). Age-adjusted prevalence of diabetes and risk factors among rural, urban-poor and urban-middle class women, respectively was, diabetes (2.2, 9.3, 17.7%), overweight BMI ≥25 kg/m2 (22.5, 45.6, 57.4%), waist >80 cm (28.3, 63.4, 61.9%), waist >90 cm (8.4, 31.4, 38.2%), waist hip ratio (WHR) >0.8 (60.4, 90.7, 88.5), WHR>0.9 (13.0, 44.3, 56.1%), hypertension (31.6, 48.2, 59.0%) and hypercholesterolemia (13.5, 27.7, 37.4%) (Mantel Haenszel X2 ptrend <0.01). Inverse trend was observed for tobacco use (41.6, 19.6, 9.4%). There was significant association of hypertension, hypercholesterolemia and diabetes with overweight and obesity (adjusted R2 0.89-0.99). CONCLUSIONS: There are significant location based differences in cardiometabolic risk factors in India. The urban-middle class women have the highest risk compared to urban-poor and rural.

Diet and nutrient intakes in urban women of Rajasthan State, Northern India.

Dietary and nutrient intakes of adult women have not been studied extensively which may contribute in increasing burden of morbidity and mortality in women. Present study assessed the diet and nutrient intake of women in the age group of 35 -70 years. Door to door personal contact was done with women in identified locations and background was elicited using a questionnaire. Average intake of different foods and nutrients were recorded using semi quantitative FFQ and compared with Indian standards. Results revealed that average cereal, pulse, fruits, and vegetable intakes were below recommendations. Both energy and protein intakes were inadequate among subjects. Total fat, SAFA, and TFA intakes were higher and PUFA, MUFA, fibre, dietary iron, and folic acid intakes were lower than the recommendations. It was concluded that high fat intake and low fibre, PUFA, MUFA, iron, and folic acid intake may prone this community to diet-related chronic diseases.

Population-based intervention for cardiovascular diseases related knowledge and behaviours in Asian Indian women.

BACKGROUND & OBJECTIVES: There is poor knowledge and behaviors regarding chronic diseases related nutritional and lifestyle factors among women in low income countries. To evaluate efficacy of a multilevel population-based intervention in improving knowledge and practices for related factors we performed a study in India. METHODS: Population based study among women 35-70 years was performed in four urban and five rural locations. Stratified sampling was performed and we enrolled 4624 (rural 2616, urban 2008) of eligible 8000 women (58%). Demographic details, medical history, diet, physical activity and anthropometry were recorded and blood hemoglobin, glucose and total cholesterol determined. Knowledge and behaviors regarding diet in chronic diseases were inquired in a randomly selected 100 women at each site (n = 900). A systematic multilevel population based intervention (using posters, handouts, street plays, public lectures, group lectures and focused group discussions) was administered over 6 months at each site. The questionnaire was re-administered at the end in random 100 women (n = 900) and differences determined. Descriptive statistics are reported. Comparison of parameters before and after intervention was assessed using Mann Whitney test. RESULTS: Prevalence (%) of chronic disease related lifestyles and risk factors in rural/urban women, respectively, was illiteracy in 63.6/29.4, smoking/tobacco use 39.3/18.9, high fat intake 93.6/93.4, high salt intake 18.2/12.6, low physical activity 59.5/70.2, overweight/obesity 22.5/45.6, truncal obesity 13.0/44.3, hypertension 31.6/48.2, hypercholesterolemia 13.5/27.7, and diabetes in 4.3/15.1 percent. Composite chronic diseases knowledge at baseline vs after intervention increased significantly in overall (32.0 vs 62.0), rural (29.0 vs 63.5) and urban (39.5 vs 60.5) groups (p < 0.001). Significant increase in knowledge regarding diet in hypertension, diabetes, heart disease and anemia as well as importance of dietary proteins, fats, fibres and fruits was observed (p < 0.001). There was insignificant change in most of the practices regarding intake of low fat, high protein, high fibre diet except sieving the flour which declined significantly (80.1 vs 53.6, p < 0.001). CONCLUSIONS: A short-term multilevel population-wide intervention among women in rural and urban locations in India increased chronic disease knowledge but failed to influence practices.

Determinants of urban-rural differences in cardiovascular risk factors in middle-aged women in India: a cross-sectional study.

OBJECTIVES: Cardiovascular diseases (CVD) are the most important cause of death amongst middle-aged Indian women. To determine prevalence of CVD risk factors and their determinants we performed a nationwide study. METHODS: Population based studies amongst women 35-70 years were performed in four urban and five rural locations in India. Location based stratified sampling was performed and we enrolled 4624 (rural 2616, urban 2008) of eligible 8000 women (58%). Demographic details, medical history, diet, physical activity and anthropometry were recorded using standardised techniques. Blood haemoglobin, glucose and total cholesterol were determined. Risk factors were diagnosed using current guidelines. Descriptive statistics are reported. Stepwise multivariate logistic regression was performed to identify determinants of urban-rural differences. RESULTS: In urban women mean body mass index (BMI), waist circumference, waist-hip ratio (WHR), systolic BP, haemoglobin, fasting glucose and cholesterol were significantly greater (p<0.01). Age-adjusted prevalence of risk factors (%) in urban vs rural was of obesity BMI ≥ 25 kg/m(2) (45.6 vs 22.5), truncal obesity WHR>0.9 (44.3 vs 13.0), hypertension (37.5 vs 29.3), hypercholesterolemia ≥ 200 mg/dl (27.7 vs 13.5), and diabetes (15.1 vs 4.3) greater whilst any tobacco use (19.6 vs 41.6) or smoking lower. Significant determinants of urban-rural differences were greater income and literacy, dietary fats, low physical activity, obesity and truncal obesity (p<0.01). CONCLUSIONS: Greater prevalence of CVD risk factors in urban middle-aged women is explained by greater income and literacy, dietary fat, low physical activity and obesity.

Persistent high prevalence of cardiovascular risk factors in the urban middle class in India: Jaipur Heart Watch-5.

BACKGROUND AND OBJECTIVE: Urban subjects have high burden of cardiovascular risk factors, therefore, to evaluate risk factors in middle socioeconomic subjects and to study secular trends we performed an epidemiological study. METHODS: The study was performed at urban middle class locations defined according to municipal records in years 2009-10. Stratified random sampling using house-to-house survey was performed. Details of medical history, anthropometry and clinical examination were recorded and biochemical tests performed for estimation of fasting glucose and lipids. Current definitions were used for risk factor classification. Descriptive statistics are provided. Trends were calculated using ANOVA or Mantel Haenszel chi-square. Univariate and multivariate logistic regression was performed to assess risk factor determinants. To determine secular trends we compared risk factors with previous cross-sectional studies performed in same locations in years 2002-3 and 2004-5 in subjects 20-59 years age. RESULTS: We evaluated 739 subjects (men 451, women 288, response 67%). Age-adjusted prevalence (%) of risk factors in men and women respectively was smoking 95 (21.1) and 12 (4.2), low physical activity 316 (69.6) and 147 (52.3), high fat intake > or = 20 gm/day 278 (73.4) and 171 (68.7), low fruits and vegetables intake < 3 helpings/day 249 (70.3) and 165 (76.4), overweight/obesity 205 (46.2) and 142 (50.7), high waist size 58 (12.9) and 76 (26.6), high waist:hip 143 (31.9) and 154 (53.9), hypertension 177 (39.5) and 71 (24.6), high total cholesterol > or = 200 mg/ dl 148 (33.0) and 93 (32.7), low HDL cholesterol < 40/50 mg/dl 113 (25.1) and 157 (55.3), diabetes 62 (15.5) and 25 (10.8) and metabolic syndrome 109 (25.1) and 61 (22.0). Age-associated increase was observed in body mass index, waist size, waist ratio:hip, systolic blood pressure and fasting and total cholesterol, non-HDL cholesterol and triglycerides in women (Ptrend < 0.01). Age related increase was also observed in prevalence of obesity, truncal obesity, hypertension, diabetes and metabolic syndrome (Ptrend < 0.01). On univariate analysis significant determinants of risk factors were low educational and socioeconomic status for smoking, high fat diet for obesity and hypertension, low fruits and vegetables intake for metabolic syndrome, and low physical activity or obesity but on age-and sex-adjusted multivariate analysis only association was high fat diet with obesity and hypertension (logistic regression analysis p < 0.05). Compared to studies performed at similar locations in years 2002-03 and 2005-06 there was increasing trend in prevalence of high non-HDL cholesterol and hypertriglyceridemia (Ptrend < 0.05) while other risk factors did not change significantly. CONCLUSIONS: There is a high prevalence of multiple cardiovascular risk factors in Indian middle class individuals. Secular trends demonstrate a persistent high prevalence and increasing non-HDL cholesterol and triglycerides over 8-year period.

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.

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.

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.

Atherothrombotic risk factors & premature coronary heart disease in India: a case-control study.

BACKGROUND & OBJECTIVES: It was hypothesized that both thrombogenic and atherogenic factors may be responsible for premature coronary heart disease (CHD) in young Indians. A case-control study was performed to determine cardiovascular risk factors in young patients with CHD in India. METHODS: Successive consenting patients <55 yr with an acute coronary event or recent diagnosis of CHD were enrolled (cases, n=165). Age- and gender-matched subjects with no clinical evidence of CHD were recruited as controls (n=199). Demographic, anthropometric, clinical, haematological, and biochemical data were obtained in both groups. Univariate and multivariate logistic regression were performed to identify important risk factors. RESULTS: In cases vs. controls mean systolic BP, diastolic BP, platelet counts, LDL cholesterol, non-HDL cholesterol, triglycerides, and fibrinogen were higher and HDL cholesterol lower (P<0.001). The presence of current smoking, low fruit and vegetables intake, high fat intake, hypertension, diabetes, low HDL cholesterol, and high LDL cholesterol, total:HDL ratio, fibrinogen and homocysteine was significantly higher in cases (P<0.05). Multivariate logistic regression analysis (age adjusted odds ratio, 95% confidence intervals) revealed that smoking (19.41, 6.82-55.25), high fat intake (1.66, 1.08-2.56), low fruit and vegetables intake (1.99, 1.11-3.59), hypertension (8.95, 5.42-14.79), high LDL cholesterol [2.49 (1.62-3.84)], low HDL cholesterol (10.32, 6.30-16.91), high triglycerides (3.62, 2.35-5.59) high total:HDL cholesterol (3.87, 2.35-5.59), high fibrinogen (2.87, 1.81-4.55) and high homocysteine (10.54, 3.11-35.78) were significant. INTERPRETATION & CONCLUSIONS: Our results showed that thrombotic (smoking, low fruit/vegetables intake, fibrinogen, homocysteine) as well as atherosclerotic (hypertension, high fat diet, dyslipidaemia) risk factors were important in premature CHD. Multipronged prevention strategies are needed in young Indian subjects.

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.

Low use of statins and other coronary secondary prevention therapies in primary and secondary care in India.

OBJECTIVE: To determine the frequency of use of pharmacotherapy with aspirin, beta blocker, statin, and angiotensin-converting enzyme (ACE) inhibitor in patients with stable coronary heart disease (CHD) among physicians at different levels of health care in Rajasthan state, India. METHODS: Physicians practicing at tertiary hospitals and clinics at tertiary, secondary and primary levels were contacted. Prescriptions of CHD patients were audited and descriptive statistics reported. RESULTS: We evaluated 2,993 prescriptions (tertiary hospital discharge 711, tertiary 688, secondary 1,306, and primary 288). Use of aspirin was in 2,713 (91%) of prescriptions, beta blockers 2,057 (69%), ACE inhibitors or angiotensin receptor blockers (ARBs) 2,471 (82%), and statins 2,059 (69%). Any one of these drugs was prescribed in 2,991 (100%), any two in 2,880 (96%), any three in 1,740 (58%), and all four in 1,062 (35.5%) (P < 0.001). As compared to tertiary hospital, prescriptions at tertiary, secondary, and primary levels were lower: aspirin (96% vs 95%, 91%, 67%), beta blockers (80% vs 62%, 66%, 70%), statins (87% vs 82%, 62%, 21%): two drugs (98% vs 96%, 98%, 85%), three drugs (75% vs 58%, 55%, 28%), or four drugs (54% vs 44%, 28%, 7%) (P < 0.01). Use of ACE inhibitors/ARBs was similar while nitrates (43% vs 23%, 43%, 70%), dihydropyridine calcium channel blockers (12% vs 15%, 30%, 47%), and multivitamins (6% vs 26%, 37%, 47%) use was more in secondary and primary care. CONCLUSIONS: There is suboptimal use of various evidence-based drugs (aspirin, beta blockers, ACE inhibitors, and statins) for secondary prevention of CHD in India.

Younger age of escalation of cardiovascular risk factors in Asian Indian subjects.

BACKGROUND: Cardiovascular risk factors start early, track through the young age and manifest in middle age in most societies. We conducted epidemiological studies to determine prevalence and age-specific trends in cardiovascular risk factors among adolescent and young urban Asian Indians. METHODS: Population based epidemiological studies to identify cardiovascular risk factors were performed in North India in 1999-2002. We evaluated major risk factors-smoking or tobacco use, obesity, truncal obesity, hypertension, dysglycemia and dyslipidemia using pre-specified definitions in 2051 subjects (male 1009, female 1042) aged 15-39 years of age. Age-stratified analyses were performed and significance of trends determined using regression analyses for numerical variables and Chi2 test for trend for categorical variables. Logistic regression was used to identify univariate and multivariate odds ratios (OR) for correlation of age and risk factors. RESULTS: In males and females respectively, smoking or tobacco use was observed in 200 (11.8%) and 18 (1.4%), overweight or obesity (body mass index, BMI > or = 25 kg/m2) in 12.4% and 14.3%, high waist-hip ratio, WHR (males > 0.9, females > 0.8) in 15% and 32.3%, hypertension in 5.6% and 3.1%, high LDL cholesterol (> or = 130 mg/dl) in 9.4% and 8.9%, low HDL cholesterol (<40 mg/dl males, <50 mg/dl females) in 16.2% and 49.7%, hypertriglyceridemia (> or = 150 mg/dl) in 9.7% and 6%, diabetes in 1.0% and 0.4% and the metabolic syndrome in 3.4% and 3.6%. Significantly increasing trends with age for indices of obesity (BMI, waist, WHR), glycemia (fasting glucose, metabolic syndrome) and lipids (cholesterol, LDL cholesterol, HDL cholesterol) were observed (p for trend < 0.01). At age 15-19 years the prevalence (%) of risk factors in males and females, respectively, was overweight/obesity in 7.6, 8.8; high WHR 4.9, 14.4; hypertension 2.3, 0.3; high LDL cholesterol 2.4, 3.2; high triglycerides 3.0, 3.2; low HDL cholesterol 8.0, 45.3; high total:HDL ratio 3.7, 4.7, diabetes 0.0 and metabolic syndrome in 0.0, 0.2 percent. At age groups 20-29 years in males and females, ORs were, for smoking 5.3, 1.0; obesity 1.6, 0.8; truncal obesity 4.5, 3.1; hypertension 2.6, 4.8; high LDL cholesterol 6.4, 1.8; high triglycerides 3.7, 0.9; low HDL cholesterol 2.4, 0.8; high total:HDL cholesterol 1.6, 1.0; diabetes 4.0, 1.0; and metabolic syndrome 37.7, 5.7 (p < 0.05 for some). At age 30-39, ORs were- smoking 16.0, 6.3; overweight 7.1, 11.3; truncal obesity 21.1, 17.2; hypertension 13.0, 64.0; high LDL cholesterol 27.4, 19.5; high triglycerides 24.2, 10.0; low HDL cholesterol 15.8, 14.1; high total:HDL cholesterol 37.9, 6.10; diabetes 50.7, 17.4; and metabolic syndrome 168.5, 146.2 (p < 0.01 for all parameters). Multivariate adjustment for BMI, waist size and WHR in men and women aged 30-39 years resulted in attenuation of ORs for hypertension and dyslipidemias. CONCLUSION: Low prevalence of multiple cardiovascular risk factors (smoking, hypertension, dyslipidemias, diabetes and metabolic syndrome) in adolescents and rapid escalation of these risk factors by age of 30-39 years is noted in urban Asian Indians. Interventions should focus on these individuals.

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

BACKGROUND: Coronary 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. METHODS: Successive epidemiological Jaipur Heart Watch (JHW) studies were performed in Western India in urban locations. The studies evaluated adults > or = 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 > or = 200 mg/dl, LDL cholesterol > or = 130 mg/dl, non-HDL cholesterol > or = 160 mg/dl, triglycerides > or = 150 mg/dl, low HDL cholesterol <40 mg/dl, high cholesterol remnants > or = 25 mg/dl, and high total:HDL cholesterol ratio > or = 5.0, and > or = 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. RESULTS: Mean 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 > or = 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 > or = 5.0 (22.2, 47.6, 53.2, 26.3, R = 0.031) and > or = 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). CONCLUSION: In 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.