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The New England Journal of Medicine | 2011

Association between Body-Mass Index and Risk of Death in More Than 1 Million Asians

Wei Zheng; Dale McLerran; Betsy Rolland; Xianglan Zhang; Manami Inoue; Keitaro Matsuo; Jiang He; Prakash C. Gupta; Kunnambath Ramadas; Shoichiro Tsugane; Fujiko Irie; Akiko Tamakoshi; Yu-Tang Gao; Renwei Wang; Xiao-Ou Shu; Ichiro Tsuji; Shinichi Kuriyama; Hideo Tanaka; Hiroshi Satoh; Chien-Jen Chen; Jian-Min Yuan; Keun-Young Yoo; Habibul Ahsan; Wen-Harn Pan; Dongfeng Gu; Mangesh S. Pednekar; Catherine Sauvaget; Shizuka Sasazuki; Toshimi Sairenchi; Gong Yang

BACKGROUND Most studies that have evaluated the association between the body-mass index (BMI) and the risks of death from any cause and from specific causes have been conducted in populations of European origin. METHODS We performed pooled analyses to evaluate the association between BMI and the risk of death among more than 1.1 million persons recruited in 19 cohorts in Asia. The analyses included approximately 120,700 deaths that occurred during a mean follow-up period of 9.2 years. Cox regression models were used to adjust for confounding factors. RESULTS In the cohorts of East Asians, including Chinese, Japanese, and Koreans, the lowest risk of death was seen among persons with a BMI (the weight in kilograms divided by the square of the height in meters) in the range of 22.6 to 27.5. The risk was elevated among persons with BMI levels either higher or lower than that range--by a factor of up to 1.5 among those with a BMI of more than 35.0 and by a factor of 2.8 among those with a BMI of 15.0 or less. A similar U-shaped association was seen between BMI and the risks of death from cancer, from cardiovascular diseases, and from other causes. In the cohorts comprising Indians and Bangladeshis, the risks of death from any cause and from causes other than cancer or cardiovascular disease were increased among persons with a BMI of 20.0 or less, as compared with those with a BMI of 22.6 to 25.0, whereas there was no excess risk of either death from any cause or cause-specific death associated with a high BMI. CONCLUSIONS Underweight was associated with a substantially increased risk of death in all Asian populations. The excess risk of death associated with a high BMI, however, was seen among East Asians but not among Indians and Bangladeshis.


BMJ | 2013

Association between body mass index and cardiovascular disease mortality in east Asians and south Asians: pooled analysis of prospective data from the Asia Cohort Consortium

Yu Chen; Wade Copeland; Rajesh Vedanthan; Eric J. Grant; Jung Eun Lee; Dongfeng Gu; Prakash C. Gupta; Kunnambath Ramadas; Manami Inoue; Shoichiro Tsugane; Akiko Tamakoshi; Yu-Tang Gao; Jian-Min Yuan; Xiao-Ou Shu; Kotaro Ozasa; Ichiro Tsuji; Masako Kakizaki; Hideo Tanaka; Yoshikazu Nishino; Chien-Jen Chen; Renwei Wang; Keun-Young Yoo; Yoon Ok Ahn; Habibul Ahsan; Wen-Harn Pan; Chung Shiuan Chen; Mangesh S. Pednekar; Catherine Sauvaget; Shizuka Sasazuki; Gong Yang

Objective To evaluate the association between body mass index and mortality from overall cardiovascular disease and specific subtypes of cardiovascular disease in east and south Asians. Design Pooled analyses of 20 prospective cohorts in Asia, including data from 835 082 east Asians and 289 815 south Asians. Cohorts were identified through a systematic search of the literature in early 2008, followed by a survey that was sent to each cohort to assess data availability. Setting General populations in east Asia (China, Taiwan, Singapore, Japan, and Korea) and south Asia (India and Bangladesh). Participants 1 124 897 men and women (mean age 53.4 years at baseline). Main outcome measures Risk of death from overall cardiovascular disease, coronary heart disease, stroke, and (in east Asians only) stroke subtypes. Results 49 184 cardiovascular deaths (40 791 in east Asians and 8393 in south Asians) were identified during a mean follow-up of 9.7 years. East Asians with a body mass index of 25 or above had a raised risk of death from overall cardiovascular disease, compared with the reference range of body mass index (values 22.5-24.9; hazard ratio 1.09 (95% confidence interval 1.03 to 1.15), 1.27 (1.20 to 1.35), 1.59 (1.43 to 1.76), 1.74 (1.47 to 2.06), and 1.97 (1.44 to 2.71) for body mass index ranges 25.0-27.4, 27.5-29.9, 30.0-32.4, 32.5-34.9, and 35.0-50.0, respectively). This association was similar for risk of death from coronary heart disease and ischaemic stroke; for haemorrhagic stroke, the risk of death was higher at body mass index values of 27.5 and above. Elevated risk of death from cardiovascular disease was also observed at lower categories of body mass index (hazard ratio 1.19 (95% confidence interval 1.02 to 1.39) and 2.16 (1.37 to 3.40) for body mass index ranges 15.0-17.4 and <15.0, respectively), compared with the reference range. In south Asians, the association between body mass index and mortality from cardiovascular disease was less pronounced than that in east Asians. South Asians had an increased risk of death observed for coronary heart disease only in individuals with a body mass index greater than 35 (hazard ratio 1.90, 95% confidence interval 1.15 to 3.12). Conclusions Body mass index shows a U shaped association with death from overall cardiovascular disease among east Asians: increased risk of death from cardiovascular disease is observed at lower and higher ranges of body mass index. A high body mass index is a risk factor for mortality from overall cardiovascular disease and for specific diseases, including coronary heart disease, ischaemic stroke, and haemorrhagic stroke in east Asians. Higher body mass index is a weak risk factor for mortality from cardiovascular disease in south Asians.


PLOS ONE | 2011

Body Mass Index and Diabetes in Asia: A Cross-Sectional Pooled Analysis of 900,000 Individuals in the Asia Cohort Consortium

Paolo Boffetta; Dale McLerran; Yu Chen; Manami Inoue; Rashmi Sinha; Jiang He; Prakash C. Gupta; Shoichiro Tsugane; Fujiko Irie; Akiko Tamakoshi; Yu-Tang Gao; Xiao-Ou Shu; Renwei Wang; Ichiro Tsuji; Shinichi Kuriyama; Keitaro Matsuo; Hiroshi Satoh; Chien-Jen Chen; Jian-Min Yuan; Keun-Young Yoo; Habibul Ahsan; Wen-Harn Pan; Dongfeng Gu; Mangesh S. Pednekar; Shizuka Sasazuki; Toshimi Sairenchi; Gong Yang; Yong Bing Xiang; Masato Nagai; Hideo Tanaka

Background The occurrence of diabetes has greatly increased in low- and middle-income countries, particularly in Asia, as has the prevalence of overweight and obesity; in European-derived populations, overweight and obesity are established causes of diabetes. The shape of the association of overweight and obesity with diabetes risk and its overall impact have not been adequately studied in Asia. Methods and Findings A pooled cross-sectional analysis was conducted to evaluate the association between baseline body mass index (BMI, measured as weight in kg divided by the square of height in m) and self-reported diabetes status in over 900,000 individuals recruited in 18 cohorts from Bangladesh, China, India, Japan, Korea, Singapore and Taiwan. Logistic regression models were fitted to calculate cohort-specific odds ratios (OR) of diabetes for categories of increasing BMI, after adjustment for potential confounding factors. OR were pooled across cohorts using a random-effects meta-analysis. The sex- and age-adjusted prevalence of diabetes was 4.3% in the overall population, ranging from 0.5% to 8.2% across participating cohorts. Using the category 22.5–24.9 Kg/m2 as reference, the OR for diabetes spanned from 0.58 (95% confidence interval [CI] 0.31, 0.76) for BMI lower than 15.0 kg/m2 to 2.23 (95% CI 1.86, 2.67) for BMI higher than 34.9 kg/m2. The positive association between BMI and diabetes prevalence was present in all cohorts and in all subgroups of the study population, although the association was stronger in individuals below age 50 at baseline (p-value of interaction<0.001), in cohorts from India and Bangladesh (p<0.001), in individuals with low education (p-value 0.02), and in smokers (p-value 0.03); no differences were observed by gender, urban residence, or alcohol drinking. Conclusions This study estimated the shape and the strength of the association between BMI and prevalence of diabetes in Asian populations and identified patterns of the association by age, country, and other risk factors for diabetes.


American Journal of Public Health | 2005

Social Disparities in Tobacco Use in Mumbai, India: The Roles of Occupation, Education, and Gender

Glorian Sorensen; Prakash C. Gupta; Mangesh S. Pednekar

OBJECTIVES We assessed social disparities in the prevalence of overall tobacco use, smoking, and smokeless tobacco use in Mumbai, India, by examining occupation-, education-, and gender-specific patterns. METHODS Data were derived from a cross-sectional survey conducted between 1992 and 1994 as the baseline for the Mumbai Cohort Study (n=81837). RESULTS Odds ratios (ORs) for overall tobacco use according to education level (after adjustment for age and occupation) showed a strong gradient; risks were higher among illiterate participants (male OR = 7.38, female OR = 20.95) than among college educated participants. After age and education had been controlled, odds of tobacco use were also significant according to occupation; unskilled male workers (OR = 1.66), male service workers (OR = 1.32), and unemployed individuals (male OR = 1.84, female OR = 1.95) were more at risk than professionals. The steepest education- and occupation-specific gradients were observed among male bidi smokers and female smokeless tobacco users. CONCLUSIONS The results of this study indicate that education and occupation have important simultaneous and independent relationships with tobacco use that require attention from policymakers and researchers alike.


BMC Public Health | 2006

Association between tobacco use and body mass index in urban Indian population: implications for public health in India

Mangesh S. Pednekar; Prakash C. Gupta; Heema C Shukla; James R. Hébert

BackgroundBody mass index [BMI, weight (kg)/height (m2)], a measure of relative weight, is a good overall indicator of nutritional status and predictor of overall health. As in many developing countries, the high prevalence of very low BMIs in India represents an important public health risk. Tobacco, smoked in the form of cigarettes or bidis (handmade by rolling a dried rectangular piece of temburni leaf with 0.15–0.25 g of tobacco) or chewed, is another important determinant of health. Tobacco use also may exert a strong influence on BMI.MethodsThe relationship between very low BMI (< 18.5 kg/m2) and tobacco use was examined using data from a representative cross-sectional survey of 99,598 adults (40,071 men and 59,527 women) carried out in the city of Mumbai (formerly known as Bombay) in western India. Participants were men and women aged ≥ 35 years who were residents of the main city of Mumbai.ResultsAll forms of tobacco use were associated with low BMI. The prevalence of low BMI was highest in bidi-smokers (32% compared to 13% in non-users). For smokers, the adjusted odds ratio (OR) and 95% confidence interval (CI) were OR = 1.80(1.65 to 1.96) for men and OR = 1.59(1.09 to 2.32) for women, respectively, relative to non-users. For smokeless tobacco and mixed habits (smoking and smokeless tobacco), OR = 1.28(1.19 to 1.38) and OR = 1.83(1.67 to 2.00) for men and OR = 1.50(1.43 to 1.59) and OR = 2.19(1.90 to 3.41) for women, respectively.ConclusionTobacco use appears to be an independent risk factor for low BMI in this population. We conclude that in such populations tobacco control research and interventions will need to be conducted in concert with nutrition research and interventions in order to improve the overall health status of the population.


Journal of Human Hypertension | 2004

Hypertension prevalence and blood pressure trends in 88 653 subjects in Mumbai, India

Prakash C. Gupta; Rakesh Gupta; Mangesh S. Pednekar

High blood pressure (BP) is an important public health problem in India. Recent studies have shown a high prevalence of hypertension among adults in both urban and rural areas. According to the older World Health Organisation (WHO) criteria (BP X160/ X95 mmHg), studies in Indian urban populations in 1950s showed hypertension prevalence as 1–3%. Subsequent studies showed a steadily increasing trend in hypertension prevalence and reports in the late 1980s and early 1990s showed that the prevalence was more than 10%. The prevalence of hypertension defined by the Fifth United States Joint National Committee (JNC-V) criteria (X140/90) also shows a steep increase in urban subjects. The prevalence also increased in rural populations although the increase is not as steep as in the urban subjects. Studies in rural Bombay and Delhi in the late 1950s reported hypertension (BPX160/95 mmHg) prevalence of 0.5–1.0%, while studies in the 1990s reported hypertension in 3.5–7.0% adults. Cause of this increase in hypertension is postulated as westernisation of traditional Indian communities. Studies among the less acculturated (nonwesternised) Indian tribal and rural populations show only a small increase in hypertension prevalence, while among the urban populations who are exposed to the stress of acculturation and have adopted unhealthy lifestyles, the hypertension prevalence rates have increased by more than five times in the last 50 years. Scanty recent data exist regarding the prevalence of hypertension in large Indian metropolitan cities where the stress of acculturation is maximum. To determine the prevalence of hypertension in a large Indian metropolitan city, we performed a population-based epidemiological study in the city of Mumbai. Details of methodology have been reported. Voters’ lists were used to enrol the subjects and the survey was confined to the main citypopulation density of 48 830 inhabitants/km, from population of 3.42 million in an area of about 70 km. All individuals aged 35 years and over were approached by investigators for interview and BP measurements. About 50% of individuals estimated to be eligible in the voters’ list were available for the interview. BP was measured in sitting position using WHO guidelines and the average of two nearidentical values were noted. Hypertension has been classified according to the USA Sixth Joint National Committee (JNC-VI) guidelines. Stage I is 140–159 systolic and/or 90–99 mmHg diastolic; stage II is 160–179/100–109; stage III is 180–199/110–119; and stage IV is X200/X120. Subjects known to have high BP or taking antihypertensive treatment have been considered stage II hypertension. Body mass index (BMI, weight in kg divided by squared height in metres) has been calculated for all the individuals and classified into four groups (o20 kg/m, 20– 24.99, 25–29.99 and X30 kg/m. Educational level has been classified into illiterates and those with education of 1–5, 6–8, 8–10 and X10 years corresponding to primary, middle, secondary and college education, respectively.


BMC Public Health | 2011

Illiteracy, low educational status, and cardiovascular mortality in India

Mangesh S. Pednekar; Rajeev Gupta; Prakash C. Gupta

BackgroundInfluence of education, a marker of SES, on cardiovascular disease (CVD) mortality has not been evaluated in low-income countries. To determine influence of education on CVD mortality a cohort study was performed in India.Methods148,173 individuals aged ≥ 35 years were recruited in Mumbai during 1991-1997 and followed to ascertain vital status during 1997-2003. Subjects were divided according to educational status into one of the five groups: illiterate, primary school (≦ 5 years of formal education), middle school (6-8 years), secondary school (9-10 years) and college (> 10 years). Multivariate analyses using Cox proportional hazard model was performed and hazard ratios (HRs) and 95% confidence intervals (CIs) determined.ResultsAt average follow-up of 5.5 years (774,129 person-years) 13,261 deaths were observed. CVD was the major cause of death in all the five educational groups. Age adjusted all-cause mortality per 100,000 in illiterate to college going men respectively was 2154, 2149, 1793, 1543 and 1187 and CVD mortality was 471, 654, 618, 518 and 450; and in women all-cause mortality was 1444, 949, 896, 981 and 962 and CVD mortality was 429, 301, 267, 426 and 317 (ptrend < 0.01). Compared with illiterate, age-adjusted HRs for CVD mortality in primary school to college going men were 1.36, 1.27, 1.01 and 0.88 (ptrend < 0.05) and in women 0.69, 0.55, 1.04 and 0.74, respectively (ptrend > 0.05).ConclusionsInverse association of literacy status with all-cause mortality was observed in Indian men and women, while, for CVD mortality it was observed only in men.


American Journal of Hypertension | 2009

Association of Blood Pressure and Cardiovascular Mortality in India: Mumbai Cohort Study

Mangesh S. Pednekar; Rajeev Gupta; Prakash C. Gupta

BACKGROUND To determine all-cause and circulatory system (cardiovascular)-related mortality in subjects with different grades of hypertension, we performed a prospective study. METHODS A total of 148,173 individuals aged > or =35 years were recruited in Mumbai, India in years 1991-1997. Clinical history and anthropometric data were obtained and hypertension-categorized using US 7th Joint National Committee guidelines into normal, prehypertension, stage-I, and stage-II. These subjects were followed to ascertain vital status from 1997 to 2003. Multivariate analysis was performed using Cox proportional analyses and adjusted hazard ratios (HRs), 95% confidence intervals (CIs) determined for mortality in various hypertension grades. RESULTS At baseline, hypertension was in 47.3% men and 45.7% women, while prehypertension in 40.8% men and 35.9% women. In total, 13,261 persons died during average 5.5 years follow-up of whom 9,259 deaths were matched and coded using International Classification of Diseases-10. Compared to those with normal blood pressure (BP), all cause mortality (HR, 95% CI) was significantly greater in stage-II (men 1.41, 1.31-1.52; women 1.46, 1.30-1.64). Circulatory system deaths were significantly more in stage-II (men 2.05, 1.77-2.39; women 2.06, 1.62-2.61) as well as stage-I (men 1.31, 1.14-1.52; women 1.39, 1.10-1.77). Subjects with stage-II hypertension had greater risk of death from hypertensive heart disease (men 2.77, 1.75-4.40; women 3.04, 1.73-5.35), ischemic heart disease (men 1.87, 1.54-2.28; women 1.85, 1.29-2.65), and cerebrovascular diseases (men 3.50, 2.42-5.05; women 3.09, 1.77-5.39). CONCLUSIONS In urban Indian subjects, compared to normal BP stage-II hypertension is associated with increased risk of all-cause mortality, while both stage-II and stage-I hypertension with circulatory system-related mortality.


International Journal of Environmental Research and Public Health | 2012

Knowledge of Health Effects and Intentions to Quit Among Smokers in India: Findings From the Tobacco Control Policy (TCP) India Pilot Survey

Genevieve Sansone; Lalit J Raute; Geoffrey T. Fong; Mangesh S. Pednekar; Anne C. K. Quah; Maansi Bansal-Travers; Prakash C. Gupta; Dhirendra N Sinha

Awareness of the health risks of smoking is an important factor in predicting smoking-related behaviour; however, little is known about the knowledge of health risks in low-income countries such as India. The present study examined beliefs about the harms of smoking and the impact of health knowledge on intentions to quit among a sample of 249 current smokers in both urban and rural areas in two states (Maharashtra and Bihar) from the 2006 TCP India Pilot Survey, conducted by the ITC Project. The overall awareness among smokers in India of the specific health risks of smoking was very low compared to other ITC countries, and only 10% of respondents reported that they had plans to quit in the next six months. In addition, smokers with higher knowledge were significantly more likely to have plans to quit smoking. For example, 26.2% of respondents who believed that smoking cause CHD and only 5.5% who did not believe that smoking causes CHD had intentions to quit (χ2 = 16.348, p < 0.001). Important differences were also found according to socioeconomic factors and state: higher levels of knowledge were found in Maharashtra than in Bihar, in urban compared to rural areas, among males, and among smokers with higher education. These findings highlight the need to increase awareness about the health risks of smoking in India, particularly in rural areas, where levels of education and health knowledge are lower.


American Journal of Epidemiology | 2015

Associations of Body Mass Index, Smoking, and Alcohol Consumption With Prostate Cancer Mortality in the Asia Cohort Consortium

Jay H. Fowke; Dale McLerran; Prakash C. Gupta; Jiang He; Xiao-Ou Shu; Kunnambath Ramadas; Shoichiro Tsugane; Manami Inoue; Akiko Tamakoshi; Woon-Puay Koh; Yoshikazu Nishino; Ichiro Tsuji; Kotaro Ozasa; Jian-Min Yuan; Hideo Tanaka; Yoon Ok Ahn; Chien-Jen Chen; Yumi Sugawara; Keun-Young Yoo; Habibul Ahsan; Wen-Harn Pan; Mangesh S. Pednekar; Dongfeng Gu; Yong Bing Xiang; Catherine Sauvaget; Norie Sawada; Renwei Wang; Masako Kakizaki; Yasutake Tomata; Waka Ohishi

Many potentially modifiable risk factors for prostate cancer are also associated with prostate cancer screening, which may induce a bias in epidemiologic studies. We investigated the associations of body mass index (weight (kg)/height (m)(2)), smoking, and alcohol consumption with risk of fatal prostate cancer in Asian countries where prostate cancer screening is not widely utilized. Analysis included 18 prospective cohort studies conducted during 1963-2006 across 6 countries in southern and eastern Asia that are part of the Asia Cohort Consortium. Body mass index, smoking, and alcohol intake were determined by questionnaire at baseline, and cause of death was ascertained through death certificates. Analysis included 522,736 men aged 54 years, on average, at baseline. During 4.8 million person-years of follow-up, there were 634 prostate cancer deaths (367 prostate cancer deaths across the 11 cohorts with alcohol data). In Cox proportional hazards analyses of all cohorts in the Asia Cohort Consortium, prostate cancer mortality was not significantly associated with obesity (body mass index >25: hazard ratio (HR) = 1.08, 95% confidence interval (CI): 0.85, 1.36), ever smoking (HR = 1.00, 95% CI: 0.84, 1.21), or heavy alcohol intake (HR = 1.00, 95% CI: 0.74, 1.35). Differences in prostate cancer screening and detection probably contribute to differences in the association of obesity, smoking, or alcohol intake with prostate cancer risk and mortality between Asian and Western populations and thus require further investigation.

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Mira Aghi

Tata Institute of Fundamental Research

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James R. Hébert

University of South Carolina

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