TY - JOUR
T1 - Body mass index and diabetes in Asia
T2 - A cross-sectional pooled analysis of 900,000 individuals in the Asia cohort consortium
AU - Boffetta, Paolo
AU - McLerran, Dale
AU - Chen, Yu
AU - Inoue, Manami
AU - Sinha, Rashmi
AU - He, Jiang
AU - Gupta, Prakash Chandra
AU - Tsugane, Shoichiro
AU - Irie, Fujiko
AU - Tamakoshi, Akiko
AU - Gao, Yu Tang
AU - Shu, Xiao Ou
AU - Wang, Renwei
AU - Tsuji, Ichiro
AU - Kuriyama, Shinichi
AU - Matsuo, Keitaro
AU - Satoh, Hiroshi
AU - Chen, Chien Jen
AU - Yuan, Jian Min
AU - Yoo, Keun Young
AU - Ahsan, Habibul
AU - Pan, Wen Harn
AU - Gu, Dongfeng
AU - Pednekar, Mangesh Suryakant
AU - Sasazuki, Shizuka
AU - Sairenchi, Toshimi
AU - Yang, Gong
AU - Xiang, Yong Bing
AU - Nagai, Masato
AU - Tanaka, Hideo
AU - Nishino, Yoshikazu
AU - You, San Lin
AU - Koh, Woon Puay
AU - Park, Sue K.
AU - Shen, Chen Yang
AU - Thornquist, Mark
AU - Kang, Daehee
AU - Rolland, Betsy
AU - Feng, Ziding
AU - Zheng, Wei
AU - Potter, John D.
PY - 2011
Y1 - 2011
N2 - 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/m 2 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/m 2 to 2.23 (95% CI 1.86, 2.67) for BMI higher than 34.9 kg/m 2. 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.
AB - 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/m 2 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/m 2 to 2.23 (95% CI 1.86, 2.67) for BMI higher than 34.9 kg/m 2. 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.
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U2 - 10.1371/journal.pone.0019930
DO - 10.1371/journal.pone.0019930
M3 - Article
C2 - 21731609
AN - SCOPUS:79959449171
SN - 1932-6203
VL - 6
JO - PloS one
JF - PloS one
IS - 6
M1 - e19930
ER -