Body Mass Index and Diabetes in Asia: A Cross-Sectional Pooled Analysis of 900,000 Individuals in the Asia Cohort Consortium
2011

Body Mass Index and Diabetes in Asia

Sample size: 934154 publication 10 minutes Evidence: high

Author Information

Author(s): Boffetta Paolo, McLerran Dale, Chen Yu, Inoue Manami, Sinha Rashmi, He Jiang, Gupta Prakash Chandra, Tsugane Shoichiro, Irie Fujiko, Tamakoshi Akiko, Gao Yu-Tang, Shu Xiao-Ou, Wang Renwei, Tsuji Ichiro, Kuriyama Shinichi, Matsuo Keitaro, Satoh Hiroshi, Chen Chien-Jen, Yuan Jian-Min, Yoo Keun-Young, Ahsan Habibul, Pan Wen-Harn, Gu Dongfeng, Pednekar Mangesh Suryakant, Sasazuki Shizuka, Sairenchi Toshimi, Yang Gong, Xiang Yong-Bing, Nagai Masato, Tanaka Hideo, Nishino Yoshikazu, You San-Lin, Koh Woon-Puay, Park Sue K., Shen Chen-Yang, Thornquist Mark, Kang Daehee, Rolland Betsy, Feng Ziding, Zheng Wei, Potter John D.

Primary Institution: Fred Hutchinson Cancer Research Center

Hypothesis

What is the association between body mass index (BMI) and diabetes prevalence in Asian populations?

Conclusion

The study found a strong relationship between increased body mass and prevalence of diabetes in Asian populations.

Supporting Evidence

  • The prevalence of diabetes was 4.3% in the overall population.
  • The odds ratio for diabetes increased with higher BMI categories.
  • Individuals below age 50 showed a stronger association between BMI and diabetes prevalence.
  • Diabetes prevalence was lower in India and Bangladesh compared to other countries.
  • Self-reported diabetes status was validated by additional indicators in some cohorts.
  • Adjustment for confounding factors did not significantly alter the results.
  • Repeated BMI measurements indicated a decrease in BMI over time among individuals with diabetes.

Takeaway

This study looked at a lot of people in Asia to see how being overweight affects diabetes. They found that being heavier makes it more likely to have diabetes.

Methodology

A pooled cross-sectional analysis using logistic regression models to evaluate the association between BMI and self-reported diabetes status.

Potential Biases

Potential misclassification of diabetes status due to self-reporting.

Limitations

Self-reported diabetes status may lead to misclassification, and the cross-sectional design prevents studying the incidence of diabetes.

Participant Demographics

Participants were from 18 cohorts across Bangladesh, China, India, Japan, Korea, Singapore, and Taiwan, with a mean age of 54.5 years.

Statistical Information

P-Value

p<0.001

Confidence Interval

95% CI 0.31, 0.76 for BMI <15.0 kg/m2; 95% CI 1.86, 2.67 for BMI >34.9 kg/m2

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.1371/journal.pone.0019930

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