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Comparing Traditional Body Mass Index and Joslin Diabetes Center¡¯s Asian Body Mass Index in Predicting Self-Report Type 2 Diabetes

Author

Listed:
  • Thanh V Tran
  • Tam H. Nguyen
  • Kaipeng Wang
  • Phu Phan

Abstract

This study examined the predictability of traditional Body Mass Index standards and the Joslin Diabetes Center¡¯s recommended BMI standards for Asian Americans. A sample of 2973 adult Asian Americans aged 45 and older from the 2009 California Health Interview Survey (CHIS) was used. This sample consists of 12.25% of respondents with type 2 diabetes and 87.75% that had neither type 2 or any types of diabetes. Logistic regression was used to estimate the predictability of two the BMI standards and to test for the interaction effect of BMI standards and sex in predicting type 2 diabetes. The results revealed that both traditional and Joslin Diabetes Center¡¯s recommended standards had similar predictability of types 2 diabetes. Both BMI standards of overweight and obesity had a greater association with type 2 diabetes for men than for women. That is, given a similar level of BMI, men tend to report a greater prevalence of type 2 diabetes than women. These findings support caution in changing BMI cut-offs for Asian Americans, and highlight the potential limitations of using BMI as a measure of risk for diabetes in this population.

Suggested Citation

  • Thanh V Tran & Tam H. Nguyen & Kaipeng Wang & Phu Phan, 2014. "Comparing Traditional Body Mass Index and Joslin Diabetes Center¡¯s Asian Body Mass Index in Predicting Self-Report Type 2 Diabetes," International Journal of Social Science Studies, Redfame publishing, vol. 2(4), pages 55-60, October.
    • Handle: RePEc:rfa:journl:v:2:y:2014:i:4:p:55-60
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    More about this item

    Keywords

    Asian Americans; Body Mass Index; obesity; overweight; type 2 diabetes.;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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