Age of onset of obesity and risk of type 2 diabetes |
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| Authors: | Stephanie K. Tanamas Evelyn Wong Kathryn Backholer Asnawi Abdullah Rory Wolfe Jan Barendregt Anna Peeters |
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| Affiliation: | 1. Baker IDI Heart and Diabetes Institute, Victoria;2. Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Victoria;3. Department of Biostatistics and Population Health, Faculty of Public Health, University Muhammadiyah Aceh, Indonesia;4. School of Population HealthUniversity of Queensland |
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| Abstract: | ![]()
Objective : To compare a simple measure ‐ age of onset of obesity ‐ to an obese‐years construct (a product of duration and magnitude of obesity) as risk factors for type 2 diabetes. Method : Participants from the Framingham Heart Study who were not obese and did not have diabetes at baseline were included (n=4,320). The Akaike Information Criterion (AIC) was computed to compare four Cox proportional hazards models with incident diabetes as the outcome and: (i) obese‐years; (ii) age of onset of obesity; (iii) body mass index (BMI); and (iv) age of onset of obesity plus magnitude of BMI combined, as exposures. Results : AIC indicated that the model with obese‐years provided a more effective explanation of incidence of type 2 diabetes compared to the remaining three models. Models including age of onset of obesity plus BMI were not appreciably different from the model with BMI alone, except in those aged ≥60. Conclusions : While obese‐years was the optimal obesity construct to explain risk of type 2 diabetes, age of onset may be a useful, practical addition to current BMI in the elderly. Implications : Where computation of obese‐years is not possible or impractical, age of onset of obesity combined with BMI may provide a useful alternative. |
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| Keywords: | obesity body mass index obese‐years age of onset type 2 diabetes |
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