Age of onset of obesity and risk of type 2 diabetes

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...

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Main Authors: Stephanie K. Tanamas (Author), Evelyn Wong (Author), Kathryn Backholer (Author), Asnawi Abdullah (Author), Rory Wolfe (Author), Jan Barendregt (Author), Anna Peeters (Author)
Format: Book
Published: Elsevier, 2016-12-01T00:00:00Z.
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Summary: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.
Item Description:1753-6405
1326-0200
10.1111/1753-6405.12593