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Incident diabetes in relation to weight patterns during middle age
Molly E Waring1, Charles B Eaton, Thomas M Lasater
1Department of Community Health, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA. molly.waring@umassmed.edu
American Journal of Epidemiology
|January 30, 2010
Summary
Middle-aged overweight and obesity significantly increase type 2 diabetes risk. Maintaining a healthy weight throughout life is crucial for preventing diabetes mellitus.
Area of Science:
- Endocrinology
- Metabolic Diseases
- Epidemiology
Background:
- Middle age weight patterns are linked to chronic disease development.
- Obesity is a known risk factor for type 2 diabetes mellitus.
- Understanding weight dynamics in midlife is crucial for diabetes prevention.
Purpose of the Study:
- To investigate the association between weight patterns in middle age and incident type 2 diabetes mellitus.
- To define weight patterns using functional principal components analysis of body mass index.
- To assess the independent contributions of weight status, weight change, and weight cycling to diabetes risk.
Main Methods:
- Utilized a subset of the Framingham Heart Study original cohort (n=1,476) with data from 1948-2003.
- Excluded participants diagnosed with diabetes before age 50.
- Applied functional principal components analysis to body mass index trajectories from age 40 to 50 to identify weight patterns.
Main Results:
- Overall overweight and obesity were significantly associated with higher rates of type 2 diabetes mellitus.
- Weight cycling showed an association with increased diabetes rates, but this was not significant after adjusting for overall weight status.
- Neither weight loss nor weight gain during middle age was independently associated with incident diabetes.
Conclusions:
- This study highlights the critical role of overweight and obesity in increasing type 2 diabetes mellitus risk.
- Preventing the development of overweight and obesity earlier in life is paramount for mitigating diabetes risk.
- Long-term weight status is a more significant predictor of diabetes than weight fluctuations alone.
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