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• W2784331350 abstract "Background . Obesity history may provide a better understanding of the contribution of obesity to T2DM risk. Methods . 17,634 participants from the 1958 National Child Development Study were followed from birth to 50 years. Cumulative obesity dose, a measure of obesity history, was calculated by subtracting the upper cut-off of the normal BMI from the actual BMI at each follow-up and summing the areas under the obesity dose curve. Hazard ratios (HRs) for diabetes were calculated using Cox regression analysis. Three separate models compared the predictive ability of cumulative obesity dose on diabetes risk with the time-varying BMI and last BMI. Results . In final models, 341 of 15,043 (2.27%) participants developed diabetes; male sex and low birth weight were significant confounding variables. Adjusted HRs were 1.080 (95% CI: 1.071, 1.088) per 10-unit cumulative obesity dose, 1.098 (95% CI: 1.080, 1.117) per unit of the time-varying BMI, and 1.146 (95% CI: 1.084, 1.212) per unit of the last BMI. Cumulative obesity dose provided the best predictive ability for diabetes. Conclusions . Cumulative obesity dose is an improved method for evaluating the impact of obesity history on diabetes risk. The link between low birth weight and T2DM is strengthened by adjusting for cumulative obesity dose." @default.
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• W2784331350 date "2018-01-01" @default.
• W2784331350 modified "2023-10-17" @default.
• W2784331350 title "Low Birth Weight, Cumulative Obesity Dose, and the Risk of Incident Type 2 Diabetes" @default.
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• W2784331350 doi "https://doi.org/10.1155/2018/8435762" @default.
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