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      Low Birth Weight, Cumulative Obesity Dose, and the Risk of Incident Type 2 Diabetes

      research-article
      1 , 2 , 3 ,
      Journal of Diabetes Research
      Hindawi

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          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.

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          Most cited references15

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          Genomics, type 2 diabetes, and obesity.

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            Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis. 1992.

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              Excess Body Mass Index- and Waist Circumference-Years and Incident Cardiovascular Disease: The CARDIA Study

              Objective Determine the influence of the total cumulative exposure to excess overall and abdominal adiposity on the incidence of cardiovascular disease (CVD). Design Prospective study of 4,061 white and black adults without CVD at baseline in 1985-86 (age 18-30 years) from the multicenter, community-based CARDIA study. Time-varying excess body mass index (BMI) and waist circumference (WC)-years were calculated as products of the degree and duration of excess overall (BMI ≥25 kg/m2) and abdominal adiposity [WC >94 cm (men) and >80 cm (women)], respectively, collected at up to eight examinations. Results During a median of 24.8 years, there were 125 incident CVD, 62 coronary heart disease (CHD), and 33 heart failure (HF) events. Adjusted hazard ratios for CVD, CHD, and HF for each additional 50 excess BMI-years were 1.20 (1.08, 1.34), 1.25 (1.07, 1.46), and 1.45 (1.23, 1.72), respectively. For each 50 excess WC-years, these hazard ratios were 1.10 (1.04, 1.18), 1.13 (1.03, 1.24), and 1.22 (1.11, 1.34), respectively. Akaike information criterion values were lowest in models containing time-varying excess BMI- or WC-years than those including time-varying BMI or WC only. Conclusions Excess BMI- and WC-years are predictors of the risk of CVD and may provide a better indicator of the cumulative exposure to excess adiposity than BMI or WC only.
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                Author and article information

                Contributors
                Journal
                J Diabetes Res
                J Diabetes Res
                JDR
                Journal of Diabetes Research
                Hindawi
                2314-6745
                2314-6753
                2018
                9 January 2018
                : 2018
                : 8435762
                Affiliations
                1School of Public Health, University of Saskatchewan, Saskatoon, SK, Canada
                2Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada
                3Department of Medicine, Canadian Centre for Health and Safety in Agriculture, University of Saskatchewan, Saskatoon, SK, Canada
                Author notes

                Academic Editor: Andrea Scaramuzza

                Author information
                http://orcid.org/0000-0002-5435-0538
                Article
                10.1155/2018/8435762
                5818910
                29541643
                25774c0f-280f-4c7d-8b69-a679e83cc31f
                Copyright © 2018 Cindy Feng et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 July 2017
                : 21 November 2017
                : 29 November 2017
                Categories
                Research Article

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