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Research Design and Methods: We prospectively followed 74,767 women from the Nurses’ Health Study (1984-2016), 90,786 women from the Nurses’ Health Study 2 (1989-2017), and 39,442 men from the Health Professionals Follow-up Study (1986-2016). Using repeated measures of food frequency questionnaires, we calculated empirical dietary inflammatory pattern (EDIP) and empirical dietary index for hyperinsulinemia (EDIH) scores which are food-based indices that characterize dietary inflammatory or insulinemic potential based on circulating biomarkers of inflammation or C-peptide. Diagnoses of type 2 diabetes were confirmed by validated supplementary questionnaires.
Results: We documented 19,666 incident type 2 diabetes cases over 4.9 million person-years of follow-up. In the pooled multivariable-adjusted analyses, individuals in the highest EDIP or EDIH quintile had 3.11 times (95% CI, 2.96-3.27) and 3.40 times (95% CI, 3.23-3.58) higher type 2 diabetes risk, respectively, compared to those in the lowest quintile. Additional adjustment for body mass index (BMI) attenuated the associations (Hazard ratio, 1.95; 95% CI, 1.85-2.05 for EDIP; Hazard ratio, 1.87; 95% CI, 1.78-1.98 for EDIH), suggesting adiposity partly mediates the observed associations. Moreover, individuals in both highest EDIP and EDIH quintiles had 2.34 times higher type 2 diabetes risk (95% CI, 2.17-2.52), compared to those in both lowest quintiles, after adjustment for BMI.
Conclusions: Higher dietary inflammatory and insulinemic potential were associated with an increased type 2 diabetes incidence. Findings suggest that inflammation and hyperinsulinemia are potential mechanisms linking dietary patterns and type 2 diabetes development.
Dong Hoon Lee, Jun Li, Yanping Li, Gang Liu, Kana Wu, Shilpa N. Bhupathiraju, Eric B. Rimm, Kathryn M. Rexrode, JoAnn E. Manson, Walter C. Willett, Frank B Hu, Fred K. Tabung, Edward L. Giovannucci (2020). Dietary Inflammatory and Insulinemic Potential and Risk of Type 2 Diabetes: Results from Three Prospective U.S. Cohort Studies. , DOI: https://doi.org/10.2337/figshare.12739601.
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Type
Preprint
Year
2020
Authors
13
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.2337/figshare.12739601
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