| Description |
Author Affiliation: Li Y ( Department of Nutrition, Harvard T H Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA yanping@hsph.harvard.edu.); Ley SH ( Department of Nutrition, Harvard T H Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA.); Tobias DK ( Department of Nutrition, Harvard T H Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA.); Chiuve SE ( Department of Nutrition, Harvard T H Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston.); VanderWeele TJ ( Department of Epidemiology, Harvard T H Chan School of Public Health, Boston Department of Biostatistics, Harvard T H Chan School of Public Health, Boston.); Rich-Edwards JW ( Department of Epidemiology, Harvard T H Chan School of Public Health, Boston Connors Center for Women's Health and Gender Biology, Brigham and Women's Hospital, Harvard Medical School, Boston.); Curhan GC ( Department of Epidemiology, Harvard T H Chan School of Public Health, Boston Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston Renal Division, Department of Medicine, Brigham and Women's Hospital, Boston.); Willett WC ( Department of Nutrition, Harvard T H Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA Department of Epidemiology, Harvard T H Chan School of Public Health, Boston Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical Sc); Manson JE ( Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston Department of Epidemiology, Harvard T H Chan School of Public Health, Boston.); Hu FB ( Department of Nutrition, Harvard T H Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA Department of Epidemiology, Harvard T H Chan School of Public Health, Boston Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical Sc); Qi L ( Department of Nutrition, Harvard T H Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA Department of Epidemiology, Harvard T H Chan School of Public Health, Boston Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical Sc); |
| Abstract |
Objectives To prospectively assess the joint association of birth weight and established lifestyle risk factors in adulthood with incident type 2 diabetes and to quantitatively decompose the attributing effects to birth weight only, to adulthood lifestyle only, and to their interaction. Design Prospective cohort study. Setting Health Professionals Follow-up Study (1986-2010), Nurses’ Health Study (1980-2010), and Nurses’ Health Study II (1991-2011). Participants 149 794 men and women without diabetes, cardiovascular disease, or cancer at baseline. Main outcome measure Incident cases of type 2 diabetes, identified through self report and validated by a supplementary questionnaire. Unhealthy lifestyle was defined on the basis of body mass index, smoking, physical activity, alcohol consumption, and the alternate healthy eating index. Results During 20-30 years of follow-up, 11 709 new cases of type 2 diabetes were documented. The multivariate adjusted relative risk of type 2 diabetes was 1.45 (95% confidence interval 1.32 to 1.59) per kg lower birth weight and 2.10 (1.71 to 2.58) per unhealthy lifestyle factor. The relative risk of type 2 diabetes associated with a combination of per kg lower birth weight and per unhealthy lifestyle factor was 2.86 (2.26 to 3.63), which was more than the addition of the risk associated with each individual factor, indicating a significant interaction on an additive scale (P for interaction<0.001). The attributable proportions of joint effect were 22% (95% confidence interval 18.3% to 26.4%) to lower birth weight alone, 59% (57.1% to 61.5%) to unhealthy lifestyle alone, and 18% (13.9% to 21.3%) to their interaction. Conclusion Most cases of type 2 diabetes could be prevented by the adoption of a healthier lifestyle, but simultaneous improvement of both prenatal and postnatal factors could further prevent additional cases. |
