Parity and incidence of non-insulin-dependent diabetes mellitus

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Abstract

purpose: To examine prospectively the association between parity and subsequent incidence of non-insulin-dependent diabetes mellitus (NIDDM). Most previous studies have not controlled for potential confounding by age and obesity.

patients and methods: In a prospective cohort study, 113,606 United States registered nurses aged 30 to 55 years and free of diagnosed diabetes, coronary heart disease, stroke, and cancer at baseline were followed for 12 years. Endpoint was incidence of confirmed NIDDM.

results: During 1,278,188 person-years of follow-up, we confirmed 2,310 incident cases of NIDDM. An apparent association between parity and diabetes was observed in unadjusted analyses (relative risk = 1.56 [95% confidence interval (CI), 1.27 to 1.91] among women with six or more births compared with that in nulliparous women) (p, trend <0.00001). This association was attenuated after adjustment for age (relative risk = 1.19 [CI 0.97 to 1.48], p, trend = 0.06) and was completely abolished after adjustment for both age and body mass index (relative risk = 0.95 [CI 0.75 to 1.19], p, trend = 0.19). Multivariate adjustment for family history of diabetes, age at first birth, hormone use, and other variables did not materially alter these findings. There was no important modifying effect of family history of diabetes on these associations.

conclusions: Despite a temporary diabetogenic effect of pregnancy, parity is not associated with an increased risk of subsequent clinical NIDDM. These data underscore the importance of control for confounding by age and obesity in evaluating these associations.

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      The association might have been stronger with the inclusion of the missed information (Druet et al., 2006). Thirdly, some included studies (Fowler-Brown et al., 2010; Manson et al., 1992; Tian et al., 2014) had not evaluated the appropriate population, e.g. the study was hospital based, had age restrictions (≥ 60 or 45 years), which might have led to bias and impacted the association between parity and the T2DM risk (Egger et al., 1997; Higgins & Green, 2011). Fourthly, geographic location and age can be important factors in the risk estimates for T2DM (Chan et al., 2009).

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    This work was supported by research grants (DK 36798, HL 34594, and CA 40356) from the National Institutes of Health.

    1

    Dr. Manson was the recipient of a fellowship from the Andrew W. Mellon Foundation.

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