Using Inflammatory Correlates to Predict Type 2 Diabetes Mellitus in US Adults

Authors

• A Amare
• SH Jackson

Abstract

Increasing data from cross sectional and prospective studies using anti-inflammatory interventions support a role for inflammation in the pathogenesis of diabetes (DM). We examined the retrospective effects of inflammation correlates (IC) on DM occurrence. We examined data from the Coronary Artery Risk Development in Young Adults Study, which followed a cohort of adults from 1985-2010. The data used come from 3221 non-diabetic respondents at Wave 7 (aged 38-50) followed into Wave 8 (aged 43-55). Two IC (gender-adjusted uric acid (UA) and fibrinogen), 6 measures of metabolic risk (cholesterol, blood pressure, and waist circumference) and socio-demographics were measured in each study Wave; UA at baseline, Waves 7, 6 and 5, and fibrinogen at Waves 3 and 7. Occurrence of DM was assessed using hemoglobin A1c, fasting plasma glucose and self-report. Multiple logistic regressions were used to assess overall and race-specific associations. At Wave 8, 209 new cases of DM were identified. We found that each IC at Wave 7 predicted the occurrence of diabetes at Wave 8 independent of socio-demographics and metabolic risk factors (p

Scientific Focus Area: Health Disparities

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