Abstract

Introduction: Obesity and metabolic dysfunction, individually, are known risk factors of stroke, coronary artery disease (CAD), and mortality. However, few studies have examined the long-term risk for CAD among non-obese people with metabolic dysfunction, and no studies have been conducted for Veterans of the United States. Hypothesis: Veterans who are metabolically obese normal weight (MONW) at baseline have an increased risk of developing CAD compared to metabolically healthy normal weight (MHNW) veterans enrolled in the Million Veteran Program (MVP). Methods: We included MVP participants who had a stable normal body mass index (18.5-25kg/m 2 ) five years prior to enrollment. Metabolic obesity was defined as having three or more of the Adult Treatment Panel III criteria [diabetes, hypertension, low HDL-C (≤40 mg/dl for men, ≤50 mg/dl for women), and high triglycerides (≥150 mg/dl)] at enrollment. CAD was defined as non-fatal myocardial infarction, ischemic heart disease or angina pectoris. Participants with prevalent CAD, major cancers and incomplete lifestyle information were excluded. Cox proportional hazards regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for CAD incidence. In secondary analyses, we stratified by sex and race to evaluate possible effect modification. Results: Of the 16,764 people identified as normal weight with complete data, 15% were MONW, 84.5% were male, 84.4% were White and the mean age was 63.1 ± 14.2. Over a median follow up of 3.6 (IQR 1.8-5.2) years, there were 847 incident CAD events observed. MONW individuals had a 64% (95% CI: 40 -91%) higher risk of CAD compared to normal weight individuals, controlling for age, race, sex, education, smoking status, physical activity, alcohol use and diet. In secondary analyses, we observed a nominally higher risk among women who were MONW [HR (95% CI): 2.74 (1.30-5.77) for women vs. 1.60 (1.37-1.88) for men], however the interaction of MONW and sex was not statistically significant (interaction p=0.19). Similarly, the interaction of MONW and race was not statistically significant [1.62 (1.37-1.92) for White, 1.55 (0.97-2.48) for Black, and 2.26 (1.03-4.95) for other, interaction p=0.83)]. Conclusions: MONW Veterans had a higher risk of CAD compared to MHNW Veterans. This risk was magnified in female Veterans and attenuated in White and Black Veterans compared to other races (Asian, Pacific Islander, Native American, other). These findings will need to be validated in future studies.

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