Abstract

SANCHEZ, A et al. Anthropometric Indexes Predicting Cardiometabolic Risk: Prospective Cohort Study in a Population of Employees of Public Hospitals. Rev. argent. endocrinol. metab. [online]. 2014, vol.51, n.4, pp.185-191. ISSN 1851-3034.

In recent decades, a significant increase has been observed in noncommunicable chronic diseases associated with unhealthy lifestyles, with obesity being a chronic disease in itself and at the same time a recognized risk factor for many other conditions. The aim of this study is to assess the predictive value of body mass index (BMI), waist circumference and waist index / height for the development of high blood pressure (hypertension), high cholesterol and type 2 diabetes (DM2) in a cohort of public hospital employees from Posadas, Misiones, who were followed up from 2002 to 2012. Of the total population of 989 public employees, we selected 259 subjects with normal blood pressure, no hypercholesterolemia and no diabetes at baseline. Personal interviews, anthropometric and blood pressure measurements were performed and blood samples were collected after a 12-hour fast. For the event analysis, the Cox proportional hazards model was used, calculating the corresponding Hazard Ratio (HR) adjusted for age and sex. BMI significantly predicted the development of hypertension (HR: 1.100, CI: 1.054 to 1.148, p < 0.001) and DM2 (HR: 1.253, CI: 1.122 to 1.40, P < 0.001). The waist circumference was associated with hypertension (HR: 2.273, CI: 1.465 to 3.826, p < 0.001) and DM2 (HR: 5.578, CI: 1.247 to 24.92, p = 0.024). The waist / height ratio significantly predicted the development of hypertension (HR: 2.173, CI: 1.438 to 3.283, p < 0.001) and DM2 (HR: 5.875, CI: 1.140 to 30.28, p = 0.034). None of the indicators of obesity evaluated was significantly associated with the development of hypercholesterolemia. We conclude that BMI, waist circumference and waist / height ratio predicted the development of hypertension and type 2 diabetes. This underlines the usefulness of these indicators for monitoring the above-referred conditions by traditional anthropometric measurements. Rev Argent Endocrinol Metab 51:185-191, 2014 No financial conflicts of interest exist.

Keywords : Obesity; Arterial hypertension; Type 2 diabetes; Hypercholesterolemia; Cohort study.

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