PDB69 FACTORS ASSOCIATED WITH PRE-DIABETES IN THE U.S ‘DIABETES-BELT’ REGION POPULATION

Abstract

To determine the factors associated with pre-diabetes in the U.S ‘diabetes-belt’ region population. - Data from the Behavioral Risk Factor Surveillance System (BRFSS) 2017, survey of U. S. adults by CDC was used for this project. Respondents of the pre-diabetes survey module were included in the analysis. The primary outcome of interest was pre-diabetes diagnosis. Behavioral risk factors such as smoking status, high cholesterol, high blood pressure, employment status, marital status, BMI status were assessed as predictors in the model. Multivariate logistic regression was conducted to examine the associations between the independent risk factors and the diagnosis of pre-diabetes (self-reported). The study analysis included 46,460 participants of which overall, 12.63% of adults reported pre-diabetes condition. After adjusting for covariates, individuals falling under the Obese category, those that are insufficiently physically active had ORs 3.036, (95%CI 2.547-3.618), 1.331, (95%CI 1.085-1.633), statistically significantly increased odds of pre-diabetes. Having high blood pressure 1.763 (95% CI: 1.521- 2.044), high cholesterol 2.146 (95% CI: 1.858- 2.479) and arthritis 1.585 (95% CI: 1.367- 1.838) showed higher odds of pre-diabetes diagnosis. Our findings indicate that sub-groups of patients (e.g. Obese category, comorbidities like high cholesterol, high blood pressure and arthritis might particularly benefit from targeted interventions and additional support such as lifestyle improvement programs. The findings therefore call for action by health care professionals to plan about prevention and management of pre-diabetes in the ‘diabetes belt’ region.