Is Diabetes a Predictor of a Diagnosis of Hypertension in the Population of 32- to 70-year-olds in a Cohort Study? A Multivariate Logistic Regression Analysis of a Subset of Data Obtained from the Framingham Study

Objective: Assess the independent role of diabetes on hypertension using logistic regression, while adjusting for covariates such as age, sex, BMI Methods: A subset of data from the Framingham Cohort study, with 5,209 participants and collected across three periods from 1956 to 1968, was analyzed. The dataset includes laboratory, clinic, questionnaire, and event data from 4,434 individuals and was analyzed using SAS software for logistic regression. Results:In the adjusted model, diabetes was not associated with hypertension (aOR:1.1, 95% CI:0.67-1.81, p=0.7). Females had 26% higher odds of hypertension than males (aOR=1.26, 95%CI:1.09-1.25, p=0.00). Participants aged 51 or older (aOR=2.86, 95%CI:2.37-2.47, p Conclusions: The adjusted model revealed that BMI, sex, and age are significant predictors of hypertension. Further studies are needed to assess the relationship between hypertension and diabetes. BMI continues to play a pivotal role in influencing hypertension outcomes and contributes significantly to the burden on the U.S. public health system.