Speer H, D’Cunha NM, Naumovski N, et al. - The present study was performed to explore anthropometric and physical measurements, as well as blood and saliva biomarkers, as predictors for hypertension using datasets from the 2008 Health and Retirement Study. Researchers recruited a total of 2924 participants (aged 74.84 ± 6.45 years). The effects of gender, age, telomere length, C-reactive protein (CRP), BMI, and additional markers on the odds of developing hypertension were ascertained by performing Binary logistic regression. This research gives verification for BMI as a predictor for hypertension and proposes age and CRP as predictors for females. When evaluating hypertension risk to improve clinical outcomes and promote healthy aging, specific gender differences and life stage should be considered.