Health Behavior Risk Factors Across Age as Predictors of Cardiovascular Disease Diagnosis

Abstract

Objectives: The current study examines the prevalence of health risk behaviors and their cumulative effects on cardiovascular disease (CVD) among a sample of adults. Age cohort is also examined to determine the role of age in predicting CVD and risky health behaviors. Method: Medical records of a sample of adults from the Seattle Longitudinal Study categorized into one of four age-group cohorts were examined. Data regarding participants' health risk behaviors were examined individually and cumulatively for predicting later CVD diagnosis. Results: The prevalence of CVD increases with age, obesity, and risky medical checkups. Female risky sleepers are more likely to receive a CVD diagnosis than men who report risky sleep patterns (p < .05). Discussion: A high risk of CVD appears to exist for adults across the life span, and several risky health behaviors also seem to place individuals more at risk for being diagnosed with CVD.