Predicting coronary artery disease risk in firefighters – a cross-sectional study

Abstract

Background: Firefighters are placed under severe cardiovascular load in performing active duty and, when carrying various coronary artery disease (CAD) risk factors, firefighters are predisposed to significant morbidity and mortality. Reducing the incidence of these risk factors is paramount. The purpose of this study is to determine the predictors of CAD risk.   Methods: This study used a quantitative, cross-sectional and correlational design. The researchers conveniently sampled 124 full-time firefighters from the City of Cape Town Fire and Rescue Service. A researcher-generated questionnaire was used to collect sociodemographic and CAD risk factors information, such as age, gender, ethnicity, family history of CAD, cigarette smoking and physical activity levels, and all research procedures were conducted according to the American College of Sports Medicine guidelines. Data collection took place between September and November 2019. Linear and logistic regression were used to determine the relationship between the various CAD risk factors and the predictors of CAD risk.   Results: Age was a significant predictor of hypertension (p <0.01), dyslipidemia (p <0.01), diabetes (p <0.01), obesity (p <0.01) and central obesity (p <0.01). Gender was a significant predictor of obesity, central obesity and cigarette smoking (p <0.05). Waist circumference was a significant predictor of hypertension (p <0.01), dyslipidemia (p <0.01) and diabetes (p <0.05).   Conclusion: Age was a significant predictor of various modifiable CAD risk factors, including obesity, in both genders and all ethnicities. Attentive monitoring should be in place as firefighters age, along with behavioural modifications designed to reduce age-related increases in CAD risk factors.