Discovering the Relationship between Anxiety or Depression and Risk Factors of Coronary Artery Disease
DOI:
https://doi.org/10.3889/oamjms.2023.10832Keywords:
CAD, anxiety, depression, risk factorsAbstract
BACKGROUND: Psychosocial problems, including anxiety or depression, potentially activate several mechanisms that affect coronary artery disease (CAD) cardiovascular risk factors. Their clinical association, however, remains undiscovered.
AIM: The objective of this study was to discover the association between the prevalence of anxiety or depression and risk factors of CAD.
METHODS: A cross-sectional study was conducted from July to October 2019. Subject population was CAD patients hospitalized in the Cardiac Care Unit at Hasan Sadikin General Hospital Bandung. We included patients with a history of CAD who underwent revascularization and filled the Hospital Anxiety and Depression Scale (HADS) questionnaire before discharge. Patients were classified according to normal (HADS score of 0–7) or abnormal levels of anxiety or depression (HADS score of 8–21). From each patient, we obtained information on risk factors of CAD, including smoking, physical inactivity, dyslipidemia, hypertension, diabetes mellitus (DM), and family history of CAD.
RESULTS: Ninety-nine CAD patients (79% male, mean age: 59 ± 10.5 years) were included in the study; 40% were smokers, 60% had physical inactivity, 11% had dyslipidemia, 57% had hypertension, 13% had DM, 7% had a family history of CAD, and 23% subjects had abnormal levels of anxiety or depression. The relationship between anxiety or depression in CAD patients and smoking behavior (p = 0.802), family history of CAD (p = 0.563), dyslipidemia (p = 0.738), hypertension (p = 0.283), and DM (p = 0.403) was not statistically significant.
CONCLUSIONS: The present study showed that the prevalence of anxiety or depression in CAD patients was relatively moderate. We revealed that psychosocial factors are not associated with risk factors of CAD, stressing that psychosocial factors are independent of conventional CAD risk factors in CAD and merit attention for individual management.
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Copyright (c) 2023 Badai Bhatara Tiksnadi, Cindya Perthy Iswandi, Transiska Liesmadona Bijaksana, Nicolaus Novian Dwiya Wahjoepramono (Author)
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