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Poor Health-Related Quality of Life and Proactive Primary Control Strategy May Act as Risk Factors for Acute Coronary Syndrome

  • Seo, Jihyeon (Department of Psychology, Yonsei University) ;
  • Lee, Yoonpyo (Division of Cardiology, School of Medicine, Ewha Womans University Mokdong Hospital) ;
  • Kang, Seokhyung (Division of Cardiology, School of Medicine, Ewha Womans University Mokdong Hospital) ;
  • Chun, Hyejin (Department of Health Promotion Center, School of Medicine, Ewha Womans University Mokdong Hospital) ;
  • Pyun, Wook Bum (Division of Cardiology, School of Medicine, Ewha Womans University Mokdong Hospital) ;
  • Park, Seong-Hoon (Division of Cardiology, School of Medicine, Ewha Womans University Mokdong Hospital) ;
  • Chung, Kyong-Mee (Department of Psychology, Yonsei University) ;
  • Chung, Ick-Mo (Division of Cardiology, School of Medicine, Ewha Womans University Mokdong Hospital)
  • Received : 2014.10.13
  • Accepted : 2014.12.11
  • Published : 2015.03.30

Abstract

Background and Objectives: Increasing evidence supports that psychological factors may be related to development of coronary artery disease (CAD). Although psychological well-being, ill-being, and control strategy factors may play a significant role in CAD, rarely have these factors been simultaneously examined previously. We assessed comprehensive psychological factors in patients with acute coronary syndrome (ACS). Subjects and Methods: A total of 85 ACS patients (56 unstable angina, 29 acute myocardial infarction; $52.6{\pm}10.2years$; M/F=68/17) and 63 healthy controls ($48.7{\pm}6.7years$, M/F=43/20) were included. Socio-demographic information, levels of psychological maladjustment, such as anxiety, hostility, and job stress, health-related quality of life (HRQoL), and primary and secondary control strategy use were collected through self-report questionnaires. Results: There was no significant difference between the ACS group and control group in levels of anxiety, hostility, and job stress. However, ACS patients had significantly lower scores on the general health perception and bodily pain subscales of HRQoL than the control group. The ACS group, as compared with the controls, tended to use primary control strategies more, although not reaching statistical significance by univariate analysis. Multivariate logistic regression analysis after adjusting age and gender identified the physical domain of HRQoL {odds ratio (OR)=0.40}, primary control strategy (OR=1.92), and secondary control strategy (OR=0.53) as independent predictors of ACS. Conclusion: Poor HRQoL and primary control strategy, proactive behaviors in achieving ones' goal, may act as risk factors for ACS, while secondary control strategy to conform to current situation may act as a protective factor for ACS.

Keywords

Acknowledgement

Grant : 글로벌 창의인재 양성 심리과학 사업단

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