Poor Health-Related Quality of Life and Proactive Primary Control Strategy May Act as Risk Factors for Acute Coronary Syndrome.
10.4070/kcj.2015.45.2.117
- Author:
Jihyeon SEO
1
;
Yoonpyo LEE
;
Seokhyung KANG
;
Hyejin CHUN
;
Wook Bum PYUN
;
Seong Hoon PARK
;
Kyong Mee CHUNG
;
Ick Mo CHUNG
Author Information
1. Department of Psychology, Yonsei University, Seoul, Korea. kmchung@yonsei.ac.kr
- Publication Type:Original Article
- Keywords:
Acute coronary syndrome;
Quality of life;
Psychological stress
- MeSH:
Acute Coronary Syndrome*;
Angina, Unstable;
Anxiety;
Coronary Artery Disease;
Hostility;
Humans;
Logistic Models;
Myocardial Infarction;
Psychology;
Quality of Life*;
Risk Factors*;
Stress, Psychological;
Surveys and Questionnaires
- From:Korean Circulation Journal
2015;45(2):117-124
- CountryRepublic of Korea
- Language:English
-
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+/-10.2 years; M/F=68/17) and 63 healthy controls (48.7+/-6.7 years, 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.
