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Canonical Correlation between Behavioral-Psychological Variables and Predictors of Coronary Artery Disease Prognosis

Chul-Hoon Kim, In-Kyoung Noh, Jung Mi Ryu, Eun Jung Bae, Hoo Jeung Cho and Myoung Soo Kim
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Chul-Hoon Kim: College of Medicine, Dong-A University, Busan 49201, Korea
In-Kyoung Noh: Department of Internal Medicine, Kosin University Gospel Hospital, Busan 49267, Korea
Jung Mi Ryu: Department of Nursing, Pukyong National University, Busan 48513, Korea
Eun Jung Bae: Department of Nursing, Pukyong National University, Busan 48513, Korea
Hoo Jeung Cho: Department of Nursing, Pukyong National University, Busan 48513, Korea
Myoung Soo Kim: Department of Nursing, Pukyong National University, Busan 48513, Korea

IJERPH, 2020, vol. 17, issue 5, 1-14

Abstract: Metabolic syndrome (MetS) and severity of coronary artery disease (CAD) are considered predictors of CAD prognosis. Unhealthy lifestyles and type-D personality are associated with MetS and are potential causes of primary and secondary CAD. In this cross-sectional descriptive study, we aimed to investigate the relationship between behavioral-psychological variables and predictors of CAD prognosis. The behavioral-psychological variable set contained six lifestyle categories and two type-D personality categories. Descriptive analyses, t-tests, analysis of variance, Pearson’s correlation, and canonical correlation were used. The behavioral-psychological variable set was related to the predictor set for CAD prognosis, with a significant canonical variate of 0.67 (45% overlapping variance). Significant pairs of canonical variates indicated that poor physical activity and weight control (−0.77), poor dietary habits (−0.78), alcohol consumption and cigarette smoking (−0.37), lack of sleep and rest (−0.40), stress (−0.64) in the lifestyle set, higher negative affectivity (0.52), and social inhibition (0.71) in the type-D personality set were associated with a high MetS score (0.59) and severity of CAD (0.91). A combination of behavioral and psychological variables was found to be important in predicting the prognosis of CAD; therefore, interventions aimed at preventing combinations of these variables may be effective in improving CAD prognosis.

Keywords: coronary artery disease; lifestyle; metabolic syndrome; severity of illness index; type-D personality (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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