Personality Types as Predictors of Breast Cancer Screening Compliance in Korean Patients: A Mixed-Method Approach
- Author:
Kyungmin KIM
1
;
Eunhee SOHN
;
Hyo-Deog RIM
;
Seoyoung JANG
;
Jungmin WOO
Author Information
- Publication Type:Original Article
- From:Psychiatry Investigation 2020;17(11):1079-1089
- CountryRepublic of Korea
- Language:English
-
Abstract:
Objective:The purpose of this study is to identify personality types that can influence breast cancer screening (BCS) compliance among Korean women with breast cancer using a mixed-method approach.
Methods:The participants consisted of 93 women who underwent surgery for breast cancer between July 2010 and March 2012. The demographic and medical characteristics of the participants were evaluated through structured interviews. To identify personality types, in-depth interviews were performed and the transcribed interviews were evaluated using interpretive phenomenological analysis. The participants were categorized into two groups (compliance and non-compliance) based on compliance with the Korean Breast Cancer Society recommendations for BCS.
Results:Five personality types were identified through phenomenological analysis. There were significant differences in the chi-square test results for the BCS compliance and non-compliance groups according to age (p=0.048), cancer stage (p<0.001), and personality types (p=0.018). Logistic regression showed that the odds ratio for compliance with BCS was 9.35 (p=0.01) for individuals with a cautious-organized personality type, 9.38 (p=0.02) for those with a cautious-dependent personality, and 10.58 (p=0.04) for those with a sensitive-downcast personality compared to those with a cautious personality type.
Conclusion:Participants with cautious-organized, cautious-dependent, and sensitive-downcast personality types were less likely to follow the BCS recommendations than those with a cautious personality type. This study provides a basis for the future development of an effective questionnaire to investigate the personality types of individuals with breast cancer in order to predict compliance with BCS.
