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유방암 생존자의 기분장애 발생 위험요인Risk Factor of Mood Disorder Development in Breast Cancer Survivors

Other Titles
Risk Factor of Mood Disorder Development in Breast Cancer Survivors
Authors
박민애서화정
Issue Date
Apr-2021
Publisher
대한불안의학회
Keywords
Breast neoplasms·Depression·Anxiety·Cohort studies·Prescriptions.; 유방암·우울증·불안장애·코호트 연구·처방약물.
Citation
대한불안의학회지, v.17, no.1, pp.34 - 40
Journal Title
대한불안의학회지
Volume
17
Number
1
Start Page
34
End Page
40
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/80888
DOI
10.24986/anxmod.2021.17.1.005
ISSN
2586-0151
Abstract
Objective : The questionnaire-based study model has a problem in that there is no information on diseases and drugs to determine the association between mood disorders and the severity of comorbid diseases in cancer survivors. This study used claim data collected by the National Health Insurance Corporation over nine years to identify risk factors of mood disorders in breast cancer survivors Methods : 2,065 patients were included in this study, excluding someone who were diagnosed mood disorders one year before breast cancer diagnosis. All statistical analysis was performed with R4.0.0 Chi-Square test and Cox’s proportional hazards model was performed. Results : Chi-square test was performed to confirm the general characteristics of the subjects. There were 461 (22.32%) patients with mood disorders and 1,604 (77.67%) patients with no mood disorders. In the univariate Model 1 according to the CCI, the HR in the case of CCI 2 was analyzed as 1.629(95% CI, 1.15-2.30), CCI≥3 was analyzed as 2.031(95% CI 1.48-2.78), compared to the study subjects with CCI=0. The age and survivorship adjusted Model 2 HR, CCI=2 was 1.615(95% CI, 1.14-2.28), CCI≥3 was analyzed as 1.924 (95% CI 1.40-2.65). The fully adjusted Model 3 HR, CCI=2 was 1.599 (95% CI, 1.12-2.28), CCI≥3 was analyzed as 1.760 (95% CI 1.25-2.49). Conclusion : In order to improve the long-term quality of life for breast cancer survivors in the future, it is necessary to manage survivorship, the severity of comorbidities, which are identified as risk factors for the development of mood disorders. (Anxiety and Mood 2021;17(1):34-40)
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