Validity and Reliability of the Korean Version of Gotland Male Depression Scale

• 발행기관: 대한신경정신의학회
• 저자명: Jung Yeon Moon Seong Yoon Kim Seungheon Yang Seoyoung Yoon
• 간행물 정보: 『Psychiatry Investigation』제22권 제1호, 102~109쪽, 전체 8쪽
• 주제분류: 의약학 > 정신과학
• 파일형태: PDF
• 발행일자: 2025.01.01

국문 초록

Objective: Despite lower depression rates in men than in women, men’s suicide rates are significantly higher, suggesting potential gaps in depression screening. Rutz et al. developed the Gotland Male Depression Scale (GMDS), which includes symptoms commonly associated with male depression. This study was conducted to validate the Korean version of the GMDS (K-GMDS). Methods: The K-GMDS, Patient Health Questionnaire-9 (PHQ-9), and outpatient records of 233 new patients at the outpatient psychiatry department of Catholic University Hospital in Daegu from February and May 2022 were retrospectively reviewed. Internal consistency was measured using Cronbach’s α, and external validity was tested by analyzing the scale’s correlation with the PHQ-9. The screening capacity of the K-GMDS was tested based on the receiver operating characteristic (ROC) curve, sensitivity, specificity, and overall accuracy. Results: Of 233 patients, 42.6% (n=98) were classified to the depression group. Cronbach’s α was 0.92, and external validity was established with a Pearson’s correlation coefficient of 0.83 between the total score of the K-GMDS and the PHQ-9. While there were no significant differences in the area under the ROC curve between the K-GMDS and the PHQ-9, the K-GMDS had better sensitivity, specificity, and overall accuracy in screening depressive symptoms among men compared to the PHQ-9. Conclusion: The K-GMDS exhibits satisfactory reliability and validity in psychiatric outpatient settings and outperforms the PHQ-9 in screening for depression among men. This study will be useful in developing male depression scales that are currently unavailable in South Korea.

목차

INTRODUCTION

METHODS

RESULTS

DISCUSSION

REFERENCES

키워드

Depressive disorder Suicide Gender characteristics Validation study ROC curve