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한국어판 강박적 성행동 장애 척도(K-CSBD-19)의 타당화 연구

A Validation Study of the Korean Version of the Compulsive Sexual Behavior Disorder Scale (K-CSBD-19)

박경우|장혜인
한국건강심리학회 (Korean Health Psychological Association)|2021.09|한국심리학회지: 건강 (Korean Journal of Health Psychology)|제26권 제5호|pp. 859-879|DOI 10.17315/kjhp.2021.26.5.002

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성중독강박적 성행동 장애compulsive sexual behavior disordersex addiction성욕 과다색정증색정광hypersexualitysatyriasisnymphomania
주제분류심리과학

초록

강박적 성행동 장애(CSBD)는 국제질병분류 제11차 개정안(ICD-11)에서 충동조절장애군의 하나로 포함되었다. CSBD 관련 문제는 특정 민족이나 문화권에 국한되지 않으며 범국가적 관심을 요구하지만, 현재까지의 연구 대다수는 서구권을 중심으로 수행되었다. 국내 CSBD 관련 연구를 촉진하기 위한 첫걸음으로, 본 연구는 ICD-11 진단지침을 토대로 개발된 CSBD 선별척도인 CSBD-19를 한국어로 번안 및 타당화하였다. 참여자는 온라인으로 표집된 성인 404명(남 179, 여 225)이었으며 연령 범위는 19∼69세였다(M=45.01, SD=13.54). 확인적 요인분석 결과 선행연구에서 제안된 5요인(통제, 현저성, 재발, 불만족, 부정적 결과) 모형은 본 연구의 한국인 참여자들에게도 적합한 것으로 나타났다. K-CSBD-19 전체 척도 및 하위요인들의 내적 합치도 또한 양호한 수준이었고(전체 척도=.938, 하위요인=.712∼.898), 기존에 개발된 유관 척도와의 공인 타당도 역시 확보되었다. 다음으로 CSBD 고위험군 식별을 위한 절단점을 탐색하고자 잠재프로파일분석 및 ROC 분석을 수행하였으며, 표본의 3.7%가 고위험군으로 분류되고 이들을 식별하는 최적 절단점은 48.5점으로 제안되었다. 끝으로 본 연구의 의의와 한계점을 논하고 후속연구를 제언하였다.

Abstract

Compulsive sexual behavior disorder (CSBD) is now included as an impulse control disorder in the International Classification of Diseases 11th Revision (ICD-11). CSBD-related problems require global attention as they are not limited to a particular ethnic group or culture. The majority of prior studies have been conducted in western societies. As a first step towards stimulating CSBD research in Korea, we translated and validated CSBD-19, a recently developed screening measure of CSBD, into Korean. The subjects were 404 adults (179 men and 225 women) ranging in age from 19 to 69 years old (mean age=45.01, standard deviation=13.54). The results of confirmatory factor analysis indicated that a five-factor (control, salience, relapse, dissatisfaction, negative consequences) model proposed in a previous study was fit for the current data. Internal consistency coefficient of the Korean version of CSBD-19 (K-CSBD-19) were also good (total items=.938, sub-domains=.712~.898). The results of concurrent validity analysis showed that K-CSBD-19 was positively correlated with the existing scales of related variables. Next, latent profile analysis and receiver operating characteristic analysis were conducted to calculate cut-off points for classifying individuals at high risk of CSBD. We identified a high-risk group of 3.7 percent of the total samples, and a score of 48.5 was proposed as an optimal cut-off point. Lastly, theoretical and practical implications as well as the limitations of this study were discussed.

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