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논문 기본 정보

자료유형
학술저널
저자정보
Jeon Eun-Jin (Department of Psychiatry Jeonbuk National University Hospital) Kang Shi-Hyun (Department of Social Psychiatry and Rehabilitation National Center for Mental Health) Yan-Hong Piao (Department of Psychiatry Jeonbuk National University Medical School) Kim Sung-Wan (Department of Psychiatry Chonnam National University Medical School) Kim Jung-Jin (Department of Psychiatry The Catholic University of Korea Seoul St. Mary’s Hospital) Lee Bong-Ju (Department of Psychiatry Inje University Haeundae Paik Hospital Inje University College of Medicine) Yu Je-Chun (Department of Psychiatry Eulji University School of Medicine Eulji University Hospital) Lee Kyu-Young (Department of Psychiatry Nowon Eulji Medical Center Eulji University) Won Seunghee (Department of Psychiatry School of Medicine Kyungpook National University) Lee Seung-Hwan (Department of Psychiatry Inje University Ilsan Paik Hospital) Kim Seung-Hyun (Department of Psychiatry Korea University College of Medicine Guro Hospital) Kim Eui-Tae (Department of Psychiatry Seoul National University Bundang Hospital) Clara Tammy Kim (Institute of Life and Death Studies Hallym University) Dominic Oliver (King’s College London) Paolo Fusar-Poli (King’s College London) Fatima Zahra Rami (Department of Psychiatry Jeonbuk National University Medical School) Chung Young-Chul (Department of Psychiatry Jeonbuk National University Hospital)
저널정보
대한신경정신의학회 PSYCHIATRY INVESTIGATION PSYCHIATRY INVESTIGATION 제19권 제3호
발행연도
2022.3
수록면
197 - 206 (10page)
DOI
10.30773/pi.2021.0328

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Objective Comprehensive understanding of polyenvironmental risk factors for the development of psychosis is important. Based on a review of related evidence, we developed the Korea Polyenvironmental Risk Score (K-PERS) for psychosis. We investigated whether the K-PERS can differentiate patients with schizophrenia spectrum disorders (SSDs) from healthy controls (HCs).Methods We reviewed existing tools for measuring polyenvironmental risk factors for psychosis, including the Maudsley Environmental Risk Score (ERS), polyenviromic risk score (PERS), and Psychosis Polyrisk Score (PPS). Using odds ratios and relative risks for Western studies and the “population proportion” (PP) of risk factors for Korean data, we developed the K-PERS, and compared the scores thereon between patients with SSDs and HCs. In addition, correlation was performed between the K-PERS and Positive and Negative Syndrome Scale (PANSS).Results We first constructed the “K-PERS-I,” comprising five factors based on the PPS, and then the “K-PERS-II” comprising six factors based on the ERS. The instruments accurately predicted participants’ status (case vs. control). In addition, the K-PERS-I and -II scores exhibited significant negative correlations with the negative symptom factor score of the PANSS.Conclusion The K-PERS is the first comprehensive tool developed based on PP data obtained from Korean studies that measures polyenvironmental risk factors for psychosis. Using pilot data, the K-PERS predicted patient status (SSD vs. HC). Further research is warranted to examine the relationship of K-PERS scores with clinical outcomes of psychosis and schizophrenia.

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