논문 (학술지)
Predicting Suicidal Ideation in College Students with Mental Health Screening Questionnaires
등록번호 | RPMS-2019-0090789780 | SCI 구분
?
※구분 : SCI(SCIE포함), 비SCI |
SCI |
---|---|---|---|
저자명 (주·공동저자) | Shim Geumsook; Jeong Bumseok | ||
논문구분 | 국외전문학술지 | 학술지명 | PSYCHIATRY INVESTIGATION |
ISSN | 1738-3684 | 학술지 출판일자 | 2018-08-21 |
학술지 볼륨번호 | 15 | 논문페이지 | 1037 ~ 1045 |
학술지 임팩트팩터 | 1.43 | 기여율 | 0 % |
DOI | 10.30773/pi.2018.08.21.3 | ||
초록 | Objective The present study aimed to identify risk factors for future SI and to predict individual-level risk for future or persistent SI among college students. Methods Mental health check-up data collected over 3 years were retrospectively analyzed. Students were categorized as suicidal ideators and non-ideators at baseline. Logistic regression analyses were performed separately for each group, and the predicted probability for each student was calculated. Results Students likely to exhibit future SI had higher levels of mental health problems, including depression and anxiety, and significant risk factors for future SI included depression, current SI, social phobia, alcohol problems, being female, low self-esteem, and number of close relationships and concerns. Logistic regression models that included current suicide ideators revealed acceptable area under the curve (AUC) values (0.7–0.8) in both the receiver operating characteristic (ROC) and precision recall (PR) curves for predicting future SI. Predictive models with current suicide non-ideators revealed an acceptable level of AUCs only for ROC curves. Conclusion Several factors such as low self-esteem and a focus on short-term rather than long-term outcomes may enhance the prediction of future SI. Because a certain range of SI clearly necessitates clinical attention, further studies differentiating significant from other types of SI are necessary. |
연구개발성과 등록 또는 활용에 대한 문의는 논문 연구개발성과 담당자를 통해 문의하시기 바랍니다.
[문의] 한국과학기술정보연구원 Tel : 042)716-7066, https://curation.kisti.re.kr/
- NTIS 관련 이용문의는 NTIS 콜센터(042-869-1115)로 문의하시기 바랍니다.
NTIS의 논문 정보는 국가연구개발사업 수행을 통해 발생된 성과로, 조사분석 등을 통해 입력된 정보를 수집 및 제공하고 있어, 출판사 또는 논문 정보 제공 사이트(Scienceon, RISS 등)에서 일괄 제공하는 논문 정보와 차이가 있을 수 있습니다.