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Prediction of major depressive episodes and suicide-related ideation over a 3-year interval among Japanese undergraduates
BACKGROUND: Suicide has been a leading cause of death among young adult populations in Japan. The aim of this study was to predict major depressive episodes (MDEs) and suicide-related ideation among university students using the Patient Health Questionnaire-9 (PHQ-9) and the Temperament and Characte...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6053211/ https://www.ncbi.nlm.nih.gov/pubmed/30024966 http://dx.doi.org/10.1371/journal.pone.0201047 |
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author | Mitsui, Nobuyuki Asakura, Satoshi Takanobu, Keisuke Watanabe, Shinya Toyoshima, Kuniyoshi Kako, Yuki Ito, Yoichi M. Kusumi, Ichiro |
author_facet | Mitsui, Nobuyuki Asakura, Satoshi Takanobu, Keisuke Watanabe, Shinya Toyoshima, Kuniyoshi Kako, Yuki Ito, Yoichi M. Kusumi, Ichiro |
author_sort | Mitsui, Nobuyuki |
collection | PubMed |
description | BACKGROUND: Suicide has been a leading cause of death among young adult populations in Japan. The aim of this study was to predict major depressive episodes (MDEs) and suicide-related ideation among university students using the Patient Health Questionnaire-9 (PHQ-9) and the Temperament and Character Inventory (TCI). METHODS: The subjects were 2194 university students who completed the PHQ-9 and TCI in the 1st year (T1) and the PHQ-9 in the 4th year (T2) of university. Multiple logistic regression analysis was performed to predict MDEs and suicide-related ideation at T2. Moreover, recursive partitioning analyses were conducted to reveal the future risk of MDEs and suicide-related ideation. RESULTS: The multiple logistic regression analyses of MDEs and suicide-related ideation at T2 revealed that depressive episodes, suicide-related ideation, and low self-directedness(SD) scores at T1 were significant predictors. The area under the curve of the model for MDEs was 0.858 and that for suicide-related ideation was 0.741. The recursive partitioning analyses revealed that a PHQ-9 summary score ≥15 at T1 predicted a high risk of MDEs at T2 and that both a PHQ-9 summary score ≥5 and a PHQ-9 #9 score ≥1 predicted a high risk of suicide-related ideation at T2. CONCLUSIONS: MDEs, suicide-related ideation, and low SD scores are significant predictors of future MDEs and suicide-related ideation. |
format | Online Article Text |
id | pubmed-6053211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60532112018-07-27 Prediction of major depressive episodes and suicide-related ideation over a 3-year interval among Japanese undergraduates Mitsui, Nobuyuki Asakura, Satoshi Takanobu, Keisuke Watanabe, Shinya Toyoshima, Kuniyoshi Kako, Yuki Ito, Yoichi M. Kusumi, Ichiro PLoS One Research Article BACKGROUND: Suicide has been a leading cause of death among young adult populations in Japan. The aim of this study was to predict major depressive episodes (MDEs) and suicide-related ideation among university students using the Patient Health Questionnaire-9 (PHQ-9) and the Temperament and Character Inventory (TCI). METHODS: The subjects were 2194 university students who completed the PHQ-9 and TCI in the 1st year (T1) and the PHQ-9 in the 4th year (T2) of university. Multiple logistic regression analysis was performed to predict MDEs and suicide-related ideation at T2. Moreover, recursive partitioning analyses were conducted to reveal the future risk of MDEs and suicide-related ideation. RESULTS: The multiple logistic regression analyses of MDEs and suicide-related ideation at T2 revealed that depressive episodes, suicide-related ideation, and low self-directedness(SD) scores at T1 were significant predictors. The area under the curve of the model for MDEs was 0.858 and that for suicide-related ideation was 0.741. The recursive partitioning analyses revealed that a PHQ-9 summary score ≥15 at T1 predicted a high risk of MDEs at T2 and that both a PHQ-9 summary score ≥5 and a PHQ-9 #9 score ≥1 predicted a high risk of suicide-related ideation at T2. CONCLUSIONS: MDEs, suicide-related ideation, and low SD scores are significant predictors of future MDEs and suicide-related ideation. Public Library of Science 2018-07-19 /pmc/articles/PMC6053211/ /pubmed/30024966 http://dx.doi.org/10.1371/journal.pone.0201047 Text en © 2018 Mitsui et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Mitsui, Nobuyuki Asakura, Satoshi Takanobu, Keisuke Watanabe, Shinya Toyoshima, Kuniyoshi Kako, Yuki Ito, Yoichi M. Kusumi, Ichiro Prediction of major depressive episodes and suicide-related ideation over a 3-year interval among Japanese undergraduates |
title | Prediction of major depressive episodes and suicide-related ideation over a 3-year interval among Japanese undergraduates |
title_full | Prediction of major depressive episodes and suicide-related ideation over a 3-year interval among Japanese undergraduates |
title_fullStr | Prediction of major depressive episodes and suicide-related ideation over a 3-year interval among Japanese undergraduates |
title_full_unstemmed | Prediction of major depressive episodes and suicide-related ideation over a 3-year interval among Japanese undergraduates |
title_short | Prediction of major depressive episodes and suicide-related ideation over a 3-year interval among Japanese undergraduates |
title_sort | prediction of major depressive episodes and suicide-related ideation over a 3-year interval among japanese undergraduates |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6053211/ https://www.ncbi.nlm.nih.gov/pubmed/30024966 http://dx.doi.org/10.1371/journal.pone.0201047 |
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