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  1. 学術雑誌論文
  2. 4 自然科学

Criteria for detection of possible risk factors for mental health problems in undergraduate university students

http://hdl.handle.net/10228/0002001142
http://hdl.handle.net/10228/0002001142
41198a05-5335-431e-95c1-3358084730e9
名前 / ファイル ライセンス アクション
10444560.pdf 10444560.pdf (479 KB)
アイテムタイプ 共通アイテムタイプ(1)
公開日 2025-01-21
タイトル
タイトル Criteria for detection of possible risk factors for mental health problems in undergraduate university students
言語 en
著者 武村, 紀子

× 武村, 紀子

WEKO 35569
e-Rad_Researcher 60733110
Scopus著者ID 23010851300
ORCiD 0000-0003-1977-4690
九工大研究者情報 100001540

ja 武村, 紀子

en Takemura, Noriko

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Takemura, Noriko

× Takemura, Noriko

en Takemura, Noriko

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Alizadeh, Mehrasa

× Alizadeh, Mehrasa

en Alizadeh, Mehrasa

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Higashino, Teruo

× Higashino, Teruo

en Higashino, Teruo

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Yagi, Yasushi

× Yagi, Yasushi

en Yagi, Yasushi

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Ikeda, Manabu

× Ikeda, Manabu

en Ikeda, Manabu

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著作権関連情報
権利情報Resource http://creativecommons.org/licenses/by/4.0/
権利情報 Copyright (c) 2023 Ishimaru, Adachi, Mizumoto, Erdelyi, Nagahara, Shirai, Takemura, Takemura, Alizadeh, Higashino, Yagi and Ikeda. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
抄録
内容記述タイプ Abstract
内容記述 Introduction: Developing approaches for early detection of possible risk clusters for mental health problems among undergraduate university students is warranted to reduce the duration of untreated illness (DUI). However, little is known about indicators of need for care by others. Herein, we aimed to clarify the specific value of study engagement and lifestyle habit variables in predicting potentially high-risk cluster of mental health problems among undergraduate university students.

Methods: This cross-sectional study used a web-based demographic questionnaire [the Utrecht Work Engagement Scale for Students (UWES-S-J)] as study engagement scale. Moreover, information regarding life habits such as sleep duration and meal frequency, along with mental health problems such as depression and fatigue were also collected. Students with both mental health problems were classified as high risk. Characteristics of students in the two groups were compared. Univariate logistic regression was performed to identify predictors of membership. Receiver Operating Characteristic (ROC) curve was used to clarify the specific values that differentiated the groups in terms of significant predictors in univariate logistic analysis. Cut-off point was calculated using Youden index. Statistical significance was set at p < 0.05.

Results: A total of 1,644 students were assessed, and 30.1% were classified as high-risk for mental health problems. Significant differences were found between the two groups in terms of sex, age, study engagement, weekday sleep duration, and meal frequency. In the ROC curve, students who had lower study engagement with UWES-S-J score < 37.5 points (sensitivity, 81.5%; specificity, 38.0%), <6 h sleep duration on weekdays (sensitivity, 82.0%; specificity, 24.0%), and < 2.5 times of meals per day (sensitivity, 73.3%; specificity, 35.8%), were more likely to be classified into the high-risk group for mental health problems.

Conclusion: Academic staff should detect students who meet these criteria at the earliest and provide mental health support to reduce DUI among undergraduate university students.
言語 en
書誌情報 en : Frontiers in Psychiatry

巻 14, 発行日 2023-06-29
出版社
出版者 Frontiers
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
識別子タイプ DOI
関連識別子 https://doi.org/10.3389/fpsyt.2023.1184156
ISSN
収録物識別子タイプ EISSN
収録物識別子 1664-0640
査読の有無
値 yes
研究者情報
URL https://hyokadb02.jimu.kyutech.ac.jp/html/100001540_ja.html
論文ID(連携)
値 10444560
連携ID
値 12686
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