TY  - JOUR
PY  - 2023//
TI  - Criteria for detection of possible risk factors for mental health problems in undergraduate university students
JO  - Frontiers in psychiatry
A1  - Ishimaru, Daiki
A1  - Adachi, Hiroyoshi
A1  - Mizumoto, Teruhiro
A1  - Erdelyi, Viktor
A1  - Nagahara, Hajime
A1  - Shirai, Shizuka
A1  - Takemura, Haruo
A1  - Takemura, Noriko
A1  - Alizadeh, Mehrasa
A1  - Higashino, Teruo
A1  - Yagi, Yasushi
A1  - Ikeda, Manabu
SP  - e1184156
EP  - e1184156
VL  - 14
IS  - 
N2  - 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. <br><br>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. <br><br>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. <br><br>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.<p />  <p>Language: en</p>
LA  - en
SN  - 1664-0640
UR  - http://dx.doi.org/10.3389/fpsyt.2023.1184156
ID  - ref1
ER  -