Screening nursing students to identify those at high risk of poor mental health: a cross-sectional survey

Autor: Der-Yun Hsiung, Ching-Lun Tsai, Ling-Chun Chiang, Wei-Fen Ma
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: BMJ Open, Vol 9, Iss 6 (2019)
Druh dokumentu: article
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2018-025912
Popis: ObjectivesThis study aimed to identify those at high risk of poor mental health among nursing students and to examine the relationships and consistency among five mental health assessments.DesignA cross-sectional design with purposive sampling was used. Four mental health screening tools plus previous mental health history/information were conducted during June 2015 to October 2016.SettingA nursing major university in Taiwan.ParticipantsA total of 2779 participants aged between 19 and 45 years were recruited.Main outcome measuresFive mental health risks were identified: increased risk for ultra-high risk, putative prepsychosis states, high trait anxiety, high state anxiety with genetic risk and depression.ResultsOut of the 3395 collected questionnaire, 2779 (82%) were found valid and included in the study. 612 (22%) of the participants were identified to be at mental health risk. 12 of them appeared positive in four, 79 in three, 148 in two and 373 in one of the adopted mental health screening tools. 69 participants had the experience of seeking medical help due to mental health issues, and 58% of them were identified to be at risk of mental health during the screening. Trait and state anxiety scored the highest in correlation analysis (r(2620)=0.76, p
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