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Screening nursing students to identify those at high risk of poor mental health: a cross-sectional survey
OBJECTIVES: This 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. DESIGN: A cross-sectional design with purposive sampling was used. Four mental health screening tools plus p...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6597654/ https://www.ncbi.nlm.nih.gov/pubmed/31243030 http://dx.doi.org/10.1136/bmjopen-2018-025912 |
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author | Hsiung, Der-Yun Tsai, Ching-Lun Chiang, Ling-Chun Ma, Wei-Fen |
author_facet | Hsiung, Der-Yun Tsai, Ching-Lun Chiang, Ling-Chun Ma, Wei-Fen |
author_sort | Hsiung, Der-Yun |
collection | PubMed |
description | OBJECTIVES: This 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. DESIGN: A 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. SETTING: A nursing major university in Taiwan. PARTICIPANTS: A total of 2779 participants aged between 19 and 45 years were recruited. MAIN OUTCOME MEASURES: Five 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. RESULTS: Out 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<0.001). Correlations were observed in the scores on the subscales of Chinese Version of Schizotypal Personality Questionnaire-Brief (CSPQ-B) and those of Brief self-report Questionnaire for Screening Putative Prepsychotic States (BQSPS), and the highest correlation coefficients was (r(2740)=0.70, p<0.001). Although both of the screening tools are used to assess mental illness risk at its prodromal phase, but CSPQ-B in general appeared to have more rigorous screening criteria than BQSPS. CONCLUSION: For expediting early identification high risk of poor mental health, easy-to-use screening questionnaires can be adopted to assess the mental health state of nursing students whose mental well-being and overall health are of vital importance to the entire healthcare industry. |
format | Online Article Text |
id | pubmed-6597654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-65976542019-07-18 Screening nursing students to identify those at high risk of poor mental health: a cross-sectional survey Hsiung, Der-Yun Tsai, Ching-Lun Chiang, Ling-Chun Ma, Wei-Fen BMJ Open Mental Health OBJECTIVES: This 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. DESIGN: A 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. SETTING: A nursing major university in Taiwan. PARTICIPANTS: A total of 2779 participants aged between 19 and 45 years were recruited. MAIN OUTCOME MEASURES: Five 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. RESULTS: Out 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<0.001). Correlations were observed in the scores on the subscales of Chinese Version of Schizotypal Personality Questionnaire-Brief (CSPQ-B) and those of Brief self-report Questionnaire for Screening Putative Prepsychotic States (BQSPS), and the highest correlation coefficients was (r(2740)=0.70, p<0.001). Although both of the screening tools are used to assess mental illness risk at its prodromal phase, but CSPQ-B in general appeared to have more rigorous screening criteria than BQSPS. CONCLUSION: For expediting early identification high risk of poor mental health, easy-to-use screening questionnaires can be adopted to assess the mental health state of nursing students whose mental well-being and overall health are of vital importance to the entire healthcare industry. BMJ Publishing Group 2019-06-25 /pmc/articles/PMC6597654/ /pubmed/31243030 http://dx.doi.org/10.1136/bmjopen-2018-025912 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Mental Health Hsiung, Der-Yun Tsai, Ching-Lun Chiang, Ling-Chun Ma, Wei-Fen Screening nursing students to identify those at high risk of poor mental health: a cross-sectional survey |
title | Screening nursing students to identify those at high risk of poor mental health: a cross-sectional survey |
title_full | Screening nursing students to identify those at high risk of poor mental health: a cross-sectional survey |
title_fullStr | Screening nursing students to identify those at high risk of poor mental health: a cross-sectional survey |
title_full_unstemmed | Screening nursing students to identify those at high risk of poor mental health: a cross-sectional survey |
title_short | Screening nursing students to identify those at high risk of poor mental health: a cross-sectional survey |
title_sort | screening nursing students to identify those at high risk of poor mental health: a cross-sectional survey |
topic | Mental Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6597654/ https://www.ncbi.nlm.nih.gov/pubmed/31243030 http://dx.doi.org/10.1136/bmjopen-2018-025912 |
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