Evidence map›Paper›PMID 31243030›Full record

ArticleBMJ open2019

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

Der-Yun Hsiung, Ching-Lun Tsai, Ling-Chun Chiang, Wei-Fen Ma

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Der-Yun HsiungDepartment of Public Health, China Medical University, Taichung, Taiwan.
Ching-Lun TsaiDepartment of Public Health, China Medical University, Taichung, Taiwan.
Ling-Chun ChiangDepartment of Nursing, HungKuang University, Taichung, Taiwan.
Wei-Fen MaSchool of Nursing, China Medical University, Taichung, Taiwan.
China Medical University · TWChina Medical University Hospital · TWHungkuang University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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<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.

conclusionFor 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.

Indexed as

AdultAnxietyCross-Sectional StudiesDepressionFactor Analysis, StatisticalFemaleHumansLanguageMaleMental DisordersPersonalityPsychiatric Status Rating ScalesPsychometricsReproducibility of ResultsSelf ReportStudents, Nursinghealth economicsmental healthpsychiatryrisk management

Identifiers

PMID31243030
PMCPMC6597654
OpenAlexW2953968533

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.