scholarly journals Erratum to: Migration Stress, Poor Mental Health, and Engagement in Sex with High-Risk Partners: a Mediation Modeling Analysis of Data from Rural-to-Urban Migrants in China

2016 ◽  
Vol 14 (4) ◽  
pp. 478-478
Author(s):  
Bin Yu ◽  
Xinguang Chen ◽  
Yaqiong Yan ◽  
Jie Gong ◽  
Fang Li ◽  
...  
Keyword(s):  
Mental Health ◽  
High Risk ◽  
Poor Mental Health ◽  
Urban Migrants ◽  
Modeling Analysis ◽  
Migration Stress ◽  
Mediation Modeling

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

BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e025912 ◽  
Author(s):  
Der-Yun Hsiung ◽  
Ching-Lun Tsai ◽  
Ling-Chun Chiang ◽  
Wei-Fen Ma
Keyword(s):  
Mental Health ◽  
Nursing Students ◽  
High Risk ◽  
State Anxiety ◽  
Health Screening ◽  
Poor Mental Health ◽  
Mental Health Screening ◽  
Screening Tools ◽  
Cross Sectional ◽  
Increased Risk

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.

A Longitudinal Study of Mental Health in Emerging Adults

2014 ◽  
Vol 73 (3) ◽  
pp. 135-141 ◽  
Author(s):  
Monica S. Bachmann ◽  
Hansjörg Znoj ◽  
Katja Haemmerli
Keyword(s):  
Mental Health ◽  
Longitudinal Study ◽  
Emerging Adults ◽  
Poor Mental Health ◽  
Need Satisfaction ◽  
Computer Assisted ◽  
Consistency Model ◽  
Negative Effect ◽  
The Cross ◽  
Health Model

Emerging adulthood is a time of instability. This longitudinal study investigated the relationship between mental health and need satisfaction among emerging adults over a period of five years and focused on gender-specific differences. Two possible causal models were examined: (1) the mental health model, which predicts that incongruence is due to the presence of impaired mental health at an earlier point in time; (2) the consistency model, which predicts that impaired mental health is due to a higher level of incongruence reported at an earlier point in time. Emerging adults (N = 1,017) aged 18–24 completed computer-assisted telephone interviews in 2003 (T1), 2005 (T2), and 2008 (T3). The results indicate that better mental health at T1 predicts a lower level of incongruence two years later (T2), when prior level of incongruence is controlled for. The same cross-lagged effect is shown for T3. However, the cross-lagged paths from incongruence to mental health are marginally associated when prior mental health is controlled for. No gender differences were found in the cross-lagged model. The results support the mental health model and show that incongruence does not have a long-lasting negative effect on mental health. The results highlight the importance of identifying emerging adults with poor mental health early to provide support regarding need satisfaction.

Cross-sectional assessment of mental health and service disparities in a high-risk community.

2019 ◽  
Vol 5 (4) ◽  
pp. 365-373
Author(s):  
Brendan H. Pulsifer ◽  
Casey L. Evans ◽  
Leila Capel ◽  
Mary Lyons-Hunter ◽  
Julie A. Grieco
Keyword(s):  
Mental Health ◽  
High Risk ◽  
Cross Sectional
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