Recommendations from male students help shape mental health support for this high-risk group

2020 ◽  
Keyword(s):  
Mental Health ◽  
High Risk ◽  
Risk Group ◽  
High Risk Group ◽  
Male Students ◽  
Mental Health Support ◽  
Health Support

Application of latent class analysis in assessing the mental health of medical students during the COVID-19 Epidemic (Preprint)

2020 ◽  
Author(s):  
Fei Wang
Keyword(s):  
Mental Health ◽  
Medical Students ◽  
High Risk ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Risk Group ◽  
Multinomial Logistic Regression ◽  
High Risk Group ◽  
Class Analysis ◽  
Related Factors

BACKGROUND The novel coronavirus disease 2019 (COVID-19) is a global public health emergency that has caused worldwide concern. The mental health of medical students under the COVID-19 epidemic has attracted much attention. OBJECTIVE This study aims to identify subgroups of medical students based on mental health status and explore the influencing factors during the COVID-19 epidemic in China. METHODS A total of 29,663 medical students were recruited during the epidemic of COVID-19 in China. Latent class analysis of the mental health of medical students was performed using M-plus software to identify subtypes of medical students. The latent class subtypes were compared using the chi-square test. Multinomial logistic regression was used to examine associations between identified classes and related factors. RESULTS In this study, three distinct subgroups were identified, namely, the high-risk group, the low-risk group and the normal group. Therefore, medical students can be divided into three latent classes, and the number of students in each class is 4325, 9321 and 16,017. The multinomial logistic regression results showed that compared with the normal group, the factors influencing mental health in the high-risk group were insomnia, perceived stress, family psychiatric disorders, fear of being infected, drinking, individual psychiatric disorders, sex, educational level and knowledge of COVID-19, according to the intensity of influence from high to low. CONCLUSIONS Our findings suggested that latent class analysis can be used to categorize different medical students according to their mental health subgroup during the outbreak of COVID-19. The main factors influencing the high-risk group and low-risk group are basic demographic characteristics, disease history, COVID-19 related factors and behavioral lifestyle, among which insomnia and perceived stress have the greatest impact. School administrative departments could utilize more specific measures on the basis of different subgroups, and provide targeted measures.

scholarly journals Fear of COVID-19 scale: Assessing fear of the coronavirus pandemic in Brazil

2020 ◽  
pp. 135910532098203
Author(s):  
Rubia Carla Formighieri Giordani ◽  
Milene Zanoni da Silva ◽  
Camila Muhl ◽  
Suely Ruiz Giolo
Keyword(s):  
Mental Health ◽  
Factor Analysis ◽  
High Risk ◽  
Online Survey ◽  
Risk Group ◽  
Positive Association ◽  
High Risk Group ◽  
Brazilian Population ◽  
Vulnerable Groups

This study aimed to assess the fear of COVID-19 in the Brazilian population, validate the FCV-19S and examine the association of its scores with sociodemographic and pandemic-related variables. A total of 7430 participants were recruited in an online survey. From the factor analysis results, FCV-19S proved to be suitable, indicating a higher level of fear for women and also for those aged 18–29 years. Besides, belonging to a high-risk group and having relatives diagnosed or deceased by COVID-19 showed a positive association with fear. These findings pointed out the most vulnerable groups, which can assist in planning mental health actions.

scholarly journals Application of Latent Class Analysis in Assessing the Mental Health of Medical Students During the COVID-19 Epidemic

2021 ◽  
Author(s):  
Zhuang Liu ◽  
Yue Zhang ◽  
Ran Zhang ◽  
Rongxun Liu ◽  
Lijuan Liang ◽  
...  
Keyword(s):  
Mental Health ◽  
Medical Students ◽  
High Risk ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Risk Group ◽  
Multinomial Logistic Regression ◽  
High Risk Group ◽  
Class Analysis ◽  
Related Factors

Abstract Background: The novel coronavirus disease 2019 (COVID-19) is a global public health emergency that has caused worldwide concern. The mental health of medical students under the COVID-19 epidemic has attracted much attention. This study aims to identify subgroups of medical students based on mental health status and explore the influencing factors during the COVID-19 epidemic in China. Methods: A total of 29,663 medical students were recruited during the epidemic of COVID-19 in China. Latent class analysis of the mental health of medical students was performed using M-plus software to identify subtypes of medical students. The latent class subtypes were compared using the chi-square test. Multinomial logistic regression was used to examine associations between identified classes and related factors. Results: In this study, three distinct subgroups were identified, namely, the high-risk group, the low-risk group and the normal group. Therefore, medical students can be divided into three latent classes, and the number of students in each class is 4325, 9321 and 16,017. The multinomial logistic regression results showed that compared with the normal group, the factors influencing mental health in the high-risk group were insomnia, perceived stress, family psychiatric disorders, fear of being infected, drinking, individual psychiatric disorders, sex, educational level and knowledge of COVID-19, according to the intensity of influence from high to low. Conclusions: Our findings suggested that latent class analysis can be used to categorize different medical students according to their mental health subgroup during the outbreak of COVID-19. The main factors influencing the high-risk group and low-risk group are basic demographic characteristics, disease history, COVID-19 related factors and behavioral lifestyle, among which insomnia and perceived stress have the greatest impact. School administrative departments could utilize more specific measures on the basis of different subgroups, and provide targeted measures.

scholarly journals Improving Mental Health Help-Seeking Amongst Male University Students: A Series of Gender-Sensitive Mental Health Pilot Interventions.

2021 ◽  
Author(s):  
Ilyas Sagar-Ouriaghli ◽  
Emma Godfrey ◽  
Vinay Tailor ◽  
June Brown
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Help Seeking ◽  
Social Space ◽  
Health Condition ◽  
Mental Health Status ◽  
Male Students ◽  
Increased Risk ◽  
Mental Health Support ◽  
Health Support

Abstract Background: Up to a third of students experience a common mental health condition which is associated with decreased academic functioning and an increased risk of dropping out. While the prevalence of common mental health difficulties is lower amongst male students, worryingly, they are twice as likely to die by suicide. The importance of developing interventions that are gender-sensitive for male students to improve their uptake of mental health initiatives has been recently emphasised. However, acceptable, feasible and effective methods for male students are unexplored. The current study conducted three gender-sensitive pilot interventions for male students to evaluate acceptability (including uptake), changes to help-seeking and mental health status.Methods:Three gender-sensitive interventions were delivered to 24 male students. The interventions consisted of: Intervention 1 – a formal mental health intervention targeting male students (“psycho-educational model”), Intervention 2 - a second formal intervention that adopted more gender-sensitive language and promoted positive masculine traits (“positive masculinity model”), and Intervention 3 - an informal drop-in offering a social space for male students to receive general health information and connect with other students (“informal drop-in Man Cave model”). These were evaluated for acceptability (including uptake), attitudes to help-seeking and mental health outcomes.Results:In terms of acceptability, Intervention 3 - the informal drop-in (Man Cave) appeared better at engaging male students who have greater conformity to maladaptive masculine traits, more negative attitudes to help-seeking, higher levels of self-stigma, who were less likely to have used mental health support before and belonged to an ethnic minority. No significant changes to help-seeking attitudes, behaviours, or mental health status were observed across the interventions at feasibility stage. All interventions were deemed equally acceptable with minimal opportunity costs and perceived burden. Conclusions:These findings indicate differences in acceptability, particularly uptake, for male students who may be seen as more difficult to engage. Using informal strategies may help reach male students who would otherwise not engage with mental health support, familiarise them with the idea of help-seeking, and connect them with pre-existing mental health interventions. While no differences in outcomes measured were found in these small studies, more work needs to be carried out using larger samples to investigate the efficacy of informal interventions to engage male students.

scholarly journals Police officers: a high-risk group for the development of mental health disturbances? A cohort study

BMJ Open ◽  
2013 ◽  
Vol 3 (1) ◽  
pp. e001720 ◽  
Author(s):  
Peter G van der Velden ◽  
Arthur R Rademaker ◽  
Eric Vermetten ◽  
Marie-Anne Portengen ◽  
Joris C Yzermans ◽  
...  
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
High Risk ◽  
Police Officers ◽  
Risk Group ◽  
High Risk Group

Depression screening in Surabaya Indonesia: Urgent need for better mental health care for high-risk communities and suicide prevention for men

2020 ◽  
pp. 002076402095735
Author(s):  
Margarita M Maramis ◽  
Jakobus Gerick Pantouw ◽  
Cokorda Bagus Jaya Lesmana
Keyword(s):  
Mental Health ◽  
High Risk ◽  
General Population ◽  
Suicide Prevention ◽  
Random Sampling ◽  
Risk Group ◽  
Educational Background ◽  
High Risk Group ◽  
Depression Screening ◽  
Depression Symptoms

Objectives: Despite its high prevalence and considerable burden, depression is not handled with the required urgency in Indonesia. Existing data from the government does not specifically note its prevalence and symptoms manifestation. This study screened depression in Surabaya, where the prevalence of mood disorder was reported to be higher than the national prevalence, in order to identify where action is most needed. Methods: Cross-sectional study with non-random sampling. Participants consisted of samples from general population categorised as non-high-risk group, and prisoners, sex workers and drug users categorised as high-risk group. Depression screening was done using MINI-ICD10 self-rated depression questionnaire. Correlation between screening results and demographic data was analysed using chi-square test. Results: Positive depression screening was significantly associated with grouping and educational background. High-risk group and participants with lower education background had significantly higher number of positive screening. Significantly higher proportion of participants in the high-risk group experience eight of the ten depression symptoms regardless of screening results. Higher proportion of depression positive male participants experienced suicidal/self-harm symptom. Limitations: This study used non-random sampling method, therefore the results may not fully represent the general population. The screening instrument used did not account for depression and symptoms severity. Conclusion: High-risk group with low educational background is in most urgent need of mental health help, and suicide prevention strategy is most needed for men.

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