scholarly journals Mental health burden for the public affected by the COVID-19 outbreak in China: Who will be the high-risk group?

2020 ◽  
Vol 26 (1) ◽  
pp. 23-34 ◽  
Author(s):  
Yeen Huang ◽  
Ning Zhao
Keyword(s):  
Mental Health ◽  
High Risk ◽  
Risk Group ◽  
High Risk Group ◽  
The Public ◽  
Health Burden

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 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.

The effect of the mental health improvement programs in firefighters

2017 ◽  
Vol 41 (S1) ◽  
pp. S357-S357
Author(s):  
T.Y. Choi ◽  
J. Kim ◽  
J. Lee ◽  
S. Chang ◽  
S. Jung
Keyword(s):  
Mental Health ◽  
High Risk ◽  
Psychiatric Symptoms ◽  
Risk Group ◽  
Multiple Logistic Regression Analysis ◽  
Traumatic Events ◽  
High Risk Group ◽  
Health Improvement ◽  
Improvement Program ◽  
Improvement Programs

ObjectivesThe purpose of this study was to investigate the effectiveness of the mental health improvement programs in Korean firefighters through cooperation with the urban fire station. And we assessed the firefighter's degree of traumatic events and psychopathologies including depression, anxiety, suicidal ideation and insomnia.MethodsA mental health improvement program was provided to 502 firefighters working at Daegu, Gumi and Ulsan during 8-week period. The program included not only an evaluation and treatment of psychiatric symptoms through counseling but also a psychoeducation for mental health awareness. The validated Questionnaires to measure psychiatric symptoms were used; symptoms included depression, anxiety, suicidal thoughts and insomnia. Subjects were divided to two groups; PTSD high-risk group and non-high risk group. Psychopathological levels were compared before and after the program.ResultsPTSD high-risk group included 57 subjects (11.35%) and non-high risk group included 445 subjects (88.65%). Before the program, PTSD high-risk group showed higher depression, anxiety, insomnia scores statistically significant. Multiple logistic regression analysis with PTSD high-risk group as a dependent variable showed depression as a factor for firefighters to become PTSD high-risk group compared to those not depressed. Insomnia turned out to be another variant. The program resulted in significant decrease total scores of BDI and ISI for PTSD high-risk group.ConclusionsThe results on this study showed that higher levels of depression and insomnia especially influenced the manifestation of PTSD in firefighters. The evaluation and management of psychopathologies including depression, insomnia with traumatic events for firefighters can be helpful.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Sign in / Sign up

Export Citation Format

Share Document