scholarly journals A study on mental health status among  the staff in  a  designated hospital for COVID- 19

2020 ◽  
Author(s):  
Bangfang Wang ◽  
Jianjun Sun ◽  
Feng Gao ◽  
Jun Chen ◽  
Lei Shi ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Logistic Regression ◽  
Health Status ◽  
Panic Disorder ◽  
Mental Health Problems ◽  
Severe Depression ◽  
Median Score ◽  
First Line ◽  
Line Staff

Abstract Background: We investigate the mental health status of all the staff members who worked for the designated hospital during the initial stage of COVID-19, so as to understand the severity of mental health problems, and analyze the risk factors.Methods: Through the patients health questionnaire-9(PHQ-9) and panic disorder severity scales(PDSS), we surveyed the status of depression and panic disorder of the staff who participated in the prevention and treatment of COVID-19 in designated hospital in the early stage of epidemic. The data is described by the number of cases (percentage), median and interquartile range. The chi square test was used for categorical variables and the rank sum test was used for continuous variables. The risk factors of severe depression or panic disorder were analyzed by binary logistic regression test.Results: Totally 702 questionnaires were sent out and 694(98.9%) was received and qualified, the median score of PHQ-9 among all the staff was 1 (IQR,0-4), 143(20.6%) of them had depression, 39 (5.6%) had serious depression; the median score of PDSS was 2 (IQR,0-5), 81 (11.7%) of them had panic disorder and 47(6.7%) of them had severe panic disorder; Among the people in different work lines, the first-line staff scored the highest: PHQ-9 score was 4 (0-8); PDSS score was 4 (1-9), which were significantly higher than the second-line and third-line staff (P<0.001). Multivariate logistic regression analysis showed that the adjusted risk of severe depression in first-line staff was 6.63 fold(P < 0.001); the risk of severe panic disorder was 2.62 fold (P=0.003) higher than that of non-first line group.Conclusions: Many staff in the designated hospital for COVID-19 have mental health problems. Among them, first-line workers are a high-risk group with severe depression and panic disorder, and further psychological intervention is needed for them.

scholarly journals Prevalence of Depressive Symptoms and Associated Psychosocial risk Factors among University Students: The Moderating and Mediating Effects of Resilience

2020 ◽  
Author(s):  
Cyrille Kossigan KOKOU KPOLOU ◽  
Askar Jumageldinov ◽  
Sunyoung Park ◽  
Nicolas Nieuviarts ◽  
Pari-Gole Noorishad ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Depressive Symptoms ◽  
University Students ◽  
Perceived Stress ◽  
Mental Health Problems ◽  
Severe Depression ◽  
Cumulative Effect ◽  
Mediation Analyses ◽  
Individual Resilience

<p><i>Background</i>: Previous studies have indicated that university students constitute a higher risk population for mental health problems, especially for depression. Yet, there appears to be a lack of literature addressing a such issues in France. The present study aimed to estimate the prevalence rates of depression, its sociodemographic correlates in French university students (FUS), and to examine whether individual resilience resources moderated and mediated the relationship between perceived stress and depressive symptoms. </p> <p><i>Methods</i>: The data were collected through web-based questionnaires. The sample included 1435 FUS with a mean age of 20.5 (<i>SD </i>= 3.38) years. Participants completed the Beck Depression Inventory (BDI-II), the Perceived Stress Scale, the Brief Resilience Scale, and a sociodemographic questionnaire. Descriptive, multiple logistic regression and mediation analyses were used. </p> <p><i>Results</i>: With respect to the BDI-II’s cutoff scores, 20.3% and 22.8% were positive to moderate and severe depression, respectively (43.1%). Gender and education attainment appeared as moderate risk factors when accounting for cumulative effect of perceived stress and individual resilience. Resilience was found to buffer and mediate partially the perceived stress–depression relationship. </p> <p><i>Conclusion</i>: The prevalence of depression was higher in FUS, as similar to those reported in</p> <p>previous studies. The amount of academic and daily stress explained this prevalence. University students with low resilience level were more at risk. Interventions with aim to improving resilience skills could help to mitigate the negative effects of stress and to promote mental health in this population.</p>

scholarly journals Mental Health Status Among Frontline Prison Police During The Prevention and Control of The COVID-19 Epidemic: A Cross-Sectional Survey From China

2021 ◽  
Author(s):  
Yong Tian ◽  
Tingyong Feng ◽  
Zhen Wen ◽  
Yipeng Yang ◽  
Jingting Huang
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Health Status ◽  
Prevention And Control ◽  
Mental Health Problems ◽  
Mental Health Status ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Prison Police ◽  
And Control

Abstract Background A global public health emergency triggered by the Coronavirus Disease 2019 (COVID-19) epidemic may have a remarkable psychological impact on the population. There is still limited psychological research on police officers, especially on prison police. The present study aims to identify prevalence and influencing factors on mental health status among frontline prison police in China during the prevention and control of the COVID-19 epidemic. Methods A cross-sectional survey with a sample of 981 frontline prison police was conducted by using snowball sampling approach. The self-administered questionnaire consisted of 4 parts: (i) informed consent form; (ii) socio-demographic section; (iii) work and life situations during the prevention and control of the COVID-19 epidemic; (iv) the Chinese version of the 12-item General Health Questionnaire (GHQ-12). Univariate analysis and multivariable logistic regression were performed to identify factors influencing mental health status. Results The prevalence of being prone to mental health problems (GHQ-12 score ≥ 4) was 33.43% among frontline prison police. The results of GHQ-12 factors analysis that the prison police suffered from psychological issues related to anxiety and depression, which main symptoms were unhappy and depressed, lost sleep over worry and constantly under strain. Multivariate logistic regression analysis revealed that male (OR = 1.573, 95% CI: 1.385–1.853), work in closed jail (OR = 2.203, 95% CI: 2.139–2.297), more night shifts (OR = 2.163, 95% CI: 2.031–2.317 ; OR = 2.749, 95% CI: 2.194–2.901), more smoking (OR = 1.100, 95% CI: 1.037–2.168), poor physical condition (OR = 1.947, 95% CI: 1.478–2.250), chronic or serious illness history (OR = 1.870, 95% CI: 1.314–2.660; OR = 2.214, 95% CI: 1.460–2.812) were risk factor for mental health among frontline prison police, while regular diet (OR = 0.779, 95% CI: 0.539–0.928), more physical exercise (OR = 0.702, 95% CI: 0.548–0.899; OR = 0.641, 95% CI: 0.316–0.887), more communication with family members (OR = 0.437, 95% CI: 0.295–0.616) were protective factor. Conclusion The frontline prison police exhibited a high tendency toward mental health problems during the prevention and control of this epidemic. Therefore, continued surveillance of psychological problems and targeted mental health care for frontline prison police were urgently.

scholarly journals Prevalence And Predictors Of Mental Health Problems Among An Elderly Population Of Pakistan

2015 ◽  
Vol 1 (1) ◽  
pp. 1-17
Author(s):  
Aaqib Shahzad Alvi ◽  
Sarah Safdar
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Elderly Population ◽  
Mental Health Problems ◽  
Health Problems ◽  
Financial Dependency ◽  
Self Reporting Questionnaire

The aim of the present study was to explore the prevalence and predictors of mental health problems among elderly. Self Reporting Questionnaire (SRQ-20) was used as tool of data collection from 624 elderly aged 60+ using multistage sampling technique. Logistic regression analysis was performed to identify factors associated with mental health problems. Results indicated a pervasive prevalence of mental health problems among elderly in Central Punjab. Logistic regression analysis reported that various independent factors, including financial dependency, educational status, undesirable events of life, undermining the sense of control, elderly abuse, feelings of discomfort at home, behavior of family, age and gender of elderly were significantly linked with mental health problems of Pakistani elderly population. These notably linked variables were instigated as the major risk factors of mental health problems. These findings also pointed out that the respondents who were monetarily dependent and did not have any source for familial support were two times more likely to report mental health problems than those who had finances. It means that the financial dependency dominates other risk factors.  

scholarly journals Prevalence of Depressive Symptoms and Associated Psychosocial risk Factors among University Students: The Moderating and Mediating Effects of Resilience

2020 ◽  
Author(s):  
Cyrille Kossigan KOKOU KPOLOU ◽  
Askar Jumageldinov ◽  
Sunyoung Park ◽  
Nicolas Nieuviarts ◽  
Pari-Gole Noorishad ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Depressive Symptoms ◽  
University Students ◽  
Perceived Stress ◽  
Mental Health Problems ◽  
Severe Depression ◽  
Cumulative Effect ◽  
Mediation Analyses ◽  
Individual Resilience

<p><i>Background</i>: Previous studies have indicated that university students constitute a higher risk population for mental health problems, especially for depression. Yet, there appears to be a lack of literature addressing a such issues in France. The present study aimed to estimate the prevalence rates of depression, its sociodemographic correlates in French university students (FUS), and to examine whether individual resilience resources moderated and mediated the relationship between perceived stress and depressive symptoms. </p> <p><i>Methods</i>: The data were collected through web-based questionnaires. The sample included 1435 FUS with a mean age of 20.5 (<i>SD </i>= 3.38) years. Participants completed the Beck Depression Inventory (BDI-II), the Perceived Stress Scale, the Brief Resilience Scale, and a sociodemographic questionnaire. Descriptive, multiple logistic regression and mediation analyses were used. </p> <p><i>Results</i>: With respect to the BDI-II’s cutoff scores, 20.3% and 22.8% were positive to moderate and severe depression, respectively (43.1%). Gender and education attainment appeared as moderate risk factors when accounting for cumulative effect of perceived stress and individual resilience. Resilience was found to buffer and mediate partially the perceived stress–depression relationship. </p> <p><i>Conclusion</i>: The prevalence of depression was higher in FUS, as similar to those reported in</p> <p>previous studies. The amount of academic and daily stress explained this prevalence. University students with low resilience level were more at risk. Interventions with aim to improving resilience skills could help to mitigate the negative effects of stress and to promote mental health in this population.</p>

Association between Criminological Risk Factors and Mental Health Problems among Urban Jail Inmates

2013 ◽  
Author(s):  
Ernie Gonzalez ◽  
Jorge G. Varela ◽  
Erika J. Canales ◽  
Alexandra Tellez ◽  
Amy B. Percosky
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Mental Health Problems ◽  
Health Problems ◽  
Jail Inmates

Loneliness, social isolation and cardiovascular risk

2019 ◽  
Vol 14 (10) ◽  
pp. 1-8 ◽  
Author(s):  
Jackson Alun ◽  
Barbara Murphy
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Social Isolation ◽  
Mental Health Problems ◽  
Cognitive Disorders ◽  
Premature Death ◽  
Physical And Mental Health ◽  
Cardiac Events ◽  
Patients At Risk ◽  
Traditional Risk Factors

Loneliness and social isolation are increasingly being acknowledged as risk factors for both physical and mental health problems. Recent statistics demonstrate that loneliness and isolation are on the rise internationally, to the point of being classed as an epidemic. In this paper, the authors outline some of the recent research linking loneliness and isolation to significant chronic diseases such as cardiovascular disease and type II diabetes; mental health disorders such as anxiety and depression; cognitive disorders and dementia. Isolation has also been shown to compromise recovery after acute cardiac events, being associated with increased hospital readmission and premature death. Indeed, isolation has now been identified as a risk factor equivalent in effect to traditional risk factors such as smoking, hypertension and obesity. While distinguishing between objective and subjective indicators of isolation, the authors highlight the complexity of this phenomenon, both in terms of definition and measurement, as well as the interplay between subjective and objective indicators. Important clinical implications for health professionals working with cardiac patients are also proposed, in terms of screening for isolation, and possible interventions to support patients at risk of isolation. The aim of the current article is to emphasise the importance of acknowledging loneliness and isolation as key risk factors requiring urgent attention, both in research and in clinical practice.

scholarly journals Dual impacts of coronavirus anxiety on mental health in 35 societies

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sylvia Xiaohua Chen ◽  
Jacky C. K. Ng ◽  
Bryant P. H. Hui ◽  
Algae K. Y. Au ◽  
Wesley C. H. Wu ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Severe Depression ◽  
Psychological Adaptation ◽  
Well Being ◽  
Subjective Health ◽  
Depression Symptoms ◽  
Subjective Well Being ◽  
Emotional Symptoms ◽  
Perceived Vulnerability

AbstractThe spread of coronavirus disease 2019 (COVID-19) has affected both physical health and mental well-being around the world. Stress-related reactions, if prolonged, may result in mental health problems. We examined the consequences of the COVID-19 pandemic on mental health in a multinational study and explored the effects of government responses to the outbreak. We sampled 18,171 community adults from 35 countries/societies, stratified by age, gender, and region of residence. Across the 35 societies, 26.6% of participants reported moderate to extremely severe depression symptoms, 28.2% moderate to extremely severe anxiety symptoms, and 18.3% moderate to extremely severe stress symptoms. Coronavirus anxiety comprises two factors, namely Perceived Vulnerability and Threat Response. After controlling for age, gender, and education level, perceived vulnerability predicted higher levels of negative emotional symptoms and psychological distress, whereas threat response predicted higher levels of self-rated health and subjective well-being. People in societies with more stringent control policies had more threat response and reported better subjective health. Coronavirus anxiety exerts detrimental effects on subjective health and well-being, but also has the adaptive function in mobilizing safety behaviors, providing support for an evolutionary perspective on psychological adaptation.

scholarly journals Predictors of persistent maternal depression trajectories in early childhood: results from the EDEN mother–child cohort study in France

2015 ◽  
Vol 45 (9) ◽  
pp. 1999-2012 ◽  
Author(s):  
J. van der Waerden ◽  
C. Galéra ◽  
M.-J. Saurel-Cubizolles ◽  
A.-L. Sutter-Dallay ◽  
M. Melchior ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Cohort Study ◽  
Depressive Symptoms ◽  
Maternal Depression ◽  
Mental Health Problems ◽  
Birth Cohort Study ◽  
Preschool Period ◽  
Persistent Depression ◽  
Associated Risk Factors

BackgroundMaternal depression in the pre- and postpartum period may set women on a course of chronic depressive symptoms. Little is known about predictors of persistently elevated depressive symptoms in mothers from pregnancy onwards. The aims of this study are to determine maternal depression trajectories from pregnancy to the child's fifth birthday and identify associated risk factors.MethodMothers (N = 1807) from the EDEN mother–child birth cohort study based in France (2003–2011) were followed from 24–28 weeks of pregnancy to their child's fifth birthday. Maternal depression trajectories were determined with a semi-parametric group-based modelling strategy. Sociodemographic, psychosocial and psychiatric predictors were explored for their association with trajectory class membership.ResultsFive trajectories of maternal symptoms of depression from pregnancy onwards were identified: no symptoms (60.2%); persistent intermediate-level depressive symptoms (25.2%); persistent high depressive symptoms (5.0%); high symptoms in pregnancy only (4.7%); high symptoms in the child's preschool period only (4.9%).Socio-demographic predictorsassociated with persistent depression were non-French origin;psychosocial predictorswere childhood adversities, life events during pregnancy and work overinvestment;psychiatric predictorswere previous mental health problems, psychological help, and high anxiety during pregnancy.ConclusionsPersistent depression in mothers of young children is associated to several risk factors present prior to or during pregnancy, notably anxiety. These characteristics precede depression trajectories and offer a possible entry point to enhance mother's mental health and reduce its burden on children.

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