Predictors Of Mental Health Problems Research Articles

The Long-Term Effect of Early-Life Uncertainty on Mental Health in Adolescence and Adulthood: A Meta-Analysis.

Turbulent changes in early life are a hidden source of childhood trauma, increasing potential risks for mental illness. Many studies have identified the link between childhood uncertainty and mental health. However, research on the long-term effect of early-life uncertainty (EU) on mental health has not been systematically synthesized. This meta-analysis aims to provide a quantitative estimate of the association between EU and subsequent mental health outcomes. Eight electronic databases and gray literature were searched. Twenty-eight studies met our inclusion criteria: samples of non-clinical adolescents or adults and clear and valid assessments. Random-effect models were used to calculate the pooled effect sizes of EU on internalizing problems, externalizing problems, and well-being. Meta-regression and subgroup analysis were used to explore potential moderators. Results indicated small to moderate associations involving EU and internalizing problem (r = .28; 95% confidence interval [CI] [0.228, 0.326]) and externalizing problem (r = .16; 95% CI [0.102, 0.220]). EU was not significantly associated with well-being (r = -.41; 95% CI [-0.738, 0.071]). Furthermore, moderator analyses found that composite uncertain experiences in childhood had a stronger negative effect than single experiences. EU was a stronger predictor of mental health problems in adults than in adolescents. Cross-sectional studies would amplify the correlation between EU and mental illness compared to longitudinal studies. In the future, childhood uncertain and unpredictable risks should receive more attention. More research needs to focus on positive psychological indicators and samples from non-Western countries.

Na mesma tempestade, mas em barcos diferentes: a determinação social da saúde mental na COVID-19

Abstract Objective The social and health scenario of the pandemic caused by COVID-19 had an impact on the mental health of the population, characterized by strong health inequities. Faced with this problem, this study aimed to analyze the predictor variables of mental health in Brazilians during the pandemic, identifying the most vulnerable groups. Method An online survey was carried out, with a non-probabilistic sample of 1.397 Brazilians, who answered a biodemographic and general health questionnaire, analyzed using descriptive and analytical statistics. Results It was identified that being female, non-heterosexual, unemployed, with low income, and history of mental health comorbidities are predictors of mental health problems. In addition to these, the sample comparisons revealed other groups with greater susceptibility: single and divorced, without religion, with history of COVID-19, maintaining social distancing, and bereaved. Conclusion There are groups with greater vulnerability to mental health problems, requiring health policies for prevention and health promotion that are appropriate for different social groups.

Knowledge and Attitude Towards COVID-19 and Associated Mental Health Status among Students of Sultan Qaboos University, Oman

This study examined the COVID-19-related knowledge and attitude towards COVID-19 and associated mental health status during COVID-19 among the students of Sultan Qaboos University in Oman using an online cross-sectional survey conducted from 26 March - 25 April 2021 among the students of Sultan Qaboos University (SQU). Both descriptive and inferential statistical techniques, including multiple logistic regression analysis, were used for data analysis. Of the 1,951 respondents, 60% were females with a mean age of 22 years. About 13% were tested COVID-19 positive and 3.6% were tested positive. Overall, students demonstrated a high level (81%) of knowledge and a positive attitude (83%) towards COVID-19. Knowledge appeared as a significant predictor of positive attitude. Despite the high level of knowledge and positive attitudes, there prevails some misconceptions or stigma to a group of students as about one-third of the students opined COVID-19 was a natural catastrophe and 13% of students were in favor of keeping it secrete if infected. The study documented a high prevalence of mild to severe levels of depression (66.3%), anxiety (69.2%), and stress (71%) among the students. Younger age, female, undergraduate students, single marital status, college of study, and good knowledge about COVID-19 appeared as significant predictors of mental health problems among the students. For improving the mental health and well-being of the students, the SQU authority should provide feasible psychological support to the students, with particular attention to the identified sub-group of students. Efforts should be made to remove the COVID-19-related stigma through mass-media campaigns.

Predictors of mental health problems during the COVID-19 outbreak in Egypt in 2021.

With the widespread outbreak of the coronavirus (COVID-19) pandemic, many countries, including Egypt, have tried to restrict the virus by applying social distancing and precautionary measures. Understanding the impact of COVID-19-induced risks and social distancing measures on individuals' mental health will help mitigate the negative effects of crises by developing appropriate mental health services. This study aimed to investigate the most contributing factors that affected individuals' mental health and how individuals' mental health has changed over the lockdown period in Egypt in 2021. The study draws on a nationally representative sample from the combined COVID-19 MENA Monitor Household Survey conducted by the Economic Research Forum. The data were collected in Egypt by phone over two waves in February 2021 and June 2021. The total number of respondents is 4,007 individuals. The target population is mobile phone owners aged 18-64 years. The 5-item World Health Organization Well-Being Index (WHO-5) is used to assess the individuals' mental health over the past 2 weeks during the pandemic. Penalized models (ridge and LASSO regressions) are used to identify the key drivers of mental health status during the COVID-19 pandemic. The mean value of mental health (MH) scores is 10.06 (95% CI: 9.90-10.23). The average MH score for men was significantly higher than for women by 0.87. Rural residents also had significantly higher MH scores than their urban counterparts (10.25 vs. 9.85). Middle-aged adults, the unemployed, and respondents in low-income households experienced the lowest MH scores (9.83, 9.29, and 9.23, respectively). Individuals' mental health has deteriorated due to the negative impacts of the COVID-19 pandemic. Regression analysis demonstrated that experiencing food insecurity and a decrease in household income were independent influencing factors for individuals' mental health (p < 0.001). Furthermore, anxiety about economic status and worrying about contracting the virus had greater negative impacts on mental health scores (p < 0.001). In addition, women, middle-aged adults, urban residents, and those belonging to low-income households were at increased risk of poor mental health (p < 0.05). The findings reveal the importance of providing mental health services to support these vulnerable groups during crises and activating social protection policies to protect their food security, incomes, and livelihoods. A gendered policy response to the pandemic is also required to address the mental pressures incurred by women.

28 Cognitive, Emotional, and Interactional Determinants in Loneliness, in a Heterogeneous Sample of Puerto Ricans with ABI in the Chronic Phase

Objective:An acquired brain injury (ABI) is a neurological pathology that generates a physical injury in the brain. These include cerebrovascular accidents (CVA) and traumatic brain injuries (TBI). Brain injuries can cause cognitive, emotional, and social problems, which have the potential to severely alter a person’s independence and quality of life. Loneliness, thesubjective experience of social isolation, has been shown to be the best predictor of mental health problems and poorquality of life in patients with ABI. This study aimed to explore the relationship between cognitive, emotional, and social determinants and loneliness in Puerto Ricans with ABI in the chronic phase.Participants and Methods:Cross-sectional, exploratory, and correlational methods were implemented. Assessments included the Frontal Systems Behavioral Scale - Spanish version (FrSBe-SP), Perth Emotional Reactivity Scale -Spanish version (PERS), Anticipated Stigma and Concealment (ASC), and the University of California Los Angeles - Loneliness Scale (UCLA-LS).Results:A total of seventeen participated (n=17). Twenty-nine percent of participants were female. Forty-seven percent had history of previous CVA and fifty-two percent had history of TBI. Correlational analyses suggest a positive and significant relationship between executive dysfunction (FrSBe-SP) and feelings of loneliness (UCLA-LS) (p=.601), as well as a positive and significant relationship between neuroticism-negative emotional reactivity (PERS) and feelings of loneliness (UCLA-LS) (p=.736). Correlational analysis suggests there is no significant relationship between anticipated stigma (ASC) and feelings of loneliness (UCLA-LS) (p=.282).Conclusions:Our findings suggest that there is a significant relationship between cognitive determinants (executive functions) and emotional determinants (neuroticism) with feelings of loneliness in people with a history of ABI. These results support the connection between executive dysfunction, the tendency to experience negative emotions, and the subjective experience of loneliness, consistent with previous studies. However, our study did not find any significant relationship between interactional determinants, such as stigma and concealment, and loneliness. Understanding the role of cognition, emotions, and social variables in reported feelings of loneliness is important for clinical neuropsychological assessment and rehabilitation interventions.

Prevalence and determinants of anxiety, depression and comorbid anxiety-depression symptoms among adolescents in Ebola-affected zones.

Ebola virus disease (EVD) has been shown to be associated with poor mental health in affected zones. However, no study has yet explored its impact on adolescents' mental health. This study aimed to assess the prevalence and risk factors associated with depression and anxiety symptoms among adolescents in EVD-affected areas in the Equateur Province of the Democratic Republic of the Congo during the COVID-19 pandemic. A provincial sample of adolescents aged 12-17 years (M = 14.84, s.d. = 1.49) living in the 18 urban and rural areas affected by the 2018 EVD outbreak completed a two-wave longitudinal survey. Surveys assessed symptoms of depression and anxiety, exposure to Ebola, social support and sociodemographic information. A total of 490 participants completed the baseline and follow-up surveys, 50% of whom were female. Elevated and worsened depressive symptoms were observed among participants from the baseline (56.94%) to the follow-up (91.43%; z = -11.37, P < 0.001), whereas anxiety symptoms decreased from the baseline (36.33%) to follow-up (24.90%; z = 4.06, P < 0.001). The final generalised estimating equation model showed that anxiety symptoms decreased over time (B = -3.92, P < 0.001), while depression symptoms increased (B = 4.79, P < 0.001). Stigmatisation related to Ebola positively predicted anxiety (B = 5.41, P < 0.001) and depression symptoms (B = 0.4452, P = 0.009). Social support negatively predicted anxiety (B = -1.13, P = 0.004) and depression (B = -0.98, P < 0.001) symptoms but only moderated the association between stigmatisation and depression symptoms (B = -0.67, P < 0.001). Most adolescents living in EVD-affected areas experience mental health issues. Stigmatisation related to EVD and living in urban areas are the most consistent predictors of mental health problems. Nevertheless, social support remains a protective factor for depression and anxiety symptoms and a necessary resource for building resilience.

Towards a New Dynamic Interaction Model of Adolescent CUD Manifestation, Prevention, and Treatment: A Narrative Review

Background: Cannabis is one of the most popular drugs of the 21st century, especially among adolescents and young adults. Evidence of a variety of lasting neuropsychological deficits as a result of chronic cannabis use has increased. Furthermore, regular cannabis use is found to be a predictor of mental health problems, less motivation in school, and school dropout. Aim: Our goal is to propose a theoretical model of adolescent cannabis use disorder (CUD) based on Zinberg’s drug, set, and setting model and explicated by a review of the literature on adolescent cannabis use to improve the prevention and treatment of CUD for adolescents. Methods: PubMed and Web of Science were searched for relevant publications as part of a hypothesis-based and model-generating review. Results: Individual (set) and environmental (setting) risk factors play important roles in the development of CUD in adolescents. School performance, motivation, and attendance can be negatively influenced by persistent cannabis use patterns and adolescent brain development can consequently be impaired. Thus, cannabis use can be understood as both being the cause of poor school performance but also the consequence of poor school performance. To prevent and reduce adolescent CUD the drug, set, and setting must all be considered. It is important to notice that the multiple feedback loops (indicated in our dynamic interaction model) are not mutually exclusive, but offer important intervention focus points for social workers, addiction professionals, parents, and other care takers. Conclusion: We argue that the three dimensions of drug, set, and setting contribute significantly to the eventual manifestation of CUD. Based on our dynamic interaction model, recommendations are made for possible preventive and therapeutic interventions for the treatment of adolescents and young adults with CUD.

Mental health and its determinants among adolescents living in families with separated or divorced parents in an urban area of Vietnam.

We assessed the prevalence of stress, anxiety, and depression among adolescents living in families with separated or divorced parents in Hue City, Vietnam and identified factors associated with these conditions. This cross-sectional study enrolled 309 adolescents, aged 12 to 17 years, living in families with separated or divorced parents in Hue City, Vietnam. The depression anxiety stress scale-21 (DASS-21) was used to measure stress, anxiety, and depression. Predictors of overall and individual mental health problems were identified using ordered and binary logistic regression, respectively. The DASS-21 scale revealed a 49.2% prevalence of stress, while anxiety and depression had s prevalence rates of 61.5%. Among participants, 42.4% experienced all 3 mental health issues. Several factors were identified as significant predictors of mental health problems, including poor to average economic status (adjusted odds ratio [aOR], 2.00; 95% confidence interval [CI], 1.21-3.31; p=0.007); being in high school (aOR, 5.02; 95% CI, 2.93-8.60; p<0.001); maternal occupation of teacher, healthcare professional, or official (aOR, 2.39; 95% CI, 1.13-5.03; p=0.022); longer duration of family separation or divorce (aOR, 1.24; 95% CI, 1.05-1.45; p=0.009); living with one's mother (aOR, 1.69; 95% CI, 1.03-2.76; p=0.04); alcohol consumption (aOR, 1.70; 95% CI, 0.99-2.92; p=0.050); and being bullied (aOR, 5.33; 95% CI, 1.10-25.69; p=0.037). Most of these factors were associated with stress, anxiety, and depression. Additionally, smoking was associated with stress. Adolescents with separated or divorced parents were at increased risk of stress, anxiety, and depression. The findings of this study provide important implications for prevention programs.

Predicting COVID-19 exposure risk perception using machine learning

BackgroundSelf-perceived exposure risk determines the likelihood of COVID-19 preventive measure compliance to a large extent and is among the most important predictors of mental health problems. Therefore, there is a need to systematically identify important predictors of such risks. This study aims to provide insight into forecasting and understanding risk perceptions and help to adjust interventions that target various social groups in different pandemic phases.MethodsThis study was based on survey data collected from 5001 Norwegians in 2020 and 2021. Interpretable machine learning algorithms were used to predict perceived exposure risks. To detect the most important predictors, the models with best performance were chosen based on predictive errors and explained variances. Shapley additive values were used to examine individual heterogeneities, interpret feature impact and check interactions between the key predictors.ResultsGradient boosting machine exhibited the best model performance in this study (2020: RMSE=.93, MAE=.74, RSQ=.22; 2021: RMSE=.99, MAE=.77, RSQ=.12). The most influential predictors of perceived exposure risk were compliance with interventions, work-life conflict, age and gender. In 2020, work and occupation played a dominant role in predicting perceived risks whereas, in 2021, living and behavioural factors were among the most important predictors. Findings show large individual heterogeneities in feature importance based on people’s sociodemographic backgrounds, work and living situations.ConclusionThe findings provide insight into forecasting risk groups and contribute to the early detection of vulnerable people during the pandemic. This is useful for policymakers and stakeholders in developing timely interventions targeting different social groups. Future policies and interventions should be adapted to the needs of people with various life situations.

Prevalence of common mental health problems and associated factors among university students visiting Supara mental health service: A cross-sectional study

Background: Early studies found that the mental health problems rate was relatively high in university students. We aimed to investigate the prevalence of mental problems and associated factors in university students. Methods: We conducted a cross-sectional descriptive study at Supara mental health service in the Faculty of Medicine Vajira Hospital between February 2020 to June 2021. The primary outcome was the prevalence of psychiatric diagnosis according to the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). The secondary assessments included the Patient Health Questionnaire-9 (PHQ-9), 8 items from the Mini International Neuropsychiatric Interview (MINI) to assess suicidal risk (8Q), and the Thai Mental Health Indicator (TMHI-15). The prevalence of mental health problems was presented by frequency and percentage. In addition, multivariable regression analysis was used to identify potential predictors of mental health problems. Results: A total of 184 participants (62% female; mean age = 22.49 years (SD 3.93) were recruited. The depressive disorders, adjustment disorders, and anxiety disorders rates were 57.1%, 15.2% and 13.6%, respectively. Grade point averages (GPAs) below 3.0 (OR=3.09, 95%CI: 1.17-8.14) and a family history of mental disorder (OR=3.40, 95%CI: 1.10-10.48) were significant associated factors of moderate to severe mental health problems. Detecting and screening these factors may help the university to provide early detection and treatment for students. Conclusions: Depressive disorders were the most common mental health disorders. Females, low GPAs and a family history of mental disorder were predictors of moderate to severe mental health problems.

Prevalence of common mental health problems and associated factors among university students visiting Supara mental health service: A cross-sectional study.

Background: Early studies found that the mental health problems rate was relatively high in university students. We aimed to investigate the prevalence of mental problems and associated factors in university students. Methods: We conducted a cross-sectional descriptive study at Supara mental health service in the Faculty of Medicine Vajira Hospital between February 2020 to June 2021. The primary outcome was the prevalence of psychiatric diagnosis according to the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). The secondary assessments included the Patient Health Questionnaire-9 (PHQ-9), 8 items from the Mini International Neuropsychiatric Interview (MINI) to assess suicidal risk (8Q), and the Thai Mental Health Indicator (TMHI-15). The prevalence of mental health problems was presented by frequency and percentage. In addition, multivariable regression analysis was used to identify potential predictors of mental health problems. Results: A total of 184 participants (62% female; mean age = 22.49 years (SD 3.93) were recruited. The depressive disorders, adjustment disorders, and anxiety disorders rates were 57.1%, 15.2% and 13.6%, respectively. Grade point averages (GPAs) below 3.0 (OR=3.09, 95%CI: 1.17-8.14) and a family history of mental disorder (OR=3.40, 95%CI: 1.10-10.48) were significant associated factors of moderate to severe mental health problems. Detecting and screening these factors may help the university to provide early detection and treatment for students. Conclusions: Depressive disorders were the most common mental health disorders. Females, low GPAs and a family history of mental disorder were predictors of moderate to severe mental health problems.

Prevalence and predictors of mental health problems in refugee children living in informal settlements in Lebanon

Millions of people are currently displaced. About half of them are children who are at increased risk of mental health problems. While some risk factors such as war exposure are well established, less is known regarding the effects of the local refugee environment. Here we show that the prevalence and comorbidity of mental health problems in Syrian refugee children living in settlements in Lebanon are high. We assessed individual, familial and social factors in a prospective cohort study (N = 1,591 child–caregiver dyads interviewed between October 2017 and January 2018; n = 1,000 interviewed at 1 yr follow-up). Of these children, 39.6% met the criteria for post-traumatic stress disorder, 26.9% for conduct/oppositional defiant disorder, 20.1% for depression and 47.8% for anxiety disorders. Exposure to daily stressors was the factor most strongly associated with children’s mental health problems. Interventions and policies addressing ongoing daily stressors are as important as scaling up mental health services for refugee families.

Family Background Issues as Predictors of Mental Health Problems for University Students.

Mental health problems are common among university students. Specific type of family background is one of the important factors contributing to these problems. This study aimed to evaluate the proportion of severe mental health problems and the associations between severity and types of problems and family backgrounds. This was a cross-sectional descriptive study. We reviewed the database and medical records of 125 university students aged over 18 years who attended the mental health consultation clinic for university students, 123 Primary Care Unit, Khon Kaen University, between 1 January and 31 December 2018. The characteristics of the participants were summarized using descriptive statistics. We performed an analysis using logistic regression to obtain the crude and adjusted odds ratio. The proportion of severe mental health problems was 50.4%. The most common problem was learning problems (54.4%). The severity of the problems reported by the students was associated with communication failure in the family (AOR = 3.30 [95% CI: 1.14-9.52], p = 0.027). All students who experienced domestic violence in their family had severe mental health problems. This study re-appraised the utility of the context of the family as a predictor of current problems of university students.

Predictors and prevalence of stress, anxiety, depression, and PTSD among university students during the second wave of the COVID-19 pandemic in Turkey.

This study aimed to find the prevalence of stress, anxiety, depression, and PTSD; differences according to demographic variables; and predictors of mental health problems during the second wave of the coronavirus disease (COVID-19) pandemic in Turkey. Differences in exposure to COVID-19 during the first and second waves of the pandemic among students were compared. A total of 754 students from seven universities in different parts of Turkey participated in the survey between November and December 2020. Perceived Stress Scale (PSS-10), Generalized Anxiety Disorder (GAD-7), Patient Health Questionnaire (PHQ-9), Checklist-Civilian Version (PCL-C) scale measuring posttraumatic stress disorder (PTSD), and Satisfaction with Life Scale (SWLS) were used to measure the mental well-being of students. Descriptive statistics, one-way ANOVA, correlations, and multinomial logistic regression methods were used to analyze the data. The prevalence of high stress, high generalized anxiety (GAD-7 ≥ 10), high depression symptoms (PHQ-9 ≥ 10), and high PTSD in the total sample were 84.2, 36.2, 55.0, and 61.2%, respectively. High perceived stress, moderate generalized anxiety disorder, mild depression symptoms, high severity PTSD, and moderate satisfaction were found among students in Turkey. Religiosity and spirituality have significant negative correlations with anxiety, depression, and PTSD. Religiosity level, gender, relationship status, year of study, physical activity, symptoms of coronavirus, death of a close relative, job loss, and economic status are significant parameters for predicting psychological problems of students in Turkey.

Mental health status of early married girls during the COVID-19 pandemic: A study in the southwestern region of Bangladesh.

Due to unemployment, the prolonged lockdown during the COVID-19 pandemic caused panic and deepened poverty, especially among lower-class and marginal people. The related financial crises led to harmful practices such as the early marriage of adolescent girls, which deteriorated these girl's mental state. This study attempted to assess the prevalence of mental health problems among early married girls and determine the associated predictors of the growing mental health burden. This cross-sectional survey was conducted during the third wave of the COVID-19 pandemic in Dumuria Upazila in the Khulna district of Bangladesh. Data were collected purposively from 304 girls who were married off during the COVID-19 pandemic, this was carried out between 22 July and 31 August 2022 by administering a semi-structured interview schedule, with mental health measured by the depression, anxiety, and stress scale 21 (DASS 21). The data were analyzed using IBM SPSS Statistics (version 25), and multiple linear regression was executed in order to predict mental health problems among early married girls. The findings show that the overall prevalence of depression, anxiety, and stress among early married girls during the COVID-19 pandemic in Bangladesh was 60.9% (95% CI: 0.554-0.663), 74.7% (95% CI: 0.698-0.796), and 23.7% (95% CI: 0.189-0.285). The prevalence was relatively higher among girls from the Sanatan (Hindu) religion and younger girls than among Muslim and older girls, respectively. The multiple linear regressions indicate that age, age at marriage, duration of the marriage, spousal occupation, intimate partner violence (IPV), and subjective happiness were the critical predictors of mental health problems among early married girls. Early marriage, along with various adverse outcomes, i.e., IPV, maladjustment, and poor subjective happiness, has resulted in heightened mental health problems for young girls. Policymakers should implement coercive measures to prevent early marriage, especially during social, economic, political, and health crises; in addition, more research is recommended in order to explore the mechanisms that make early married girls psychologically vulnerable and thus formulate protective and preventive programs for addressing such vulnerabilities.

Adverse Childhood Experiences: Mental Health Consequences and Risk Behaviors in Women and Men in Chile.

We used data from the Pilot National Survey of Adversity and Sexual Abuse in Childhood (2020), conducted by CUIDA UC, which comprises the Adverse Childhood Experiences International Questionnaire [ACE-IQ] (Adapted). The cross-sectional methodology used made it possible to directly calculate the prevalence of adverse childhood experiences in the population sampled, at a single point in time. We performed a bivariate and univariate descriptive analysis, a correlation analysis, and a multivariate analysis, all of which will be detailed in the section entitled "General Data Analysis Procedure". We found equally high rates of adverse childhood experiences in men and women, with community violence exhibiting the highest prevalence. We found significant low- to moderate-sized associations between the multiple types of ACEs considered and mental health problems, substance use problems, criminal behaviors, and intrafamily violence (IFV), which differed between men and women. Significant correlations were detected between the ACE score and mental health, substance use, criminal behaviors, and IFV in both men and women. Importantly, ACEs were found to be predictors of all of these variables, with differences observed between men and women. Nearly all participants reported having had at least one ACE and more than half reported had four or more ACEs. Those who had had four or more ACEs were more likely to report problems throughout their life. Having an ACE of any type was found to be a better predictor of mental health problems and IFV in men than in women and might be a stronger risk factor for substance use and criminal behaviors in women than in men.

Self-compassion, mental health shame and work motivation in German and Japanese employees

In Germany, more than two-thirds of employees report mental health issues, while in Japan, more than half of the country’s workforce are mentally distressed. Although both countries are socio-economically developed in similar ways, their cultures differ strongly. This article investigates mental health constructs among German and Japanese employees. A cross-sectional design was employed in which 257 German and 165 Japanese employees completed self-report scales regarding mental health problems, mental health shame, self-compassion and work motivation. T-tests, correlation and regression analyses were conducted. Results show that German employees have significantly higher levels of mental health problems, mental health shame, self-compassion and work motivation than Japanese employees. While many correlations were similar, mental health problems were associated with intrinsic motivation in Germans, but not in Japanese. Shame was associated with both intrinsic and extrinsic motivation in Japanese, but not in Germans. Self-compassion – defined as a complex of compassion, humanity, care and unconditional, compassionate love – was associated with gender and age in Japanese, but not in German employees. Lastly, regression analysis uncovered that self-compassion was the strongest predictor of mental health problems in Germans. In Japanese employees, mental health shame is the strongest predictor of mental health problems. Results can guide managers and psychologists in internationalised organisations to effectively approach employee mental health.

Factors associated with depression, anxiety, and stress symptoms among men in a rural area in Vietnam during COVID-19.

The COVID-19 pandemic has affected health and well-being worldwide, and its psychological effects are receiving substantial attention in the scientific literature. Research to date shows that the pandemic has increased prevalences of depression, anxiety, and stress. This study aimed to estimate the prevalence of mental health symptoms and identify the associated factors among men in a rural area of Vietnam during the COVID-19 pandemic. During July 15-31, 2020, we conducted a cross-sectional survey of 1,085 men from 18 years old in 11 rural districts in Thanh Hoa province, Vietnam, and assessed their mental health using the Depression, Anxiety and Stress Scale - 21 Items (DASS-21). Outcomes assessed were have a symptom of depression, anxiety, and stress; risk factors measured included age, religion, marital status, education, occupation, and financial status. Multiple linear regression was performed to determine the statistical significance of associations between risk factors and mental health symptoms. Findings showed that the prevalences of having a symptom of depression, anxiety and stress among participants were 6.39, 9.72, and 5.65%, respectively. Regression model showed being younger (95% CI: -0.030; -0.004, p = 0.001), men had high school degree (95% CI: -0.671; -0.074, p = 0.014), men living in nearly poor houshoulds (95% CI: 0.067, 1.905, p < 0.05) and poor housholds (95% CI: 0.608; 2.721, p < 0.05) had significantly lower depression scores than others. Prevalences of having symptoms of depression, anxiety and stress were much higher than in similar previous research in rural Vietnam, suggesting that mental health problems among men in this setting became more common during the COVID-19 pandemic. Age, religion, level of education and family income status were statistically significant predictors of mental health problems. These findings provide useful insights into the impact of pandemics on mental health.

Mental health problems of asymptomatic or mildly symptomatic COVID-19 patients in hospitel in Thailand: A cross-sectional study

Background There is evidence that patients with COVID-19 have a higher prevalence of mental health problems than the normal population. This study aimed to investigate the prevalence of mental health problems and their associated factors in patients with asymptomatic or mildly symptomatic in the hospitel in Thailand. Methods Mental health problems were evaluated using the Depression, Anxiety, and Stress Scale - 21 items, and Patient Health Questionnaire-9. The prevalence of mental health problems was presented by frequency and percentage. McNemar's test was used to compare the prevalence of mental health problems between day 1 and day 7. Binary logistic regression was used to identify potential predictors of mental health problems. Results A total of 186 participants (68.3% female; mean age = 37.21 years (SD 13.66) were recruited. The depression, anxiety, and stress rate on day 1 of admission was 26.9%, 32.3% and 25.8%, respectively. Having mild COVID-19 symptoms was a significantly associated factor with anxiety (OR=2.69, 95%CI: 1.05-6.89) and stress (OR=4.53, 95%CI: 1.32-15.55). Conclusions There was a high rate of mental health problems in COVID-19 patients. Detecting and managing mental health problems should be considered standard care for COVID-19 patients.

Prevalence of common mental health problems and associated factors among university students visiting Supara mental health service: A cross-sectional study.

Background: Early studies found that the mental health problems rate was relatively high in university students. We aimed to investigate the prevalence of mental problems and associated factors in university students. Methods: We conducted a cross-sectional descriptive study at Supara mental health service in the Faculty of Medicine Vajira Hospital between February 2020 to June 2021. The primary outcome was the prevalence of psychiatric diagnosis according to the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). The secondary assessments included the Patient Health Questionnaire-9 (PHQ-9), 8 items from the Mini International Neuropsychiatric Interview (MINI) to assess suicidal risk (8Q), and the Thai Mental Health Indicator (TMHI-15). The prevalence of mental health problems was presented by frequency and percentage. In addition, multivariable regression analysis was used to identify potential predictors of mental health problems. Results: A total of 184 participants (62% female; mean age = 22.49 years (SD 3.93) were recruited. The depressive disorders, adjustment disorders, and anxiety disorders rates were 57.1%, 15.2% and 13.6%, respectively. Grade point averages (GPAs) below 3.0 (OR=3.09, 95%CI: 1.17-8.14) and a family history of mental disorder (OR=3.40, 95%CI: 1.10-10.48) were significant associated factors of moderate to severe mental health problems. Detecting and screening these factors may help the university to provide early detection and treatment for students. Conclusions: Depressive disorders were the most common mental health disorders. Females, low GPAs and a family history of mental disorder were predictors of moderate to severe mental health problems.