Occupational health: the role of demographic factors in the condition of increased risk.

OBJECTIVES: The paper analyses the impact of socio-demographic characteristics of the employees in conditions of uncertainty in the organizations. MATERIAL AND METHODS: The study was conducted on a sample of 210 employees using the Mental Health Inventory - 38 (MHI-38), Satisfaction with life scale (SWLS), and the Center for Epidemiological Studies - Depression (CES-D). RESULTS: The results showed that female respondents had significantly higher scores on ANX (t = 2,278, p < 0.05), while male employees had higher scores on life satisfaction (t = 2.103, p < 0.05). Older employees have a higher tendency for loss of emotional-behavioral control (F = 4.427, p < 0.05). Respondents who have satisfying living standards have also higher scores on SWLS (t = 2.257, p < 0.05). Respondents who have dissatisfying living standard have higher scores on generally positive affect (t = 3.152, p < 0.01), life satisfaction (t = 3.571, p < 0.01), psychological distress (t = 2.929, p < 0.01) and loss of emotional- behavioral control (t = 2.361, p < 0.05). Employees with different levels of educational background have similar tendencies in life satisfaction, mental health, and depressive symptoms (p > 0.05). CONCLUSIONS: The study showed that the specific socio-demographic profile of the employees is related to higher levels of mental health issues. Specifically, the mental health of female and older employees have been especially affected and disturbed by uncertain conditions. The results can be potentially used both in the terms of designing activities that support the mental health of the population, as well as in relation to the mental health of employees. Int J Occup Med Environ Health. 2023;36(2):250-62.

Telephone monitoring and 15-month outcomes for patients with co-occurring substance use and mental health disorders: Moderating effects of high-risk patient characteristics.

INTRODUCTION: Telephone monitoring interventions for substance use disorders are an important component of continuing care to reduce relapse and connect patients to services. However, a knowledge gap still exists as to which patient groups benefit most from them. This secondary analysis of a randomized controlled trial examined moderators of associations between telephone monitoring and 15-month substance use outcomes among patients with co-occurring substance use and mental health disorders. High-risk patient characteristics at baseline were examined as potential moderators of the effectivness of telephone monitoring, including history of incarceration, severity of depression symptoms, and suicide risk. METHODS: Participants were 406 psychiatry inpatients with documented substance use and mental health disorders who were randomized to treatment as usual (TAU; n = 199) or TAU plus telephone monitoring (TM; n = 207). Outcomes included abstinence self-efficacy (Brief Situational Confidence Questionnaire) and alcohol and drug use severity (Addiction Severity Index composites) at 15-month follow-up. Analyses examined main effects of treatment condition and moderators, and interactions between treatment condition and moderators. RESULTS: The study found five significant main effects, three of which were qualified by significant interactions. Incarceration history was associated with higher drug use severity; higher suicide risk was associated with higher abstinence self-efficacy. Regarding interaction effects, among participants with an incarceration history, TM compared to TAU was associated with significantly lower alcohol use severity at 15-month follow-up; this finding did not hold for never-incarcerated participants. For participants with less severe depression symptoms, TM compared to TAU was associated with significantly lower alcohol use severity and higher abstinence self-efficacy at follow-up; this did not hold for participants with more severe depression symptoms. Suicide risk was not a significant moderator of any outcome. CONCLUSIONS: Results indicate that TM is effective in improving alcohol use severity and abstinence self-efficacy for some subgroups of patients, including patients with an incarceration history or less severe depression. Results inform the clinical provision of substance use disorder care by means of telehealth, which increased due to the COVID-19 pandemic.

Covid Related Distress and its Impact on Mental Health: A study based on early and late adolescents in Bangalore

The closure of educational institutions and social distancing norms have impacted the life of adolescents. Forced to stay at home, limited interaction with friends and online schooling are some of the factors that have affected their lives. While some researchers believe that the true extent of the impact on the mental health of the adolescent is still not clear, others propose that the impact will only be observable in later stages of their life. In an attempt to understand the impact of the COVID related distress factors on the mental well being of adolescents, the current study collected data from 100 early adolescents and 100 late adolescents. The COVID related distress factors were measured through an instrument designed for the same, while mental well being was measured through depression symptoms and general anxiety levels. The finings of the study identify the particular distress factors that have a significant impact on the mental well-being of adolescents. The findings also identify the factors that are significant in predicting the mental well-being of each category, separately.

Patterns of attentional biases in children and emotional symptoms during the COVID-19 pandemic: a two-wave longitudinal study.

BACKGROUND: It is unknown how the patterns of negative and positive attentional biases in children predict fear of COVID-19, anxiety symptoms, and depression symptoms during the COVID-19 pandemic. The study identified profiles of negative and positive attentional biases in children and examined their association with emotional symptoms during the COVID-19 pandemic. METHOD: 264 children (girls: 53.8% and boys: 46.2%) of 9-10 years born in Hong Kong or mainland China from a primary school in Shenzhen, People's Republic of China were involved in a two-wave longitudinal study. Children completed the COVID-19 Fear Scale, the Revised Child Anxiety and Depression Scale, and the Attention to Positive and Negative Information Scale to measure fear of COVID-19, anxiety and depression symptoms, and negative and positive attentional biases in classrooms. After six months, they completed the second assessment of fear of COVID-19, anxiety symptoms, and depression symptoms in classrooms. Latent profile analysis was conducted to reveal distinct profiles of attentional biases in children. A series of repeated MANOVA was performed to examine the association of profiles of attentional biases to fear of COVID-19, anxiety symptoms, and depression symptoms across 6 months. RESULTS: Three profiles of negative and positive attentional biases were revealed in children. Children with a "moderate positive and high negative attentional biases" profile had significantly higher fear of the COVID-19 pandemic, anxiety symptoms, and depression symptoms than children with a "high positive and moderate negative attentional biases" profile. Children with a "low positive and negative attentional biases" profile were not significantly different in fear of COVID-19, anxiety symptoms, and depression symptoms than those with the other two profiles. CONCLUSIONS: Patterns of negative and positive attentional biases were related to emotional symptoms during the COVID-19 pandemic. It might be important to consider children's overall patterns of negative and positive attentional biases to identify children at risk of higher emotional symptoms.

Depression symptoms, mattering, and anti-mattering: Longitudinal associations in young adulthood

We examined the dynamic interplay of depression symptoms, mattering (i.e., self-evaluation of importance or significance to others), and anti-mattering across four years of development in young adulthood (age 20-23;N = 452) using a cross-lagged panel model (CLPM). Support for a transactional model between anti-mattering and depression symptoms was found. Specifically, anti-mattering positively predicted later depression symptoms and depression symptoms consistently predicted later anti-mattering. Depression symptoms also shared a negative association with later mattering but not the reverse, supporting a symptoms-driven model of depression symptoms and mattering. Auto-regressive paths, residual covariances, and cross-lagged paths were invariant over time. Accounting for gender, household income, parental education, and fear of COVID-19 as covariates did not change the results. The stability of mattering and anti-mattering suggest careful consideration of how to effectively change these patterns. The implications for assessment and intervention on mattering or anti-mattering in the prevention and treatment of depression are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Using individual characteristics and habit measures to predict meditation app use behavior

Meditation app usage is associated with decreases in stress, anxiety, and depression symptoms. Many meditation app subscribers, however, quickly abandon or reduce their app usage. This dissertation presents three manuscripts which 1) determined the behavioral, demographic, and socioeconomic factors associated with the abandonment of a meditation app, Calm, during the COVID-19 pandemic, 2) determined which participant characteristics predicted meditation app usage in the first eight weeks after subscribing, and 3) determined if changes in stress, anxiety, and depressive symptoms from baseline to Week 8 predicted meditation app usage from Weeks 8-16. In Manuscript 1, a survey was distributed to Calm subscribers in March 2020 that assessed meditation app behavior and meditation habit strength, and demographic information. Cox proportional hazards regression models were estimated to assess time to app abandonment. In Manuscript 2, new Calm subscribers completed a baseline survey on participants' demographic and baseline mental health information and app usage data were collected over 8 weeks. In Manuscript 3, new Calm subscribers completed a baseline and Week 8 survey on demographic and mental health information. App usage data were collected over 16 weeks. Regression models were used to assess app usage for Manuscripts 2 and 3. Findings from Manuscript 1 suggest meditating after an existing routine decreased risk of app abandonment for pre-pandemic subscribers and for pandemic subscribers. Additionally, meditating "whenever I can" decreased risk of abandonment among pandemic subscribers. No behavioral factors were significant predictors of app abandonment among the long-term subscribers. Findings from Manuscript 2 suggest men had more days of meditation than women. Mental health diagnosis increased average daily meditation minutes. Intrinsic motivation for meditation increased the likelihood of completing any meditation session, more days with meditation sessions, and more average daily meditation minutes. Findings from Manuscript 3 suggest improvements in stress increased average daily meditation minutes. Improvements in depressive symptoms decreased daily meditation minutes. Evidence from this three-manuscript dissertation suggests meditation cue, time of day, motivation, symptom changes, and demographic and socioeconomic variables may be used to predict meditation app usage. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

Linguistic Predictors of Psychological Adjustment in Healthcare Workers during the COVID-19 Pandemic.

COVID-19 broke out in China in December 2019 and rapidly became a worldwide pandemic that demanded an extraordinary response from healthcare workers (HCWs). Studies conducted during the pandemic observed severe depression and PTSD in HCWs. Identifying early predictors of mental health disorders in this population is key to informing effective treatment and prevention. The aim of this study was to investigate the power of language-based variables to predict PTSD and depression symptoms in HCWs. One hundred thirty-five HCWs (mean age = 46.34; SD = 10.96) were randomly assigned to one of two writing conditions: expressive writing (EW n = 73) or neutral writing (NW n = 62) and completed three writing sessions. PTSD and depression symptoms were assessed both pre- and post-writing. LIWC was used to analyze linguistic markers of four trauma-related variables (cognitive elaboration, emotional elaboration, perceived threat to life, and self-immersed processing). Changes in PTSD and depression were regressed onto the linguistic markers in hierarchical multiple regression models. The EW group displayed greater changes on the psychological measures and in terms of narrative categories deployed than the NW group. Changes in PTSD symptoms were predicted by cognitive elaboration, emotional elaboration, and perceived threat to life; changes in depression symptoms were predicted by self-immersed processing and cognitive elaboration. Linguistic markers can facilitate the early identification of vulnerability to mental disorders in HCWs involved in public health emergencies. We discuss the clinical implications of these findings.

Anxiety and Depression Levels and Coping Strategies among Polish Healthcare Workers during the COVID-19 Pandemic.

During the COVID-19 pandemic, medical staff were commonly exposed to stress, work under pressure, and long shifts, and may have experienced a fear of infecting loved ones or a fear for their own health. All of these factors may have increased the likelihood that healthcare workers will experience the symptoms of depression, anxiety, or other mental health disorders. In this cross-sectional study, a group of respondents was gathered from the employees of 78 hospitals in Poland. A questionnaire was completed electronically by 282 people, aged between 20 and 78 years. The study used the Hospital Anxiety and Depression Scale (HADS) and the MiniCOPE questionnaire to examine anxiety and depression symptoms, and coping strategies, respectively. With age, the respondents declared fewer symptoms of anxiety and tended to have milder symptoms of depression. Participants with chronic illnesses, mood disorders, or anxiety disorders also reported higher levels of anxiety and depression symptoms. More than 20% of healthcare workers felt the need to consult with a psychologist. In the entire group of healthcare professionals surveyed, the most commonly used strategies for coping with stress were "denial", "psychoactive drug and alcohol use", and "cessation of activities", while the least used strategy was "acceptance". Given the most commonly used strategies in the surveyed group of healthcare professionals, they may be predictors for a deterioration in mental state in the long run. The obtained results also suggest that it is likely that pre-existing health problems had a greater impact on the mental health of medical staff during the COVID-19 pandemic than the profession itself. Therefore, taking care of the well-being and mental health of healthcare workers should be a priority for employers.

Effects of college students' mindfulness on depression symptoms during the epidemic prevention and control period: The mediating effect of psychological resilience.

Depression symptoms significantly impact college students' mental health, particularly during the "closed management" period during the spread of COVID-19. Exploring the mechanism that affects college students' depression symptoms can help alleviate the impact of closed management policies on individual mental health and improve their mental health level. The onset of the COVID-19 pandemic resulted in the normalization of epidemic prevention and control in China and the implementation of the dynamic zero-COVID policy. This study used the Five-Factor Mindfulness Questionnaire-Short Form, Psychological Resilience Scale, and Beck Depression Scale to investigate the mindfulness, psychological resilience, and depression symptoms of 1,062 students under closed management conditions at Northwest Normal University. The mindfulness, psychological resilience, and depression status of students in closed management were investigated using an online questionnaire survey. Eight hundred and ten college students (M age = 20.43, SD = 1.67, range = 17-30) were selected to test the model using the structural equation model and bootstrap method. The results showed that the gender differences in mindfulness and psychological resilience were not significant. Gender differences in depression symptoms were significant, and depression symptoms in men were significantly higher than in women. Grade differences in resilience, mindfulness, and depression levels were not significant. Thus, psychological resilience is negatively associated with depressive symptoms. Psychological resilience plays a mediating role between mindfulness and depressive symptoms. This study provides reference and inspiration for improving college students' mental health under epidemic prevention and control circumstances.

[COVID-19 Pandemic: Psychosocial impact among healthcare professionals in Tunisia]. / Pandémie COVID-19 : impact psychosocial sur le personnel de santé en Tunisie.

OBJECTIVE: To determine the psycho-affective impact of the Covid-19 pandemic on the mental health of health professionals in Tunisia and to estimate the associated factors. METHODS: This is a multicenter, cross-sectional, descriptive and analytical study of health professionals carried out from May 2, 2020 to June 30, 2020 in Tunisia. Healthcare professionals included doctors, nurses, dentists and pharmacists. The participants answered a pre-established questionnaire using an electronic "Google Form". This questionnaire gathered demographic data and medical history. It included two psychometric scales, the GAD-7 (General Anxiety Disorder-7) and the PHQ-9 (Patient Health Questionnaire-9) to assess the prevalence and intensity of anxiety symptoms and depressive symptoms respectively. RESULTS: The study included 203 healthcare professionals. The professionals had a mean age of 30.74±6.33years, 69.5 % were women, and the majority were doctors (77.8 %). Among professionals, 9.4 % were nurses, 7.4 % were dentists, and 5.4 % were pharmacists. A third of the participants 34.3 % worked in departments with Covid-19 patienfor having moderate to severe anxiety symptoms. CONCLUSION: In order to ensure better patient care, early detection of psychiatric disorders and the implementation of specific strategies to ensure better mental health among healthcare professionals are priorities not only during the current pandemic but also in the event of a future similar pandemic.

Impacts of the COVID-19 Pandemic on Anxiety and Depressive Symptoms in Pregnant Women and Related Perinatal Outcomes.

To evaluate the impacts of the COVID-19 pandemic on anxiety and depression symptoms in pregnant women and their relationship with pregnancy outcomes, 1087 pregnant women completed online questionnaires. Anxiety symptoms were measured using the Self-Rating Anxiety Scale (SAS). Depression was assessed using the Edinburgh Postnatal Depression Scale (EPDS), and the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Univariate analysis and logistic regression analysis were used to determine the association between depression and anxiety symptoms, participants' characteristics, and pregnancy outcomes. Of the 986 pregnant women who were included in this study, the rates of anxiety symptoms and depressive tendencies were 13.4% and 18.3%, respectively. Sleep disorder ((Adjusted odds ratio, AOR = 4.166; 95% confidence interval, CI: 2.797−6.205), time spent paying attention to the epidemic per day (≥1 h/d AOR = 1.568; 95% CI: 1.052−2.338), and the time spent with their spouses (Increase AOR = 0.629; 95% CI: 0.409−0.967) were associated with the risk of anxiety. Sleep disorder (AOR = 3.839; 95% CI: 2.718−5.432) and educational level (bachelor's degree or above AOR = 1.833; 95% CI: 1.004−3.345) were associated with the risk of depression. Psychological status was not correlated with the pregnancy outcomes (p > 0.05). Anxiety and depression symptoms were common among pregnant women during the COVID-19 pandemic. Special attention should be paid to manage their risk factors.

Prevalence and factors associated with depression, anxiety, and stress symptoms among home isolated COVID-19 patients in Western Nepal.

Introduction: Globally, COVID-19 pandemic has a significant impact on mental health. In Nepal, COVID-19 positive cases have to self-isolate at home in multi-generational and multi-family households. This could be strongly associated with depression, anxiety, and stress-related health outcomes. Additionally, COVID-19 related stigma and fear of transmission may intensify depression, anxiety, and stress symptoms. This study determined the prevalence of depression, anxiety, and stress symptoms and their association with presence of COVID-19 symptoms and comorbid conditions among home isolated COVID-19 positives in the Karnali province, Nepal. Methods: We conducted a cross-sectional study to assess depression, anxiety, and stress symptoms among 402 home isolated COVID-19 patients of Karnali province from January to May 2021 using "Depression, Anxiety and Stress Scale-21 (DASS-21)". We interviewed patients to collect socio-demographic, DASS-21, COVID-19 symptoms, comorbid conditions, and self-treatment. We conducted a telephonic interview using a standardized questionnaire using Kobotoolbox. We calculated the prevalence of depression, anxiety, and stress symptoms. We utilized univariate and multivariate logistic regression to determine their association with the presence of COVID-19 symptoms and comorbid conditions. In multivariate logistic regression, we adjusted sociodemographic factors (age, gender, ethnicity, marital status, monthly family income, education level), smoking status and history of self-treatment. We reported adjusted odds ratios (aOR) with 95% confidence intervals. All analyses were conducted in R (version: 4.0.3). Results: The prevalence of depression, anxiety and stress symptoms among home isolated COVID-19 patients were 8.0% (95% CI: 5.5 to 11.1), 11.2% (95% CI: 8.3 to 14.7), and 4.0% (95% CI: 2.3 to 6.4) respectively. Higher odds of depression symptoms (aOR: 2.86; 95% CI: 1.10-7.44, p = 0.03), anxiety symptoms (aOR: 3.81; 95% CI: 1.62 to 8.93; p = <0.01) and stress symptoms (aOR: 7.78; 95% CI: 1.43 to 42.28; p = 0.02) were associated significantly with presence of COVID-19 symptoms in past week. Higher odds of anxiety symptoms were associated with the presence of comorbid conditions (aOR = 2.92; 95% CI: 1.09 to 7.80; p = 0.03). Conclusion: Depression, anxiety, and stress symptoms were present in a significant proportion of home isolated COVID-19 patients in western Nepal and positively associated with the presence of COVID-19 symptoms. In this global COVID-19 pandemic, it is important to provide timely counseling to high-risk groups like those with comorbidities and COVID-19 symptoms to maintain a high level of mental health among home isolated COVID-19 patients.

Prevalence of depression symptoms among Estonian adults and associated factors after the first COVID-19 year

Background and aim. Mental disorders, especially depression, are leading causes of the global health related burden. Evidence suggests that the COVID-19 pandemic has increased the incidence of mental health problems. The aim of this study was to describe the prevalence of depression symptoms among adults and to analyse associations between self-reported depression symptoms and health and COVID-19 related factors in the general population of Estonia. Methodology. The study was conducted at the National Institute for Health Development. Data were collected from the cross-sectional web-based survey, conducted after the second wave of the COVID-19 outbreak (from April 13 to May 5, 2021) in Estonia. Altogether 3,604 adults responded to the survey;the response rate was 35%. The data for 3,557 respondents were included in analysis. The Emotional State Questionnaire version 2, a self-report questionnaire for depression symptoms, was used to assess the prevalence with the 95% confidence interval (CI). Logistic regression analysis was used to analyse associations between depression symptoms and various factors. Results. During the past month, 18.6% (95% CI 17.3-20.0) of the respondents had had depression symptoms. The prevalence of depression symptoms was significantly higher among women compared to men (15.2% vs. 21.6%, AOR = 1.8) during the COVID-19 pandemic. The odds of depression symptoms during the COVID-19 pandemic were higher for younger adults, e.g., compared to 70+ year-old people. The AOR=12.0 for 19-29 year- old, AOR=6.0 for 30-39 year-old and AOR=3.8 for 40-49 year-old people. In addition, people with poorer living conditions, unemployed and non-working people and people living alone had higher odds of depressive symptoms. This was also the case with lower self-rated health, less people to rely on, as well as consumption of alcohol in harmful amounts and occasional smoking of regular or e-cigarettes. Conclusion. About one person in five had experienced depression symptoms during the past month. Interventions should primarily be targeted to women, younger age groups, those with a smaller social support network and people with poorer living conditions. Copyright © 2022 OU Celsius Healthcare. All rights reserved.

Insomnia mediates the effect of perceived stress on emotional symptoms during the first wave of the COVID-19 pandemic in China.

The outbreak of the 2019 coronavirus disease (COVID-19) has significant effects on stress, emotion and sleep in the general public. The aim of this study was to explore the relationship between perceived stress and emotional symptoms during the first wave of the COVID-19 pandemic in China and to further determine whether insomnia could serve as a mediator in this relationship. A total of 1178 ordinary citizens living in mainland China conducted anonymous online surveys. The 10-item Perceived Stress Scale, the Insomnia Severity Index, the 9-item Patient Health Questionnaire and the 7-item Generalized Anxiety Disorder scale were used to estimate perceived stress, insomnia, depression and anxiety symptoms, respectively. Of the 1171 valid respondents from 132 cities in China, 46.6 % and 33.0 % showed symptoms of depression and anxiety, respectively. Perceived stress and insomnia independently predicted the prevalence of emotional symptoms and were positively correlated with the severity of these emotional symptoms. The mediation analyses further revealed a partial mediation effect of insomnia on the relationship between perceived stress and emotional symptoms during the first wave of the COVID-19 outbreak in China. Our findings can be used to formulate early psychological interventions to improve the mental health of vulnerable groups, specifically those with insomnia, during the COVID-19 pandemic.

Using individual characteristics and habit measures to predict meditation app use behavior

Meditation app usage is associated with decreases in stress, anxiety, and depression symptoms. Many meditation app subscribers, however, quickly abandon or reduce their app usage. This dissertation presents three manuscripts which 1) determined the behavioral, demographic, and socioeconomic factors associated with the abandonment of a meditation app, Calm, during the COVID-19 pandemic, 2) determined which participant characteristics predicted meditation app usage in the first eight weeks after subscribing, and 3) determined if changes in stress, anxiety, and depressive symptoms from baseline to Week 8 predicted meditation app usage from Weeks 8-16. In Manuscript 1, a survey was distributed to Calm subscribers in March 2020 that assessed meditation app behavior and meditation habit strength, and demographic information. Cox proportional hazards regression models were estimated to assess time to app abandonment. In Manuscript 2, new Calm subscribers completed a baseline survey on participants' demographic and baseline mental health information and app usage data were collected over 8 weeks. In Manuscript 3, new Calm subscribers completed a baseline and Week 8 survey on demographic and mental health information. App usage data were collected over 16 weeks. Regression models were used to assess app usage for Manuscripts 2 and 3. Findings from Manuscript 1 suggest meditating after an existing routine decreased risk of app abandonment for pre-pandemic subscribers and for pandemic subscribers. Additionally, meditating "whenever I can" decreased risk of abandonment among pandemic subscribers. No behavioral factors were significant predictors of app abandonment among the long-term subscribers. Findings from Manuscript 2 suggest men had more days of meditation than women. Mental health diagnosis increased average daily meditation minutes. Intrinsic motivation for meditation increased the likelihood of completing any meditation session, more days with meditation sessions, and more average daily meditation minutes. Findings from Manuscript 3 suggest improvements in stress increased average daily meditation minutes. Improvements in depressive symptoms decreased daily meditation minutes. Evidence from this three-manuscript dissertation suggests meditation cue, time of day, motivation, symptom changes, and demographic and socioeconomic variables may be used to predict meditation app usage. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

Evaluation and analysis of anxiety and depression symptoms for college students during COVID-19 pandemic.

BACKGROUND: The mental health of students is affected by COVID-19. We aim to evaluate the anxiety and depression symptoms among college students during COVID-19 pandemic, analyze the influence factors that contribute to college students' anxiety and depression symptoms, and provide some suggestions for improving the mental health of college students. METHODS: With 179 college students participating, an online questionnaire consisting of a general questionnaire, Generalized Anxiety Disorder (GAD-7), and Patient Health Questionnaire (PHQ-9) was conducted in universities in Shanghai. The anxiety and depression symptoms among college students were evaluated using GAD-7 and PHQ-9 scales, and influence factors were analyzed using an unordered multi-class Logistic regression model. RESULTS: The reliability and validity of the GAD-7 and PHQ-9 scales were good (reliability ≥ 0.9, validity = 100%). The incidence of anxiety was 32.4%, of which were 23.5%, 8.4%, and 0.6% in mild, moderate, and severe, respectively; and the incidence of depression was 46.40%, of which in mild, moderate, moderate to severe, and severe were 28.5%, 10.1%, 7.3%, and 0.6%, respectively. Multivariate analysis revealed that male students with strong psychological quality, who were not easily affected by the COVID-19 pandemic, who received less negative or false information, and who had a strong grasp of psychology and related knowledge were less likely to suffer from mild or moderate anxiety symptoms [OR (95% CI) 0.18 (0.04, 0.81), 0.12 (0.05, 0.33), 0.23 (0.06, 0.89) and 0.07 (0.01, 0.74)]. Furthermore, college students who were not affected by the COVID-19 pandemic were less likely to suffer from mild, moderate, and moderate to severe depression symptoms [OR (95% CI) 0.23 (0.08, 0.65), 0.22 (0.05, 0.93), 0.10 (0.02, 0.54)]. CONCLUSION: The GAD-7 and PHQ-9 scales are suitable for evaluating anxiety and depression symptoms in college students. The COVID-19 pandemic was associated with a high incidence of anxiety and depression symptoms among college students, although gender and mental state fluctuations during the pandemic, negative and false information, and exposure to psychology and related courses were the main influencing factors.

Mental health assessment of Spanish frontline healthcare workers during the SARS-CoV-2 pandemic.

Background and objective: The Covid-19 pandemic continues challenging health systems globally, exposing healthcare workers to constant physical and psychological stressors. To date, several studies have already shown the catastrophic impact on the mental health of medical personnel during the early period of the pandemic. Nevertheless, literature evidences the dearth of works that evaluate the effect over time, understanding the pandemic as a sustained extreme stressor. The present study examines the effect of the pandemic on the mental health of Covid-19 frontline healthcare workers at six months follow-up. Material and methods: A total of 141 frontline healthcare workers from two tertiary hospitals were recruited between July and November 2020. Healthcare workers were evaluated psychologically at baseline and six months follow-up (January to May 2021) using psychometric tests for the assessment of acute stress (VASS, PSS-10, PCL-5), anxiety (STAI) and depression (PHQ-2). Results: Overall, there was a general worsening of the mental health between the two psychological assessments, especially regarding depression and predisposition to perceiving the situations as a threat. Nurses and nurse aides showed poorer mental health while physicians improved over time. Reduced working hours and higher physical exercise resulted in better mental health among healthcare workers. Women and nursing staff were the most affected by psychological distress at baseline and six months follow-up. Conclusion: Reduced working hours, adequate resting periods, physical exercise, and efficient intervention strategies are of utmost importance in preventing, controlling, and reducing psychological distress among healthcare workers when coping with critical scenarios such as the current pandemic.

Antecedentes y objetivo: La pandemia Covid-19 sigue desafiando a los sistemas sanitarios, exponiendo al personal asistencial a estresores físicos y psicológicos. Actualmente, varios estudios han demostrado el impacto catastrófico en la salud mental del personal asistencial durante la primera etapa de la pandemia, pero pocos han considerado el seguimiento de los síntomas. El presente estudio examina el efecto de la pandemia en la salud mental del personal sanitario de primera línea a los 6 meses de seguimiento. Material y métodos: Se evaluó psicológicamente a 141 trabajadores sanitarios de primera línea de 2 hospitales terciarios al inicio del estudio (julio-noviembre, 2020) y a los 6 meses (enero-mayo, 2021) mediante pruebas psicométricas para el estrés agudo (VASS, PSS-10, PCL-5), la ansiedad (STAI) y la depresión (PHQ-2). Resultados: En general, se observó un empeoramiento de la salud mental entre las 2 evaluaciones psicológicas, especialmente en depresión y predisposición a percibir las situaciones como una amenaza. La salud mental del personal de enfermería empeoró con el tiempo, mientras que los médicos mejoraron. La reducción de la jornada laboral y el aumento del ejercicio físico mejoraron la salud mental. Las mujeres y el personal de enfermería fueron los más afectados por el malestar psicológico al inicio y a los 6 meses de seguimiento. Conclusión: Jornadas laborales reducidas, períodos de descanso adecuados, ejercicio físico y estrategias de intervención eficientes son de suma importancia para prevenir, controlar y reducir el malestar psicológico entre el personal sanitario ante escenarios críticos como la pandemia actual.

A Survey on Depressive Symptoms and Its Correlates Amongst Physicians in Bangladesh During the COVID-19 Pandemic.

Aim: The aim of this study was to determine the presence of depressive symptoms and understand the potential factors associated with these symptoms among physicians in Bangladesh during the COVID-19 pandemic. Methods: A cross-sectional study using an online survey was conducted in between April 21 and May 10, 2020, among physicians living in Bangladesh. Participants completed a series of demographic questions, COVID-19-related questions, and the Patient Health Questionnaire-9 (PHQ-9). Descriptive statistics (frequency, percentage, mean and standard deviation), test statistics (chi-squared test and logistic regression) were performed to explore the association between physicians' experience of depression symptoms and other study variables. Stepwise binary logistic regression was followed while conducting the multivariable analysis. Result: A total of 390 physicians completed the survey. Of them, 283 (72.6%) were found to be experiencing depressive symptoms. Predictors which were significantly associated with depressive symptoms were gender (with females more likely to experience depression than males), the presence of sleep disturbance, being highly exposed to media coverage about the pandemic, and fear around (a) COVID-19 infection, (b) being assaulted/humiliated by regulatory forces and (c) by the general public, while traveling to and from the hospital and treating patients during the countrywide lockdown. Conclusion: The findings of this study demonstrate that there is a high prevalence of depressive symptom among physicians especially among female physicians in Bangladesh during the COVID-19 pandemic. Immediate, adequate and effective interventions addressing gender specific needs are required amid this ongoing crisis and beyond.

Association of depression symptoms and sleep quality with state-trait anxiety in medical university students in Anhui Province, China: a mediation analysis.

BACKGROUND: The prevalence of depression symptoms among medical students is particularly high, and it has increased during the COVID-19 epidemic. Sleep quality and state-trait anxiety are risk factors for depression, but no study has yet investigated the mediating role of state-trait anxiety in the relationship between poor sleep quality and depression symptoms in medical students. This study aims to investigate the relationship among depression symptoms, sleep quality and state-trait anxiety in medical university students in Anhui Province. METHODS: This was a cross-sectional survey of 1227 students' online questionnaires collected from four medical universities in Anhui Province using a convenience sampling method. We measured respondents' sleep quality, state-trait anxiety, and depression symptoms using three scales: the Pittsburgh Sleep Quality Index (PSQI), the State-Trait Anxiety Inventory (STAI) and the Self-rating Depression Scale (SDS). We analysed the mediating role of STAI scores on the association between PSQI scores and SDS scores through the Sobel-Goodman Mediation Test while controlling for covariates. P < 0.05 was considered statistically significant. RESULTS: A total of 74.33% (912) and 41.40% (518) of the respondents reported suffering from poor sleep quality and depression symptoms. Sleep quality, state-trait anxiety, and depression symptoms were positively associated with each other (ß = 0.381 ~ 0.775, P < 0.001). State-trait anxiety partially mediated the association between sleep quality and depression symptoms (Sobel test Z = 15.090, P < 0.001), and this mediating variable accounted for 83.79% of the association when adjusting for potential confounders. Subgroup analysis further revealed that STAI scores partially mediated the association between PSQI scores and SDS scores in females and rural students and fully mediated the association between PSQI scores and SDS scores in males and urban students. CONCLUSIONS: This study found that sleep quality and state-trait anxiety have a significant predictive effect on depression symptoms. State-trait anxiety mediated the relationship between sleep quality and depression symptoms, with a more complex mechanism observed among rural and female medical students. Multiple pathways of intervention should be adopted, such as encouraging students to self-adjust, providing professional psychological intervention and timely monitoring, enriching extracurricular activities, and making changes in policies regarding long shifts and working hours.

[Consumption of legal and illegal drugs and depressive symptoms in older adults during the SARS-CoV-2 pandemic in Mexico]. / Consumo de drogas legales e ilegales y síntomas de depresión en adultos mayores usuarios de Facebook durante la pandemia por SARS-CoV-2 en México.

BACKGROUND: The health risks faced by older adults are diverse; however, little has been explored about the use and abuse of psychoactive substances in this population. The seclusion imposed by the situation that prevails due to SARS-CoV-2 has increased the feelings of loneliness, isolation and sadness associated with this age, which makes them a risk factor for drug use. OBJECTIVE: To analyze the consumption of legal and illegal drugs in people over 60 years of age who are Facebook users and its relationship with symptoms of depression during the SARS-CoV-2 pandemic. MATERIAL AND METHODS: Study carried out on 380 elderly people, Facebook users, who answered a questionnaire published online, which inquired about: sociodemographic data, frequency and amount of legal and illegal drug use, and depressive symptomatology. RESULTS: 50.26% were women; the average age was 66.79 years (SD=5.81); 31.05% consumed alcohol in the last 30 days, 22.63% tobacco, tranquilizers without medical prescription 16.05% and marijuana 7.89%. The consumption of other illegal drugs did not exceed 2.6% of the population. When comparing between users and non-users, it turned out that consumption in the last 30 days was slightly higher in women, in single people and no differences were observed depending on the level of schooling. Mild and severe depressive symptoms were found to be associated with all drugs except tobacco and opiates. DISCUSSION AND CONCLUSIONS: The results obtained demonstrate the need to make drug use visible among older adults and to develop strategies that reduce the mood disorders they may be experiencing, such as fear, anguish and depression. When comparing between users and non-users, it turned out that consumption in the last 30 days was slightly higher in women, in single people and no differences were observed depending on the level of schooling.