Disparities in COVID-19 infection, hospitalisation and death in people with schizophrenia, bipolar disorder, and major depressive disorder: a cohort study of the UK Biobank.

People with severe mental illness (SMI; including schizophrenia/psychosis, bipolar disorder (BD), major depressive disorder (MDD)) experience large disparities in physical health. Emerging evidence suggests this group experiences higher risks of infection and death from COVID-19, although the full extent of these disparities are not yet established. We investigated COVID-19 related infection, hospitalisation and mortality among people with SMI in the UK Biobank (UKB) cohort study. Overall, 447,296 participants from UKB (schizophrenia/psychosis = 1925, BD = 1483 and MDD = 41,448, non-SMI = 402,440) were linked with healthcare and death records. Multivariable logistic regression analysis was used to examine differences in COVID-19 outcomes by diagnosis, controlling for sociodemographic factors and comorbidities. In unadjusted analyses, higher odds of COVID-19 mortality were seen among people with schizophrenia/psychosis (odds ratio [OR] 4.84, 95% confidence interval [CI] 3.00-7.34), BD (OR 3.76, 95% CI 2.00-6.35), and MDD (OR 1.99, 95% CI 1.69-2.33) compared to people with no SMI. Higher odds of infection and hospitalisation were also seen across all SMI groups, particularly among people with schizophrenia/psychosis (OR 1.61, 95% CI 1.32-1.96; OR 3.47, 95% CI 2.47-4.72) and BD (OR 1.48, 95% CI 1.16-1.85; OR 3.31, 95% CI 2.22-4.73). In fully adjusted models, mortality and hospitalisation odds remained significantly higher among all SMI groups, though infection odds remained significantly higher only for MDD. People with schizophrenia/psychosis, BD and MDD have higher risks of COVID-19 infection, hospitalisation and mortality. Only a proportion of these disparities were accounted for by pre-existing demographic characteristics or comorbidities. Vaccination and preventive measures should be prioritised in these particularly vulnerable groups.

The effects of COVID-19 on European healthcare provision for working-age adults with major depressive disorder.

BACKGROUND: Major depressive disorder (MDD) is a leading cause of disability worldwide, and yet delivery of care for this illness is rife with gaps. The COVID-19 pandemic has had far reaching implications for every facet of healthcare, and MDD is no exception. This scoping review aimed to ascertain the impacts of COVID-19 on the delivery of MDD care in Europe, as well as to evaluate any novel MDD care strategies trialled in this period. METHODS: We searched the PubMed and PsycINFO databases up to January 2022 with a strategy centred around COVID-19 and MDD. Full texts of eligible studies examining working-age adults and conducted in Europe were evaluated against several criteria. All outcomes were then extracted and a narrative synthesis was constructed to summarise identified themes. RESULTS: Of 1,744 records identified in our search, 11 articles were eligible for inclusion in the review. In general, these studies reported a decrease in treatment rates, access to care, and perceived access to care during the COVID-19 pandemic. In addition, digital interventions trialled during the pandemic were broadly well-received by users, though their efficacy in improving MDD care was ambiguous. CONCLUSIONS: Despite a limited number of pertinent studies, this scoping review identified a trend of exacerbated treatment gaps in MDD care during the pandemic. Several of our pre-specified gaps, including delays to detection or treatment of depression and rates of follow-up contacts, remained unexplored in the context of COVID-19. This highlights the need for further investigation to obtain a full understanding of the relationship between COVID-19 and MDD care in Europe.

Major depressive episode in hospital workers during the Covid-19 pandemic in Brazil.

OBJECTIVES: To estimate prevalence and factors associated with major depressive episode (MDE), emphasizing occupational aspects, in workers of a public teaching hospital that is a reference for Covid-19 treatment. METHODS: A cross-sectional study was carried out between October and December 2020, after the first peak of the pandemic, interviewing 1,155 workers. The prevalence of MDE was estimated using the Patient Health Questionnaire (PHQ-9) algorithm. Multivariate hierarchical analysis was conducted using Poisson regression to assess associated factors. RESULTS: MDE prevalence was 15.3% (95%CI: 13.3-17.5) and was higher among young, white and female workers, those with a family history of depression, resident professionals, nursing professionals, workers who were exposed to three or more situations of moral dilemma, and those who had to put off a physiological need until later. Having a risk factor for Covid-19, being a smoker and being physically inactive were also positively associated with MDE. CONCLUSIONS: The study points to the considerable prevalence of MDE among tertiary health care workers; reviewing work processes is essential to reduce occupational stress and minimize the effects of the pandemic on mental health, preventing those problems from becoming chronic.

Pre- and peri-traumatic event stressors drive gender differences in chronic stress-related psychological sequelae: A prospective cohort study of COVID-19 frontline healthcare providers.

Women are at heightened risk for chronic stress-related psychological sequelae (SRPS), including major depressive disorder (MDD), generalized anxiety disorder (GAD), and posttraumatic stress disorder (PTSD) in response to potentially traumatic events, including the COVID-19 pandemic. However, few studies have examined pre- and peri-event stressors that could account for gender differences in chronic SRPS. To address this gap, we conducted a prospective cohort study of healthcare providers (HCPs) caring for patients with COVID-19 at a large tertiary care hospital in New York City, and measured mental health risk factors and symptoms of MDD, GAD, and PTSD at baseline (April 2020) and at a 7-month follow-up (December 2020). We defined chronic SRPS as the presence of probable MDD, GAD, and/or PTSD at both timepoints. We conducted a mediation analysis to evaluate whether pre- and peri-event stressors explained women's increased risk for chronic SRPS. Among our sample of 786 HCPs, 571 (72.6%) were women. Compared with men, women were twice as likely to have chronic SRPS (18.7% vs. 8.8%, χ2[1] = 11.38, p < 0.001). However, after accounting for pre- and peri-event stressors, being a woman was no longer associated with chronic SRPS (p = 0.58). The pre- and peri-event stressors that accounted for this heightened risk among women included being in a woman-prevalent profession (specifically nursing; estimate = 0.08, SE = 0.04, p = 0.05), pre-pandemic burnout (estimate = 0.11, SE = 0.05, p = 0.04), greater family-related (estimate = 0.09, SE = 0.03, p = 0.004), infection-related (estimate = 0.06, SE = 0.02, p = 0.007), and work-related concerns (estimate = 0.11, SE = 0.03, p < 0.001), and lower leadership support (estimate = 0.07, SE = 0.03, p = 0.005). These findings can inform institutional interventions to mitigate the risk of chronic SRPS among women HCPs.

Prevalence of depression among students at a Sri Lankan University: A study using the Patient Health Questionnaire-9 (PHQ-9) during the COVID-19 pandemic.

BACKGROUND: The prevalence of mental health disorders is known to be high among university students globally. Currently there are only a few studies on depression among university students in Sri Lanka. The aim of this study was to screen for the prevalence of Major Depressive Disorder (MDD) and other forms of depression, and to evaluate the factors associated with MDD. METHODS: A cross sectional survey using the Patient Health Questionnaire (PHQ-9) was conducted among 637, second-year students from the faculties of Management Studies & Commerce, Science and Medicine at the University of Jaffna, during the Coronavirus (COVID-19) pandemic. Bivariate associations were assessed using chi-squared tests. Logistic regression was used to evaluate factors associated with any type of ragging. RESULTS: MDD was considered to have been experienced by 31% of the students. From all three faculties, 70% of the students claimed to have experienced some form of depression ranging from mild to severe. The factor associated with MDD was the students' ethnicity. CONCLUSION: Due to the high MDD risk among university students, it is imperative to develop psychosocial interventions to ensure early detection of mental health disorders and provide adequate support to safeguard this vulnerable population.

Health-care-Related Practices in Virtual Behavioral Health Treatment for Major Depression Before and During the COVID-19 Pandemic.

BACKGROUND: The abrupt shift to virtual care at the onset of the COVID-19 pandemic had the potential to disrupt care practices in virtual behavioral health encounters. We examined changes over time in virtual behavioral health-care-related practices for patient encounters with diagnoses of major depression. METHODS: This retrospective cohort study utilized electronic health record data from 3 integrated health care systems. Inverse probability of treatment weighting was used to adjust for covariates across 3 time periods, prepandemic (January 2019-March 2020), peak-pandemic shift to virtual care (April 2020-June 2020), and recovery of health care operations (July 2020-June 2021). First virtual follow-up behavioral health department encounters after an incident diagnostic encounter were examined for differences across the time periods in rates of antidepressant medication orders and fulfillments, and completion of patient-reported symptoms screeners in service of measurement-based care. RESULTS: Antidepressant medication orders declined modestly but significantly in 2 of the 3 systems during the peak-pandemic period but rebounded during the recovery period. There were no significant changes in patient fulfillment of ordered antidepressant medications. Completion of symptom screeners increased significantly in all 3 systems during the peak-pandemic period and continued to increase significantly in the subsequent period. CONCLUSIONS: A rapid shift to virtual behavioral health care was possible without compromising health-care-related practices. The transition and subsequent adjustment period have instead been marked by improved adherence to measurement-based care practices in virtual visits, signaling a potential new capacity for virtual health care delivery.

Prevalence and patterns of major depressive disorder and subthreshold depressive symptoms in south China.

BACKGROUND: Information on major depressive disorder (MDD) and subthreshold depressive symptoms (SDS) is rarely reported in south China. This study examines the prevalence rates and patterns of MDD and SDS of a large representative sample of adult residents in south China. METHODS: The Guangdong Mental Health Survey was conducted on adults (over 18 years) from September to December 2021. Multistage stratified cluster sampling was used and face-to-face interviews were done with a two-stage design by trained lay interviewers and psychiatrists. A total of 16,377 inhabitants were interviewed using standardized assessment tools. Data were weighted to adjust for differential probabilities of selection and differential response. RESULTS: The weighted prevalence rates of MDD and SDS were 2.5 % (95%CI: 2.2 %-2.9 %) and 14.7 % (95%CI: 14.0 %-15.5 %), respectively. Multinomial logistic regression analysis revealed that female, younger age, living in urban area, higher education, unmarried, irregular meal pattern, lack of physical exercise, chronic diseases, irregular napping pattern and short sleep were positively associated with SDS. Besides, female, younger age, unmarried, irregular meal pattern, lack of physical exercise, chronic diseases, short sleep and poor mental health were positively associated with MDD. LIMITATIONS: The cross-sectional nature of the study limited causal inferences. CONCLUSIONS: The prevalence of MDD in Guangdong province in 2021 is higher than in mainland China in 2013. Given the higher prevalence of SDS, and high burden of depression, it also offers valuable opportunities for policymakers and health-care professionals to explore the factors affecting mental health in Guangdong province, especially during the COVID-19 epidemic.

The Impact of COVID-19 Lockdown on Adults with Major Depressive Disorder from Catalonia: A Decentralized Longitudinal Study.

The present study analyzes the effects of each containment phase of the first COVID-19 wave on depression levels in a cohort of 121 adults with a history of major depressive disorder (MDD) from Catalonia recruited from 1 November 2019, to 16 October 2020. This analysis is part of the Remote Assessment of Disease and Relapse-MDD (RADAR-MDD) study. Depression was evaluated with the Patient Health Questionnaire-8 (PHQ-8), and anxiety was evaluated with the Generalized Anxiety Disorder-7 (GAD-7). Depression's levels were explored across the phases (pre-lockdown, lockdown, and four post-lockdown phases) according to the restrictions of Spanish/Catalan governments. Then, a mixed model was fitted to estimate how depression varied over the phases. A significant rise in depression severity was found during the lockdown and phase 0 (early post-lockdown), compared with the pre-lockdown. Those with low pre-lockdown depression experienced an increase in depression severity during the "new normality", while those with high pre-lockdown depression decreased compared with the pre-lockdown. These findings suggest that COVID-19 restrictions affected the depression level depending on their pre-lockdown depression severity. Individuals with low levels of depression are more reactive to external stimuli than those with more severe depression, so the lockdown may have worse detrimental effects on them.

Hospitalization Associated With Comorbid Psychiatric and Substance Use Disorders Among Adults With COVID-19 Treated in US Emergency Departments From April 2020 to August 2021.

Importance: During the COVID-19 pandemic, US emergency department (ED) visits for psychiatric disorders (PDs) and drug overdoses increased. Psychiatric disorders and substance use disorders (SUDs) independently increased the risk of COVID-19 hospitalization, yet their effect together is unknown. Objective: To assess how comorbid PD and SUD are associated with the probability of hospitalization among ED patients with COVID-19. Design, Setting, and Participants: This retrospective cross-sectional study analyzed discharge data for adults (age ≥18 years) with a COVID-19 diagnosis treated in 970 EDs and inpatient hospitals in the United States from April 2020 to August 2021. Exposures: Any past diagnosis of (1) SUD from opioids, stimulants, alcohol, cannabis, cocaine, sedatives, or other substances and/or (2) PD, including attention-deficit/hyperactivity disorder (ADHD), anxiety, bipolar disorder, major depression, other mood disorder, posttraumatic stress disorder (PTSD), or schizophrenia. Main Outcomes and Measures: The main outcome was any hospitalization. Differences in probability of hospitalization were calculated to assess its association with both PD and SUD compared with PD alone, SUD alone, or neither condition. Results: Of 1 274 219 ED patients with COVID-19 (mean [SD] age, 54.6 [19.1] years; 667 638 women [52.4%]), 18.6% had a PD (mean age, 59.0 years; 37.7% men), 4.6% had a SUD (mean age, 50.1 years; 61.7% men), and 2.3% had both (mean age, 50.4 years; 53.1% men). The most common PDs were anxiety (12.9%), major depression (9.8%), poly (≥2) PDs (6.4%), and schizophrenia (1.4%). The most common SUDs involved alcohol (2.1%), cannabis (1.3%), opioids (1.0%), and poly (≥2) SUDs (0.9%). Prevalence of SUD among patients with PTSD, schizophrenia, other mood disorder, or ADHD each exceeded 21%. Based on significant specific PD-SUD pairs (Q < .05), probability of hospitalization of those with both PD and SUD was higher than those with (1) neither condition by a weighted mean of 20 percentage points (range, 6 to 36; IQR, 16 to 25); (2) PD alone by 12 percentage points (range, -4 to 31; IQR, 8 to 16); and (3) SUD alone by 4 percentage points (range, -7 to 15; IQR, -2 to 7). Associations varied by types of PD and SUD. Substance use disorder was a stronger predictor of hospitalization than PD. Conclusions and Relevance: This study found that patients with both PD and SUD had a greater probability of hospitalization, compared with those with either disorder alone or neither disorder. Substance use disorders appear to have a greater association than PDs with the probability of hospitalization. Overlooking possible coexisting PD and SUD in ED patients with COVID-19 can underestimate the likelihood of hospitalization. Screening and assessment of both conditions are needed.

Prevalence, Correlates, and Psychiatric Burden of Prolonged Grief Disorder in U.S. Military Veterans: Results From a Nationally Representative Study.

OBJECTIVES: To examine the point prevalence and correlates of prolonged grief disorder (PGD) in a nationally-representative sample of United States (U.S.) veterans. METHODS: Data were analyzed from the National Health and Resilience in Veterans Study, a nationally representative study of 2,441 U.S. veterans. RESULTS: A total of 158 (weighted 7.3%) veterans screened positive for PGD. The strongest correlates of PGD were adverse childhood experiences, female sex, non-natural causes of death, knowing someone who died from coronavirus disease 2019, and number of close losses. After adjusting for sociodemographic, military, and trauma variables, veterans with PGD were 5-to-9 times more likely to screen positive for post-traumatic stress disorder, major depressive disorder, and generalized anxiety disorder. After additional adjustment for current psychiatric and substance use disorders, they were 2-3 times more likely to endorse suicidal thoughts and behaviors. CONCLUSIONS: Results underscore the importance of targeting PGD as an independent risk factor for psychiatric disorders and suicide risk.

What factors explain the changes in major depressive disorder symptoms by age group during the COVID-19 pandemic? A longitudinal study.

BACKGROUND: Data collected during the COVID-19 pandemic suggest an increase in major depressive disorder (MDD) among younger adults. The current study aims to assess the association of age groups and MDD risk before and during the COVID-19 pandemic and quantify the effect of potential mediating variables such as loneliness, social support, resilience, and socioeconomic factors. METHODS: A representative sample of Spanish adults was interviewed before (2019, N = 1880) and during (2020, N = 1103) the COVID-19 pandemic. MDD was assessed using the CIDI, loneliness through the UCLA scale, social support through the OSSS-3, resilience with the 6-BRS, and worsened economic circumstances and unemployment through a single question. Mixed-models were used to study changes in MDD by age group. Regression models were constructed to quantify the association between age and potential mediators, as well as their mediating effect on the association between age group and MDD. RESULTS: Among the younger age cohorts (18-29 and 30-44 years) the probability of having MDD during the pandemic increased from 0.04 (95 % CI: 0.002-0.09) to 0.25 (0.12-0.39) and from 0.02 (-0.001-0.03) to 0.11 (0.04-0.17), respectively. Some 36.6 % of the association between age and risk of MDD during the pandemic was explained by loneliness (12.0 %), low resilience (10.7 %), and worsened economic situation (13.9 %). LIMITATIONS: Reliance on self-report data and generalizability of the findings limited to the Spanish population. CONCLUSIONS: Strategies to decrease the impact of a pandemic on depressive symptoms among young adults should address loneliness, provide tools to improve resilience, and enjoy improved financial support.

Initial response to the COVID-19 pandemic on real-life well-being, social contact and roaming behavior in patients with schizophrenia, major depression and healthy controls: A longitudinal ecological momentary assessment study.

The COVID-19 pandemic strongly impacted people's daily lives. However, it remains unknown how the pandemic situation affects daily-life experiences of individuals with preexisting severe mental illnesses (SMI). In this real-life longitudinal study, the acute onset of the COVID-19 pandemic in Germany did not cause the already low everyday well-being of patients with schizophrenia (SZ) or major depression (MDD) to decrease further. On the contrary, healthy participants' well-being, anxiety, social isolation, and mobility worsened, especially in healthy individuals at risk for mental disorder, but remained above the levels seen in patients. Despite being stressful for healthy individuals at risk for mental disorder, the COVID-19 pandemic had little additional influence on daily-life well-being in psychiatric patients with SMI. This highlights the need for preventive action and targeted support of this vulnerable population.

Mental Health Service Utilization Rates Among Commercially Insured Adults in the US During the First Year of the COVID-19 Pandemic.

Importance: The COVID-19 pandemic has been associated with an elevated prevalence of mental health conditions and disrupted mental health care throughout the US. Objective: To examine mental health service use among US adults from January through December 2020. Design, Setting, and Participants: This cohort study used county-level service utilization data from a national US database of commercial medical claims from adults (age >18 years) from January 5 to December 21, 2020. All analyses were conducted in April and May 2021. Main Outcomes and Measures: Per-week use of mental health services per 10 000 beneficiaries was calculated for 5 psychiatric diagnostic categories: major depressive disorder (MDD), anxiety disorders, bipolar disorder, adjustment disorders, and posttraumatic stress disorder (PTSD). Changes in service utilization rates following the declaration of a national public health emergency on March 13, 2020, were examined overall and by service modality (in-person vs telehealth), diagnostic category, patient sex, and age group. Results: The study included 5 142 577 commercially insured adults. The COVID-19 pandemic was associated with more than a 50% decline in in-person mental health care service utilization rates. At baseline, there was a mean (SD) of 11.66 (118.00) weekly beneficiaries receiving services for MDD per 10 000 enrollees; this declined by 6.44 weekly beneficiaries per 10 000 enrollees (ß, -6.44; 95% CI, -8.33 to -4.54). For other disorders, these rates were as follows: anxiety disorders (mean [SD] baseline, 12.24 [129.40] beneficiaries per 10 000 enrollees; ß, -5.28; 95% CI, -7.50 to -3.05), bipolar disorder (mean [SD] baseline, 3.32 [60.39] beneficiaries per 10 000 enrollees; ß, -1.81; 95% CI, -2.75 to -0.87), adjustment disorders (mean [SD] baseline, 12.14 [129.94] beneficiaries per 10 000 enrollees; ß, -6.78; 95% CI, -8.51 to -5.04), and PTSD (mean [SD] baseline, 4.93 [114.23] beneficiaries per 10 000 enrollees; ß, -2.00; 95% CI, -3.98 to -0.02). Over the same period, there was a 16- to 20-fold increase in telehealth service utilization; the rate of increase was lowest for bipolar disorder (mean [SD] baseline, 0.13 [16.72] beneficiaries per 10 000 enrollees; ß, 1.40; 95% CI, 1.04-1.76) and highest for anxiety disorders (mean [SD] baseline, 0.20 [9.28] beneficiaries per 10 000 enrollees; ß, 9.12; 95% CI, 7.32-10.92). When combining in-person and telehealth service utilization rates, an overall increase in care for MDD, anxiety, and adjustment disorders was observed over the period. Conclusions and Relevance: In this cohort study of US adults, we found that the COVID-19 pandemic was associated with a rapid increase in telehealth services for mental health conditions, offsetting a sharp decline in in-person care and generating overall higher service utilization rates for several mental health conditions compared with prepandemic levels.

Mental health of pregnant and postpartum women during the third wave of the COVID-19 pandemic: a European cross-sectional study.

OBJECTIVE: To describe the mental health of perinatal women in five European countries during the third pandemic wave and identify risk factors related to depressive and anxiety symptoms. DESIGN: A cross-sectional, online survey-based study. SETTING: Belgium, Norway, Switzerland, the Netherlands and the UK, 10 June 2021-22 August 2021. PARTICIPANTS: Pregnant and up to 3 months postpartum women, older than 18 years of age. PRIMARY OUTCOME MEASURE: The Edinburgh Depression Scale (EDS) and the Generalised Anxiety Disorder scale (GAD-7) were used to assess mental health status. Univariate and multivariate generalised linear models were performed to identify factors associated with poor mental health. RESULTS: 5210 women participated (including 3411 pregnant and 1799 postpartum women). The prevalence of major depressive symptoms (EDS ≥13) was 16.1% in the pregnancy group and 17.0% in the postpartum . Moderate to severe generalised anxiety symptoms (GAD ≥10) were found among 17.3% of the pregnant and 17.7% of the postpartum women. Risk factors associated with poor mental health included having a pre-existing mental illness, a chronic somatic illness, having had COVID-19 or its symptoms, smoking, unplanned pregnancy and country of residence. Among COVID-19 restrictive measures specific to perinatal care, pregnant and postpartum women were most anxious about not having their partner present at the time of delivery, that their partner had to leave the hospital early and to be separated from their newborn after the delivery. CONCLUSION: Approximately one in six pregnant or postpartum women reported major depression or anxiety symptoms during the third wave of the pandemic. These findings suggest a continued need to monitor depression and anxiety in pregnancy and postpartum populations throughout and in the wake of the pandemic. Tailored support and counselling are essential to reduce the burden of the pandemic on perinatal and infant mental health.

Comparing the centrality symptoms of major depressive disorder samples across junior high school students, senior high school students, college students and elderly adults during city lockdown of COVID-19 pandemic-A network analysis.

INTRODUCTION: Recently, in the view of network analysis, depression has been conceptualized as a complex and dynamic network model combining individual symptoms. To date, no studies have systematically examined and compared depressive symptom networks across different populations. METHODS: A total of 36,105 participants were recruited and asked to complete the Patient Health Questionnaire-9 among junior high school students, senior high school students, college students, and elderly adults who were more susceptible to depression during the COVID-19 lockdown in China. In the analysis, we applied the optimal cutoff score ≥ 8 for students and a score ≥ 6 for elderly adults to identify 5830 participants who were likely to be depressed. The index of "strength" was used to identify central symptoms in the network structure. RESULTS: The results showed that Sad Mood was the most central symptom among junior high school students, senior high school students, and college students, but the most central symptom in the elderly was Guilt. Among the top three central symptoms, Suicide Ideation was unique to senior high school students, while Anhedonia was most prevalent among college students. Guilt - Suicide Ideation, Anhedonia - Energy, Anhedonia - Sad Mood, and Sleep - Energy showed the strongest association among junior and senior high school students, college students, and elderly adults, respectively. NCT (i.e., Network Comparison Test) suggested that the network's global connectivity was ultimately inconsistent, but the network structure remained roughly intact. CONCLUSION: In treatment, targeting central symptoms may be critical to alleviating depression.

Development and validation of a machine learning-based vocal predictive model for major depressive disorder.

BACKGROUND: Variations in speech intonation are known to be associated with changes in mental state over time. Behavioral vocal analysis is an algorithmic method of determining individuals' behavioral and emotional characteristics from their vocal patterns. It can provide biomarkers for use in psychiatric assessment and monitoring, especially when remote assessment is needed, such as in the COVID-19 pandemic. The objective of this study was to design and validate an effective prototype of automatic speech analysis based on algorithms for classifying the speech features related to MDD using a remote assessment system combining a mobile app for speech recording and central cloud processing for the prosodic vocal patterns. METHODS: Machine learning compared the vocal patterns of 40 patients diagnosed with MDD to the patterns of 104 non-clinical participants. The vocal patterns of 40 patients in the acute phase were also compared to 14 of these patients in the remission phase of MDD. RESULTS: A vocal depression predictive model was successfully generated. The vocal depression scores of MDD patients were significantly higher than the scores of the non-patient participants (p < 0.0001). The vocal depression scores of the MDD patients in the acute phase were significantly higher than in remission (p < 0.02). LIMITATIONS: The main limitation of this study is its relatively small sample size, since machine learning validity improves with big data. CONCLUSIONS: The computerized analysis of prosodic changes may be used to generate biomarkers for the early detection of MDD, remote monitoring, and the evaluation of responses to treatment.

Major depressive episode in mothers during the COVID-19 pandemic: a population-based study in the Southern Brazil.

The COVID-19 pandemic has changed individuals and families, causing adverse psychological effects, especially in young adults, women, and parents. This study aimed to verify the prevalence of current major depressive episode (CMDE) in mothers of preschoolers (up to five years old) and its associated stressors during the COVID-19 pandemic in a municipality in the Southern Brazil. This is a cross-sectional, population-based study with mothers. All mothers were interviewed by telephone call during the COVID-19 pandemic. We used the Mini-International Neuropsychiatric Interview (M.I.N.I. Plus) to assess the presence of CMDE. Statistical analysis was conducted using the chi-square test and a multivariate logistic regression. We evaluated 666 mothers. The prevalence of CMDE was 12.3%. Mothers with financial losses had 2.1 (95%CI: 1.3-3.4) more odds of presenting CMDE than those financially stable. We observed that financial losses were determinant for the higher prevalence of depression in mothers.

Major Depression in Postpartum Women during the COVID-19 Pandemic: Can Social Support Buffer Psychosocial Risks and Substance Use?

Rates of mood disorders and substance use increased during the COVID-19 pandemic for postpartum women. The present study's aims were to: (1) examine the prevalence of major depressive disorder (MDD) in postpartum women during the COVID-19 pandemic, and (2) evaluate whether social support can buffer the associations between MDD, psychosocial factors (perceived stress, generalized anxiety, and intimate partner violence) and substance use (alcohol and drug use). A nationwide survey included 593 postpartum mothers (within 12 months from birth). Participants were assessed for a provisional diagnosis of MDD, and provided responses on validated instruments measuring stress, intimate partner violence, suicidal ideation, generalized anxiety, social support, and substance use. A hierarchical logistic regression model assessed the association of psychosocial factors and substance use with MDD. The final model shows that social support attenuates the association of MDD with perceived stress, alcohol use, and drug use, but does not buffer the relationship of MDD with anxiety or intimate partner violence. Social support was shown to significantly attenuate the effects of stress, alcohol use, and drug use on MDD, suggesting that the presence of a strong, supportive social network should be an area of increased focus for public health and healthcare professionals when caring for postpartum women.

Impact of COVID-19 on the lives and mental health of children and adolescents.

Student mental health is an integral part of the fight against disease, and health was an evolving concern during the spread of COVID-19. As the COVID-19 pandemic unfolds, physical distancing and social restrictions were introduced, and because of these, it was found a great impact on students' lives and their mental health. Adolescent mental health is focused on prevention, early detection, therapeutic innovation, and service development. In these circumstances, service providers can expand telemedicine Digital services that may help provide future mental health services to young people, particularly students. This study collects and analyzes data from students on the impact of these new online learning techniques, and by collecting and analyzing the challenges and issues faced by college students during the COVID-19 pandemic. The questionnaire was based on and extended the European Students' Union Survey and targeted higher education students concerning what student life looked like during the pandemic, including teaching and learning, their social contacts, habits/routines, as well as how they were coping with the situation emotionally and financially. The case of universities and distance learning education units in higher education during the COVID-19 pandemic process. This article highlighted the impact of COVID-19 on students of all ages and their time schedules such as online learning and reflection, study environment, sleep habits, routines, and outcomes. It was found that the students generally require greater self-discipline and motivation to complete online classes. It was also reflected that the pandemic adversely affected student mental health, leading to an increased prevalence of Major Depressive Disorder (MDD) and Generalized Anxiety Disorder (GAD). This may have a significant impact on their mental health issues such as frustration, stress, and sadness. This will significantly lead to cooperation between various local authorities and the private sector.