Predictors of Depression and Anxiety Symptoms in Brazil during COVID-19

A systematic review on the relationship between socioeconomic conditions and emotional disorder symptoms during Covid-19: unearthing the potential role of economic concerns and financial strain

BACKGROUND

Covid-19 has disrupted the lives of many and resulted in high prevalence rates of mental disorders. Despite a vast amount of research into the social determinants of mental health during Covid-19, little is known about whether the results are consistent with the social gradient in mental health. Here we report a systematic review of studies that investigated how socioeconomic condition (SEC)-a multifaceted construct that measures a person's socioeconomic standing in society, using indicators such as education and income, predicts emotional health (depression and anxiety) risk during the pandemic. Furthermore, we examined which classes of SEC indicators would best predict symptoms of emotional disorders.

METHODS

Following PRISMA guidelines, we conducted search over six databases, including Scopus, PubMed, etc., between November 4, 2021 and November 11, 2021 for studies that investigated how SEC indicators predict emotional health risks during Covid-19, after obtaining approval from PROSPERO (ID: CRD42021288508). Using Covidence as the platform, 362 articles (324 cross-sectional/repeated cross-sectional and 38 longitudinal) were included in this review according to the eligibility criteria. We categorized SEC indicators into 'actual versus perceived' and 'static versus fluid' classes to explore their differential effects on emotional health.

RESULTS

Out of the 1479 SEC indicators used in these 362 studies, our results showed that 43.68% of the SEC indicators showed 'expected' results (i.e., higher SEC predicting better emotional health outcomes); 51.86% reported non-significant results and 4.46% reported the reverse. Economic concerns (67.16% expected results) and financial strains (64.16%) emerged as the best predictors while education (26.85%) and living conditions (30.14%) were the worst.

CONCLUSIONS

This review summarizes how different SEC indicators influenced emotional health risks across 98 countries, with a total of 5,677,007 participants, ranging from high to low-income countries. Our findings showed that not all SEC indicators were strongly predictive of emotional health risks. In fact, over half of the SEC indicators studied showed a null effect. We found that perceived and fluid SEC indicators, particularly economic concerns and financial strain could best predict depressive and anxiety symptoms. These findings have implications for policymakers to further understand how different SEC classes affect mental health during a pandemic in order to tackle associated social issues effectively.

COVID and depression among stratified population groups: a narrative review

The Covid-19 pandemic has impacted and infiltrated every aspect of our lives. Successive lockdowns, social distancing measures, and reduction in economic activity have developed a new way of living and, in many cases, tend to lead to depression. The initial strict lockdown for about 3 months and eventually for a few more months has imposed greater challenges on children and adolescents in terms of psychological problems and psychiatric disorders. Regardless of their viral infection status, many people have been affected by the psychosocial changes associated with the Covid-19 pandemic. In the present review, we have attempted to evaluate the impact of COVID on the mental health of people from different age groups and occupations. The present review has highlighted the need for taking effective measures by the stakeholder to cope with depression among human population groups worldwide.

Telenursing in mental health: effect on anxiety symptoms and alcohol consumption during the COVID-19 pandemic

OBJECTIVE

(1) A remote intervention with a positive impact on reducing anxiety and alcohol use. (2) Nursing as a protagonist of preventive care in mental health (3) A low-cost intervention that covers several population groups. (4) Telenursing in mental health as a care strategy during COVID-19. to investigate the effect of a remote intervention on anxiety symptoms and alcohol use in users of the Primary Health Care service.

METHOD

a quasi-experimental study conducted with 1,270 participants who answered the Alcohol Use Disorders Identification Test and the State-Trait Anxiety Inventory-6. Of these, 1,033 interviewees scored for moderate/severe anxiety symptoms (STAI-6 > 3) and moderate/severe risk alcohol use (AUDIT-C > 3), and received the interventions via telephone calls with follow-up periods lasting seven and 180 days. For data analysis, a mixed-effects regression model was used.

RESULTS

the effect of the intervention performed was positive in reducing anxiety symptoms between T0 and T1 (µ=1.6, p<0.001) and in reducing the alcohol use pattern between T1 and T3 (µ=1.57, p<0.001).

CONCLUSION

the follow-up results suggest a positive effect of the intervention in reducing anxiety and the alcohol use pattern, which tends to be maintained over time. There is diverse evidence that the intervention proposed can be an alternative for preventive care in mental health, in situations where accessibility of the user or the professional is compromised.

Burden and psychological symptoms on informal caregivers of the elderly in the COVID-19 pandemic

OBJECTIVE

To evaluate the burden and psychological symptoms of informal caregivers of the elderly during the COVID-19 pandemic.

METHOD

Cross-sectional study with 50 caregivers from the Gerontology Outpatient Clinic in the interior of São Paulo, evaluated in 2021 via teleconsultation by the Hospital Anxiety and Depression Scale and the Zarit-Brief Burden Interview. Poisson's multivariate regression was applied to the two instruments scores according to the set of characteristics of the participants.

RESULTS

Psychological symptoms were highlighted in caregivers with longer time in exercise (p=0.01; p=0.001) and who lived in the same environment with the elderly (p=0.04; p=0.02). Burden was associated with age (p<0.001) and living with the elderly (p=0.001).

CONCLUSION

There is a need for interventions that attenuate psychological symptoms and burden in older caregivers, who live with the elderly and have been working for a longer time.

Covid-19 Outbreak in Brazil: Health, Social, Political, and Economic Implications

COVID-19 outbreak quickly spread to all corners of the globe. In Brazil, the outbreak was particularly frightening because it worsened existing health, political, economic, and social problems. The results already observed show the contagion ripple-spreading process across the country, causing the death of thousands of people each day and counting, added to a very serious wave of unemployment, scientific denial, and social precariousness. Based on this, this study reviews recent research that looked at the role of the government, the Brazilian health system, and the main economic and social impacts fostered by the pandemic. We perform a scoping review according to the PRISMA-ScR to structure the qualitative synthesis of the 67 associated documents. The results reinforce the negative effects of the country's mismanagement and its consequent impacts on the Brazilian economy and society. The battleground against COVID-19 has fueled political tensions, shaken the health system, and unleashed social despair tinged with thousands of deaths. Finally, in the present scoping review, we discuss concerns about the impacts of the COVID-19 outbreak in Brazil and what the world hopes the country has learned from the current crisis.

Mental Health Impact of the COVID-19 Pandemic on Mexican Population: A Systematic Review

The COVID-19 pandemic has had an impact on mental health in the general population, but no systematic synthesis of evidence of this effect has been undertaken for the Mexican population. Relevant studies were identified through the systematic search in five databases until December, 2021. The selection of studies and the evaluation of their methodological quality were performed in pairs. The Newcastle-Ottawa Scale (NOS) was used for study quality appraisal. The protocol of this systematic review was registered with PROSPERO (protocol ID: CRD42021278868). This review included 15 studies, which ranged from 252 to 9361 participants, with a total of 26,799 participants. The findings show that COVID-19 has an impact on the Mexican population’s mental health and is particularly associated with anxiety, depression, stress and distress. Females and younger age are risk factors for development mental health symptoms. Mitigating the negative effects of COVID-19 on mental health should be a public health priority in Mexico.

Mental health symptoms during the COVID-19 pandemic in developing countries: A systematic review and meta-analysis

Background

This systematic review aims to 1) summarize the prevalence of anxiety, depression, distress, insomnia, and PTSD in the adult population during the first year of the COVID pandemic in developing countries and 2) uncover and highlight the uneven distribution of research on mental health in all developing countries across regions.

Methods

Several literature databases were systemically searched for meta-analyses published by September 22, 2021, on the prevalence rates of mental health symptoms in developing countries worldwide. We meta-analysed the raw data of the individual empirical results from the previous meta-analysis papers in developing countries in different regions.

Results

The prevalence rates of mental health symptoms were summarized based on 341 empirical studies with a total of 1 704 072 participants from 40 out of 167 developing countries in Africa, Asia (East, Southeast, South, and West), Europe, and Latin America. Comparatively, Africa (39%) and West Asia (35%) had the worse overall mental health symptoms, followed by Latin America (32%). The prevalence rates of overall mental health symptoms of medical students (38%), general adult students (30%), and frontline health care workers (HCWs) (27%) were higher than those of general HCWs (25%) and general populations (23%). Among five mental health symptoms, distress (29%) and depression (27%) were the most prevalent. Interestingly, people in the least developing countries suffered less than those in emergent and other developing countries. The various instruments employed lead to result heterogeneity, demonstrating the importance of using the well-established instruments with the standard cut-off points (eg, GAD-7, GAD-2, and DASS-21 for anxiety, PHQ-9 and DASS-21 for depression, and ISI for insomnia).

Conclusions

The research effort on mental health in developing countries during COVID-19 has been highly uneven in the scope of countries and mental health outcomes. This meta-analysis, the largest on this topic to date, shows that the mental health symptoms are highly prevalent yet differ across regions. The accumulated systematic evidence from this study can help enable the prioritization of mental health assistance efforts to allocate attention and resources across countries and regions.

Mental disorder symptoms during the COVID-19 pandemic in Latin America - a systematic review and meta-analysis

AIMS

There is a lack of evidence related to the prevalence of mental health symptoms as well as their heterogeneities during the coronavirus disease 2019 (COVID-19) pandemic in Latin America, a large area spanning the equator. The current study aims to provide meta-analytical evidence on mental health symptoms during COVID-19 among frontline healthcare workers, general healthcare workers, the general population and university students in Latin America.

METHODS

Bibliographical databases, such as PubMed, Embase, Web of Science, PsycINFO and medRxiv, were systematically searched to identify pertinent studies up to August 13, 2021. Two coders performed the screening using predefined eligibility criteria. Studies were assigned quality scores using the Mixed Methods Appraisal Tool. The double data extraction method was used to minimise data entry errors.

RESULTS

A total of 62 studies with 196 950 participants in Latin America were identified. The pooled prevalence of anxiety, depression, distress and insomnia was 35%, 35%, 32% and 35%, respectively. There was a higher prevalence of mental health symptoms in South America compared to Central America (36% v. 28%, p < 0.001), in countries speaking Portuguese (40%) v. Spanish (30%). The pooled prevalence of mental health symptoms in the general population, general healthcare workers, frontline healthcare workers and students in Latin America was 37%, 34%, 33% and 45%, respectively.

CONCLUSIONS

The high yet heterogenous level of prevalence of mental health symptoms emphasises the need for appropriate identification of psychological interventions in Latin America.

Predicting the Severity of Lockdown-Induced Psychiatric Symptoms with Machine Learning

During the COVID-19 pandemic, an increase in the incidence of psychiatric disorders in the general population and an increase in the severity of symptoms in psychiatric patients have been reported. Anxiety and depression symptoms are the most commonly observed during large-scale dramatic events such as pandemics and wars, especially when these implicate an extended lockdown. The early detection of higher risk clinical and non-clinical individuals would help prevent the new onset and/or deterioration of these symptoms. This in turn would lead to the implementation of public policies aimed at protecting vulnerable populations during these dramatic contingencies, therefore optimising the effectiveness of interventions and saving the resources of national healthcare systems. We used a supervised machine learning method to identify the predictors of the severity of psychiatric symptoms during the Italian lockdown due to the COVID-19 pandemic. Via a case study, we applied this methodology to a small sample of healthy individuals, obsessive-compulsive disorder patients, and adjustment disorder patients. Our preliminary results show that our models were able to predict depression, anxiety, and obsessive-compulsive symptoms during the lockdown with up to 92% accuracy based on demographic and clinical characteristics collected before the pandemic. The presented methodology may be used to predict the psychiatric prognosis of individuals under a large-scale lockdown and thus supporting the related clinical decisions.

Sobrecarga e sintomas psicológicos em cuidadores informais de idosos na pandemia da COVID-19

RESUMO Objetivo Avaliar sobrecarga e sintomas psicológicos dos cuidadores informais de idosos durante a pandemia da COVID-19. Método Estudo transversal com 50 cuidadores do Ambulatório de Gerontologia do interior de São Paulo, avaliados em 2021 via teleconsulta pela Escala Hospitalar de Ansiedade e Depressão e Entrevista de Sobrecarga de Zarit. A Regressão multivariada de Poisson foi aplicada nos escores dos dois instrumentos em função do conjunto de características dos participantes. Resultados Destacaram-se os sintomas psicológicos nos cuidadores com maior tempo em exercício (p=0,01; p=0,001) e que viviam no mesmo ambiente que o idoso (p=0,04; p=0,02). A sobrecarga associou-se com sua idade (p<0,001) e morar junto ao idoso (p=0,001). Conclusão Urgem intervenções atenuantes dos sintomas psicológicos e de sobrecarga nos cuidadores com idade avançada, que residem junto ao idoso e desempenham a função há maior tempo.