Social Inequalities in Mental Health and Self-Perceived Health in the First Wave of COVID-19 Lockdown in Latin America and Spain: Results of an Online Observational Study.

COVID-19 lockdowns greatly affected the mental health of populations and collectives. This study compares the mental health and self-perceived health in five countries of Latin America and Spain, during the first wave of COVID 19 lockdown, according to social axes of inequality. This was a cross-sectional study using an online, self-managed survey in Brazil, Chile, Ecuador, Mexico, Peru, and Spain. Self-perceived health (SPH), anxiety (measured through GAD-7) and depression (measured through PHQ-9) were measured along with lockdown, COVID-19, and social variables. The prevalence of poor SPH, anxiety, and depression was calculated. The analyses were stratified by gender (men = M; women = W) and country. The data from 39,006 people were analyzed (W = 71.9%). There was a higher prevalence of poor SPH and bad mental health in women in all countries studied. Peru had the worst SPH results, while Chile and Ecuador had the worst mental health indicators. Spain had the lowest prevalence of poor SPH and mental health. The prevalence of anxiety and depression decreased as age increased. Unemployment, poor working conditions, inadequate housing, and the highest unpaid workload were associated with worse mental health and poor SPH, especially in women. In future policies, worldwide public measures should consider the great social inequalities in health present between and within countries in order to tackle health emergencies while reducing the health breach between populations.

Determinants of self-reported health status during COVID-19 lockdown among surveyed Ecuadorian population: A cross sectional study.

OBJECTIVE: To examine the associations of sociodemographic, socioeconomic, and behavioral factors with depression, anxiety, and self-reported health status during the COVID-19 lockdown in Ecuador. We also assessed the differences in these associations between women and men. DESIGN, SETTING, AND PARTICIPANTS: We conducted a cross-sectional survey between July to October 2020 to adults who were living in Ecuador between March to October 2020. All data were collected through an online survey. We ran descriptive and bivariate analyses and fitted sex-stratified multivariate logistic regression models to assess the association between explanatory variables and self-reported health status. RESULTS: 1801 women and 1123 men completed the survey. Their median (IQR) age was 34 (27-44) years, most participants had a university education (84%) and a full-time public or private job (63%); 16% of participants had poor health self-perception. Poor self-perceived health was associated with being female, having solely public healthcare system access, perceiving housing conditions as inadequate, living with cohabitants requiring care, perceiving difficulties in coping with work or managing household chores, COVID-19 infection, chronic disease, and depression symptoms were significantly and independently associated with poor self-reported health status. For women, self-employment, having solely public healthcare system access, perceiving housing conditions as inadequate, having cohabitants requiring care, having very high difficulties to cope with household chores, having COVID-19, and having a chronic disease increased the likelihood of having poor self-reported health status. For men, poor or inadequate housing, presence of any chronic disease, and depression increased the likelihood of having poor self-reported health status. CONCLUSION: Being female, having solely public healthcare system access, perceiving housing conditions as inadequate, living with cohabitants requiring care, perceiving difficulties in coping with work or managing household chores, COVID-19 infection, chronic disease, and depression symptoms were significantly and independently associated with poor self-reported health status in Ecuadorian population.

What are the effects of energy poverty and interventions to ameliorate it on people's health and well-being?: A scoping review with an equity lens

Several studies have shown how energy poverty (EP) increases morbidity and mortality, being a growing problem worldwide. We conducted a scoping review to synthesize the state of knowledge on the relationship between energy poverty (EP) and health, analysing the results according to different axes of inequality (gender, age, ethnicity/country of birth, social class, territory). We searched different bibliographic databases (MeSH and free-text terms);Eligibility criteria: 1] studies or interventions related to EP or its different expressions (inadequate temperatures;financial strain, inadequate housing conditions, composite indicators, heating and energy efficiency improvements);2] health or health risk outcomes;3] OECD countries;4] English or Spanish language;5] published before July 2020. We selected 38 studies out of 2768 (23 observational and 15 interventions). Almost all were quantitative (89.5%) and almost half were conducted in the UK (47.4%). The most studied EP expression was inadequate temperature. Eleven studies disaggregate the analyses by at least one axis of inequality and 21 target a vulnerable group. The studies linked EP to poorer general health, poorer mental health, poorer respiratory health, more and worse controlled chronic conditions, higher mortality, higher use of health services and higher exposure to health risks, with worse results for vulnerable groups across dimensions of inequality. Current scientific evidence should guide structural changes and immediate interventions to ameliorate EP. Future research must take into account the effects of inadequate warm temperatures and social inequalities, especially in the current context of climate and social crisis, the latter being exacerbated by the covid-19 pandemic.

Investigating regional excess mortality during 2020 COVID-19 pandemic in selected Latin American countries.

In this paper, we measure the effect of the 2020 COVID-19 pandemic wave at the national and subnational levels in selected Latin American countries that were most affected: Brazil, Chile, Ecuador, Guatemala, Mexico, and Peru. We used publicly available monthly mortality data to measure the impacts of the pandemic using excess mortality for each country and its regions. We compare the mortality, at national and regional levels, in 2020 to the mortality levels of recent trends and provide estimates of the impact of mortality on life expectancy at birth. Our findings indicate that from April 2020 on, mortality exceeded its usual monthly levels in multiple areas of each country. In Mexico and Peru, excess mortality was spreading through many areas by the end of the second half of 2020. To a lesser extent, we observed a similar pattern in Brazil, Chile, and Ecuador. We also found that as the pandemic progressed, excess mortality became more visible in areas with poorer socioeconomic and sanitary conditions. This excess mortality has reduced life expectancy across these countries by 2-10 years. Despite the lack of reliable information on COVID-19 mortality, excess mortality is a useful indicator for measuring the effects of the coronavirus pandemic, especially in the context of Latin American countries, where there is still a lack of good information on causes of death in their vital registration systems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41118-021-00139-1.