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.

Digital health literacy and subjective wellbeing in the context of COVID-19: A cross-sectional study among university students in Ecuador.

Background: The COVID-19 pandemic has generated an avalanche of information, which, if not properly addressed, generates uncertainty and limits healthy decision-making. On the other hand, the pandemic has exacerbated mental health problems among young people and adolescents, causing a worsening of their wellbeing. Previous studies have found that digital health literacy has a positive impact on people's attitudes toward the disease. This study aimed to analyze the association between digital health literacy on COVID-19 with subjective wellbeing in university students. Methods: A cross-sectional study was developed in 917 students from Ecuador. Subjective wellbeing was measured with the World Health Organization WellBeing Scale. Digital health literacy was assessed using the Spanish-translated version of the Digital Health Literacy Instrument adapted to the context of the COVID-19 pandemic. Bivariate and multivariate linear regressions were performed. Results: Digital health literacy and subjective wellbeing proofed to be significantly higher among males and among students with higher social status. The association between digital health literacy and subjective wellbeing was significant; for each increase of one point in the digital health literacy scale, an average increase of 9.64 points could be observed on the subjective wellbeing scale (IC 95% 5.61 - 13.67, p-value <0.001). This correlation persisted after adjust by demographic and socioeconomic variables. Conclusion: Improving digital health literacy in health would improve the subjective wellbeing of university students. It is suggested strengthen the digital health literacy through public and university policies that promote access, search skills and discernment of digital information. Socioeconomic and gender inequalities related to digital health literacy need to be further investigated.