Relationship between social exclusion and anxiety in older people during the COVID-19 pandemic

There is no association between anxiety and lifestyle in older adults during the COVID-19 pandemic: A cross-sectional study

Introduction and objective

The COVID-19 pandemic has caused mental health problems worldwide. Older people have been particularly affected by the lockdown as their health conditions have changed, although they have been kept in isolation to avoid exposure to contagion. We sought to determine the association between lifestyles and anxiety in older adults during the COVID-19 pandemic.

Materials and methods

This study was cross-sectional. We enrolled 150 older adults of both sexes and with a history of chronic diseases from the municipality of El Agustino (Lima, Peru). The 20-item Geriatric Anxiety Scale and the 25-item Lifestyle Questionnaire on eating, physical activity, rest, and sleep were administered in Spanish during July-August 2021.

Results

The mean age was 70.8 ± 8.1 years, 54.7% were male, and 75.3% practiced exercise. During the COVID-19 pandemic, 99.3% of the elderly had healthy lifestyles and 40% presented anxiety (mild, moderate, and severe anxiety in 26.7%, 8.7%, and 4.7%, respectively). We found no association between anxiety and lifestyle (p = 0.189), physical exercise was a predictor of lifestyle (p < 0.001) and we did not find predictors of anxiety symptoms (p > 0.05).

Conclusions

Our results suggest that there was no link between anxiety symptoms and lifestyle in older adults during the lockdown. It is important to conduct in-depth research on factors associated with anxiety symptoms among older residents in other regions, focusing on population groups with the highest rates of infection and death from COVID-19.

Sociodemographic Differences in COVID-19 Self-Reported Symptoms by Ethnicity and Older Adults in Bolivia

The effects of COVID-19 revealed the fragility of health systems in the LAC region, with greater risk of death in older people than in younger people, as well as greater vulnerability to infection due to living with people aged 30–59 years, who have a higher prevalence of COVID-19. On the other hand, there is not much information on inequalities in the incidence of COVID-19 in indigenous people, a population with lower immunological resistance. The objectives are: 1) To determine the association between sociodemographic variables with self-reported COVID-19 symptoms. 2) To investigate whether this relationship shows inequalities by ethnicity and age. For that purpose I conducted a cross-sectional analysis using the 2020 Household Survey and investigated the association between sociodemographic variables and self -reported COVID-19 symptoms and explore the contribution of factors such as employment type, household living arrangements, years of education, age, ethnicity, gender, current status of working and residence area. I performed bivariate analysis to establish trends. Subsequently using logistic regressions to establish the risks to self-reported COVID-19 symptoms. A fully interacted model is analysed by ethnicity. I found those who were living alone were less likely than those living in a Couple with/without relatives’ household arrangement to self-reported COVID-19 symptoms (OR = 0.79, 95% CI: 0.66–0.94, p < .01). Odds of the older persons aged 45–59 (OR = 1.44, 95% CI: 1.27–1.62, p < .05) were relatively more likely than younger people (OR = 1.19, 95% CI: 1.05–1.35, p < .01). Indigenous living in a couple with/without children household arrangement were less likely than non-Indigenous (OR = 0.75, 95% CI: 0.62–0.90, p < .01). Odds of Indigenous people of age 30–44 (OR = 1.26, 95% CI: 1.04–1.53, p < .01) were more likely than non-Indigenous. Odds of Indigenous persons of age 45–59 (OR = 1.59, 95% CI: 1.32–1.91, p < .05) were more likely than non-Indigenous (OR = 1.32, 95% CI: 1.12–1.55, p < .01). As conclusions, 45–59 age group shows higher risk factors and those aged 60 + show lower risks. These are increased in people working in managerial, administrative and professional, and technical positions, those living in a household with/without relatives, men, those living in urban areas, and/or non-indigenous people.