Family and community social networks act as social resources that promote well-being at advanced ages. In this study, we analyze the association between social support received from personal social networks (social support from various family members and friends) and community social networks (social support from neighbors and the neighborhood, age, ethnic, or religious group peers and formal social support networks) and quality of life (QoL) for a sample of older Chilean persons (n = 777). The results confirm that social support from family (partner, children, and extended family) and friends, integration in the community (neighbors) and social support from informal systems (social groups) are associated with QoL. Moreover, the model including both types of support explains 25.8% of variance in QoL. The results and their possible implications are discussed.

Recent evidence regarding the relationship between social support and depression in elderly people shows the important role of ethnicity. This research describes the characteristics of social support in a sample of elderly people aged 60 and above living in northern Chile (n = 493), and analyzes the differences in the relationship between social support and depression between an indigenous group (Aymara population, n = 147) and a nonindigenous group (white, Caucasian, mestizo, n = 346). Various dimensions of social support were considered: structural elements, functional social support according to source, and community participation. The results show the existence of significant differences in the characteristics and dimensions of social support depending on sex, ethnicity, and marital status. Further, the central role of the family group is observed for both Aymara and nonindigenous elderly people. The hierarchical regression models obtained result in notable differences in the role of the structural, functional, and community elements of support in explaining depression for the ethnic groups considered.

Background: The association between socioeconomic status and depression is weaker in older adults than in younger populations. Loneliness may play a significant role in this relationship, explaining (at least partially) the attenuation of the social gradient in depression. The current study examined the relationship between socioeconomic status and depression and whether the association was affected by loneliness. Methods: A cross-sectional design involving dwelling and nursing homes residents was used. A total of 887 Spanish residents aged over 64 years took part in the study. Measures of Depression (GDS-5 Scale), Loneliness (De Jong-Gierveld Loneliness Scale), Socioeconomic Status (Education and Economic Hardship), and sociodemographic parameters were used. The study employed bivariate association tests (chi-square and Pearson’s r) and logistic regression analyses. Results: The percentage of participants at risk of suffering depression was significantly higher among those who had not completed primary education (45.5%) and significantly lower among those with university qualifications (16.4%) (X² = 40.25;p <.001), and respondents who could not make ends meet in financial terms faced a higher risk of depression (X² = 23.62;p <.001). In terms of the respondents who experienced loneliness, 57.5% were at risk of depression, compared to 19% of those who did not report loneliness (X² = 120.04;p <.001). The logistic regression analyses showed that having university qualifications meant a 47% reduction in the risk of depression. This risk was 86% higher among respondents experiencing financial difficulties. However, when scores for the loneliness measure were incorporated, the coefficients relating to education and economic hardships ceased to be significant or were significantly reduced. Conclusion: Loneliness can contribute to explaining the role played by socioeconomic inequalities in depression among older adults.

This study analysed the association between income inequality and depression from a multilevel perspective among older adults in Europe, including an examination of the role of social support. The data came from Eurostat’s European Health Interview Survey (EHIS). Selected participants were aged 65 years or above (n = 68,417) and located in 24 European countries. The outcome variable (depression) was measured using the eight-item Patient Health Questionnaire (PHQ-8). The resulting dataset included individual-level (level-1) and aggregate-level (level 2) exposure variables. Level-1 included income quintiles and social support as exposure variables and sex, age, living alone, limitation in activities of daily living and general activity limitation as control variables. Level 2 included the Gini coefficient, healthcare expenditure and dependency ratio. A multilevel linear regression analysis was performed with maximum likelihood (ML) estimation. All the income quintiles from 1 to 4 showed higher average scores for depression than quintile 5 (the highest). Higher social support scores were associated with lower scores for depression. An interaction was found between income quintile and social support, with higher levels of social support associated with lower scores for depression in quintiles 1 and 2. Higher Gini coefficient scores were associated with higher scores for depression. A significative random slope for social support was also found, meaning that the relationship between social support and depression differed across countries. No significant interaction was found between the Gini coefficient and social support. The study findings suggest that more unequal societies provide a less favourable context for the mental health of older adults. There are also significant country-dependent differences in terms of the relationship between support and mental health among older adults.

The global COVID-19 pandemic situation has shown the vulnerability of the population. Spain has been one of the most affected countries, given the health, social and economic repercussions. Being resilient and having the ability to adapt allows one to positively face the pandemic. In this essay, a quantitative study was conducted using a social media survey. In total, 3342 respondents participated in this survey. A number of resilience-related variables are analysed using a linear regression model. Furthermore, the potential inclusion of resilience as a transversal skill that can be used at the individual, family and community levels is also discussed.

There is a growing body of evidence on the effects of subjective aging on health, well-being and quality of life. This review aims to synthesize findings about the link between subjective aging and cognition and cognitive decline. Furthermore, it provides an examination of variation sources such as subjective aging construct, cognitive domains, measures employed, age and moderator variables. A systematic search was performed in PubMed, PsychInfo and Web of Science, as well as grey literature searches in Google Scholar, OpenGrey, WorldCat and NDLTD, which resulted in 59 reports being included. Subjective aging is a relevant construct in the explanation and prediction of cognitive aging and cognitive decline in elderly adults. More positive views about own aging and self-perceptions of aging, as well as a younger subjective age, were consistently related to better cognition and lower risk of cognitive decline. However, there were differences due to subjective aging subdimensions and cognitive domains, as well as an effect of age. Additionally, there were concerns about the content validity of some measures employed, such as the Philadelphia Geriatric Center Morale Scale for subjective aging and the Mini Mental State Examination for global cognition. Further studies should employ longitudinal designs with a process-based approach to cognition and precise subjective aging measures.