Socioeconomic status, loneliness, and depression among older adults: a cross-sectional study in Spain.

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.

[Social support in the short- and middle-term prediction of welfare volunteers' permanence]. / El apoyo social en la predicción a corto y medio plazo de la permanencia del voluntariado socioasistencial.

This work explores the significance of different types and sources of social support in the short- and middle-term prediction of volunteer permanence. Volunteers ( N = 1362) belonging to 109 different Spanish organizations were surveyed to gather social support data and other information related to factors traditionally associated with sustained volunteerism prediction. In spite of the fact that a relationship between social support and permanence was found, logistic regression analysis showed that social support variables did not appear to be relevant to make this kind of prediction at short term, because the only factors associated with volunteers' permanence in the multivariate model obtained were the volunteers' previous time in the organization, their intention of remaining in service, and their sex and religious attitudes. In contrast, at middle term, social support and, in particular, informational social support from other volunteers was significant, integrating the multivariate model with the other aforementioned factors, except for sex.

Social psychology of mental health: the social structure and personality perspective.

Previous research has revealed a persistent association between social structure and mental health. However, most researchers have focused only on the psychological and psychosocial aspects of that relationship. The present paper indicates the need to include the social and structural bases of distress in our theoretical models. Starting from a general social and psychological model, our research considered the role of several social, environmental, and structural variables (social position, social stressors, and social integration), psychological factors (self-esteem), and psychosocial variables (perceived social support). The theoretical model was tested working with a group of Spanish participants (N = 401) that covered a range of social positions. The results obtained using structural equation modeling support our model, showing the relevant role played by psychosocial, psychological and social, and structural factors. Implications for theory and intervention are discussed.