RESUMEN

Cross-national studies in Europe reveal sharp regional differences in the prevalence of loneliness among older adults, with the highest prevalence of loneliness in Eastern European countries. In this study, we investigate an alternative explanation for differences in loneliness prevalence based on differences in trust. Many of the Eastern European countries were ruled by totalitarian regimes that undermined people's trust in other people and in the system, potentially leading to higher loneliness prevalence. Data are derived from the sixth round of the European Social Survey conducted in 2012, based on 12,042 respondents, of which 4827 live in post-totalitarian countries and 7215 in other European countries and Israel. We estimate a path model with trust in people, trust in the system, and social engagement included as latent variables and one dichotomous outcome (lonely or not). We control for age, gender, health limitations, marital status, income adequacy, and education. The results reveal that loneliness is partly constructed by the social-cultural and historical-political characteristics of the countries in which people live. The higher prevalence of loneliness in the Eastern-European post-totalitarian countries can be linked to a low level of trust in other people through social disengagement. Considering the role of trust in the creation of individuals feelings of loneliness contributes to the understanding of country variations in loneliness and opens a new perspective in loneliness research and the development of policies aimed at reducing loneliness.

RESUMEN

Research on migrant home care workers has focused mainly on working conditions in the recipient countries and on the relationships between care recipients and their family members. However, because migrant care workers often are transnational, going back and forth between countries, some return to their home country, bringing with them newly acquired attitudes and practices. Based on a theoretical model of the transfer of innovation, this study aims to explore changes in attitudes toward aging and elder care among former migrant care workers. We conducted 13 in-depth interviews with migrant care workers who permanently returned to Lithuania. Data were analyzed thematically. Findings revealed changes in workers' perceptions of aging, including perceptions of their own old age, older people, and elder care. These changes were mainly attributed to their personal connections and encounters with different cultural attitudes and practices in the host country. Our findings indicate that returning migrant home care workers may act as potential innovators who bring back to their home country new ideas about aging and elder care.

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RESUMEN

Ageism has been shown to have a negative impact on older people's health and wellbeing. Though multiple scales are currently being used to measure this increasingly important issue, syntheses of the psychometric properties of these scales are unavailable. This means that existing estimates of ageism prevalence may not be accurate. We conducted a systematic review aimed at identifying available ageism scales and evaluating their scope and psychometric properties. A comprehensive search strategy was used across fourteen different databases, including PubMed and CINAHL. Independent reviewers extracted data and appraised risk of bias following the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guidelines. Of the 29,664 records identified, 106 studies, assessing 11 explicit scales of ageism, were eligible for inclusion. Only one scale, the 'Expectations Regarding Aging' met minimum requirements for psychometric validation (i.e., adequate content validity, structural validity and internal consistency). Still, this scale only assesses the 'stereotype' dimension of ageism, thus failing to evaluate the other two ageism dimensions (prejudice and discrimination). This paper highlights the need to develop and validate a scale that accounts for the multidimensional nature of ageism. Having a scale that can accurately measure ageism prevalence is key in a time of increasing and rapid population ageing, where the magnitude of this phenomenon may be increasing.

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