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Objectives: One’s personal social network constitutes a contextual framing factor for late-life cognitive function. This study examined the association between network type at baseline and changes in three cognitive measures: immediate recall, delayed recall, and fluency, two years hence, among Europeans aged 50 and older. Participants: Data were taken from Waves four and five of the Survey of Health, Ageing, and Retirement in Europe of adults aged 50 and above (N = 50,071). Measurements: The latent class analysis was applied to a set of criterion variables. The procedure yielded five distinct network types: multi-tie (6%), family-rich (23%), close-family (49%), family-poor (12%), and friend-enhanced (10%). The network types were then regressed on the cognition measures at follow-up, controlling for the respective baseline cognition scores, as well as for age, gender, education, self-rated health, mobility difficulty, and country. Results: Respondents in family-poor network types had poorer cognition scores at follow-up, compared to those in the modal close-family network, while those in multi-tie networks had consistently better scores. The family-rich network and the friend-enhanced network also had a somewhat better cognitive function. Conclusions: Having varied sources of network ties, e.g. friendship ties and/or several types of family relationships, is beneficial to the cognitive health of older adults over time. Networks based mainly on ties with relatives other than spouse and children, on the other hand, have poorer cognitive outcomes. Older people in this latter group face an increased risk for cognitive decline and should receive assistance in enhancing their interpersonal environments.

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Minority groups are especially vulnerable to the negative psychological and economic consequences of the COVID-19 pandemic. This study focused on one prominent minority group in Israel: ultra-Orthodox Jews. It examined the rate of exposure to COVID-19, adherence to COVID-19 mitigation guidelines, difficulties with adherence to COVID-19 guidelines, COVID-related concerns, financial hardships, the need for help, and microaggression during the first wave of the pandemic (April–May 2020). It then examined multivariate prediction of COVID-related concerns, the need for help, and microaggression. The sample comprised 252 respondents, with 67% female and a mean age of 32.85 (SD = 10.63). Results showed that 78.8% of the participants knew at least one person who had tested positive for COVID-19, and 31.4% knew at least one person who had passed away from COVID-19. Only 59.7% of the participants reported high adherence to social distancing guidelines. Perceived microaggression was predicted by the difficulties with adherence to COVID-19 guidelines, the level of stress associated with exposure to the media, and financial hardships. The study’s implications point to the centrality of perceived microaggression and the necessity of adopting culturally sensitive approaches to engage minorities in public efforts to fight the spread of viruses.

Background and Objectives To clarify whether awareness of the extent and severity of exposure to the coronavirus disease 2019 (COVID-19) virus in the social networks of older adults is related to the engagement by the latter in self-protective behaviors. The inquiry is guided by the Health Belief Model and by concepts from the domain of social networks. Research Design and Methods Data from the Survey of Health, Ageing and Retirement in Europe (SHARE) were used, including the SHARE COVID-19 Survey executed in the summer of 2020. The study sample numbered 33,053 persons aged 50 and older in 25 countries. We regressed a logged count of self-protective behaviors on network-exposure severity, controlling for sociodemographic background, country, personality traits, and self-exposure severity. Age and network-exposure interaction terms were examined, as were "close-family" and "other" network ties. Results Network-exposure severity was positively associated with the extent of engagement in self-protective behaviors among older adults, but mainly among the oldest group, aged 70 and older. Awareness of exposure severity in "close-family" and "other" networks were similarly associated with self-protection. Respondents from countries with the lowest rates of COVID-19 infection at the time (Latvia, Finland, and Denmark) engaged in fewer self-protective behaviors, while those from countries with high infection rates (Spain, Italy, and Portugal), self-protected to a greater degree. Discussion and Implications The study findings point to the role of the social network, even if indirect, in promoting self-protective behaviors among the oldest segment of society. Policymakers should collaborate with the social networks of older adults in order to promote the adoption of self-protective behaviors. Such intervention might help to reduce the threat of infection among the most vulnerable age group.

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The present study investigated the changes that occurred within the interpersonal environments of a sample of socially isolated older Europeans after four years. Based upon data from the Survey of Health, Ageing and Retirement in Europe (SHARE), the inquiry looked at 834 older people who were socially detached at baseline, at follow-up or at both time-points. The analysis traced changes in relation to the social network types that they acquired or left. The findings indicate that respondents more frequently moved from no-network status at baseline to close family-based social network types at follow-up than to other network types. In comparison, the loss of a network at follow-up was seen to originate from close networks and from other network types alike. Multivariate analysis revealed that those who moved from socially detached status to close-family networks had fewer depressive symptoms compared to those who moved to other network types. However, the move from a close-family network to the no-network status was about as depressing as was being chronically isolated. The effects of network transitions were more varied in relation to the life satisfaction outcome. In sum, the findings suggest that a transition out of social isolation in late life is possible and it may be beneficial as well.

Using data from the Survey of Health, Ageing and Retirement in Europe, we regressed three well-being measures (CASP, life satisfaction and Euro-D depressive symptoms) on indicators of personality and social network. Personality was indicated by the Big-Five personality traits, while social network was measured in terms of size, contact frequency and emotional closeness. The analysis also considered personality—network interactions, controlling for confounders. The sample was comprised of 35,145 adults, aged 50 and older, from 24 European countries and Israel. The results revealed that the personality traits explained more variance in the well-being outcomes than the social network characteristics did. However, the interactions showed that the social network characteristics, particularly size and mean emotional closeness, offset the effects of dysfunctional personality attributes on subjective well-being in late life. Hence, social network characteristics were shown to modify the potentially ill effects of personality on key well-being indicators.