Publications by authors named "Michal Levinsky"

Introduction: The present study examined the relationships of Lifetime Cumulative Adversity (LCA) and country inequalities, as well as the interactions between them, with the self-rated health (SRH) in old age.

Methods: Using data from the Survey of Health, Aging and Retirement in Europe (SHARE), the study regressed self-rated health on Lifetime Cumulative Adversity and country-level inequality indices across European countries in two points in time. The analysis also considered adversity-inequality interactions, controlling for confounders.

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Objective: The COVID-19 pandemic has been associated with a range of negative responses, including emotional distress, as well as with positive changes, such as posttraumatic growth (PTG). Among the vulnerability factors the literature lists SES and being part of a minority group. The aim of this study is to identify patterns of responses among the ultra-Orthodox Jewish society in Israel, in terms of both emotional distress (anxiety and depression) and multiple dimensions of PTG.

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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.

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Unlabelled: The aim of the study was to clarify whether personality traits predict the structure, function and quality of egocentric confidant networks in later life. Data were drawn from Waves 7 and 8 of the Survey of Health, Ageing and Retirement in Europe (SHARE) ( = 39,172) We regressed network size, contact frequency and network satisfaction on the Big-5 personality traits, using a single path analysis structure, controlling for country, sociodemographic background and health status. The findings showed that the personality traits were related to the social network outcomes, but their effect was modest and less predictive than the contextual factors.

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Background: Although several studies have demonstrated the associations between lifetime cumulative adversity and late-life physical health, many of them were conducted at a single time point and examined events that occurred in childhood only. Less is known about the effect of lifelong adversity on the aging process over time. This study aimed to investigate the impact of cumulative adversity on the accelerated deterioration in health over time - mobility limitation and self-rated state of health in old age.

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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).

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Background And Objectives: To clarify whether awareness of the extent and severity of exposure to the coronavirus disease 2019 (COVID-19) 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.

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Article Synopsis
  • The article investigates how social networks affect mental health after the COVID-19 outbreak, focusing on depression and anxiety levels.
  • It analyzes data from a 2020 survey linked to earlier health data, examining the effects of in-person and electronic contacts on mental health changes while controlling for other factors.
  • The results indicate that in-person social interactions helped reduce mental health decline, whereas electronic communication worsened it, highlighting the importance of physical social networks during the pandemic.
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Article Synopsis
  • The study investigates how different types of social networks affect cognitive function in Europeans aged 50 and older over two years, focusing on immediate recall, delayed recall, and fluency.
  • It analyzes data from over 50,000 adults, identifying five social network types: multi-tie, family-rich, close-family, family-poor, and friend-enhanced.
  • Findings show that individuals in family-poor networks had worse cognitive outcomes compared to those in close-family networks, while those in multi-tie networks experienced better cognitive health, highlighting the importance of diverse social connections for older adults.
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Using SHARE data, this study was based on an earlier analysis that derived social network types among adults aged 65 and over in Europe. The current effort investigated the transitions that occurred across these network types after 4 years ( = 13,767). Four general network transition patterns were identified according to network type (close-family networks and other networks) and whether a network transition occurred.

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