In the wake of COVID-19, unemployment and its potential deleterious consequences have attracted renewed interest. We examined (1) the association between unemployment, occurring upon the coronavirus outbreak, and psychological distress among Israeli young people (20–35-years-old); (2) the associations between various psychological resources/risk factors and psychological distress; and (3) whether these resources and risk factors were moderators in the unemployment-psychological distress link. A real-time survey based on snowball sampling was conducted during the month of April 2020 (N = 390). We employed hierarchical linear models to explore associations between unemployment, psychological resources, risk factors, and psychological distress. Unemployment was independently associated with greater psychological distress. Perceived trust, optimism, and sense of mastery decreased psychological distress, whereas financial strain and loneliness during the crisis increased this distress. The effect of unemployment on psychological distress did not depend on participants’ resource and risk factor levels. Policymakers must develop and extend health initiatives aimed at alleviating the mental health consequences of COVID-19-related unemployment and promote labor market interventions to help young job seekers integrate into employment. These measures, which are in line with the UN sustainable development goals, should be seen as an important route to promote public health.

Background: Socioeconomic status (SES) is a major determinant of diverse health outcomes, among these are selfrated-health and mental health. Yet the mechanisms underlying the SES-health relation are not fully explored. Socioeconomic inequalities in health and mental health may form along several pathways. One is social participation which is linked to better self-rated-health and mental health. We examined (1) whether various social participation practices, including the usage of information and communication technology, relate to a unidimensional or multidimensional phenomenon (2) the relationship among SES, social participation, self-rated-health and mental health; (3) whether social participation and mental health mediates the association between SES and self-rated-health; (4) whether social participation and self-rated-health mediates the links between SES and mental health. Method: Cross-sectional data for individuals aged 35 and older were taken from the Israeli Social Survey for 2016 (N = 4848). Social participation practices included connection with family and friends, self-perceived-support, self-perceived trust, volunteering, civic and political involvement, and information and communication technology usage. An exploratory factor analysis was conducted for all social participation practices. We then constructed structural Equation Modeling (SEM) to explore paths of relations among SES, social participation, self-rated-health and mental health. Results: We found disparities in self-rated health and mental health across SES. Social participation practice, 'frequency of meeting with friends', mediated the links between SES-self-rated health and SES-mental health. Formal social participation practices along with internet usage mediated the SES-self-rated health link. Informal social participation practices and self-perceived trust mediated the SES-mental health link. Mental health mediated the SESself-rated health link and self-rated health mediated the SES-mental health link. Conclusion: The links between SES and the two health constructs were enhanced by common and distinct social participation practices. Enhancement of social participation practices among low SES individuals is recommended. Social participation should be a prominent aspect of preventive medicine practice and health promotion interventions. Policy makers are called to support such programs as an important way to promote public health.

Loneliness is a severe risk factor that has been linked to diminished health outcomes and low quality of life across ages. Young adults have been identified as a high‐risk group for experiencing loneliness, but only a few studies have explored the economic and social determinants of loneliness in this age group. Taking a social inequality approach to health, with loneliness as a focus, this study examined: (a) the associations between the following factors – subjective social status (SSS) indicators (perceived poverty and perceived income adequacy), offline and online social capital, and neighbourhood capital – and loneliness; and (2) whether social and neighbourhood capital were moderators in the association between SSS and loneliness. Cross‐sectional data for individuals aged 20–29 were taken from the 2017 Israeli Social Survey (N = 1,508). Employing multinomial logit models, we found that perceived poverty was a strong predictor of loneliness. Greater social and neighbourhood capital decreased loneliness, whereas a higher use of online social networks increased loneliness. Neighbourhood capital and perceived trust were moderators, whereas trust was a resilience factor, neighbourhood capital strengthened the negative effect of perceived poverty on loneliness. To reduce the prevalence of loneliness in young adults, policymakers should examine various means of enhancing social and neighbourhood capital along with moderating the use of online social networks. However, they should be aware that interventions of this kind can do little to buffer the strong effect of perceived poverty on loneliness, as in most cases the effect of perceived poverty on the probability of loneliness is not ameliorated by improved social or neighbourhood resources.

Young adults are a high‐risk group for experiencing loneliness. We examine (1) the prevalence of loneliness among young adults in three ethnocultural groups in Israel: native Jews, former Soviet Union immigrants and Arabs; (2) the associations between loneliness and ethnicity, perceived poverty, physical and mental health, perceived discrimination, social capital and online social capital; (3) the distinct sensitivity of the three ethnocultural groups to the determinants of loneliness. Cross‐sectional representative data for individuals aged 20–34 were taken from the 2016 to 2017 Israeli Social Surveys (N = 4253). Hierarchical logistic models were estimated to predict loneliness. Differences in the prevalence of loneliness were observed among the groups, with immigrants at higher risk. We found both common and distinct risk factors among the groups and only little evidence for moderation. Ethnic differences in loneliness between the native Jews and the Arabs can be ascribed to differences in their demographic characteristics and the prevalence of other risk factors. The risk for loneliness remained higher for immigrants after controlling for the entire set of risk factors. Eliminating the possibility that immigrants are more sensitive to any risk factor considered suggests the effect of ethnicity per se or rather that other factors affect loneliness in young immigrant adults.

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