45 research outputs found
Economic shocks and health resilience: lessons from the Russian Federation
Background: Despite extensive research on determinants of health, there is much less information on factors protecting health among those exposed to economic shocks. Using longitudinal data from the Russian Federation in the post-Soviet period, we examined individual-level factors that enhance resilience of health to economic shocks. Methods: Logistic regression analysed factors associated with good self-assessed health (SAH) and health resilience, using pooled samples from the Russia Longitudinal Monitoring Survey-Higher School of Economics (1994–2012). Results: The general population consistently reported ‘average’ SAH, indicating almost invariant trends over the years. Male gender was the strongest predictor of good SAH and health resilience. Other factors positively associated with good SAH were age, higher education, employment, residing in rural areas, living in a larger and/or non-poor household. Among unemployed and those remaining unemployed, residing in rural areas, living in a larger and/or non-poor household remained the strongest predictors of good SAH and health resilience. These same factors were also important for males with recent job loss. Conclusions: Several factors predicting good SAH in the general population also influence health resilience factors among those remaining unemployed and experiencing a job loss. Such factors help to identify those most vulnerable and aid targeting assistance during economic crises
Gender differences in the association of perceived social support and social network with self-rated health status among older adults: a population-based study in Brazil
BACKGROUND: Older adults are more likely to live alone, because they may have been predeceased by their spouse and friends. Social interaction could also be reduced in this age group due by limited mobility caused by chronic conditions. Therefore, aging is frequently accompanied by reduced social support, which might affect health status. Little is known about the role of gender in the relationship between social support and health in older adults. Hence, the present study tests the hypothesis that gender differences exist in the relationship between perceived social support, social network, and self-rated health (SRH) among older adults. METHODS: A cross-sectional study using two-stage probabilistic sampling recruited 3,649 individuals aged 60 years and above. Data were collected during the national influenza vaccination campaign in Rio de Janeiro, Brazil, in 2006. Individual interviews collected information on SRH, perceived social support, social network, and other covariates. Multivariate logistic regression analyses using nested models were conducted separately for males and females. Independent variables were organised into six blocks: (1) perceived social support and social network, (2) age group, (3) socioeconomic characteristics, (4) health-related behaviours, (5) use of health care services, (6) functional status measures and somatic health problems. RESULTS: Older men who did not participate in group activities were more likely to report poor SRH compared to those who did, (OR = 1.63; 95% CI = 1.16–2.30). Low perceived social support predicted the probability of poor SRH in women (OR = 1.64; 95% CI = 1.16–2.34). Poor SRH was associated with low age, low income, not working, poor functional capacity, and depression in both men and women. More somatic health problems were associated with poor SRH in women. CONCLUSIONS: The association between social interactions and SRH varies between genders. Low social network involvement is associated with poor SRH in older men, whereas low perceived social support is associated with poor SRH in older women. The hypothesis that the relationship of perceived social support and social networks to SRH differs according to gender has been confirmed
Trends in self-rated health and association with socioeconomic position in Estonia: data from cross-sectional studies in 1996–2014
Investigating the relationship between self-rated health and social capital in South Africa: a multilevel panel data analysis
Erratum to: Social capital—a mixed blessing for women? A cross-sectional study of different forms of social relations and self-rated depression in Moscow
Loneliness and health in Eastern Europe: findings from Moscow, Russia.
OBJECTIVES: To examine which factors are associated with feeling lonely in Moscow, Russia, and to determine whether loneliness is associated with worse health. STUDY DESIGN: Cross-sectional study. METHODS: Data from 1190 participants were drawn from the Moscow Health Survey. Logistic regression analysis was used to examine which factors were associated with feeling lonely and whether loneliness was linked to poor health. RESULTS: Almost 10% of the participants reported that they often felt lonely. Divorced and widowed individuals were significantly more likely to feel lonely, while not living alone and having greater social support reduced the risk of loneliness. Participants who felt lonely were more likely to have poor self-rated health (odds ratio [OR]: 2.28; 95% confidence interval [CI]: 1.38-3.76), and have suffered from insomnia (OR: 2.43; CI: 1.56-3.77) and mental ill health (OR: 2.93; CI: 1.88-4.56). CONCLUSIONS: Feeling lonely is linked to poorer health in Moscow. More research is now needed on loneliness and the way it affects health in Eastern Europe, so that appropriate interventions can be designed and implemented to reduce loneliness and its harmful impact on population well-being in this setting
Social capital, health, health behavior, and utilization of healthcare services among older adults: A conceptual framework
Technology, Social Inclusion and Poverty: An Exploratory Investigation of a Community Technology Center
Social Networks and Health Among Older Adults in Lebanon: The Mediating Role of Support and Trust
Does neighbourhood social capital aid in levelling the social gradient in the health and well-being of children and adolescents? : A literature review
The research leading to these results was performed within the framework of the ‘Gradient’ project (www.health-gradient.eu), coordinated by EuroHealthNet, and has received funding from the European Community (FP7 2007–2013) under grant agreement no 223252.Background: Although most countries in the European Union are richer and healthier than ever, health inequalities remain an important public health challenge. Health-related problems and premature death have disproportionately been reported in disadvantaged neighbourhoods. Neighbourhood social capital is believed to influence the association between neighbourhood deprivation and health in children and adolescents, making it a potentially interesting concept for policymakers. Methods: This study aims to review the role of social capital in health inequalities and the social gradient in health and well-being of children and adolescents. A systematic review of published quantitative literature was conducted, focussing on (1) the mediating role of neighbourhood social capital in the relationship between socio-economic status (SES) and health-related outcomes in children and adolescents and (2) the interaction between neighbourhood social capital and socio-economic characteristics in relation to health-related outcomes in children and adolescents. Three electronic databases were searched. Studies executed between 1 January 1990 and 1 September 2011 in Western countries (USA, New Zealand, Australia and Europe) that included a health-related outcome in children or adolescents and a variable that measured neighbourhood social capital were included. Results: Eight studies met the inclusion criteria for the review. The findings are mixed. Only two of five studies confirmed that neighbourhood social capital mediates the association between neighbourhood deprivation and health and well-being in adolescents. Furthermore, two studies found a significant interaction between neighbourhood socio-economic factors and neighbourhood social capital, which indicates that neighbourhood social capital is especially beneficial for children who reside in deprived neighbourhoods. However, two other studies did not find a significant interaction between SES and neighbourhood social capital. Due to the broad range of studied health-related outcomes, the different operationalisations of neighbourhood social capital and the conceptual overlap between measures of SES and social capital in some studies, the factors that explain these differences in findings remain unclear. Conclusions: Although the findings of this study should be interpreted with caution, the results suggest that neighbourhood social capital might play a role in the health gradient among children and adolescents. However, only two of the included studies were conducted in Europe. Furthermore, some studies focussed on specific populations and minority groups. To formulate relevant European policy recommendations, further European-focussed research on this issue is needed.Publisher PDFPeer reviewe