Comparing social determinants of self-rated health across the United States and Canada

Prus, Steven G.

doi:10.1016/j.socscimed.2011.04.010

Cited by 135 publications

(122 citation statements)

References 61 publications

Supporting

Mentioning

106

Contrasting

Unclassified

Order By: Relevance

“…SRH is one of the most frequently used health indicators in studies of social capital and health (Kawachi et al, 2004). As a general health status indicator, SRH has been identified as a robust and reliable predictor of objective health status (Prus, 2011;Snelgrove et al, 2009). It is wellestablished that SRH is strongly related to mortality (Idler and Benyamini, 1997;McCallum et al, 1994), morbidity (Idler et al, 2000), disability (Mansson and Rastam, 2001), and functional limitations (Idler and Kasl, 1995).…”

Section: Variablesmentioning

confidence: 99%

The Relationship Between Social Capital and Selfreported Health in China

Xue

Reed

2016

Economics

View full text Add to dashboard Cite

This paper uses the 2005 and 2006 China General Social Survey (CGSS) to study the relationship between social capital and self-reported health in China. It is the most comprehensive analysis of this subject to date, both in the sizes of the samples it analyses, in the number of social capital variables it investigates, and in its treatment of endogeneity. The authors identify social trust, social relationships, and social networks as important determinants of self-reported health. The magnitude of the estimated effects are economically important, in some cases being of the same size or larger than the effects associated with age and income. Their findings suggest that there is scope for social capital to be a significant policy tool for improving health outcomes in China. JEL I1 I18 P25 O53

show abstract

Section: Variablesmentioning

confidence: 99%

The Relationship Between Social Capital and Selfreported Health in China

Xue

Reed

2016

Economics

View full text Add to dashboard Cite

show abstract

“…SRH is a highly useful measure that correlates strongly with physical and mental health measures. [17][18][19][20] …”

Section: Introductionmentioning

confidence: 99%

The Association of Minority Self-Rated Health with Black versus White Gentrification

2016

View full text Add to dashboard Cite

There exists controversy as to the impact gentrification of cities has on the well-being of minorities. Some accuse gentrification of causing health disparities for disadvantaged minority populations residing in neighborhoods that are changing as a result of these socioeconomic shifts. Past scholarship has suggested that fears of displacement and social isolation associated with gentrification lead to poorer minority health. However, there is a lack of research that directly links gentrification to minority health outcomes. We address this gap with individual data from the 2008 Philadelphia Health Management Corporation's Southeastern Pennsylvania Household Health Survey and census tract data from the 2000 Decennial Census and the 2006-2010 American Community Survey. We implement logistic multilevel models to determine whether and how a resident's self-rated health is affected by gentrification of their neighborhoods. We find that while gentrification does have a marginal effect improving self-rated health for neighborhood residents overall, it leads to worse health outcomes for Blacks. Accounting for racial change, while gentrification leading to increases in White population has no measurable effect on minority health, BBlack gentrificationl eads to marginally worse health outcomes for Black respondents. These results demonstrate the limitations that improvements of neighborhood socioeconomic character have in offsetting minority health disparities.

show abstract

“…Gender is usually related to subjective evaluation of physical health and psychological status. Women have higher rates of negative affect and depression and poorer subjective health than men (Crimmins, Kim, & Solè-Aurò, 2010;Prus, 2011;Tesch-Römer, Motel-Klingebiel, & Tomasik, 2008).…”

Section: Introductionmentioning

confidence: 99%