METHODS: Data from 12,330 participants of the International SCI Community Survey (InSCI) performed in 22 countries were used. We regressed social relationships (belongingness, relationship satisfaction, social interactions) on individual SES (education, income, employment, financial hardship, subjective status) and countries' SED (Human Development Index) using multi-level models (main effects). To test potential moderation of the SED, interaction terms between individual SES and countries' SED were entered into multi-level models.
RESULTS: Paid work, absence of financial hardship and higher subjective status were related to higher belongingness (OR, 95% CI: 1.50, 1.34-1.67; 1.76, 1.53-2.03; 1.16, 1.12-1.19, respectively), higher relationship satisfaction (OR, 95% CI: 1.28, 1.15-1.42; 1.97, 1.72-2.27; 1.20, 1.17-1.24, respectively) and fewer problems with social interactions (Coeff, 95% CI: 0.96, 0.82-1.10; 1.93, 1.74-2.12; 0.26, 0.22-0.29, respectively), whereas associations with education and income were less consistent. Main effects for countries' SED showed that persons from lower SED countries reported somewhat higher relationship satisfaction (OR, 95% CI: 0.97, 0.94-0.99) and less problems with social interactions (Coeff, 95% CI: -0.04, -0.09- -0.003). Results from moderation analysis revealed that having paid work was more important for relationships in lower SED countries, while education and subjective status were more important for relationships in higher SED countries (interaction terms p<0.05).
CONCLUSION: Social relationships in persons with spinal cord injury are patterned according to individual SES and the countries' SED and larger socioeconomic structures partly moderate associations between individual SES and social relationships.
METHODS: Medline and Embase were searched for articles reporting outcomes of ACS patients stratified by SES using a multidimensional index, comprising at least 2 of the following components: Income, Education and Employment. A comparative meta-analysis was conducted using random-effects models to estimate the risk ratio of all-cause mortality in low SES vs high SES populations, stratified according to geographical region, study year, follow-up duration and SES index.
RESULTS: A total of 29 studies comprising of 301,340 individuals were included, of whom 43.7% were classified as low SES. While patients of both SES groups had similar cardiovascular risk profiles, ACS patients of low SES had significantly higher risk of all-cause mortality (adjusted HR:1.19, 95%CI: 1.10-1.1.29, p