Objective: To examine the association of income inequality at the public health unit level with individual health status in Ontario.
Methods: Cross-sectional multilevel study carried out among subjects aged 25 years or older residing in 42 public health units in Ontario. Individual-level data drawn from 30,939 respondents in 1996-97 Ontario Health Survey. Median area income and income inequality (Gini coefficient) calculated from 1996 census. Self-rated health status (SRH) and Health Utilities Index (HUI-3) scores were used as main outcomes.
Results: Controlling for individual-level factors including income, respondents living in public health units in the highest tercile of income inequality had odds ratios of 1.20 (95% CI 1.04 - 1.38) for fair/poor self-rated health, and 1.11 (95% CI 1.01 - 1.22) for HUI score below the median, compared with people living in public health units in the lowest tercile. Controlling further for median area income had little effect on the association.
Conclusion: Income inequality was significantly associated with individual self-reported health status at public health unit level in Ontario, independent of individual income.
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http://dx.doi.org/10.1007/BF03403692 | DOI Listing |
Br J Sociol
January 2025
Labour and Public Economics Unit, Paris School of Economics, Paris, France.
This paper analyses the enduring impact of neighbourhood deprivation on youth development, exploring multigenerational aspects often overlooked in existing research. I investigate how neighbourhood environments experienced across two generations impact youth outcomes, focussing on cognitive skills and socio-emotional behaviour. Using data from the 1958 National Child Development Study in the UK, this study employs a Regression with Residuals (RWR) design to comprehensively assess any long-lasting effects.
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January 2025
Department of Ophthalmology, Shengli Clinical College of Fujian Medical University; Fuzhou University Affiliated Provincial Hospital, School of Medicine, Fuzhou University, Fuzhou, Fujian, China.
Background: Prior studies on the link between socioeconomic status (SES) and diabetic microvascular complications have been inconclusive. This study aimed to explore whether SES is associated with the risk of diabetic retinopathy (DR), nephropathy (DN) and diabetic peripheral neuropathy (DPN) using large prospective cohort.
Methods: SES was evaluated using education attainment (individual level), household income (household level), and Townsend deprivation index (TDI, neighborhood level).
Br J Hosp Med (Lond)
December 2024
School of Nursing and Midwifery, Queen's University Belfast, Medical Biology Centre, Belfast, UK.
Health inequities exist in cardiovascular care and outcomes, especially among women, older people, individuals from racial and ethnic minorities, lower income and rural communities often those most vulnerable to adverse health outcomes. Such diverse groups form most of the patient population but they are rarely reflected in the composition of the cardiovascular care workforce. Yet a diverse cardiovascular health care workforce can enhance access to care, reduce health disparities and inequities, and improve quality of care and research for such underserved populations.
View Article and Find Full Text PDFPatient Prefer Adherence
January 2025
Department of Internal Medicine, School of Medicine, Wayne State University, Detroit, MI, USA.
Introduction: Digital health techniques were adopted faster during COVID-19, but the gap remains. This study analyzes how the digital gap affected pandemic patient portal uptake during and after. Patient portals improve physician connections and patient health information access, increasing health outcomes.
View Article and Find Full Text PDFAlcohol Res
January 2025
Prevention Research Center, Pacific Institute for Research and Evaluation, Berkeley, California.
Purpose: Sociocultural characteristics, including race/ethnicity and socioeconomic status (SES), may affect individuals' attitudes and norms regarding alcohol use and treatment as well as their access to emerging health knowledge, innovative technologies, and general resources for improving health. As a result of these differences, as well as social determinants of health such as stigma and uneven enforcement, alcohol policies may not benefit all population subgroups equally. This review addresses research conducted within the last decade that examined differential effects of alcohol policies on alcohol consumption, alcohol harm, and alcohol treatment admissions across racial/ethnic and socioeconomic groups.
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