This analysis examines the spatial clustering of income inequality and its socioeconomic correlates at the meso-scale over the past four decades. Cluster analysis is used to group N=3078 counties into five inequality clusters; and multinomial logistic regression is used to assess the effects of socioeconomic correlates. High and extreme inequality places are concentrated in large metropolitan centers, high amenity rural areas, and parts of the Great Plains and Mountain West. They tend to have better socioeconomic outcomes, with fewer at-risk populations, higher incomes, lower poverty, and greater economic participation. Unequal places are more specialized in high-skill finance and professional services, and in energy-based mining. By contrast, equality places are associated with low-skill services, education and health services, manufacturing, and stable farm economies.
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http://dx.doi.org/10.1016/j.ssresearch.2013.06.009 | DOI Listing |
NPJ Digit Med
January 2025
Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA.
Digital interventions are increasingly utilized as a lever to promote population health, yet not everyone may equally benefit from them. This umbrella review pooled the insights from available systematic and scoping reviews regarding potential social inequalities in digital intervention uptake, engagement and effectiveness, focusing on the promotion of weight-related behaviors (diet, physical activity, sedentary behavior) and weight loss (maintenance) in adults. Six databases were searched from 1970 to October 2023.
View Article and Find Full Text PDFJ Epidemiol Community Health
January 2025
University of Warwick Warwick Medical School, Coventry, UK.
Background: Preterm birth (PTB) and small-for-gestational-age (SGA) disproportionately affect women who are Black or Asian. Structural racism produces health inequalities. Identifying latent socioeconomic classes may help to understand the role socioeconomic position (SEP) plays in this inequality.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Background: The rapid shift to video consultation services during the COVID-19 pandemic has raised concerns about exacerbating existing health inequities, particularly for disadvantaged populations. Intersectionality theory provides a valuable framework for understanding how multiple dimensions of disadvantage interact to shape health experiences and outcomes.
Objective: This study aims to explore how multiple dimensions of disadvantage-specifically older age, limited English proficiency, and low socioeconomic status-intersect to shape experiences with digital health services, focusing on video consultations.
Health Syst Reform
December 2025
Department of Health Policy and Management, School of Public Health, Ben-Gurion University of the Negev, Beer Sheva, Israel.
In the pursuit of equitable diabetes care, international knowledge exchange (iKE) serves as a crucial mechanism for narrowing the gaps in quality within and between countries. Little is known about the process of quality measurement exchange among stakeholders from high-income countries (HICs), low- and middle-income countries (LMICs), and international organizations. This study aims to analyze recent international exchanges of quality measures in diabetes care and propose a framework for enhancing quality, focusing on LMICs.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Medicine, Duke University, Durham, North Carolina.
Importance: Health systems are increasingly required to conduct health-related social needs screening. However, how social resources negatively and positively affect recovery from acute illnesses, such as COVID-19, is incompletely understood.
Objective: To examine how social determinants of health (SDOH) influence recovery from COVID-19.
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