Measuring social exclusion and its distribution in England.

Publisher: Springer International Country of Publication: Germany NLM ID: 8804358 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1433-9285 (Electronic) Linking ISSN: 09337954 NLM ISO Abbreviation: Soc Psychiatry Psychiatr Epidemiol Subsets: MEDLINE

Original Publication: [Berlin] : Springer International, [c1988-

Social Isolation* ; Minority Groups* ; Age Factors*; Humans ; England ; Ethnicity

Background: Social exclusion is a multidimensional concept referring processes which restrict the ability of individuals or groups to participate fully in society. While social exclusion has been used to explore patterns of disadvantage, it has been difficult to measure. Thus, we aimed to use population-based data to measure social exclusion and its constituent domains and to describe its distribution in England.
Methods: We used data from Understanding Society in 2009/2010 develop a multidimensional measurement approach, replicated in 2018/2019. We defined five domains of social exclusion from the literature and expert consultation: material, relational, political, digital, and structural. In both waves, we identified measures for each domain, then conducted principal component analysis to identify the components. We generated domain scores and an overall social exclusion score. We described the distribution of social exclusion and its domains by sex, region, age, and ethnicity.
Results: We found the level of social exclusion was higher in the youngest age group and decreased by age. We found elevated levels of overall social exclusion for ethnic minoritised groups including African, Arab, and Caribbean groups compared to White British groups. We found distinct patterns within each domain.
Discussion: We developed an overall measure of social exclusion with five domains, and finding distinct patterns of social exclusion by age, ethnicity, and region which varied across domain. These findings suggest that attention should be paid to the separate domains due to different population distributions. This measurement approach moves beyond conceptual discussions of social exclusion and demonstrates the utility of a quantitative measure of social exclusion for use in health and social research.
(© 2023. The Author(s).)

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BH154142 School for Public Health Research; MHF006 NIHR Three Schools Mental Health Fellowship; NIHR302266 NIHR Academy

Keywords: Health inequalities; Principal component analysis; Public health; Social exclusion; Understanding Society

Date Created: 20230509 Date Completed: 20240122 Latest Revision: 20240123

20250114

PMC10799797

10.1007/s00127-023-02489-x

37160438