Evidence map›Paper›PMID 37160438›Full record

ArticleSocial psychiatry and psychiatric epidemiology2024

Measuring social exclusion and its distribution in England.

Jennifer Dykxhoorn, David Osborn, Laura Fischer, David Troy, James B Kirkbride, Kate Walters

Abstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Patterns of Multidimensional Social Exclusion Among Older Home Care Services Recipients.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jennifer DykxhoornDepartment of Primary Care and Population Health, UCL, Rowland Hill Street, London, NW3 2PF, UK. j.dykxhoorn@ucl.ac.uk.ORCID http://orcid.org/0000-0001-6391-8626
David OsbornDivision of Psychiatry, UCL, 6th Floor, Maple House, 149 Tottenham Court Road, London, W1T 7NF, UK.ORCID http://orcid.org/0000-0001-6346-5751
Laura FischerDepartment of Primary Care and Population Health, UCL, Rowland Hill Street, London, NW3 2PF, UK.ORCID http://orcid.org/0000-0001-8593-6913
David TroyBristol Population Health Sciences Institute, University of Bristol, Canynge Hall, Bristol, BS8 2PS, UK.ORCID http://orcid.org/0000-0003-0897-2704
James B KirkbrideDivision of Psychiatry, UCL, 6th Floor, Maple House, 149 Tottenham Court Road, London, W1T 7NF, UK.ORCID http://orcid.org/0000-0003-3401-0824
Kate WaltersDepartment of Primary Care and Population Health, UCL, Rowland Hill Street, London, NW3 2PF, UK.ORCID http://orcid.org/0000-0003-2173-2430

Funding

NIHR Academy NIHR302266NIHR Three Schools Mental Health Fellowship MHF006School for Public Health Research BH154142
6 · The paper itself

Abstract

backgroundSocial 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.

methodsWe 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.

resultsWe 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.

Indexed as

Age FactorsMinority GroupsSocial IsolationEnglandEthnicityHumansHealth inequalitiesPrincipal component analysisPublic healthSocial exclusionUnderstanding Society

Identifiers

PMID37160438
PMCPMC10799797

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.