Evidence map›Paper›PMID 37140678›Full record

ArticleEuropean journal of ageing2023

Patterns and correlates of old-age social exclusion in the Balkan states.

Marja J Aartsen, Marian Vasile, Laura A Tufa, Diana A Dumitrescu, Rosa M Radogna, Jonathan Wörn, Iuliana Precupetu

Open access · hybridAbstract read
In one paragraph

Article in European journal of ageing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 4 countries.

Marja J AartsenNOVA - Norwegian Social Research, Oslo Metropolitan University, Oslo, Norway. maraar@oslomet.no.ORCID http://orcid.org/0000-0003-4246-7621
Marian VasileUniversity of Bucharest, Bucharest, Romania.
Laura A TufaUniversity of Bucharest, Bucharest, Romania.
Diana A DumitrescuUniversity of Bucharest, Bucharest, Romania.
Rosa M RadognaUniversity of Bucharest, Bucharest, Romania.
Jonathan WörnNOVA - Norwegian Social Research, Oslo Metropolitan University, Oslo, Norway.
Iuliana PrecupetuUniversity of Bucharest, Bucharest, Romania.
University of Bucharest · ROMetropolitan University · BDNorwegian Institute of Public Health · NO

Funding

Norway Grants 16/2020
6 · The paper itself

Abstract

Social exclusion (SE), or the separation of individuals and groups from mainstream society, is associated with poor health and wellbeing, yet a substantial number of older people are socially excluded. There is increasing agreement that SE is multidimensional, comprising among others social relations, material resources, and/or civic participation. However, measuring SE is still challenging as exclusion may occur in more than one dimension, whereas its sum does not reflect the content of SE. To account for these challenges, this study provides a typology of SE and describes how SE types differ from each other in terms of severity and risk factors. We concentrate on Balkan states, which are among the European countries with the highest prevalence of SE. Data come from the European Quality of Life Survey (N = 3030, age 50 +). Latent Class Analysis revealed four SE types: low SE risk (50%), material exclusion (23%), material and social exclusion (4%), and multidimensional exclusion (23%). A higher number of dimensions from which a person is excluded are associated with more severe outcomes. Multinomial regression further revealed that lower levels of education, lower subjective health, and lower social trust increase the risks of any SE type. Younger age, unemployment, and not having a partner are associated with specific SE types. This study is in line with the limited evidence that different types of SE exist. Policies designed to reduce SE should take account of the different SE types and specific associated risk factors in order to enhance the impact of interventions to reduce social exclusion.

Identifiers

PMID37140678
PMCPMC10160279
OpenAlexW4368358918

What OpenQuestion holds

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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.