Evidence map›Paper›PMID 36109542›Full record

ArticleScientific reports2022

Exploring the capability approach to quality of life in disadvantaged population groups.

Tomi Mäki-Opas, Richard Pieper, Marja Vaarama

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 2 institutions in 1 country.

Tomi Mäki-OpasDepartment of Social Sciences, University of Eastern Finland (UEF), Yliopistonranta 1 E, Snellmania, P.O. Box 1627, 70211, Kuopio, Finland. tomi.maki-opas@uef.fi.ORCID 0000-0002-0472-719X
Richard PieperGerontology Research Center GEREC, University of Tampere (TUNI), Tampere, Finland.
Marja VaaramaDepartment of Health and Social Management, UEF, Kuopio, Finland.ORCID 0000-0001-8053-005X
University of Eastern Finland · FITampere University · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The capability approach argues that having effective choices and fair opportunities are essential to maintain and promote one's own health and quality of life (QoL). This study examines the determinants of QoL in four disadvantaged population groups (young people not in education, employment, or training; long-term unemployed; refugees; older people living alone) within the framework of the capabilities by tracking the direct and indirect effects of individual and structural factors and capabilities on their QoL. Cross-sectional data (N = 866) with validated scales of quality of life (physical, social, psychological, and environmental QoL) and self-reported capabilities were utilized. Individual factors included age and gender and structural factors education and income. Descriptive statistics and structural equation modelling with latent variables were used for statistical analyses. Our results suggest that capabilities have crucial direct and mediating roles in achieving good QoL in the disadvantaged population groups. Individual factors had only small effects whereas especially the structural factors affected QoL through capabilities. Our results suggest that to reduce health inequalities and to promote wellbeing, policies should focus on improving both the structural factors and the individual capabilities of people in disadvantaged positions.

Indexed as

Quality of LifeVulnerable PopulationsAdolescentAgedCross-Sectional StudiesHumansSurveys and QuestionnairesUnemployment

Identifiers

PMID36109542
PMCPMC9477846
OpenAlexW4296027617

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.