Data · dataset · 2017
Socioeconomic position and disability: “The Belo Horizonte, Brazil Health Study”
Listed in DataCite
Description
Abstract
This study aims to investigate the association of socioeconomic status and comorbidities of self-reported disability. Data were obtained from a population survey in Belo Horizonte from 2008 to 2009. The sample was probabilistic and stratified by conglomerates in three stages: census tracts, households and individuals.
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The outcome variable was disability, defined by the self-reported problems in bodily functions or structures. The explanatory variables were gender, age, self-reported morbidity and socioeconomic status index that included variables mother and respondent schooling and household income. The factorial analysis was used to evaluate the socioeconomic status index and logistic regression.
The prevalence of disability was 10.43% (95% CI: 9.1-11.7%). Self-reported disability was associated with age (OR = 1.02; 95% CI: 1.01-1.03) and reporting of two or more diseases (OR = 3.24; CI 95%; 2.16-4.86) and socioeconomic status index (OR = 0.96; 95% CI: 0.95-0.97). The worse socioeconomic status and occurrence of diseases appear to contribute to the occurrence of disability.
These results show health inequities among people with disabilities, and BPC relevance supporting vulnerable populations.
Links
Where it is published
- Repository landing page scielo.figshare.com/articles/Socioeconomic_position_and_disability_The_Belo_Horizo… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.5668582.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
- creativecommons.org /licenses/by-nc/3.0/legalcode ↗
Creative Commons Attribution Non Commercial 3.0 Unported
license · from DataCite
- doi.org /10.1590/1413-812320172211.22432017 ↗
IsSupplementTo 10.1590/1413-812320172211.22432017
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.5668582.v1 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.5668582.v1 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Political science
- Inferred from text
- Human geography 72%
Related
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.5668582.v1 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| byte_size | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].anzsrc:group:4406 | enrichment · DataCite | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].fos:political-science | source · DataCite | connector:datacite@1.0.0 | |
| created_date | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license_text | source · DataCite | connector:datacite@1.0.0 | |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| updated_date | source · DataCite | connector:datacite@1.0.0 |