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A study of socio-economic inequalities in self-reported oral and general health in South-East Norway

This study assesses the association between socioeconomic determinants and self-reported health using data from a regional Norwegian health survey. We included 9,068 participants ≥ 25 years. Survey data were linked to registry data on education and income. Self-reported oral and general health were...

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Detalles Bibliográficos
Autores principales: Lyshol, Heidi, Grøtvedt, Liv, Fagerhaug, Tone Natland, Feuerherm, Astrid J., Jakhelln, Gry, Sen, Abhijit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374767/
https://www.ncbi.nlm.nih.gov/pubmed/35962044
http://dx.doi.org/10.1038/s41598-022-18055-5
Descripción
Sumario:This study assesses the association between socioeconomic determinants and self-reported health using data from a regional Norwegian health survey. We included 9,068 participants ≥ 25 years. Survey data were linked to registry data on education and income. Self-reported oral and general health were separately assessed and categorized into ‘good’/‘poor’. Exposures were educational level, personal income, and economic security. Prevalence ratios (PR) were computed to assess the associations between socioeconomic determinants and self-reported health using Poisson regression models. Participants with low education or income had poorer oral and general health than those with more education or higher income. Comparing the highest and lowest education levels, adjusted PRs for poor oral and general health were 1.27 (95%CI, 1.11–1.46) and 1.43 (95%CI, 1.29–1.59), respectively. Correspondingly, PRs for lowest income quintiles compared to highest quintile were 1.34 (95%CI, 1.17–1.55) and 2.10 (95%CI, 1.82–2.43). Low economic security was also significantly associated with poor oral and general health. There were socioeconomic gradients and positive linear trends between levels of education and income in relation to both outcomes (P-linear trends < 0.001). We found statistical evidence of effect modification by gender on the association between education and oral and general health, and by age group between income and oral health.