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Theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review
OBJECTIVE: To document socioepidemiological theories used to explain the relationship between socioeconomic disadvantage and multimorbidity. DESIGN: Scoping review. METHODS: A search strategy was developed and then applied to multiple electronic databases including Medline, Embase, PsychInfo, Web of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8882654/ https://www.ncbi.nlm.nih.gov/pubmed/35197348 http://dx.doi.org/10.1136/bmjopen-2021-055264 |
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author | Fleitas Alfonzo, Ludmila King, Tania You, Emily Contreras-Suarez, Diana Zulkelfi, Syafiqah Singh, Ankur |
author_facet | Fleitas Alfonzo, Ludmila King, Tania You, Emily Contreras-Suarez, Diana Zulkelfi, Syafiqah Singh, Ankur |
author_sort | Fleitas Alfonzo, Ludmila |
collection | PubMed |
description | OBJECTIVE: To document socioepidemiological theories used to explain the relationship between socioeconomic disadvantage and multimorbidity. DESIGN: Scoping review. METHODS: A search strategy was developed and then applied to multiple electronic databases including Medline, Embase, PsychInfo, Web of Science, Scielo, Applied Social Sciences, ERIC, Humanities Index and Sociological Abstracts. After the selection of studies, data were extracted using a data charting plan. The last search was performed on the 28 September 2021. Extracted data included: study design, country, population subgroups, measures of socioeconomic inequality, assessment of multimorbidity and conclusion on the association between socioeconomic variables and multimorbidity. Included studies were further assessed on their use of theory, type of theories used and context of application. Finally, we conducted a meta-narrative synthesis to summarise the results. RESULTS: A total of 64 studies were included in the review. Of these, 33 papers included theories as explanations for the association between socioeconomic position and multimorbidity. Within this group, 16 explicitly stated those theories and five tested at least one theory. Behavioural theories (health behaviours) were the most frequently used, followed by materialist (access to health resources) and psychosocial (stress pathways) theories. Most studies used theories as post hoc explanations for their findings or for study rationale. Supportive evidence was found for the role of material, behavioural and life course theories in explaining the relationship between social inequalities and multimorbidity. CONCLUSION: Given the widely reported social inequalities in multimorbidity and its increasing public health burden, there is a critical gap in evidence on pathways from socioeconomic disadvantage to multimorbidity. Generating evidence of these pathways will guide the development of intervention and public policies to prevent multimorbidity among people living in social disadvantage. Material, behavioural and life course pathways can be targeted to reduce the negative effect of low socioeconomic position on multimorbidity. |
format | Online Article Text |
id | pubmed-8882654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-88826542022-02-28 Theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review Fleitas Alfonzo, Ludmila King, Tania You, Emily Contreras-Suarez, Diana Zulkelfi, Syafiqah Singh, Ankur BMJ Open Epidemiology OBJECTIVE: To document socioepidemiological theories used to explain the relationship between socioeconomic disadvantage and multimorbidity. DESIGN: Scoping review. METHODS: A search strategy was developed and then applied to multiple electronic databases including Medline, Embase, PsychInfo, Web of Science, Scielo, Applied Social Sciences, ERIC, Humanities Index and Sociological Abstracts. After the selection of studies, data were extracted using a data charting plan. The last search was performed on the 28 September 2021. Extracted data included: study design, country, population subgroups, measures of socioeconomic inequality, assessment of multimorbidity and conclusion on the association between socioeconomic variables and multimorbidity. Included studies were further assessed on their use of theory, type of theories used and context of application. Finally, we conducted a meta-narrative synthesis to summarise the results. RESULTS: A total of 64 studies were included in the review. Of these, 33 papers included theories as explanations for the association between socioeconomic position and multimorbidity. Within this group, 16 explicitly stated those theories and five tested at least one theory. Behavioural theories (health behaviours) were the most frequently used, followed by materialist (access to health resources) and psychosocial (stress pathways) theories. Most studies used theories as post hoc explanations for their findings or for study rationale. Supportive evidence was found for the role of material, behavioural and life course theories in explaining the relationship between social inequalities and multimorbidity. CONCLUSION: Given the widely reported social inequalities in multimorbidity and its increasing public health burden, there is a critical gap in evidence on pathways from socioeconomic disadvantage to multimorbidity. Generating evidence of these pathways will guide the development of intervention and public policies to prevent multimorbidity among people living in social disadvantage. Material, behavioural and life course pathways can be targeted to reduce the negative effect of low socioeconomic position on multimorbidity. BMJ Publishing Group 2022-02-23 /pmc/articles/PMC8882654/ /pubmed/35197348 http://dx.doi.org/10.1136/bmjopen-2021-055264 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Epidemiology Fleitas Alfonzo, Ludmila King, Tania You, Emily Contreras-Suarez, Diana Zulkelfi, Syafiqah Singh, Ankur Theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review |
title | Theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review |
title_full | Theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review |
title_fullStr | Theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review |
title_full_unstemmed | Theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review |
title_short | Theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review |
title_sort | theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8882654/ https://www.ncbi.nlm.nih.gov/pubmed/35197348 http://dx.doi.org/10.1136/bmjopen-2021-055264 |
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