Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis
Health equity is a rather complex issue. Social context and economical disparities, are known to be determining factors. Cultural and educational constrains however, are also important contributors to the establishment and development of health inequities. As an important starting point for a compre...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-03-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.834172/full |
| _version_ | 1818312743244005376 |
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| author | Mireya Martínez-García José Manuel Villegas Camacho José Manuel Villegas Camacho Enrique Hernández-Lemus Enrique Hernández-Lemus |
| author_facet | Mireya Martínez-García José Manuel Villegas Camacho José Manuel Villegas Camacho Enrique Hernández-Lemus Enrique Hernández-Lemus |
| author_sort | Mireya Martínez-García |
| collection | DOAJ |
| description | Health equity is a rather complex issue. Social context and economical disparities, are known to be determining factors. Cultural and educational constrains however, are also important contributors to the establishment and development of health inequities. As an important starting point for a comprehensive discussion, a detailed analysis of the literature corpus is thus desirable: we need to recognize what has been done, under what circumstances, even what possible sources of bias exist in our current discussion on this relevant issue. By finding these trends and biases we will be better equipped to modulate them and find avenues that may lead us to a more integrated view of health inequity, potentially enhancing our capabilities to intervene to ameliorate it. In this study, we characterized at a large scale, the social and cultural determinants most frequently reported in current global research of health inequity and the interrelationships among them in different populations under diverse contexts. We used a data/literature mining approach to the current literature followed by a semantic network analysis of the interrelationships discovered. The analyzed structured corpus consisted in circa 950 articles categorized by means of the Medical Subheadings (MeSH) content-descriptor from 2014 to 2021. Further analyses involved systematic searches in the LILACS and DOAJ databases, as additional sources. The use of data analytics techniques allowed us to find a number of non-trivial connections, pointed out to existing biases and under-represented issues and let us discuss what are the most relevant concepts that are (and are not) being discussed in the context of Health Equity and Culture. |
| first_indexed | 2024-12-13T08:22:42Z |
| format | Article |
| id | doaj.art-5b6a74a82f704054881976dd001c41fa |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-12-13T08:22:42Z |
| publishDate | 2022-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-5b6a74a82f704054881976dd001c41fa2022-12-21T23:53:59ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-03-011010.3389/fpubh.2022.834172834172Connections and Biases in Health Equity and Culture Research: A Semantic Network AnalysisMireya Martínez-García0José Manuel Villegas Camacho1José Manuel Villegas Camacho2Enrique Hernández-Lemus3Enrique Hernández-Lemus4Department of Immunology, National Institute of Cardiology Ignacio Chávez, Mexico City, MexicoClinical Research Division, National Institute of Cardiology Ignacio Chávez, Mexico City, MexicoSocial Relations Department, Universidad Autónoma Metropolitana, Mexico City, MexicoComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, MexicoCenter for Complexity Sciences, Universidad Nacional Autónoma de México, Mexico City, MexicoHealth equity is a rather complex issue. Social context and economical disparities, are known to be determining factors. Cultural and educational constrains however, are also important contributors to the establishment and development of health inequities. As an important starting point for a comprehensive discussion, a detailed analysis of the literature corpus is thus desirable: we need to recognize what has been done, under what circumstances, even what possible sources of bias exist in our current discussion on this relevant issue. By finding these trends and biases we will be better equipped to modulate them and find avenues that may lead us to a more integrated view of health inequity, potentially enhancing our capabilities to intervene to ameliorate it. In this study, we characterized at a large scale, the social and cultural determinants most frequently reported in current global research of health inequity and the interrelationships among them in different populations under diverse contexts. We used a data/literature mining approach to the current literature followed by a semantic network analysis of the interrelationships discovered. The analyzed structured corpus consisted in circa 950 articles categorized by means of the Medical Subheadings (MeSH) content-descriptor from 2014 to 2021. Further analyses involved systematic searches in the LILACS and DOAJ databases, as additional sources. The use of data analytics techniques allowed us to find a number of non-trivial connections, pointed out to existing biases and under-represented issues and let us discuss what are the most relevant concepts that are (and are not) being discussed in the context of Health Equity and Culture.https://www.frontiersin.org/articles/10.3389/fpubh.2022.834172/fullhealth equitycultureeducationsemantic networksontology |
| spellingShingle | Mireya Martínez-García José Manuel Villegas Camacho José Manuel Villegas Camacho Enrique Hernández-Lemus Enrique Hernández-Lemus Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis Frontiers in Public Health health equity culture education semantic networks ontology |
| title | Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis |
| title_full | Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis |
| title_fullStr | Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis |
| title_full_unstemmed | Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis |
| title_short | Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis |
| title_sort | connections and biases in health equity and culture research a semantic network analysis |
| topic | health equity culture education semantic networks ontology |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.834172/full |
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