Jennifer L. Beard, Nafisa Halim, S. Abdalla, S. Galea
{"title":"Intersectional and social epidemiology approaches to understanding the Influence of race, ethnicity, and caste on global public health","authors":"Jennifer L. Beard, Nafisa Halim, S. Abdalla, S. Galea","doi":"10.1093/med/9780198816805.003.0088","DOIUrl":null,"url":null,"abstract":"Ethnicity, race, caste, sex, and gender are characteristics that can determine social status, health, and illness for both individuals and communities. They are among the many attributes that social epidemiologists account for when conducting research to understand the forces driving health disparities. Intersectional theory posits that each individual comprises multiple, interlocking identities that are projected on to them by the society in which they live. These identities confer multilayered privilege or disadvantage based on context-specific power dynamics, social norms, and biases. Intersectionality is a perspective that grew out of the social justice movements that have shaken entrenched systems of power and social norms over the last 60 years. Intersectional theory challenges traditional epidemiological methods of measuring associations between demographic variables and health outcomes. It also offers social epidemiology an opportunity to explore new methodologies that illuminate factors contributing to health disparities and promote social justice as core research objectives. This chapter illustrates intersections between social determinants and health outcomes in a descriptive case study focused on India and explores innovative methods for incorporating intersectionality into epidemiological research methods and analysis.","PeriodicalId":206715,"journal":{"name":"Oxford Textbook of Global Public Health","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oxford Textbook of Global Public Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/med/9780198816805.003.0088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Ethnicity, race, caste, sex, and gender are characteristics that can determine social status, health, and illness for both individuals and communities. They are among the many attributes that social epidemiologists account for when conducting research to understand the forces driving health disparities. Intersectional theory posits that each individual comprises multiple, interlocking identities that are projected on to them by the society in which they live. These identities confer multilayered privilege or disadvantage based on context-specific power dynamics, social norms, and biases. Intersectionality is a perspective that grew out of the social justice movements that have shaken entrenched systems of power and social norms over the last 60 years. Intersectional theory challenges traditional epidemiological methods of measuring associations between demographic variables and health outcomes. It also offers social epidemiology an opportunity to explore new methodologies that illuminate factors contributing to health disparities and promote social justice as core research objectives. This chapter illustrates intersections between social determinants and health outcomes in a descriptive case study focused on India and explores innovative methods for incorporating intersectionality into epidemiological research methods and analysis.