Methods in Public Health Environmental Justice Research: a Scoping Review from 2018 to 2021.

Environmental exposure Environmental justice Health status disparities Racism Socioeconomic factors Vulnerable populations

Journal

Current environmental health reports
ISSN: 2196-5412
Titre abrégé: Curr Environ Health Rep
Pays: Switzerland
ID NLM: 101629387

Informations de publication

Date de publication:
09 2023
Historique:
accepted: 14 07 2023
medline: 18 9 2023
pubmed: 15 8 2023
entrez: 15 8 2023
Statut: ppublish

Résumé

The volume of public health environmental justice (EJ) research produced by academic institutions increased through 2022. However, the methods used for evaluating EJ in exposure science and epidemiologic studies have not been catalogued. Here, we completed a scoping review of EJ studies published in 19 environmental science and epidemiologic journals from 2018 to 2021 to summarize research types, frameworks, and methods. We identified 402 articles that included populations with health disparities as a part of EJ research question and met other inclusion criteria. Most studies (60%) evaluated EJ questions related to socioeconomic status (SES) or race/ethnicity. EJ studies took place in 69 countries, led by the US (n = 246 [61%]). Only 50% of studies explicitly described a theoretical EJ framework in the background, methods, or discussion and just 10% explicitly stated a framework in all three sections. Among exposure studies, the most common area-level exposure was air pollution (40%), whereas chemicals predominated personal exposure studies (35%). Overall, the most common method used for exposure-only EJ analyses was main effect regression modeling (50%); for epidemiologic studies the most common method was effect modification (58%), where an analysis evaluated a health disparity variable as an effect modifier. Based on the results of this scoping review, current methods in public health EJ studies could be bolstered by integrating expertise from other fields (e.g., sociology), conducting community-based participatory research and intervention studies, and using more rigorous, theory-based, and solution-oriented statistical research methods.

Identifiants

pubmed: 37581863
doi: 10.1007/s40572-023-00406-7
pii: 10.1007/s40572-023-00406-7
pmc: PMC10504232
doi:

Types de publication

Journal Article Review Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

312-336

Subventions

Organisme : NIEHS NIH HHS
ID : T32 ES007322
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES000002
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES007033
Pays : United States
Organisme : NIEHS NIH HHS
ID : R00 ES027023
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES009089
Pays : United States
Organisme : NIEHS NIH HHS
ID : R01ES026166
Pays : United States
Organisme : NIEHS NIH HHS
ID : R01 ES026166
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

Joan A Casey (JA)

University of Washington School of Public Health, Seattle, WA, USA. jacasey@uw.edu.
Columbia University Mailman School of Public Health, New York, NY, USA. jacasey@uw.edu.

Misbath Daouda (M)

Columbia University Mailman School of Public Health, New York, NY, USA.

Ryan S Babadi (RS)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA.

Vivian Do (V)

Columbia University Mailman School of Public Health, New York, NY, USA.

Nina M Flores (NM)

Columbia University Mailman School of Public Health, New York, NY, USA.

Isa Berzansky (I)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA.

David J X González (DJX)

Department of Environmental Science, Policy & Management and School of Public Health, University of California, Berkeley, Berkeley, CA, 94720, USA.

Yoshira Ornelas Van Horne (YO)

Columbia University Mailman School of Public Health, New York, NY, USA.

Tamarra James-Todd (T)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA.

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