Cited by 26Food Security and Health in Diverse PopulationsHealth disparities and outcomesHomelessness and Social Issues

Localizing syndemics: A comparative study of hunger, stigma, suffering, and crime exposure in three Haitian communities

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Brewis, Alexandra, Wutich, Amber, Galvin, Michael, Lachaud, James·2022·Social Science & Medicine

Abstract

Theoretically, disease syndemics are hyper-localized in the forms they take, but little empirical data show how localization manifests. We present a comparison across three sites in Haiti, from data collected in June-august 2017 testing for localizations of risks across three communities: rural farming, border town, and in a high gang-activity urban zone. First, we modeled survey responses collected from heads of 4055 geographically-sampled households via linear regression, considering additive and interaction effects of food insecurity, crime exposure, and discrimination on depression and anxiety levels. Exposure to food insecurity, crime exposure, and discrimination were each associated with more depression and anxiety symptoms. For those living in the urban zone, there was weak evidence of possible interactional risks between the three vulnerabilities, suggesting little meaningful localized syndemic patterning. Second, we conducted thematic and word-based semantic network analysis to identify if people themselves cognitively connected vulnerabilities of hunger/poverty, crime, and suffering/discrimination using 7321 text blocks from 95 semi-structured interviews/focus groups. Network visualization suggested people commonly connect these domains. While the patterns were localized, crime concerns were central to all networks. The domain connections expressed through people's own words were more complexly inter-related than was evident from the modeled survey data, and suggested counter-intuitive influences. The quantitative approach to modeling syndemic interactions suggests no apparent practical benefits to layering or combining local anticrime, anti-hunger, and anti-discrimination programming. However, the qualitative network analysis suggests that programming could none-the-less leverage the perceived connections across domains for more meaningful and effective interventions. For the broader study of syndemics, incorporating novel qualitative approaches clarifies that constituent processes are not just potentially localizing suffering, but are also extremely important in how people cognitively understand and organize their everyday lives.

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Crossref · 10.1016/j.socscimed.2020.113031

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References 34 · Cited by 26

Authors
Brewis, A., Wutich, A., Galvin, M., & Lachaud, J.
Affiliations
  • Arizona State University (US)
  • Washington University in St. Louis (US)
  • St. Michael's Hospital (CA)
Corresponding author
Brewis, Alexandra
Venue
Social Science & Medicine
Publisher
Elsevier BV
Published
2022-02
Volume
295
Pages
113031
ISSN
0277-9536 (ISSN-L)
OpenAlex
W3024134500
Cited by
26
References
34
Citations by year
2026: 3 · 2025: 5 · 2024: 2 · 2023: 4 · 2022: 6 · 2021: 5 · 2020: 1
FWCI
4.18
Type
journal article
Language
en
Open access
Locations
  • Social Science & Medicine (acceptedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
United States Agency for International Development
Topics
  • Health Sciences › Health Professions › General Health Professions › Food Security and Health in Diverse Populations
  • Social Sciences › Health › Health disparities and outcomes
  • Health Sciences › Health Professions › General Health Professions › Homelessness and Social Issues
Keywords
syndemic, food insecurity, hunger, stigma, discrimination, crime exposure, suffering, depression, anxiety, semantic network analysis, gang activity, rural farming communities, border cities, urban poverty, Haiti, social determinants of health
MeSH terms
Syndemic, Crime, Food Supply, Haiti, Humans, Hunger, Social Stigma

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