Localizing syndemics: A comparative study of hunger, stigma, suffering, and crime exposure in three Haitian communities
Open accessAbstract
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
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
- bronze
- doi.org
- Licence
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review