Evidence map›Paper›PMID 42417169›Full record

ArticleSociology of health & illness2026

Economic Cynicism, COVID-19 and Deaths of Despair in Rural Ohio Counties.

Christopher R Browning, Bethany Boettner, Catherine A Calder, Elisabeth Root

Abstract read
In one paragraph

Article in Sociology of health & illness, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Christopher R BrowningDepartment of Sociology, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0001-7807-3849
Bethany BoettnerInstitute for Population Research, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0002-4390-9447
Catherine A CalderDepartment of Statistics and Data Sciences, The University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-4459-1418
Elisabeth RootInstitute for Disease Modeling, Gates Foundation, Seattle, Washington, USA.ORCID 0000-0002-9566-4031

Funding

Eunice Kennedy Shriver National Institute of Child Health and Human Development P2CHD058484
6 · The paper itself

Abstract

Research on urban community effects on health has considered a range of collective social processes as potential links between economic disadvantage and health. We extend this focus to deaths of despair (DoD; drug overdose mortality and suicide) in rural counties by examining the association between a novel indicator of economic cynicism (perceptions that local communities have been 'left behind' economically) and DoD. We also consider a range of other aspects of social climate potentially relevant to health, including social network ties, collective efficacy and social and physical disorder. We draw on data from the 2018 Ohio Community Resilience Study to estimate county-level social process measures. Multilevel models of 2018-2022 age-adjusted DoD rates in 39 rural Ohio counties indicate that economic cynicism is associated with prepandemic rates of DoD and COVID-19 pandemic-associated increases in drug overdose mortality. Generalised structural equation models indicate that economic cynicism attenuates the association between economic disadvantage and drug overdose mortality by roughly 27% and the association with suicide by 50%. We discuss the importance of community-level social processes as factors in understanding rural area vulnerability to DoD.

Indexed as

COVID-19Drug OverdoseRural PopulationSuicideAdultFemaleHumansMaleMiddle AgedOhioSocioeconomic Disparities in HealthSocioeconomic Factors

Identifiers

PMID42417169
PMCPMC13343394

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.