Evidence map›Paper›PMID 40440219›Full record

ArticleMMWR. Morbidity and mortality weekly report2025

Economic Hardship and Health Within Sociodemographic and Occupational Groups - Behavioral Risk Factor Surveillance System, United States, 2022-2023.

Sharon R Silver, Jia Li, Taylor M Shockey

Abstract read
In one paragraph

Article in MMWR. Morbidity and mortality weekly report, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Enhancing Medicaid Social Risk Identification: Comparing Linear and Non-Linear Machine Learning Models with Expert Heuristics.IEEE International Conference on Digital Health. IEEE International Conference on Digital Health · 2026
    Article
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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

3 authors.

Sharon R SilverDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.
Jia LiDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.
Taylor M ShockeyDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, CDC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Economic hardship can limit the ability of workers to prevent and address adverse health conditions. Using 2022 and 2023 Behavioral Risk Factor Surveillance System data, this exploratory analysis assessed economic hardship measures and self-rated health among currently employed and recently unemployed (<12 months) U.S. adults. Measures of economic hardship were 1) employment instability, 2) food insecurity, 3) housing insecurity, 4) utility insecurity, 5) lack of reliable transportation, 6) receipt of food stamps or Supplemental Nutrition Assistance Program benefits, 7) lack sof health insurance, and 8) cost as a barrier to needed medical care. Overall, 6.9% of currently or recently employed U.S. adults in 36 states and the U.S. Virgin Islands had high levels of economic hardship (reporting at least four of eight economic hardship indicators), and 12.5% reported having fair or poor health. High levels of economic hardship were more common among persons who were recently unemployed, were aged 18-49 years, were female, were Hispanic or Latino (Hispanic) or non-Hispanic Black or African American, had a high school education or less, or had a household income <$50,000 per year than among all workers combined. Fair or poor self-rated health was most common among workers who were Hispanic or were from lower educational attainment and income categories. By occupational group, the prevalence of high levels of economic hardship was highest in farming, fishing, and forestry (18.5%); building and grounds cleaning and maintenance (18.2%); and food preparation and serving (16.0%) and was lowest in the legal occupations (1.2%). Among occupational groups, the prevalence of fair or poor health generally increased with the prevalence of high economic hardship, and almost every occupational group with a high level of economic hardship had a statistically significantly elevated prevalence of fair or poor health compared with that among all workers combined. Given associations between unmet economic needs and health, these findings can be used by policymakers to identify groups of workers with disproportionate economic hardships and develop strategies to enhance economic security and health for all workers.

Indexed as

Health StatusHealth Status DisparitiesOccupationsPovertyAdolescentAdultBehavioral Risk Factor Surveillance SystemEmploymentFemaleHumansMaleMiddle AgedSociodemographic FactorsSocioeconomic FactorsUnited StatesYoung Adult

Identifiers

PMID40440219
PMCPMC12121729

What OpenQuestion holds

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Registered trials

None linked

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.