Evidence map›Paper›PMID 42329675›Full record

ArticleJMIR formative research2026

Prevalence and Associations of Medical Expenditure Panel Survey-Defined Long COVID Among Adults: Cross-Sectional Study.

David Rhys Axon, Stephanie Fenwick

Abstract read
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Article in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

David Rhys AxonDivision of Pharmacy Practice and Administrative Sciences, James L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0000-0002-9903-5996
Stephanie FenwickDivision of Pharmacy Practice and Administrative Sciences, James L. Winkle College of Pharmacy, University of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0009-0002-9172-4030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong COVID is a clinical condition that significantly influences quality of life, productivity, and morbidity in the individuals affected. Much of the research to date has examined medical comorbidities and their associations with long COVID, but there remains a substantial need to understand the social and behavioral factors associated with long COVID.

objectiveThe objective of this study was to investigate the prevalence and associations of Medical Expenditure Panel Survey (MEPS)-defined long COVID among adults in the United States through the application of the Andersen behavioral model.

methodsThis cross-sectional database study used the 2022 MEPS dataset. Variables in this analysis were organized according to the Andersen behavioral model. The appropriate weighting variable was used to obtain weighted population-based estimates. Between-group differences (ie, those with MEPS-defined long COVID vs those without) were assessed using chi-square tests, and a multivariable binomial logistic regression model was developed to assess the association between each variable and having MEPS-defined long COVID.

resultsA total of 11,266 individuals were eligible for inclusion in this study. This represented a weighted population of 256,500,584 American adults. Of these 11,266 individuals, 790 (7%; weighted population=18,397,214) had MEPS-defined long COVID, whereas 10,476 (93%; weighted population=238,103,371) did not. Variables identified that were statistically associated with having MEPS-defined long COVID among American adults included 3 predisposing variables (age, sex, and Asian race), 2 enabling variables (marital status and employment status), 3 need variables (number of chronic conditions, health status, and instrumental activity of daily living limitations), 1 personal health practices variable (ever receiving the COVID-19 vaccine), and 1 external environmental variable (south region).

conclusionsThe prevalence and factors associated with having MEPS-defined long COVID among American adults in this study offer insights to expand our limited understanding of the complex environmental and social factors associated with MEPS-defined long COVID. Further research is required among the long COVID population to better understand and differentiate the causes and consequences of this condition.

Indexed as

COVID-19Health ExpendituresAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromePrevalenceSurveys and QuestionnairesUnited StatesAndersen behavioral modellong COVIDpostacute sequelae of SARS-CoV-2prevalencesocial determinants of health

Identifiers

PMID42329675
PMCPMC13338675

What Socratic holds

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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 Socratic graph.