Evidence map›Paper›PMID 40199960›Full record

ArticleCommunications medicine2025

A nationwide study of risk factors for long COVID and its economic and mental health consequences in the United States.

Daniel Kim

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

1 author.

Daniel KimDepartment of Public Health and Health Sciences, School of Community Health and Behavioral Sciences, Northeastern University, Boston, MA, USA. d.kim@northeastern.edu.ORCID http://orcid.org/0000-0001-8907-6420

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the United States, concerns have been increasingly raised over the future public health and economic burden of long COVID including disability and declines in labor force participation. However, only a handful of U.S. studies have explored sociodemographic or socioeconomic characteristics that put people at risk of long COVID or have investigated its economic and mental health sequelae.

methodsUsing repeated cross-sectional data on over 375,000 adults including nearly 50,000 adults with long COVID pooled from U.S. nationally-representative Household Pulse Survey data collected between September and November 2022 and between August and October 2023, I fit age- and gender-adjusted and multivariable modified Poisson regression models to examine multiple sociodemographic and socioeconomic factors as predictors of long COVID. I further estimate the risks of unemployment, financial hardship, and anxiety and depression among working-aged adults and adults with current long COVID symptoms, and estimate the economic burden of lost wages due to long COVID.

resultsNearly one in seven adults (~35 million) and working-aged adults (~30 million) reported having a history of long COVID by late 2022 and late 2023. In age- and gender-adjusted models and fully-adjusted multivariable models, I find several factors predict long COVID including lower household income, and being Hispanic, female, gay/lesbian or bisexual. I also find having long COVID is linked to higher risks of recent unemployment, financial hardship, and anxiety and depressive symptomatology, with evidence of dose-response relationships.

conclusionsOverall, an estimated 24 million working-aged adults with long COVID had been or may still be at risk of adverse socioeconomic and mental health outcomes. The lost earnings due to long COVID among working-aged adults are estimated to total $211 billion in 2022 and $218 billion in 2023. These findings highlight the substantial public health and economic implications of long COVID among Americans.

Identifiers

PMID40199960
PMCPMC11978816

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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.