Evidence map›Paper›PMID 39994126›Full record

ArticleDiscover mental health2025

Assessing the effects of long-COVID on mental health in the United States: a population based study.

Anusua Datta

Abstract read
In one paragraph

Article in Discover mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 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.

Anusua DattaThomas Jefferson University, 4201 Henry Avenue, Philadelphia, PA, 19144, USA. Anusua.Datta@jefferson.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile most individuals recover fully from COVID-19, a significant proportion of survivors experience prolonged symptoms lasting three months or more, a condition commonly referred to as long-COVID. Long-COVID conditions have been associated with reduced quality of life. By utilizing a nationally representative sample of nearly a million Americans, this study provides insights into the prevalence and impact of long-COVID on anxiety and depression in the U.S.

methodsWe utilize the Household Pulse Survey data, which provides the first population-based sample on the prevalence of long-COVID, beginning with its June 2022 wave. This survey also includes questions on respondents' mental health status-specifically anxiety and depression. We employ a quasi-experimental difference-in-differences framework to conduct research using control groups, to predict anxiety and depression among individuals who suffered from long-COVID.

resultsApproximately 51.8% of those surveyed tested positive for COVID-19 and of these 27.3% reported suffering from long-COVID. Individuals with long-COVID were twice as likely to experience anxiety and depression relative to those with mild/asymptomatic COVID-19. Our analysis at the sub-group level revealed that younger adults and females were disproportionately affected, reporting higher rates of anxiety and depression in both the COVID-19 and long-COVID groups. Additionally, individuals with lower income and educational attainment were more likely to experience mental health challenges. Relative to the reference group (Asians), Whites, Blacks, and Hispanics exhibited significantly higher odds of anxiety and depression in both groups. Notably, long-COVID was linked to a higher incidence of depression among males, which is consistent with previous research.

conclusionThis study fills a significant gap in the literature regarding the mental health effects of long-COVID. The findings from this study provide strong evidence of the link between long-COVID and anxiety and depression, utilizing a large nationally representative sample, and employing rigorous analysis with control groups.

Indexed as

AnxietyCOVID-19DepressionMental health

Identifiers

PMID39994126
PMCPMC11850688

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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.