Evidence map›Paper›PMID 42088257›Full record

ArticleFrontiers in public health2026

Trends in long COVID among US adults, 2022-2024.

Xiaoli Jia, Jingjing Wang, Xiaomeng Cui, Ting Li, Yan Tian, Rui Lu, Yindi Tian, Xin Shen, Shuangsuo Dang, Wenjun Wang

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Xiaoli Jia *Department of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jingjing Wang *Department of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiaomeng CuiDepartment of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ting LiDepartment of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yan TianDepartment of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Rui LuDepartment of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yindi TianDepartment of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xin ShenMedical Record Center, Shaanxi Provincial People's Hospital, Xi'an, China.
Shuangsuo DangDepartment of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wenjun WangDepartment of Infectious Diseases, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Long COVID poses a significant public health challenge. However, population-level trends and associated factors in the general US population during the post-pandemic era are not fully characterized. Objective: To analyze trends in long COVID prevalence among US adults from 2022 to 2024, identify associated demographic and socioeconomic factors, and assess its impact on daily activities. Design setting and participants: We analyzed data from three cycles (2022-2024) of the National Health Interview Survey, a repeated cross-sectional, nationally representative survey. COVID-19 infection, long COVID, and daily activity limitation were determined through participant self-report. Daily activity limitation was assessed in 2023-2024. Multivariable Poisson regression identified factors associated with: (1) long COVID history and (2) significant activity limitation among those with current symptoms. All analyses incorporated survey weights to produce nationally representative estimates. Data analysis was conducted in October 2025. Results: The study included 88,731 adults (median age 47 years; 51.4% female and 48.6% male; 61.7% non-Hispanic White, 17.6% Hispanic, 11.8% non-Hispanic Black, and 8.9% non-Hispanic other). In the overall population, the prevalence of ever long COVID increased from 7.0% (95% CI, 6.6-7.3%) in 2022 to 8.4% (95% CI, 8.0-8.8%) in 2023, plateauing at 8.3% (95% CI, 7.9-8.7%) in 2024, while for current long COVID the prevalence remained stable (3.4% [95% CI, 3.1-3.6%] in 2022, 3.6% [95% CI, 3.3-3.9%] in 2023, and 3.3 [95% CI, 3.1-3.6%] in 2024). Among adults with prior COVID-19 infection, prevalence of both ever and current long COVID declined significantly, from 17.7 to 13.7% and from 8.6 to 5.5%, respectively. Long COVID was more common among women, adults in middle age (35-64 years), Hispanic or non-Hispanic White individuals, those who were widowed/separated/divorced, people with lower educational attainment, and individuals with incomes below the federal poverty threshold. Among those with current long COVID, 19.8% reported significant activity limitation, and this limitation was more common among older adults and individuals with lower incomes. Conclusions and relevance: From 2022 to 2024, long COVID continued to impose a substantial public health burden, with clear demographic and socioeconomic disparities. These findings underscore the necessity for continued surveillance and targeted support for high-risk groups.

Indexed as

COVID-19Activities of Daily LivingAdultAgedCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedPost-Acute COVID-19 SyndromePrevalenceSARS-CoV-2Socioeconomic FactorsUnited StatesCOVIDlong COVIDNational Health Interview SurveySARS-CoV-2socioeconomictrends

Identifiers

PMID42088257
PMCPMC13136101

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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.