Evidence map›Paper›PMID 41080863›Full record

ArticleFrontiers in public health2025

Prevalence of post COVID-19 condition and associations with risk factors among U.S. adults: 2023 Behavioral Risk Factor Surveillance System.

Gregory W Heath, David Levine, Gloria Oppong, Majdi Alghader

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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. Review
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

4 authors.

Gregory W HeathDepartment of Health and Human Performance, College of Health, Education, and Professional Studies, University of Tennessee at Chattanooga, Chattanooga, TN, United States.
David LevineDepartment of Physical Therapy, University of Tennessee at Chattanooga, Chattanooga, TN, United States.
Gloria OppongDepartment of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN, United States.
Majdi AlghaderOffice of Research Integrity, University of Tennessee at Chattanooga, Chattanooga, TN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: During the COVID-19 pandemic, between 12 and 20% of US adults were identified as having post-COVID-19 condition, commonly referred to as 'Long COVID'. These individuals maintained symptoms of COVID-19 for 3 months or longer following their illness but lacked an active infection. Using the Center for Disease Control's 2023 Behavioral Risk Factor Surveillance System, our hypotheses were that adults who did not meet the 2018 Physical Activity Guidelines for Americans for aerobic and strengthening activities, those not fully vaccinated against COVID-19, and those with certain non-communicable diseases would be at greater odds of reporting post COVID-19 conditions. Methods: The association of post COVID-19 conditions were examined among the 46.4% of adults 18 years and older who had tested positive for COVID-19 ( Results: Adults ( Discussion: The present findings support the hypothesis that adults who were female, did not achieve the Physical Activity Guidelines, were not fully vaccinated, and had certain non-communicable diseases demonstrated a stronger association with reporting post COVID-19 conditions following COVID-19 infection.

Indexed as

COVID-19AdolescentAdultAgedBehavioral Risk Factor Surveillance SystemExerciseFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsSARS-CoV-2United StatesYoung Adultbehavioral risk factorschronic health conditionsCOVID-19long-COVIDnon-communicable diseasesphysical activitypost COVID-19 conditionSARS-CoV-2

Identifiers

PMID41080863
PMCPMC12507904

What OpenQuestion holds

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Registered trials

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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.