Evidence map›Paper›PMID 41474983›Full record

Observational studyJMIR formative research2025

Characterization of Post-Viral Infection Behaviors Among Patients With Long COVID: Prospective, Observational, Longitudinal Cohort Analyses of Fitbit Data and Patient-Reported Outcomes.

Tianmai M Zhang, Sydney P Sharp, John D Scott, Douglas Taren, Jane C Samaniego, Elizabeth R Unger, Jeanne Bertolli, Jin-Mann S Lin, Christian B Ramers, Job G Godino

Erratum issuedAbstract readObservational Study
In one paragraph

Observational study in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Tianmai M ZhangLaura Rodriguez Research Institute, Family Health Centers of San Diego, San Diego, CA, United States.ORCID 0000-0003-2486-851X
Sydney P SharpLaura Rodriguez Research Institute, Family Health Centers of San Diego, San Diego, CA, United States.ORCID 0000-0003-4351-4725
John D ScottDepartment of Medicine, University of Washington, Seattle, WA, United States.ORCID 0000-0002-1396-4912
Douglas TarenDepartment of Pediatrics, Nutrition Section, University of Colorado, Aurora, CO, United States.ORCID 0000-0002-1688-3288
Jane C SamaniegoLaura Rodriguez Research Institute, Family Health Centers of San Diego, San Diego, CA, United States.ORCID 0000-0002-7543-6664
Elizabeth R UngerNational Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-2925-5635
Jeanne BertolliNational Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-9890-8145
Jin-Mann S LinNational Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-8286-6593
Christian B RamersLaura Rodriguez Research Institute, Family Health Centers of San Diego, San Diego, CA, United States.ORCID 0000-0003-2419-2054
Job G GodinoLaura Rodriguez Research Institute, Family Health Centers of San Diego, San Diego, CA, United States.ORCID 0000-0002-4852-6277

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong COVID encompasses a range of health problems that can be highly debilitating. While some research has relied on self-reported measures of symptoms and functioning, few studies have characterized symptoms in relation to behaviors and physiology measured objectively through wearable devices.

objectiveThe primary aim of this study was to identify longitudinal patterns in physical activity, physiology, and patient-reported outcomes (PROs) among patients with long COVID at a Federally Qualified Health Center in the United States. The secondary aim was to identify meaningful subgroups or phenotypes within this cohort and examine how PROs and symptoms overlay with physical activity characteristics.

methodsThis was a prospective, observational, longitudinal cohort study recruiting a subset of low-income patients enrolled in the Long COVID and Fatiguing Illness Recovery Program. From March 2022 to May 2023, a total of 172 patients with long COVID or myalgic encephalomyelitis/chronic fatigue syndrome were given Fitbit Charge 5 (Fitbit Inc) devices and instructed to wear them continuously for up to a year. Patients completed PRO questionnaires (PROMIS-29 [Patient-Reported Outcomes Measurement Information System-29] and symptom questionnaires, etc) at baseline, 3, and 6 months. Inclusion in longitudinal analysis required at least 20 hours of valid wear data per day for a minimum of 7 days. The World Health Organization guideline on moderate to vigorous physical activity (MVPA) was used to differentiate MPVA-active and MVPA-inactive patients. Linear mixed effects regression was performed to assess longitudinal associations between physical activity levels and PROs.

resultsAmong 172 patients, 80.2% (n=138) were female, 75.6% (n=130) were White, 45.3% (n=78) were unemployed, and 94.8% (n=163) had estimated annual income below US $50,000. Of these patients, 82 (47.7%) met valid wear criteria, providing 50.5 days of Fitbit data on average. At baseline, MVPA-inactive patients (n=41) reported statistically more severe problems regarding physical function, fatigue, and dyspnea than MVPA-active patients (n=41) on both continuous and categorical scales, with P<.05 from both Student t tests (2-tailed) and chi-squared tests. Longitudinal analysis found that MVPA-inactive patients showed a decreased ability to participate in social roles (estimated group difference=-4.21 T-score points over 3 months, 95% CI -6.64 to -1.78, P<.001) and a higher intensity of sleep symptoms (estimated group difference=2.06 severity score points over 3 months, 95% CI 0.40 to 3.71, P=.02) over time.

conclusionsThis study showed that patients with long COVID could remain MVPA-active despite experiencing symptoms. These findings provide insights into the relationship between PROs, physical activity, and long COVID, which suggests the importance of considering individual activity profiles when tailoring treatment plans, especially in a low-income population. The findings of this study should be interpreted as hypothesis-generating, considering its exploratory nature and limitations, including high attrition rates and missing data.

Indexed as

ExerciseFatigue Syndrome, ChronicFitness TrackersPatient Reported Outcome MeasuresPost-Acute COVID-19 SyndromeAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesSARS-CoV-2Wearable Electronic DevicesFitbitlong COVIDmobile phoneobjective physical activityphenotypepost-viral infection behaviorswearable device

Identifiers

PMID41474983
PMCPMC12805324

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.