Evidence map›Paper›PMID 37004627›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2023

Trajectories of health-related quality of life and their predictors in adult COVID-19 survivors: A longitudinal analysis of the Biobanque Québécoise de la COVID-19 (BQC-19).

Pamela Tanguay, Simon Décary, Samuel Lemaire-Paquette, Guillaume Léonard, Alain Piché, Marie-France Dubois, Dahlia Kairy, Gina Bravo, Hélène Corriveau, Nicole Marquis and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2023. 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
3.1field-weighted citation impact, top 8% of its field
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, 15 citations in OpenAlex.

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  4. The impact of testing positive versus negative for COVID-19 on health-related quality of life: cross-sectional evidence from the Alberta post-COVID-19 follow-up survey.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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  5. Validity of EQ-5D-5L breathing and cognition bolt-ons in non-hospitalized patients after COVID-19.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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  10. One-year trajectories of physical and mental health-related quality of life, fatigue and dyspnoea in COVID-19 survivors.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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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

13 authors at 5 institutions in 1 country.

Pamela TanguayÉcole de Réadaptation, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Canada.
Simon DécaryÉcole de Réadaptation, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Canada.
Samuel Lemaire-PaquetteCentre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada.
Guillaume LéonardÉcole de Réadaptation, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Canada.
Alain PichéDépartement de Microbiologie et d'Infectiologie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Canada.
Marie-France DuboisCentre de Recherche sur le Vieillessement de CIUSSS de l'Estrie-CHUS, Sherbrooke, Canada.
Dahlia KairyÉcole de Réadaptation, Centre de Recherche Interdisciplinaire en Réadaptation du Montréal Métropolitain (CRIR), Institut Universitaire sur la Réadaptation en Déficience Physique de Montréal (IURDPM), CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Université de Montréal, Montreal, Canada.
Gina BravoCentre de Recherche sur le Vieillessement de CIUSSS de l'Estrie-CHUS, Sherbrooke, Canada.
Hélène CorriveauÉcole de Réadaptation, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Canada.
Nicole MarquisÉcole de Réadaptation, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Canada.
Michel TousignantÉcole de Réadaptation, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Canada.
Michaël ChasséCentre de Recherche du Centre Hospitalier, Université de Montréal, Montreal, Canada.
Livia Pinheiro CarvalhoÉcole de Réadaptation, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Canada. livia.pinheiro.carvalho@usherbrooke.ca.
Université de Sherbrooke · CACentre Hospitalier Universitaire de Sherbrooke · CACentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal · CACentre for Interdisciplinary Research in Rehabilitation · CACentre Hospitalier de l’Université de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA significant number of people will experience prolonged symptoms after COVID-19 infection that will greatly impact functional capacity and quality of life. The aim of this study was to identify trajectories of health-related quality of life (HRQOL) and their predictors among adults diagnosed with COVID-19.

methodsThis is a retrospective analysis of an ongoing prospective cohort study (BQC-19) including adults (≥18y) recruited from April 2020 to March 2022. Our primary outcome is HRQOL using the EQ-5D-5L scale. Sociodemographic, acute disease severity, vaccination status, fatigue, and functional status at onset of the disease were considered as potential predictors. The latent class mixed model was used to identify the trajectories over an 18-month period in the cohort as a whole, as well as in the inpatient and outpatient subgroups. Multivariable and univariable regressions models were undertaken to detect predictors of decline.

results2163 participants were included. Thirteen percent of the outpatient subgroup (2 classes) and 28% in the inpatient subgroup (3 classes) experienced a more significant decline in HRQOL over time than the rest of the participants. Among all patients, age, sex, disease severity and fatigue, measured on the first assessment visit or on the first day after hospital admission (multivariable models), were identified as the most important predictors of HRQOL decline. Each unit increase in the SARC-F and CFS scores increase the likelihood of belonging to the declining trajectory (univariable models).

conclusionAlthough to different degrees, similar factors explain the decline in HRQOL over time among the overall population, people who have been hospitalized or not. Clinical functional capacity scales could help to determine the risk of HRQOL decline.

Indexed as

COVID-19Quality of LifeAdultHumansProspective StudiesRetrospective StudiesSurveys and QuestionnairesSurvivorsFunctional capacityFunctional statusPhysical functionPost COVID-19 conditionQuality of lifeTrajectory

Identifiers

PMID37004627
PMCPMC10066943
OpenAlexW4362523652

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.