Observational studyPloS one2026
Understanding quality-of-life patterns in long COVID: How Symptoms and socioeconomic conditions shape patient wellbeing.
Observational study in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo characterize the heterogeneity of Long COVID (LC) by identifying distinct patient profiles based on symptoms and quality of life (QoL), and to examine the sociodemographic and clinical predictors associated with these profiles. STUDY
designA cross-sectional observational study was conducted.
methodsWe recruited 363 patients with LC in Spain via an online survey. Symptom patterns were identified through latent class analysis of 15 binary symptoms. QoL was assessed with the patient-derived LC-6D-QoL across six dimensions, and cluster analysis defined QoL subgroups. Logistic regression was applied to examine clinical and sociodemographic predictors of QoL profiles.
resultsTwo symptom profiles emerged: a low-burden profile, dominated by fatigue and cognitive problems, and a high-burden profile with multisystem involvement. QoL clustered into three profiles-high, middle, and low QoL-with more than half of participants in the low QoL group. Symptom burden and employment status were the strongest predictors of poor QoL, whereas age, sex, education, and income showed limited associations. Social support was more frequently reported among participants with low QoL.
conclusionsLC is characterized by distinct clinical and QoL profiles, with strong interactions between multisystem symptom burden and social determinants. Identifying patients at greatest risk of poor QoL can inform stratified interventions and integrated policies that combine medical care, psychosocial support, and workplace reintegration.
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