Evidence map›Paper›PMID 42114957›Full record

ArticleBMJ paediatrics open2026

"It's sad, and I want to go back to how things were before": a qualitative study of young people's experiences of living with long COVID.

Kajsa Järvholm, Maria Bygdell, Johan Dreifaldt, Elin Åkesson, Tove Lundberg

Abstract read
In one paragraph

Article in BMJ paediatrics open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

5 authors.

Kajsa JärvholmDepartment of Psychology, Lund University, Lund, Sweden kajsa.jarvholm@psy.lu.se.ORCID http://orcid.org/0000-0002-0779-4910
Maria BygdellDepartment of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Johan DreifaldtDepartment of Psychology, Lund University, Lund, Sweden.
Elin ÅkessonDepartment of Psychology, Lund University, Lund, Sweden.
Tove LundbergDepartment of Psychology, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong COVID is a newly recognised condition that also affects children and young people (CYP). However, little is known about how it impacts their daily lives and well-being from their own perspective. This study aimed to explore the lived experiences of CYP living with long COVID.

methodsSwedish-speaking CYP who developed long COVID before the age of 18 years were invited to participate in semistructured interviews. Between February and September 2024, seven CYP (four girls and three boys) participated (mean interview duration=51 min). Data were analysed using reflexive thematic analysis to identify codes and then themes with related subthemes.

resultsTwo main themes were generated. The first main theme 'I am stumbling in the dark: Living with unpredictability and limitations' covers how CYP were affected by the consequences of long COVID. The subtheme 'How do I live and function now?

conclusionsLong COVID negatively impacted the CYP's lives, affecting their relationships, education, leisure activities and sense of identity. Dismissive and sceptical attitudes from professionals and peers substantially increased the burden, whereas encountering acceptance and knowledgeable professionals facilitated coping with long COVID.

Indexed as

COVID-19Adaptation, PsychologicalAdolescentChildFemaleHumansInterviews as TopicMalePost-Acute COVID-19 SyndromeQualitative ResearchSARS-CoV-2SwedenAdolescent HealthCOVID-19Qualitative research

Identifiers

PMID42114957
PMCPMC13182309

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.