Evidence map›Paper›PMID 38916660›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2024

Portrait of mental health identified by people with the post-covid syndrome.

Nancy E Mayo, Stanley Hum, Mohamad Matout, Lesley K Fellows, Marie-Josée Brouillette

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2024. 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

5 authors.

Nancy E MayoDepartment of Medicine, School of Physical and Occupational Therapy, Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada. nancy.mayo@mcgill.ca.ORCID http://orcid.org/0000-0003-2066-7120
Stanley HumBrain Health Outcomes Platform (BHOP), Montreal Neurological Institute, McGill University, Montreal, Canada.
Mohamad MatoutDepartment of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada.ORCID http://orcid.org/0000-0002-9224-6360
Lesley K FellowsDepartment of Neurology & Neurosurgery, Montreal Neurological Institute, Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada.ORCID http://orcid.org/0000-0002-9144-092X
Marie-Josée BrouilletteDepartment of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada.

Funding

Fonds de Recherche du Québec - Santé na
6 · The paper itself

Abstract

objectivesThis study aimed to produce a patient-centered understanding of mental health symptoms of people with the post-COVID-19 syndrome (PCS).

methodsA cross-sectional analysis of 414 participants in a longitudinal study was carried out involving people who self-identified as having symptoms of PCS. People were asked to name their most frequent and most bothersome mental health symptoms affected by PCS using the structure of the Patient Generated Index (PGI). The text threads from the PGI were grouped into topics using BERTopic analysis.

results20 topics were identified from 818 text threads referring to PCS mental health symptoms. 35% of threads were identified as relating to anxiety, discussed in terms of five topics: generalized/social anxiety, fear/worry, post-traumatic stress, panic, and nervous. 29% of threads were identified as relating to low mood, represented by five topics: depression, discouragement, emotional distress, sadness, and loneliness. A cognitive domain (22% of threads) was covered by four topics referring to concentration, memory, brain fog, and mental fatigue. Topics related to frustration, anger, irritability. and mood swings (7%) were considered as one domain and there were separate topics related to motivation, insomnia, and isolation.

conclusionsThis novel method of digital transformation of unstructured text data uncovered different ways in which people think about classical mental health domains. This information could be used to evaluate whether existing measures cover the content identified by people with PCS, to initiate a clinical conversation, or to justify the development of a new measure of the mental health impact of PCS.

Indexed as

COVID-19Mental HealthSARS-CoV-2AdultAgedAnxietyCross-Sectional StudiesDepressionFemaleHumansLongitudinal StudiesMaleMiddle AgedPost-Acute COVID-19 SyndromeBertopic analysisMental healthPost-covid syndrome

Identifiers

What OpenQuestion holds

Textmetadata
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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.