ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2024
Symptom content analysis of OSA questionnaires: time to identify and improve relevance of diversity of OSA symptoms?
Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Investigation of the "Not Better Explained" Diagnosis Criteria in Sleep Disorder Classifications: A Systematic Content Analysis and Critical Review.Journal of sleep research · 2026Review
- Big data approaches for novel mechanistic insights on sleep and circadian rhythms: a workshop summary.Sleep · 2025Article
- A proposition of hybrid healthcare pathway to screen and diagnose obstructive sleep apnea: exploratory analysis of retrospective observational data.Sleep & breathing = Schlaf & Atmung · 2025Observational
- Clinical significance criteria in the ICSD and DSM sleep disorder classifications: a content overlap analysis using the Jaccard index.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025Review
- Oxytocin Receptor Polymorphism Is Associated With Sleep Apnea Symptoms.Journal of the Endocrine Society · 2024Article
- Clinical physiology of circadian rhythms: A systematic and hierarchized content analysis of circadian questionnaires.International journal of clinical and health psychology : IJCHPArticle
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectivesObstructive sleep apnea (OSA) is a heterogeneous condition covering many clinical phenotypes in terms of the diversity of symptoms. Patient-based OSA screening questionnaires used in routine practice contain significantly varying contents that can impact the reliability and validity of the screening. We investigated to what extent common patient-based OSA screening questionnaires differ or overlap in their item content by conducting a rigorous, methodical, and quantified content overlap analysis.
methodsWe conducted an item content analysis of 11 OSA screening questionnaires validated in adult populations and characterized their overlap using a 4-step approach: (1) selection of OSA screening questionnaires, (2) item extraction and selection, (3) extraction of symptoms from items, and (4) assessment of content overlap with the Jaccard index (from 0, no overlap, to 1, full overlap).
resultsWe extracted 72 items that provided 25 distinct symptoms from 11 selected OSA questionnaires. The overlap between them was weak (mean Jaccard index: 0.224; ranging from 0.138 to 0.329). All questionnaires contained symptoms of the "OSA symptom" dimension (eg, snoring or witnessed apneas). The STOP-BANG (0.329) and the Berlin (0.280) questionnaires exhibited the highest overlap content. Ten symptoms (40%) were investigated in only 1 questionnaire.
conclusionsThe heterogeneity of content and the low overlap across these questionnaires reflect the challenges of screening OSA. The different OSA questionnaires potentially capture varying aspects of the disorder, with the risk of biased results in studies. Suggestions are made for better OSA screening and refinement of clinical OSA phenotypes. CITATION: Gauld C, Baillieul S, Martin VP, et al. Symptom content analysis of OSA questionnaires: time to identify and improve relevance of diversity of OSA symptoms?
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