ArticleJournal of clinical medicine2023
Systematic Item Content and Overlap Analysis of Self-Reported Multiple Sleep Disorder Screening Questionnaires in Adults.
Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- What Do Patient-Reported Sleep Measures Assess? A Content Analysis.Journal of sleep research · 2026Pooled it
- Impact of a ketogenic diet on sleep quality in people with relapsing multiple sclerosis.Sleep medicine · 2024Trial
- The 83 symptoms of tinnitus: Content overlap of commonly used scales for tinnitus burden.PloS one · 2026Article
- Observer-Independent Assessment of Content Overlap in Mental Health Questionnaires: Large Language Model-Based Study.JMIR AI · 2025Article
- 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
- Symptom content analysis of OSA questionnaires: time to identify and improve relevance of diversity of OSA symptoms?Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Content overlap of 91 dystonia symptoms among the seven most commonly used cervical dystonia scales.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 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.
Funding
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Abstract
Sleep disorders are defined on the basis of diagnostic criteria presented in medical classifications. However, no consensus has emerged on the exact list of operational symptoms that should be systematically investigated in the field of sleep medicine. We propose a systematic analysis of sleep symptoms that figure in a set of self-reported multiple sleep disorder screening questionnaires for adult populations, to identify the content overlap of symptoms that probe the presence of central sleep symptoms, and to highlight the potential level of heterogeneity among sleep disorder questionnaires. The method comprises three steps: (i) the selection of self-reported multiple sleep disorder screening questionnaires; (ii) item extraction and selection; (iii) the extraction of symptoms from items. Frequency of sleep symptoms and content overlap (Jaccard Index) are analyzed. We extracted 469 items that provide 60 different symptoms from 12 questionnaires. Insomnia, somnolence, and sleep-related breathing symptoms were found in all the questionnaires. The mean overlap among all questionnaires evaluated with the Jaccard Index is 0.44, i.e., moderate similarity. Despite limitations related to the selection of questionnaires and the symptom extraction and harmonization, this study underlines the need to standardize sleep symptom contents for sleep medicine in order to enhance the practicability, reliability, and validity of sleep disorder diagnoses.
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