TY - JOUR
T1 - Content analysis of insomnia questionnaires
T2 - A step to better evaluate the complex and multifaceted construct of insomnia disorder
AU - Coelho, Julien
AU - Sanchez-Ortuño, Maria Montserrat
AU - Martin, Vincent P.
AU - Gauld, Christophe
AU - Richaud, Alexandre
AU - Lopez, Régis
AU - Pelou, Marie
AU - Abi-Saab, Poeiti
AU - Philip, Pierre
AU - Geoffroy, Pierre Alexis
AU - Palagini, Laura
AU - Micoulaud-Franchi, Jean Arthur
N1 - Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/12
Y1 - 2023/12
N2 - Insomnia disorder is a mental disorder that includes various types of symptoms (e.g., insomnia initiating, worries, mood disturbances) and impairments (e.g., distress related to sleep alterations). Self-report questionnaires are the most common method for assessing insomnia but no systematic quantified analysis of their content and overlap has been carried out. We used content analysis and a visualization method to better identify the different types of clinical manifestations that are investigated by nine commonly used insomnia questionnaires for adults and the Jaccard index to quantify the degree to which they overlap. Content analysis found and visualized 16 different clinical manifestations classified into five dimensions (“Insomnia symptoms”, “Insomnia-related symptoms”, “Daytime symptoms”, “Insomnia-related impairments”, “Sleep behaviors”). The average Jaccard Index was 0.409 (moderate overlap in content). There is a lack of distinction between symptoms and impairments, and the assessment of sleep duration and hyperarousal symptoms remains overlooked. This preliminary analysis makes it possible to visualize the content of each of the nine questionnaires and to select the most appropriate questionnaire based on the issue to be addressed. Suggestions are made regarding the development of future questionnaires to better distinguish symptoms and impairments, and the different phenotypes of insomnia disorder.
AB - Insomnia disorder is a mental disorder that includes various types of symptoms (e.g., insomnia initiating, worries, mood disturbances) and impairments (e.g., distress related to sleep alterations). Self-report questionnaires are the most common method for assessing insomnia but no systematic quantified analysis of their content and overlap has been carried out. We used content analysis and a visualization method to better identify the different types of clinical manifestations that are investigated by nine commonly used insomnia questionnaires for adults and the Jaccard index to quantify the degree to which they overlap. Content analysis found and visualized 16 different clinical manifestations classified into five dimensions (“Insomnia symptoms”, “Insomnia-related symptoms”, “Daytime symptoms”, “Insomnia-related impairments”, “Sleep behaviors”). The average Jaccard Index was 0.409 (moderate overlap in content). There is a lack of distinction between symptoms and impairments, and the assessment of sleep duration and hyperarousal symptoms remains overlooked. This preliminary analysis makes it possible to visualize the content of each of the nine questionnaires and to select the most appropriate questionnaire based on the issue to be addressed. Suggestions are made regarding the development of future questionnaires to better distinguish symptoms and impairments, and the different phenotypes of insomnia disorder.
KW - Content analysis
KW - Insomnia
KW - Mental disorders
KW - Self-report questionnaires
KW - Symptom overlap
UR - http://www.scopus.com/inward/record.url?scp=85178203745&partnerID=8YFLogxK
UR - https://pubmed.ncbi.nlm.nih.gov/37944205
U2 - 10.1016/j.psychres.2023.115584
DO - 10.1016/j.psychres.2023.115584
M3 - Article
C2 - 37944205
AN - SCOPUS:85178203745
SN - 0165-1781
VL - 330
JO - Psychiatry Research
JF - Psychiatry Research
M1 - 115584
ER -