Depressive and stress symptoms in insomnia patients predict group cognitive-behavioral therapy for insomnia long-term effectiveness: A data-driven analysis.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
15 06 2021
Historique:
received: 05 02 2021
revised: 09 04 2021
accepted: 15 04 2021
pubmed: 13 5 2021
medline: 6 7 2021
entrez: 12 5 2021
Statut: ppublish

Résumé

Insomnia Disorder is characterized by high degree of phenotypic heterogeneity, that might influence treatment response. 123 of 294 insomnia patients initially recruited (66.7% females, age=40.59±11.89) were assessed before and after group Cognitive-Behavioral Therapy for Insomnia (CBT-I), as well as at follow-up (7.8±1.6 years after the end-of-treatment). By use of latent class analysis (LCA) we identified insomnia subtypes according with baseline scores of insomnia severity and features, anxiety, depression, stress and sleepiness symptoms, circadian rhythm, and treatment effectiveness (Delta score of Insomnia Severity Index-ISI between baseline and end-of-treatment). By LCA we revealed three classes: "PURE INSOMNIA", "INSOMNIA+ANXIETY+DEPRESSION+STRESS", and "INSOMNIA+ANXIETY". The improvements in insomnia severity was maintained up to 10 years after the end-of-treatment, but with differences between classes (p<0.05). Class "INSOMNIA+ANXIETY+DEPRESSION+STRESS" showed at the end-of-treatment the largest percentage of responders (63.5% = Insomnia Severity Index decrease ≥8). However, at follow up the effect was less and 48.1% had a moderate or severe insomnia (Insomnia Severity Index >14). The lack of a control group and the absence of a complete clinical assessment at the follow-up limit the interpretability of our results. Our data driven analysis suggest insomnia heterogeneity can be categorized into sub-classes by depression, anxiety, and stress symptoms. In addition, insomnia patients with stress and depression symptoms maintained highest percentage of clinical depression at the end-of-treatment and insomnia at follow-up, in comparison with others classes. Stress and depression symptoms should be considered risk factors that play an important role in the long-term outcome of CBT-I.

Sections du résumé

BACKGROUND
Insomnia Disorder is characterized by high degree of phenotypic heterogeneity, that might influence treatment response.
METHODS
123 of 294 insomnia patients initially recruited (66.7% females, age=40.59±11.89) were assessed before and after group Cognitive-Behavioral Therapy for Insomnia (CBT-I), as well as at follow-up (7.8±1.6 years after the end-of-treatment). By use of latent class analysis (LCA) we identified insomnia subtypes according with baseline scores of insomnia severity and features, anxiety, depression, stress and sleepiness symptoms, circadian rhythm, and treatment effectiveness (Delta score of Insomnia Severity Index-ISI between baseline and end-of-treatment).
RESULTS
By LCA we revealed three classes: "PURE INSOMNIA", "INSOMNIA+ANXIETY+DEPRESSION+STRESS", and "INSOMNIA+ANXIETY". The improvements in insomnia severity was maintained up to 10 years after the end-of-treatment, but with differences between classes (p<0.05). Class "INSOMNIA+ANXIETY+DEPRESSION+STRESS" showed at the end-of-treatment the largest percentage of responders (63.5% = Insomnia Severity Index decrease ≥8). However, at follow up the effect was less and 48.1% had a moderate or severe insomnia (Insomnia Severity Index >14).
LIMITATIONS
The lack of a control group and the absence of a complete clinical assessment at the follow-up limit the interpretability of our results.
CONCLUSIONS
Our data driven analysis suggest insomnia heterogeneity can be categorized into sub-classes by depression, anxiety, and stress symptoms. In addition, insomnia patients with stress and depression symptoms maintained highest percentage of clinical depression at the end-of-treatment and insomnia at follow-up, in comparison with others classes. Stress and depression symptoms should be considered risk factors that play an important role in the long-term outcome of CBT-I.

Identifiants

pubmed: 33979721
pii: S0165-0327(21)00345-1
doi: 10.1016/j.jad.2021.04.021
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

117-124

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Marco Sforza (M)

Sleep Disorder Center, Vita-Salute San Raffaele University, Milan, Italy.

Andrea Galbiati (A)

Sleep Disorder Center, Vita-Salute San Raffaele University, Milan, Italy.

Marco Zucconi (M)

Sleep Disorder Center, San Raffaele Hospital Milan, Italy.

Francesca Casoni (F)

Sleep Disorder Center, San Raffaele Hospital Milan, Italy.

Michael Hensley (M)

Department of Respiratory and Sleep Medicine, John Hunter Hospital, New Lambton, NSW, Australia.

Luigi Ferini-Strambi (L)

Sleep Disorder Center, Vita-Salute San Raffaele University, Milan, Italy; Sleep Disorder Center, San Raffaele Hospital Milan, Italy. Electronic address: ferinistrambi.luigi@hsr.it.

Vincenza Castronovo (V)

Sleep Disorder Center, San Raffaele Hospital Milan, Italy.

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