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Enregistrement W4417153602 · doi:10.1093/sleep/zsaf389

From sleepless nights to brighter days: tackling insomnia to prevent the development of depression in cancer survivors

2025· article· en· W4417153602 sur OpenAlexaff
Josée Savard

Notice bibliographique

RevueSLEEP · 2025
Typearticle
Langueen
DomainePsychology
ThématiqueSleep and related disorders
Établissements canadiensUniversité Laval
Organismes subventionnairesnon disponible
Mots-clésInsomniaDepression (economics)CancerSleep (system call)Sleep disorderAnxiety

Résumé

récupéré en direct d'OpenAlex

Dear Editor, Insomnia is one of the most common psychological problems reported by cancer patients, affecting 30%–60% of them at some point during their treatment trajectory [1]. When left untreated, insomnia, particularly at the syndrome level, persists for months in a substantial proportion of patients [2]. Yet, too often insomnia remains undetected and undertreated. Chronic insomnia takes a heavy toll on the individual and society. Consequences of persistent insomnia include increased symptoms that are already frequent in cancer patients, such as psychological distress, fatigue, and cognitive disturbances. While the evidence remains inconclusive regarding whether insomnia increases cancer-related mortality [3], our work showed that it is associated with a higher risk of febrile neutropenia and infections during chemotherapy, as well as with treatment dose reductions [4, 5], underscoring the clinical significance of insomnia. Large-scale epidemiological studies conducted in non-cancer individuals have consistently found insomnia to be a risk factor for the subsequent development of other psychological disorders such as depressive, anxiety, and substance-use disorders [6]. The most recent study by Irwin and collaborators [7] published in the current issue of Sleep, supports the role of insomnia as a risk factor for depression in the context of cancer specifically. In their compelling and rigorous population-based prospective cohort study, Irwin et al. [7] followed for over 32 months 636 non-depressed women aged between 55 and 85 years, among whom 315 were early-stage (stages 0–II) breast cancer survivors on average, 6 years post-diagnosis and 321 aged-matched women with no history of breast cancer. Patients were stratified on the presence or absence of insomnia at baseline. The incidence or recurrence of a major depressive disorder (DSM-5 diagnosis) was the main dependent variable. Importantly, the study controlled for many possible confounders including vasomotor symptoms. Results showed that the risk of depression was nearly six times higher in breast cancer survivors as compared to women with no history of breast cancer. Insomnia was associated with a further increase in depression risk in breast cancer survivors, but not in the comparison group. Breast cancer survivors with insomnia had an over nine-fold higher risk of depression than the comparison group. Overall, the study findings suggest that insomnia is a significant risk factor for depression in breast cancer survivors. Obviously, as in any study, this investigation is not without limitations. In addition to those acknowledged by the authors (i.e. possible selection bias limiting the results’ generalizability, insomnia ascertained by a self-report scale rather than an interview), another limitation is related to insomnia being assessed on one occasion only. Insomnia typically has a fluctuating course [8]. Future research should take repeated measures of insomnia and consider its persistence, since chronic insomnia is more likely to have a deleterious impact on patients’ mood than occasional or transient sleep difficulties. However, the fact that a history of DSM-5 insomnia disorder was also predictive of subsequent depression further reinforces this finding. Furthermore, causality cannot be established with certainty between insomnia and the occurrence of depression from an observational study like this. Irwin et al. [7] found that antecedents of depression were also predictive of the development of depression. Hence, it could simply be that persons with a history of depression were more likely to develop depression after their cancer diagnosis. Indeed, a personal history of depression is a well-established risk factor of cancer-related depression [9]. Insomnia would only then be an epiphenomenon. Reverse causality is also possible with antecedents of depression leading to insomnia. Clinical trials are particularly likely to shed light on the causal link between insomnia and depression. A handful of studies conducted in non-cancer populations have shown that offering cognitive-behavioral therapy for insomnia (CBT-I) was associated with a decreased risk of incident depression [10]. The previous trial by Irwin et al. [11] in older adults convincingly supports the role of CBT-I in preventing the onset of depression. These studies add weight to the idea that insomnia has a causal role in the development of depression. While the preventive effect of CBT-I remains to be demonstrated in the cancer context, there is enough strong evidence supporting the systematic screening for insomnia and the integration of CBT-I in routine cancer care. With regard to screening, Irwin et al. [7] suggest using the Insomnia Severity Index (ISI) [12]. The ISI is a psychometrically sound questionnaire that is widely used in research. Although it is relatively brief (seven items), it is unlikely that a multi-item questionnaire could be administered in routine care to detect every potential cancer-related symptom that patients might experience. In a previous study, we found that an effective alternative was to add a single sleep item to the Edmonton Symptom Assessment System-Revised [13], which is already implemented in many cancer centers in North America to systematically screen psychological distress. In terms of treatment, CBT-I is the recommended first-line treatment for chronic insomnia and its efficacy has been demonstrated in a wealth of clinical trials conducted in cancer patients [14, 15]. However, accessibility to this treatment remains a challenge in spite of the increasing evidence supporting the efficacy of low-intensity interventions (e.g. web-based [16–19]) and stepped care CBT-I which integrates a self-help intervention as the first step [20]. Preliminary findings of our current implementation study are encouraging and suggest that it is feasible to implement a stepped care CBT-I in routine cancer care (Savard et al., in preparation). Scalable alternatives suggested by Irwin et al. [7] include Tai Chi and mindfulness-based stress reduction (MBSR) but their efficacy is not as firmly established to treat cancer-related insomnia and one of them (MBSR) was found to be inferior to CBT-I in producing short-term insomnia improvements [21]. From a public health perspective, it is crucial to better communicate to the public and decision-makers about the benefits of treating insomnia early on, in order to reduce the burden and societal costs associated with depression which include increased health care costs and productivity loss. The message needs to be put out there that CBT-I is a fairly straightforward and low-cost intervention that can prevent the development of other psychological disorders that are more complex and costly to treat such as depressive disorders. When offered face-to-face, CBT-I is typically composed of 4–8 sessions, which is considerably shorter than treating a major depressive episode with CBT or any other type of psychotherapy. Low-intensity interventions such as web-based CBT-I cost even less with a somewhat equivalent efficacy. Insomnia is a prevalent and often overlooked issue among cancer survivors, with growing evidence pointing to its role in the development of depression. The study by Irwin et al. adds compelling support to the argument that insomnia is a significant risk factor for psychological disorders in this population. While further research is needed to clarify causality, the current evidence justifies the immediate inclusion of systematic insomnia screening and access to CBT-I in routine cancer care. Addressing insomnia proactively may not only improve sleep but also serve as a preventive measure against the appearance of more severe psychological disorders. Financial disclosure: None. Non-financial disclosure: None.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,312
Écart entre enseignants0,299 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentnon

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