Who benefits from indirect prevention and treatment of depression using an online intervention for insomnia? Results from an individual-participant data meta-analysis.
decission tree
depression
individual participant data
insomnia
moderation analysis
online intervention
participant characteristics
prevention
Journal
Psychological medicine
ISSN: 1469-8978
Titre abrégé: Psychol Med
Pays: England
ID NLM: 1254142
Informations de publication
Date de publication:
12 Mar 2024
12 Mar 2024
Historique:
medline:
12
3
2024
pubmed:
12
3
2024
entrez:
12
3
2024
Statut:
aheadofprint
Résumé
Major depressive disorder (MDD) is highly prevalent and burdensome for individuals and society. While there are psychological interventions able to prevent and treat MDD, uptake remains low. To overcome structural and attitudinal barriers, an indirect approach of using online insomnia interventions seems promising because insomnia is less stigmatized, predicts MDD onset, is often comorbid and can outlast MDD treatment. This individual-participant-data meta-analysis evaluated the potential of the online insomnia intervention Efficacy on depressive symptom outcomes was evaluated using multilevel regression models controlling for baseline severity. To identify potential effect moderators, clinical, sociodemographic, and work-related variables were investigated using univariable moderation and random-forest methodology before developing a multivariable decision tree. IPD were obtained from four of seven eligible studies ( An online insomnia intervention is a promising approach to effectively reduce DSS in a preventive and treatment setting.
Sections du résumé
BACKGROUND
BACKGROUND
Major depressive disorder (MDD) is highly prevalent and burdensome for individuals and society. While there are psychological interventions able to prevent and treat MDD, uptake remains low. To overcome structural and attitudinal barriers, an indirect approach of using online insomnia interventions seems promising because insomnia is less stigmatized, predicts MDD onset, is often comorbid and can outlast MDD treatment. This individual-participant-data meta-analysis evaluated the potential of the online insomnia intervention
METHODS
METHODS
Efficacy on depressive symptom outcomes was evaluated using multilevel regression models controlling for baseline severity. To identify potential effect moderators, clinical, sociodemographic, and work-related variables were investigated using univariable moderation and random-forest methodology before developing a multivariable decision tree.
RESULTS
RESULTS
IPD were obtained from four of seven eligible studies (
CONCLUSIONS
CONCLUSIONS
An online insomnia intervention is a promising approach to effectively reduce DSS in a preventive and treatment setting.
Identifiants
pubmed: 38469832
doi: 10.1017/S0033291724000527
pii: S0033291724000527
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM