Prognostic factors and effect modifiers for personalisation of internet-based cognitive behavioural therapy among university students with subthreshold depression: A secondary analysis of a factorial trial

Autor: Rie Toyomoto, Masatsugu Sakata, Kazufumi Yoshida, Yan Luo, Yukako Nakagami, Teruhisa Uwatoko, Tomonari Shimamoto, Ethan Sahker, Aran Tajika, Hidemichi Suga, Hiroshi Ito, Michihisa Sumi, Takashi Muto, Masataka Ito, Hiroshi Ichikawa, Masaya Ikegawa, Nao Shiraishi, Takafumi Watanabe, Edward R. Watkins, Hisashi Noma, Masaru Horikoshi, Taku Iwami, Toshi A. Furukawa
Rok vydání: 2023
Předmět:
Zdroj: Journal of Affective Disorders. 322:156-162
ISSN: 0165-0327
Popis: BACKGROUND: Internet-cognitive behavioural therapy (iCBT) for depression can include multiple components. This study explored depressive symptom improvement prognostic factors (PFs) and effect modifiers (EMs) for five common iCBT components including behavioural activation, cognitive restructuring, problem solving, self-monitoring, and assertion training. METHODS: We used data from a factorial trial of iCBT for subthreshold depression among Japanese university students (N=1093). The primary outcome was the change in PHQ-9 scores at 8weeks from baseline. Interactions between each component and various baseline characteristics were estimated using a mixed-effects model for repeated measures. We calculated multiplicity-adjusted p-values at 5% false discovery rate using the Benjamini-Hochberg procedure. RESULTS: After multiplicity adjustment, the baseline PHQ-9 total score emerged as a PF and exercise habits as an EM for self-monitoring (adjusted p-values
Databáze: OpenAIRE