TY - JOUR
T1 - Explaining the Efficacy of an Internet-Based Behavioral Activation Intervention for Major Depression
T2 - A Mechanistic Study of a Randomized-Controlled Trial
AU - Fu, Zhongfang
AU - Burger, Huibert
AU - Arjadi, Retha
AU - Nauta, Maaike H.
AU - Bockting, Claudi L. H.
N1 - Funding Information: Funding: This work was supported by the Indonesia Endowment Fund for Education (Lembaga Pengelola Dana Pendidikan), Ministry of Finance, Republic of Indonesia (no. 790/LPDP/2013) and by a Chinese Scholarship Council Grant (no. 201606040157). The funding sources had no role in the design or execution of the research. Funding Information: Competing Interests: MHN reports grants from the Indonesia Endowment Fund for Education (awarded to RA for a PhD at the University of Groningen) during the study, development, and translation of the cognitive behavioral therapy treatment manuals, including a blended internet-based treatment program unrelated to the current project, for which she receives no direct payments. MHN also reports travel expenses, some subsistence, and speaker honoraria for lectures and clinical training workshops paid for by mental health centers. CLHB developed the intervention used in this study but has received no direct payment. She reports grants from the Indonesia Endowment Fund for Education (awarded to RA for a PhD at the University of Groningen) during the study, is a member of the Dutch multidisciplinary guideline for anxiety and depression (non-remunerated), a co-editor of PLoS One and European Psychology (non-remunerated), and a member of the scientific board in the Dutch national statutory insured package, for which she receives an honorarium. She has received honoraria for keynote addresses at the European Association for Behavioral and Cognitive Therapies, the European Psychiatry Association, and the European Conference Association, as well as for clinical training workshops (paid by mental health centers). She also receives book royalties. All other authors declare no competing interests. RA reports grants from the Indonesia Endowment Fund for Education (awarded to complete a PhD program at the University of Groningen, during which data collection took place for the current study). ZF and HB have no conflicts of interest to declare. Publisher Copyright: © 2021 PsychOpen. All Rights Reserved.
PY - 2021/9/1
Y1 - 2021/9/1
N2 - Background: Behavioral activation is an effective treatment for depression that is theorized to facilitate structured increases in enjoyable activities that increase opportunities for contact with positive reinforcement; to date, however, only few mechanistic studies focused on a standalone intervention. Method: Interventions using internet-based behavioral activation or psychoeducation were compared based on data from a randomized-controlled trial of 313 patients with major depressive disorder. Activation level and depression were measured fortnightly (baseline, Weeks 2, 4, 6, 8, 10), using the Patient Health Questionnaire-9 and the Behavioral Activation for Depression Scale-Short Form, respectively. Analysis was performed to determine if a change in activation level mediated treatment efficacy. Results: Latent growth modeling showed that internet-based behavioral activation treatment significantly reduced depressive symptoms from baseline to the end of treatment (standardized coefficient = −.13, p = .017) by increasing the rate of growth in the activation level (mediated effect).
AB - Background: Behavioral activation is an effective treatment for depression that is theorized to facilitate structured increases in enjoyable activities that increase opportunities for contact with positive reinforcement; to date, however, only few mechanistic studies focused on a standalone intervention. Method: Interventions using internet-based behavioral activation or psychoeducation were compared based on data from a randomized-controlled trial of 313 patients with major depressive disorder. Activation level and depression were measured fortnightly (baseline, Weeks 2, 4, 6, 8, 10), using the Patient Health Questionnaire-9 and the Behavioral Activation for Depression Scale-Short Form, respectively. Analysis was performed to determine if a change in activation level mediated treatment efficacy. Results: Latent growth modeling showed that internet-based behavioral activation treatment significantly reduced depressive symptoms from baseline to the end of treatment (standardized coefficient = −.13, p = .017) by increasing the rate of growth in the activation level (mediated effect).
KW - Behavioral activation
KW - Depression
KW - Internet-based intervention
KW - Lay counselors
KW - Psychological interventions
KW - Working mechanisms
UR - http://www.scopus.com/inward/record.url?scp=85117492212&partnerID=8YFLogxK
U2 - https://doi.org/10.32872/cpe.5467
DO - https://doi.org/10.32872/cpe.5467
M3 - Article
C2 - 36398097
SN - 2625-3410
VL - 3
JO - Clinical Psychology in Europe
JF - Clinical Psychology in Europe
IS - 3
M1 - A5
ER -