SynthesisPloS one2025
Revealing the evolution of behavioral activation research trends over two decades through keyword network analysis.
Synthesis in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundsBehavioral activation (BA) is recognized as an evidence-based therapy for depression and other mental health conditions. Using meta-analysis and systematic literature review to analyze the research trends is helpful, but it has limitations in understanding the flow and development of BA research. PURPOSE: This study aims to analyze BA research trends using keyword network analysis.
methodsThe study examined network characteristics, centrality, and cohesion by conducting Keyword network analysis (KNA) on BA -related studies from 2003 to 2023. The research was divided into two periods: 2003-2012 and 2013-2023.
resultsThe analysis revealed an increase in the number of keywords from 26 in the first period to in the second, along with a rise in average degree and keyword links. Notably, cancer research surged during the second period. In terms of centrality, the maximum value rose in the second period, with "Depression" maintaining the highest centrality in both periods. For eigenvector centrality, "Older adult" ranked highest in the first period, while "Psycho-oncology" took the lead in the second. Cohesion analysis showed that in the first period, "Depression" was linked to older adult inpatient care, dealing with issues like "Complicated bereavement," "Posttraumatic stress disorder," and "Cancer," as well as serving as a bridge for depression and smoking cessation. In the second period, the scope of "Depression" expanded to include older adult, university students, and children, with a focus on emotional variables, social support, and non-face-to-face interventions.
conclusionsThis study sheds light on the evolving landscape of research on BA therapy, highlighting its continuous expansion in addressing depression across diverse populations and settings. Our study is the first to provide a comprehensive overview of the research keywords over the past two decades, offering a knowledge map and flow. This contributes to facilitating practical application in clinical settings and understanding research trends related to BA therapy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.