ArticleBehaviour research and therapy2025
Emotion rigidity in adolescents prospectively predicts future depressive symptoms assessed via self-report and clinical interview.
Article in Behaviour research and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Using natural language processing to track negative emotions in the daily lives of adolescents.Journal of psychopathology and clinical science · 2026Article
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
Abstract
Adolescence is a critical developmental period marked by an elevated risk for Major Depressive Disorder (MDD). Identifying predictive risk factors is crucial for the development and timely delivery of preventative interventions. One potential risk factor is maladaptive and rigid emotion dynamics, which findings suggest is linked with depressive symptoms. Accordingly, to identify individuals at risk, the current study investigated whether emotional rigidity is a prospective predictor of depressive symptoms in adolescence using both self-reported and clinician-rated depression assessments. Adolescents (n = 117, aged 12-18) completed self-reported and clinician-rated measures of depressive symptoms at baseline and every 6 months for two years. Additionally, they received one month of ecological momentary assessment (EMA) surveys at baseline, reporting their emotions four times a day (n = 10,196). Multilevel vector autoregressive (mlVAR) models estimated temporal and contemporaneous density (operationalization of emotion rigidity) of subject-specific networks. Higher temporal and contemporaneous network density, as well as an aggregate density score, predicted greater future depressive symptoms controlling for baseline symptoms, as measured by either participants' self-report or clinician reports. Density emerged as a stronger predictor of future depression than any specific emotion inertia (i.e., predictability of one emotion state). Additionally, and supporting incremental predictive validity, temporal and aggregated density scores predicted future clinician-rated depression, and the aggregated score predicted self-reported depression, over and above mean levels of negative and positive affect. Collectively, these findings may have significant clinical implications for early identification and targeted preventative interventions among youth at risk of future depression by virtue of relatively rigid emotion dynamics.
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.