Negative self-referent cognition predicts future depression symptom change
An Intensive Sampling Approach
Bibliographic Data
| ID | 7149891 |
|---|---|
| Authors | Rachel L Weisenburger (0000-0002-3277-1657, The University of Texas at Austin, corresponding author), Justin Dainer-Best (0000-0002-1868-0337, Bard College), Mackenzie Zisser (0000-0002-8924-0072, The University of Texas at Austin), Mary E Mcnamara (0000-0001-7062-700X, The University of Texas at Austin), Christopher Beevers (0000-0002-4480-0902, The University of Texas at Austin), Christopher G Beevers (The University of Texas at Austin) |
| Year | 2025 |
| Volume | 39 |
| Issue | 4 |
| Pages | 829-843 |
| Publication date | 2025-05-19 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cognition & Emotion (JOURNAL) |
| Journal identifiers | ISSN: 0269-9931 • E-ISSN: 1464-0600 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/02699931.2024.2400298 |
| PMID | 39264587 |
| OpenAlex | W4402481321 |
| Language | EN |
| Citations received | 2 |
| References cited | 45 |
155, 833 measurements, 81% adherence). Random intercept cross-lagged panel models indicated large cross-lagged effects in two of the three samples (Samples 1 and 3 but not Sample 2), such that more negative self-referent thinking than usual was significantly associated with a subsequent increase in depression symptoms at the next time lag. Notably, change in depression from usual was not associated with increases in negative self-referent processing at the next time point in any sample. These findings suggest that change in negative self-referent processing may be causally linked to future increases in depression on a day-to-day and week-to-week basis, although confidence in this conclusion is tempered somewhat by a lack of replication in Sample 2
Cognition · Cognitive psychology · Developmental psychology · Experience sampling method · Metacognition · Psychiatry · Referent · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes · Clinical Psychology · Functional Brain Connectivity Studies · Mental Health Research Topics · Psychology · Social Psychology
Optimal time lags in panel studies.
Ambulatory Assessment
The Evolution of the Cognitive Model of Depression and Its Neurobiological Correlates
Constraints on Generality (COG)
Neural mechanisms of the cognitive model of depression
Effect size guidelines for cross-lagged effects.
JsPsych
Depression sum-scores don’t add up
Most people are not Weird
A critique of the cross-lagged panel model.
The PHQ-8 as a measure of current depression in the general population
The PHQ-9
Power Analysis for the Random Intercept Cross-Lagged Panel Model Using the powRICLPM R-Package
Three Extensions of the Random Intercept Cross-Lagged Panel Model
Depressed and nondepressed content self-reference in mild depressives
The Patient Health Questionnaire-2
Testing prospective effects in longitudinal research
A manifesto for reproducible science
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |