ArticlePsychiatry research2020
Identify depressive phenotypes by applying RDOC domains to the PHQ-9.
Article in Psychiatry research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- Thyroid dysfunction and Research Domain Criteria framework-based depression phenotypes: Insights from a historical longitudinal cohort.Journal of affective disorders · 2026Article
- Adaptation to San Martín Quechua and psychometric analysis of the Patient Health Questionnaire (PHQ-9) in Peruvian adults.BMC psychology · 2026Article
- Psychometric evaluation of the patient health questionnaire-9 in helping professionals: factor structure, gender invariance, and construct validity.Scientific reports · 2026Article
- Decolonizing mental health: how native languages reshape depression network architecture in 31,276 Peruvians.Scientific reports · 2025Article
- Longitudinal validation of the Maudsley 3-item visual analogue scale (M3VAS): a new, brief, patient-reported outcome measure of depression.BJPsych open · 2025Article
- Article
- Spiritual wellbeing and psychiatric comorbidity among patients with advanced-stage solid tumor cancer.Indian journal of psychiatry · 2025Article
- Familial risk for depression is associated with reduced physical activity in young adults: evidence from a wrist-worn actigraphy study.Translational psychiatry · 2024Article
- Identifying a stable and generalizable factor structure of major depressive disorder across three large longitudinal cohorts.Psychiatry research · 2024Article
- Rethinking the risk for depression using the RDoC: A psychophysiological perspective.Frontiers in psychology · 2023Review
- Using the Research Domain Criteria as a framework to integrate psychophysiological findings into stress management and psychotherapy interventions.Frontiers in neuroergonomics · 2023Article
- Differential Associations Between Depressive Symptom-Domains With Anxiety, Loneliness, and Cognition in a Sample of Community Older Chinese Adults: A Multiple Indicators Multiple Causes Approach.Innovation in aging · 2023Article
- Mood and anxiety disorders within the Research Domain Criteria framework of Positive and Negative Valence Systems: a scoping review.Frontiers in human neuroscience · 2023Article
- The factor structure of major depressive symptoms in a sample of Chinese earthquake survivors.BMC psychiatry · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Major depression consists of multiple phenotypic traits. Our objective was to characterize depressive phenotypes in the patient health questionnaire (PHQ)-9 using the Research Domain Criteria (RDoC) research framework. Cross-sectional data were examined from the 2013-2014 (N = 5397) and 2015-2016 (N = 5164) National Health and Nutrition Examination Survey, a large, nationally representative U.S. sample. Using both factor analysis and qualitative analysis in mapping scale items along RDoC domains, a four factor model was found to be theoretically appropriate and had an excellent model fit for the PHQ-9. The factor structure consisted of phenotypes describing Negative Valence Systems and Externalizing (anhedonia and depression), Negative Valence Systems and Internalizing (depression, guilt and self-harm), Arousal and Regulatory Systems (sleep, fatigue and appetite) and Cognitive and Sensorimotor Systems (concentration and psychomotor). High correlation between these phenotypes did indicate screening and monitoring for depression study population using a single depression score is likely useful in most circumstances. In multiple indicator multiple cause analysis, differences in the means of the phenotypic traits were found by age, race/ethnicity, sex, and number of comorbidities. Future research should explore whether phenotype expression derived from readily available self-rated depression scales can help to inform more personalized care.
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.