ArticleThe Journal of clinical psychiatry2013
Modeling trajectory of depressive symptoms among psychiatric inpatients: a latent growth curve approach.
Article in The Journal of clinical psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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Who cites it
8 citing papers in PubMed, 37 citations in OpenAlex.
- Validity and Reliability Study of the Moodist Outcome Inventory (MOI).Alpha psychiatry · 2025Article
- Evidence for machine learning guided early prediction of acute outcomes in the treatment of depressed children and adolescents with antidepressants.Journal of child psychology and psychiatry, and allied disciplines · 2022Article
- Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Article
- Latent trajectories of eating disorder treatment response among female patients in residential care.The International journal of eating disorders · 2020Article
- Article
- When should governments increase the supply of psychiatric beds?Molecular psychiatry · 2018Article
- Effect of adolescent substance use and antisocial behavior on the development of early adulthood depression.Psychiatry research · 2016Article
- Association of Baseline Sleep Quality With Trajectories of Depressive Symptoms in Patients Undergoing Interferon Treatment.Psychosomatic medicine · 2015Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
Abstract
objectiveChanges in the parameters of inpatient psychiatric care have inspired a sizable literature exploring correlates of prolonged intervention as well as symptom change over varying lengths of hospitalization. However, existing data offer limited insight regarding the nature of symptom change over time. Objectives of this longitudinal research were to (1) model the trajectory of depressive symptoms within an inpatient psychiatric sample, (2) identify characteristics associated with unique patterns of change, and (3) evaluate the magnitude of expected gains using objective clinical benchmarks.
methodParticipants included 1,084 psychiatric inpatients treated between April 2008 and December 2010. Latent growth curve modeling was used to determine the trajectory of Beck Depression Inventory II depressive symptoms in response to treatment. Age, gender, trauma history, prior hospitalization, and DSM-IV diagnoses were examined as potential moderators of recovery.
resultsResults indicate a nonlinear model of recovery, with symptom reductions greatest following admission and slowing gradually over time. Female gender, probable trauma exposure, prior psychiatric hospitalization, and primary depressive diagnosis were associated with more severe trajectories. Diagnosis of alcohol/substance use, by contrast, was associated with more moderate trajectories. Objective benchmarks occurred relatively consistently across patient groups, with clinically significant change occurring between 2-4 weeks after admission.
conclusionsThe nonlinear trajectory of recovery observed in these data provides insight regarding the dynamics of inpatient recovery. Across all patient groups, symptom reduction was most dramatic in the initial week of hospitalization. However, notable improvement continued for several weeks after admission. Results suggest that timelines for adequate inpatient care are largely contingent on program-specific goals.
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