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Nomothetic and idiographic symptom change trajectories in acute-phase cognitive therapy for recurrent depression.

ABSTRACT: We tested nomothetic and idiographic convergence and change in 3 symptom measures during acute-phase cognitive therapy (CT) for depression and compared outcomes among patients showing different change patterns.Outpatients (N = 362; 69% women; 85% White; age M = 43 years) with recurrent major depressive disorder according to criteria in the Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.; American Psychiatric Association, 2000) completed the Hamilton Rating Scale for Depression (Hamilton, 1960), Beck Depression Inventory (Beck, Ward, Mendelson, Mock, & Erbaugh, 1961), and Inventory for Depressive Symptomatology-Self-Report (Rush, Gullion, Basco, Jarrett, & Trivedi, 1996) on 14 occasions as well as pre/post-CT measures of social-interpersonal functioning and negative cognitive content.The 3 symptom measures marked the same severity and change constructs, and we offer improved formulas for intermeasure score conversions via their common factor. Pre/post-CT symptom reductions were large (ds = 1.71-1.92), and nomothetic symptom curves were log-linear (larger improvements earlier and smaller improvements later in CT). Nonetheless, only 30% of individual patients showed clear log-linear changes, whereas other patients showed linear (e.g., steady decreases; 20%), 1-step (e.g., a quick drop; 16%), and unclassified (34%) patterns. Log-linear, linear, and 1-step patients were generally similar to one another and superior to unclassified patients post-CT in symptom levels, response and stable remission rates, social-interpersonal functioning, and cognitive content (median d = 0.69).Reaching a low-symptom "destination" at the end of CT via any coherent "path" is more important in the short term than which path patients take. We discuss implications for theories of change, clinical monitoring of individuals' progress in CT, and the need to investigate long-term outcomes of patients with differing patterns of symptom change.

SUBMITTER: Vittengl JR

PROVIDER: S-EPMC3809821 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature

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Nomothetic and idiographic symptom change trajectories in acute-phase cognitive therapy for recurrent depression.

Vittengl Jeffrey R JR Clark Lee Anna LA Thase Michael E ME Jarrett Robin B RB

Journal of consulting and clinical psychology 20130429 4

<h4>Objective</h4>We tested nomothetic and idiographic convergence and change in 3 symptom measures during acute-phase cognitive therapy (CT) for depression and compared outcomes among patients showing different change patterns.<h4>Method</h4>Outpatients (N = 362; 69% women; 85% White; age M = 43 years) with recurrent major depressive disorder according to criteria in the Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.; American Psychiatric Association, 2000) completed ...[more]

PMID: 23627652

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Project description:Purpose/backgroundHeterogeneity has been documented in trajectories of symptom change during antidepressant treatment for major depressive disorder (MDD). It is unclear whether distinct trajectories of change exist for functioning during antidepressant treatment.Methods/proceduresThis analysis explored distinct trajectories of functioning in MDD and tested whether they corresponded to trajectories of symptom change. Data were from 4317 patients and were pooled from 9 randomized placebo-controlled trials. Growth mixture modeling was used to identify trajectories of Hamilton Rating Scale for Depression (HRSD) and Sheehan Disability Scale (SDS) for placebo- and desvenlafaxine-treated patients.Findings/resultsThree trajectories were identified for symptoms (HRSD) in patients receiving placebo (mean reduction baseline to week 8, -18.4 [most favorable] to -2.6 points [least favorable]). Four HRSD trajectories were identified for patients receiving desvenlafaxine (mean reduction from baseline to week 8, -17.2 [most favorable] to -2.6 points [least favorable]). Four trajectories were identified for functioning (SDS) in patients receiving placebo (mean reduction baseline to week 8, -13.6 [most favorable] to -0.8 points [least favorable]), and 3 for desvenlafaxine (-12.8 to -1.4 points, respectively). Percentages of agreement between most favorable HRSD and SDS trajectories were 75% (placebo) and 85% (desvenlafaxine), and for least favorable trajectories were 88% (placebo) and 80% (desvenlafaxine).Implications/conclusionsDistinct trajectories of change based on symptoms and functioning were identified among patients with MDD receiving desvenlafaxine and among patients with MDD receiving placebo. Differentiating subpopulations of patients has the potential to provide a more personalized treatment of patients with MDD.ClinicalTrials.govIdentifiers: NCT00072774; NCT00277823; NCT00300378; NCT00384033; NCT00798707; NCT00863798; NCT01121484; NCT00824291; NCT01432457.

Project description:BackgroundDepressive and anxiety disorders are the most common mental disorders, and there is a critical need for effective, affordable, and accessible interventions. Cognitive Behavioral Immersion (CBI) is a novel group-based cognitive behavioral skills training program delivered by lay coaches in the metaverse that can be accessed through various modalities including virtual reality (VR) head-mounted displays or flat-screen devices. Combining its ability to offer empirically supported therapy skills in a digital setting that can still facilitate interpersonal variables (eg, working alliance and sense of social support) with the aid of lay coaches, CBI has the potential to help fill this critical need.ObjectiveThis study had 2 primary aims. First, we aimed to examine changes in depression and anxiety symptoms in a sample of individuals who participated in CBI. Second, we aimed to examine 2 interpersonal process variables (working alliance and web-based social support) as predictors of symptom changes. We predicted CBI participants would experience depression and anxiety symptom improvements and that such improvements would be associated with an increase in both interpersonal process variables.MethodsThe study sample consists of 127 participants who endorsed clinical levels of depression or anxiety symptoms during their first CBI session and attended at least 2 sessions. Participants were asked to complete self-report measures of depression symptoms, anxiety symptoms, alliance, and web-based social support throughout their participation in CBI.ResultsRepeated measures ANOVAs determined that depression and anxiety symptom scores differed significantly across sessions (Ps<.01). We also found participants' web-based social support predicted improvement in depression symptoms (P=.01), but neither the alliance nor web-based social support predicted change in anxiety symptoms (Ps>.05). We also observed a significant difference in anxiety symptoms between participants who used a VR head-mounted display to access CBI and those who did not, such that participants who used VR head-mounted displays endorsed lower anxiety symptoms than those who did not at nearly every session (P=.04).ConclusionsParticipation in CBI is associated with both depression and anxiety symptom improvement. Web-based social support may play an important role in fostering changes in depression symptoms. Future studies are encouraged to continue examining the process of change in CBI with special attention paid to methods that can elucidate causal mechanisms of change.

Project description:ImportanceMajor depressive disorder is prevalent and impairing. Parsing neurocomputational substrates of reinforcement learning in individuals with depression may facilitate a mechanistic understanding of the disorder and suggest new cognitive therapeutic targets.ObjectiveTo determine associations among computational model-derived reinforcement learning parameters, depression symptoms, and symptom changes after treatment.Design, setting, and participantsIn this mixed cross-sectional-cohort study, individuals performed reward and loss variants of a probabilistic learning task during functional magnetic resonance imaging at baseline and follow-up. A volunteer sample with and without a depression diagnosis was recruited from the community. Participants were assessed from July 2011 to February 2017, and data were analyzed from May 2017 to May 2021.Main outcomes and measuresComputational model-based analyses of participants' choices assessed a priori hypotheses about associations between components of reward-based and loss-based learning with depression symptoms. Changes in both learning parameters and symptoms were then assessed in a subset of participants who received cognitive behavioral therapy (CBT).ResultsOf 101 included adults, 69 (68.3%) were female, and the mean (SD) age was 34.4 (11.2) years. A total of 69 participants with a depression diagnosis and 32 participants without a depression diagnosis were included at baseline; 48 participants (28 with depression who received CBT and 20 without depression) were included at follow-up (mean [SD] of 115.1 [15.6] days). Computational model-based analyses of behavioral choices and neural data identified associations of learning with symptoms during reward learning and loss learning, respectively. During reward learning only, anhedonia (and not negative affect or arousal) was associated with model-derived learning parameters (learning rate: posterior mean regression β = -0.14; 95% credible interval [CrI], -0.12 to -0.03; outcome sensitivity: posterior mean regression β = 0.18; 95% CrI, 0.02 to 0.37) and neural learning signals (moderation of association between striatal prediction error and expected value signals: t97 = -2.10; P = .04). During loss learning only, negative affect (and not anhedonia or arousal) was associated with learning parameters (outcome shift: posterior mean regression β = -0.11; 95% CrI, -0.20 to -0.01) and disrupted neural encoding of learning signals (association with subgenual anterior cingulate prediction error signals: r = -0.28; P = .005). Symptom improvement following CBT was associated with normalization of learning parameters that were disrupted at baseline (reward learning rate: posterior mean regression β = 0.15; 90% CrI, 0.001 to 0.41; loss outcome shift: posterior mean regression β = 0.42; 90% CrI, 0.09 to 0.77).Conclusions and relevanceIn this study, the mapping of reinforcement learning components to symptoms of major depression revealed mechanistic features associated with these symptoms and points to possible learning-based therapeutic processes and targets.

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Nomothetic and idiographic symptom change trajectories in acute-phase cognitive therapy for recurrent depression.

Publications

Nomothetic and idiographic symptom change trajectories in acute-phase cognitive therapy for recurrent depression.

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