Do specific modules of cognitive behavioral therapy for depression have measurable effects on youth internalizing symptoms? An idiographic analysis

Frederick, Jennifer; Ng, Mei Yi; Valente, Matthew J.; Chorpita, Bruce F.; Weisz, John R.

doi:10.1080/10503307.2022.2131475

Cited by 7 publications

(2 citation statements)

References 51 publications

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“…These findings would also support the need for a personalized approach to assessment and intervention, where treatments or their component modules are selected and sequenced to target each adolescent’s specific drivers [ 14 , 15 ]. Indeed, emerging research suggests that depressed youth display heterogeneous responses to individual CBT modules [ 83 , 84 ]. Moreover, the particular symptoms identified as drivers in our adolescent sample could be compared to those identified in adult samples.…”

Section: Discussionmentioning

confidence: 99%

Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study

Ng,

Frederick,

Fisher

et al. 2024

JMIR Res Protoc

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Background Adolescence is marked by an increasing risk of depression and is an optimal window for prevention and early intervention. Personalizing interventions may be one way to maximize therapeutic benefit, especially given the marked heterogeneity in depressive presentations. However, empirical evidence that can guide personalized intervention for youth is lacking. Identifying person-specific symptom drivers during adolescence could improve outcomes by accounting for both developmental and individual differences. Objective This study leverages adolescents’ everyday smartphone use to investigate person-specific drivers of depression and validate smartphone-based mobile sensing data against established ambulatory methods. We describe the methods of this study and provide an update on its status. After data collection is completed, we will address three specific aims: (1) identify idiographic drivers of dynamic variability in depressive symptoms, (2) test the validity of mobile sensing against ecological momentary assessment (EMA) and actigraphy for identifying these drivers, and (3) explore adolescent baseline characteristics as predictors of these drivers. Methods A total of 50 adolescents with elevated symptoms of depression will participate in 28 days of (1) smartphone-based EMA assessing depressive symptoms, processes, affect, and sleep; (2) mobile sensing of mobility, physical activity, sleep, natural language use in typed interpersonal communication, screen-on time, and call frequency and duration using the Effortless Assessment of Risk States smartphone app; and (3) wrist actigraphy of physical activity and sleep. Adolescents and caregivers will complete developmental and clinical measures at baseline, as well as user feedback interviews at follow-up. Idiographic, within-subject networks of EMA symptoms will be modeled to identify each adolescent’s person-specific drivers of depression. Correlations among EMA, mobile sensor, and actigraph measures of sleep, physical, and social activity will be used to assess the validity of mobile sensing for identifying person-specific drivers. Data-driven analyses of mobile sensor variables predicting core depressive symptoms (self-reported mood and anhedonia) will also be used to assess the validity of mobile sensing for identifying drivers. Finally, between-subject baseline characteristics will be explored as predictors of person-specific drivers. Results As of October 2023, 84 families were screened as eligible, of whom 70% (n=59) provided informed consent and 46% (n=39) met all inclusion criteria after completing baseline assessment. Of the 39 included families, 85% (n=33) completed the 28-day smartphone and actigraph data collection period and follow-up study visit. Conclusions This study leverages depressed adolescents’ everyday smartphone use to identify person-specific drivers of adolescent depression and to assess the validity of mobile sensing for identifying these drivers. The findings are expected to offer novel insights into the structure and dynamics of depressive symptomatology during a sensitive period of development and to inform future development of a scalable, low-burden smartphone-based tool that can guide personalized treatment decisions for depressed adolescents. International Registered Report Identifier (IRRID) DERR1-10.2196/43931

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Section: Discussionmentioning

confidence: 99%

Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study

Ng,

Frederick,

Fisher

et al. 2024

JMIR Res Protoc

Self Cite

View full text Add to dashboard Cite

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“…The critical hurdle may be nding more context-appropriate, e cient, and scalable models and systems for implementing and supporting evidence-informed mental illness prevention in practice. Consequently, collaboratively tailored, transdiagnostic, modular, and process-focused interventions are advocated as potential advancements (13)(14)(15)(16)(17).…”

Section: Introductionmentioning

confidence: 99%

The Implementability and Proximal Effects of a Transdiagnostic Mental Health Intervention for Adolescents (Kort): Protocol for a Mixed-Methods Intensive Longitudinal Study

ENGELL,

HELLAND,

VIRA

et al. 2024

Preprint

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Background This protocol describes a study designed to test the implementability and proximal effects of a transdiagnostic mental health intervention for adolescents in school health services. The study is driven by the urgent need to address the rising mental health challenges among adolescents, exacerbated by the COVID-19 pandemic. Leveraging implementation science and evidence-informed intervention elements, this co-designed intervention focuses on emotion regulation (ER) as a central target for usable prevention and support. Methods The study employs a mixed-methods approach, integrating intensive longitudinal experience sampling (daily measures for 13 weeks), a micro trial, pre-, post-, and follow-up measures, audio recordings, and qualitative interviews to triangulate data from school nurses and adolescent participants. The research questions span the domains of intervention implementability, barriers and facilitators to implementation, proximal outcomes for adolescents' emotion regulation, the mechanisms driving the intervention's proximal effects, and response burden in experience sampling. The study aims to recruit a minimum of 25 health nurses and 46 adolescents. Discussion The study is novel in using mixed methods from multiple theoretical paradigms to examine ER as a dynamic process and transdiagnostic target outcome for promoting mental health and preventing disorders. Through daily diary and ecological momentary assessments, the study explores the intricacies of ER in real-life settings. Coupling the experience sampling with highly detailed fidelity measurement, we will observe adolescents' day-to-day responses to intervention elements and how they affect emotion regulation. The integrated micro-trial also addresses concerns about response burden in experience sampling to optimize data collection strategies for future studies. Trial registration The ISRCTN-registry: ISRCTN14932526, registration date 04/04/2023

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Online parenting support: Meta-analyses of non-inferiority and additional value to in-person support

Leijten,

Rienks,

Groenman

et al. 2024

Children and Youth Services Review

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Do specific modules of cognitive behavioral therapy for depression have measurable effects on youth internalizing symptoms? An idiographic analysis

Cited by 7 publications

References 51 publications

Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study

Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study

The Implementability and Proximal Effects of a Transdiagnostic Mental Health Intervention for Adolescents (Kort): Protocol for a Mixed-Methods Intensive Longitudinal Study

Online parenting support: Meta-analyses of non-inferiority and additional value to in-person support

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