Harnessing Network Science to Personalize Scalable Interventions for Adolescent Depression

利用网络科学对青少年抑郁症进行个性化的可扩展干预措施

• 批准号: 10860020
• 负责人: Jessica Lee Schleider
• 金额: $ 40万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10860020
• 关键词: Acceleration; Achievement; Address; Adolescent; Age; Anhedonia; Anxiety; Area; Behavioral; Behavioral Symptoms; Belief; Clinical; Clinical Psychology; Cognitive; Complex; Data; Data Collection; Department chair; Development; Diagnosis; Disease; Economic Burden; Educational process of instructing; Feeling hopeless; Funding; Goals; Growth; Guidelines; Health Services Accessibility; Heterogeneity; Individual; Infrastructure; Institution; Intervention; Intervention Studies; Intervention Trial; Leadership; Learning; Link; Longitudinal Studies; Major Depressive Disorder; Mental Depression; Mental disorders; Mentors; Mentorship; Meta-Analysis; Methods; Modeling; National Research Service Awards; Nature; Neurobehavioral Manifestations; Occupations; Online Systems; Paper; Parents; Pathway Analysis; Physiological; Positioning Attribute; Psychological Theory; Psychology; Psychopathology; Publishing; Randomized; Recovery; Research; Research Personnel; Research Project Grants; Sampling; Schools; Science; Secure; Services; Statistical Methods; Stress; Structure; Support System; Symptoms; Techniques; Testing; Time; Training; Universities; Withdrawal; Work; Youth; career; child depression; college; depressive symptoms; design; disability; doctoral student; evidence base; experience; faculty mentor; follow-up; improved; innovation; medical schools; multilevel analysis; novel; outcome prediction; posters; predicting response; professor; programs; prospective; randomized trial; response; senior faculty; social; stem; teacher; tenure track; therapy design; tool; trait; treatment response; vector

Project Summary/Abstract Major depression (MD) is the leading cause of disability in youth, with a global economic burden of >$210 billion annually. However, up to 70% of youth with MD do not receive services. Even among those who do access treatment, 30-65% fail to respond, demonstrating a need for more potent, accessible interventions. A challenge underlying limited treatment potency is MD's heterogeneity: An MD diagnosis reflects >1400 symptom combinations, creating a need for treatments matched to personal clinical need. Separately, low treatment accessibility stems from the structure of existing interventions. Most span many weeks and are designed for delivery by highly trained clinicians , making them difficult to scale. This proposal aims to address the need for accessible, potent youth MD interventions by integrating methods and findings from previously separate areas: single-session intervention (SSI) research and network science. In a meta-analysis of 50 randomized trials, the investigator has found that SSIs can reduce diverse youth psychiatric problems, including MD. The investigator also found that a web-based SSI teaching growth mindset (the belief that personal traits are malleable) reduced depression and anxiety in high-symptom youth across 9 months. Thus, well-targeted SSIs can yield lasting benefits—but given MD's heterogeneity, there is a need for tools that can match youth to SSIs optimized for personal symptom structures. The proposed project harnesses computational advances from the network approach to psychopathology, which views psychiatric disorders as causal interactions between symptoms, to evaluate such a tool. The first goal is to establish a new method of characterizing MD symptom structures; the second is to test parameters from these structures as predictors of response to two SSIs targeting distinct MD features (behavioral vs. cognitive symptoms). Specifically, Aim 1 is to establish guidelines for computing personalized symptom networks using experience sampling method (ESM) data from youth with MD collected 7x/day for 3 weeks (N=50, ages 11-16; 147 time-points each). This will include a comparison of two leading approaches for computing network parameters, such as outward centrality (the degree to which a symptom prospectively predicts other symptoms). Aim 2 is to test network parameters as SSI outcome predictors among youth with MD (N=180). Youth will be randomized to a behavioral activation (BA) SSI (adapted from evidence-based BA SSIs); the mindset SSI noted above; or a control SSI. Network parameters will be tested as predictors of SSI response. For instance, youth with stronger centrality on a behavioral symptom (e.g. withdrawal from pleasurable activities) may respond more favorably to the BA SSI, and youth with stronger centrality on a cognitive symptom (e.g. hopelessness) to the mindset SSI. Results may identify a novel means of matching youth to targeted MD SSIs by personal need. The project will also include the first RCT comparing two youth MD SSIs, with the longest follow-up of any SSI trial to date (2 years), gauging their relative promise to reduce youth MD.

项目总结/文摘

项目成果

Single-Session Interventions Embedded Within Tumblr: Acceptability, Feasibility, and Utility Study.

• DOI: 10.2196/39004
• 发表时间: 2022-07-25
• 期刊: JMIR FORMATIVE RESEARCH
• 影响因子: 2.2
• 作者: Dobias, Mallory L.;Morris, Robert R.;Schleider, Jessica L.
• 通讯作者: Schleider, Jessica L.

Retiring, Rethinking, and Reconstructing the Norm of Once-Weekly Psychotherapy.

• DOI: 10.1007/s10488-020-01090-7
• 发表时间: 2021-01
• 期刊: Administration and policy in mental health
• 作者: Schleider JL;Dobias ML;Mullarkey MC;Ollendick T
• 通讯作者: Ollendick T

The impact of COVID-19 on U.S. adolescents: loss of basic needs and engagement in health risk behaviors.

• DOI: 10.1007/s12144-021-02411-1
• 发表时间: 2022-01-22
• 期刊: Current psychology (New Brunswick, N.J.)
• 作者: Shroff A;Fassler J;Fox KR;Schleider JL
• 通讯作者: Schleider JL

Leveraging the Strengths of Psychologists With Lived Experience of Psychopathology.

利用具有精神病理学生活经验的心理学家的优势。

• DOI: 10.1177/17456916211072826
• 发表时间: 2022
• 期刊: Perspectives on psychological science : a journal of the Association for Psychological Science
• 作者: Victor,SarahE;Schleider,JessicaL;Ammerman,BrookeA;Bradford,DanielE;Devendorf,AndrewR;Gruber,June;Gunaydin,LisaA;Hallion,LaurenS;Kaufman,ErinA;Lewis,StephenP;Stage,Dese'RaeL
• 通讯作者: Stage,Dese'RaeL

A randomized trial of online single-session interventions for adolescent depression during COVID-19.

• DOI: 10.1038/s41562-021-01235-0
• 发表时间: 2022-03
• 期刊: Nature human behaviour
• 影响因子: 29.9
• 作者: Schleider JL;Mullarkey MC;Fox KR;Dobias ML;Shroff A;Hart EA;Roulston CA
• 通讯作者: Roulston CA