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Record W7155520409 · doi:10.11886/scjsws20250329001

Proximal effect of anxiety on non-suicidal self-injury behaviors in adolescent patients with depression and the intervention efficacy of modified cognitive behavioral therapy: an ecological momentary assessment study

2025· article· zh· W7155520409 on OpenAlexaboutno aff
Shaonan Huang, Jun Kong, L. Zheng, Yi Zhang, Weijuan Zhang, Wang Xiao, Tang Xiucheng, J Zhou

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languagezh
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyDepression (economics)Psychological interventionAffect (linguistics)CognitionIntervention (counseling)LimitingCognitive behavioral therapyRandomized controlled trialPoison control

Abstract

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BackgroundIn recent years, the prevalence of depression among adolescents has risen steadily, alongside an increasing prominence of non-suicidal self-injury (NSSI) behaviors in this population, which may elevate suicide risk and constitute a serious public health problem. Negative emotions such as anxiety and depression are closely related to NSSI behaviors. Previous studies have predominantly relied on retrospective reports, limiting the ability to dynamically capture temporal relationships between emotional fluctuations and NSSI behaviors. Moreover, cognitive behavioral therapy (CBT) often lacks targeted design to address proximal triggers in interventions for NSSI behaviors.ObjectiveTo verify that anxiety as a proximal trigger factor for NSSI behaviors in adolescent patients with depression, and to evaluate the efficacy of modified CBT integrated with ecological momentary assessment (EMA) data in alleviating their anxiety and self-injury urges.MethodsA prospective cohort study design was adopted. A total of 132 adolescent patients with a history of NSSI behaviors who were treated at Jiujiang Fifth People's Hospital from January to December 2024 and met the diagnostic criteria for depression in the Diagnosed and Statistical Manual of Mental Disorders, fifth edition (DSM-5). A smartphone-based EMA application to conduct natural situation emotions on participants for 14 consecutive days. The monitoring period spanned from 10∶00 to 22∶00 daily, with randomized assessments pushed every 2 hours. The assessment tools included the Self-rating Anxiety Scale (SAS) and the negative affect subscale of the Positive and Negative Affect Schedule (PANAS), with real-time recording of NSSI behaviors and emotional states before and after their occurrence. Repeated measures analysis of variance was used to compare the dynamic changes in the scores of each scale before and after the episodes of NSSI behaviors. A modified CBT was administered to 83 participants who completed EMA data collection, with sessions conducted once weekly for 12 weeks. Anxiety levels were accessed using the SAS, and the self-injury urges was evaluated using the Ottawa Self-injury Inventory (OSI) before and after the intervention.ResultsEMA data revealed that SAS scores were significantly higher during the 1-2 hours before NSSI episodes compared to baseline periods [(56.19±11.06)vs.(52.83±10.25),P<0.01]. SAS scores were positively correlated with the NSSI behavioral scores (r=0.460,P<0.01,95% CI:0.310-0.580). After receiving modified CBT intervention, adolescent patients with depression demonstrated statistically significant decreases in both SAS scores [(52.30±8.10) vs.(48.70±7.30),t(82)=4.820,P<0.01,Cohen's d=0.420] and the OSI self-injury impulse subcale scores [(12.80±2.70) vs.(9.60±2.50),t(82)=5.170,P<0.01,Cohen's d=0.510] compared to their pre-intervention levels.ConclusionAnxiety may serve as a proximal trigger for NSSI behaviors in adolescent patients with depression. Modified CBT integrating EMA data could potentially alleviate their anxiety level and self-injury urges. [Funded by Science and Technology Plan Project of Jiangxi Provincial Health Commission (number, SKJP220227629)]

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.115
GPT teacher head0.545
Teacher spread0.430 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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