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Record W4400140713

Study on the Application of Group Psychological Nursing in Non-suicidal Self-injury among Adolescents.

2024· article· en· W4400140713 on OpenAlexaboutno aff
Jin Yuan, Meiqin Zheng

Bibliographic record

VenuePubMed · 2024
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsClinical psychologyPsychologySuicide preventionInjury preventionMedicinePoison controlMedical emergency
DOInot available

Abstract

fetched live from OpenAlex

Background: Non-suicidal self-injury (NSSI) refers to direct and deliberate suicidal actions that damage the body but are not recognized by society and culture. Adolescence is the transition period when children change into adult roles. At this time, teenagers are in the critical development period of physical and mental intelligence, and all aspects of their development have not yet been fully developed, so there are fierce inner conflicts. If the psychological problems of teenagers do not get timely counseling, it is very likely to choose self-injury suicide behavior, in such an extreme way to vent their bad emotions. The prevalence rate of NSSI among adolescents is much higher than that of other age groups. Studies have shown that psychological nursing is safe and effective, which can alleviate patients' negative emotions and avoid NSSI. Objective: To explore the impact of group psychological nursing with guardian participation on reducing NSSI behaviors and improving psychological well-being among adolescents. Design: This was a retrospective study. Setting: This study was performed in the Departments of the Third Psychiatry, Hangzhou Seventh People's Hospital. Participants: 132 adolescent patients with NSSI admitted to our center from August 2020 to July 2022 were selected as subjects and divided into 2 groups according to the time of admission, with 66 patients in each group. Interventions: Patients in the control group (CG) received drug therapy and commonly used cognitive behavioral therapy. Patients in the observation group (OG) received group psychological nursing with guardian participation. The participation of the guardian strengthens the level of understanding, tolerance and support of both parties, and helps to enhance the strength of family support, which in turn relives negative emotions. Primary Outcome Measures: (1) Ottawa self-injury inventory (OSI) scores were used to assess NSSI behavior severity; (2) Self-rating Anxiety Scale (SAS) and self-rating Depression Scale (SDS) scores were used to assess anxiety and depression; (3) General Self-efficacy Scale (GSES) scores were used to assess self-efficacy; (4) Trait Coping Style Questionnaire (TCSQ) scores were used to assess the quality of life; (5) social function Assessment Scale (SSPI) scores were used to assess social function; (6) Adolescent Life Events Scale (ASLEC) scores were used to evaluate the stress intensity of coping with life events; (7) multidimensional sub-health questionnaire assessment (MSQA) scores were used to assess adolescents' physical and psychological sub-health. Results: Before intervention, there were no significant differences in OSI, SAS, SDS, GSES, TCSO, SSPI ASLEC, and MSQA scores in both groups (P > .05). Compared to before intervention, the scores of OSI, SAS, SDS, GSES, TCSO, SSPI ASLEC and MSQA in both groups were improved after intervention (P < .05). The observation group showed significant improvements across all measures compared to the control group, indicating a reduction in NSSI behaviors and improvements in mental health. Conclusion: Application of group psychological nursing with guardian participation in adolescent patients with NSSI behavior can better reduce NSSI behavior and improve physical and mental health, underline the importance of family support in treating NSSI, which also highlights the importance of family support in the treatment of NSSI.

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)0.002
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.041
GPT teacher head0.338
Teacher spread0.298 · 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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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