Evidence map›Paper›PMID 36911108›Full record

ArticleFrontiers in psychiatry2023

High-risk group and functional subtypes of non-suicidal self-injury in young adults with mental disorders.

Huiru Yan, Yuyanan Zhang, Zhe Lu, Mingzhu Li, Yuqi Ge, Dongli Mei, Zhewei Kang, Yaoyao Sun, Qianqian Li, Hao Yan and 5 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Huiru YanSchool of Nursing & Sixth Hospital, Peking University, Beijing, China.
Yuyanan ZhangResearch Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Peking University Sixth Hospital, Institute of Mental Health, Chinese Academy of Medical Sciences, Beijing, China.
Zhe LuResearch Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Peking University Sixth Hospital, Institute of Mental Health, Chinese Academy of Medical Sciences, Beijing, China.
Mingzhu LiResearch Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Peking University Sixth Hospital, Institute of Mental Health, Chinese Academy of Medical Sciences, Beijing, China.
Yuqi GeResearch Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Peking University Sixth Hospital, Institute of Mental Health, Chinese Academy of Medical Sciences, Beijing, China.
Dongli MeiSchool of Nursing & Sixth Hospital, Peking University, Beijing, China.
Zhewei KangResearch Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Peking University Sixth Hospital, Institute of Mental Health, Chinese Academy of Medical Sciences, Beijing, China.
Yaoyao SunResearch Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Peking University Sixth Hospital, Institute of Mental Health, Chinese Academy of Medical Sciences, Beijing, China.
Qianqian LiResearch Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Peking University Sixth Hospital, Institute of Mental Health, Chinese Academy of Medical Sciences, Beijing, China.
Hao YanResearch Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Peking University Sixth Hospital, Institute of Mental Health, Chinese Academy of Medical Sciences, Beijing, China.
Lei YangResearch Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Peking University Sixth Hospital, Institute of Mental Health, Chinese Academy of Medical Sciences, Beijing, China.
Peihua SongResearch Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Peking University Sixth Hospital, Institute of Mental Health, Chinese Academy of Medical Sciences, Beijing, China.
Chuan ShiResearch Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Peking University Sixth Hospital, Institute of Mental Health, Chinese Academy of Medical Sciences, Beijing, China.
Shaomei ShangSchool of Nursing & Sixth Hospital, Peking University, Beijing, China.
Weihua YueResearch Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Peking University Sixth Hospital, Institute of Mental Health, Chinese Academy of Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Identifying high-risk groups of non-suicidal self-injury (NSSI) with multiple risk factors and different functional subtypes contribute to implementing person-centered interventions. Methods: We investigated NSSI profiles among a sample of 258 psychiatric inpatients aged 18-25 years. All participants completed well-validated measures of internal personal and external environmental characteristics. One-hundred and ninety patients reported a lifetime history of NSSI and completed an additional NSSI assessment. A k-means cluster analysis was conducted to extract characteristics of risk factors and functional subtypes. Independent sample Results: The clustering of risk factors analyses supported 4-clusters. The proportion of repeat NSSI patients was the highest (67.1%) in the group with unfavorable personal and unfavorable environmental characteristics. Functional subtype clustering analyses supported 5-clusters. Among patients with repeated NSSI, those with depression were mainly accompanied by the "Sensation Seeking" subtype (39.7%), bipolar disorder mainly supported the "Anti-suicide" subtype (37.9%), and eating disorders were mostly "Social Influence" subtype (33.3%). There was an interaction between functional subtypes and mental disorders. Limitations: All participants were in treatment in a psychiatric service and the results may not be generalizable to a community sample. The data included retrospective self-report which may be inaccurate due to recall bias. Conclusion: It is necessary to identify high-risk groups of NSSI who with unfavorable personal and environmental characteristics and clinical interventions need to consider the heterogeneity of patients' functional subtypes of NSSI.

Indexed as

cluster analysismental disordernon-suicidal self-injuryrisk factoryoung adult

Identifiers

PMID36911108
PMCPMC9996010

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