Evidence map›Paper›PMID 35545322›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2022

Revision of the non

Hui Chen, Bing Pan, Chenyun Zhang, Yang Guo, Jiansong Zhou, Xiaoping Wang

Abstract read
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

The trial behind it

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Hui ChenDepartment of Psychiatry, Second Xiangya Hospital, Central South University, Changsha 410011. chenh0618@163.com.
Bing PanSecond Affiliated Hospital of Medical College of Zhejiang University, Hangzhou 310003.
Chenyun ZhangXiamen Xian Yue Hospital, Xiamen Fujian 361012.
Yang GuoJiujiang College Affiliated Hospital, Jiujiang Jiangxi 332001, China.
Jiansong ZhouDepartment of Psychiatry, Second Xiangya Hospital, Central South University, Changsha 410011. zhoujs2003@csu.edu.cn.
Xiaoping WangDepartment of Psychiatry, Second Xiangya Hospital, Central South University, Changsha 410011.

Funding

the Clinical Medical Technology Innovation Guidance Project of Hunan Province 2020SK53415the Key Guiding Project of Hunan Health Committee 202103091470the National Natural Science Foundation 82071543the Natural Science Foundation of Hunan Province 2019JJ40424the Special Project for the Construction of Innovative Provinces in Hunan Province 2019SK2334
6 · The paper itself

Abstract

objectivesAdolescents are at high risk of non-suicidal self-injury (NSSI). Currently, there is no clinical assessment tool for adolescent NSSI behaviors measurement with global consistency. The Ottawa Self-injury Inventory (OSI) is considered as a relatively comprehensive assessment tool for NSSI, but the questionnaire is discussed with excessive content and timecostly, which may affect the reliability of the measurement results for adolescent.Thus, this study, based on OSI, aims to revise the assessment tool for adolescent with NSSI that is suitable for both clinically and scientifically, referring to the diagnostic criteria for NSSI in the 5th Diagnostic and Statistical Manual of Mental Disorder (DSM-5).

methodsThis study was led by the Second Xiangya Hospital of Central South University and collaborated with 6 mental health service institutions in China from August to December 2020. Adolescent aged from 12 to 24 years old who had self-injury behavior and met the DSM-5 diagnostic criteria for NSSI were continuously recruited in the psychiatric outpatient department or ward. After clinical diagnosis by an experienced attending psychiatrist or above, the general information and OSI were collected by questionnaires. SPSS 24.0 and AMOS structural equation model statistical softwares were used to conduct item analysis and exploratory factor analysis on the obtained data to complete the revision of the scale. Cronbach's alpha coefficient, split-half reliability, test-retest reliability, and content validity and structure validity were performed to analyze the reliability and validity and confirmatory factor analysis was carried out to test the structure validity for the revised scale.

resultsA total of 234 adolescent with NSSI were enrolled, including 33 (14.1%) males and 201 (85.9%) females with the mean age of (16.2±2.6) years old. The most common clinical diagnoses were depression disorder (57.4%), bipolar disorder (20.9%), adolescent mood disorder (17.1%), etc. Nine items (item 2, 7, 11, 13, 23, 24, 10, 17, 18) in the functional scale of OSI were deleted according to extreme grouping method, correlation analysis, and principal component analysis in exploratory factor analysis. The revised functional scale for NSSI consisted of 15 items. The reliability analysis showed that the Cronbach's alpha coefficients of NSSI thought and behavior frequency, addiction characteristics, and function scales were 0.799, 0.798, and 0.835, respectively, and the split-half coefficients were 0.714, 0.727, and 0.852, respectively. The test-retest coefficients of the latter 2 scales were 0.466 and 0.560, respectively. The correlation coefficient between sub-items and total scores in each part of the scale showed good content validity. The exploratory factor analysis showed that a component was extracted from the frequency of thoughts and behaviors of NSSI, one component was extracted from the addictive characteristics, and three components were extracted from the functional part. The three functional subscales were social influence, external emotion regulation, and internal emotion regulation. The factor load of each item was >0.400.

conclusionsThe revised Chinese version OSI targeted the adolescent patients with mental disorders has relatively ideal reliability and validity. The scale shows high stability, dependability, and a reasonable degree of fit. It is a suitable assessment tool for clinical and scientific research on adolescent with NSSI.

Indexed as

Mental DisordersSelf-Injurious BehaviorAdolescentAdultChildFactor Analysis, StatisticalFemaleHumansMalePsychometricsReproducibility of ResultsSurveys and QuestionnairesYoung Adultadolescentconfirmatory factor analysisnon-suicidal self-injuryOttawa Self-injury Inventoryreliabilityvalidity

Identifiers

PMID35545322
PMCPMC10930059

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.