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A cross-sectional study of non-suicidal self-injury in a Chinese adolescent inpatient cohort
BACKGROUND: Non-suicidal self-injury (NSSI) is a significant predictor of completed suicide and is increasingly recognized as a serious public health concern. Multiple factors, including social, familial, mental, and genetic factors could influence the occurrence of this behavior. Identifying the ea...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244503/ https://www.ncbi.nlm.nih.gov/pubmed/37293407 http://dx.doi.org/10.3389/fpsyt.2023.1109334 |
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author | Sun, Ke Li, Anni Li, Yichen Xie, Jun Tong, Yonghao Ma, Jun Wu, Yong |
author_facet | Sun, Ke Li, Anni Li, Yichen Xie, Jun Tong, Yonghao Ma, Jun Wu, Yong |
author_sort | Sun, Ke |
collection | PubMed |
description | BACKGROUND: Non-suicidal self-injury (NSSI) is a significant predictor of completed suicide and is increasingly recognized as a serious public health concern. Multiple factors, including social, familial, mental, and genetic factors could influence the occurrence of this behavior. Identifying the early risk factors is important for screening and preventing this behavior. METHODS: Here, we recruited a total of 742 adolescent inpatient participants from a mental health center and conducted a series of diagnostic interviews and questionnaires to assess NSSI behavior and other events. Bivariate analysis was used to detect differences between groups in NSSI and non-NSSI. Then, binary logistic regression was fitted to identify predictors of NSSI as a function of these questionnaire scores. RESULTS: Of the 742 adolescents examined, a total of 382 (51.5%) participants engaged in NSSI. Bivariate analysis showed that age, gender, depression, anxiety, insomnia, and childhood trauma was significantly associated with NSSI. Logistic regression results suggested that females had 2.43 higher odds of engaging in NSSI when compared to their male counterparts (OR = 3.43, 95%CI = 2.09–5.74, p = 1.70 × 10(−6)). Depression was a primary risk predictor for NSSI with each additional increase in symptoms of depression increasing the odds of engaging in NSSI by 18% (OR = 1.18, 95%CI = 1.12–1.25, p = 2.25 × 10(−8)). CONCLUSION: More than half of the adolescent inpatients with psychiatric disorders have NSSI experience. Depression and gender were the risk factors for NSSI. Age at a specific range had a high prevalence of NSSI. |
format | Online Article Text |
id | pubmed-10244503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102445032023-06-08 A cross-sectional study of non-suicidal self-injury in a Chinese adolescent inpatient cohort Sun, Ke Li, Anni Li, Yichen Xie, Jun Tong, Yonghao Ma, Jun Wu, Yong Front Psychiatry Psychiatry BACKGROUND: Non-suicidal self-injury (NSSI) is a significant predictor of completed suicide and is increasingly recognized as a serious public health concern. Multiple factors, including social, familial, mental, and genetic factors could influence the occurrence of this behavior. Identifying the early risk factors is important for screening and preventing this behavior. METHODS: Here, we recruited a total of 742 adolescent inpatient participants from a mental health center and conducted a series of diagnostic interviews and questionnaires to assess NSSI behavior and other events. Bivariate analysis was used to detect differences between groups in NSSI and non-NSSI. Then, binary logistic regression was fitted to identify predictors of NSSI as a function of these questionnaire scores. RESULTS: Of the 742 adolescents examined, a total of 382 (51.5%) participants engaged in NSSI. Bivariate analysis showed that age, gender, depression, anxiety, insomnia, and childhood trauma was significantly associated with NSSI. Logistic regression results suggested that females had 2.43 higher odds of engaging in NSSI when compared to their male counterparts (OR = 3.43, 95%CI = 2.09–5.74, p = 1.70 × 10(−6)). Depression was a primary risk predictor for NSSI with each additional increase in symptoms of depression increasing the odds of engaging in NSSI by 18% (OR = 1.18, 95%CI = 1.12–1.25, p = 2.25 × 10(−8)). CONCLUSION: More than half of the adolescent inpatients with psychiatric disorders have NSSI experience. Depression and gender were the risk factors for NSSI. Age at a specific range had a high prevalence of NSSI. Frontiers Media S.A. 2023-05-24 /pmc/articles/PMC10244503/ /pubmed/37293407 http://dx.doi.org/10.3389/fpsyt.2023.1109334 Text en Copyright © 2023 Sun, Li, Li, Xie, Tong, Ma and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Sun, Ke Li, Anni Li, Yichen Xie, Jun Tong, Yonghao Ma, Jun Wu, Yong A cross-sectional study of non-suicidal self-injury in a Chinese adolescent inpatient cohort |
title | A cross-sectional study of non-suicidal self-injury in a Chinese adolescent inpatient cohort |
title_full | A cross-sectional study of non-suicidal self-injury in a Chinese adolescent inpatient cohort |
title_fullStr | A cross-sectional study of non-suicidal self-injury in a Chinese adolescent inpatient cohort |
title_full_unstemmed | A cross-sectional study of non-suicidal self-injury in a Chinese adolescent inpatient cohort |
title_short | A cross-sectional study of non-suicidal self-injury in a Chinese adolescent inpatient cohort |
title_sort | cross-sectional study of non-suicidal self-injury in a chinese adolescent inpatient cohort |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244503/ https://www.ncbi.nlm.nih.gov/pubmed/37293407 http://dx.doi.org/10.3389/fpsyt.2023.1109334 |
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