Factors Associated With Non-suicidal Self-Injury in Chinese Adolescents: A Meta-Analysis

Fan, Yangyang; Liu, Jing; Zeng, Yan-yan; Conrad, Rachel; Tang, Yi-Lang

doi:10.3389/fpsyt.2021.747031

Cited by 31 publications

(25 citation statements)

References 49 publications

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“…In addition, studies have shown the mediating role of depression on other factors (i.e., peer acceptance and frequent nightmares) and NSSI behavior in adolescents ( 69 , 70 ). Furthermore, post-traumatic stress disorder, dissociative disorders, obsessive-compulsive disorders, eating disorders, sleep disorders, and substance use disorders were also common co-occurring disorders in adolescents with NSSI ( 1 , 71 ).…”

Section: Discussionmentioning

confidence: 99%

“…Non-suicidal self-injury (NSSI) is a common psychiatric behavioral problem that threatens adolescents' health. NSSI refers to behaviors that do not aim at suicide, intentionally and directly harm their body tissues and are not recognized by society and culture ( 1 ). Common types of NSSI include cutting, scratching, hitting, knocking, and burning themselves ( 1 ).…”

Section: Introductionmentioning

confidence: 99%

“…NSSI refers to behaviors that do not aim at suicide, intentionally and directly harm their body tissues and are not recognized by society and culture ( 1 ). Common types of NSSI include cutting, scratching, hitting, knocking, and burning themselves ( 1 ). In 2013, the Diagnostic and Statistical Manual of Mental Disorders (5th edition) (DSM-5) classified NSSI as a separate disorder and established strict diagnostic criteria.…”

Section: Introductionmentioning

confidence: 99%

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Key factors selection on adolescents with non-suicidal self-injury: A support vector machine based approach

Yang

Chen²,

Yao

et al. 2022

Front. Public Health

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Comparing a family structure to a company, one can often think of parents as leaders and adolescents as employees. Stressful family environments and anxiety levels, depression levels, personality disorders, emotional regulation difficulties, and childhood trauma may all contribute to non-suicidal self-injury (NSSI) behaviors. We presented a support vector machine (SVM) based method for discovering the key factors among mazy candidates that affected NSSI in adolescents. Using SVM as the base learner, and the binary dragonfly algorithm was used to find the feature combination that minimized the objective function, which took into account both the prediction error and the number of selected variables. Unlike univariate model analysis, we used a multivariate model to explore the risk factors, which better revealed the interactions between factors. Our research showed that adolescent education level, anxiety and depression level, borderline and avoidant personality traits, as well as emotional abuse and physical neglect in childhood, were associated with mood disorders in adolescents. Furthermore, gender, adolescent education level, physical abuse in childhood, non-acceptance of emotional responses, as well as paranoid, borderline, and histrionic personality traits, were associated with an increased risk of NSSI. These findings can help us make better use of artificial intelligence technology to extract potential factors leading to NSSI in adolescents from massive data, and provide theoretical support for the prevention and intervention of NSSI in adolescents.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Key factors selection on adolescents with non-suicidal self-injury: A support vector machine based approach

Yang

Chen²,

Yao

et al. 2022

Front. Public Health

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“…According to this theory, the occurrence of NSSI is not intended for suicide purposes; however, NSSI is closely related to SI, AS, and SB ( Hawton et al, 2003 ; Nock et al, 2008 ; Martin et al, 2010 ), where NSSI frequency, number of self-injury methods, and hopelessness are the strongest predictors of AS ( Victor and Klonsky, 2014 ; Coppersmith et al, 2017 ). Notably, NSSI is a risk factor for committing suicide among adolescents with depression ( Hawton et al, 2003 ; Zubrick et al, 2017 ; Fan et al, 2021 ; Masi et al, 2021 ). In particular, female adolescents have a higher risk of committing suicide if they exhibit frequent NSSI behaviors ( You and Lin, 2015 ).…”

Section: Discussionmentioning

confidence: 99%

“…The same conclusion was drawn regarding depressive disorders that were vulnerable to NSSI ( Fox et al, 2015 ). Therefore, it is important to investigate predictors of NSSI in adolescents with depressive disorders for clinical risk assessment and therapeutic interventions ( Fan et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Tumor markers and depression scores are predictive of non-suicidal self-injury behaviors among adolescents with depressive disorder: A retrospective study

Qin

Chen

et al. 2022

Front. Neurosci.

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BackgroundNon-suicidal self-injury (NSSI) is an important risk factor for suicide in adolescents with depressive disorders; therefore, it is important to predict NSSI occurrence as early as possible. Disturbances in biological rhythms are characteristic manifestations of depressive disorders and can lead to immune dysfunction, leading to changes in tumor markers. This study aimed to produce an index that utilizes tumor markers to predict NSSI behaviors among adolescents with depressive disorders.MethodsA total of 120 hospitalized adolescent patients with depressive disorders aged 14–24 years were included in this study. Participants were divided into NSSI and non-NSSI groups based on self-reports using the Ottawa Self-Injury Inventory. Demographics, tumor marker concentrations, other peripheral blood indices, Hamilton Depression Rating Scale (HDRS) scores, and Hamilton Anxiety Rating Scale (HAMA) scores were compared between the two groups. Logistic regression analysis was conducted to develop a joint index, and a receiver operating characteristic (ROC) curve was created to predict NSSI behaviors among adolescents with depressive disorders.ResultsCompared with the non-NSSI group, the NSSI group had significantly higher insight, retardation, insomnia, hopelessness, psychiatric anxiety, total HDRS and HAMA scores, and significantly higher levels of cancer antigen 125 (CA-125), cancer antigen 19-9 (CA19-9), and carcinoembryonic antigen (CEA). In addition, a joint index was developed by combining CA-125, CA19-9, CEA, HDRS total score, HAMA total score and age using multiple logistic regression to predict NSSI behaviors. The area under the curve was 0.831, with a sensitivity and specificity of 0.734 and 0.891, respectively.ConclusionA combination of depression score, tumor marker levels, and age can identify NSSI behaviors among adolescents with depressive disorders.

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Analysis of Psychiatric Symptoms and Suicide Risk Among Younger Adults in China by Gender Identity and Sexual Orientation

Sun

Guy

et al. 2023

JAMA Netw Open

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ImportanceYounger adults in China who are transgender and gender nonconforming (TGNC) and lesbian, gay, and bisexual (LGB) experience high levels of minority stress (eg, stigma and bullying) and adverse mental health symptoms. However, there is a lack of research documenting mental health disparities compared with their cisgender and heterosexual peers. Studies that disaggregate TGNC and LGB individuals and are conducted in nonmetropolitan regions are also needed.ObjectivesTo examine whether younger adult students’ psychiatric symptoms and suicide risk vary by sexual orientation and gender identity and identify risk factors within LGB younger adults and TGNC younger adults.Design, Setting, and ParticipantsThis cross-sectional study surveyed students at 63 universities in Jilin Province, China, between October 24 and November 18, 2021. Analyses were completed May 6, 2022.ExposuresGender identity (TGNC vs cisgender) and sexual orientation (LGB vs heterosexual).Main Outcomes and MeasuresPsychiatric outcomes included depression, anxiety, traumatic stress, and nonsuicidal self-injury (NSSI), which were measured by the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Trauma Screening Questionnaire, and self-reported NSSI behaviors. The Suicide Behaviors Questionnaire–Revised was used to assess suicide risk.ResultsThe analytic sample included 89 342 younger adults (mean [SD] age, 19.60 [1.75] years), including 51 438 assigned female at birth and 37 904 assigned male at birth. The sample included 2352 individuals who were TGNC, 6501 who were cisgender LGB, and 80 489 who were cisgender heterosexual. Compared with their cisgender heterosexual peers, TGNC and LGB younger adults were more likely to experience increased psychiatric symptoms across categories and suicide risk, as well as more severe forms of symptoms. In particular, overall suicide risk was 43.03% among TGNC individuals, 36.21% among LGB individuals, and 11.70% among cisgender heterosexual younger adults. Controlling for demographic variables and compared with cisgender heterosexual peers, TGNC young adults had higher odds of suicide risk (adjusted odds ratio, 5.38; 95% CI, 4.94-5.86; P &lt; .001) and of past-year NSSI (adjusted odds ratio, 6.55; 95% CI, 5.87-7.30; P &lt; .001). Separate within-group analyses for LGB and TGNC younger adults highlighted the vulnerability of bisexual women and gender nonbinary groups, as well as the relevance of minority stress-related risk factors, including peer bullying and assault and loneliness.Conclusions and RelevanceThis study noted disparities of mental health issues among LGB, transgender, or queer or questioning younger adults in China and suggests a high urgency to address psychological health and prevent suicide in this population. Targeted public health initiatives may be needed to reduce stigma and discrimination, train competent health care professionals, and create affirmative mental health policies and systems of care.

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Factors Associated With Non-suicidal Self-Injury in Chinese Adolescents: A Meta-Analysis

Cited by 31 publications

References 49 publications

Key factors selection on adolescents with non-suicidal self-injury: A support vector machine based approach

Key factors selection on adolescents with non-suicidal self-injury: A support vector machine based approach

Tumor markers and depression scores are predictive of non-suicidal self-injury behaviors among adolescents with depressive disorder: A retrospective study

Analysis of Psychiatric Symptoms and Suicide Risk Among Younger Adults in China by Gender Identity and Sexual Orientation

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