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Risk Factor and Countermeasure on Non Suicidal Self Injuring Behavior

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DOI: 10.23977/appep.2023.040203 | Downloads: 15 | Views: 428

Author(s)

Shuo Chen 1, Junyu Lin 1

Affiliation(s)

1 Zhejiang Business Technology Institute, Ningbo, Zhejiang 315012, China

Corresponding Author

Junyu Lin

ABSTRACT

Non suicidal self-injuring behavior is a common social phenomenon in the youth world. This paper analyzes the dilemma of non-suicidal self-injuring behavior from the sociological perspective, and puts forward relevant suggestions and countermeasures to promote social stability and harmonious development. This article mainly used the way of follow-up and investigation to analyze the way, quantity and influencing factors of non suicidal self injuring behaviors. The survey data shows that beating oneself is the most common way of self-injuring behavior, and about 6% of students use this way to self harm. The self-injuring behavior of men is higher than that of women.

KEYWORDS

Non Suicide, Self-Injuring Behaviour, Risk Factors, Avoidance Countermeasures

CITE THIS PAPER

Shuo Chen, Junyu Lin, Risk Factor and Countermeasure on Non Suicidal Self Injuring Behavior. Applied & Educational Psychology (2023) Vol. 4: 12-19. DOI: http://dx.doi.org/10.23977/appep.2023.040203.

REFERENCES

[1] Kristine D. Cantin-Garside, Maury A. Nussbaum, Susan W. White, Sunwook Kim, Chung Do Kim, Diogo M. G. Fortes, Rupa S. Valdez: Understanding the Experiences of Self-Injurious Behavior in Autism Spectrum Disorder: Implications for Monitoring Technology Design. J. Am. Medical Informatics Assoc. 28(2): 303-310 (2021).
[2] W. Ben Mortenson, Gurkaran Singh, Megan MacGillivray, Mahsa Sadeghi, Patricia Mills, Jared Adams, Bonita Sawatzky: Development of a Self-Management App for People with Spinal Cord Injury. J. Medical Syst. 43(6): 145:1-145:12 (2019).
[3] Aaron M. Vieira, Stephen P. Lewis: Mobile Apps for Self-Injury: A Content Analysis. Cyberpsychology Behav. Soc. Netw. 21(5): 333-337 (2018).
[4] Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean: Negatively Correlated Noisy Learners for At-Risk User Detection on Social Networks: A Study on Depression, Anorexia, Self-Harm, and Suicide. IEEE Trans. Knowl. Data Eng. 35(1): 770-783 (2023).
[5] Vlada Rozova, Katrina Witt, Jo Robinson, Yan Li, Karin Verspoor: Detection of self-harm and suicidal ideation in emergency department triage notes. J. Am. Medical Informatics Assoc. 29(3): 472-480 (2022).
[6] Gregory E. Simon, Susan M. Shortreed, Jennifer M. Boggs, Gregory N. Clarke, Rebecca C. Rossom, Julie E. Richards, Arne Beck, Brian K. Ahmedani, Karen J. Coleman, Bhumi Bhakta, Christine C. Stewart, Stacy Sterling, Michael Schoenbaum, R. Yates Coley, Marc Stone, Andrew D. Mosholder, Zimri S. Yaseen: Accuracy of ICD-10-CM encounter Diagnoses from Health Records for Identifying Self-Harm Events. J. Am. Medical Informatics Assoc. 29(12): 2023-2031 (2022).
[7] Moncef L. Nehdi, Behrooz Keshtegar, Shun-Peng Zhu: Nonlinear Modeling for Bar bond Stress Using Dynamical Self-Adjusted Harmony Search Optimization. Eng. Comput. 37(1): 409-420 (2021).
[8] Sarah Wright: Epistemic harm and virtues of self-evaluation. Synth. 198(7-S): 1691-1709 (2021).
[9] Hadj Ahmed Bouarara: Detection and Prevention of Twitter Users with Suicidal Self-Harm Behavior. Int. J. Knowl. Based Organ. 10(1): 49-61 (2020).
[10] Praveen Kumar, Anastasiya Nestsiarovich, Stuart J. Nelson, Berit Kerner, Douglas J. Perkins, Christophe G. Lambert: Imputation and Characterization of Uncoded Self-Harm in Major Mental Illness Using Machine Learning. J. Am. Medical Informatics Assoc. 27(1): 136-146 (2020).
[11] Paul Dodemaide, Lynette Joubert, Mark Merolli, Nicole Hill: Exploring the Therapeutic and Nontherapeutic Affordances of Social Media Use by Young Adults with Lived Experience of Self-Harm or Suicidal Ideation: A Scoping Review. Cyberpsychology Behav. Soc. Netw. 22(10): 622-633 (2019).
[12] Daniela Villani, Eleonora Florio, Angela Sorgente, Ilaria Castelli, Giuseppe Riva, Antonella Marchetti, Davide Massaro: Adolescents' Beliefs About Peers' Engagement in an Online Self-Harm Challenge: Exploring the Role of Individual Characteristics Through a Latent Class Analysis. Cyberpsychology Behav. Soc. Netw. 22(11): 684-691 (2019).
[13] Yukari Seko, Stephen P. Lewis: The self - Harmed, Visualized, and Reblogged: Remaking of Self-Injury Narratives on Tumblr. New Media Soc. 20(1): 180-198 (2018).

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