PMID- 38532971
OWN - NLM
STAT- MEDLINE
DCOM- 20240328
LR  - 20240506
IS  - 2296-2565 (Electronic)
IS  - 2296-2565 (Linking)
VI  - 12
DP  - 2024
TI  - Factors and pathways of non-suicidal self-injury in children: insights from 
      computational causal analysis.
PG  - 1305746
LID - 10.3389/fpubh.2024.1305746 [doi]
LID - 1305746
AB  - BACKGROUND: Non-suicidal self-injury (NSSI) has become a significant public 
      health issue, especially prevalent among adolescents. The complexity and 
      multifactorial nature of NSSI necessitate a comprehensive understanding of its 
      underlying causal factors. This research leverages the causal discovery 
      methodology to explore these causal associations in children. METHODS: An 
      observational dataset was scrutinized using the causal discovery method, 
      particularly employing the constraint-based approach. By integrating machine 
      learning and causal inference techniques, the study aimed to determine direct 
      causal relationships associated with NSSI. The robustness of the causal 
      relationships was evaluated using three methods to construct and validate it: the 
      PC (Peter and Clark) method, Fast Causal Inference (FCI) method, and the GAE 
      (Graphical Autoencoder) method. RESULTS: Analysis identified nine nodes with 
      direct causal relationships to NSSI, including life satisfaction, depression, 
      family dysfunction, sugary beverage consumption, PYD (positive youth 
      development), internet addiction, COVID-19 related PTSD, academic anxiety, and 
      sleep duration. Four principal causal pathways were identified, highlighting the 
      roles of lockdown-induced lifestyle changes, screen time, positive adolescent 
      development, and family dynamics in influencing NSSI risk. CONCLUSIONS: An 
      in-depth analysis of the factors leading to Non-Suicidal Self-Injury (NSSI), 
      highlighting the intricate connections among individual, family, and 
      pandemic-related influences. The results, derived from computational causal 
      analysis, underscore the critical need for targeted interventions that tackle 
      these diverse causative factors.
CI  - Copyright (c) 2024 Guo, Wang, Li, Feng, Lu, Jiang and Zhao.
FAU - Guo, Xinyu
AU  - Guo X
AD  - Department of Health Policy and Management, West China School of Public Health 
      and West China Fourth Hospital, Sichuan University, Chengdu, China.
FAU - Wang, Linna
AU  - Wang L
AD  - College of Computer Science, Sichuan University, Chengdu, Sichuan, China.
FAU - Li, Zhenchao
AU  - Li Z
AD  - Department of Health Policy and Management, West China School of Public Health 
      and West China Fourth Hospital, Sichuan University, Chengdu, China.
FAU - Feng, Ziliang
AU  - Feng Z
AD  - College of Computer Science, Sichuan University, Chengdu, Sichuan, China.
FAU - Lu, Li
AU  - Lu L
AD  - College of Computer Science, Sichuan University, Chengdu, Sichuan, China.
FAU - Jiang, Lihua
AU  - Jiang L
AD  - Department of Health Policy and Management, West China School of Public Health 
      and West China Fourth Hospital, Sichuan University, Chengdu, China.
AD  - Teaching and Research Section of General Practice, The General Practice Medical 
      Center, West China Hospital of Sichuan University, Chengdu, China.
FAU - Zhao, Li
AU  - Zhao L
AD  - Department of Health Policy and Management, West China School of Public Health 
      and West China Fourth Hospital, Sichuan University, Chengdu, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20240312
PL  - Switzerland
TA  - Front Public Health
JT  - Frontiers in public health
JID - 101616579
SB  - IM
MH  - Adolescent
MH  - Child
MH  - Humans
MH  - Anxiety
MH  - Anxiety Disorders
MH  - Family Relations
MH  - Risk Factors
MH  - *Self-Injurious Behavior
MH  - Observation
PMC - PMC10963487
OTO - NOTNLM
OT  - COVID-19
OT  - NSSI
OT  - artificial intelligence
OT  - causal discovery
OT  - mental health
OT  - risk factors
COIS- The authors declare that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2024/03/27 06:44
MHDA- 2024/03/28 06:44
PMCR- 2024/03/12
CRDT- 2024/03/27 03:49
PHST- 2023/10/02 00:00 [received]
PHST- 2024/02/23 00:00 [accepted]
PHST- 2024/03/28 06:44 [medline]
PHST- 2024/03/27 06:44 [pubmed]
PHST- 2024/03/27 03:49 [entrez]
PHST- 2024/03/12 00:00 [pmc-release]
AID - 10.3389/fpubh.2024.1305746 [doi]
PST - epublish
SO  - Front Public Health. 2024 Mar 12;12:1305746. doi: 10.3389/fpubh.2024.1305746. 
      eCollection 2024.