Scholarlink

Background <p>Non-suicidal self-injury (NSSI) in adolescents is closely associated with borderline personality features and difficulties in emotion regulation. However, the network-level associations between these two constructs remain unclear among community adolescents with NSSI endorsement who have not necessarily received clinical attention.</p> Methods <p>A total of 1,634 community adolescents were enrolled. NSSI, borderline personality features, and difficulties in emotion regulation were assessed using the Adolescent Non-suicidal Self-injury Assessment Questionnaire (ANSAQ), the McLean Screening Instrument for Borderline Personality Disorder (MSI-BPD), and the Brief Version of the Difficulties in Emotion Regulation Scale (DERS-16), respectively. Networks were estimated separately for adolescents with and without NSSI endorsement to examine node centrality, bridge expected influence (Bridge EI), and network differences using the Network Comparison Test (NCT). A directed acyclic graph (DAG) analysis based on the hill-climbing algorithm was conducted within the NSSI group as a hypothesis-generating approach to explore possible directional dependencies among symptom dimensions.</p> Results <p>(1) The past-year NSSI endorsement rate was 32.44% (<i>n</i> = 530). (2) The NCT indicated no significant between group differences in overall network structure or global strength (<i>p</i> &gt; 0.05). (3) In both networks, Limited access to emotion regulation strategies perceived as effective showed the highest expected influence (NSSI group: EI = 1.389; non-NSSI group: EI = 1.228). (4) Bridge analysis identified the highest Bridge EI for Difficulties controlling impulsive behaviours when distressed within the NSSI network (Bridge EI = 0.268) and for Unstable emotion within the non-NSSI network (Bridge EI = 0.206); however, corrected permutation-based comparisons showed no significant node-level between-group differences (<i>p</i> &gt; 0.05). (5) The DAG suggested a possible directional organization in which difficulties in emotion regulation appeared in relatively earlier positions within the learned structure, but these findings should be interpreted as exploratory directional hypotheses rather than causal effects.</p> Conclusion <p>Limited access to effective emotion regulation strategies was the most central node across both networks. The bridge-centrality findings suggest descriptive within-network patterns, including the prominence of difficulties controlling impulsive behaviours when distressed in the NSSI network, but they should not be interpreted as statistically supported group-specific effects. Overall, the findings underscore the relevance of emotion regulation difficulties in networks of borderline personality features and emotion-regulation difficulties stratified by NSSI endorsement, while the cross-sectional design precludes causal inference.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Borderline Personality Features and Difficulties in Emotion Regulation in Community-Based Adolescents with Non-suicidal Self-injury: An Undirected Network Analysis and Bayesian Network Approach

  • 期刊论文

  • 发表日期：

    2026年7月12日

查看全文
  • Peiyu Zhang,
  • Yunhan Zhao,
  • Yihui Qin,
  • Ang Chen,
  • Chunhua He,
  • Shuhua He,
  • Qingwen Lin,
  • Zisheng Ai,
  • Fazhan Chen,
  • Jingyu Shi

摘要

Background

Non-suicidal self-injury (NSSI) in adolescents is closely associated with borderline personality features and difficulties in emotion regulation. However, the network-level associations between these two constructs remain unclear among community adolescents with NSSI endorsement who have not necessarily received clinical attention.

Methods

A total of 1,634 community adolescents were enrolled. NSSI, borderline personality features, and difficulties in emotion regulation were assessed using the Adolescent Non-suicidal Self-injury Assessment Questionnaire (ANSAQ), the McLean Screening Instrument for Borderline Personality Disorder (MSI-BPD), and the Brief Version of the Difficulties in Emotion Regulation Scale (DERS-16), respectively. Networks were estimated separately for adolescents with and without NSSI endorsement to examine node centrality, bridge expected influence (Bridge EI), and network differences using the Network Comparison Test (NCT). A directed acyclic graph (DAG) analysis based on the hill-climbing algorithm was conducted within the NSSI group as a hypothesis-generating approach to explore possible directional dependencies among symptom dimensions.

Results

(1) The past-year NSSI endorsement rate was 32.44% (n = 530). (2) The NCT indicated no significant between group differences in overall network structure or global strength (p > 0.05). (3) In both networks, Limited access to emotion regulation strategies perceived as effective showed the highest expected influence (NSSI group: EI = 1.389; non-NSSI group: EI = 1.228). (4) Bridge analysis identified the highest Bridge EI for Difficulties controlling impulsive behaviours when distressed within the NSSI network (Bridge EI = 0.268) and for Unstable emotion within the non-NSSI network (Bridge EI = 0.206); however, corrected permutation-based comparisons showed no significant node-level between-group differences (p > 0.05). (5) The DAG suggested a possible directional organization in which difficulties in emotion regulation appeared in relatively earlier positions within the learned structure, but these findings should be interpreted as exploratory directional hypotheses rather than causal effects.

Conclusion

Limited access to effective emotion regulation strategies was the most central node across both networks. The bridge-centrality findings suggest descriptive within-network patterns, including the prominence of difficulties controlling impulsive behaviours when distressed in the NSSI network, but they should not be interpreted as statistically supported group-specific effects. Overall, the findings underscore the relevance of emotion regulation difficulties in networks of borderline personality features and emotion-regulation difficulties stratified by NSSI endorsement, while the cross-sectional design precludes causal inference.