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Latent profile analysis of regulatory emotional self-efficacy and non-suicidal self-injury behavior among junior and senior high school students
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Jinyi WU1, Wanzhu ZHANG1, 2, Wenxin ZHAO1, Ying GAO2, Xiwen DENG2, Meiqi XIONG1, Jingjing LU2
Chinese Journal of School Health | 2026, 47(3) : 360 - 364
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Chinese Journal of School Health | 2026, 47(3): 360-364
Mental Health
Latent profile analysis of regulatory emotional self-efficacy and non-suicidal self-injury behavior among junior and senior high school students
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Jinyi WU1, Wanzhu ZHANG1, 2, Wenxin ZHAO1, Ying GAO2, Xiwen DENG2, Meiqi XIONG1, Jingjing LU2
Affiliations
  • School of Public Health and Wellness, Guizhou Medical University/Key Laboratory of Environmental Pollution and Disease Surveillance, Ministry of Education, Guiyang 561113, Guizhou Province, China
Published: 2026-03-25 doi: 10.16835/j.cnki.1000-9817.2026078
Outline
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Objective

To explore the latent profile characteristics of regulatory emotional self-efficacy and its relationship with non-suicidal self-injurious (NSSI) behavior among junior and senior high school students, so as to provide a basis for effectively reducing NSSI behaviors.

Methods

From April to October 2023, a total of 1 217 junior and senior high school students were selected from Tongren City, Zunyi City and Qiannan Prefecture of Guizhou Province by stratified cluster random sampling method.The Scale of Regulatory Emotional Self-efficacy and the Adolescent Self-injury Scale were administered.Latent profile analysis (LPA) was employed to explore distinct profiles of regulatory emotional self-efficacy, and the Lanza, Tan, and Bray's method (LTB) was used to analyze the relationship between these profiles and NSSI behavior.

Results

The prevalence rate of NSSI behavior among junior and senior high school students was 28.6%.Among males, regulatory emotional self-efficacy was categorized into two types: moderate positive expression-low negative management group (59.1%, n=353) and high-efficacy group (40.9%, n=244);among females, regulatory emotional self-efficacy was classified into three categories: low-efficacy group (18.4%, n=114), high positive expression-low negative management group (56.3%, n=349), and high-efficacy group (25.3%, n=157).There were statistically significant differences in total NSSI scores across different potential categories of regulatory emotional self-efficacy within both males and females (Z/H=-5.75, 57.58, both P < 0.01).The differences in NSSI prevalence rates across the potential categories of regulatory emotional self-efficacy were statistically significant for both males and females (χ2=38.00, 69.14, both P < 0.01), and among females, the differences in NSSI prevalence rates between the high-efficacy group and the low-efficacy group (χ2=60.01) and between the high-efficacy group and the high positive expression-low negative management group (χ2=31.34) were also statistically significant (both P < 0.016 7).Binary Logistic regression analysis revealed that, compared with the high-efficacy group within each gender, the moderate positive expression-low negative management group among males (OR=2.36), and both the low-efficacy group and the high positive expression-low negative management group among females (OR=6.19, 2.97), were at an increased risk of engaging in NSSI (all P < 0.01).

Conclusion

Different latent profiles of regulatory emotional self-efficacy among junior and senior high school students are associated with NSSI behavior.

Emotions  /  Ego  /  Self-injurious behavior  /  Regression analysis  /  Students
Jinyi WU, Wanzhu ZHANG, Wenxin ZHAO, Ying GAO, Xiwen DENG, Meiqi XIONG, Jingjing LU. Latent profile analysis of regulatory emotional self-efficacy and non-suicidal self-injury behavior among junior and senior high school students[J]. Chinese Journal of School Health, 2026 , 47 (3) : 360 -364 . DOI: 10.16835/j.cnki.1000-9817.2026078
Year 2026 volume 47 Issue 3
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Article Info
doi: 10.16835/j.cnki.1000-9817.2026078
  • Receive Date:2025-09-01
  • Online Date:2026-05-08
  • Published:2026-03-25
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History
  • Received:2025-09-01
  • Revised:2025-12-07
Affiliations
    School of Public Health and Wellness, Guizhou Medical University/Key Laboratory of Environmental Pollution and Disease Surveillance, Ministry of Education, Guiyang 561113, Guizhou Province, China
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表12种不同金属材料的力学参数

Family
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Number of
genus
种数
Number of
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占总种数比例
Percentage of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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