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Status and influencing factors of academic burnout among undergraduate nursing students based on random forest modeling: a cross-sectional study.

Publicado en:BMC Nursing Vol. 24; no. 1; pp. 1 - 12
Autores principales: Li, Ting, Shi, Xiaoqing, Wang, Jialin, Yu, Meng, Li, Fuyu, Xu, Heyao, An, Qi, Ma, Jiyi
Formato: research tables/charts Journal Article
Publicado: BioMed Central 11/17/2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 11/17/2025
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      pub: BioMed Central
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        10.1186/s12912-025-04036-2
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        atl: Status and influencing factors of academic burnout among undergraduate nursing students based on random forest modeling: a cross-sectional study.
      aug:
        au:
          Li, Ting
          Shi, Xiaoqing
          Wang, Jialin
          Yu, Meng
          Li, Fuyu
          Xu, Heyao
          An, Qi
          Ma, Jiyi
        affil: https://ror.org/00pcrz470 School of Nursing, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Road, Wenjiang District, 611137, Chengdu, Sichuan, China
      sug:
        subj:
          Students, Nursing, Baccalaureate Psychosocial Factors
          Stress, Psychological Evaluation
          Stress, Psychological Risk Factors
          Risk Assessment
          Human
          Male
          Female
          Adolescence
          Adult
          Cross Sectional Studies
          Descriptive Statistics
          Random Forest
          Convenience Sample
          Scales
          Academic Performance
          Multiple Linear Regression
          Machine Learning Algorithms
          Time Management
          Fatigue
          Self Regulation
          One-Way Analysis of Variance
          Unpaired T-Tests
          China
          Funding Source
          Adolescent: 13-18 years
          Adult: 19-44 years
          Male
          Female
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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