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Latent profile analysis of artificial intelligence anxiety among undergraduate nursing students
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Li SHANG, Jiayi HU, Lujia BI, Lanlan XU
Chinese Nursing Research | 2026, 40(16) : 2797 - 2803
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Chinese Nursing Research | 2026, 40(16): 2797-2803
• Original Articles •
Latent profile analysis of artificial intelligence anxiety among undergraduate nursing students
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Li SHANG, Jiayi HU, Lujia BI, Lanlan XU
Affiliations
  • 1School of Nursing, Hubei University of Medicine, Hubei 442000 China
Published: 2026-08-25 doi: 10.12102/j.issn.1009-6493.2026.16.005
Outline
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Objective

To analyze the latent profiles of artificial intelligence anxiety among undergraduate nursing students,and to explore the influencing factors of artificial intelligence anxiety among different profiles of nursing students.

Methods

Using the convenience sampling method,from April to May 2025,a total of 720 undergraduate nursing students from three medical colleges in Hubei province were selected as the research subjects.The general information questionnaire,Artificial Intelligence Anxiety Scale(AIAS) and Medical Artificial Intelligence Readiness Scale(MAIRS) were used for the investigation.

Results

The score of artificial intelligence anxiety among undergraduate nursing students was 86.00±20.95.They could be divided into three latent profiles:low anxiety-rational alertness type (10.4%), medium anxiety-risk sensitivity type(65.3%),and high anxiety-generalized fear type(24.3%).Logistic regression analysis results showed that grade,the willingness to try using artificial intelligence tools in clinical practice,and medical artificial intelligence readiness were the influencing factors of artificial intelligence anxiety among undergraduate nursing students(all P<0.05).

Conclusion

The artificial intelligence anxiety among undergraduate nursing students is at a moderately high level.There is heterogeneity.Nursing educators need to develop precise intervention plans for undergraduate nursing students based on the influencing factors,so as to help them better adapt to the nursing education and career development requirements in the era of intelligence.

undergraduate nursing students  /  artificial intelligence anxiety  /  latent profile analysis  /  influencing factors
商丽, 胡佳一, 毕璐佳, 徐兰兰. 本科护生人工智能焦虑的潜在剖面分析. 护理研究, 2026 , 40 (16) : 2797 -2803 . DOI: 10.12102/j.issn.1009-6493.2026.16.005
Li SHANG, Jiayi HU, Lujia BI, Lanlan XU. Latent profile analysis of artificial intelligence anxiety among undergraduate nursing students[J]. Chinese Nursing Research, 2026 , 40 (16) : 2797 -2803 . DOI: 10.12102/j.issn.1009-6493.2026.16.005
Year 2026 volume 40 Issue 16
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doi: 10.12102/j.issn.1009-6493.2026.16.005
  • Receive Date:2025-10-12
  • Online Date:2026-10-30
  • Published:2026-08-25
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History
  • Received:2025-10-12
  • Revised:2026-07-28
Affiliations
    1School of Nursing, Hubei University of Medicine, Hubei 442000 China
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