基于分类回归树模型对本科护生的亚健康结局分析及预测研究

职业与健康 ›› 2023, Vol. 39 ›› Issue (13): 1836-1840.

基于分类回归树模型对本科护生的亚健康结局分析及预测研究

张曼¹, 崔怡², 杜娟², 郑旭彤³, 高丹⁴, 郎红娟²

1.延安大学医学院,陕西延安 710000;
2.中国人民解放军空军军医大学护理系,陕西西安 710032;
3.福建中医药大学护理学院,福建福州 350000;
4.上海交通大学医学院附属瑞金医院肝肾移植中心,上海 200025

收稿日期:2022-09-30 修回日期:2022-11-07 发布日期:2026-03-24
通信作者: 郎红娟,教授,E-mail：langhj@fmmu.edu.cn
作者简介:张曼,女,在读硕士研究生,研究方向为临床护理。

Analysis and prediction of sub-health outcomes of undergraduate nursing students based on classification and regression tree model

ZHANG Man¹, CUI Yi², DU Juan², ZHENG Xutong³, GAO Dan⁴, LANG Hongjuan²

1. School of Medicine,Yan'an University,Yan'an Shaanxi,710000,China;
2. School of Nursing, Air Force Military Medical University of PLA,Xi'an Shaanxi,710032,China;
3. School of Nursing,Fujian University of Traditional Chinese Medicine,Fuzhou Fujian,350000,China;
4. Liver and Kidney Transplantation Center,Ruijin Hospital Affiliated to Medicine School of Shanghai Jiaotong University,Shanghai,200025,China

Received:2022-09-30 Revised:2022-11-07 Published:2026-03-24
Contact: LANG Hongjuan,Professor,E-mail：langhj@fmmu.edu.cn

摘要/Abstract

摘要： 目的应用分类回归树模型了解本科护生的亚健康状况并预测其特征人群。方法 2021年12月—2022年3月,便利选取西安市某高校在校护生363人为调查对象,采用亚健康量表（the suboptimal health status questionnaire-25,SHSQ-25）调查护理专业学生的亚健康现状,并对数据进行分析。结果护生中亚健康的检出率为90.6%。不同生源地、自评压力程度及每晚睡眠时长本科护生的亚健康得分比较,差异均有统计学意义（均P<0.05）。有失眠、熬夜习惯;熬夜后精神状态影响较大及以上;1周内熬夜3次以上护生的亚健康得分最高[（80.57±16.12）分],有失眠、熬夜习惯;近1周内无熬夜的本科护生亚健康得分最低[（46.18±10.94）分]。结论西安市某高校本科护生的亚健康状况呈中等以上水平,且受年级、压力程度、熬夜等因素的影响,护理教育者应针对不同生源地、失眠状况以及熬夜原因的护生开展相应的健康宣教活动,以提高本科护生的健康素养。

关键词: 护生, 亚健康, 分类回归树, 预测

Abstract: Objective To understand the sub-health status of undergraduate nursing students and predict their characteristic population by the classification and regression tree model. Methods From December 2021 to March 2022,363 nursing students enrolled in a university inXi'an City were collected by the convenience sampling,the sub-health status of nursing students were investigated by the suboptimal health status questionnaire-25（SHSQ-25）,and the data were analyzed. Results The sub-health detection rate of nursing students was 90.6%. There were statistically significant differences in the sub-health scores among undergraduate nursing students with different place of birth,self-rated stress level,and hours of sleep per night（all P<0.05）. The highest sub-health score[（80.57±16.12）points] was found in undergraduate nursing students with insomnia and staying up late habit,mental state was seriously or extremely affected by staying up late,and staying up late more than three times in a week,and the the lowest sub-health score[（46.18±10.94）points] was found in undergraduate nursing students who did not stay up late in the recent week. Conclusion The sub-health status of undergraduate nursing studentsin a university in Xi'an City is moderate or above,and affected by the grade,stress level,and the habit of staying up late,so the nursing educators should conduct scientific and effective health-related activities and knowledge lectures to improve the health awareness and status of undergraduate nursing students according to theirplace of birth,insomnia status,and reasons for staying up late.

Key words: Nursing students, Sub-health, Classification and regression tree, Prediction

中图分类号:

R181.3⁺7

张曼, 崔怡, 杜娟, 郑旭彤, 高丹, 郎红娟. 基于分类回归树模型对本科护生的亚健康结局分析及预测研究. [J]职业与健康, 2023, 39(13): 1836-1840.

ZHANG Man, CUI Yi, DU Juan, ZHENG Xutong, GAO Dan, LANG Hongjuan. Analysis and prediction of sub-health outcomes of undergraduate nursing students based on classification and regression tree model. [J]OCCUPATION AND HEALTH, 2023, 39(13): 1836-1840.

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