临床医学论著

基于Logistic回归与决策树模型的中老年2型糖尿病患者低血糖恐惧影响因素分析*

  • 崔玉 ,
  • 赵秋平 ,
  • 康俊贤 ,
  • 汪凤兰
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  • 华北理工大学 护理与康复学院, 河北唐山 063000
汪凤兰

收稿日期: 2023-08-24

  网络出版日期: 2024-05-20

基金资助

*河北省卫计委医学科学研究重点课题(20170897)

Influencing factors on fear of hypoglycemiain middle-aged and elderly patients with type 2 diabetes mellitus based on Logistic regression and decision tree model

  • CUI Yu ,
  • ZHAO Qiuping ,
  • KANG Junxian ,
  • WANG Fenglan
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  • School of Nursing and Rehabilitation, North China University ofScience and Technology, Tangshan 063000, China

Received date: 2023-08-24

  Online published: 2024-05-20

摘要

目的: 多角度分析中老年2型糖尿病患者低血糖恐惧的影响因素,为临床早期识别和筛查低血糖恐惧提供参考依据。方法: 选取唐山市工人医院内分泌科室住院的中老年2型糖尿病患者404例作为研究对象,采用Logistic回归与决策树模型分析中老年2型糖尿病患者低血糖恐惧的影响因素并比较两种模型的差异。结果: Logistic回归分析结果显示,婚姻状况、入院空腹血糖、糖尿病病程、治疗类型、低血糖类型、夜间低血糖经历为中老年2型糖尿病患者低血糖恐惧的影响因素;决策树模型结果显示糖尿病病程、低血糖类型、夜间低血糖经历为其影响因素。结论: 可将Logistic回归与决策树模型结合探讨分析中老年2型糖尿病患者低血糖恐惧的影响因素,多角度分析其影响因素,为临床实施早期干预措施提供参考依据。

本文引用格式

崔玉 , 赵秋平 , 康俊贤 , 汪凤兰 . 基于Logistic回归与决策树模型的中老年2型糖尿病患者低血糖恐惧影响因素分析*[J]. 包头医学院学报, 2024 , 40(5) : 28 -32 . DOI: 10.16833/j.cnki.jbmc.2024.05.006

Abstract

Objective: To analyze the influencing factors of fear of hypoglycemia in middle-aged and elderly patients with type 2 diabetes mellitus from multiple perspectives, and to provide reference for early clinical identification and screening of fear of hypoglycemia. Methods: A total of 404 middle-aged and elderly patients with type 2 diabetes mellitus who were hospitalized in the Department of Endocrinology, Tangshan Gongren Hospital were selected as the research objects. Logistic regression and decision tree model were used to analyze the influencing factors of fear of hypoglycemia in middle-aged and elderly patients with type 2 diabetes mellitus, and the differences between the two models were compared. Results: Logistic regression analysis showed that marital status, fasting blood glucose at admission, duration of diabetes, type of treatment, type of hypoglycemia, and nocturnal hypoglycemia were the influencing factors of fear of hypoglycemia in middle-aged and elderly patients with type 2 diabetes mellitus. While, the results of the decision tree model showed that the duration of diabetes, the type of hypoglycemia, and the experience of nocturnal hypoglycemia were the influencing factors. Conclusion: Logistic regression and decision tree model can be combined to explore and analyze the influencing factors of fear of hypoglycemia in middle-aged and elderly patients with type 2 diabetes mellitus from multiple perspectives, so as to provide reference for clinical implementation of early intervention measures.

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