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Journal of Nursing ›› 2024, Vol. 31 ›› Issue (1): 52-57.doi: 10.16460/j.issn1008-9969.2024.01.052

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Risk prediction model of oteoporosis in patients with type 2 diabetes: a scoping review

SHI Ting-ting1, LI Ting2a, HUANG You-peng3a, ZHAO Yuan3b, ZHU Xiao-li2b, ZHOU Meng-juan3a, CHEN Yun-mei1   

  1. 1. School of Nursing, Honghe Health Vocational College, Mengzi 661100, China;
    2a. Dept. of Emergency; 2b. Dept. of Endocrinology, the First Affiliated Hospital of Dali University, Dali 671000, China;
    3a. School of Nursing; 3b. School of Public Health, Dali University, Dali 671000, China
  • Received:2023-09-02 Online:2024-01-10 Published:2024-02-19

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Abstract: Objective To conduct a scoping review on risk prediction model of osteoporosis in patients with type 2 diabetes, and to provide reference for its prevention and clinical nursing. Methods The Chinese and English databases were systematically searched, and the risk of literature bias was evaluated. The incidence of osteoporosis in patients with type 2 diabetes, model construction, model predictors and performance were extracted, and the predictors of risk prediction model were classified. Results Sixteen studies were included, involving 16 models. The prevalence of osteoporosis in patients with type 2 diabetes ranged from 14.4% to 54.08%. The overall effectiveness of the model was good, but the method of model construction was single. Age, duration of diabetes and body mass index were important factors in the risk prediction model of osteoporosis in patients with type 2 diabetes. Conclusion Nursing staff should pay attention to the high risk factors of osteoporosis in patients with type 2 diabetes, and evaluation tools with good performance should be considered to guide nursing practice. A model with good performance and strong practicability can be constructed by means of visualization, and be continuously optimized through forward-looking, multi-center and external verification in order to achieve the best prediction effect and provide timely intervention for the patients.

Key words: type 2 diabetes, osteoporosis, prediction model, risk prediction, scoping review

CLC Number: 

  • R473.58
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