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Improving the risk management of Type 2 diabetes mellitus in China from the perspective of social relationships
Author(s) -
Wang Xiaojia,
Chen Mi,
Xia Wei,
Zhu Keyu,
Zhang Shanshan,
Xu Weiqun,
Guan Yuxiang
Publication year - 2020
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/exsy.12484
Subject(s) - type 2 diabetes mellitus , china , perspective (graphical) , risk management , risk analysis (engineering) , disease , knowledge management , computer science , medicine , diabetes mellitus , business , finance , geography , archaeology , pathology , endocrinology , artificial intelligence
In China, Type 2 diabetes mellitus (T2DM) is increasingly affecting people's health. Although many risk factors related to T2DM have been researched, the association between social relationships and risk management of T2DM in China has not been fully researched. Therefore, we obtained 2,969 valid cases from the National Chinese Medicine Clinical Research Base‐Key Disease of Diabetes Mellitus Study to evaluate the role of social relationships in the risk management of T2DM. We first establish an indicators system of social relationship factors and then propose a comprehensive method that integrates subjective (analytical network process) and objective (entropy weight method) evaluations to rank the importance of the 17 social relationship factors that were the most important and commonly used. The results suggest that different social relationship factors have different effects on the risk management of T2DM. Patients and health workers should pay more attention to the high‐benefit factors and thus improve the efficiency of the risk management of T2DM. These findings provided theoretical support for patients and health workers by developing the positive effects of social relationships in improving the risk management of T2DM to the fullest degree.