Construction of a Predictive Model for Diabetes Mellitus Type 2 in Middle-Aged and Elderly Populations Based on the Medical Checkup Data of National Basic Public Health Service

• Published in: Sichuan da xue xue bao. Journal of Sichuan University. Yi xue ban Vol. 55; no. 3; p. 662
• Main Authors: Yang, Huifang, Yuan, Lu, Wu, Jiefeng, Li, Xingyue, Long, Lu, Teng, Yilin, Feng, Wanting, Lyu, Liang, Xu, Bin, Ma, Tianpei, Xiao, Jinyu, Zhou, Dingzi, Li, Jiayuan
• Format: Journal Article
• Language: Chinese
• Published: China 20-05-2024
• Subjects: Aged; China - epidemiology; Cohort Studies; Diabetes Mellitus, Type 2 - epidemiology; Female; Humans; Incidence; Logistic Models; Male; Middle Aged; Public Health; Risk Factors; China; Middle-aged and elderly populations; Diabetes mellitus, Type 2; Risk prediction; Basic public health service
• DOI: 10.12182/20240560502
• ISSN: 1672-173X

To establish a universally applicable logistic risk prediction model for diabetes mellitus type 2 (T2DM) in the middle-aged and elderly populations based on the results of a Meta-analysis, and to validate and confirm the efficacy of the model using the follow-up data of medical check-ups of National Basic Public Health Service.
Cohort studies evaluating T2DM risks were identified in Chinese and English databases. The logistic model utilized Meta-combined effect values such as the odds ratio (OR) to derive
, the partial regression coefficient, of the logistic model. The Meta-combined incidence rate of T2DM was used to obtain the parameter
of the logistic model. Validation of the predictive performance of the model was conducted with the follow-up data of medical checkups of National Basic Public Health Service. The follow-up data came from a community health center in Chengdu and were collected between 2017 and 2022 from 7602 individuals who did not have T2DM at their baseline medical checkups done at the comm