Lartey Agyei Helena, Li Xiaona, Li Zhongqi, Zhang Qun, Wang Jianming
Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Department of Health Management, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
BMC Public Health. 2021 Feb 9;21(1):320. doi: 10.1186/s12889-021-10367-x.
Fasting plasma glucose (FPG) variability is a significant predictor of mortality, especially in patients with poor glycemic control. This study aimed to explore the temporal age- and sex-specific profiles of temporal FPG variability in a Chinese population undergoing routine health screening and to guide the development of targeted public health interventions for the prevention and control of diabetes.
In this cross-sectional study, we used a general linear model to compare differences in temporal FPG values between sexes and across age groups in 101,886 Nanjing residents who underwent a routine physical health examination at the Health Management Center, the First Affiliated Hospital of Nanjing Medical University, in 2018. The variability of FPG as a function of time, age, and sex, independently and in combination, was analyzed.
The participants included 57,455 (56.4%) males and 44,431 (43.6%) females, with a mean ± SD age of 42.8 ± 15.0 years. The average ± SD FPG level was 5.5 ± 1.1 mmol/L. The monthly variation contributed to 22% of the overall FPG variability. A significant main effect for the age group was observed (F = 7.39, P < 0.05), with an excellent fitting effect (Eta-squared =0.15). The variability of FPG showed sex differences in the percentage difference of the coefficient of variation, which was 34.1% higher in males than females. There were significant interaction effects for monthagesex and dayagesex.
Temporal variability in FPG is evident in the general Chinese population and is affected by both age and sex. To avoid complications associated with FPG variability, interventions should be directed at females and males at specific ages for optimal control of FPG variability and to reduce the risk of diabetes and cardiovascular events.
空腹血糖(FPG)变异性是死亡率的重要预测指标,尤其是在血糖控制不佳的患者中。本研究旨在探讨中国进行常规健康筛查人群中FPG变异性的时间、年龄和性别特异性特征,并为制定预防和控制糖尿病的针对性公共卫生干预措施提供指导。
在这项横断面研究中,我们使用一般线性模型比较了2018年在南京医科大学第一附属医院健康管理中心进行常规身体健康检查的101,886名南京居民中,不同性别和年龄组之间FPG时间值的差异。分析了FPG变异性作为时间、年龄和性别的函数,单独以及组合的情况。
参与者包括57,455名(56.4%)男性和44,431名(43.6%)女性,平均年龄±标准差为42.8±15.0岁。FPG平均水平±标准差为5.5±1.1 mmol/L。每月变化占FPG总体变异性的22%。观察到年龄组有显著的主效应(F = 7.39,P < 0.05),拟合效果良好(Eta平方 = 0.15)。FPG变异性在变异系数的百分比差异上存在性别差异,男性比女性高34.1%。月年龄性别和日年龄性别存在显著的交互效应。
中国普通人群中FPG的时间变异性明显,且受年龄和性别的影响。为避免与FPG变异性相关的并发症,应针对特定年龄的女性和男性进行干预,以实现FPG变异性的最佳控制,并降低糖尿病和心血管事件的风险。