Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia.
Supersapiens Inc., Atlanta, GA 30318, USA.
Sensors (Basel). 2024 Jan 24;24(3):744. doi: 10.3390/s24030744.
The use of continuous glucose monitors (CGMs) in individuals living without diabetes is increasing. The purpose of this study was to profile various CGM metrics around nutritional intake, sleep and exercise in a large cohort of physically active men and women living without any known metabolic disease diagnosis to better understand the normative glycemic response to these common stimuli. A total of 12,504 physically active adults (age 40 ± 11 years, BMI 23.8 ± 3.6 kg/m; 23% self-identified as women) wore a real-time CGM (Abbott Libre Sense Sport Glucose Biosensor, Abbott, USA) and used a smartphone application (Supersapiens Inc., Atlanta, GA, USA) to log meals, sleep and exercise activities. A total of >1 M exercise events and 274,344 meal events were analyzed. A majority of participants (85%) presented an overall (24 h) average glucose profile between 90 and 110 mg/dL, with the highest glucose levels associated with meals and exercise and the lowest glucose levels associated with sleep. Men had higher mean 24 h glucose levels than women (24 h-men: 100 ± 11 mg/dL, women: 96 ± 10 mg/dL). During exercise, the % time above >140 mg/dL was 10.3 ± 16.7%, while the % time <70 mg/dL was 11.9 ± 11.6%, with the remaining % within the so-called glycemic tight target range (70-140 mg/dL). Average glycemia was also lower for females during exercise and sleep events ( < 0.001). Overall, we see small differences in glucose trends during activity and sleep in females as compared to males and higher levels of both TAR and TBR when these active individuals are undertaking or competing in endurance exercise training and/or competitive events.
在没有糖尿病的个体中,连续血糖监测仪(CGM)的使用正在增加。本研究的目的是在一个没有任何已知代谢疾病诊断的身体活跃的男性和女性的大队列中,描述与营养摄入、睡眠和运动相关的各种 CGM 指标,以更好地了解这些常见刺激因素对正常血糖的反应。共有 12504 名身体活跃的成年人(年龄 40 ± 11 岁,BMI 23.8 ± 3.6 kg/m;23%自我认定为女性)佩戴实时 CGM(雅培 Libre Sense 运动血糖生物传感器,雅培,美国)并使用智能手机应用程序(Supersapiens Inc.,亚特兰大,GA,美国)记录膳食、睡眠和运动活动。共分析了>100 万次运动事件和 274344 次膳食事件。大多数参与者(85%)的 24 小时平均血糖谱在 90-110mg/dL 之间,最高血糖水平与膳食和运动有关,最低血糖水平与睡眠有关。男性的 24 小时平均血糖水平高于女性(24 小时男性:100 ± 11mg/dL,女性:96 ± 10mg/dL)。在运动期间,血糖>140mg/dL 的时间百分比为 10.3 ± 16.7%,而血糖<70mg/dL 的时间百分比为 11.9 ± 11.6%,其余时间处于所谓的血糖严格目标范围(70-140mg/dL)内。在运动和睡眠期间,女性的平均血糖水平也较低(<0.001)。总的来说,与男性相比,女性在活动和睡眠期间的血糖趋势差异较小,而在进行耐力运动训练和/或竞技活动时,TAR 和 TBR 水平更高。