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运动期间性别、体重指数、年龄、运动类型和运动持续时间对间质葡萄糖水平的影响。

The Impact of Sex, Body Mass Index, Age, Exercise Type and Exercise Duration on Interstitial Glucose Levels during Exercise.

机构信息

School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, ON M3J 1P3, Canada.

The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.

出版信息

Sensors (Basel). 2023 Nov 9;23(22):9059. doi: 10.3390/s23229059.

Abstract

The impact of age, sex and body mass index on interstitial glucose levels as measured via continuous glucose monitoring (CGM) during exercise in the healthy population is largely unexplored. We conducted a multivariable generalized estimating equation (GEE) analysis on CGM data (Dexcom G6, 10 days) collected from 119 healthy exercising individuals using CGM with the following specified covariates: age; sex; BMI; exercise type and duration. Females had lower postexercise glycemia as compared with males (92 ± 18 vs. 100 ± 20 mg/dL, = 0.04) and a greater change in glycemia during exercise from pre- to postexercise ( = 0.001) or from pre-exercise to glucose nadir during exercise ( = 0.009). Younger individuals (i.e., <20 yrs) had higher glucose during exercise as compared with all other age groups (all < 0.05) and less CGM data in the hypoglycemic range (<70 mg/dL) as compared with those aged 20-39 yrs ( < 0.05). Those who were underweight, based on body mass index (BMI: <18.5 kg/m), had higher pre-exercise glycemia than the healthy BMI group (104 ± 20 vs. 97 ± 17 mg/dL, = 0.02) but similar glucose levels after exercise. Resistance exercise was associated with less of a drop in glycemia as compared with aerobic or mixed forms of exercise ( = 0.008) and resulted in a lower percent of time in the hypoglycemic ( = 0.04) or hyperglycemic (glucose > 140 mg/dL) ( = 0.03) ranges. In summary, various factors such as age, sex and exercise type appear to have subtle but potentially important influence on CGM measurements during exercise in healthy individuals.

摘要

在健康人群中,运动期间通过连续血糖监测(CGM)测量的间质葡萄糖水平受年龄、性别和体重指数(BMI)的影响在很大程度上仍未得到探索。我们对 119 名健康运动个体的 CGM 数据(使用 Dexcom G6,持续 10 天)进行了多变量广义估计方程(GEE)分析,这些数据使用 CGM 并指定了以下协变量:年龄;性别;BMI;运动类型和持续时间。与男性相比,女性运动后血糖较低(92 ± 18 与 100 ± 20 mg/dL, = 0.04),运动过程中血糖变化较大,从运动前到运动后( = 0.001)或从运动前到运动中血糖最低值( = 0.009)。与所有其他年龄组相比,年轻个体(即 <20 岁)运动期间血糖较高(均 < 0.05),与 20-39 岁年龄组相比,CGM 数据在低血糖范围内(<70 mg/dL)较少( < 0.05)。根据 BMI(BMI:<18.5 kg/m),体重不足的人运动前血糖高于健康 BMI 组(104 ± 20 与 97 ± 17 mg/dL, = 0.02),但运动后血糖水平相似。与有氧运动或混合运动形式相比,阻力运动与血糖下降幅度较小有关( = 0.008),导致低血糖( = 0.04)或高血糖(血糖 > 140 mg/dL)( = 0.03)的时间百分比降低。总之,年龄、性别和运动类型等各种因素似乎对健康个体运动期间的 CGM 测量有微妙但可能重要的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d54/10674905/3a5138163e7d/sensors-23-09059-g001.jpg

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