身体活动与血糖变异性之间的横断面和个体关系。

IF 1.1 Q3 SPORT SCIENCES
Joshua R Sparks, Mark A Sarzynski, J Mark Davis, Peter W Grandjean, Xuewen Wang
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引用次数: 2

摘要

简介/目的:超重或肥胖的成年人久坐的时间更多,进行体育活动的时间更少,血糖健康受损的风险增加。除了临床评估外,自由的生活环境还可以提供对血糖健康的深入了解。本研究的目的是通过连续血糖监测(CGM)评估PA与血糖健康之间的关系。方法:28名超重或肥胖成年人在相同的连续7天内分别佩戴加速度计和CGM。计算平均每日时间(分钟和代谢当量分钟(MET分钟))和相关的轻度(LPA)、中度至剧烈(MVPA)、总PA和标准差(SD)。评估每日24小时和清醒时的平均血糖、平均血糖浓度、作为连续重叠净血糖作用测量的血糖变异性、血糖偏移的平均幅度和每日差异的平均值。结果:高血糖患者每天LPA-MET分钟数与24小时及清醒血糖时间呈正相关,与24小时和清醒血糖时间呈负相关。总PA时间、MVPA的SD和总PA时间与24小时平均葡萄糖浓度呈负相关。个体水平分析发现,大多数参与者(50%-71%)表达了LPA和MVPA时间与24小时平均葡萄糖浓度、血糖漂移的平均幅度和4小时连续重叠的净血糖作用之间的负相关。结论:不出所料,较大的总PA时间和强度特异性PA时间与较低的24小时和清醒平均葡萄糖浓度、较大的范围内血糖时间和较少的高血糖时间有关。葡萄糖浓度和PA时间SD之间的关系是出乎意料的,而大多数参与者表达了假设的关系,这需要进一步探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Cross-Sectional and Individual Relationships between Physical Activity and Glycemic Variability.

Cross-Sectional and Individual Relationships between Physical Activity and Glycemic Variability.

Introduction/purpose: Overweight or obese adults spend more time sedentary and less time performing physical activity (PA) and are at an increased risk for developing impaired glycemic health. Free-living environments may provide insight into glycemic health in addition to clinical assessments. The purpose of this study was to examine the relationship between PA and glycemic health assessed by continuous glucose monitoring (CGM).

Methods: Twenty-eight overweight or obese adults each wore an accelerometer and CGM over the same 7 consecutive days. Average daily time (minutes and metabolic-equivalent minutes (MET-minutes)) and associated energy expenditure performing light (LPA), moderate-to-vigorous (MVPA), total PA, and standard deviation (SD) across days were calculated. Average daily 24-h and waking glycemia, mean glucose concentration, glycemic variability measured as the continuous overlapping net glycemic action, mean amplitude of glycemic excursions, and mean of daily difference were assessed.

Results: LPA MET-minutes per day was positively associated with 24-h and waking glycemia time-in-range and negatively associated with 24-h and waking time in hyperglycemia. Total PA time and the SD of MVPA and total PA time were negatively associated with 24-h mean glucose concentration. Individual-level analysis identified that most participants (50%-71%) expressed negative associations between LPA and MVPA time with 24-h mean glucose concentration, mean amplitude of glycemic excursion, and 4-h continuous overlapping net glycemic action.

Conclusions: Expectedly, greater total PA time and intensity-specific PA time were associated with lower 24-h and waking mean glucose concentration, greater glycemia time-in-range, and less time in hyperglycemia. The relationship between glucose concentrations and PA time SD was unexpected, whereas most participants expressed hypothesized relationships, which necessitates further exploration.

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