Backes Anne, Aguayo Gloria A, Collings Paul J, El Fatouhi Douae, Fagherazzi Guy, Malisoux Laurent
Physical Activity, Sport and Health Research Group, Department of Precision Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, L-1445, Strassen, Luxembourg.
Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Sports Med Open. 2022 Dec 12;8(1):146. doi: 10.1186/s40798-022-00541-9.
Parameters derived from an acceleration signal, such as the time accumulated in sedentary behaviour or moderate to vigorous physical activity (MVPA), may not be sufficient to describe physical activity (PA) which is a complex behaviour. Incorporating more advanced wearable-specific indicators of PA behaviour (WIPAB) may be useful when characterising PA profiles and investigating associations with health. We investigated the associations of novel objective measures of PA behaviour with glycated haemoglobin (HbA1c) and insulin sensitivity (Quicki index).
This observational study included 1026 adults (55% women) aged 18-79y who were recruited from the general population in Luxembourg. Participants provided ≥ 4 valid days of triaxial accelerometry data which was used to derive WIPAB variables related to the activity intensity, accumulation pattern and the temporal correlation and regularity of the acceleration time series.
Adjusted general linear models showed that more time spent in MVPA and a higher average acceleration were both associated with a higher insulin sensitivity. More time accumulated in sedentary behaviour was associated with lower insulin sensitivity. With regard to WIPAB variables, parameters that were indicative of higher PA intensity, including a shallower intensity gradient and higher average accelerations registered during the most active 8 h and 15 min of the day, were associated with higher insulin sensitivity. Results for the power law exponent alpha, and the proportion of daily time accumulated in sedentary bouts > 60 min, indicated that activity which was characterised by long sedentary bouts was associated with lower insulin sensitivity. A greater proportion of time spent in MVPA bouts > 10 min was associated with higher insulin sensitivity. A higher scaling exponent alpha at small time scales (< 90 min), which shows greater correlation in the acceleration time series over short durations, was associated with higher insulin sensitivity. When measured over the entirety of the time series, metrics that reflected a more complex, irregular and unpredictable activity profile, such as the sample entropy, were associated with lower HbA1c levels and higher insulin sensitivity.
Our investigation of novel WIPAB variables shows that parameters related to activity intensity, accumulation pattern, temporal correlation and regularity are associated with insulin sensitivity in an adult general population.
从加速度信号得出的参数，如久坐行为或中度至剧烈身体活动（MVPA）所累积的时间，可能不足以描述身体活动（PA）这种复杂行为。纳入更先进的特定于可穿戴设备的身体活动行为指标（WIPAB），在描述身体活动概况和研究与健康的关联时可能会有所帮助。我们研究了身体活动行为的新型客观测量指标与糖化血红蛋白（HbA1c）和胰岛素敏感性（Quicki指数）之间的关联。
这项观察性研究纳入了1026名年龄在18 - 79岁的成年人（55%为女性），他们是从卢森堡的普通人群中招募的。参与者提供了≥4个有效日的三轴加速度计数据，这些数据用于得出与活动强度、累积模式以及加速度时间序列的时间相关性和规律性相关的WIPAB变量。
调整后的一般线性模型显示，在MVPA中花费更多时间以及更高的平均加速度均与更高的胰岛素敏感性相关。久坐行为累积的时间更多与更低的胰岛素敏感性相关。关于WIPAB变量，指示更高身体活动强度的参数，包括更浅的强度梯度以及在一天中最活跃的8小时和15分钟内记录到的更高平均加速度，与更高的胰岛素敏感性相关。幂律指数α以及久坐时长>60分钟的每日累积时间比例的结果表明，以长时间久坐为特征的活动与更低的胰岛素敏感性相关。在MVPA时长大于10分钟的活动中花费的时间比例更高与更高的胰岛素敏感性相关。在小时间尺度（<90分钟）上更高的标度指数α，表明在短时间内加速度时间序列具有更强的相关性，与更高的胰岛素敏感性相关。当在整个时间序列上进行测量时，反映更复杂、不规则和不可预测活动概况的指标，如样本熵，与更低的HbA1c水平和更高的胰岛素敏感性相关。
我们对新型WIPAB变量的研究表明，与活动强度、累积模式、时间相关性和规律性相关的参数与成年普通人群的胰岛素敏感性相关。
