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传感器衍生的身体行为与代谢健康的关联:记录多传感器研究中的成分分析。

Associations of Sensor-Derived Physical Behavior with Metabolic Health: A Compositional Analysis in the Record Multisensor Study.

机构信息

Institut Pluridisciplinaire Hubert Curien (IPHC), UMR 7178 Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg, 67000 Strasbourg, France.

Division of Endocrinology, Metabolism, and Diabetes and Anschutz Health and Wellness Center, School of Medicine, University of Colorado, Aurora, CO 80045, USA.

出版信息

Int J Environ Res Public Health. 2019 Mar 1;16(5):741. doi: 10.3390/ijerph16050741.

DOI:10.3390/ijerph16050741
PMID:30823668
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6427620/
Abstract

Previous studies about the effects of physical activity and sedentary behaviors on health rarely recorded the exact body postures and movements, although they might be of metabolic relevance. Moreover, few studies treated the time budget of behaviors as compositions and little was done to characterize the distribution of durations of behavior sequences in relation with health. Data from the RECORD (Residential Environment and CORonary heart Disease) study of two combined VitaMove accelerometers worn at the trunk and upper leg for a week by 154 male and female adults (age = 50.6 ± 9.6 years, BMI = 25.8 ± 3.9 kg/m²) were analyzed. Using both iso-temporal substitution and compositional analysis, we examined associations between five physical behaviors (lying, sitting, standing, low physical activity, moderate-to-vigorous activity) and seven health outcomes (fasting serum glucose, low- and high-density lipoprotein, and triglycerides levels, body mass index, and waist circumference). After adjustment for confounding variables, total standing time was positively associated with better lipid profile, and lying during the day with adiposity. No significant association was observed between breaking up moderate-to-vigorous physical activity and health. This study highlights the importance of refined categories of postures in research on physical activity and health, as well as the necessity for new tools to characterize the distribution of behavior sequence durations, considering both bouts and micro-sequences.

摘要

先前关于体力活动和久坐行为对健康影响的研究很少记录确切的身体姿势和动作,尽管这些姿势和动作可能与代谢有关。此外,很少有研究将行为的时间预算视为组成部分,也很少有研究对行为序列持续时间的分布与健康的关系进行特征描述。这项研究的数据来自 RECORD(居住环境与冠心病)研究,该研究使用两个 VitaMove 加速度计,一周内由 154 名男性和女性成年人(年龄=50.6±9.6 岁,BMI=25.8±3.9kg/m²)分别佩戴在躯干和大腿上。通过同时使用等时替代法和组合分析法,我们研究了五种身体行为(躺、坐、站、低强度体力活动、中高强度体力活动)与七种健康结果(空腹血清葡萄糖、低密脂蛋白和高密脂蛋白、甘油三酯水平、体重指数和腰围)之间的关联。在调整了混杂变量后,总站立时间与更好的血脂谱呈正相关,白天躺着与肥胖有关。打破中高强度体力活动与健康之间没有显著关联。这项研究强调了在体力活动与健康研究中精细分类姿势的重要性,以及需要新的工具来描述行为序列持续时间的分布,同时考虑到爆发和微序列。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32cf/6427620/1a3ccce320be/ijerph-16-00741-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32cf/6427620/410573ec839a/ijerph-16-00741-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32cf/6427620/1a3ccce320be/ijerph-16-00741-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32cf/6427620/410573ec839a/ijerph-16-00741-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32cf/6427620/1a3ccce320be/ijerph-16-00741-g002.jpg

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本文引用的文献

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Int J Environ Res Public Health. 2018 Oct 17;15(10):2280. doi: 10.3390/ijerph15102280.
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Compositional associations of time spent in sleep, sedentary behavior and physical activity with obesity measures in children.儿童睡眠时间、久坐行为和身体活动与肥胖指标的构成关联。
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Short-term association between personal exposure to noise and heart rate variability: The RECORD MultiSensor Study.
静坐行为、身体活动与 2 型糖尿病标志物之间的关联:混合分析方法的系统评价。
PLoS One. 2022 May 11;17(5):e0268289. doi: 10.1371/journal.pone.0268289. eCollection 2022.
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Both sedentary time and physical activity are associated with cardiometabolic health in overweight adults in a 1 month accelerometer measurement.在为期 1 个月的加速度计测量中,超重成年人的久坐时间和身体活动均与心血管代谢健康有关。
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Standardised criteria for classifying the International Classification of Activities for Time-use Statistics (ICATUS) activity groups into sleep, sedentary behaviour, and physical activity.将国际活动时间分类标准(ICATUS)活动组归类为睡眠、久坐行为和身体活动的标准化标准。
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