Burns Ryan Donald, Byun Wonwoo, Bai Yang, de Castro Silveira João Francisco, Reuter Cézane Priscila
Department of Health and Kinesiology, University of Utah, Salt Lake City, Utah, USA.
Graduate Program in Health Promotion, University of Santa Cruz do Sul (UNISC), Santa Cruz do Sul, Brazil.
Scand J Med Sci Sports. 2023 Nov;33(11):2286-2298. doi: 10.1111/sms.14448. Epub 2023 Jul 5.
The purpose of this study was to determine the dose-response associations between Monitor-Independent Movement Summary (MIMS) units and health-related fitness in youth. The sample comprised US children and adolescents who participated in the 2012 National Youth Fitness Survey (NNYFS; N = 1158, 48.9% female). Health-related fitness domains were assessed using tests of cardiorespiratory endurance (timed maximal and graded treadmill tests), muscular strength (modified pull-up and grip tests), and muscular endurance (plank test). Movement data were collected using wrist-worn ActiGraph accelerometers with raw data processed using MIMS and the calculated metrics of average MIMS/day, Peak 60-min MIMS, and Peak 30-min MIMS. Weighted regression models examined linear associations between MIMS metrics and fitness test scores. Nonlinear associations were examined using weighted spline models with knots placed at the 10th, 50th, and 90th percentiles. Models were adjusted for covariates and fit was examined using the coefficient of determination (R ). The strongest adjusted linear relationships included a positive association between MIMS/day (per every 1000 units) and maximal endurance times (b = 5.5 s, p < 0.001) and between Peak 60-min MIMS (per every 10 units) and estimated aerobic capacity (b = 1.7 mL/kg/min, p < 0.001), modified pull-ups (b = 0.7 reps, p < 0.001), and plank test scores (b = 5.0 s, p < 0.001). Linear spline models had slightly higher R values (R range = 16.9%-74.8%) compared to linear models (R range = 15.0%-74.5%). The relationship between MIMS metrics and fitness test scores was best modeled as piecewise linear functions. Although all MIMS metrics associated with cardiorespiratory endurance, Peak 60-min MIMS showed stronger associations with tests of muscular strength and endurance.
本研究的目的是确定独立于监测器的运动总结（MIMS）单位与青少年健康相关体能之间的剂量反应关联。样本包括参与2012年全国青少年体能调查（NNYFS；N = 1158，48.9%为女性）的美国儿童和青少年。使用心肺耐力测试（定时最大和分级跑步机测试）、肌肉力量测试（改良引体向上和握力测试）以及肌肉耐力测试（平板支撑测试）来评估与健康相关的体能领域。使用佩戴在手腕上的ActiGraph加速度计收集运动数据，原始数据使用MIMS进行处理，并计算出平均每日MIMS、60分钟峰值MIMS和30分钟峰值MIMS等指标。加权回归模型检验了MIMS指标与体能测试分数之间的线性关联。使用加权样条模型检验非线性关联，节点设置在第10、50和90百分位数处。模型针对协变量进行了调整，并使用决定系数（R²）来检验拟合情况。最强的调整后线性关系包括每日MIMS（每1000个单位）与最大耐力时间之间的正相关（b = 5.5秒，p < 0.001），以及60分钟峰值MIMS（每10个单位）与估计的有氧能力之间的正相关（b = 1.7毫升/千克/分钟，p < 0.001）、改良引体向上（b = 0.7次重复，p < 0.001）和平板支撑测试分数（b = 5.0秒，p < 0.001）。与线性模型（R²范围 = 15.0% - 74.5%）相比，线性样条模型的R²值略高（R²范围 = 16.9% - 74.8%）。MIMS指标与体能测试分数之间的关系最好用分段线性函数来建模。尽管所有MIMS指标都与心肺耐力相关，但60分钟峰值MIMS与肌肉力量和耐力测试的关联更强。
