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Activity Accumulation and Cardiometabolic Risk in Youth: A Latent Profile Approach

机译：青年的活动积累和心脏素质风险：潜在的轮廓方法

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Introduction This cross-sectional study aimed to i) identify and characterize youth according to distinct physical activity (PA) and sedentary (SED) accumulation patterns, and ii) investigate associations of these derived patterns with cardiometabolic risk factors. Methods ActiGraph accelerometer data from 7- to 13-yr-olds from two studies were pooled (n= 1219; 843 (69%) with valid accelerometry included in analysis). Time accumulated in >= 5- and >= 10-min SED bouts, >= 1- and >= 5-min bouts of light, and >= 1-min bouts of moderate and vigorous PA was calculated. Frequency of breaks in SED was also obtained. Latent profile analysis was used to identify groups of participants based on their distinct accumulation patterns. Linear and logistic regression models were used to test associations of group accumulation patterns with cardiometabolic risk factors, including adiposity indicators, blood pressure, and lipids. Total PA and SED time were also compared between groups. Results Three distinct groups were identified: "prolonged sitters" had the most time in sustained SED bouts and the least time in vigorous PA bouts; "breakers" had the highest frequency of SED breaks and lowest engagement in sustained bouts across most PA intensities; and "prolonged movers" had the least time accumulated in SED bouts and the most in PA bouts across most intensities. Although breakers engaged in less time in PA bouts compared with other groups, they had the healthiest adiposity indicators. No associations with the remaining cardiometabolic risk factors were found. Conclusion Youth accumulate their daily activity in three distinct patterns (prolonged sitters, breakers, and prolonger movers), with those breaking up sitting and least time in prolonged PA bouts across the day having a lower adiposity risk. No relationships with other cardiometabolic risk factors were identified.
机译：引言此横断面研究旨在I）根据不同的身体活动（PA）和久坐（SED）积累模式，以及II）研究这些衍生模式与心脏异构危险因素的关联的关联。方法汇集了来自两项研究的7至13岁的Actigraph加速度计数据（n = 1219; 843（69％），分析中包含有效的加速度）。累积> = 5-和> = 10-min的时间，> = 1-和> = 5分钟的光，并计算1分钟的中等和剧烈PA的1分钟。还获得了SED中断的频率。潜在的简档分析用于根据其独特的积累模式来识别参与者组。线性和逻辑回归模型用于测试组累积模式与心肌植物危险因素的关联，包括肥胖指标，血压和脂质。在组之间也比较了总PA和SAD时间。结果确定了三个不同的群体：“长时间的沉思”在持续的SED Bouts中有最多的时间和剧烈的PA比赛中的最短时间; “破碎机”的SED频率最高，持续的最低频率在大多数PA强度上持续的持续竞争;和“长时间的搬运工”在SED Bouts中累积的时间最少，并且在大多数强度上的PA比赛中最多。虽然与其他群体相比，PA比赛中的破碎机在PA比较较少，但它们具有最健康的肥胖指标。没有发现与剩余的心细素风险因素没有关联。结论青年以三种不同的图案（延长侦察员，断路器和延长搬运工）积累了他们的日常活动，随着肥胖风险较低的趋于较低的PA比赛，持续坐在坐着和最短的时间。鉴定了与其他心脏造成危险因素的关系。

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