Media use trajectories and risk of metabolic syndrome in European children and adolescents: the IDEFICS/I.Family cohort.

IF 5.5
Elida Sina, Christoph Buck, Toomas Veidebaum, Alfonso Siani, Lucia Reisch, Hermann Pohlabeln, Valeria Pala, Luis A Moreno, Dénes Molnar, Lauren Lissner, Yiannis Kourides, Stefaan De Henauw, Gabriele Eiben, Wolfgang Ahrens, Antje Hebestreit
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引用次数: 5

Abstract

Background: Media use may influence metabolic syndrome (MetS) in children. Yet, longitudinal studies are scarce. This study aims to evaluate the longitudinal association of childhood digital media (DM) use trajectories with MetS and its components.

Methods: Children from Belgium, Cyprus, Estonia, Germany, Hungary, Italy, Spain and Sweden participating in the IDEFICS/I.Family cohort were examined at baseline (W1: 2007/2008) and then followed-up at two examination waves (W2: 2009/2010 and W3: 2013/2014). DM use (hours/day) was calculated as sum of television viewing, computer/game console and internet use. MetS z-score was calculated as sum of age- and sex-specific z-scores of four components: waist circumference, blood pressure, dyslipidemia (mean of triglycerides and HDL-cholesterol-1) and homeostasis model assessment for insulin resistance (HOMA-IR). Unfavorable monitoring levels of MetS and its components were identified (cut-off: ≥ 90th percentile of each score). Children aged 2-16 years with ≥ 2 observations (W1/W2; W1/W3; W2/W3; W1/W2/W3) were eligible for the analysis. A two-step procedure was conducted: first, individual age-dependent DM trajectories were calculated using linear mixed regressions based on random intercept (hours/day) and linear slopes (hours/day/year) and used as exposure measures in association with MetS at a second step. Trajectories were further dichotomized if children increased their DM duration over time above or below the mean.

Results: 10,359 children and adolescents (20,075 total observations, 50.3% females, mean age = 7.9, SD = 2.7) were included. DM exposure increased as children grew older (from 2.2 h/day at 2 years to 4.2 h/day at 16 years). Estonian children showed the steepest DM increase; Spanish children the lowest. The prevalence of MetS at last follow-up was 5.5%. Increasing media use trajectories were positively associated with z-scores of MetS (slope: β = 0.54, 95%CI = 0.20-0.88; intercept: β = 0.07, 95%CI = 0.02-0.13), and its components after adjustment for puberty, diet and other confounders. Children with increasing DM trajectories above mean had a 30% higher risk of developing MetS (slope: OR = 1.30, 95%CI = 1.04-1.62). Boys developed steeper DM use trajectories and higher risk for MetS compared to girls.

Conclusions: Digital media use appears to be a risk factor for the development of MetS in children and adolescents. These results are of utmost importance for pediatricians and the development of health policies to prevent cardio-metabolic disorders later in life.

Trial registration: ISRCTN, ISRCTN62310987 . Registered 23 February 2018- retrospectively registered.

Abstract Image

Abstract Image

欧洲儿童和青少年代谢综合征的媒体使用轨迹和风险:IDEFICS/I。家庭组。
背景:媒体使用可能影响儿童代谢综合征(MetS)。然而,纵向研究很少。本研究旨在评估儿童数位媒体(DM)使用轨迹与MetS及其组成部分的纵向关联。方法:来自比利时、塞浦路斯、爱沙尼亚、德国、匈牙利、意大利、西班牙和瑞典参加IDEFICS/I的儿童。在基线(W1: 2007/2008)对家庭队列进行检查,然后在两个检查波(W2: 2009/2010和W3: 2013/2014)进行随访。DM使用(小时/天)计算为电视观看、电脑/游戏机和互联网使用的总和。MetS z-score计算为四个组成部分的年龄和性别特异性z-score的和:腰围,血压,血脂异常(甘油三酯和高密度脂蛋白胆固醇-1的平均值)和胰岛素抵抗的稳态模型评估(HOMA-IR)。确定了MetS及其组成部分的不利监测水平(截止值:≥每个评分的90个百分位数)。2-16岁儿童≥2次观察(W1/W2;W1 / W3;W2 / W3;W1/W2/W3)符合分析条件。进行了两步程序:首先,使用基于随机截距(小时/天)和线性斜率(小时/天/年)的线性混合回归计算个体年龄相关的DM轨迹,并将其作为第二步与MetS相关的暴露度量。如果儿童的糖尿病持续时间高于或低于平均值,则进一步将其轨迹一分为二。结果:纳入10,359例儿童和青少年(共20,075例,女性50.3%,平均年龄= 7.9,SD = 2.7)。随着儿童年龄的增长,DM暴露增加(从2岁时的2.2小时/天增加到16岁时的4.2小时/天)。爱沙尼亚儿童DM增加幅度最大;西班牙儿童最低。最后一次随访时met的患病率为5.5%。媒体使用轨迹的增加与MetS的z-评分呈正相关(斜率:β = 0.54, 95%CI = 0.20-0.88;截距:β = 0.07, 95%CI = 0.02-0.13),以及调整青春期、饮食和其他混杂因素后的成分。DM轨迹高于平均值的儿童发生met的风险增加30%(斜率:OR = 1.30, 95%CI = 1.04-1.62)。与女孩相比,男孩的DM使用轨迹更陡峭,患met的风险更高。结论:数字媒体的使用似乎是儿童和青少年met发展的一个危险因素。这些结果对儿科医生和卫生政策的发展至关重要,以预防生命后期的心脏代谢紊乱。试验注册号:ISRCTN, ISRCTN62310987。注册于2018年2月23日-追溯注册。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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