Association of Physical Activity and Screen Time With Body Mass Index Among US Adolescents.
Association of Physical Activity and Screen Time With Body Mass Index Among US Adolescents.
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DOI：
10.1001/jamanetworkopen.2022.55466
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发表时间：
2023-02-01
影响因子：
13.8
通讯作者：
Gabriel, Kelley Pettee
中科院分区：
文献类型：
--
作者：
Nagata, Jason M.;Smith, Natalia;Alsamman, Sana;Lee, Christopher M.;Dooley, Erin E.;Kiss, Orsolya;Ganson, Kyle T.;Wing, David;Baker, Fiona C.;Gabriel, Kelley Pettee
青少年身体活动和屏幕时间类别与体重指数以及超重和肥胖之间的关联和相互作用是什么？在这项针对 5797 名 10 至 14 岁美国青少年的横断面研究中，高屏幕时间（每天几小时）和低体力活动（每天步数）与超重和肥胖相关。这些发现表明，高步数可能无法抵消屏幕时间长的青少年的超重和肥胖风险，而屏幕时间短可能无法抵消步数少的青少年的超重和肥胖风险。身体活动指南咨询委员会科学报告确定了重要的研究空白，为青少年的未来指导提供信息，包括关于久坐行为（屏幕时间）的重要性及其与身体活动对青少年健康结果（包括超重和肥胖）的相互作用的有限证据。确定体力活动和屏幕时间类别之间的独立关联，以及体力活动和屏幕时间类别与青少年体重指数 (BMI) 和超重和肥胖之间的相互作用。这项横断面研究使用了 2018 年 9 月 10 日至 2020 年 9 月 29 日收集的青少年大脑认知发展 (ABCD) 研究的数据。数据分析时间为 2022 年 7 月 8 日至 12 月 20 日。分析中纳入了来自美国 21 个种族和民族多元化研究地点的 5797 名 10 至 14 岁青少年。通过可穿戴数字设备 (Fitbit) 测量的每日总步数类别（每天 1000 至 6000 步表示低，每天 >6000 至 12 000 步表示中，每天 >12 000 步表示高），以及每天自我报告的屏幕时间小时数类别（每天 0 至 4 小时表示低，每天 >4 至 8 小时表示中，每天 > 8 小时表示高）。参与者的 BMI 计算为体重（公斤）除以身高（米）的平方，并根据疾病控制和预防中心的生长曲线和定义转换为特定性别和年龄的百分位数。如果个人的 BMI 处于性别和年龄的第 85 个百分位或更高，则被归类为超重或肥胖。在分析样本中包含的 5797 名青少年中，50.4% 是男性，61.0% 是白人，35.0% 超重或肥胖，平均 (SD) 年龄为 12.0 (0.6) 岁。平均 (SD) 报告的屏幕使用时间为每天 6.5 (5.4) 小时，平均 (SD) 总步数为每天 9246.6 (3111.3) 步。在包括屏幕时间和步数的模型中，与低屏幕时间类别相比，中（风险比 [RR]，1.24；95% CI，1.12-1.37）和高（RR，1.29；95% CI，1.16-1.44）屏幕时间类别与较高的超重或肥胖风险相关。与高步数类别相比，中（RR，1.19；95% CI，1.06-1.35）和低（RR，1.30；95% CI，1.11-1.51）步数类别与较高的超重或肥胖风险相关。观察到屏幕时间和步数之间对 BMI 百分位的影响变化的证据。例如，在屏幕使用率较低的青少年中，中等步数与 BMI 百分位数较高 1.55 相关，而步数较少与 BMI 百分位数较高 7.48 相关。然而，在屏幕使用率较高的人群中，步数类别并没有显着改变与较高 BMI 百分位数的关联（低步数：BMI 较高百分位数为 8.79；中等步数：BMI 较高百分位数为 8.76；高步数：BMI 较高百分位数为 8.26）。在这项横断面研究中，低屏幕时间和高步数的结合与青少年较低的 BMI 百分位相关。这些结果表明，高步数可能无法抵消屏幕时间长的青少年较高的超重或肥胖风险，而屏幕时间短可能无法抵消步数少的青少年较高的超重或肥胖风险。这些发现解决了体育活动指南咨询委员会科学报告中确定的几个研究空白，并可用于为青少年未来的屏幕时间和体育活动指导提供信息。这项横断面研究使用青少年大脑认知发展研究的数据来评估美国青少年身体活动和屏幕时间与超重或肥胖的关系。
What are the associations and interactions of physical activity and screen time categories with body mass index and overweight and obesity among adolescents? In this cross-sectional study of 5797 US adolescents aged 10 to 14 years, a combination of high screen time (hours per day) and low physical activity (step count per day) was associated with overweight and obesity. These findings suggest that high step count may not offset overweight and obesity risk for adolescents with high screen time and that low screen time may not offset overweight and obesity risk for adolescents with low step count. The Physical Activity Guidelines Advisory Committee Scientific Report identified important research gaps to inform future guidance for adolescents, including limited evidence on the importance of sedentary behaviors (screen time) and their interactions with physical activity for adolescent health outcomes, including overweight and obesity. To identify the independent associations of physical activity and screen time categories, and the interactions between physical activity and screen time categories, with body mass index (BMI) and overweight and obesity in adolescents. This cross-sectional study used data from the Adolescent Brain Cognitive Development (ABCD) Study collected from September 10, 2018, to September 29, 2020. Data were analyzed from July 8 to December 20, 2022. A total of 5797 adolescents aged 10 to 14 years from 21 racially and ethnically diverse study sites across the US were included in the analysis. Categories of total step count per day (with 1000 to 6000 steps per day indicating low, >6000 to 12 000 steps per day indicating medium, and >12 000 steps per day indicating high), as measured by a wearable digital device (Fitbit), and categories of self-reported screen time hours per day (with 0 to 4 hours per day indicating low, >4 to 8 hours per day indicating medium, and >8 hours per day indicating high). Participant BMI was calculated as weight in kilograms divided by height in meters squared and converted into sex- and age-specific percentiles in accordance with the Centers for Disease Control and Prevention growth curves and definitions. Individuals were classified as having overweight or obesity if their BMI was in the 85th percentile or higher for sex and age. Among 5797 adolescents included in the analytic sample, 50.4% were male, 61.0% were White, 35.0% had overweight or obesity, and the mean (SD) age was 12.0 (0.6) years. Mean (SD) reported screen time use was 6.5 (5.4) hours per day, and mean (SD) overall step count was 9246.6 (3111.3) steps per day. In models including both screen time and step count, medium (risk ratio [RR], 1.24; 95% CI, 1.12-1.37) and high (RR, 1.29; 95% CI, 1.16-1.44) screen time categories were associated with higher overweight or obesity risk compared with the low screen time category. Medium (RR, 1.19; 95% CI, 1.06-1.35) and low (RR, 1.30; 95% CI, 1.11-1.51) step count categories were associated with higher overweight or obesity risk compared with the high step count category. Evidence of effect modification between screen time and step count was observed for BMI percentile. For instance, among adolescents with low screen use, medium step count was associated with a 1.55 higher BMI percentile, and low step count was associated with a 7.48 higher BMI percentile. However, among those with high screen use, step count categories did not significantly change the association with higher BMI percentile (low step count: 8.79 higher BMI percentile; medium step count: 8.76 higher BMI percentile; high step count: 8.26 higher BMI percentile). In this cross-sectional study, a combination of low screen time and high step count was associated with lower BMI percentile in adolescents. These results suggest that high step count may not offset higher overweight or obesity risk for adolescents with high screen time, and low screen time may not offset higher overweight or obesity risk for adolescents with low step count. These findings addressed several research gaps identified by the Physical Activity Guidelines Advisory Committee Scientific Report and may be used to inform future screen time and physical activity guidance for adolescents. This cross-sectional study uses data from the Adolescent Brain Cognitive Development Study to assess the association of physical activity and screen time with overweight or obesity among adolescents in the US.
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影响因子：
2.8
作者：
Nagata JM;Cortez CA;Dooley EE;Iyer P;Ganson KT;Pettee Gabriel K
通讯作者：
Pettee Gabriel K
影响因子：
4.7
作者：
Bagot, K. S.;Tomko, R. L.;Marshall, A. T.;Hermann, J.;Cummins, K.;Ksinan, A.;Kakalis, M.;Breslin, F.;Lisdahl, K. M.;Mason, M.;Redhead, J. N.;Squeglia, L. M.;Thompson, W. K.;Wade, T.;Tapert, S. F.;Fuemmeler, B. F.;Baker, F. C.
通讯作者：
Baker, F. C.
影响因子：
4.7
作者：
Bagot KS;Matthews SA;Mason M;Squeglia LM;Fowler J;Gray K;Herting M;May A;Colrain I;Godino J;Tapert S;Brown S;Patrick K
通讯作者：
Patrick K
DOI：
10.1249/mss.0b013e31823f23b1
发表时间：
2012-05-01
期刊：
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子：
--
作者：
Colley, Rachel C.;Janssen, Ian;Tremblay, Mark S.
通讯作者：
Tremblay, Mark S.
影响因子：
2.8
作者：
Nevill, AM;Stewart, AD;Holder, R
通讯作者：
Holder, R