Department of Pediatrics, University of California, San Francisco, San Francisco.
Department of Epidemiology, University of Alabama at Birmingham, Birmingham.
JAMA Netw Open. 2023 Feb 1;6(2):e2255466. doi: 10.1001/jamanetworkopen.2022.55466.
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.
DESIGN, SETTING, AND PARTICIPANTS: 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.
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,以告知青少年未来的指导方针,包括关于久坐行为(屏幕时间)及其对青少年健康结果(包括超重和肥胖)的重要性的有限证据,包括超重和肥胖。
确定身体活动和屏幕时间类别的独立关联,以及身体活动和屏幕时间类别的相互作用与青少年的体重指数 (BMI) 和超重及肥胖之间的关系。
设计、地点和参与者:这项横断面研究使用了 2018 年 9 月 10 日至 2020 年 9 月 29 日从美国 21 个种族和民族多样化的研究地点收集的青少年大脑认知发展 (ABCD) 研究的数据。数据分析于 2022 年 7 月 8 日至 12 月 20 日进行。共有 5797 名年龄在 10 至 14 岁的青少年参与了分析,他们来自美国 21 个种族和民族多样化的研究地点。
每天总步数的类别(每天 1000 至 6000 步表示低,每天 6000 至 12000 步表示中,每天 12000 步以上表示高),通过可穿戴数字设备(Fitbit)测量,以及每天自我报告的屏幕时间小时的类别(每天 0 至 4 小时表示低,每天 4 至 8 小时表示中,每天 8 小时以上表示高)。
参与者的 BMI 计算为体重(千克)除以身高(米)的平方,并按照疾病控制与预防中心的生长曲线和定义转换为性别和年龄特定的百分位数。如果 BMI 处于性别和年龄的第 85 百分位或更高,则个体被归类为超重或肥胖。
在纳入分析样本的 5797 名青少年中,50.4%为男性,61.0%为白人,35.0%超重或肥胖,平均(标准差)年龄为 12.0(0.6)岁。报告的平均(标准差)屏幕时间使用量为 6.5(5.4)小时/天,平均(标准差)总步数为 9246.6(3111.3)步/天。在包括屏幕时间和步数的模型中,中(风险比 [RR],1.24;95%置信区间 [CI],1.12-1.37)和高(RR,1.29;95%CI,1.16-1.44)屏幕时间类别与更高的超重或肥胖风险相关与低屏幕时间类别相比。中(RR,1.19;95%CI,1.06-1.35)和低(RR,1.30;95%CI,1.11-1.51)步计数类别与高步计数类别相比,超重或肥胖的风险更高。观察到屏幕时间和步计数之间存在效应修饰的证据。例如,在屏幕使用量低的青少年中,中等步计数与 BMI 百分位增加 1.55 相关,而低步计数与 BMI 百分位增加 7.48 相关。然而,在那些屏幕使用量高的青少年中,步计数类别并没有显著改变与更高 BMI 百分位的关联(低步计数:BMI 百分位高 8.79;中步计数:BMI 百分位高 8.76;高步计数:BMI 百分位高 8.26)。
在这项横断面研究中,低屏幕时间和高步计数的组合与青少年的 BMI 百分位较低相关。这些结果表明,高步计数可能无法抵消高屏幕时间青少年超重或肥胖风险的增加,而低屏幕时间可能无法抵消低步计数青少年超重或肥胖风险的增加。这些发现解决了身体活动指南咨询委员会科学报告确定的几个研究空白,并可用于为青少年的屏幕时间和身体活动指导提供信息。