Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, 145 Anam-ro, Seongbuk-gu, Hana Science Building B. Room 358, Seoul, Republic of Korea.
School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, USA.
Int J Behav Nutr Phys Act. 2024 Sep 30;21(1):112. doi: 10.1186/s12966-024-01660-0.
Studies have shown that prolonged television watching increases obesity risk among children. However, few studies examined the associations with other types of screen time, such as computer and smartphone use, using a prospective cohort study design. Further, little is known about the specific non-screen time activity that may yield the most benefits when reallocating screen time to other activities.
We conducted a prospective cohort analysis using 3-year follow-up data from the Korean Children and Youth Panel Survey 2018 (n = 2,023; 4th grade elementary students who were not obese at baseline). Average time spent watching television, using computer and smartphone, and other after-school activities were self-reported at baseline. Weight and height were also self-reported at baseline and follow-up surveys through 2021. We performed multivariable logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between screen time and obesity incidence, adjusting for potential confounders. We also performed isotemporal substitution models to examine the associations of reallocating screen time to other non-screen time activities (physical activity, sleeping, hanging out with friends, reading, studying, and chatting with parents) in an equal time-exchange manner.
Longer combined screen time (≥ 240 vs. <120 m/d) was statistically significantly associated with an increased obesity risk (OR [95% CI] = 1.68 [1.03, 2.73]). The direction of associations with television watching (≥ 180 vs. <60 m/d: OR [95% CI] = 2.86 [1.58, 5.20]), computer use (≥ 120 vs. <60 m/d: 1.38 [0.52, 3.64]), and smartphone use (≥ 180 vs. <60 m/d: 1.42 [0.76, 2.65]) were all positive, although the association was most apparent and statistically significant for television watching only. The associations did not change after additional adjustment for other lifestyle factors, including physical activity, sleep, and breakfast skipping. In the isotemporal substitution models, reallocating 1-hour of screen time to reading (OR [95% CI] = 0.67 [0.48, 0.93]) was associated with a decreased obesity risk. Reallocating 1-hour of screen time to physical activity was only marginally significantly associated with obesity risk (0.79 [0.62, 1.01]).
Our data suggest that more efforts should focus on reducing screen time and increasing time for other non-screen time activities, particularly reading, for obesity prevention in children.
研究表明,长时间看电视会增加儿童肥胖的风险。然而,很少有研究使用前瞻性队列研究设计来检查与其他类型的屏幕时间(如电脑和智能手机使用)的关联。此外,当重新分配屏幕时间用于其他活动时,哪种特定的非屏幕时间活动可能带来最大的益处,目前还知之甚少。
我们使用 2018 年韩国儿童和青年小组调查的 3 年随访数据(n=2023;基线时没有肥胖的四年级小学生)进行了前瞻性队列分析。基线时自我报告看电视、使用电脑和智能手机以及其他课外活动的平均时间。体重和身高也通过 2021 年的基线和随访调查自我报告。我们使用多变量逻辑回归模型来估计屏幕时间与肥胖发生率之间的比值比(OR)和 95%置信区间(CI),并调整了潜在的混杂因素。我们还进行了等时替代模型,以检查以等时间交换的方式将屏幕时间重新分配到其他非屏幕时间活动(体育活动、睡眠、与朋友闲逛、阅读、学习和与父母聊天)时与肥胖风险的关联。
较长的综合屏幕时间(≥240 分钟/天与 <120 分钟/天)与肥胖风险增加呈统计学显著相关(OR [95%CI] = 1.68 [1.03,2.73])。与看电视(≥180 分钟/天与 <60 分钟/天:OR [95%CI] = 2.86 [1.58,5.20])、使用电脑(≥120 分钟/天与 <60 分钟/天:1.38 [0.52,3.64])和使用智能手机(≥180 分钟/天与 <60 分钟/天:1.42 [0.76,2.65])的关联均为正相关,尽管仅与看电视的关联最为明显且具有统计学意义。在进一步调整其他生活方式因素(包括体育活动、睡眠和不吃早餐)后,关联没有改变。在等时替代模型中,将 1 小时的屏幕时间重新分配给阅读(OR [95%CI] = 0.67 [0.48,0.93])与肥胖风险降低相关。将 1 小时的屏幕时间重新分配给体育活动仅与肥胖风险呈边缘显著相关(0.79 [0.62,1.01])。
我们的数据表明,应该更加努力减少屏幕时间并增加其他非屏幕时间活动的时间,特别是阅读时间,以预防儿童肥胖。