School of Physical Education, NanChang University, NanChang, China.
Rehabilitation Medicine Center, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
JMIR Mhealth Uhealth. 2021 Feb 1;9(2):e22601. doi: 10.2196/22601.
About 70% of children and adolescents worldwide do not meet the recommended level of physical activity (PA), which is closely associated with physical, psychological, and cognitive well-being. Nowadays, the use of technologies to change PA is of interest due to the need for novel, more effective intervention approaches. The previous meta-analyses have examined smartphone-based interventions and their impact on PA in adults, but evidence in children and adolescents still needs further research.
This systematic review and meta-analysis aimed to determine the effectiveness of smartphone-based interventions for improving PA in children and adolescents.
Five electronic databases (PubMed, Web of Science, OVID, Scopus, and the China National Knowledge Infrastructure) were searched up to June 29, 2020. Randomized controlled trials with a control group that examine the effect of smartphone interventions on PA among children and adolescents were included. Bias risks were assessed using the Cochrane collaboration tool. Meta-analysis was performed to assess the pooled effect on PA using a random effects model. Subgroup analyses were conducted to examine the potential modifying effects of different factors (eg, types of intervention, intervention duration, age, measurement, study quality).
A total of 9 studies were included in this review, including 4 mobile app interventions, 3 SMS text messaging interventions, and 2 app + SMS text messaging interventions. In general, the risk of bias of included studies was low. Compared with the control group, the use of smartphone intervention significantly improved PA (standardized mean difference [SMD] 0.44, 95% CI 0.11-0.77, P=.009), especially for total PA (TPA; weighted mean difference [WMD] 32.35, 95% CI 10.36-54.33, P=.004) and daily steps (WMD 1185, 95% CI 303-2068, P=.008), but not for moderate-to-vigorous PA (WMD 3.91, 95% CI -1.99 to 9.81, P=.19). High statistical heterogeneity was detected (I=73.9%, P<.001) for PA. Meta-regression showed that duration (β=-.08, 95% CI -0.15 to -0.01, n=16) was a potential factor for high heterogeneity. The results of subgroup analyses indicated that app intervention (SMD 0.76, 95% CI 0.23-1.30, P=.005), children (SMD 0.64, 95% CI 0.10-1.18, P=.02), "≤8 weeks" (SMD 0.76, 95% CI 0.23-1.30, P=.005), objective measurement (SMD 0.50, 95% CI 0.09-0.91, P=.02), and low risk of bias (SMD 0.96, 95% CI 0.38-1.54, P=.001) can significantly improve PA.
The evidence of meta-analysis shows that smartphone-based intervention may be a promising strategy to increase TPA and steps in children and adolescents. Currently, app intervention may be a more effective strategy among smartphone intervention technologies. To extend the promise of smartphone intervention, the future needs to design comparative trials among different smartphone technologies.
PROSPERO CRD42019148261; https://tinyurl.com/y5modsrd.
全球约 70%的儿童和青少年没有达到推荐的身体活动(PA)水平,而身体活动与身心健康和认知健康密切相关。如今,由于需要新的、更有效的干预方法,使用技术来改变身体活动水平引起了人们的兴趣。之前的荟萃分析已经研究了基于智能手机的干预及其对成年人身体活动的影响,但儿童和青少年的证据仍需要进一步研究。
本系统评价和荟萃分析旨在确定基于智能手机的干预措施对提高儿童和青少年身体活动的有效性。
截至 2020 年 6 月 29 日,我们在五个电子数据库(PubMed、Web of Science、OVID、Scopus 和中国国家知识基础设施)中进行了搜索。纳入了随机对照试验,这些试验以对照组为对象,检验了智能手机干预对儿童和青少年身体活动的影响。使用 Cochrane 协作工具评估偏倚风险。使用随机效应模型对 PA 的汇总效应进行荟萃分析。进行了亚组分析,以检验不同因素(例如干预类型、干预持续时间、年龄、测量、研究质量)的潜在调节作用。
本综述共纳入 9 项研究,包括 4 项移动应用程序干预、3 项短信文本消息干预和 2 项应用程序+短信文本消息干预。一般来说,纳入研究的偏倚风险较低。与对照组相比,智能手机干预显著提高了 PA(标准化均数差 [SMD] 0.44,95%CI 0.11-0.77,P=.009),尤其是总身体活动(TPA;加权均数差 [WMD] 32.35,95%CI 10.36-54.33,P=.004)和每日步数(WMD 1185,95%CI 303-2068,P=.008),但对中度至剧烈身体活动(WMD 3.91,95%CI -1.99 至 9.81,P=.19)没有影响。PA 存在高度统计学异质性(I=73.9%,P<.001)。Meta 回归显示,持续时间(β=-.08,95%CI -0.15 至 -0.01,n=16)是高度异质性的一个潜在因素。亚组分析结果表明,应用程序干预(SMD 0.76,95%CI 0.23-1.30,P=.005)、儿童(SMD 0.64,95%CI 0.10-1.18,P=.02)、“≤8 周”(SMD 0.76,95%CI 0.23-1.30,P=.005)、客观测量(SMD 0.50,95%CI 0.09-0.91,P=.02)和低偏倚风险(SMD 0.96,95%CI 0.38-1.54,P=.001)可以显著提高 PA。
荟萃分析的证据表明,基于智能手机的干预可能是增加儿童和青少年 TPA 和步数的一种有前途的策略。目前,应用程序干预可能是智能手机干预技术中更有效的策略。为了扩展智能手机干预的前景,未来需要在不同的智能手机技术之间设计比较试验。
PROSPERO CRD42019148261;https://tinyurl.com/y5modsrd。