Peng Zhou, Wen Li Ming, Lau Patrick W C
Department of Sports and Health Sciences, Academy of Wellness and Human Development, Hong Kong Baptist University, Hong Kong, China (Hong Kong).
School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
J Med Internet Res. 2025 Sep 2;27:e70886. doi: 10.2196/70886.
The prevalence of physical inactivity, unhealthy diet, and sleep disturbance among preschoolers is increasing dramatically. Parents play a crucial role in fostering their children's physical activity (PA), dietary behaviors, and sleep habits. Face-to-face interventions have barriers such as time commitment, making eHealth options appealing. However, current parent-based eHealth interventions have limitations in design (eg, focus on a single outcome, imbalanced content, and sequence), and their results cannot be generalized to other regions.
This study aims to assess the effectiveness of parent-based eHealth interventions targeting PA, dietary behaviors, and sleep in preschoolers in China.
This single-blinded randomized controlled trial with 2 parallel arms comprised a 12-week intervention followed by a 12-week follow-up, conducted from September 2023 to June 2024 in China. The intervention, grounded in social cognitive theory, included 12 interactive modules on PA (n=4), dietary behaviors (n=4), and sleep (n=4), each delivered weekly via social media. Each module consisted of videos, evidence-based information, parent interaction, goal setting, and feedback. The control group received a weekly electronic pamphlet via WeChat without interactive components. Preschoolers' PA, sleep duration, and sleep quality were assessed using the wGT3X-BT ActiGraph, while dietary behaviors, sleep problems, and screen time were reported by parents through paper-based questionnaires. Generalized estimating equations, adjusting for demographic covariates, were used to examine the effects of the parent-based eHealth intervention on preschoolers' outcomes.
A total of 237 eligible parent-child dyads were randomly assigned to the intervention group (n=120, mean age 4.51 years, SD 0.72 years; n=67, 55.8%, boys) or the control group (n=117, mean age 4.31 years, SD 0.70 years; n=69, 59%, boys). At baseline, 237 parents completed questionnaires, and 196 preschoolers provided valid ActiGraph data. At posttest, 181 parents completed questionnaires, and 166 preschoolers provided valid ActiGraph data (intervention, n=90; control, n=91). At follow-up, 181 parents again completed questionnaires, and 170 preschoolers provided valid ActiGraph data (intervention, n=90; control, n=91). Educating parents about healthy lifestyles through social media had a positive impact on preschoolers' light PA (vs control: adjusted mean difference -151.61 minutes/7 days, 95% CI -418.18 to -96.67, P=.002, Cohen d=0.28), vigorous PA (vs control: adjusted mean difference 138.47 minutes/7 days, 95% CI 117.61-183.10, P=.03, Cohen d=0.23), sleep latency (vs control: adjusted mean difference -21.04 minutes/day, 95% CI -16.07 to -6.00, P=.005, Cohen d=0.78), sleep efficiency (vs control: adjusted mean difference 4.61%, 95% CI 4.29-9.72, P<.001, Cohen d=0.34), and screen time (vs control: on weekdays, adjusted mean difference -16.42 minutes/weekday, 95% CI -30.83 to -2.01, P=.01, Cohen d=0.25; on weekends, adjusted mean difference -73.88 minutes/weekend day, 95% CI -98.48 to -49.28, P<.001, Cohen d=.46).
The findings may help address unhealthy lifestyles commonly observed in young children. Further efforts are needed to leverage cutting-edge technological advancements to support families in creating healthy living environments for children across broader regions.
ClinicalTrials.gov NCT06025019; https://clinicaltrials.gov/ct2/show/NCT06025019.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/58344.
学龄前儿童身体活动不足、不健康饮食和睡眠障碍的患病率正在急剧上升。父母在培养孩子的身体活动(PA)、饮食行为和睡眠习惯方面起着至关重要的作用。面对面干预存在时间投入等障碍,这使得电子健康选项颇具吸引力。然而,当前基于家长的电子健康干预在设计上存在局限性(例如,专注于单一结果、内容和顺序不均衡),其结果无法推广到其他地区。
本研究旨在评估在中国针对学龄前儿童的PA、饮食行为和睡眠的基于家长的电子健康干预的有效性。
这项具有两个平行组的单盲随机对照试验包括为期12周的干预,随后是12周的随访,于2023年9月至2024年6月在中国进行。该干预基于社会认知理论,包括12个关于PA(n = 4)、饮食行为(n = 4)和睡眠(n = 4)的互动模块,每个模块每周通过社交媒体提供。每个模块包括视频、循证信息、家长互动、目标设定和反馈。对照组通过微信每周收到一份无互动内容的电子宣传册。使用wGT3X - BT活动记录仪评估学龄前儿童的PA、睡眠时间和睡眠质量,而饮食行为、睡眠问题和屏幕使用时间由家长通过纸质问卷报告。使用广义估计方程,并对人口统计学协变量进行调整,以检验基于家长的电子健康干预对学龄前儿童结局的影响。
共有237对符合条件的亲子二元组被随机分配到干预组(n = 120,平均年龄4.51岁,标准差0.72岁;n = 67,55.8%为男孩)或对照组(n = 117,平均年龄4.31岁,标准差0.70岁;n = 69,59%为男孩)。在基线时,237名家长完成了问卷,196名学龄前儿童提供了有效的活动记录仪数据。在测试后,181名家长完成了问卷,166名学龄前儿童提供了有效的活动记录仪数据(干预组,n = 90;对照组,n = 91)。在随访时,181名家长再次完成了问卷,170名学龄前儿童提供了有效的活动记录仪数据(干预组,n = 90;对照组,n = 91)。通过社交媒体对家长进行健康生活方式教育对学龄前儿童的轻度PA(与对照组相比:调整后平均差异 - 151.61分钟/7天,95%置信区间 - 418.18至 - 96.67,P = 0.002,科恩d = 0.28)、剧烈PA(与对照组相比:调整后平均差异138.47分钟/7天,95%置信区间117.61 - 183.10,P = 0.03,科恩d = 0.23)、入睡潜伏期(与对照组相比:调整后平均差异 - 21.04分钟/天,95%置信区间 - 16.07至 - 6.00,P = 0.005,科恩d = 0.78)、睡眠效率(与对照组相比:调整后平均差异4.61%,95%置信区间4.29 - 9.72,P < 0.001,科恩d = 0.34)和屏幕使用时间(与对照组相比:在工作日,调整后平均差异 - 16.42分钟/工作日,95%置信区间 - 30.83至 - 2.01,P = 0.01,科恩d = 0.25;在周末,调整后平均差异 - 73.88分钟/周末日,95%置信区间 - 98.48至 - 49.28,P < 0.001,科恩d = 0.46)有积极影响。
这些发现可能有助于解决幼儿中常见的不健康生活方式问题。需要进一步努力利用前沿技术进步来支持家庭为更广泛地区的儿童创造健康的生活环境。
ClinicalTrials.gov NCT06025019;https://clinicaltrials.gov/ct2/show/NCT06025019。
国际注册报告识别码(IRRID):RR2 - 10.2196/58344。