Digital health, technology-driven or technology-assisted interventions for the management of obesity in children and adolescents.

IF 8.8 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Cristina Palacios, Jacqueline Hernandez, Ajmal Ajmal, Andres J Rodriguez, Alhassan Yosri Ibrahim Hassan, Maria-Inti Metzendorf, Jessica C Ramella-Roman
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引用次数: 0

Abstract

Background: Childhood obesity is a worldwide public health problem that increases the risk of chronic diseases. In 2016, more than 340 million children and adolescents aged 5 to 19 years were living with overweight or obesity.

Objectives: To assess the effects and safety of interventions using digital technology - that is, interventions applied to achieve health objectives implemented within any digital application, communication, or system - for the integrated management of obesity in children and adolescents. Specifically, to assess the effects of digital interventions in the management of obesity in children and adolescents when used: - in combination with conventional care compared to conventional care alone; and - alone compared to conventional care alone.

Search methods: We searched CENTRAL, MEDLINE, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), and two major trials registers to identify the studies included in this review. The date of the last search was 14 April 2025. We did not apply any language restrictions.

Selection criteria: We included randomized controlled trials conducted in children (0 to 9 years old) and adolescents (10 to 19 years old) living with obesity, as defined by World Health Organization (WHO) Growth References. We included trials using the following digital health interventions for managing obesity: 'wearable' or implantable devices, web-based interventions, text messages, mobile phone or tablet applications, 'exergaming' or active video gaming, and telehealth. Participants in the comparison groups received conventional care or an intervention without a digital/technological component.

Data collection and analysis: Working independently, two review authors extracted data, assessed the studies' risk of bias using Cochrane's original risk of bias tool, and evaluated the certainty of the evidence using GRADE criteria. The following outcomes were extracted: anthropometry (body mass index [BMI], weight, skinfolds, waist-to-hip ratio, waist circumference), adiposity, physical activity, physical and mental well-being, quality of life, blood pressure, adverse events associated with the interventions, presence of obesity co-existing complications, obesity-associated disability, hyperinsulinemia, insulin resistance, glycemia, lipid metabolism or adipogenesis, lipid hormones, alterations in hunger or satiety, reduced disability in any of the functionality domains, mortality, prevalence of obesity in adulthood, and access to health services.

Main results: We included 15 studies involving 911 participants, conducted in the USA (five studies), Sweden (three studies), and one each in Canada, China, Ireland, Italy, South Korea, Switzerland, and Thailand. All studies involved participants aged 10 to 19 years old, with 10 exclusively focusing on this age group. Five studies also included younger children (0 to 9 years). Eight studies included both diet and physical activity components, four studies included only a physical activity component, and three included only a diet component. We classified nine studies as short duration (< six months) and six as long duration (six or more months). Nine trials did not specify the theoretical basis of their intervention. We grouped the studies into two comparisons: (1) digital health technology plus conventional care versus conventional care alone; and (2) digital technology alone versus conventional care alone. Digital interventions combined with conventional care versus conventional care alone (8 studies) Digital interventions led to a slightly lower, but clinically meaningful, fat mass at the end of the study (mean difference -2.63%, 95% confidence interval -4.47 to -0.78; 3 studies, 203 participants; moderate-certainty evidence). The effect of digital interventions plus conventional care on other important outcomes reported was unclear. No studies reported adverse event data. Digital interventions alone compared to conventional care alone (7 studies) The effect of digital interventions alone on any of the outcomes reported was unclear. No studies reported adverse event data.

Authors' conclusions: Digital interventions plus conventional care may have a small, short-term beneficial effect on fat mass in children and adolescents compared to conventional care alone. The effect on other outcome measures is unclear. The long-term clinical benefit in children and adolescents is difficult to assess due to the limited number of studies with relatively small sample sizes included in this review. Future studies should: report their results by age, gender, and race/ethnicity; report full data to better enable data extraction and analysis; assess other important outcomes, particularly adverse events; control for both diet and physical activity in their analyses; and report the behavioral theory informing their intervention.

管理儿童和青少年肥胖的数字健康、技术驱动或技术辅助干预措施。
背景:儿童肥胖是一个全球性的公共卫生问题,它增加了患慢性病的风险。2016年,超过3.4亿5至19岁的儿童和青少年超重或肥胖。目的:评估使用数字技术的干预措施的效果和安全性,即在任何数字应用程序、通信或系统中实施的用于实现健康目标的干预措施,用于儿童和青少年肥胖的综合管理。具体而言,评估数字干预措施在儿童和青少年肥胖管理中的效果:-与传统护理结合使用,与单独使用传统护理相比;与传统护理相比。检索方法:我们检索了CENTRAL、MEDLINE、护理和相关健康文献累积索引(CINAHL)和两个主要试验注册库,以确定本综述中纳入的研究。最后一次搜索的日期是2025年4月14日。我们没有使用任何语言限制。选择标准:我们纳入了在世界卫生组织(WHO)生长参考定义的肥胖儿童(0 - 9岁)和青少年(10 - 19岁)中进行的随机对照试验。我们纳入了使用以下数字健康干预措施来管理肥胖的试验:“可穿戴”或植入式设备、基于网络的干预措施、短信、移动电话或平板电脑应用程序、“运动游戏”或活跃的视频游戏,以及远程医疗。对照组的参与者接受传统护理或没有数字/技术成分的干预。数据收集和分析:两位综述作者独立工作,提取数据,使用Cochrane的原始偏倚风险工具评估研究的偏倚风险,并使用GRADE标准评估证据的确定性。提取的结果如下:人体测量(体重指数[BMI]、体重、皮肤褶皱、腰臀比、腰围)、肥胖、身体活动、身心健康、生活质量、血压、与干预相关的不良事件、肥胖共存并发症的存在、肥胖相关残疾、高胰岛素血症、胰岛素抵抗、血糖、脂质代谢或脂肪生成、脂质激素、饥饿或饱腹感的改变、减少任何功能领域的残疾、死亡率、成年肥胖患病率和获得卫生服务的机会。主要结果:我们纳入了15项研究,涉及911名参与者,分别在美国(5项研究)、瑞典(3项研究)和加拿大、中国、爱尔兰、意大利、韩国、瑞士和泰国各1项研究。所有的研究都涉及年龄在10到19岁之间的参与者,其中10项研究专门针对这个年龄段。五项研究还包括年龄较小的儿童(0至9岁)。8项研究同时包含饮食和身体活动成分,4项研究只包括身体活动成分,3项研究只包括饮食成分。我们将9项研究分为短期研究(< 6个月)和长期研究(6个月或更长时间)。9项试验没有说明其干预的理论基础。我们将研究分为两组比较:(1)数字医疗技术加常规护理与单独常规护理;(2)单独使用数字技术与单独使用传统护理。数字干预联合常规护理与单独常规护理相比(8项研究)数字干预导致研究结束时脂肪量略低,但具有临床意义(平均差异为-2.63%,95%置信区间为-4.47至-0.78;3项研究,203名受试者;moderate-certainty证据)。数字干预加上传统护理对报告的其他重要结果的影响尚不清楚。没有研究报告不良事件数据。单独的数字干预与单独的传统护理相比(7项研究)单独的数字干预对报告的任何结果的影响尚不清楚。没有研究报告不良事件数据。作者的结论是:与单独的传统护理相比,数字干预加传统护理可能对儿童和青少年的脂肪量有小的、短期的有益影响。对其他结果指标的影响尚不清楚。由于本综述纳入的研究数量有限,样本量相对较小,因此难以评估儿童和青少年的长期临床获益。未来的研究应该:报告年龄、性别和种族/民族的结果;报告完整的数据,以便更好地进行数据提取和分析;评估其他重要结果,特别是不良事件;在他们的分析中控制饮食和身体活动;并报告他们干预的行为理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.60
自引率
2.40%
发文量
173
审稿时长
1-2 weeks
期刊介绍: The Cochrane Database of Systematic Reviews (CDSR) stands as the premier database for systematic reviews in healthcare. It comprises Cochrane Reviews, along with protocols for these reviews, editorials, and supplements. Owned and operated by Cochrane, a worldwide independent network of healthcare stakeholders, the CDSR (ISSN 1469-493X) encompasses a broad spectrum of health-related topics, including health services.
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