Digital Interventions for Improving Body Dissatisfaction in Children and Emerging Adults: Systematic Review and Meta-Analysis.

IF 1.9 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Li Liu, Jianning Yang, Fengmei Tan, Xia Yang, Huan Luo, Yanhua Chen, Xiaolei Zhao
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引用次数: 0

Abstract

Background: Body dissatisfaction is a condition where individuals are dissatisfied with their physical appearance. It has become a global issue, especially among children and emerging adults. A growing number of digital interventions have been developed to address body dissatisfaction in children and emerging adults; however, controversies remain regarding their efficacy, underscoring the need for a comprehensive synthesis of current evidence.

Objective: This systematic review aimed to explore the effectiveness of digital interventions in improving body image-related outcomes among children and emerging adults.

Methods: From inception to April 24, 2024, a literature search was performed across 7 databases-PubMed, Web of Science, MEDLINE, EBSCO (Elton B Stephens Company), Cochrane Library, CNKI (China National Knowledge Infrastructure), and WANFANG-to identify randomized controlled trials (RCTs) with a predefined set of inclusion criteria. This systematic review was reported in line with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines. Study selection, data extraction, and risk of bias assessment using the Cochrane Risk-of-Bias Tool 2.0 were conducted independently by 2 researchers. Standardized mean differences (SMDs) and 95% CIs from the included RCTs were calculated for the meta-analysis. Heterogeneity was assessed with I² values. A fixed-effects model was used when I²≤50%, and a random-effects model was selected when I²>50%.

Results: Twenty RCTs with 5251 participants (2610 in intervention groups and 2641 in control groups) met the inclusion criteria. Digital interventions included web pages, mobile apps, computer-based videos, computer-based sessions, internet-based sessions, internet games, chatbots, podcasts, and social media. Our results indicate that digital interventions could significantly improve body dissatisfaction (SMD=0.38, 95% CI -0.63 to -0.13; I2=55%; P=.003), physical appearance comparison (SMD=-0.24, 95% CI -0.45 to -0.03; I2=0%; P=.003), thin-ideal internalization (SMD=-0.28, 95% CI -0.36 to -0.2; I2=41%; P<.001), self-esteem (SMD=0.14, 95% CI 0.07-0.21; I2=21%; P<.001), self-compassion (SMD=0.55, 95% CI 0.33-0.78; I2=35%; P<.001), and depression (SMD=-0.59, 95% CI -0.97 to -0.21; I2=0%; P=.002), with small to medium effect sizes.

Conclusions: While digital interventions improved body dissatisfaction among children and emerging adults, additional well-designed, rigorous, and large-scale RCTs are needed to decisively provide estimates of the effectiveness of digital interventions on body dissatisfaction.

改善儿童和初成人身体不满的数字干预:系统回顾和荟萃分析。
背景:身体不满是指个人对自己的外表不满意。它已经成为一个全球性的问题,尤其是在儿童和刚成年的人群中。越来越多的数字干预措施已经被开发出来,以解决儿童和新兴成年人对身体的不满;然而,关于其有效性的争议仍然存在,强调需要对现有证据进行全面综合。目的:本系统综述旨在探讨数字干预在改善儿童和初成人身体形象相关结果方面的有效性。方法:从研究开始到2024年4月24日,检索pubmed、Web of Science、MEDLINE、EBSCO (Elton B Stephens Company)、Cochrane图书馆、CNKI(中国知识基础设施)和万方等7个数据库进行文献检索,以确定具有预定义纳入标准的随机对照试验(RCTs)。该系统评价的报告符合PRISMA(系统评价和荟萃分析的首选报告项目)指南。研究选择、数据提取和使用Cochrane风险偏倚工具2.0进行偏倚风险评估由2名研究人员独立进行。计算纳入的随机对照试验的标准化平均差异(SMDs)和95% ci进行meta分析。异质性评价采用I²值。当I²≤50%时采用固定效应模型,当I²大于等于50%时采用随机效应模型。结果:20项rct共5251名受试者(干预组2610名,对照组2641名)符合纳入标准。数字干预包括网页、移动应用程序、基于计算机的视频、基于计算机的会议、基于互联网的会议、网络游戏、聊天机器人、播客和社交媒体。我们的研究结果表明,数字干预可以显著改善身体不满(SMD=0.38, 95% CI -0.63 ~ -0.13;I2 = 55%;P= 0.003),体格外观比较(SMD=-0.24, 95% CI -0.45 ~ -0.03;I2 = 0%;P= 0.003),薄理想内化(SMD=-0.28, 95% CI -0.36 ~ -0.2;I2 = 41%;结论:虽然数字干预改善了儿童和初成人的身体不满意度,但需要更多精心设计、严格且大规模的随机对照试验来确定数字干预对身体不满意度的有效性。
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
Interactive Journal of Medical Research
Interactive Journal of Medical Research MEDICINE, RESEARCH & EXPERIMENTAL-
自引率
0.00%
发文量
45
审稿时长
12 weeks
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