Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland.
Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.
Obes Res Clin Pract. 2022 May-Jun;16(3):181-196. doi: 10.1016/j.orcp.2022.06.001. Epub 2022 Jun 9.
Mobile technology has been increasingly used as part of dietary interventions, but the effects of such interventions have not been systematically evaluated in the South Asian context. The systematic review aimed to determine the effects of technology-based interventions on dietary intake or anthropometrics among adolescents and adults in South Asia.
Five electronic databases were searched (PubMed, Scopus, Web of Science, Global Health Library and Health Technology Assessment). Studies published in English between 1st January 2011 and 31st December 2021were included. Interventions that evaluated the effects of dietary interventions using technology on dietary outcomes and anthropometrics in adolescents or adults in the age group of 13-44 years (or a broader age group) from South Asia were eligible for inclusion. The risk of bias was assessed using the Cochrane Risk-of-bias 2 tool and ROBINS-I tool. A narrative synthesis was conducted.
Twenty-one studies met the inclusion criteria (20,667 participants). Eleven of the 17 randomised controlled trials (RCTs) had a high overall risk of bias. The four non-randomised intervention studies had a serious or critical overall risk of bias. When including studies with low risk or some concern for bias, the interventions had a beneficial effect on at least one dietary outcome in four of the six RCTs that measured changes in diet, and no effect on the anthropometric outcomes in the six RCTs that measured changes in anthropometric outcomes.
Technology-based dietary interventions have had some positive effects on dietary intake, but no effects on anthropometry in South Asia. More evidence is needed as the overall risk of bias was high in a majority of the studies.
移动技术已越来越多地被用于饮食干预措施，但这些干预措施在南亚地区的效果尚未得到系统评估。本系统评价旨在确定基于技术的干预措施对南亚青少年和成年人饮食摄入或人体测量学的影响。
检索了五个电子数据库（PubMed、Scopus、Web of Science、全球卫生图书馆和卫生技术评估）。纳入了 2011 年 1 月 1 日至 2021 年 12 月 31 日期间以英文发表的研究。符合纳入标准的干预措施为：使用技术评估针对青少年或 13-44 岁（或更广泛的年龄组）成年人的饮食干预措施对饮食结果和人体测量学的影响的研究。使用 Cochrane 风险偏倚评估工具 2 版（RoB 2）和 ROBINS-I 工具评估偏倚风险。进行了叙述性综合分析。
21 项研究符合纳入标准（20667 名参与者）。17 项随机对照试验（RCT）中有 11 项整体偏倚风险高。4 项非随机干预研究整体偏倚风险严重或危急。当纳入低风险或存在一定偏倚风险的研究时，在测量饮食变化的 6 项 RCT 中，有 4 项干预措施对至少一项饮食结果有有益影响，而在测量人体测量学结果变化的 6 项 RCT 中，干预措施对人体测量学结果没有影响。
基于技术的饮食干预措施对饮食摄入有一定的积极影响，但对南亚地区的人体测量学没有影响。由于大多数研究的总体偏倚风险较高，因此需要更多的证据。
