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Exclusively Digital Health Interventions Targeting Diet, Physical Activity, and Weight Gain in Pregnant Women: Systematic Review and Meta-Analysis

机译:独家数字健康干预针对孕妇的饮食,身体活动和体重增加的数字健康干预:系统评价和荟萃分析

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Background Interventions to promote a healthy diet, physical activity, and weight management during pregnancy are increasingly embracing digital technologies. Although some interventions have combined digital with interpersonal (face-to-face or telephone) delivery, others have relied exclusively on digital delivery. Exclusively digital interventions have the advantages of greater cost-effectiveness and broader reach and as such can be a valuable resource for health care providers. Objective This systematic review aims to focus on exclusively digital interventions to determine their effectiveness, identify behavior change techniques (BCTs), and investigate user engagement. Methods A total of 6 databases (Medical Literature Analysis and Retrieval System Online [MEDLINE], Excerpta Medica dataBASE [EMBASE], PsycINFO, Cumulated Index to Nursing and Allied Health Literature [CINAHL] Plus, Web of Science, and ProQuest) were searched for randomized controlled trials or pilot control trials of exclusively digital interventions to encourage healthy eating, physical activity, or appropriate weight gain during pregnancy. The outcome measures were gestational weight gain (GWG) and changes in physical activity and dietary behaviors. Study quality was assessed using the Cochrane Risk of Bias tool 2.0. Where possible, pooled effect sizes were calculated using a random effects meta-analysis. Results In total, 11 studies met the inclusion criteria. The risk of bias was mostly high (n=5) or moderate (n=3). Of the 11 studies, 6 reported on GWG as the primary outcome, 4 of which also measured changes in physical activity and dietary behaviors, and 5 studies focused either on dietary behaviors only (n=2) or physical activity only (n=3). The meta-analyses showed no significant benefit of interventions on total GWG for either intention-to-treat data (?0.28 kg; 95% CI ?1.43 to 0.87) or per-protocol data (?0.65 kg; 95% CI ?1.98 to 0.67). Substantial heterogeneity in outcome measures of change in dietary behaviors and physical activity precluded further meta-analyses. BCT coding identified 7 BCTs that were common to all effective interventions. Effective interventions averaged over twice as many BCTs from the goals and planning , and feedback and monitoring domains as ineffective interventions. Data from the 6 studies reporting on user engagement indicated a positive association between high engagement with key BCTs and greater intervention effectiveness. Interventions using proactive messaging and feedback appeared to have higher levels of engagement. Conclusions In contrast to interpersonal interventions, there is little evidence of the effectiveness of exclusively digital interventions to encourage a healthy diet, physical activity, or weight management during pregnancy. In this review, effective interventions used proactive messaging, such as reminders to engage in BCTs, feedback on progress, or tips, suggesting that interactivity may drive engagement and lead to greater effectiveness. Given the benefits of cost and reach of digital interventions, further research is needed to understand how to use advancing technologies to enhance user engagement and improve effectiveness.
机译:背景干预措施在怀孕期间促进健康饮食,身体活动和体重管理越来越多地拥抱数字技术。虽然一些干预措施与人际关系(面对面或电话)交付合并数字,但其他人则完全依赖数字交付。专门的数字干预具有更高成本效益和更广泛的优势,因此可能是医疗保健提供者的宝贵资源。目的这一系统审查旨在专注于专门的数字干预,以确定其有效性,识别行为改变技术(BCT),并调查用户参与。方法总共6个数据库(在线医学文献分析和检索系统[Medline],Excerpta Medica数据库[Embase],Psycinfo,累积指数,累积指数累积给护理和盟国的卫生文学[Cinahl] Plus,Scient Web和Proquest)随机对照试验或试验控制试验专门的数字干预,以鼓励在怀孕期间进行健康饮食,身体活动或适当的体重增加。结果措施是妊娠重量增益(GWG)和身体活动和饮食行为的变化。使用偏置工具2.0的Cochrane风险评估研究质量。在可能的情况下,使用随机效应元分析来计算池化效果大小。结果总计,11项研究符合纳入标准。偏差的风险大多是高(n = 5)或中等的(n = 3)。在11项研究中,6例GWG报告为主要结果,其中4种也测量了物理活性和饮食行为的变化,并且5项研究仅针对膳食行为(n = 2)或物理活动(n = 3) 。荟萃分析表明,对于意图对治疗数据(α0.28kg; 95%ciα1.43至0.87)或每协定数据(Δ0.65kg; 95%ci?1.98,无需治疗总Gwg的干预措施0.67)。膳食行为和身体活性变化的结果措施中的大量异质性排除了进一步的荟萃分析。 BCT编码确定了7个BCT,这些BCT是所有有效干预措施。有效的干预措施从目标和规划的目标和规划以及反馈和监测领域的平均次数超过两倍于无效干预措施。来自6研究的数据报告用户参与表明了与关键BCT的高接合与更高的干预效果之间的正相关性。使用主动消息传递和反馈的干预似乎具有更高级别的参与度。结论与人际干预措辞相比,只有在怀孕期间鼓励健康饮食,体育活动或体重管理的专用性干预措施的有效性几乎没有证据。在本次审查中,利用主动消息传递的有效干预措施,例如提醒,从事BCT,有关进展或提示的反馈,表明交互性可能会推动接触并导致更大的有效性。鉴于成本和数字干预措施的效益,需要进一步的研究来了解如何使用推进技术来提高用户参与,提高效率。

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