School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia.
Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia.
Adv Nutr. 2021 Jun 1;12(3):657-669. doi: 10.1093/advances/nmaa144.
Personalized nutrition (PN) behavior-change interventions are being used increasingly in attempts to improve dietary intake; however, the impact of PN advice on improvements in dietary intake has not been reviewed systematically. The aim of this systematic review was to evaluate the effect of PN advice on changes in dietary intake compared with generalized advice in healthy adults. Three databases (EMBASE, PubMed, and CINAHL) were searched between 2009 and 2020 for randomized controlled trials (RCTs) that tested the effect of PN and tailored advice based on diet, phenotype, or genetic information. The Evidence Analysis Library Quality Criteria checklist was used to conduct a risk-of-bias assessment. Information on intervention design and changes in nutrients, foods, and dietary patterns was extracted from the 11 studies meeting the inclusion criteria. Studies were conducted in the United States, Canada, or Europe; reported outcomes on 57 to 1488 participants; and varied in follow-up duration from 1 to 12 mo. Five studies incorporated behavior-change techniques. The risk of bias for included studies was low. Overall, the available evidence suggests that dietary intake is improved to a greater extent in participants randomly assigned to receive PN advice compared with generalized dietary advice. Additional well-designed PN RCTs are needed that incorporate behavior-change techniques, a broader range of dietary outcomes, and comparisons between personalization based on dietary, biological, and/or lifestyle information.
个性化营养(PN)行为改变干预措施越来越多地被用于尝试改善饮食摄入;然而,PN 建议对改善饮食摄入的影响尚未得到系统审查。本系统评价的目的是评估与一般建议相比,PN 建议对健康成年人饮食摄入变化的影响。2009 年至 2020 年期间,在三个数据库(EMBASE、PubMed 和 CINAHL)中搜索了随机对照试验(RCT),这些试验测试了基于饮食、表型或遗传信息的 PN 和量身定制建议对改变饮食摄入的影响。使用证据分析库质量标准清单进行了偏倚风险评估。从符合纳入标准的 11 项研究中提取了干预设计和营养素、食物和饮食模式变化的信息。这些研究在美国、加拿大或欧洲进行;报告了 57 至 1488 名参与者的结果;随访时间从 1 至 12 个月不等。五项研究纳入了行为改变技术。纳入研究的偏倚风险较低。总体而言,现有证据表明,与接受一般饮食建议的参与者相比,随机分配接受 PN 建议的参与者的饮食摄入有更大程度的改善。需要更多设计良好的 PN RCT,纳入行为改变技术、更广泛的饮食结果,并比较基于饮食、生物和/或生活方式信息的个性化。