一个随机试验使用在线杂货店来评估多组件数字干预以改善饮食质量
Soye Shin1, Yan Xiaoxi2, Bibhas Chakraborty3
1Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.
American journal of preventive medicine
|March 22, 2025
概括
数字干预显著改善了在线购物车营养质量,从C级转移到B级. 这些饮食质量改善在多次购物之旅中得到了持续.
科学领域:
- 营养科学 营养科学
- 数字健康数字健康
- 公共卫生 公共卫生
背景情况:
- 饮食不良是非传染性疾病的主要驱动因素.
- 在线杂货购物提供了一个影响饮食选择的机会.
- 数字干预可以成为改善人口饮食质量的可扩展解决方案.
研究的目的:
- 为了测试通过在线杂货店提供的多组件数字干预.
- 提高在线杂货店购物者购买的营养质量.
- 评估解释性营养标签,实时反和产品优先级对饮食摄入的影响.
主要方法:
- 这是一项双臂随机对照试验 (RCT),涉及新加坡328名在线杂货购物者.
- 参与者完成了每周3个订单,随机分配到一个标准的在线商店或一个具有多组件数字干预的商店.
- 干预措施包括包装前面的营养标签,实时购物车反,更健康的产品订购和替代品建议.
主要成果:
- 与对照组相比,干预组的杂货车平均营养分数显著增加了4.06个点.
- 这一改进使平均购物车质量从Nutri-Score等级C转移到等级B.
- 在所有三个购物场合中,对营养质量的积极影响是持续的.
结论:
- 一个多元数字干预有效地提高了在线杂货购买的营养质量.
- 这些发现强调了数字工具在促进更健康饮食方面的潜力.
- 持续的改善表明这种干预措施在改善公共卫生结果方面具有长期可行性.
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