Abstract:
The objective of this study was to assess the feasibility and effectiveness of a novel WeChat applet-based personalized dietary intervention aimed at promoting healthier dietary intakes. A two-arm parallel, randomized, controlled trial was conducted in a real-world scenario and involved a total of 153 participants (the intervention group, n = 76; the control group, n = 77), lasting for 4 months in Shanghai, China. The intervention group had access to visualized nutrition evaluations through the applet during workday lunch time, while the control group received no interventions. A total of 3413 lunch dietary intake records were captured through the applet. Linear mixed models were utilized to assess the intervention effects over time. At baseline, the participants\' lunchtime dietary intakes were characterized by insufficient consumption of plant foods (86.9% of the participants) and excessive intake of animal foods (79.7% of the participants). Following the commencement of the intervention, the intervention group showed a significant decrease in the animal/plant food ratio (β = -0.03/week, p = 0.024) and the consumption of livestock and poultry meat (β = -1.80 g/week, p = 0.035), as well as a borderline significant increase in the consumption of vegetables and fruits (β = 3.22 g/week, p = 0.055) and plant foods (β = 3.26 g/week, p = 0.057) over time at lunch compared to the control group. The applet-based personalized dietary intervention was feasible and effective in improving dietary intakes and, consequently, possibly may manage body weight issues in real-world scenarios.
摘要:
这项研究的目的是评估一种基于微信小程序的个性化饮食干预的可行性和有效性,旨在促进更健康的饮食摄入。双臂平行,随机化,对照试验是在真实世界的情况下进行的,共有153名参与者(干预组,n=76;对照组,n=77),在上海持续了4个月,中国。干预组可以在工作日午餐时间通过小程序获得可视化的营养评估,对照组不接受干预措施。通过小程序共捕获3413份午餐饮食摄入记录。线性混合模型用于评估干预效果随时间的变化。在基线,参与者午餐时间饮食摄入的特点是植物性食物摄入不足(86.9%的参与者)和动物性食物摄入过多(79.7%的参与者).干预开始后,干预组动物/植物食物比例显着下降(β=-0.03/周,p=0.024)和畜禽肉类消费量(β=-1.80克/周,p=0.035),以及蔬菜和水果消费量的临界显着增加(β=3.22克/周,p=0.055)和植物性食品(β=3.26克/周,与对照组相比,p=0.057)在午餐时的时间。基于小程序的个性化饮食干预在提高膳食摄入量方面是可行和有效的,因此,可能可以在现实世界中管理体重问题。