关键词: mobile healthcare nutrition knowledge obesity weight loss

Mesh : Humans Mobile Applications Male Female Retrospective Studies Taiwan Weight Loss Middle Aged Adult Nutritionists Diet Records Body Mass Index Diet, Carbohydrate-Restricted / methods Weight Reduction Programs / methods

来  源:   DOI:10.3390/nu16142331   PDF(Pubmed)

Abstract:
Effective weight management interventions involve a combination of behavioral strategies focusing on dietary changes. Tracing the change through mobile apps has been proven to be a valuable platform for facilitating weight management in many countries. However, the effectiveness of mobile app-based dietary intervention on weight management in Taiwan remains to be determined. By using the designated mobile app, this study aimed to assess the efficacy of the diet intervention, which is based on a 2:1:1 portion control plate and a flexible low-carbohydrate (FLC) diet. This 8-week retrospective cohort study involved 10,297 participants who were divided into two groups: the intervention group (joined an 8-week diet intervention program with the daily diet record assessed by registered dietitians) and the control group (voluntarily using the app without instructional materials or coaching). After eight weeks of intervention, the intervention group showed a higher weight loss percentage (-4.78% vs. -1.54%), body mass index (BMI) (-1.26 kg/m2 vs. 0.69 kg/m2), and diet record completeness (73.52% vs. 28.91%) compared with the control group. With respect to gender, male participants showed higher baseline weight and higher weight loss (-6.02%) in the intervention group. In the intervention group, 2871 participants (33.4%) lost less than 4% of their weight, 5071 participants (58.9%) lost 4-8% of their body weight, and 662 participants (7.7%) lost >8% of their weight. Compared to the low-effectiveness group (weight lost <4%), the high-effectiveness group (weight lost >8%) had a significantly higher diet record completeness (91.61 ± 15.99 vs. 55.81 ± 32.92), dietary compliance (green light %) (88.93 ± 9.9 vs. 77.75 ±17.5), protein intake % (26.34 ± 2.85 vs. 23.49 ± 3.56), and fat intake % (49.66 ± 6.36 vs. 44.05 ± 7.37). Most importantly, the high-effectiveness group had a lower carbohydrate intake % (24.1 ± 7.86 vs. 32.46 ± 9.61). The results remained significant after being stratified by gender. This study found that the use of online applications plus the intervention of dietitians is beneficial for short-term weight loss. The composition of nutrients and dietary compliance also significantly impacted weight loss.
摘要:
有效的体重管理干预措施涉及关注饮食变化的行为策略组合。通过移动应用程序追踪变化已被证明是许多国家促进体重管理的宝贵平台。然而,在台湾,基于移动应用程序的饮食干预对体重管理的有效性仍有待确定.通过使用指定的移动应用程序,这项研究旨在评估饮食干预的效果,其基于2:1:1的部分对照板和灵活的低碳水化合物(FLC)饮食。这项为期8周的回顾性队列研究涉及10,297名参与者,他们分为两组:干预组(加入了为期8周的饮食干预计划,并由注册营养师评估了日常饮食记录)和对照组(自愿使用该应用程序,无需教学材料或指导)。经过八周的干预,干预组表现出更高的体重减轻百分比(-4.78%vs.-1.54%),体重指数(BMI)(-1.26kg/m2vs.0.69kg/m2),和饮食记录的完整性(73.52%vs.28.91%)与对照组相比。关于性别,男性参与者在干预组中表现出较高的基线体重和较高的体重减轻(-6.02%).在干预组中,2871名参与者(33.4%)失去了不到4%的体重,5071名参与者(58.9%)体重减轻了4-8%,662名参与者(7.7%)体重减轻>8%。与低有效性组(体重减轻<4%)相比,高效组(体重减轻>8%)的饮食记录完整性显着提高(91.61±15.99vs.55.81±32.92),饮食依从性(绿灯%)(88.93±9.9vs.77.75±17.5),蛋白质摄入量%(26.34±2.85vs.23.49±3.56),和脂肪摄入量%(49.66±6.36vs.44.05±7.37)。最重要的是,高效组的碳水化合物摄入量较低(24.1±7.86vs.32.46±9.61)。按性别分层后,结果仍然显着。这项研究发现,使用在线应用程序加上营养师的干预有利于短期减肥。营养素的组成和饮食依从性也显著影响体重减轻。
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