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使用数字化膳食计划和食物购买平台维持肥胖成年人 12、24 和 36 个月的体重减轻:一项纵向研究。

Sustaining weight loss among adults with obesity using a digital meal planning and food purchasing platform for 12, 24, and 36 months: a longitudinal study.

机构信息

Zipongo, Inc, DBA Foodsmart, 595 Pacific Ave, 4th Floor, San Francisco, CA, 94133, USA.

Adventist Health, 1 Adventist Health Way, Roseville, CA, 95661, USA.

出版信息

Nutr J. 2021 Jan 21;20(1):8. doi: 10.1186/s12937-021-00666-9.

DOI:10.1186/s12937-021-00666-9
PMID:33478516
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7818217/
Abstract

BACKGROUND

Previous studies have shown that lifestyle changes, such as diet and exercise, can lead to weight loss, resulting in dramatic improvements in overall health and chronic disease risk. However, while many traditional dieting, food tracking and weight loss coaching programs result in short-term weight loss, there is less evidence of their effectiveness on sustaining weight loss over time.

METHODS

We conducted a retrospective analysis of 1,740 adults with obesity who used Foodsmart, a digital personalized dietary assessment, meal planning and food purchasing platform. Participants reported age, gender, at least three measures of weight, and their diet using a food frequency questionnaire. We defined sustained weight loss as participants who lost 5 % of initial weight between their first and second reported weights and lost weight or maintained weight between second and third reported weights. A healthy eating score, Nutriscore, was calculated to assess overall diet quality. We used multivariate logistic regression models to examine the association between user characteristics and odds of sustained weight loss.

RESULTS

Over a median of 25 months, the mean (standard deviation) change in weight among participants was - 6.2 (19.8) pounds. In total, 39.3 % (684/1,740) of participants lost at least 5 % of their initial weight, and 22.4 % percent (389/1,740) of participants sustained weight loss. In the fully-adjusted logistic regression model, we found that obesity class 2 (odds ratio, OR: 1.69, 95 % confidence interval, CI: 1.27-2.24, P < 0.001), obesity class 3 (OR: 2.23, 95 % CI: 1.68-2.97, P < 0.001), baseline diet quality (OR: 1.06, 95 % CI: 1.02-1.09, P < 0.001), and greater change in diet quality (OR: 1.10, 95 % CI: 1.07-1.14, P < 0.001) were significantly associated with sustained weight loss.

CONCLUSIONS

This study characterized and demonstrated the utility of Foodsmart, a digital platform that gives personalized nutrition recommendations and meal planning tools, in sustained weight reduction among users with obesity.

摘要

背景

先前的研究表明,生活方式的改变,如饮食和运动,可以导致体重减轻,从而显著改善整体健康和慢性病风险。然而,虽然许多传统的节食、食物跟踪和减肥指导计划会导致短期体重减轻,但关于它们在长期维持体重减轻方面的有效性的证据较少。

方法

我们对使用 Foodsmart 的 1740 名肥胖成年人进行了回顾性分析。Foodsmart 是一个数字化的个性化饮食评估、膳食计划和食物购买平台。参与者报告了年龄、性别、至少三次体重测量值以及使用食物频率问卷报告的饮食情况。我们将持续体重减轻定义为参与者在第一次和第二次报告的体重之间减轻了初始体重的 5%,并且在第二次和第三次报告的体重之间减轻了体重或保持了体重。计算了 Nutriscore 健康饮食评分来评估整体饮食质量。我们使用多变量逻辑回归模型来检查用户特征与持续体重减轻的几率之间的关联。

结果

在中位数为 25 个月的时间里,参与者的体重平均(标准差)变化为-6.2(19.8)磅。共有 39.3%(684/1740)的参与者减轻了至少 5%的初始体重,22.4%(389/1740)的参与者维持了体重减轻。在完全调整的逻辑回归模型中,我们发现肥胖 2 级(比值比,OR:1.69,95%置信区间,CI:1.27-2.24,P<0.001)、肥胖 3 级(OR:2.23,95%CI:1.68-2.97,P<0.001)、基线饮食质量(OR:1.06,95%CI:1.02-1.09,P<0.001)和饮食质量变化更大(OR:1.10,95%CI:1.07-1.14,P<0.001)与持续体重减轻显著相关。

结论

这项研究描述并证明了 Foodsmart 的实用性,这是一个数字化平台,提供个性化的营养建议和膳食计划工具,可帮助肥胖用户实现持续的体重减轻。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a821/7819307/2ec6cef6427b/12937_2021_666_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a821/7819307/3f9f1a159013/12937_2021_666_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a821/7819307/d4ec80b6bb7f/12937_2021_666_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a821/7819307/2ec6cef6427b/12937_2021_666_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a821/7819307/3f9f1a159013/12937_2021_666_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a821/7819307/d4ec80b6bb7f/12937_2021_666_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a821/7819307/2ec6cef6427b/12937_2021_666_Fig3_HTML.jpg

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