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减肥专家指导:回顾性分析

Expert Coaching in Weight Loss: Retrospective Analysis.

作者信息

Painter Stefanie Lynn, Ahmed Rezwan, Kushner Robert F, Hill James O, Lindquist Richard, Brunning Scott, Margulies Amy

机构信息

Retrofit, Inc, Chicago, IL, United States.

出版信息

J Med Internet Res. 2018 Mar 13;20(3):e92. doi: 10.2196/jmir.9738.

Abstract

BACKGROUND

Providing coaches as part of a weight management program is a common practice to increase participant engagement and weight loss success. Understanding coach and participant interactions and how these interactions impact weight loss success needs to be further explored for coaching best practices.

OBJECTIVE

The purpose of this study was to analyze the coach and participant interaction in a 6-month weight loss intervention administered by Retrofit, a personalized weight management and Web-based disease prevention solution. The study specifically examined the association between different methods of coach-participant interaction and weight loss and tried to understand the level of coaching impact on weight loss outcome.

METHODS

A retrospective analysis was performed using 1432 participants enrolled from 2011 to 2016 in the Retrofit weight loss program. Participants were males and females aged 18 years or older with a baseline body mass index of ≥25 kg/m², who also provided at least one weight measurement beyond baseline. First, a detailed analysis of different coach-participant interaction was performed using both intent-to-treat and completer populations. Next, a multiple regression analysis was performed using all measures associated with coach-participant interactions involving expert coaching sessions, live weekly expert-led Web-based classes, and electronic messaging and feedback. Finally, 3 significant predictors (P<.001) were analyzed in depth to reveal the impact on weight loss outcome.

RESULTS

Participants in the Retrofit weight loss program lost a mean 5.14% (SE 0.14) of their baseline weight, with 44% (SE 0.01) of participants losing at least 5% of their baseline weight. Multiple regression model (R=.158, P<.001) identified the following top 3 measures as significant predictors of weight loss at 6 months: expert coaching session attendance (P<.001), live weekly Web-based class attendance (P<.001), and food log feedback days per week (P<.001). Attending 80% of expert coaching sessions, attending 60% of live weekly Web-based classes, and receiving a minimum of 1 food log feedback day per week were associated with clinically significant weight loss.

CONCLUSIONS

Participant's one-on-one expert coaching session attendance, live weekly expert-led interactive Web-based class attendance, and the number of food log feedback days per week from expert coach were significant predictors of weight loss in a 6-month intervention.

摘要

背景

在体重管理项目中配备教练是提高参与者参与度和减肥成功率的常见做法。为了确定最佳教练实践方法,需要进一步探究教练与参与者之间的互动情况以及这些互动如何影响减肥效果。

目的

本研究旨在分析由Retrofit(一种个性化体重管理和基于网络的疾病预防解决方案)实施的为期6个月的减肥干预中教练与参与者之间的互动。该研究特别考察了教练与参与者不同互动方式与体重减轻之间的关联,并试图了解教练指导对减肥结果的影响程度。

方法

对2011年至2016年参加Retrofit减肥项目的1432名参与者进行回顾性分析。参与者为年龄在18岁及以上、基线体重指数≥25kg/m²的男性和女性,且他们至少提供了一次基线以外的体重测量数据。首先,使用意向性分析人群和完成者人群对不同的教练与参与者互动进行详细分析。其次,对与教练-参与者互动相关的所有测量指标进行多元回归分析,这些指标包括专家指导课程、每周一次的由专家主持的在线直播课程以及电子信息和反馈。最后,对3个显著预测因素(P<.001)进行深入分析,以揭示其对减肥结果的影响。

结果

Retrofit减肥项目的参与者平均减轻了基线体重的5.14%(标准误0.14),44%(标准误0.01)的参与者减轻了至少5%的基线体重。多元回归模型(R=.158,P<.001)确定了以下3个最重要的指标作为6个月时体重减轻的显著预测因素:参加专家指导课程(P<.001)、每周参加在线直播课程(P<.001)以及每周食物日志反馈天数(P<.001)。参加80%的专家指导课程、60%的每周在线直播课程以及每周至少获得1天的食物日志反馈与临床上显著的体重减轻相关。

结论

在为期6个月的干预中,参与者参加一对一专家指导课程、每周参加由专家主持的在线互动直播课程以及每周从专家教练处获得食物日志反馈的天数是体重减轻的显著预测因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/004a/5871741/6514b8929bbd/jmir_v20i3e92_fig1.jpg

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