Abstract MP15: Promoting Lifestyle Change Via Real-time Feedback: Short-term Weight Loss Outcomes In The Smarter Trial

减肥 医学 超重 随机对照试验 肥胖 重量变化 物理疗法 行为改变 体重管理 老年学 内科学 病理
作者
Lora E. Burke,Susan M. Sereika,Zhadyra Bizhanova,Bambang Parrmanto,Jacob K. Kariuki,Britney Beatrice,India Loar,Jessica Cheng,I Wayan Pulantara,Yuhan Wang,Maribel Cedillo,Molly B. Conroy
出处
期刊:Circulation [Lippincott Williams & Wilkins]
卷期号:143 (Suppl_1) 被引量:1
标识
DOI:10.1161/circ.143.suppl_1.mp15
摘要

Background: Obesity is a major risk factor for CVD. Standard behavioral treatment (SBT) typically requires face-to-face sessions, is expensive, has limited evidence for sustained weight loss, and critically, is not available to many with obesity. Using innovative mobile technology to provide real-time tailored feedback (FB) to the self-monitoring (SM) of diet, physical activity, and weight can improve lifestyle and weight management habits. It can be accessible to those without access to SBT, or to those not wishing to participate in a structured, in-person program. We report short-term, 6-month weight findings from the SMARTER Trial. Methods: SMARTER tests the efficacy of adding automated FB to smartphone SM compared to SM alone on weight loss. We randomized 502 adults with overweight/obesity to either 1) SM alone (n=251) or 2) SM+FB (n=251). The SM+FB group received up to 3 FB pop-up messages/day on their smartphone which were tailored to data in SM entries and delivered at random times during waking hours. Participants used a smartphone app to self-report diet, a Fitbit Charge 2 to monitor physical activity, and a digital Bluetooth scale for weight tracking. At baseline, all had a 90-min one-on-one session with a dietitian on behavioral changes to target weight loss. Percent weight loss from baseline to 6 months and the percentage of participants having at least a 5% weight loss at 6 months were compared between treatment groups using an intention to treat (ITT) approach with either parametric or non-parametric group comparisons. Missing assessment weights at 6 months were imputed using participants’ weight tracking data. Results: Groups had similar demographic characteristics and anthropometric measures at baseline (all p≥.05). The sample was mostly female (79.5%,399/502) and white (84.3%, 423/502) with mean BMI of 33.10 ± 3.93 kg/m 2 . There was no difference between groups in having weight data available at 6 months (SM: 84.9%, 213/251), SM+FB: 83.7%, 210/251); p=.713). Based on ITT analyses, there was no significant difference between the two groups in mean percent weight loss from baseline to 6 months (SM: Mean= -3.24% [SD=5.27], SM+FB: Mean= -3.16% [SD=5.50]; p=.860). Similar results were obtained using non-parametric methods, further supporting no difference in percent weight loss between the groups (SM: Median= -2.25% [IQR=5.53], SM+FB: Median= -2.45% [IQR=6.88]; p=.962). Overall, 30.1%,151/502) achieved at least 5% weight loss at 6 months, with similar percentages between treatment groups (SM: 28.3%,71/251, SM+FB: 31.9%, 80/251); p=.381). Conclusions: These findings demonstrate excellent 6-month assessment completion rates. We did not support our hypothesis that participants in the SM+FB group would show greater weight loss at 6 months than those in the SM group. It is possible that weight loss outcomes may differ between groups in the second half of the 12-month intervention.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
22336应助魈玖采纳,获得20
刚刚
sqp发布了新的文献求助10
1秒前
咎灵阳发布了新的文献求助10
1秒前
1秒前
之之完成签到,获得积分10
1秒前
彩色梦柏完成签到,获得积分20
1秒前
潇洒发布了新的文献求助10
1秒前
共享精神应助稳重的书双采纳,获得10
1秒前
yck1027完成签到,获得积分10
2秒前
MozzieMiao应助彩色的沛白采纳,获得80
2秒前
2秒前
英勇的飞扬完成签到,获得积分10
3秒前
123shl发布了新的文献求助10
3秒前
3秒前
3秒前
4秒前
慕青应助西瓜皮采纳,获得10
4秒前
研友_LN7bvn发布了新的文献求助10
5秒前
彩色纸飞机完成签到 ,获得积分10
6秒前
6秒前
7秒前
呦吼。。。完成签到,获得积分10
7秒前
keke发布了新的文献求助10
8秒前
9秒前
9秒前
9秒前
JJ完成签到 ,获得积分10
9秒前
10秒前
10秒前
打打应助xuan采纳,获得10
10秒前
彭于晏应助asd采纳,获得10
10秒前
甜甜寄凡完成签到,获得积分10
10秒前
zzz发布了新的文献求助10
11秒前
11秒前
英姑应助潇洒采纳,获得10
12秒前
SciGPT应助Ch采纳,获得10
12秒前
善良绝悟发布了新的文献求助10
13秒前
六神曲发布了新的文献求助10
13秒前
失眠鳄梨完成签到,获得积分10
13秒前
pig_chivalrous完成签到,获得积分10
13秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7582182
求助须知:如何正确求助?哪些是违规求助? 9161229
关于积分的说明 19602032
捐赠科研通 7164313
什么是DOI,文献DOI怎么找? 3266104
关于科研通互助平台的介绍 2431004
邀请新用户注册赠送积分活动 2257295