The Association Between Engagement and Weight Loss Through Personal Coaching and Cell Phone Interventions in Young Adults: Randomized Controlled Trial.
The Association Between Engagement and Weight Loss Through Personal Coaching and Cell Phone Interventions in Young Adults: Randomized Controlled Trial.
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DOI：
10.2196/10471
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发表时间：
2018-10-18
影响因子：
5
通讯作者：
Svetkey L
中科院分区：
文献类型：
--
作者：
Lin PH;Grambow S;Intille S;Gallis JA;Lazenka T;Bosworth H;Voils CL;Bennett GG;Batch B;Allen J;Corsino L;Tyson C;Svetkey L
了解参与移动的健康（mHealth）减肥干预措施与体重变化的关系可能有助于制定有效的干预策略。本研究旨在检查（1）参与者参与的整体模式，以及在手机干预为你（城市）试验中每个干预组内的关键干预组件;（2）参与与体重变化的关联;（3）参与者与参与相关的特征。CITY试验测试了两种为期24个月的减肥干预措施。一个是智能手机应用程序（手机），包含24个组件（体重跟踪等），并包括由应用程序以预定的频率和形式提示。另一种是由教练通过每月电话（个人教练）提供，并辅以有限的应用程序组件（总共18个），而没有应用程序的任何提示。通过计算每个应用程序组件的使用天数百分比和使用频率来评估参与度。还在4个体重变化类别中检查了参与度：增加（≥2%），稳定（±2%），轻度减轻（≥2%至<5%）和较大减轻（≥5%）。分析了122名手机和120名个人教练参与者的数据。两组在第1个月期间应用程序的使用率最高;此后，使用率大幅下降并持续下降，直至研究结束。在前6个月，手机组使用任何应用程序组件的平均天数百分比（74.2%，SD 20.1）高于个人教练组（48.9%，SD 22.4）。手机组平均每天使用这些应用程序5.3次（SD 3.1），而私人教练组的参与者每天使用1.7次（SD 1.2）。同样，前者的自我称重大于后者（57.1%天，SD 23.7 vs 32.9%天，SD 23.3）。此外，使用任何应用程序组件的天数百分比、每天使用应用程序的次数和自我称重的天数百分比在两组的4个体重类别中均显示出显著差异。Pearson相关性显示，体重变化与使用任何应用程序组件的天数百分比（手机：r=-0.213;个人教练：r=-0.319），每天使用的应用程序数量（手机：r=-0.264;个人教练：r=-0.308）以及自我称重的天数百分比（手机：r=-0.297;个人教练：r=-0.354）之间呈负相关。没有一个特征，包括年龄，性别，种族，教育，收入，能量消耗，饮食质量和高血压状况，似乎与参与有关。参与城市干预与前6个月的体重减轻有关。然而，大多数干预措施的参与率在早期大幅下降。一开始的时候可能会有帮助。在干预的不同阶段，可能需要更灵活、侵入性更小的提示策略，以增加或维持参与度。未来的研究应探讨参与和不参与的动机，以确定有效干预所需的有意义的参与水平。ClinicalTrials.gov NCT 01092364; https://clinicaltrials.gov/ct2/show/NCT01092364（由WebCite存档，网址为http：//www.webcitation.org/72V8A4e5X）
Understanding how engagement in mobile health (mHealth) weight loss interventions relates to weight change may help develop effective intervention strategies. This study aims to examine the (1) patterns of participant engagement overall and with key intervention components within each intervention arm in the Cell Phone Intervention For You (CITY) trial; (2) associations of engagement with weight change; and (3) participant characteristics related to engagement. The CITY trial tested two 24-month weight loss interventions. One was delivered with a smartphone app (cell phone) containing 24 components (weight tracking, etc) and included prompting by the app in predetermined frequency and forms. The other was delivered by a coach via monthly calls (personal coaching) supplemented with limited app components (18 overall) and without any prompting by the app. Engagement was assessed by calculating the percentage of days each app component was used and the frequency of use. Engagement was also examined across 4 weight change categories: gained (≥2%), stable (±2%), mild loss (≥2% to <5%), and greater loss (≥5%). Data from 122 cell phone and 120 personal coaching participants were analyzed. Use of the app was the highest during month 1 for both arms; thereafter, use dropped substantially and continuously until the study end. During the first 6 months, the mean percentage of days that any app component was used was higher for the cell phone arm (74.2%, SD 20.1) than for the personal coaching arm (48.9%, SD 22.4). The cell phone arm used the apps an average of 5.3 times/day (SD 3.1), whereas the personal coaching participants used them 1.7 times/day (SD 1.2). Similarly, the former self-weighed more than the latter (57.1% days, SD 23.7 vs 32.9% days, SD 23.3). Furthermore, the percentage of days any app component was used, number of app uses per day, and percentage of days self-weighed all showed significant differences across the 4 weight categories for both arms. Pearson correlation showed a negative association between weight change and the percentage of days any app component was used (cell phone: r=−.213; personal coaching: r=−.319), number of apps use per day (cell phone: r=−.264; personal coaching: r=−.308), and percentage of days self-weighed (cell phone: r=−.297; personal coaching: r=−.354). None of the characteristics examined, including age, gender, race, education, income, energy expenditure, diet quality, and hypertension status, appeared to be related to engagement. Engagement in CITY intervention was associated with weight loss during the first 6 months. Nevertheless, engagement dropped substantially early on for most intervention components. Prompting may be helpful initially. More flexible and less intrusive prompting strategies may be needed during different stages of an intervention to increase or sustain engagement. Future studies should explore the motivations for engagement and nonengagement to determine meaningful levels of engagement required for effective intervention. ClinicalTrials.gov NCT01092364; https://clinicaltrials.gov/ct2/show/NCT01092364 (Archived by WebCite at http://www.webcitation.org/72V8A4e5X)
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影响因子：
5.8
作者：
Ebbert, Jon O.;Elrashidi, Muhamad Y.;Jensen, Michael D.
通讯作者：
Jensen, Michael D.
DOI：
10.1016/j.jand.2014.12.011
发表时间：
2015-04-01
影响因子：
4.8
作者：
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影响因子：
5.5
作者：
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通讯作者：
Ewing, Linda J.
DOI：
10.1002/oby.21226
发表时间：
2015-11
期刊：
Obesity (Silver Spring, Md.)
影响因子：
--
作者：
Svetkey LP;Batch BC;Lin PH;Intille SS;Corsino L;Tyson CC;Bosworth HB;Grambow SC;Voils C;Loria C;Gallis JA;Schwager J;Bennett GG
通讯作者：
Bennett GG
DOI：
10.1177/1557988317701783
发表时间：
2017-07
期刊：
American journal of men's health
影响因子：
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作者：
Aguiar EJ;Morgan PJ;Collins CE;Plotnikoff RC;Young MD;Callister R
通讯作者：
Callister R