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Obes Sci Pract. 2019 Dec 12;6(2):126-133. doi: 10.1002/osp4.391. eCollection 2020 Apr.
2
Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss Interventions.定义对移动饮食自我监测的依从性,并评估随时间的跟踪情况:在两项不同的移动健康随机减重干预中,每天至少跟踪两次进食情况是依从性的最佳标志物。
J Acad Nutr Diet. 2019 Sep;119(9):1516-1524. doi: 10.1016/j.jand.2019.03.012. Epub 2019 May 30.
3
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JMIR Mhealth Uhealth. 2019 Feb 28;7(2):e12209. doi: 10.2196/12209.
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Log Often, Lose More: Electronic Dietary Self-Monitoring for Weight Loss.经常记录,体重减轻更多:电子饮食自我监测有助于减肥。
Obesity (Silver Spring). 2019 Mar;27(3):380-384. doi: 10.1002/oby.22382.
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Why Do People Act Like the Proverbial Ostrich? Investigating the Reasons That People Provide for Not Monitoring Their Goal Progress.为什么人们表现得像谚语中的鸵鸟?探究人们不监测目标进展的原因。
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Overeat today, skip the scale tomorrow: An examination of caloric intake predicting nonadherence to daily self-weighing.今日暴饮暴食,明日不称体重:对预测不坚持每日自我称重的热量摄入情况的研究。
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体重相关信息回避前瞻性预测在行为体重减轻干预中自我监测和参与较差。

Weight-Related Information Avoidance Prospectively Predicts Poorer Self-Monitoring and Engagement in a Behavioral Weight Loss Intervention.

机构信息

Department of Psychiatry and Human Behavior, The Warren Alpert Medical School of Brown University, RI, USA.

Weight Control and Diabetes Research Center, The Miriam Hospital, Providence, RI, USA.

出版信息

Ann Behav Med. 2021 Mar 16;55(2):103-111. doi: 10.1093/abm/kaaa034.

DOI:10.1093/abm/kaaa034
PMID:32491152
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7962887/
Abstract

BACKGROUND

Self-monitoring is a key component of behavioral weight loss (BWL) interventions. Past research suggests that individuals may avoid self-monitoring in certain contexts (e.g., skipping self-weighing after higher-than-usual calorie intake). However, no studies have attempted to quantify individuals' inclination to avoid information about their weight control ("weight-related information avoidance"; WIA) or prospectively examined its implications for treatment engagement and outcomes in BWL programs.

PURPOSE

Characterize WIA using a validated questionnaire among adults enrolled in BWL treatment and examine whether WIA prospectively predicts self-monitoring adherence, session attendance, treatment discontinuation, or weight loss.

METHODS

Participants (N = 87; MBMI = 34.9 kg/m2, 83% female) completed a measure of WIA prior to starting a 12 week, group-based BWL intervention. Participants were given digital self-monitoring tools and instructed to self-monitor their food intake daily, physical activity daily, and body weight weekly (Weeks 1-10) and then daily (Weeks 11-12). Session attendance and treatment discontinuation were recorded. Weight was measured in-clinic pretreatment and posttreatment.

RESULTS

While mean WIA was low (M = 2.23, standard deviation [SD] = 0.95; potential scale range: 1-7), greater WIA predicted poorer attendance (r = -.23; p = .03) and poorer self-monitoring of physical activity (r = -.28; p = .009) and body weight (r = -.32; p = .003). WIA did not predict food monitoring (p = .08), treatment discontinuation (p = .09), or 12 week weight loss (p = .91).

CONCLUSIONS

Greater WIA, as assessed via a brief questionnaire, may place individuals at risk for poorer self-monitoring and treatment engagement during BWL. Further research on the implications of WIA in the context of weight management is warranted, including evaluation of correlates, moderators, and mechanisms of action of WIA.

CLINICAL TRIAL REGISTRATION

NCT03337139.

摘要

背景

自我监测是行为体重减轻(BWL)干预的关键组成部分。过去的研究表明,个体在某些情况下可能会避免自我监测(例如,在摄入高于平常的卡路里后跳过自我称重)。然而,尚无研究试图量化个体避免体重控制相关信息(“体重相关信息回避”;WIA)的倾向,也没有前瞻性地研究其对 BWL 计划中治疗参与和结果的影响。

目的

使用经过验证的问卷在参加 BWL 治疗的成年人中描述 WIA,并检查 WIA 是否前瞻性预测自我监测依从性、课程出勤率、治疗中断或体重减轻。

方法

参与者(N=87;MBMI=34.9kg/m2,83%为女性)在开始为期 12 周的基于小组的 BWL 干预之前完成了 WIA 测量。参与者获得了数字自我监测工具,并被指示每天自我监测食物摄入量、日常体力活动量和每周(第 1-10 周)和每天(第 11-12 周)的体重。记录课程出勤率和治疗中断情况。在治疗前和治疗后在诊所测量体重。

结果

尽管 WIA 的平均值较低(M=2.23,标准差[SD]=0.95;潜在量表范围:1-7),但较高的 WIA 预示着较差的出勤率(r=-.23;p=0.03)和较差的体力活动自我监测(r=-.28;p=0.009)和体重自我监测(r=-.32;p=0.003)。WIA 与食物监测(p=0.08)、治疗中断(p=0.09)或 12 周体重减轻(p=0.91)无关。

结论

通过简短的问卷评估,较高的 WIA 可能会使个体在 BWL 期间面临自我监测和治疗参与较差的风险。需要进一步研究 WIA 在体重管理中的意义,包括对 WIA 的相关性、调节因素和作用机制的评估。

临床试验注册

NCT03337139。