Improving Self-Monitoring in Weight Loss with Technology

利用技术改善减肥的自我监控

基本信息

项目摘要

DESCRIPTION (provided by applicant): The prevalence of obesity, a major chronic health problem that is an independent risk factor for coronary heart disease (CHD), continues to increase at an alarming rate. Although weight control research has significantly improved short-term treatment success, long-term weight loss maintenance has lagged behind. Research has demonstrated a consistent relationship between self-monitoring eating and physical activity habits and success in weight loss as well as in maintenance of weight loss. However, the methods primarily used for self-monitoring continue to be the paper diary (PD), which is time consuming and burdensome. Moreover, PDs do not permit immediate external feedback to support and motivate the individual. Emerging technologies could improve self monitoring and weight loss treatment. However, the use of these technological advances, such as a personal digital assistant (PDA), has not been studied in weight loss treatment. The primary aim of this behavioral weight loss treatment study is to determine if self-monitoring of daily eating and physical activity habits using a PDA, with or without a tailored feedback intervention, is superior to using a PD in terms of promoting and maintaining short and long-term weight loss. Secondary aims include comparing the effect of treatment group assignment on adherence to self-monitoring and on risk factors for CHD (lipids, glucose, insulin, C-reactive protein). We propose to enroll 198 subjects and randomize them to one of three treatment groups that will use different methods to self monitor eating and physical activity habits: (1) use of the traditional PD with delayed written feedback, (2) use of a PDA with limited feedback on daily targets, or (3) use of a PDA with limited feedback on daily targets plus receive daily, subject-tailored feedback messages via the PDA. The proposed study includes prolonged (24 months) supervision of self-management with three important components: self-monitoring, feedback, and ongoing contact. Subjects will complete assessments at baseline, 6, 12, 18, and 24 months. This innovative study will provide information on the efficacy of combining technological advances with proven behavioral strategies.
描述(由申请人提供):肥胖症的普遍性,这是一个主要的慢性健康问题,是冠心病(CHD)的独立危险因素(CHD),以惊人的速度继续增加。尽管体重控制研究已显着改善了短期治疗的成功,但长期体重减轻的维持却落后了。研究表明,自我监控饮食与体育锻炼习惯与成功之间的关系是一致的 体重减轻以及减肥的维持。但是,主要用于自我监控的方法仍然是纸质日记(PD),这是耗时且繁重的。此外,PD不允许立即提供外部反馈来支持和激励个人。新兴技术可以改善自我监测和减肥治疗。但是,尚未在减肥治疗中使用这些技术进步的使用,例如个人数字助理(PDA)。这项行为减肥治疗研究的主要目的是确定使用PDA对日常饮食和体育锻炼习惯的自我监控(无论是否有量身定制的反馈干预)在促进和维持短期和长期体重减轻方面都优于使用PD。次要目的包括比较治疗组分配对自我监控和冠心病风险因素(脂质,葡萄糖,胰岛素,C-反应蛋白)的影响。我们建议 要注册198个受试者并将其随机分配给三个治疗组之一,这些治疗组将使用不同的方法来自我监测饮食和体育锻炼习惯:(1)使用传统的PD并使用延迟的书面反馈,(2)使用PDA,对每日目标的反馈有限,或(3)对PDA的反馈有限,对PDA使用PDA,对每日目标和受试者每日收到的反馈有限的反馈以及受试者封装的反馈信息有限。拟议的研究包括长时间(24个月)对自我管理的监督,这些自我管理具有三个重要组成部分:自我监控,反馈和持续的接触。受试者将在基线,6、12、18和24个月完成评估。这项创新的研究将提供有关将技术进步与可靠的行为策略相结合的功效的信息。

项目成果

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LORA Emilie BURKE其他文献

LORA Emilie BURKE的其他文献

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{{ truncateString('LORA Emilie BURKE', 18)}}的其他基金

Promoting Lifestyle Change via Tailored mHealth to Improve Health
通过定制移动医疗促进生活方式改变以改善健康
  • 批准号:
    9923745
  • 财政年份:
    2017
  • 资助金额:
    $ 50.19万
  • 项目类别:
Promoting Lifestyle Change via Tailored mHealth To Improve Health, HL131583
通过定制移动医疗促进生活方式改变以改善健康,HL131583
  • 批准号:
    9763184
  • 财政年份:
    2017
  • 资助金额:
    $ 50.19万
  • 项目类别:
Real Time Data Collection with Adaptive Sampling and Innovative Technologies
利用自适应采样和创新技术进行实时数据收集
  • 批准号:
    8258236
  • 财政年份:
    2011
  • 资助金额:
    $ 50.19万
  • 项目类别:
Real Time Data Collection with Adaptive Sampling and Innovative Technologies
利用自适应采样和创新技术进行实时数据收集
  • 批准号:
    8461227
  • 财政年份:
    2011
  • 资助金额:
    $ 50.19万
  • 项目类别:
Real Time Data Collection with Adaptive Sampling and Innovative Technologies
利用自适应采样和创新技术进行实时数据收集
  • 批准号:
    8676139
  • 财政年份:
    2011
  • 资助金额:
    $ 50.19万
  • 项目类别:
Advancing Real Time Data Collection: Adaptive Sampling and Innovative Technology
推进实时数据收集:自适应采样和创新技术
  • 批准号:
    8084935
  • 财政年份:
    2011
  • 资助金额:
    $ 50.19万
  • 项目类别:
Real Time Data Collection with Adaptive Sampling and Innovative Technologies
利用自适应采样和创新技术进行实时数据收集
  • 批准号:
    8645426
  • 财政年份:
    2011
  • 资助金额:
    $ 50.19万
  • 项目类别:
Improving Self-Monitoring in Weight Loss with Technology
利用技术改善减肥的自我监控
  • 批准号:
    8004323
  • 财政年份:
    2010
  • 资助金额:
    $ 50.19万
  • 项目类别:
Improving Self-Monitoring in Weight Loss with Technology
利用技术改善减肥的自我监控
  • 批准号:
    7850215
  • 财政年份:
    2009
  • 资助金额:
    $ 50.19万
  • 项目类别:
Long-term changes in weight and adipokines and the associations with genetic vari
体重和脂肪因子的长期变化及其与遗传变异的关系
  • 批准号:
    7447527
  • 财政年份:
    2008
  • 资助金额:
    $ 50.19万
  • 项目类别:

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腰痛的行为干预
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利用技术改善减肥的自我监控
  • 批准号:
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