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):肥胖是一种主要的慢性健康问题,也是冠心病(CHD)的独立危险因素,其患病率继续以惊人的速度增加。尽管体重控制研究显着提高了短期治疗成功率,但长期减肥维持却落后了。研究表明,自我监控饮食和身体活动习惯与成功之间存在一致的关系。 减肥以及维持减肥。然而,主要用于自我监测的方法仍然是纸质日记(PD),既费时又费力。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。然而,这些技术进步(例如个人数字助理(PDA))的使用尚未在减肥治疗中进行研究。这项行为减肥治疗研究的主要目的是确定使用 PDA 对日常饮食和身体活动习惯进行自我监测(有或没有定制的反馈干预)在促进和维持短期和稳定体重方面是否优于使用 PD。长期减肥。次要目标包括比较治疗组分配对自我监测依从性和 CHD 危险因素(血脂、葡萄糖、胰岛素、C 反应蛋白)的影响。我们建议 招募 198 名受试者,并将他们随机分配到三个治疗组之一,这些治疗组将使用不同的方法自我监测饮食和身体活动习惯:(1) 使用带有延迟书面反馈的传统 PD,(2) 使用带有有限反馈的 PDA或 (3) 使用对每日目标提供有限反馈的 PDA,并通过 PDA 接收每日、针对主题的反馈消息。拟议的研究包括对自我管理的长期(24 个月)监督,包括三个重要组成部分:自我监督、反馈和持续联系。受试者将在基线、6、12、18 和 24 个月时完成评估。这项创新研究将提供有关将技术进步与经过验证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
  • 批准号:
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利用技术改善减肥的自我监控
  • 批准号:
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  • 批准号:
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