IoT-Based Smart-Toilet and Mobile App for Passively Quantifying Objective Urinary Biomarkers of Dietary Intake and Personalizing Nutrition Guidance

基于物联网的智能厕所和移动应用程序,用于被动量化膳食摄入的客观尿液生物标志物和个性化营养指导

基本信息

  • 批准号:
    10045761
  • 负责人:
  • 金额:
    $ 5.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-07-15 至 2021-06-30
  • 项目状态:
    已结题

项目摘要

According to the American Heart Association (AHA), roughly 46% of the U.S. adult population suffers from high blood pressure (hypertension). Hypertension is a modifiable risk factor for heart disease, stroke, and renal failure. It has been estimated that improving preventative clinical care for hypertension, compared to all other preventative health measures, would prevent the largest number of deaths in the U.S. In addition to high morbidity and mortality, hypertension exhibits a major economic burden on the U.S. healthcare system. Hypertension is the costliest of all cardiovascular diseases, inflicting an estimated $131B annually. Guidelines recommend “healthy lifestyle interventions,” including a healthier diet and a reduction in dietary sodium intake, before starting pharmaceutical interventions. Current methods for monitoring compliance rely on burdensome and inaccurate methods. The 24-hour recall possesses well-established inaccuracies and individuals tend to do a poor job of estimating the salt content of foods. Roughly a third of American adults are actively trying to lower their dietary sodium intake. However, few meet this goal. When surveyed as to why it is difficult to maintain a low sodium diet, individuals report the lack of dietary feedback mechanisms as one of the most significant barriers. Medications are typically prescribed next, but nearly 50% of patients stop taking medications within 6-12 months. As to why this happens, survey’s show most hypertensives want to avoid side-effects and taking a pill forever. In addition to value for the physician for monitoring compliance to lifestyle interventions, self-monitoring provides significant value for the patient. Self-monitoring improves self-efficacy and has routinely demonstrated its ability to lead to better dietary and other lifestyle behavior change outcomes. For example, a 2018 study demonstrated urinary sodium tracking helped a Japanese cohort decrease sodium intake and reduce systolic blood pressure in a randomized trial. Even this modest degree of sodium reduction (1 g) would “result in large declines in annual rates of cardiovascular events and deaths (with new cases of CHD declining by 20,000 to 40,000, new and recurrent cases of myocardial infarction by 18,000 to 35,000, new cases of stroke by 11,000 to 23,000, and deaths from any cause by 15,000 to 32,000)” and save billions in healthcare costs.
根据美国心脏协会 (AHA) 的数据,大约 46% 的美国成年人 人口患有高血压(高血压)。高血压是一种可改变的风险 心脏病、中风和肾衰竭的因素。据估计,加强预防 与所有其他预防性健康措施相比,高血压的临床护理可以预防 美国死亡人数最多 除了发病率和死亡率高之外,高血压 给美国医疗保健系统带来了重大的经济负担。高血压是最昂贵的 所有心血管疾病,每年造成估计 $131B 的损失。 指南建议“健康的生活方式干预措施”,包括更健康的饮食和 在开始药物干预之前减少膳食钠摄入量。目前的方法 监测合规性依赖于繁琐且不准确的方法。 24小时召回 具有明显的不准确性,个人在估计盐分方面往往做得很差 食物的含量。大约三分之一的美国成年人正在积极尝试减少饮食 钠的摄入量。然而,很少有人能够实现这一目标。当调查为什么难以维护时 低钠饮食中,人们报告称缺乏饮食反馈机制是最重要的原因之一 重大障碍。通常接下来会开药,但近 50% 的患者会停止用药 6-12 个月内服用药物。 至于为什么会发生这种情况,调查显示大多数 高血压患者希望避免副作用并永久服用药物。 除了对医生监测生活方式干预的依从性具有价值外, 自我监测为患者提供了重要的价值。自我监控提高自我效能 并经常证明其能够带来更好的饮食和其他生活方式行为 改变结果。例如,2018 年的一项研究表明尿钠追踪有助于 日本队列在一项随机试验中减少钠摄入量并降低收缩压。 即使是这种适度的钠减少(1克)也会“导致年率大幅下降” 心血管事件和死亡(冠心病新发病例减少 20,000 至 40,000 心肌梗死复发病例增加 18,000 至 35,000 例,中风新发病例增加 11,000 例 减少至 23,000 人,任何原因造成的死亡人数减少 15,000 至 32,000 人)”,并节省数十亿美元的医疗费用。

项目成果

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Brian Francis Bender其他文献

Brian Francis Bender的其他文献

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{{ truncateString('Brian Francis Bender', 18)}}的其他基金

Machine learning techniques for passive, remote monitoring of elderly heart failure patients from home
用于在家中被动远程监测老年心力衰竭患者的机器学习技术
  • 批准号:
    10187779
  • 财政年份:
    2021
  • 资助金额:
    $ 5.5万
  • 项目类别:

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