课题基金 / 基金详情

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

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
批准号:
10045761
负责人:
Brian Francis Bender
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
项目状态:
已结题
起止时间:
2019-07-15 至 2021-06-30

项目摘要

项目成果

Brian Francis Bender的其他基金

相似基金

相关文献

中文摘要
翻译
根据美国心脏协会(AHA)的数据,大约46%的美国成年人患有糖尿病
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Machine learning techniques for passive, remote monitoring of elderly heart failure patients from home
  • 批准号:
    10187779
  • 项目类别:
  • 资助金额:
    $22.5万
  • 财政年份:
    2021
  • 负责人:
    Brian Francis Bender
  • 依托单位:
海外基金