背景:饮食相关疾病,比如2型糖尿病,要求严格的饮食管理以减缓疾病进展,并呼吁创新的管理策略。传统的饮食监测给患者带来了巨大的记忆负担,他们可能不准确地记住他们的饮食细节,因此经常在预防疾病进展方面做得不够。传感器和计算技术的最新进展引起了人们对开发饮食检测平台的兴趣。
目的:这篇综述研究了中枢血流动力学和体温调节反应作为进食检测的潜在生物标志物。
方法:我们搜索了PubMed索引的同行评审文献,WebofScience,和Scopus在2022年6月20日,没有日期限制。我们还在同一数据库中进行了手动搜索,直到2024年4月21日。我们纳入了英文论文,证明了饮食对健康个体中枢血液动力学和体温调节的影响。评估整体研究质量,评估偏倚风险,我们设计了一个受Cochrane评估框架启发的定制工具。这个工具有4个类别:高,中等,低,而且很低。共有2名独立审稿人进行了标题和摘要筛选,全文回顾,并研究偏倚分析的质量和风险。在两位审稿人意见不一致的情况下,第三位审稿人担任评委。
结果:我们的搜索检索了11,450项研究,和25符合我们的纳入标准。在纳入的25项研究中,32%(8/25)被归类为高质量,52%(13/25)为中等质量,16%(4/25)为低质量。此外,我们在纳入的任何研究中均未发现发表偏倚的证据.餐后心率持续增加,心输出量,在调查这些变量对进食的反应的研究中,至少有95%(心率:19/19,心输出量:18/19,每搏输出量:11/11)观察到每搏输出量。具体来说,心输出量增加9%-100%,每搏输出量减少18%-41%,在这些研究中,心率下降了6%-21%。这些变化具有统计学意义(P<0.05)。相比之下,调查餐后体温调节效应的8项研究显示出严重不一致的结果,反应差异很大,没有明确的变化模式,表明这些研究之间存在高度的变异性。
结论:我们的研究结果表明,中枢血流动力学反应,尤其是心率,为可穿戴式饮食检测提供了希望,因为心输出量和每搏输出量无法通过任何当前可用的非侵入性医疗或消费级可穿戴设备进行测量。
背景:PROSPEROCRD42022360600;https://www.crd.约克。AC.uk/prospro/display_record.php?RecordID=360600。
BACKGROUND: Diet-related diseases, such as type 2 diabetes, require strict dietary management to slow down disease progression and call for innovative management strategies. Conventional
diet monitoring places a significant memory burden on patients, who may not accurately remember details of their meals and thus frequently falls short in preventing disease progression. Recent advances in sensor and computational technologies have sparked interest in developing eating detection platforms.
OBJECTIVE: This
review investigates central hemodynamic and thermoregulatory responses as potential biomarkers for eating detection.
METHODS: We searched peer-reviewed literature indexed in PubMed, Web of Science, and Scopus on June 20, 2022, with no date limits. We also conducted manual searches in the same databases until April 21, 2024. We included English-language papers demonstrating the impact of eating on central hemodynamics and thermoregulation in healthy individuals. To evaluate the overall study quality and assess the risk of bias, we designed a customized tool inspired by the Cochrane assessment framework. This tool has 4 categories: high, medium, low, and very low. A total of 2 independent reviewers conducted title and abstract screening, full-text
review, and study quality and risk of bias analysis. In instances of disagreement between the 2 reviewers, a third reviewer served as an adjudicator.
RESULTS: Our search retrieved 11,450 studies, and 25 met our inclusion criteria. Among the 25 included studies, 32% (8/25) were classified as high quality, 52% (13/25) as medium quality, and 16% (4/25) as low quality. Furthermore, we found no evidence of publication bias in any of the included studies. A consistent postprandial increase in heart rate, cardiac output, and stroke volume was observed in at least 95% (heart rate: 19/19, cardiac output: 18/19, stroke volume: 11/11) of the studies that investigated these variables\' responses to eating. Specifically, cardiac output increased by 9%-100%, stroke volume by 18%-41%, and heart rate by 6%-21% across these studies. These changes were statistically significant (P<.05). In contrast, the 8 studies that investigated postprandial thermoregulatory effects displayed grossly inconsistent results, showing wide variations in response with no clear patterns of change, indicating a high degree of variability among these studies.
CONCLUSIONS: Our findings demonstrate that central hemodynamic responses, particularly heart rate, hold promise for wearable-based eating detection, as cardiac output and stroke volume cannot be measured by any currently available noninvasive medical or consumer-grade wearables.
BACKGROUND: PROSPERO CRD42022360600; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=360600.