TY  - JOUR
AU  - Chikwetu, Lucy
AU  - Vakili, Parker
AU  - Takais, Andrew
AU  - Younes, Rabih
PY  - 2024
DA  - 2024/9/10
TI  - Central Hemodynamic and Thermoregulatory Responses to Food Intake as Potential Biomarkers for Eating Detection: Systematic Review
JO  - Interact J Med Res
SP  - e52167
VL  - 13
KW  - eating detection
KW  - eating moment recognition
KW  - postprandial physiological responses
KW  - postprandial physiology
KW  - eating
KW  - food
KW  - consumption
KW  - postprandial
KW  - hemodynamics prandial
KW  - thermoregulation
KW  - physiological
KW  - heart rate
KW  - vital
KW  - vitals
KW  - wearable
KW  - wearables
KW  - thermoregulatory hemodynamic
KW  - biomarker
KW  - biomarkers
KW  - diet
KW  - dietary
KW  - monitoring
KW  - detect
KW  - detection
KW  - detecting
KW  - synthesis
KW  - review methods
KW  - review methodology
KW  - systematic
KW  - sensor
KW  - sensors
KW  - digital health
AB  - 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. Trial Registration: PROSPERO CRD42022360600; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=360600 
SN  - 1929-073X
UR  - https://www.i-jmr.org/2024/1/e52167
UR  - https://doi.org/10.2196/52167
DO  - 10.2196/52167
ID  - info:doi/10.2196/52167
ER  -