Objective Determination of Eating Occasion Timing: Combining Self-Report, Wrist Motion, and Continuous Glucose Monitoring to Detect Eating Occasions in Adults With Prediabetes and Obesity | Semantic Scholar (2024)

Several CGM-based approaches are promising for automatically detecting IA, however, response times need to be faster to enable JITAIs aimed at impacting acute IA.

The proposed probabilistic model identified significantly greater dawn phenomenon frequency than the traditional binary model across all three HbA1c sub-groups, indicating its potential to detect the dawn phenomenon earlier across diabetes risk categories.

Results indicate that vigorous wrist motion is a useful indicator for identifying the boundaries of eating activities, and that the method should prove useful in the continued development of body-worn sensor tools for monitoring energy intake.

A multi-modality study on eating recognition, using body-worn motion (head, wrists) and audio (earbud microphone) sensors for 12 participants finds now that a combination of sensing modalities (audio, motion) is needed; yet sensor placement (head vs. wrist) is not critical.

Preliminary data from daily living indicates that bites measured by the device are positively related to caloric intake illustrating the potential of the device to monitor energy intake.

Pending further validation, the personal lifestyle elements important for predicting individual glucose peaks were identified, providing a basis for personalized lifestyle advice and show promise in supporting the prevention and management of type 2 diabetes through personalized lifestyle recommendations.

This study found that a "grazing" temporal eating pattern was modestly but significantly associated with poorer diet quality and adiposity among women, after adjustment for covariates and energy misreporting.

This work develops new algorithms for semi-supervised hierarchical classification that enable higher accuracy when training on data with weak labels and presents the first results on automated classification of foods consumed in data collected from body-worn audio and motion sensors in free-living environments.

It is concluded that adults with overweight or obesity have prolonged eating windows (>14 h/d), and future trials should examine the contribution of a prolonged eating window on adiposity independent of energy intake.

BMI was the only consistent determinant of misreporting and should always be taken into account when assessing and correcting dietary intake, and the other determinants did not show a consistent association with misreporting of energy or nutrients.

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