Caleb Mayer
YOU?
Author Swipe
View article: High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes
High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes Open
Distinct metabolic susceptibilities (beta-cell dysfunction, insulin resistance (IR), and impaired incretin response) underlie type 2 diabetes (T2D). However, their relationships with habitual lifestyle behaviors are underexplored. This stu…
View article: A circadian and app-based personalized lighting intervention for the reduction of cancer-related fatigue
A circadian and app-based personalized lighting intervention for the reduction of cancer-related fatigue Open
Lighting interventions can mitigate fatigue by promoting circadian rhythmicity. We test whether individualized, wearable-based lighting interventions delivered via a mobile app reduce cancer-related fatigue in a randomized controlled trial…
View article: Lifestyle Profiling Using Wearables and Prediction of Glucose Metabolism in Individuals with Normoglycemia or Prediabetes
Lifestyle Profiling Using Wearables and Prediction of Glucose Metabolism in Individuals with Normoglycemia or Prediabetes Open
This study examined the relationship between lifestyles (diet, sleep, and physical activity) and glucose responses at a personal level. 36 healthy adults in the Bay Area were monitored for their lifestyles and glucose levels using wearable…
View article: Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data
Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data Open
Laboratory studies have made unprecedented progress in understanding circadian physiology. Quantifying circadian rhythms outside of laboratory settings is necessary to translate these findings into real-world clinical practice. Wearables h…
View article: ALSM_version_1_01-25-2023_v2.zip from Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data
ALSM_version_1_01-25-2023_v2.zip from Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data Open
Computer codes of the ALSM
View article: Mathematical Modeling of Circadian Rhythms from Wearable Data across Populations and Health Conditions
Mathematical Modeling of Circadian Rhythms from Wearable Data across Populations and Health Conditions Open
A variety of models that capture the human circadian clock on a macroscopic level exist in the literature, and have been used effectively in predicting circadian phase for relatively normal or healthy subjects. Applying these models to mor…
View article: ALSM_version_1_01-25-2023_v2.zip from Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data
ALSM_version_1_01-25-2023_v2.zip from Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data Open
Computer codes of the ALSM
View article: Distinct Circadian Assessments From Wearable Data Reveal Social Distancing Promoted Internal Desynchrony Between Circadian Markers
Distinct Circadian Assessments From Wearable Data Reveal Social Distancing Promoted Internal Desynchrony Between Circadian Markers Open
Mobile measures of human circadian rhythms (CR) are needed in the age of chronotherapy. Two wearable measures of CR have recently been validated: one that uses heart rate to extract circadian rhythms that originate in the sinoatrial node o…
View article: Monitoring Beliefs and Physiological Measures Using Wearable Sensors and Smartphone Technology Among Students at Risk of COVID-19: Protocol for a mHealth Study
Monitoring Beliefs and Physiological Measures Using Wearable Sensors and Smartphone Technology Among Students at Risk of COVID-19: Protocol for a mHealth Study Open
Background The COVID-19 pandemic has significantly impacted lives and greatly affected the mental health and public safety of an already vulnerable population—college students. Social distancing and isolation measures have presented challe…
View article: Predicting circadian phase across populations: a comparison of mathematical models and wearable devices
Predicting circadian phase across populations: a comparison of mathematical models and wearable devices Open
From smart work scheduling to optimal drug timing, there is enormous potential in translating circadian rhythms research results for precision medicine in the real world. However, the pursuit of such effort requires the ability to accurate…
View article: Monitoring Beliefs and Physiological Measures Using Wearable Sensors and Smartphone Technology Among Students at Risk of COVID-19: Protocol for a mHealth Study (Preprint)
Monitoring Beliefs and Physiological Measures Using Wearable Sensors and Smartphone Technology Among Students at Risk of COVID-19: Protocol for a mHealth Study (Preprint) Open
BACKGROUND The COVID-19 pandemic has significantly impacted lives and greatly affected the mental health and public safety of an already vulnerable population—college students. Social distancing and isolation measures have presented chall…
View article: Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology: Protocol for an Observational mHealth Study
Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology: Protocol for an Observational mHealth Study Open
Background Health care workers (HCWs) have been working on the front lines of the COVID-19 pandemic with high risks of viral exposure, infection, and transmission. Standard COVID-19 testing is insufficient to protect HCWs from these risks …
View article: Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology: Protocol for an Observational mHealth Study (Preprint)
Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology: Protocol for an Observational mHealth Study (Preprint) Open
BACKGROUND Health care workers (HCWs) have been working on the front lines of the COVID-19 pandemic with high risks of viral exposure, infection, and transmission. Standard COVID-19 testing is insufficient to protect HCWs from these risks…
View article: Traveling wave solutions for a cancer stem cell invasion model
Traveling wave solutions for a cancer stem cell invasion model Open
In this paper we analyze the dynamics of a cancer invasion model that incorporates the cancer stem cell hypothesis. In particular, we develop a model that includes a cancer stem cell subpopulation of tumor cells. Traveling wave analysis an…
View article: Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers
Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers Open
Study Objectives A critical barrier to successful treatment of circadian misalignment in shift workers is determining circadian phase in a clinical or field setting. Light and movement data collected passively from wrist actigraphy can gen…