Mason, Ashley E.

An online intervention comparing a very low-carbohydrate ketogenic diet and lifestyle recommendations versus a plate method diet in overweight individuals with type 2 diabetes: A randomized controlled trial

Saslow, L. R., Mason, A. E., Kim, S., Goldman, V., Ploutz-Snyder, R., Bayandorian, H., Daubenmier, J., Hecht, F. M., & Moskowitz, J. T. (2017) · Journal of Medical Internet Research

Diet and metabolism studiesDiabetes Management and Research

Cited by 265

Twelve-month outcomes of a randomized trial of a moderate-carbohydrate versus very low-carbohydrate diet in overweight adults with type 2 diabetes mellitus or prediabetes

Saslow, L. R., Daubenmier, J. J., Moskowitz, J. T., Kim, S., Murphy, E. J., Phinney, S. D., Ploutz-Snyder, R., Goldman, V., Cox, R. M., Mason, A. E., et al. (2017) · Nutrition & Diabetes

Diet and metabolism studiesDietary Effects on Health

Cited by 241

Feasibility of continuous fever monitoring using wearable devices

Smarr, B. L., Aschbacher, K., Fisher, S. M., Chowdhary, A., Dilchert, S., Puldon, K., Rao, A., Hecht, F. M., & Mason, A. E. (2020) · Scientific Reports

Non-Invasive Vital Sign MonitoringInfrared Thermography in Medicine

Cited by 133

Excessive sugar consumption may be a difficult habit to break: a view from the brain and body

Tryon, M. S., Stanhope, K. L., Epel, E. S., Mason, A. E., Brown, R., Medici, V., Havel, P. J., & Laugero, K. D. (2015) · The Journal of Clinical Endocrinology & Metabolism

Stress Responses and CortisolRegulation of Appetite and Obesity

Cited by 128

Reduced reward-driven eating accounts for the impact of a mindfulness-based diet and exercise intervention on weight loss: Data from the SHINE randomized controlled trial

Mason, A. E., Epel, E. S., Aschbacher, K., Lustig, R. H., Acree, M., Kristeller, J., Cohn, M., Dallman, M., Moran, P. J., Bacchetti, P., et al. (2016) · Appetite

Mindfulness and Compassion InterventionsEating Disorders and Behaviors

Cited by 125

Testing a mobile mindful eating intervention targeting craving-related eating: feasibility and proof of concept

Mason, A. E., Jhaveri, K., Cohn, M., & Brewer, J. A. (2018) · Journal of Behavioral Medicine

Eating Disorders and BehaviorsNutrition, Health and Food Behavior

Cited by 106

Can mindfulness address maladaptive eating behaviors? Why traditional diet plans fail and how new mechanistic insights may lead to novel interventions

Brewer, J. A., Ruf, A., Beccia, A. L., Essien, G. I., Finn, L. M., Lutterveld, R. V., & Mason, A. E. (2018) · Frontiers in Psychology

Eating Disorders and BehaviorsNutrition, Health and Food Behavior

Cited by 82

Elevated body temperature is associated with depressive symptoms: results from the TemPredict Study

Mason, A. E., Kasl, P., Soltani, S., Green, A., Hartogensis, W., Dilchert, S., Chowdhary, A., Pandya, L. S., Siwik, C. J., Foster, S. L., et al. (2024) · Scientific Reports

Circadian rhythm and melatoninMental Health Research Topics

Cited by 31

A Randomized Controlled Trial of a Mindfulness-Based Weight Loss Intervention on Cardiovascular Reactivity to Social-Evaluative Threat Among Adults with Obesity

Daubenmier, J., Epel, E. S., Moran, P. J., Thompson, J., Mason, A. E., Acree, M., Goldman, V., Kristeller, J., Hecht, F. M., & Mendes, W. B. (2019) · Mindfulness

Mindfulness and Compassion InterventionsHeart Rate Variability and Autonomic Control

Cited by 27

Impact of a Mindfulness-Based Weight-Loss Intervention on Sleep Quality Among Adults with Obesity: Data from the SHINE Randomized Controlled Trial

Adler, E., Dhruva, A., Moran, P. J., Daubenmier, J., Acree, M., Epel, E. S., Bacchetti, P., Prather, A. A., Mason, A., & Hecht, F. M. (2017) · The Journal of Alternative and Complementary Medicine

Mindfulness and Compassion InterventionsSleep and related disorders

Cited by 22

Do Stress Eating or Compulsive Eating Influence Metabolic Health in a Mindfulness-Based Weight Loss Intervention

Radin, R. M., Epel, E. S., Daubenmier, J., Moran, P., Schleicher, S., Kristeller, J., Hecht, F. M., & Mason, A. E. (2020) · Health Psychology

Eating Disorders and BehaviorsNutrition, Health and Food Behavior

Cited by 20

Five million nights: temporal dynamics in human sleep phenotypes

Viswanath, V. K., Hartogenesis, W., Dilchert, S., Pandya, L., Hecht, F. M., Mason, A. E., Wang, E. J., & Smarr, B. L. (2024) · npj Digital Medicine

Sleep and related disordersCircadian rhythm and melatonin

Cited by 20

Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach

Kasl, P., Keeler Bruce, L., Hartogensis, W., Dasgupta, S., Pandya, L. S., Dilchert, S., Hecht, F. M., Gupta, A., Altintas, I., Mason, A. E., et al. (2024) · Sensors

Data-Driven Disease SurveillanceNon-Invasive Vital Sign Monitoring

Cited by 13

Effects of a Mindfulness-Based Weight Loss Intervention on Long-term Psychological Well-being Among Adults with Obesity: Secondary Analyses from the Supporting Health by Integrating Nutrition and Exercise (SHINE) Trial

Hooker, A. R., Sagui-Henson, S. J., Daubenmier, J., Moran, P. J., Hartogensis, W., Acree, M., Kristeller, J., Epel, E. S., Mason, A. E., & Hecht, F. M. (2022) · Mindfulness

Mindfulness and Compassion InterventionsPsychological Well-being and Life Satisfaction

Cited by 6

Testing the Impact of Intensive, Longitudinal Sampling on Assessments of Statistical Power and Effect Size Within a Heterogeneous Human Population: Natural Experiment Using Change in Heart Rate on Weekends as a Surrogate Intervention

Soltani, S., Viswanath, V. K., Kasl, P., Hartogensis, W., Dilchert, S., Hecht, F. M., Mason, A. E., & Smarr, B. L. (2025) · Journal of Medical Internet Research

Statistical Methods and Bayesian InferenceMental Health Research Topics

Cited by 3

Sleep and temperature data from wearable devices support noninvasive detection of diabetes mellitus in a large-scale, retrospective analysis

Viswanath, V. K., Navaneethan, S., Burks, J. H., Soltani, S., Kasl, P., Hartogensis, W., Dilchert, S., Hecht, F. M., Mason, A. E., Wang, E. J., et al. (2026) · Communications Medicine

Diabetes Management and ResearchArtificial Intelligence in Healthcare

Cited by 0