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Stephanie P Goldstein

Showing results (21-30 of 53) with videos related to

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Journal of Technology in Behavioral Science|September 15, 2025
Differences in Self-Monitoring Technology Use and Perceptions Between National Weight Control Registry Participants Maintaining and Regaining WeightCarly M Goldstein, Stephanie P Goldstein, Benjamin T Ladd, et al.
JMIR Research Protocols|December 7, 2021
Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized TrialStephanie P Goldstein, Fengqing Zhang, Predrag Klasnja, et al.
Appetite|April 18, 2017
Promising technological innovations in cognitive training to treat eating-related behaviorEvan M Forman, Stephanie P Goldstein, Daniel Flack, et al.
Journal of Technology in Behavioral Science|March 31, 2022
The Behavioral Intervention with Technology for E-Weight Loss Study (BITES): Incorporating Energy Balance Models and the Bite Counter into an Online Behavioral Weight Loss ProgramCarly M Goldstein, Stephanie P Goldstein, Diana M Thomas, et al.
Digital Health|August 23, 2024
The Fully Understanding Eating and Lifestyle Behaviors (FUEL) trial: Protocol for a cohort study harnessing digital health tools to phenotype dietary non-adherence behaviors during lifestyle interventionStephanie P Goldstein, Kevin M Mwenda, Adam W Hoover, et al.
PLOS Digital Health|August 23, 2024
Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention developmentOlga Perski, Dimitra Kale, Corinna Leppin, et al.
Journal of Diabetes Science and Technology|May 25, 2018
Application of Machine Learning to Predict Dietary Lapses During Weight LossStephanie P Goldstein, Fengqing Zhang, John G Thomas, et al.
JMIR Research Protocols|February 25, 2026
PATH Trial for Examining Yoga as a Strategy to Improve Remote-Based Weight Loss in Adults: Protocol for a Randomized Controlled TrialSelene Y Tobin, Sally Sherman, Beth Bock, et al.
Eating Behaviors|January 14, 2014
The discrepancy between implicit and explicit attitudes in predicting disinhibited eatingStephanie P Goldstein, Evan M Forman, Nachshon Meiran, et al.
International Journal of Behavioral Medicine|January 14, 2017
Return of the JITAI: Applying a Just-in-Time Adaptive Intervention Framework to the Development of m-Health Solutions for Addictive BehaviorsStephanie P Goldstein, Brittney C Evans, Daniel Flack, et al.
Pageof 6

Showing results (21-30 of 53) with videos related to

Sort By:
Pageof 6
Journal of Technology in Behavioral Science|September 15, 2025
Differences in Self-Monitoring Technology Use and Perceptions Between National Weight Control Registry Participants Maintaining and Regaining WeightCarly M Goldstein, Stephanie P Goldstein, Benjamin T Ladd, et al.
JMIR Research Protocols|December 7, 2021
Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized TrialStephanie P Goldstein, Fengqing Zhang, Predrag Klasnja, et al.
Appetite|April 18, 2017
Promising technological innovations in cognitive training to treat eating-related behaviorEvan M Forman, Stephanie P Goldstein, Daniel Flack, et al.
Journal of Technology in Behavioral Science|March 31, 2022
The Behavioral Intervention with Technology for E-Weight Loss Study (BITES): Incorporating Energy Balance Models and the Bite Counter into an Online Behavioral Weight Loss ProgramCarly M Goldstein, Stephanie P Goldstein, Diana M Thomas, et al.
Digital Health|August 23, 2024
The Fully Understanding Eating and Lifestyle Behaviors (FUEL) trial: Protocol for a cohort study harnessing digital health tools to phenotype dietary non-adherence behaviors during lifestyle interventionStephanie P Goldstein, Kevin M Mwenda, Adam W Hoover, et al.
PLOS Digital Health|August 23, 2024
Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention developmentOlga Perski, Dimitra Kale, Corinna Leppin, et al.
Journal of Diabetes Science and Technology|May 25, 2018
Application of Machine Learning to Predict Dietary Lapses During Weight LossStephanie P Goldstein, Fengqing Zhang, John G Thomas, et al.
JMIR Research Protocols|February 25, 2026
PATH Trial for Examining Yoga as a Strategy to Improve Remote-Based Weight Loss in Adults: Protocol for a Randomized Controlled TrialSelene Y Tobin, Sally Sherman, Beth Bock, et al.
Eating Behaviors|January 14, 2014
The discrepancy between implicit and explicit attitudes in predicting disinhibited eatingStephanie P Goldstein, Evan M Forman, Nachshon Meiran, et al.
International Journal of Behavioral Medicine|January 14, 2017
Return of the JITAI: Applying a Just-in-Time Adaptive Intervention Framework to the Development of m-Health Solutions for Addictive BehaviorsStephanie P Goldstein, Brittney C Evans, Daniel Flack, et al.
Pageof 6