Stephanie Goldstein, PhD, is an Associate Professor (Research) at the Weight Control and Diabetes Research Center (WCDRC) of The Miriam Hospital and Alpert Medical School of Brown University. She earned her PhD in Clinical Psychology, with an emphasis on behavioral medicine, from Drexel University. Dr. Goldstein received high-quality training in obesity clinical research and cardiovascular behavioral medicine during her NHLBI-funded postdoctoral fellowship at the WCDRC & Alpert Medical School of Brown University. Her research focuses on electronic/mobile health (e/mHealth) approaches (e.g., ecological momentary assessment [EMA], sensor technology, just-in-time adaptive intervention [JITAI]) to assess and intervene on weight-related behaviors implicated in cardiovascular disease (CVD) risk, particularly eating. She specializes in using EMA administered via mobile phone to study dietary lapses (i.e., discrete instances of dietary non-adherence) and using JITAI to intervene on them. She has utilized EMA identify relevant environmental, cognitive, and physiological triggers for dietary lapses, and applied machine learning algorithms to these data to predict the real-time occurrence of dietary lapses before they occur. This algorithm informed a smartphone-based JITAI that predicts lapses and delivers intervention “just-in-time” when risk for lapse is high. The JITAI is now being optimized via a micro-randomized trial to examine the immediate effect of theory-driven interventions on lapse risk (R01 HL153543). She is also leading a project that utilizes micro-randomized trial design to evaluate the efficacy of several technology-enabled self-monitoring strategies within a behavioral obesity treatment (R01 DK136216). Given this expertise, has collaborated with other research teams employing micro-randomized trial design to develop and test digital interventions for eating behavior, heavy drinking, smoking cessation, and chronic pain.
Dr. Goldstein has augmented this work by combining EMA and a wrist-worn sensor to inform objective assessment of dietary lapses via real-time passive detection and characterization of eating (F32 HL143954), and is now applying real-time, multimodal assessment to uncover phenotypes of dietary non-adherence within and across individuals (R01DK132210). She is working in close collaboration with an engineer at Clemson University to validate wearable sensors (smartwatches and smart rings) for automatically estimating energy intake during daily life (R01 DK135679). Dr. Goldstein has conducted and/or been substantially involved in numerous EMA studies across domains and has coordinated the development and pilot testing of 3 JITAIs that use EMA to collect information about behavior and deliver personalized intervention. Two of her studies focus on delivering behavioral obesity treatment to individuals with CVD risk factors such as hypertension and diabetes. She serves as a co-investigator on Bradley Hospital’s sleep and pediatric mental health COBRE (P20 GM139743) and Rhode Island Hospital's injury control COBRE (P20 GM139664), where she mentors researchers in incorporating technology into their research. She also serves as a mentor on the DPHB Cardiovascular Behavioral Medicine T32 postdoctoral fellowhip (T32 HL076134), and has co-mentored several mentored reserch awards (i.e., K awards, COBRE Research Project Leads) seeking to develop and evaluate just-in-time interventions.
Seminar Series presented at the Center for Digital Health: https://digitalhealth.med.brown.edu/news/2021-06-02/stephanie-goldstein
Lifespan Research Day: https://www.youtube.com/watch?v=NVPlmyMi44k
mDOT Health Hub Webinar: https://mhealthhub.org/video/harnessing-jitai/
