Sarah J. Kaden
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Sarah J. Kaden has a total of 25 co-authors. Here are the top co-authors by number of shared publications:
- Briana Rosenberg
Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
2 shared publications - Catherine Stanger
Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College
2 shared publications - Elaine T. Kiriakopoulos
Departments of Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth College, Hanover, NH, USA; Department of Neurology, Dartmouth Hitchcock Medical Center, Lebanon, NH, USA
2 shared publications - Haiyi Xie
Dartmouth Medical School, Lebanon, New Hampshire, USA
2 shared publications - Inbal Nahum-Shani
University of Michigan
2 shared publications - Molly A. B. Anderson
Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
2 shared publications
Latest Publications
- Open Access
- 21 February 2026
- Published by Elsevier in Epilepsy & Behavior
- Vol. 178, 110964
Understanding Participant-Perceived growth and misalignment in an online epilepsy stigma Self-Management Program: A qualitative study
- 21 February 2026
- Published by Elsevier in Epilepsy & Behavior
- Vol. 178, 110964
Open AccessUnderstanding Participant-Perceived growth and misalignment in an online epilepsy stigma Self-Management Program: A qualitative study
- Open Access
- 6 January 2026
- Published by Elsevier in Epilepsy & Behavior
- Vol. 176, 110865
Increasing capacity for epilepsy self‐management via a hub and spoke implementation model: Clinician perspectives from epilepsy centers in the United States
- 6 January 2026
- Published by Elsevier in Epilepsy & Behavior
- Vol. 176, 110865
Open AccessIncreasing capacity for epilepsy self‐management via a hub and spoke implementation model: Clinician perspectives from epilepsy centers in the United States
- 28 September 2022
- Published by Taylor & Francis in Journal of American College Health
- Vol. 72 (8) , 2668-2675
Momentary fluctuations in emotional intelligence and stress predict changes in disordered eating
Objective: Low emotional intelligence and symptoms of disordered eating are connected, however, whether daily fluctuations in emotional intelligence predict daily changes in disordered eating symptoms has not been examined, nor has stress been explored as a potential moderator of this relationship. Participants: Participants were undergraduate students (n = 100). Methods: Participants completed baseline questionnaires, then responded to random ecological momentary assessment prompts 3 times daily for 2 weeks. Results: Results indicated that when individuals had higher momentary emotional intelligence, they had lower disordered eating at the same time point (within subjects estimate = −0.30, p < .001) and following time point (within subjects estimate = −0.08, p = 0.03). Momentary stress moderated the relationship between baseline emotional intelligence and momentary disordered eating (b = −0.02, p < .01). Conclusions: Changes in emotional intelligence predict day-to-day changes in disordered eating, and stress moderates the connection between emotional intelligence and disordered eating.
- 28 September 2022
- Published by Taylor & Francis in Journal of American College Health
- Vol. 72 (8) , 2668-2675
Momentary fluctuations in emotional intelligence and stress predict changes in disordered eating
Objective: Low emotional intelligence and symptoms of disordered eating are connected, however, whether daily fluctuations in emotional intelligence predict daily changes in disordered eating symptoms has not been examined, nor has stress been explored as a potential moderator of this relationship. Participants: Participants were undergraduate students (n = 100). Methods: Participants completed baseline questionnaires, then responded to random ecological momentary assessment prompts 3 times daily for 2 weeks. Results: Results indicated that when individuals had higher momentary emotional intelligence, they had lower disordered eating at the same time point (within subjects estimate = −0.30, p < .001) and following time point (within subjects estimate = −0.08, p = 0.03). Momentary stress moderated the relationship between baseline emotional intelligence and momentary disordered eating (b = −0.02, p < .01). Conclusions: Changes in emotional intelligence predict day-to-day changes in disordered eating, and stress moderates the connection between emotional intelligence and disordered eating.
- Open Access
- 23 February 2021
- Published by JMIR Publications Inc. in JMIR Research Protocols
- Vol. 10 (2) , e27109
A Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial
Background: Many young adults with type 1 diabetes (T1D) struggle with the complex daily demands of adherence to their medical regimen and fail to achieve target range glycemic control. Few interventions, however, have been developed specifically for this age group. Objective: In this randomized trial, we will provide a mobile app (SweetGoals) to all participants as a “core” intervention. The app prompts participants to upload data from their diabetes devices weekly to a device-agnostic uploader (Glooko), automatically retrieves uploaded data, assesses daily and weekly self-management goals, and generates feedback messages about goal attainment. Further, the trial will test two unique intervention components: (1) incentives to promote consistent daily adherence to goals, and (2) web health coaching to teach effective problem solving focused on personalized barriers to self-management. We will use a novel digital direct-to-patient recruitment method and intervention delivery model that transcends the clinic. Methods: A 2x2 factorial randomized trial will be conducted with 300 young adults ages 19-25 with type 1 diabetes and (Hb)A1c ≥ 8.0%. All participants will receive the SweetGoals app that tracks and provides feedback about two adherence targets: (a) daily glucose monitoring; and (b) mealtime behaviors. Participants will be randomized to the factorial combination of incentives and health coaching. The intervention will last 6 months. The primary outcome will be reduction in A1c. Secondary outcomes include self-regulation mechanisms in longitudinal mediation models and engagement metrics as a predictor of outcomes. Participants will complete 6- and 12-month follow-up assessments. We hypothesize greater sustained A1c improvements in participants who receive coaching and who receive incentives compared to those who do not receive those components. Results: Data collection is expected to be complete by February 2025. Analyses of primary and secondary outcomes are expected by December 2025. Conclusions: Successful completion of these aims will support dissemination and effectiveness studies of this intervention that seeks to improve glycemic control in this high-risk and understudied population of young adults with T1D. Trial Registration: ClinicalTrials.gov NCT04646473; https://clinicaltrials.gov/ct2/show/NCT04646473 International Registered Report Identifier (IRRID): PRR1-10.2196/27109
- 23 February 2021
- Published by JMIR Publications Inc. in JMIR Research Protocols
- Vol. 10 (2) , e27109
Open AccessA Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial
Background: Many young adults with type 1 diabetes (T1D) struggle with the complex daily demands of adherence to their medical regimen and fail to achieve target range glycemic control. Few interventions, however, have been developed specifically for this age group. Objective: In this randomized trial, we will provide a mobile app (SweetGoals) to all participants as a “core” intervention. The app prompts participants to upload data from their diabetes devices weekly to a device-agnostic uploader (Glooko), automatically retrieves uploaded data, assesses daily and weekly self-management goals, and generates feedback messages about goal attainment. Further, the trial will test two unique intervention components: (1) incentives to promote consistent daily adherence to goals, and (2) web health coaching to teach effective problem solving focused on personalized barriers to self-management. We will use a novel digital direct-to-patient recruitment method and intervention delivery model that transcends the clinic. Methods: A 2x2 factorial randomized trial will be conducted with 300 young adults ages 19-25 with type 1 diabetes and (Hb)A1c ≥ 8.0%. All participants will receive the SweetGoals app that tracks and provides feedback about two adherence targets: (a) daily glucose monitoring; and (b) mealtime behaviors. Participants will be randomized to the factorial combination of incentives and health coaching. The intervention will last 6 months. The primary outcome will be reduction in A1c. Secondary outcomes include self-regulation mechanisms in longitudinal mediation models and engagement metrics as a predictor of outcomes. Participants will complete 6- and 12-month follow-up assessments. We hypothesize greater sustained A1c improvements in participants who receive coaching and who receive incentives compared to those who do not receive those components. Results: Data collection is expected to be complete by February 2025. Analyses of primary and secondary outcomes are expected by December 2025. Conclusions: Successful completion of these aims will support dissemination and effectiveness studies of this intervention that seeks to improve glycemic control in this high-risk and understudied population of young adults with T1D. Trial Registration: ClinicalTrials.gov NCT04646473; https://clinicaltrials.gov/ct2/show/NCT04646473 International Registered Report Identifier (IRRID): PRR1-10.2196/27109
- Open Access
- 11 January 2021
- Published by JMIR Publications Inc. in JMIR Preprints
A Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial (Preprint)
BACKGROUND Many young adults with type 1 diabetes (T1D) struggle with the complex daily demands of adherence to their medical regimen and fail to achieve target range glycemic control. Few interventions, however, have been developed specifically for this age group. OBJECTIVE In this randomized trial, we will provide a mobile app (SweetGoals) to all participants as a “core” intervention. The app prompts participants to upload data from their diabetes devices weekly to a device-agnostic uploader (Glooko), automatically retrieves uploaded data, assesses daily and weekly self-management goals, and generates feedback messages about goal attainment. Further, the trial will test two unique intervention components: (1) incentives to promote consistent daily adherence to goals, and (2) web health coaching to teach effective problem solving focused on personalized barriers to self-management. We will use a novel digital direct-to-patient recruitment method and intervention delivery model that transcends the clinic. METHODS A 2x2 factorial randomized trial will be conducted with 300 young adults ages 19-25 with type 1 diabetes and (Hb)A1c ≥ 8.0%. All participants will receive the SweetGoals app that tracks and provides feedback about two adherence targets: (a) daily glucose monitoring; and (b) mealtime behaviors. Participants will be randomized to the factorial combination of incentives and health coaching. The intervention will last 6 months. The primary outcome will be reduction in A1c. Secondary outcomes include self-regulation mechanisms in longitudinal mediation models and engagement metrics as a predictor of outcomes. Participants will complete 6- and 12-month follow-up assessments. We hypothesize greater sustained A1c improvements in participants who receive coaching and who receive incentives compared to those who do not receive those components. RESULTS Data collection is expected to be complete by February 2025. Analyses of primary and secondary outcomes are expected by December 2025. CONCLUSIONS Successful completion of these aims will support dissemination and effectiveness studies of this intervention that seeks to improve glycemic control in this high-risk and understudied population of young adults with T1D. CLINICALTRIAL ClinicalTrials.gov NCT04646473; https://clinicaltrials.gov/ct2/show/NCT04646473 INTERNATIONAL REGISTERED REPORT PRR1-10.2196/27109
- 11 January 2021
- Published by JMIR Publications Inc. in JMIR Preprints
Open AccessA Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial (Preprint)
BACKGROUND Many young adults with type 1 diabetes (T1D) struggle with the complex daily demands of adherence to their medical regimen and fail to achieve target range glycemic control. Few interventions, however, have been developed specifically for this age group. OBJECTIVE In this randomized trial, we will provide a mobile app (SweetGoals) to all participants as a “core” intervention. The app prompts participants to upload data from their diabetes devices weekly to a device-agnostic uploader (Glooko), automatically retrieves uploaded data, assesses daily and weekly self-management goals, and generates feedback messages about goal attainment. Further, the trial will test two unique intervention components: (1) incentives to promote consistent daily adherence to goals, and (2) web health coaching to teach effective problem solving focused on personalized barriers to self-management. We will use a novel digital direct-to-patient recruitment method and intervention delivery model that transcends the clinic. METHODS A 2x2 factorial randomized trial will be conducted with 300 young adults ages 19-25 with type 1 diabetes and (Hb)A1c ≥ 8.0%. All participants will receive the SweetGoals app that tracks and provides feedback about two adherence targets: (a) daily glucose monitoring; and (b) mealtime behaviors. Participants will be randomized to the factorial combination of incentives and health coaching. The intervention will last 6 months. The primary outcome will be reduction in A1c. Secondary outcomes include self-regulation mechanisms in longitudinal mediation models and engagement metrics as a predictor of outcomes. Participants will complete 6- and 12-month follow-up assessments. We hypothesize greater sustained A1c improvements in participants who receive coaching and who receive incentives compared to those who do not receive those components. RESULTS Data collection is expected to be complete by February 2025. Analyses of primary and secondary outcomes are expected by December 2025. CONCLUSIONS Successful completion of these aims will support dissemination and effectiveness studies of this intervention that seeks to improve glycemic control in this high-risk and understudied population of young adults with T1D. CLINICALTRIAL ClinicalTrials.gov NCT04646473; https://clinicaltrials.gov/ct2/show/NCT04646473 INTERNATIONAL REGISTERED REPORT PRR1-10.2196/27109