Lindsey N. Potter

Lindsey N. Potter, MPH, PhD

Languages spoken: English

Academic Information

Departments Primary - Population Health Sciences

Lab

Dr. Potter is an Assistant Professor in the Department of Population Health Sciences. Her research extends the use of novel methodological/technological approaches (e.g., wearable sensors, ecological momentary assessment [EMA]) to examine how interpersonal, intrapersonal, and contextual factors influence stress, health behaviors, and other indicators of health risk. Most notably, her mHealth research on real-time factors contributing to differences in tobacco cessation informs the development of Just-in-Time Adaptive Interventions (JITAIs) targeting risk for cancer and other chronic diseases.

Dr. Potter received her PhD in Biobehavioral Health from the Pennsylvania State University, where she was a NIDA T32 predoctoral fellow in the Prevention and Methodology Center Training program. Lindsey also has a Master’s degree in Public Health from Drexel University. She completed her postdoctoral training in the Department of Population Health Sciences and Center for HOPE at Huntsman Cancer Institute, where she was a scholar in the Center for Clinical and Translational Science TL1 program, and received a K99/R00 from the National Cancer Institute.

Research Statement

Dr. Potter is an Assistant Professor in the Department of Population Health Sciences. Her research extends the use of novel methodological/technological approaches (e.g., wearable sensors, ecological momentary assessment [EMA]) to examine how interpersonal, intrapersonal, and contextual factors influence stress, health behaviors, and other indicators of health risk. Most notably, her mHealth research on real-time factors contributing to differences in tobacco cessation informs the development of Just-in-Time Adaptive Interventions (JITAIs) targeting risk for cancer and other chronic diseases.

Dr. Potter received her PhD in Biobehavioral Health from the Pennsylvania State University, where she was a NIDA T32 predoctoral fellow in the Prevention and Methodology Center Training program. Lindsey also has a Master’s degree in Public Health from Drexel University. She completed her postdoctoral training in the Department of Population Health Sciences and Center for HOPE at Huntsman Cancer Institute, where she was a scholar in the Center for Clinical and Translational Science TL1 program, and received a K99/R00 from the National Cancer Institute.

Education History

Fellowship University of Utah School of Medicine
 Postdoctoral Fellow
Professional Medical Pennsylvania State University College of Health and Human Development
 PhD
Professional Medical Drexel University
 MPH
Undergraduate Pennsylvania State University
 BS

Selected Publications

Journal Article

  1. King AJ, Banks A, Hernndez LH, Thompson SS, Stevens L, Potter LN, Kaphingst KA, Estabrooks PA, Del Fiol G, Wetter DW, Schlechter CR (2026). An Acceptance Criteria Framework for Determining the Implementation Fit of Custom Large Language Models in Public Health Interventions. J Med Internet Res, 28, e92356.
  2. Yu Q, Potter LN, Yoon C, Yap JRT, Dziak JJ, Jones DR, Lam CY, Wetter DW, Nahum-Shani I (2026). Antecedents and consequences of different indicators of engagement with a digital intervention for tobacco cessation. NPJ Digit Med, 9(1).
  3. Zhang S, Dziak JJ, Benson L, Yap JRT, Jones DR, Lam CY, Potter LN, Wetter DW, Nahum-Shani I (2025). Missing data in microrandomized trials: Challenges and opportunities. Behav Res Methods, 57(12), 344.
  4. Abbott MR, Dempsey WH, Nahum-Shani I, Potter LN, Wetter DW, Lam CY, Taylor JMG (2024). A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data. Biometrics, 81(2).
  5. Potter LN, Jones DR, Schlechter CR, Lam CY, Nahum-Shani I, Fagundes CP, Wetter DW (2024). Momentary predictors of tobacco lapse among African Americans during a quit attempt. Addict Behav, 162, 108231.
  6. Jones DR, Potter LN, Lam CY, Nahum-Shani I, Fagundes C, Wetter DW (2024). Examining Bi-directional links between distinct affect states and tobacco lapse during a cessation attempt. Drug Alcohol Depend, 267, 112526.
  7. Potter LN, Jones DR, Braudt DB, Nahum-Shani I, Lam CY, Fagundes C, Wetter DW (2024). Correlates of nicotine patch adherence in daily life. Drug Alcohol Depend, 266, 112499.
  8. Abbott MR, Nahum-Shani I, Lam CY, Potter LN, Wetter DW, Dempsey WH (2024). A latent variable approach to jointly modeling longitudinal and cumulative event data using a weighted two-stage method. Stat Med, 43(21), 4163-4177.
  9. Jones DR, Potter LN, Lam CY, Schlechter CR, Nahum-Shani I, Fagundes C, Wetter DW (2024). Examining Links Between Distinct Affective States and Tobacco Lapse During a Cessation Attempt Among African Americans: A Cohort Study. Ann Behav Med, 58(7), 506-516.
  10. Ji L, Li Y, Potter LN, Lam CY, Nahum-Shani I, Wetter DW, Chow SM (2023). Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data. Front Digit Health, 5, 1099517.
  11. Potter LN, Yap J, Dempsey W, Wetter DW, Nahum-Shani I (2023). Integrating Intensive Longitudinal Data (ILD) to Inform the Development of Dynamic Theories of Behavior Change and Intervention Design: a Case Study of Scientific and Practical Considerations. Prev Sci, 24(8), 1659-1671.
  12. Potter, LN, Yap, J, Dempsey, WH, Wetter, DW, Nahum Shani, I (2023). Integrating intensive longitudinal data (ILD) to inform the development of Just in Time Adaptive Interventions (JITAIs): A case study of scientific and practical considerations. Prev Sci, 1-13.
  13. Potter LN, Schlechter CR, Nahum-Shani I, Lam CY, Cinciripini PM, Wetter DW (2023). Socio-economic status moderates within-person associations of risk factors and smoking lapse in daily life. Addiction, 118(5), 925-934.
  14. Sobolev M, Anand A, Dziak JJ, Potter LN, Lam CY, Wetter DW, Nahum-Shani I (2023). Time-varying model of engagement with digital self reporting: Evidence from smoking cessation longitudinal studies. Front Digit Health, 5, 1144081.
  15. Potter, LN, Schlechter, CR, Nahum Shani, I, Lam, CY, Cinciripini, PM, Wetter, DW (2023). Socioeconomic status moderates within-person associations of smoking lapse risk factors and lapse in daily life. Addiction, 118(5), 925-934.
  16. Sobolev, M, Anand, A, Dziak, J, Potter, LN, Lam, CY, Wetter, DW, Nahum-Shani, I (2023). Time-varying model of engagement with digital self-reporting: Example from a smoking cessation intervention. Front Digit Health, 5, 1144081.
  17. Potter, LN, LeCroy, MN, Bandeen-Roche, K, Bianco, ME, Cappola, AR, Carter, EB, Dayan, DS, Eckstrom, E, Edwards, DF, Farabi, SS, Fisher, SD, Giordano, J, Hanson, HA, Jenkins, E, Juhn, Y, Kaskel, F, Stake, CE, Reeds, DN, Schleiss, MR, Wafford, QE, McColley, SA (2023). Barriers to and solutions for representative inclusion across the lifespan and in life course research: the need for structural competency highlighted by the COVID-19 pandemic. J Clin Transl Sci, 7(1), e38.
  18. Potter LN, Schlechter CR, Shono Y, Lam CY, Cinciripini PM, Wetter DW (2022). An ecological momentary assessment study of outcome expectancies and smoking lapse in daily life. Drug Alcohol Depend, 238, 109587.
  19. Hopkins, P D, Spears, C A, Hoover, D S, Li, L, Cambron, C, Potter, L N, Cinciripini, P M, Lam, C Y, Wetter, D W (2022). Trajectories of motivation and self-efficacy during a smoking quit attempt: An ecological momentary assessment study. Psychol Addict Behav, 36(1), 78.
  20. Potter, LN, Schlechter, CR, Shono, YS, Lam, CY, Cinciripini, PM, Wetter, DW (2022). An ecological momentary assessment study of smoking expectancies and lapse. Drug Alcohol Depend, 238, 109587.
  21. Nahum-Shani I, Potter LN, Lam CY, Yap J, Moreno A, Stoffel R, Wu Z, Wan N, Dempsey W, Kumar S, Ertin E, Murphy SA, Rehg JM, Wetter DW (2021). The mobile assistance for regulating smoking (MARS) micro-randomized trial design protocol. Contemp Clin Trials, 110, 106513.
  22. Bernstein, M J, Neubauer, A B, Benfield, J A, Potter, L, Smyth, J M (2021). Within‐person effects of inclusion and exclusion on well‐being in daily life. Pers Relatsh, 28(4), 940-960.
  23. Nahum-Shani, I, Potter, LN, Lam, C, Moreno, A, Wu, Z, Kumar, S, Murphy, S, Rehg, J, Wetter, D (2021). The Mobile-Assistance for Regulating Smoking (MARS) micro-randomized trial design protocol . Contemp Clin Trials, 110, 106513.
  24. Potter LN, Lam CY, Cinciripini PM, Wetter DW (2021). Intersectionality and Smoking Cessation: Exploring Various Approaches for Understanding Health Inequities. Nicotine Tob Res, 23(1), 115-123.
  25. Reese TJ, Schlechter CR, Potter LN, Kawamoto K, Del Fiol G, Lam CY, Wetter DW (2021). Evaluation of Revised US Preventive Services Task Force Lung Cancer Screening Guideline Among Women and Racial/Ethnic Minority Populations. JAMA Netw Open, 4(1), e2033769.
  26. Potter LN, Haaland BA, Lam CY, Cambron C, Schlechter CR, Cinciripini PM, Wetter DW (2020). A time-varying model of the dynamics of smoking lapse. Health Psychol, 40(1), 40-50.
  27. Potter LN, Meadows A, Smyth JM (2020). Weight stigma in everyday life: An ecological momentary assessment study. J Health Psychol, 26(14), 2781-2793.
  28. Potter L, Zawadzki MJ, Eccleston CP, Cook JE, Snipes SA, Sliwinski MJ, Smyth JM (2018). The Intersections of Race, Gender, Age, and Socioeconomic Status: Implications for Reporting Discrimination and Attributions to Discrimination. Stigma Health, 4(3), 264-281.
  29. Potter LN, Brondolo E, Smyth JM (2017). Biopsychosocial correlates of discrimination in daily life: A review. Stigma Health, 4(1), 38-61.
  30. Potter L, Wallston K, Trief P, Ulbrecht J, Juth V, Smyth J (2015). Attributing discrimination to weight: associations with well-being, self-care, and disease status in patients with type 2 diabetes mellitus. J Behav Med, 38(6), 863-75.

Editorial

  1. Potter LN, Nahum-Shani I, Wetter DW (2023). Editorial: Digital technology for tobacco control: Novel data collection, study designs, and interventions. Front Digit Health, 5, 1341759.