Skip to main content
Grant Details

Grant Number: 4R00CA252604-03 Interpret this number
Primary Investigator: Potter, Lindsey
Organization: University Of Utah
Project Title: Using Mhealth to Investigate Intersectionality and Health Behaviors: Implications for Conceptual Models and Cancer Prevention Interventions for Marginalized Populations
Fiscal Year: 2023


PROJECT SUMMARY/ABSTRACT Tobacco is the leading cause of preventable death and disease and is linked to approximately 20 cancers. The rate of decline of tobacco use has been lower for marginalized populations compared to more privileged groups. Most research on tobacco inequities has examined differences based on a single attribute like race/ethnicity, yet this ignores heterogeneity within groups and how multiple aspects of a person’s identity like their race/ethnicity, socioeconomic status (SES), or gender may interact to shape lived experiences and health behaviors. Intersectionality posits that interconnections among multiple aspects of identity and their interaction with social, and contextual factors can contribute to inequities. This framework is useful for shifting focus from broad sectors of the population to groups with disproportionate health risk. Mobile health methodology (mHealth), such as AutoSense and ecological momentary assessment (EMA), provide real-time objective and subjective assessments of how and when emotions and behaviors change depending on time and context and can inform just-in-time adaptive interventions for populations disproportionately affected by tobacco use. The objective of this proposal is to advance methodological and content knowledge of the utility of intersectionality for examining psychosocial, behavioral, and contextual factors that contribute to tobacco use and cancer inequities. Training goals incorporate tobacco use and health inequities, mHealth methodology, advanced statistics, and professional development. The K99 phase will take place at the Huntsman Cancer Institute and focuses on tobacco use and mechanisms of behavior change (e.g., stress, affect, self-efficacy) in intersectional groups using the existing EMA and AutoSense data of the primary mentor, Dr. David Wetter, who is an expert in mHealth, health inequities, and interventions targeting tobacco behavior change. Training with co-mentors Benjamin Haaland in advanced statistics, Dr. Inbal ‘Billie’ Nahum-Shani in behavioral theory and the development of adaptive interventions, and Dr. Nicole Else-Quest in quantitative intersectionality research will contribute to training goals. The R00 phase will consist of a novel intersectionality study using AutoSense and EMA to investigate the real-time dynamics of intersectional identities with stress, negative affect, self-efficacy, and tobacco use in real-time. This work is innovative because no studies to-date have examined tobacco use inequities using an intersectionality framework, nor have any studies combined this framework with the use of cutting-edge technology like AutoSense and EMA to investigate tobacco use inequities in real-time. This work can directly inform tailored interventions targeting tobacco use behaviors among populations at specific sociodemographic intersections that confer inequitable cancer risk and directly addresses the NCI’s mission to conduct and support cancer research to advance scientific knowledge and help all people live longer, healthier lives.


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.
Authors: Potter L.N. , Yap J. , Dempsey W. , Wetter D.W. , Nahum-Shani I. .
Source: Prevention science : the official journal of the Society for Prevention Research, 2023 Nov; 24(8), p. 1659-1671.
EPub date: 2023-04-15.
PMID: 37060480
Related Citations

Socio-economic status moderates within-person associations of risk factors and smoking lapse in daily life.
Authors: Potter L.N. , Schlechter C.R. , Nahum-Shani I. , Lam C.Y. , Cinciripini P.M. , Wetter D.W. .
Source: Addiction (Abingdon, England), 2023 May; 118(5), p. 925-934.
EPub date: 2023-01-10.
PMID: 36564898
Related Citations

Editorial: Digital technology for tobacco control: Novel data collection, study designs, and interventions.
Authors: Potter L.N. , Nahum-Shani I. , Wetter D.W. .
Source: Frontiers in digital health, 2023; 5, p. 1341759.
EPub date: 2023-12-01.
PMID: 38107825
Related Citations

Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data.
Authors: Ji L. , Li Y. , Potter L.N. , Lam C.Y. , Nahum-Shani I. , Wetter D.W. , Chow S.M. .
Source: Frontiers in digital health, 2023; 5, p. 1099517.
EPub date: 2023-11-10.
PMID: 38026834
Related Citations

An ecological momentary assessment study of outcome expectancies and smoking lapse in daily life.
Authors: Potter L.N. , Schlechter C.R. , Shono Y. , Lam C.Y. , Cinciripini P.M. , Wetter D.W. .
Source: Drug and alcohol dependence, 2022-09-01; 238, p. 109587.
EPub date: 2022-07-27.
PMID: 35932749
Related Citations

A time-varying model of the dynamics of smoking lapse.
Authors: Potter L.N. , Haaland B.A. , Lam C.Y. , Cambron C. , Schlechter C.R. , Cinciripini P.M. , Wetter D.W. .
Source: Health psychology : official journal of the Division of Health Psychology, American Psychological Association, 2021 Jan; 40(1), p. 40-50.
PMID: 33370151
Related Citations

Back to Top