Self-Efficacy as a Moderator for the Relationship between Physical Activity and Monocyte Subsets: Data from the Step It Up Digital Health-Enabled, Community-Engaged Physical Activity Intervention
Time: -Topics: Cardiovascular Disease, Physical Activity
Background: Physical activity (PA) can mitigate and reduce the risk of cardiovascular disease (CVD). Psychosocial factors and their impact on monocytes and monocyte subsets may contribute to increased risk for developing CVD. We examined self-efficacy (SE) as a moderator in the relationship between PA and monocytes in African American (AA) women at risk for CVD living in underserved Washington D.C. neighborhoods.
Methods: Participants were enrolled in Step It Up (SIU), a digital health PA intervention created using community-based participatory research. A Fitbit Charge 2 was used to measure PA as daily step counts. Flow cytometry of fasting fresh blood samples was used to quantify monocytes and their subsets. Multivariable linear regression, adjusting for BMI, ASCVD risk score, and SES, was used to determine relationships between PA and monocytes. SE measured by the Physical Activity and Nutrition Self-Efficacy (PANSE) scale, an 11-item, nine-point Likert scale measuring women’s confidence in participating in health-promoting behaviors (range: 11-99, higher score= higher SE), was examined as a moderator of associations between PA and monocytes. Participants were categorized into tertiles based on PANSE score.
Results: The study cohort consisted of 155 AA women (age=57.1±12.0 y, BMI=36.0±6.6 kg/m2, ASCVD=9.5±6.6). Higher levels of PA were associated with each monocyte subset, but not overall monocyte presence. PA was negatively associated with classical monocytes (CM) (β=-0.3, p<0.001) and positively associated with both intermediate (IM) (β=0.3, p<0.001) and non-classical monocytes (NCM) (β=0.3, p<0.001). The interaction effect of PA and SE approached significance (p = 0.057), suggesting a potential moderation of the relationship. When stratified by SE, there were significant associations between PA and monocytes among those reporting the highest levels of SE (higher PANSE tertile: β=0.3, p=0.03 for PA and all monocytes, β=-0.5, p<0.001 for PA and CM, β=0.5, p<0.001 for PA and IM, β=0.3, p=0.018 for PA and NCM).
Conclusion: Higher baseline PA was associated with differences in monocyte subsets in AA women at risk for CVD living in disadvantaged communities. Notably, SE moderates the relationship between PA and monocytes, suggesting that higher SE may be associated with a shift in monocyte subsets. Future work should further investigate the role of SE in monocyte distribution and examine its impact on cardiovascular disease risk.
Keywords: Cardiovascular disease, PsychoneuroimmunologyMethods: Participants were enrolled in Step It Up (SIU), a digital health PA intervention created using community-based participatory research. A Fitbit Charge 2 was used to measure PA as daily step counts. Flow cytometry of fasting fresh blood samples was used to quantify monocytes and their subsets. Multivariable linear regression, adjusting for BMI, ASCVD risk score, and SES, was used to determine relationships between PA and monocytes. SE measured by the Physical Activity and Nutrition Self-Efficacy (PANSE) scale, an 11-item, nine-point Likert scale measuring women’s confidence in participating in health-promoting behaviors (range: 11-99, higher score= higher SE), was examined as a moderator of associations between PA and monocytes. Participants were categorized into tertiles based on PANSE score.
Results: The study cohort consisted of 155 AA women (age=57.1±12.0 y, BMI=36.0±6.6 kg/m2, ASCVD=9.5±6.6). Higher levels of PA were associated with each monocyte subset, but not overall monocyte presence. PA was negatively associated with classical monocytes (CM) (β=-0.3, p<0.001) and positively associated with both intermediate (IM) (β=0.3, p<0.001) and non-classical monocytes (NCM) (β=0.3, p<0.001). The interaction effect of PA and SE approached significance (p = 0.057), suggesting a potential moderation of the relationship. When stratified by SE, there were significant associations between PA and monocytes among those reporting the highest levels of SE (higher PANSE tertile: β=0.3, p=0.03 for PA and all monocytes, β=-0.5, p<0.001 for PA and CM, β=0.5, p<0.001 for PA and IM, β=0.3, p=0.018 for PA and NCM).
Conclusion: Higher baseline PA was associated with differences in monocyte subsets in AA women at risk for CVD living in disadvantaged communities. Notably, SE moderates the relationship between PA and monocytes, suggesting that higher SE may be associated with a shift in monocyte subsets. Future work should further investigate the role of SE in monocyte distribution and examine its impact on cardiovascular disease risk.
Authors and Affliiates
Presenter: Dana Sandler, BA, National Heart, Lung, and Blood InstituteCo-Author: Marcus Andrews, PhD, National Heart, Lung, and Blood Institute
Co-Author: Foster Osei Baah, BSN, MS-PhD, RN, Nell Hodgson Woodruff School of Nursing, Emory University
Co-Author: Sonal Sharda, MHS, National Heart, Lung, and Blood Institute
Co-Author: Abhinav Saurabh, PhD, National Heart, Lung, and Blood Institute
Co-Author: Hannatu Tarfa, BA, National Heart, Lung, and Blood Institute
Co-Author: Ayushi Dave, BS, National Heart, Lung, and Blood Institute
Co-Author: Mario Pita, BS, National Heart, Lung, and Blood Institute
Co-Author: Manuel Cintron, MD, National Heart, Lung, and Blood Institute
Co-Author: Sandy Reynolds, BS, National Heart, Lung, and Blood Institute
Co-Author: Shelby Hicks, BA, National Heart, Lung, and Blood Institute
Co-Author: Lizzie Aquino Peterson, BS, National Heart, Lung, and Blood Institute
Co-Author: Lola Ortiz-Whittingham, BS, National Heart, Lung, and Blood Institute
Co-Author: Kameswari Potharaju, BA, National Heart, Lung, and Blood Institute
Co-Author: Andrew Baez, MD, National Heart, Lung, and Blood Institute
Co-Author: Sam Neally, BA, National Heart, Lung, and Blood Institute
Co-Author: Nithya Vijayakumar, MD, National Heart, Lung, and Blood Institute
Co-Author: Kaveri Curlin, BS, National Heart, Lung, and Blood Institute
Co-Author: Colby Ayers, MS, Division of Cardiology, UT Southwestern Medical Center
Co-Author: Laurel Mendelsohn, BS, National Heart, Lung, and Blood Institute
Co-Author: Marie Marah, RN, National Heart, Lung, and Blood Institute
Co-Author: Ayanna Wells, MS, National Heart, Lung, and Blood Institute
Co-Author: Sarah Deguzman, MHA, National Heart, Lung, and Blood Institute
Co-Author: Azeb Redai, National Heart, Lung, and Blood Institute
Co-Author: Valerie Mitchell, BA, National Heart, Lung, and Blood Institute
Co-Author: Katherine Joy Tolentino, MSN, National Heart, Lung, and Blood Institute
Co-Author: Billy Collins, DHSc, National Heart, Lung, and Blood Institute
Co-Author: Yvonne Baumer, PhD, National Heart, Lung, and Blood Institute
Co-Author: Tiffany Powell-Wiley, MD, MPH, National Heart, Lung, and Blood Institute
Self-Efficacy as a Moderator for the Relationship between Physical Activity and Monocyte Subsets: Data from the Step It Up Digital Health-Enabled, Community-Engaged Physical Activity Intervention
Category
Scientific > Poster/Paper/Live Research Spotlight