Margaret McCarthy


Margaret M. McCarthy headshot

Margaret McCarthy


Assistant Professor

1 212 992 5796
Accepting PhD students

Margaret McCarthy's additional information

Margaret McCarthy, PhD, RN, FNP-BC, FAHA, is an assistant professor at NYU Rory Meyers College of Nursing. She is a family nurse practitioner and an exercise physiologist. Her research focuses on promoting exercise in populations at risk for cardiovascular disease. She has conducted research in adults with both type 1 and type 2 diabetes. Her future research goal is to develop interventions to promote exercise in these populations, focusing on the use of technology in clinical settings. 

McCarthy received her PhD from New York University, MS in family nursing from Pace University, MA in exercise physiology from Adelphi University, and BSN from Binghamton University. She completed post-doctoral training in nursing at Yale University.

Post-doctoral training, Nursing - Yale
PhD - New York University
MS, Family Nursing Practitioner - Pace University
MA, Exercise Physiology - Adelphi University
BSN - Binghamton University

Non-communicable disease
Adult health

American Association of Nurse Practitioners
American Heart Association
Eastern Nursing Research Society
Society of Behavioral Medicine

Faculty Honors Awards

Fellow, New York Academy of Medicine (2018)
Fellow, American Heart Association (2017)
Overall Distinguished Student, NYU College of Nursing (2013)


Associations of insomnia symptoms with sociodemographic, clinical, and lifestyle factors in persons with HF: Health and retirement study

Gharzeddine, R., McCarthy, M. M., Yu, G., & Dickson, V. V. (2022). Research in Nursing and Health, 45(3), 364-379. 10.1002/nur.22211
Insomnia symptoms are very common in persons with heart failure (HF). However, many of the correlates and predictors of insomnia symptoms in this population remain unclear. The purpose of this study is to investigate the associations of sociodemographic, clinical, and lifestyle factors with insomnia symptoms in persons with HF. A theoretical framework was adapted from the neurocognitive model of chronic insomnia to guide the study. Data from the health and retirement study were used for the analysis. Parametric and nonparametric bivariate and multivariate analyses were conducted to investigate these associations. Age, depressive symptoms, comorbidity, dyspnea, pain, and smoking had significant bivariate associations with all insomnia symptoms. Race, Hispanic ethnicity, marital status, household income, poverty, and physical activity were associated with difficulty initiating sleep (DIS) and early morning awakening (EMA). Female sex, education, and alcohol consumption had a significant bivariate association with DIS. Sleep-disordered breathing and body mass index were significantly associated with EMA. Multivariate analysis suggested that depressive symptoms, comorbidity, dyspnea, and pain had independent associations with each insomnia symptom. Age explained DIS and difficulty maintaining sleep, and significant interaction effects between age and physical activity on DIS and EMA were revealed. Results suggest that insomnia symptoms are associated with several sociodemographic, clinical, and lifestyle factors. Age below 70 years, depressive symptoms, comorbidity, dyspnea, and pain might be considered as a phenotype to identify persons with HF who are at increased risk for insomnia symptoms.

Cardiovascular health in emerging adults with type 1 diabetes

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Associations of Insomnia Symptoms With Cognition in Persons With Heart Failure

Gharzeddine, R., Yu, G., McCarthy, M. M., & Dickson, V. V. (2021). Western Journal of Nursing Research, 43(12), 1105-1117. 10.1177/0193945920988840
Although cognitive impairment is common among persons with heart failure and negatively impacts self-care, hospitalization, and mortality, the associations between cognitive impairment and insomnia symptoms are not clearly understood. The purpose of this study was to explore these associations and examine if they are maintained after adjusting for relevant sociodemographic, clinical, and lifestyle factors. Guided by the Neurocognitive model of insomnia and sleep and the self-care conceptual model, a cross-sectional data analysis using parametric testing was conducted on the Health and Retirement Study wave 2016. Difficulty initiating sleep and early morning awakening, but not difficulty maintaining sleep were significantly associated with poorer cognitive performance in the bivariate and multivariate analysis. Our results are suggestive of different phenotypes of insomnia symptoms that may have different associations with cognition in persons with heart failure. Further research using objective measurements of insomnia symptoms and detailed neuropsychiatric testing of cognition is needed to confirm this conclusion.

Factors associated with work ability in adults with diabetes

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Implementing the physical activity vital sign in an academic preventive cardiology clinic

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Insomnia and Insomnia Symptoms in Persons with Heart Failure: An Integrative Review

Gharzeddine, R., McCarthy, M. M., Yu, G., & Dickson, V. V. (2021). Journal of Cardiovascular Nursing, 36(4), 374-384. 10.1097/JCN.0000000000000719
Background/Objective Insomnia and insomnia symptoms are highly prevalent in persons with heart failure (HF), and they are associated with several untoward outcomes. The purpose of this integrative review is to describe the correlates, predictors, and outcomes of insomnia and insomnia symptoms in persons with HF. Methods Using integrative review methods, an extensive electronic search of 5 databases was conducted for the period of 2000-2019. Sixteen studies were identified that met the inclusion criteria for review and investigated insomnia or insomnia symptoms in HF. Results Various sociodemographic factors, chronic comorbidities, clinical factors, and cognitive-behavioral factors are correlates and predictors of insomnia and insomnia symptoms in persons with HF. Depression, fatigue, daytime sleepiness, poor self-reported physical functioning, decreased exercise capacity, cardiac events, and poor health-related quality of life are significant outcomes of insomnia and insomnia symptoms in persons with HF. The associations of insomnia and insomnia symptoms with age, sex, sleep-disordered breathing, and cognition were not consistent across all studies. Conclusion Larger studies with diverse age and race groups as well as longitudinal studies and designs that test mediation effects are needed to disentangle complex relationships between insomnia and insomnia symptoms and several of their potential predictors and correlates in HF.

An Integrated Review of Hypertrophic Cardiomyopathy in Black Populations Underrecognized and Understudied

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Managing Diabetes in the Workplace

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Telemedicine and Telehealth in Nursing Homes: An Integrative Review

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Diabetes Distress, Depressive Symptoms, and Cardiovascular Health in Adults with Type 1 Diabetes

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