Susan Malone

Faculty

Susan Malone headshot

Susan Kohl Malone

PhD RN

Assistant Professor

1 212 992 7047

433 First Ave
New York, NY 10010
United States

Accepting PhD students

Susan Kohl Malone, PhD, RN, is an Assistant Professor at NYU Rory Meyers College of Nursing. Her research focuses on understanding how sleep patterns and circadian rhythms impact metabolic health, with particular emphasis on preventing type 2 diabetes through personalized sleep interventions. She investigates how improving sleep health can reverse metabolic syndrome in diverse populations and addresses critical health disparities in sleep and cardiometabolic outcomes. Prof. Malone also teaches courses on lifestyle approaches to wellness and mentors doctoral students in sleep health research.

Malone has led multiple NIH-funded research projects, and is currently investigating metabolically-relevant hormonal rhythms in adults with prediabetes and short sleep duration, as well as multimodal dynamic biosensing for quantifying long COVID symptom progression. Her work combines nursing science, behavioral science, and circadian biology to develop evidence-based interventions that improve health outcomes across the lifespan.

Prior to joining the faculty at NYU Meyers, Malone served as a Senior Research Scientist at the college and completed postdoctoral training at the University of Pennsylvania's Center for Sleep and Circadian Neurobiology. She brings extensive clinical experience as a certified school nurse and diabetes educator, having worked in various healthcare settings including diabetes treatment centers and school health programs. This clinical background informs her translational research approach to making sleep science accessible and applicable to real-world health challenges.

Among her many honors, Malone had the unique honor of having the annual Susan Kohl Award established in her name at Georgetown University.

She completed postdoctoral training as a Senior Research Scientist at New York University Rory Meyers College of Nursing and as a Postdoctoral Fellow at the University of Pennsylvania Perelman School of Medicine's Center for Sleep and Circadian Neurobiology, where she developed expertise in sleep and circadian health research. Her doctoral dissertation examined whether chronotype modifies the relationship between sleep duration and body mass index in adolescents, establishing her foundation in sleep health across the lifespan.

PhD in Nursing, University of Pennsylvania School of Nursing
MSN in Nursing, University of Pennsylvania School of Nursing
BSN in Nursing, Georgetown University School of Nursing

Cardiometabolic Health
Circadian Rhythms
Diabetes Prevention
Health Disparities
School Health
Sleep Research

American Academy of Nursing
Eastern Nursing Research Society
International Association of Circadian Health Clinics
Sigma Theta Tau Nursing Honor Society
Sleep Research Society
Society for Research in Biological Rhythms
Society of Behavioral Medicine

Marion R. Gregory Award for distinguished completed doctoral dissertation, University of Pennsylvania School of Nursing (2015)
Heilbrunn Nurse Scholar Award, Rockefeller University (2014)
Research Poster Winner, National Association of School Nurses Annual Conference (2013)
Leadership Identification Scholarship, University of Pennsylvania School of Nursing (1985)
Susan Kohl Award, Georgetown University (1985)
Sigma Theta Tau, Nursing Honor Society (1984)

Addressing the Social Determinants of Health : A Call to Action for School Nurses

Schroeder, K., Malone, S. K., McCabe, E., & Lipman, T. (2018). In Journal of School Nursing (Vols. 34, Issues 3, pp. 182-191). 10.1177/1059840517750733
Abstract
Abstract
Social determinants of health (SDOH), the conditions in which children are born, grow, live, work or attend school, and age, impact child health and contribute to health disparities. School nurses must consider these factors as part of their clinical practice because they significantly and directly influence child well-being. We provide clinical guidance for addressing the SDOH when caring for children with three common health problems (obesity, insufficient sleep, and asthma). Given their unique role as school-based clinical experts, care coordinators, and student advocates, school nurses are well suited to serve as leaders in addressing SDOH.

Dose-Dependent Associations between Sleep Duration and Unsafe Behaviors among US High School Students

Weaver, M. D., Barger, L. K., Malone, S. K., Anderson, L. S., & Klerman, E. B. (2018). In JAMA Pediatrics (Vols. 172, Issues 12, pp. 1187-1189). 10.1001/jamapediatrics.2018.2777
Abstract
Abstract
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Interactive effects of sleep duration and morning/evening preference on cardiovascular risk factors

Patterson, F., Malone, S. K., Grandner, M. A., Lozano, A., Perkett, M., & Hanlon, A. (2018). In European Journal of Public Health (Vols. 28, Issue 1, pp. 155-161). 10.1093/eurpub/ckx029
Abstract
Abstract
Background Sleep duration and morningness/eveningness (circadian preference) have separately been associated with cardiovascular risk factors (i.e. tobacco use, physical inactivity). Interactive effects are plausible, resulting from combinations of sleep homeostatic and circadian influences. These have not been examined in a population sample. Methods Multivariable regression models were used to test the associations between combinations of sleep duration (short [≤6 h], adequate [7-8 h], long [≥9 h]) and morning/evening preference (morning, somewhat morning, somewhat evening, evening) with the cardiovascular risk factors of tobacco use, physical inactivity, high sedentary behaviour, obesity/overweight and eating fewer than 5 daily servings of fruit and vegetables, in a cross-sectional sample of 439 933 adults enrolled in the United Kingdom Biobank project. Results Participants were 56% female, 95% white and mean age was 56.5 (SD = 8.1) years. Compared with adequate sleep with morning preference (referent group), long sleep with evening preference had a relative odds of 3.23 for tobacco use, a 2.02-fold relative odds of not meeting physical activity recommendations, a 2.19-fold relative odds of high screen-based sedentary behaviour, a 1.47-fold relative odds of being obese/overweight and a 1.62-fold relative odds of

A systematic review of biological mechanisms of fatigue in chronic illness

Malone, S. K. (2018). In Biological Research for Nursing (Vols. 20, Issues 4, p. 410).
Abstract
Abstract
Fatigue, a commonly reported symptom, is defined as an overwhelming, debilitating, and sustained sense of exhaustion that decreases the ability to function and carry out daily activities. To date, cancer researchers have been in the forefront in investigating the possible biological mechanisms of fatigue, identifying inflammation, dysregulation of the hypothalamic–pituitary–adrenal (HPA) axis, and activation of the autonomic nervous system. The purpose of this systematic review is to describe fatigue and what is known about the biological mechanisms described in cancer in five chronic, noninfectious illnesses: heart failure, multiple sclerosis, chronic kidney disease, rheumatoid arthritis, and chronic obstructive pulmonary disease. We searched PubMed and EMBASE using fatigue as a major Medical subject headings (MeSH) heading with each individual disease added as a search term followed by each biological mechanism. We included only primary research articles published in English between 1996 and 2016 describing studies conducted in adult humans. We identified 26 relevant articles. While there is some evidence that the biological mechanisms causing fatigue in cancer are also associated with fatigue in other chronic illnesses, more research is needed to explore inflammation, the HPA axis, and the autonomic nervous system, and other mechanisms in relation to fatigue in a variety of chronic illnesses.

Applying behavioral insights to delay school start times

Malone, S. K., Kohl Malone, S., Ziporyn, T., & Buttenheim, A. M. (2017). In Sleep Health (Vols. 3, Issues 6, pp. 483-485). 10.1016/j.sleh.2017.07.012
Abstract
Abstract
Healthy People 2020 established a national objective to increase the proportion of 9th-to-12th-grade students reporting sufficient sleep. A salient approach for achieving this objective is to delay middle and high school start times. Despite decades of research supporting the benefits of delayed school start times on adolescent sleep, health, and well-being, progress has been slow. Accelerating progress will require new approaches incorporating strategies that influence how school policy decisions are made. In this commentary, we introduce four strategies that influence decision-making processes and demonstrate how they can be applied to efforts aimed at changing school start time policies.

Differences in morning–evening type and sleep duration between Black and White adults : Results from a propensity-matched UK Biobank sample

Malone, S. K., Patterson, F., Lozano, A., & Hanlon, A. (2017). In Chronobiology International (Vols. 34, Issues 6, pp. 740-752). 10.1080/07420528.2017.1317639
Abstract
Abstract
Biological evidence suggests that ethno-racial differences in morning–evening type are possible, whereby Blacks may be more likely to be morning type compared to Whites. However, population-level evidence of ethno-racial difference in morning–evening type is limited. In an earlier study, we reported that morning type was more prevalent in Blacks compared to Whites in the United Kingdom (UK) Biobank cohort (N = 439 933). This study aimed to determine if these ethno-racial differences persisted after accounting for an even broader range of social, environmental and individual characteristics and employing an analytic approach that simulates randomization in observational data, propensity score modeling. Data from UK Biobank participants whose self-identified race/ethnicity was Black/Black British or White; who did not report daytime napping, shift work or night shift work; who provided full mental health information; and who were identified using propensity score matching were used (N = 2044). Each sample was strongly matched across all social, environmental and individual characteristics as indicated by absolute standardized mean differences

Characteristics Associated With Sleep Duration, Chronotype, and Social Jet Lag in Adolescents

Malone, S. K., Zemel, B., Compher, C., Souders, M., Chittams, J., Thompson, A. L., & Lipman, T. H. (2016). In Journal of School Nursing (Vols. 32, Issues 2, pp. 120-131). 10.1177/1059840515603454
Abstract
Abstract
Sleep is a complex behavior with numerous health implications. Identifying sociodemographic and behavioral characteristics of sleep is important for determining those at greatest risk for sleep-related health disparities. In this cross-sectional study, general linear models were used to examine sociodemographic and behavioral characteristics associated with sleep duration, chronotype, and social jet lag in adolescents. One hundred and fifteen participants completed Phase I (self-reported sleep measures), and 69 of these participants completed Phase II (actigraphy-estimated sleep measures). Black adolescents had shorter free night sleep than Hispanics. Youth with later chronotypes ate fewer fruits and vegetables, drank more soda, were less physically active, and took more daytime naps. Based on these findings, recommendations for individual support and school policies are provided.

Ethnic differences in sleep duration and morning-evening type in a population sample

Malone, S. K., Patterson, F., Lu, Y., Lozano, A., & Hanlon, A. (2016). In Chronobiology International (Vols. 33, Issue 1, pp. 10-21). 10.3109/07420528.2015.1107729
Abstract
Abstract
This cross-sectional population study examined associations of sleep duration and morning-evening type with sociodemographic and cardiometabolic disease in adults participating in the UK Biobank study (N = 439 933). Multivariable Poisson regression models of sleep duration and morning-evening type with a robust error variance were generated to estimate adjusted prevalence ratios and their 95% confidence intervals. All models were adjusted for sex, race, college attendance, employment status and age. Twenty five percent of the sample reported short sleep; 27% were morning, 64% intermediate and 9% evening type. Black ethnicity emerged as most strongly associated with sleep behavior. Short sleep was twice as prevalent, and morning versus intermediate type was 1.4 times more prevalent in Black than White participants. The greater prevalence of short sleep and morning type among Blacks suggests that sleep-based approaches to improving cardiometabolic outcomes may require a more multidimensional approach that encompasses adequate sleep and circadian alignment in this population.

Smoking, Screen-Based Sedentary Behavior, and Diet Associated with Habitual Sleep Duration and Chronotype : Data from the UK Biobank

Patterson, F., Malone, S. K., Lozano, A., Grandner, M. A., & Hanlon, A. L. (2016). In Annals of Behavioral Medicine (Vols. 50, Issues 5, pp. 715-726). 10.1007/s12160-016-9797-5
Abstract
Abstract
Background: Sleep duration has been implicated in the etiology of obesity but less is known about the association between sleep and other behavioral risk factors for cardiovascular disease. Purpose: The aim of this study was to examine the associations among sleep duration, chronotype, and physical activity, screen-based sedentary behavior, tobacco use, and dietary intake. Methods: Regression models were used to examine sleep duration and chronotype as the predictors and cardiovascular risk factors as outcomes of interest in a cross-sectional sample of 439,933 adults enrolled in the UK Biobank project. Results: Short sleepers were 45 % more likely to smoke tobacco than adequate sleepers (9.8 vs. 6.9 %, respectively). Late chronotypes were more than twice as likely to smoke tobacco than intermediate types (14.9 vs. 7.4 %, respectively). Long sleepers reported 0.61 more hours of television per day than adequate sleepers. Early chronotypes reported 0.20 fewer daily hours of computer use per day than intermediate chronotypes. Early chronotypes had 0.25 more servings of fruit and 0.13 more servings of vegetables per day than late chronotypes. Conclusions: Short and long sleep duration and late chronotype are associated with greater likelihood of cardiovascular risk behaviors. Further work is needed to determine whether these findings are maintained in the context of objective sleep and circadian estimates, and in more diverse samples. The extent to which promoting adequate sleep duration and earlier sleep timing improves heart health should also be examined prospectively.

Social jet lag, chronotype and body mass index in 14–17-year-old adolescents

Malone, S. K., Zemel, B., Compher, C., Souders, M., Chittams, J., Thompson, A. L., Pack, A., & Lipman, T. H. (2016). In Chronobiology International (Vols. 33, Issues 9, pp. 1255-1266). 10.1080/07420528.2016.1196697
Abstract
Abstract
The relationship between sleep duration and obesity in adolescents is inconclusive. This may stem from a more complex relationship between sleep and obesity than previously considered. Shifts toward evening preferences, later sleep–wake times and irregular sleep–wake patterns are typical during adolescence but their relationship to body mass index (BMI) has been relatively unexplored. This cross-sectional study examined associations between sleep duration, midpoint of sleep and social jet lag (estimated from 7 days of continuous actigraphy monitoring), and morningness/eveningness with BMIs (BMI z-scores) and waist-to-height ratios in 14–17-year-old adolescents. Seventy participants were recruited from ninth and tenth grades at a public high school. Participants’ characteristics were as follows: 74% female, 75% post-pubertal, 36% Hispanic, 38% White, 22% Black, 4% Asian and 64% free/reduced lunch participants with a mean age of 15.5 (SD, 0.7). Forty-one percent of the participants were obese (BMI ≥ 95th percentile); 54% were abdominally obese (waist-to-height ratio ≥ 0.5). Multivariable general linear models were used to estimate the association between the independent variables (school night sleep duration, free night sleep duration, midpoint of sleep (corrected), social jet lag and morningness/eveningness) and the dependent variables (BMI z-scores and waist-to-height ratios). Social jet lag is positively associated with BMI z-scores (p < 0.01) and waist-to-height ratios (p = 0.01). Midpoint of sleep (corrected) is positively associated with waist-to-height ratios (p = 0.01). After adjusting for social jet lag, school night sleep duration was not associated with waist-to-height ratios or BMI z-scores. Morningness/eveningness did not moderate the association between sleep duration and BMI z-scores. Findings from this study suggest that chronobiological approaches to preventing and treating obesity may be important for accelerating progress in reducing obesity rates in adolescents.