Rundle, Andrew G.

Short Sleep Duration as a Risk Factor for Hypertension: Analyses of the First National Health and Nutrition Examination Survey

Gangwisch, J. E., Heymsfield, S. B., Boden-Albala, B., Buijs, R. M., Kreier, F., Pickering, T. G., Rundle, A. G., Zammit, G. K., & Malaspina, D. (2006) · Hypertension

Sleep and related disordersBlood Pressure and Hypertension Studies

Cited by 1,284

Sleep Duration as a Risk Factor for Diabetes Incidence in a Large US Sample

Gangwisch, J. E., Heymsfield, S. B., Boden-Albala, B., Buijs, R. M., Kreier, F., Pickering, T. G., Rundle, A. G., Zammit, G. K., & Malaspina, D. (2007) · Sleep

Sleep and related disordersCircadian rhythm and melatonin

Cited by 573

Neighborhood Food Environment and Walkability Predict Obesity in New York City

Rundle, A., Neckerman, K. M., Freeman, L., Lovasi, G. S., Purciel, M., Quinn, J., Richards, C., Sircar, N., & Weiss, C. (2009) · Environmental Health Perspectives

Urban Transport and AccessibilityObesity, Physical Activity, Diet

Cited by 411

Children living in areas with more street trees have lower prevalence of asthma: Table 1

Lovasi, G. S., Quinn, J. W., Neckerman, K. M., Perzanowski, M. S., & Rundle, A. (2008) · Journal of Epidemiology and Community Health

Urban Green Space and HealthAsthma and respiratory diseases

Cited by 314

A pilot randomized controlled trial of a commercial diet and exercise weight loss program in minority breast cancer survivors

Greenlee, H. A., Crew, K. D., Mata, J. M., McKinley, P. S., Rundle, A. G., Zhang, W., Liao, Y., Tsai, W. Y., & Hershman, D. L. (2013) · Obesity

Cancer Risks and FactorsCancer survivorship and care

Cited by 111

Detection of Gluten in Gluten-Free Labeled Restaurant Food: Analysis of Crowd-Sourced Data

Lerner, B. A., Phan Vo, L. T., Yates, S., Rundle, A. G., Green, P. H. R., & Lebwohl, B. (2019) · American Journal of Gastroenterology

Celiac Disease Research and ManagementFood Allergy and Anaphylaxis Research

Cited by 69

Comparison of anthropometric and body composition measures as predictors of components of the metabolic syndrome in a clinical setting.

Mooney, S. J., Baecker, A., & Rundle, A. G. (2013) · Obesity Research & Clinical Practice

Body Composition Measurement TechniquesDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 54

Use of Generative AI to Identify Helmet Status Among Patients With Micromobility-Related Injuries From Unstructured Clinical Notes

Burford, K. G., Itzkowitz, N. G., Ortega, A. G., Teitler, J. O., & Rundle, A. G. (2024) · JAMA Network Open

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 33

Neighborhood walkability and mortality in a prospective cohort of women

India-Aldana, S., Rundle, A. G., Zeleniuch-Jacquotte, A., Quinn, J. W., Kim, B., Afanasyeva, Y., Clendenen, T. V., Koenig, K. L., Liu, M., Neckerman, K. M., et al. (2021) · Epidemiology

Urban Transport and AccessibilityUrban Green Space and Health

Cited by 25