Zhao Chen
Department Chair, Epidemiology and Biostatistics
Distinguished Professor
Professor, Anthropology
Professor, BIO5 Institute
Professor, Statistics-GIDP
Primary Department
(520) 626-9011
Research Interest
Zhao Chen, PhD, MPH, has been focused on epidemiologic research of women's health and aging-related health conditions. She has a wealth of experience in studying body composition assessments, breast cancer risk factors, fracture risk in cancer survivors, osteoporosis prevention, epidemiology of anemia, biomarker and genetic variations for chronic diseases and sarcopenia measurements among women and elderly from different ethnic backgrounds. She is a member of the Arizona Cancer Center, Arizona Center on Aging, Arizona Arthritis Center and BIO5. She is a funded researcher by the National Health Institute (NIH), and has served on numerous scientific study sections for the NIH and other funding agencies nationally and internationally. Dr. Chen also has an affiliated faculty appointment with the School of Anthropology.Her work with the U.S. Women's Health Initiative study has produced several significant research papers on epidemiologic methodology and osteoporosis risk factors in diverse populations. Her findings on increased fracture risk among breast cancer survivors have caught wide public attention, thus making a significant contribution to the prevention of fractures in the large number of breast cancer survivors. Her research on mammographic density as a proxy of breast cancer risk has provided direct evidences on significant associations between body composition, dietary intake, and mammographic density. The study findings on changes in body composition and hip structural geometry with intervention and aging have contributed to osteoporosis prevention and healthy aging research. Currently, she is leading investigations on longitudinal changes in bone strength and skeletal muscle loss associated with aging and hormone and calcium/vitamin D interventions. Her research on biomarkers and genetic variations for sarcopenia is supported by the National Institute of Aging/NIH. She has also received NIH funding to study anemia and its relationship with muscle loss, physical function, and mortality in Mexican American, Africa American, Native American, Asian, and Non-Hispanic white postmenopausal women. In the recent years, she has been working with several large worldwide consortiums on genome-wide association studies for sarcopenia and anemia.Besides teaching in classes, Dr. Chen has been providing research training opportunities to students especially minority students from underserved populations. Under her direction, graduate students in her laboratory are conducting research in many aspects of women's health and aging. Some examples of the research areas include arthritis and osteoporosis in women, anemia and cardiovascular diseases, physical functional assessments in the elderly, and relationship of growth factors with breast cancer risk. With the growing elderly population in the United States, osteoporosis, sarcopenia and anemia have become more significant public health problems. In responding to the community's needs, she frequently gives community health lectures and provides opportunities of health screening and education to publics. Dr. Chen is working on building a strong research and health promotion program to contribute to healthy aging in people from all ethnic backgrounds.

Publications

Stern, J. H., Grant, A. S., Thomson, C. A., Tinker, L., Hale, L., Brennan, K. M., Woods, N. F., & Chen, Z. (2013). Short sleep duration is associated with decreased serum leptin, increased energy intake, and decreased diet quality in postmenopausal women. Obesity (Silver Spring, Md.).

Objective: Short sleep duration induces hormonal perturbations contributing to hyperphagia, insulin resistance, and obesity. The majority of these studies are conducted in young adults. This analysis in a large (n= 769) sample of postmenopausal women (median age 63y) sought to 1) confirm that sleep duration and sleep quality are negatively correlated with circulating leptin concentrations and 2) to examine the relationship between self-reported sleep, dietary energy intake, and diet quality, as well as, investigate the role of leptin in these associations. Design and Methods: Sleep duration/ quality, insomnia, and dietary intake were determined via self-report. Blood samples were collected following an overnight fast to assess serum leptin concentration. All analyses were adjusted for total body fat mass. Results: Women reporting ≤6h sleep/night had lower serum leptin concentrations than those reporting ≥8h sleep (P= 0.04). Furthermore, those with ≤6h sleep/night reported higher dietary energy intake (p=0.01) and lower diet quality (P= 0.04) than the reference group (7h sleep/night). Women sleeping ≥8h also reported lower diet quality than the reference group (P= 0.02). Importantly, serum leptin did not confound these associations. Conclusions: These results provide evidence that sleep duration is inversely associated with serum leptin and dietary energy intake in postmenopausal women.

Klimentidis, Y. C., Bea, J. W., Lohman, T., Hsieh, P., Going, S., & Chen, Z. (2015). High genetic risk individuals benefit less from resistance exercise intervention. International journal of obesity (2005), 39(9), 1371-5.
BIO5 Collaborators
Zhao Chen, Yann C Klimentidis

Genetic factors have an important role in body mass index (BMI) variation, and also likely have a role in the weight loss and body composition response to physical activity/exercise. With the recent identification of BMI-associated genetic variants, it is possible to investigate the interaction of these genetic factors with exercise on body composition outcomes.

Chen, Z. (2015). Fusion of clinical and stochastic finite element data for hip fracture risk prediction. Biomechanics, 48(15), 4043.

Jiang, P., Missoum, S. and Chen, Z., “Fusion of clinical and stochastic finite element data for hip fracture risk prediction”, Journal of Biomechanics, Volume 48, Issue 15, 26 November 2015, Pages 4043. PMID: 26482733 http://www.ncbi.nlm.nih.gov/pubmed/26482733

Jiang, P., Missoum, S., & Chen, Z. (2014). Optimal SVM Parameter Selection for Non-separable and Unbalanced Datasets.. Structural and Multidisciplinary Optimization, 50, 523-535.

Jiang, P., Missoum, S., and Chen, Z., Optimal SVM Parameter Selection for Non-separable and Unbalanced Datasets. Structural and Multidisciplinary Optimization, vol. 50, 2014, pp. 523-535.

Bea, J. W., Smoller, S., Wertheim, B. C., Klimentidis, Y. C., Chen, Z., Zaslavsky, O., Manini, T., Womack, C., Kroenke, C., LaCroix, A., & Thomson, C. A. (2016). Associations between ACE-inhibitors and angiotensin receptor blockers, and lean body mass in community dwelling older women. Nutr, Metab and Cardio Vasc Diseases.
BIO5 Collaborators
Zhao Chen, Yann C Klimentidis