Daniela Sotres-Alvarez, DrPH

 

Daniela Sotres-Alvarez Research Assistant Professor
Biostatistics

Curriculum Vitae
REACH NC (Collexis) Research Profile

Collaborative Studies Coordinating Center
137 E. Franklin St.
Suite 203
Campus Box 8030
Chapel Hill 27514
USAT: 919-843-9994
dsotres@unc.edu

 

Education
2010 University of North Carolina at Chapel Hill DrPH, Biostatistics
2002 University of North Carolina at Chapel Hill MS, Biostatistics
1997 Instituto Tecnológico Autónomo de México (ITAM) BS, Applied Mathematics

Research interests

  • Global health
  • Nutrition
  • Obesity

Research activities

I am interested in collaborative research in nutritional epidemiology. My dissertation research reviewed and evaluated methodological and practical implications for using latent class models to derive and study dietary patterns over time. Statistical interests: longitudinal data analysis, linear mixed models, multilevel linear models, and generalized latent class models.


Key publications

Mendez M, Sotres-Alvarez D, Miles DR, Slining M and Popkin BM. Shifts in the recent distribution of dietary intake among US children ages 2-18 reflect potential abatement of earlier declining trends. J Nutr. 2014 Aug;144(8):1291-7. [PMID: 24919689]

Siega-Riz AM, Sotres-Alvarez D, Ayala GX, Ginsberg M, Himes JH, Liu K, Loria CM, Mossavar-Rahmani Y, Rock CL, Rosemond B, Shor-Posner G, Van Horn L. Food Group and Nutrient Dietary Intakes by Hispanic/Latino background among the Hispanic Community Health Study/Study of Latinos (HCHS/SOL. Am J Clin Nutr. 2014 Apr 23;99(6):1487-1498

Sotres-Alvarez D, Herring AH and Siega-Riz AM. Latent transition models to study women changing dietary patterns from pregnancy to one year postpartum. Am J Epidemiol. 2013;177(8): 852–861.

Sotres-Alvarez D, Herring AH, Siega-Riz AM. Latent Class Analysis Is Useful to Classify Pregnant Women into Dietary Patterns. J Nutr. 2010 Dec; 140(12): 2253-2259. [PMID: 20962151]