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Kroeger receives Career Enhancement Award

August 3, 2016

Cynthia M. Kroeger, PhD, post-doctoral fellow in the Nutrition Obesity Research Center (NORC) and Office of Energetics, recently won a Career Enhancement Award during UAB’s 2016 Fall Career Enhancement, Travel and Grant Incentive Awards competition. Designed to enrich career development, this monetary award will help fund Dr. Kroeger’s participation in the WHO/Cochrane/Cornell University Summer Institute for Systematic Review in Nutrition for Global Policy Making.

Dr. Kroeger and fellow attendees will glean insight from experts from WHO (World Health Organization), the Cochrane organization (which summarizes research evidence to assist in making informed treatment decisions), Cornell University, and the Micronutrient Initiative (which “provides affordable and innovative solutions to end micronutrient deficiencies”), who come together at the university’s campus to train in “the development of systematic reviews of nutrition interventions in populations.” Using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) tool, participants will learn to assess the soundness of evidence to evaluate and ensure the validity of recommendations.

“I am honored to receive support from UAB’s Office of Postdoctoral Education to attend the WHO/Cochrane/Cornell University Summer Institute. Spending two weeks immersed in learning methods for systematic reviews, from library and software resources to statistical and quality assessment methods, will be invaluable as I move forward with my projects at UAB,” says Dr. Kroeger.

Her research interests include the interactive role of physiological, cognitive, and social factors in obesity development and treatment, implementation science, research methods, and research transparency. She is currently funded (F32DK107157) to enhance her training in statistics and meta-research methods by assessing the prevalence of p-hacking and effect size estimation errors within peer-reviewed reports of dietary weight loss supplement studies and by developing training modules to improve data reproducibility.