This products is free for those who attended FNCE® 2019.
Interpreting epidemiologic studies of diet and disease outcomes is complex due to the many methodological issues and sources of uncertainty. Indeed, anyone who tries to make scientific sense about the relationship between food and disease is faced with difficult problems of interpretation that arise from a combination of deep complexity and the well-known limitations of observational studies. The resulting uncertainty makes reliable scientific interpretation an even greater challenge for epidemiologists themselves, nutrition scientists, clinicians, public health officials, and regulators. Who, after all, is not aware of the "on again, off again" feature of specific recommendations that seem to emerge every week from the media's interpretation of the latest epidemiology study?
The communication of scientific information is of fundamental importance to effective evaluation of current standards of practice; informing of public health policy; and framing of regulatory, political, legal, and ethical guidelines. However, the accurate and objective dissemination of scientific information is often compromised by researcher bias, methodological limitations, a lack of scientific knowledge, and fraudulent reporting of findings, among other factors. This session will examine these difficulties and the opportunities that may arise from them. Specific areas, such as coffee intake and red meat consumption, will be used as examples to illustrate the challenges and complexities of investigating the diet-disease connection.
CPE Level: 3- Advanced
Learning Need Codes: 4050, 9060, 9020
- 11.1.2 Develops and implements evaluation tools and methodologies to test products and services.
- 11.2.5 Reviews and evaluates science and evidence-based literature, to validate claims.
- 4.1.2 Interprets and integrates evidence-based research and literature in decision making.
- Describe the challenges of studying diet and disease.
- Identify the various study design tools (e.g., observational v. experimental) used to evaluate diet and disease.
- Implement systematic review methodology approaches to draw conclusions on the totality of evidence across nutritional epidemiology studies.
- Deanna Hoelscher, PhD, RDN, LD, CNS, FISBNPA
- Dominik Alexander, PhD, MSPH