Related Experiment Videos
Future of dietary exposure assessment
1Department of Nutrition and Epidemiology, University of North Carolina, Chapel Hill 27599-7400.
The American Journal of Clinical Nutrition
|March 1, 1995
Summary
Accurate nutritional epidemiology relies on precise dietary exposure assessment. Future methods will likely involve technology-enhanced subjective tools like computer-assisted self-interviewing (CASI) for improved food exposure data.
Area of Science:
- Nutritional Epidemiology
- Dietary Assessment Methods
- Biomarkers of Exposure
Background:
- Nutritional epidemiology requires valid assessment of individual exposure to food-borne factors.
- Current dietary assessment tools are often simplistic, placing a significant cognitive burden on subjects.
- Limitations exist in the widespread application of biomarkers for all exposure times and substances.
Purpose of the Study:
- To explore alternative and future approaches for accurate dietary exposure assessment in nutritional epidemiology.
- To highlight the potential of technology-enhanced subjective dietary assessment methods.
- To identify computer-assisted self-interviewing (CASI) as a promising future approach.
Main Methods:
- Review of current subjective dietary assessment tools and their limitations.
- Discussion of the role and limitations of biomarkers of exposure (external, internal, target tissue).
- Exploration of technological advancements in subjective methods, including audio and visual aids.
- Emphasis on automated data collection and validation features.
Main Results:
- Current subjective methods are limited by reliance on memory and interpretation, impacting data validity.
- Biomarkers are valuable but currently cover only a limited range of exposures.
- Technological integration, such as audio and visual aids, can overcome literacy and language barriers.
- Automated checks enhance data completeness and accuracy.
Conclusions:
- The future of dietary assessment in nutritional epidemiology lies in developing technologically advanced subjective methods.
- Computer-assisted self-interviewing (CASI) offers a potentially economic and cognitively supportive solution.
- CASI can improve the accuracy and efficiency of assessing food-borne exposures.