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Supply and demand: a framework for explaining variability in dietary intake and its impact on data
1University of British Columbia School of Nursing, Canada.
Nutrition and Health
|January 1, 1997
Summary
Understanding food supply and demand is crucial for accurate dietary intake measurement. This study explores how consumption curves impact nutritional data variability and usual intake estimations.
Area of Science:
- Nutrition Science
- Dietary Assessment Methodology
Background:
- Nutrition significantly impacts health and disease outcomes.
- Variability in dietary intake data presents a challenge for accurate assessment.
Purpose of the Study:
- To investigate the influence of supply and demand on dietary data variability.
- To analyze the relationship between consumption data and usual intake estimates.
Main Methods:
- Identification and analysis of food consumption curves based on supply and demand.
- Categorization of consumption curves into horizontal (staples) and variable (time-dependent) types.
- Evaluation of measurement challenges for usual intake based on curve types.
Main Results:
- Two distinct food consumption curve patterns were identified: horizontal and time-varying.
- Foods with horizontal consumption curves allow for straightforward usual intake measurement.
- Foods with time-varying consumption curves pose measurement challenges due to temporal fluctuations.
Conclusions:
- The unique properties of time-varying food consumption must be considered in intake calculations.
- Suggestions are provided to improve the measurement of consumption for these foods.
- Acknowledging supply and demand dynamics can enhance existing dietary intake methodologies.