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Patterns in food use and their associations with nutrient intakes
E Randall1, J R Marshall, S Graham
1Program in Nutrition, State University of New York, Buffalo.
The American Journal of Clinical Nutrition
|October 1, 1990
Summary
Researchers developed dietary patterns using food frequency data to better assess cancer risk factors. This method offers a more comprehensive understanding of diet
Area of Science:
- Epidemiology
- Nutritional Science
- Biostatistics
Background:
- Dietary patterns are crucial in understanding diet-related health outcomes.
- Previous methods for assessing dietary risk factors may not fully capture complex dietary exposures.
- The Western New York Diet Study provided a foundation for this research.
Purpose of the Study:
- To develop and validate measures of dietary patterns for use in epidemiologic research.
- To explore the relationship between identified dietary patterns and key nutrients relevant to cancer.
- To assess how dietary patterns relate to potential confounding variables like age, ethnicity, and income.
Main Methods:
- Factor analysis was applied to food frequency data from 1475 male and 780 female control subjects.
- Nine dietary pattern factors were extracted for each gender.
- Correlational analyses examined relationships between dietary patterns and intakes of energy, total fat, dietary fiber, and vitamins A and C.
Main Results:
- The study identified nine distinct dietary patterns for males and females.
- Findings suggest that traditional measures of nutrient intake (quantiles) reflect varied dietary patterns.
- These dietary patterns showed potential associations with age, ethnicity, and income, factors also linked to cancer risk.
Conclusions:
- Dietary pattern analysis provides a more comprehensive measure of dietary exposure than single nutrient assessments.
- This approach can improve the accuracy of dietary risk assessment in epidemiologic studies.
- Understanding dietary patterns is essential for cancer research and prevention strategies.