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Picture-sort method for administering a food frequency questionnaire to older adults
Journal of the American Dietetic Association
|February 1, 1996
Summary
A picture-sort method for dietary assessment in older adults showed valid nutrient intake estimates comparable to 24-hour recalls. This approach may improve ease and participant satisfaction without compromising data quality.
Area of Science:
- Gerontology
- Nutritional Epidemiology
- Dietary Assessment Methods
Background:
- Accurate dietary assessment is crucial for understanding health in older adults.
- Traditional methods like food frequency questionnaires can be burdensome for this population.
- Developing user-friendly and valid dietary assessment tools is an ongoing research priority.
Purpose of the Study:
- To evaluate the validity of a picture-sort method for administering the National Cancer Institute food frequency questionnaire.
- To compare nutrient intake estimates derived from the picture-sort method with those from 24-hour recalls in older adults.
Main Methods:
- A picture-sort interview was conducted in-home, followed by a 24-hour recall on the same day.
- Five additional 24-hour recalls were administered monthly to 96 older adults (aged 66-100 years).
- Nutrient intake estimates (macronutrients, cholesterol, fiber, vitamins, minerals) were compared between the picture-sort and recall methods.
Main Results:
- Correlations between picture-sort and recall estimates, after correction for attenuation, ranged from 0.26 (beta carotene) to 0.74 (saturated fat/cholesterol).
- Pearson correlation coefficients for macronutrients were between 0.41 (protein) and 0.74.
- Correlations for vitamins and minerals ranged from 0.26 to 0.62 (calcium).
Conclusions:
- The picture-sort method provides valid estimates of mean nutrient intakes in older adults, comparable to 24-hour recalls.
- This method demonstrates similar correlations with reference data as conventional food frequency questionnaires.
- The picture-sort approach may enhance interview administration ease and participant engagement without sacrificing data quality.