Article

Performance of a short tool to assess dietary intakes of fruits and vegetables, percentage energy from fat and fibre

Risk Factor Surveillance and Methodology Branch, Applied Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, EPN 4016, 6130 Executive Blvd, MSC 7344, Bethesda, MD 20892-7344, USA.
Public Health Nutrition (Impact Factor: 2.68). 01/2005; 7(8):1097-105. DOI: 10.1079/PHN2004642
Source: PubMed

ABSTRACT

We describe the methods used to develop and score a 17-item 'screener' designed to estimate intake of fruit and vegetables, percentage energy from fat and fibre. The ability of this screener and a food-frequency questionnaire (FFQ) to measure these exposures is evaluated.
Using US national food consumption data, stepwise multiple regression was used to identify the foods to be included on the instrument; multiple regression analysis was used to develop scoring algorithms. The performance of the screener was evaluated in three different studies. Estimates of intakes measured by the screener and the FFQ were compared with true usual intake based on a measurement error model.
US adult population.
For development of instrument, n=9323 adults. For testing of instrument, adult men and women in three studies completing multiple 24-hour dietary recalls, FFQ and screeners, n=484, 462 and 416, respectively.
Median recalled intakes for examined exposures were generally estimated closely by the screener. In the various validation studies, the correlations between screener estimates and estimated true intake were 0.5-0.8. In general, the performances of the screener and the full FFQ were similar; estimates of attenuation were lower for screeners than for full FFQs.
When coupled with appropriate reference data, the screener approach described may yield useful estimates of intake, for both surveillance and epidemiological purposes.

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Available from: Frances E Thompson
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    • "The conceptual framework presented in Fig. 2shows the relationship between personal and environmental variables and behavior. Fat intake was assessed using six items from the NCI fat screener developed by Thompson and colleagues[43]. Items included regular fat sausage or bacon; regular fat cheese or cheese spread; French fries or hash browns; regular fat mayonnaise; regular fat salad dressings; and margarine, butter, or oil. Response options ranged from never or less than once per month to five or more times per week. "
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    • "Questionnaire data included demographics, medical history, medication use, and fasting and smoking status. The National Cancer Institute's 18-item Five-Factor Screener was used to assess dietary intake (Thompson et al., 2004). An OMRON HEM-907XL automatic inflation sphygmomanometer, portable stadiometer, Tanita body fat analyzer (Model TBF- 310T), and Cholestech LDX lipid analyzer were used to measure BP, height, weight and body composition, and nonfasting cholesterol and glucose, respectively. "
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    • "Items will be used to assess frequency of food intake in 16 broad categories to estimate intakes of fruits and vegetables, percentage energy from fat, and fiber diets [81]. "
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