Validation of nutrient intake using an FFQ and repeated 24 h recalls in black and white subjects of the Adventist Health Study-2 (AHS-2)

Abstract

Objective To validate a 204-item quantitative FFQ for measurement of nutrient intake in the Adventist Health Study-2 (AHS-2). Design Calibration study participants were randomly selected from the AHS-2 cohort by church, and then subject-within-church. Each participant provided two sets of three weighted 24 h dietary recalls and a 204-item FFQ. Race-specific correlation coefficients (r), corrected for attenuation from within-person variation in the recalls, were calculated for selected energy-adjusted macro- and micronutrients. Setting Adult members of the AHS-2 cohort geographically spread throughout the USA and Canada. Subjects Calibration study participants included 461 blacks of American and Caribbean origin and 550 whites. Results Calibration study subjects represented the total cohort very well with respect to demographic variables. Approximately 33 % were males. Whites were older, had higher education and lower BMI compared with blacks. Across fifty-one variables, average deattenuated energy-adjusted validity correlations were 0·60 in whites and 0·52 in blacks. Individual components of protein had validity ranging from 0·40 to 0·68 in blacks and from 0·63 to 0·85 in whites; for total fat and fatty acids, validity ranged from 0·43 to 0·75 in blacks and from 0·46 to 0·77 in whites. Of the eighteen micronutrients assessed, sixteen in blacks and sixteen in whites had deattenuated energy-adjusted correlations ≥0·4, averaging 0·60 and 0·53 in whites and blacks, respectively. Conclusions With few exceptions validity coefficients were moderate to high for macronutrients, fatty acids, vitamins, minerals and fibre. We expect to successfully use these data for measurement error correction in analyses of diet and disease risk.

Validity and calibration of the FFQ used in the Melbourne Collaborative Cohort Study

“…For unadjusted nutrients the validity and calibration coefficients tended to be higher for men than women, however after energy adjustment the differences between men and women were reduced (7) . In the NIH-AARP study, validity coefficients for energy-adjusted nutrients ranged from 0·36 to 0·76, and the calibration coefficients from 0·24 to 0·68, which compared well with results of three other validation studies reviewed by the authors (28)(29)(30) and are slightly lower than the ranges that we observed in Australian-born participants; although all these studies are likely to overestimate the validity of the test instrument. Among the Australian-born, intakes of retinol equivalents (defined as vitamin A expressed as retinol equivalents = retinol + β-carotene/6 + α-carotene/12 + cryptoxanthin/12) showed a poor correlation with the 24HR data and also had the lowest calibration coefficient.…”

Validity of a food frequency questionnaire to assess food intake in Mexican adolescent and adult population

“…25,30 In general, the CC computed for each nutrient in the present study were similar or slightly lower than the ones reported in other validation studies carried out among adolescent [26][27][28] and adult population. [22][23][24][25]30 In our study, the average PCC, between SFFQ and two 24DRs, for absolute nutrient intake was 0.365 for adults and 0.374 for adolescents. For both adults and adolescents, corrections by energy adjustment increased the observed CC for some nutrients, but decreased the CC for the majority.…”

“…20,[22][23][24][25][26][27][28] This possibly results when people ; the average of two 24 hour dietary recalls ‡ All nutrients were log-transformed § The energy-adjusted correlations between dietary methods use the residuals from regressing each nutrient on the total calories (residual method) # The deattenuated correlation coefficient was calculated using the ratio of the within-to between-person variance measured from the 24DRs. The formula used to calculate the corrected correlation was: r c = r o √1+λ/n where r c is the corrected correlation between the energy adjusted nutrient, r o is the observed correlation, λ is the ratio of within-and between-person variances, and n is the number of replicated recalls (n=2) & P-value <0.001 ≠ P-value <0.01 ∞ P-value <0.05 ø Not significant…”

Comparisons of 6-n-Propylthiouracil (PROP) Sensitivity, Food Liking and Food Intake between Vegetarian and Non-Vegetarian Women

“…The FFQ includes >135 food items that all relate to the diet during the previous year in ten categories: fruits and juices; vegetables and grains; meat, poultry, eggs and fish; mixed dishes; breads, salty snacks, spreads; breakfast cereals; sweets; dairy products; beverages; and foods to be added. The FFQ has been validated against 24-hour recall data [53,54]. Upon completion of the FFQ, a registered dietitian individually reviewed the FFQ, and any discrepancies/questions were addressed.…”