OBJECTIVE: To examine the relative validity of a multicultural FFQ used to derive nutrient intake estimates in a community dwelling cohort of younger and older men and women compared with those derived from 3 day (3d) diet records during the same time-frame. DESIGN: Cross-sectional analyses. SETTING: The Baltimore Longitudinal Study of Aging (BLSA) conducted in the Baltimore, MD and District of Columbia areas. PARTICIPANTS: A subset (n=468, aged 26 to 95 years (y), 47% female, 65% non-Hispanic white) from the BLSA, with complete data for nutrient estimates from a FFQ and 3d diet records. MEASUREMENTS: Pearson's correlation coefficients (energy adjusted and de-attenuated) for intakes of energy and 26 nutrients estimated from the FFQ and the mean of 3d diet records were calculated in a cross-sectional analysis. Rankings of individuals based on FFQ for various nutrient intakes were compared to corresponding rankings based on the average of the 3d diet records. Bland Altman plots were examined for a visual representation of agreement between both assessment methods. All analyses were stratified by sex and age (above and below 65 y). RESULTS: Median nutrient intake estimates tended to be higher from the FFQ compared to average 3d diet records. Energy adjusted and de-attenuated correlations between FFQ intake estimates and records ranged from 0.23 (sodium intake in men) to 0.81 (alcohol intake in women). The FFQ classified more than 70 percent of participants in either the same or adjacent quartile categories for all nutrients examined. Bland Altman plots demonstrated good agreement between the assessment methods for most nutrients. CONCLUSIONS: This FFQ provides reasonably valid estimates of dietary intakes of younger and older participants of the BLSA.
OBJECTIVE: To examine the relative validity of a multicultural FFQ used to derive nutrient intake estimates in a community dwelling cohort of younger and older men and women compared with those derived from 3 day (3d) diet records during the same time-frame. DESIGN: Cross-sectional analyses. SETTING: The Baltimore Longitudinal Study of Aging (BLSA) conducted in the Baltimore, MD and District of Columbia areas. PARTICIPANTS: A subset (n=468, aged 26 to 95 years (y), 47% female, 65% non-Hispanic white) from the BLSA, with complete data for nutrient estimates from a FFQ and 3d diet records. MEASUREMENTS: Pearson's correlation coefficients (energy adjusted and de-attenuated) for intakes of energy and 26 nutrients estimated from the FFQ and the mean of 3d diet records were calculated in a cross-sectional analysis. Rankings of individuals based on FFQ for various nutrient intakes were compared to corresponding rankings based on the average of the 3d diet records. Bland Altman plots were examined for a visual representation of agreement between both assessment methods. All analyses were stratified by sex and age (above and below 65 y). RESULTS: Median nutrient intake estimates tended to be higher from the FFQ compared to average 3d diet records. Energy adjusted and de-attenuated correlations between FFQ intake estimates and records ranged from 0.23 (sodium intake in men) to 0.81 (alcohol intake in women). The FFQ classified more than 70 percent of participants in either the same or adjacent quartile categories for all nutrients examined. Bland Altman plots demonstrated good agreement between the assessment methods for most nutrients. CONCLUSIONS: This FFQ provides reasonably valid estimates of dietary intakes of younger and older participants of the BLSA.
Authors: E Wynn Dumartheray; M-A Krieg; J Cornuz; D R Whittamore; D P Lovell; P Burckhardt; S A Lanham-New Journal: J Hum Nutr Diet Date: 2006-10 Impact factor: 3.089
Authors: Laura Paalanen; Satu Männistö; Mikko J Virtanen; Paul Knekt; Leena Räsänen; Jukka Montonen; Pirjo Pietinen Journal: J Clin Epidemiol Date: 2006-05-30 Impact factor: 6.437
Authors: D C Mitchell; K L Tucker; J Maras; F R Lawrence; H Smiciklas-Wright; G L Jensen; C D Still; T J Hartman Journal: J Nutr Health Aging Date: 2012-07 Impact factor: 4.075
Authors: Lisa N Arsenault; Nirupa Matthan; Tammy M Scott; Gerard Dallal; Alice H Lichtenstein; Marshal F Folstein; Irwin Rosenberg; Katherine L Tucker Journal: Am J Epidemiol Date: 2009-05-11 Impact factor: 4.897
Authors: A Hajek; T Luck; C Brettschneider; T Posselt; C Lange; B Wiese; S Steinmann; S Weyerer; J Werle; M Pentzek; A Fuchs; J Stein; H Bickel; E Mösch; M Wagner; K Heser; W Maier; J M Scherer; S G Riedel-Heller; H-H König Journal: J Nutr Health Aging Date: 2017 Impact factor: 4.075
Authors: Adrien M Aubert; Anne Forhan; Blandine de Lauzon-Guillain; Ling-Wei Chen; Kinga Polanska; Wojciech Hanke; Agnieszka Jankowska; Sara M Mensink-Bout; Liesbeth Duijts; Matthew Suderman; Caroline L Relton; Sarah R Crozier; Nicholas C Harvey; Cyrus Cooper; Fionnuala M McAuliffe; Cecily C Kelleher; Catherine M Phillips; Barbara Heude; Jonathan Y Bernard Journal: Nutrients Date: 2019-11-08 Impact factor: 5.717