BACKGROUND: Population surveys often collect dietary intake data by using one or two 24-h recalls (24HR), mainly to minimize cost and respondent burden. However, in order to increase accuracy in estimating usual intake distributions, a larger number of 24HRs may be advisable. OBJECTIVE: The purpose of this study was to identify whether estimates of the intake and prevalence of nutrient inadequacy based on 3 d are better than those that are based on 1 d of information. METHODS: We conducted a national survey in 31 cities in Mexico using a sample that included 1073 individuals of both sexes, from birth through 79 y of age. Dietary information was collected by using 3 multiple-pass 24HRs (on nonconsecutive days). We estimated intake, adequacy, and prevalence of energy and nutrient inadequacy using information from 1 d and also from 3 d, adjusted for day-to-day variability, using PC-SIDE software. The prevalence of inadequacy was estimated by using the reference values proposed by the US Institute of Medicine. RESULTS: We found high prevalences of inadequacy for fiber (73-99%), iron (31-94%), calcium (2-85%), vitamin A (0.1-61%), and folates (2-80%) among various age and sex groups. Energy intake results showed that the variance in the estimated usual 3-d intake distribution was smaller than the variance of distribution estimated from a single daily intake. We observed bigger differences in prevalence of inadequacy between 1 and 3 d for several nutrients. For example, in preschool children, the prevalence of inadequacy of folate and calcium was 30% and 43%, respectively, with 1-d recalls and 3.7% and 4.6%, respectively, with 3-d recalls. CONCLUSIONS: We conclude that the adjusting-by-variance method using 3 d of 24HR allows for a more accurate estimation of usual intake, dietary adequacy, and prevalence of inadequacy, thereby reducing the measurement error that could compromise the results and conclusions of surveys.
BACKGROUND: Population surveys often collect dietary intake data by using one or two 24-h recalls (24HR), mainly to minimize cost and respondent burden. However, in order to increase accuracy in estimating usual intake distributions, a larger number of 24HRs may be advisable. OBJECTIVE: The purpose of this study was to identify whether estimates of the intake and prevalence of nutrient inadequacy based on 3 d are better than those that are based on 1 d of information. METHODS: We conducted a national survey in 31 cities in Mexico using a sample that included 1073 individuals of both sexes, from birth through 79 y of age. Dietary information was collected by using 3 multiple-pass 24HRs (on nonconsecutive days). We estimated intake, adequacy, and prevalence of energy and nutrient inadequacy using information from 1 d and also from 3 d, adjusted for day-to-day variability, using PC-SIDE software. The prevalence of inadequacy was estimated by using the reference values proposed by the US Institute of Medicine. RESULTS: We found high prevalences of inadequacy for fiber (73-99%), iron (31-94%), calcium (2-85%), vitamin A (0.1-61%), and folates (2-80%) among various age and sex groups. Energy intake results showed that the variance in the estimated usual 3-d intake distribution was smaller than the variance of distribution estimated from a single daily intake. We observed bigger differences in prevalence of inadequacy between 1 and 3 d for several nutrients. For example, in preschool children, the prevalence of inadequacy of folate and calcium was 30% and 43%, respectively, with 1-d recalls and 3.7% and 4.6%, respectively, with 3-d recalls. CONCLUSIONS: We conclude that the adjusting-by-variance method using 3 d of 24HR allows for a more accurate estimation of usual intake, dietary adequacy, and prevalence of inadequacy, thereby reducing the measurement error that could compromise the results and conclusions of surveys.
Authors: Ana Gabriella Costa Lemos da Silva; Amanda de Sousa Rebouças; Beatriz Maria Alves Mendonça; Danna Calina Nogueira E Silva; Roberto Dimenstein; Karla Danielly da Silva Ribeiro Journal: Matern Child Nutr Date: 2019-01-30 Impact factor: 3.092
Authors: Caitlin D French; Joanne E Arsenault; Charles D Arnold; Demewoz Haile; Hanqi Luo; Kevin W Dodd; Stephen A Vosti; Carolyn M Slupsky; Reina Engle-Stone Journal: Adv Nutr Date: 2021-03-31 Impact factor: 8.701
Authors: Rebecca L Lander; K Michael Hambidge; Nancy F Krebs; Jamie E Westcott; Ana Garces; Lester Figueroa; Gabriela Tejeda; Adrien Lokangaka; Tshilenge S Diba; Manjunath S Somannavar; Ranjitha Honnayya; Sumera A Ali; Umber S Khan; Elizabeth M McClure; Vanessa R Thorsten; Kristen B Stolka Journal: Food Nutr Res Date: 2017-04-11 Impact factor: 3.894
Authors: Alejandro Gaytán-González; María de Jesús Ocampo-Alfaro; Maritza Arroniz-Rivera; Francisco Torres-Naranjo; Roberto Gabriel González-Mendoza; Martha Gil-Barreiro; Juan Ricardo López-Taylor Journal: J Aging Res Date: 2019-04-04
Authors: Alejandro Gaytán-González; María de Jesús Ocampo-Alfaro; Francisco Torres-Naranjo; Maritza Arroniz-Rivera; Roberto Gabriel González-Mendoza; Martha Gil-Barreiro; Juan Ricardo López-Taylor Journal: Geriatrics (Basel) Date: 2020-01-06
Authors: Anna Danielewicz; Jakub Morze; Małgorzata Obara-Gołębiowska; Mariusz Przybyłowicz; Katarzyna E Przybyłowicz Journal: Sci Rep Date: 2019-12-12 Impact factor: 4.379