» Articles » PMID: 34116723

Automated Self-Administered 24-H Dietary Assessment Tool (ASA24) Recalls for Parent Proxy-reporting of Children's Intake (> 4 Years of Age): a Feasibility Study

Overview
Publisher Biomed Central
Date 2021 Jun 12
PMID 34116723
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Robust measurement of dietary intake in population studies of children is critical to better understand the diet-health nexus. It is unknown whether parent proxy-report of children's dietary intake through online 24-h recalls is feasible in large cohort studies.

Objectives: The primary objective of this study was to describe the feasibility of the Automated Self-Administered 24-h Dietary Assessment Tool (ASA24) to measure parent proxy-reported child dietary intake. A secondary objective was to compare intake estimates with those from national surveillance.

Methods: Parents of children aged 4-15 years participating in the TARGet Kids! research network in Toronto, Canada were invited by email to complete an online ASA24-Canada-2016 recall for their child, with a subsample prompted to complete a second recall about 2 weeks later. Descriptive statistics were reported for ASA24 completion characteristics and intake of several nutrients. Comparisons were made to the 2015 Canadian Community Health Survey (CCHS) 24-h recall data.

Results: A total of 163 parents completed the first recall, and 46 completed the second, reflecting response rates of 35% and 59%, respectively. Seven (4%) first recalls and one (2%) second recall were excluded for ineligibility, missing data, or inadvertent parental self-report. The median number of foods reported on the first recall was 18.0 (interquartile range (IQR) 6.0) and median time to complete was 29.5 min (IQR 17.0). Nutrient intakes for energy, total fat, protein, carbohydrates, fiber, sodium, total sugars, and added sugars were similar across the two recalls and the CCHS.

Conclusions: The ASA24 was found to be feasible for parent proxy-reporting of children's intake and to yield intake estimates comparable to those from national surveillance, but strategies are needed to increase response rate and support completion to enhance generalizability.

Citing Articles

Theoretically Based Factors Affecting Diet Quality of Preschool Children: A Cross-Sectional Study.

Oudat Q, Couch S, Miller E, Lee R, Bakas T Children (Basel). 2025; 12(2).

PMID: 40003216 PMC: 11853911. DOI: 10.3390/children12020114.


Microbiome-based correction for random errors in nutrient profiles derived from self-reported dietary assessments.

Wang T, Fu Y, Shuai M, Zheng J, Zhu L, Chan A Nat Commun. 2024; 15(1):9112.

PMID: 39438479 PMC: 11496760. DOI: 10.1038/s41467-024-53567-w.


Microbiome-based correction for random errors in nutrient profiles derived from self-reported dietary assessments.

Wang T, Fu Y, Shuai M, Zheng J, Zhu L, Chan A bioRxiv. 2023; .

PMID: 38045337 PMC: 10690180. DOI: 10.1101/2023.11.21.568102.


Validation of a parent proxy-reported beverage screener compared to a 24-hour dietary recall for the measurement of sugar-containing beverage intake among young children.

Sharpe I, Kirkpatrick S, Smith B, Keown-Stoneman C, Omand J, Vanderhout S PLoS One. 2023; 18(7):e0288768.

PMID: 37471316 PMC: 10358879. DOI: 10.1371/journal.pone.0288768.


Dietary Behavior Assessments in Children-A Mixed-Method Research Exploring the Perspective of Pediatric Dieticians on Innovative Technologies.

de Gooijer F, Lasschuijt M, Wit R, Feskens E, Brouwer-Brolsma E, Camps G Curr Dev Nutr. 2023; 7(6):100091.

PMID: 37213716 PMC: 10196961. DOI: 10.1016/j.cdnut.2023.100091.


References
1.
Baxter S, Smith A, Litaker M, Guinn C, Shaffer N, Baglio M . Recency affects reporting accuracy of children's dietary recalls. Ann Epidemiol. 2004; 14(6):385-90. DOI: 10.1016/j.annepidem.2003.07.003. View

2.
Illner A, Harttig U, Tognon G, Palli D, Salvini S, Bower E . Feasibility of innovative dietary assessment in epidemiological studies using the approach of combining different assessment instruments. Public Health Nutr. 2011; 14(6):1055-63. DOI: 10.1017/S1368980010003587. View

3.
Alam S, Lang J, Drucker A, Gotay C, Kozloff N, Mate K . Assessment of the burden of diseases and injuries attributable to risk factors in Canada from 1990 to 2016: an analysis of the Global Burden of Disease Study. CMAJ Open. 2019; 7(1):E140-E148. PMC: 6397034. DOI: 10.9778/cmajo.20180137. View

4.
Kirkpatrick S, Subar A, Douglass D, Zimmerman T, Thompson F, Kahle L . Performance of the Automated Self-Administered 24-hour Recall relative to a measure of true intakes and to an interviewer-administered 24-h recall. Am J Clin Nutr. 2014; 100(1):233-40. PMC: 4144101. DOI: 10.3945/ajcn.114.083238. View

5.
Krehbiel C, DuPaul G, Hoffman J . A Validation Study of the Automated Self-Administered 24-Hour Dietary Recall for Children, 2014 Version, at School Lunch. J Acad Nutr Diet. 2016; 117(5):715-724. DOI: 10.1016/j.jand.2016.10.028. View