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The predictors of diet quality among Australian children aged 3.5 years

Collins, Laura J., Lacy, Kathleen E., Campbell, Karen J. and McNaughton, Sarah A. 2016, The predictors of diet quality among Australian children aged 3.5 years, Journal of the academy of nutrition and dietetics, vol. 116, no. 7, pp. 1114-1126.e2, doi: 10.1016/j.jand.2015.12.014.

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Title The predictors of diet quality among Australian children aged 3.5 years
Author(s) Collins, Laura J.
Lacy, Kathleen E.ORCID iD for Lacy, Kathleen E. orcid.org/0000-0002-2982-4455
Campbell, Karen J.ORCID iD for Campbell, Karen J. orcid.org/0000-0002-4499-3396
McNaughton, Sarah A.ORCID iD for McNaughton, Sarah A. orcid.org/0000-0001-5936-9820
Journal name Journal of the academy of nutrition and dietetics
Volume number 116
Issue number 7
Start page 1114
End page 1126.e2
Total pages 15
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2016-07
ISSN 2212-2672
Keyword(s) diet quality
nutrition
parenting
predictors
preschool children
Summary BACKGROUND: It is critical to promote healthy eating early in life.

OBJECTIVE: The aim of this study was to examine diet quality and its predictors among Australian preschool-aged children. DESIGN: Diet was assessed at age 3.5 years using multiple 24-hour recalls. Diet quality was assessed using an adapted version of the Revised Children's Diet Quality Index (RC-DQI). Potential predictors of diet quality were from questionnaires at age 3, 9, and 18 months and informed by the ecologic model of childhood overweight. Potential predictors included child's sex, age of introduction to solid foods, breastfeeding status, food acceptance, maternal nutrition knowledge, modeling of healthy eating, self-efficacy, education, and home food availability.

PARTICIPANTS: Data from 244 children participating in the Melbourne Infant Feeding, Activity, and Nutrition Trial in 2008-2010 and follow-up data collection in 2011-2013 were examined.

MAIN OUTCOME MEASURES: Diet quality at age 3.5 years.

STATISTICAL ANALYSES PERFORMED: Bivariate logistic regression was performed to assess the relationship between diet quality and each predictor. A multivariable logistic regression model accounting for influences of covariates, treatment arm, and clustering by group tested associations between diet quality and significant predictors from bivariate analyses.

RESULTS: RC-DQI scores had a mean±standard deviation score of 62.8±8.3 points out of a maximum of 85 points. Breastfeeding status (odds ratio [OR] 2.34, 95% CI 1.33 to 4.10) and maternal modeling of healthy eating (OR 1.75, 95% CI 1.01 to 3.03) were positively associated with RC-DQI scores. Both breastfeeding status (OR 3.09, 95% CI 1.63 to 5.85) and modeling (OR 2.01, 95% CI 1.04 to 3.88) remained positively associated with diet quality after adjustment for child age, body mass index z score, energy intake, treatment arm, and clustering.

CONCLUSIONS: Breastfeeding status and modeling of healthy eating were independently associated with children's diet quality. Early intervention could assist mothers to practice these behaviors to provide support for improving child diet quality.
Language eng
DOI 10.1016/j.jand.2015.12.014
Field of Research 111199 Nutrition and Dietetics not elsewhere classified
Socio Economic Objective 920501 Child Health
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Grant ID NHMRC 1008879
Copyright notice ©2016, Academy of Nutrition and Dietetics
Free to Read? Yes
Free to Read Start Date 2017-08-01
Use Rights Creative Commons Attribution Non-Commercial No-Derivatives licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30084367

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.