Predictors of Free Sugars Intake Trajectories across Early Childhood—Results from the SMILE Birth Cohort Study
Open Access
- 2 February 2024
- journal article
- research article
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 21 (2) , 174
Abstract
Foods and beverages high in free sugars can displace healthier choices and increase the risk of weight gain, dental caries, and noncommunicable diseases. Little is known about the intake of free sugars across early childhood. This study aimed to examine the longitudinal intake from 1 to 5 years of free sugars and identify the independent maternal and child-related predictors of intake in a cohort of Australian children participating in the Study of Mothers’ and Infants’ Life Events Affecting Oral Health (SMILE). Free sugars intake (FSI) was previously estimated at 1, 2, and 5 years of age, and three distinct FSI trajectories were determined using group-based trajectory modelling analysis. This study utilized multinomial logistic regression to identify the maternal and child-related predictors of the trajectories. The risk of following the ‘high and increasing’ trajectory of FSI compared to the ‘low and fast increasing’ trajectory was inversely associated with socio-economic disadvantage (aRRR 0.83; 95% CI 0.75–0.92; p < 0.001), lower for females (aRRR 0.56; 95% CI 0.32–0.98; p = 0.042), and higher in children with two or more older siblings at birth (aRRR 2.32; 95% CI 0.99–5.42; p = 0.052). Differences in trajectories of FSI were evident from an early age and a high trajectory of FSI was associated primarily with socio-economic disadvantage, providing another example of diet quality following a social gradient.Keywords
Funding Information
- Australian National Health and Medical Research Council (APP1046219 2013-2017, APP144595 2018-2022)
This publication has 40 references indexed in Scilit:
- Effect on Caries of Restricting Sugars IntakeJournal of Dental Research, 2013
- Dietary patterns of Australian children aged 14 and 24 months, and associations with socio-demographic factors and adiposityEuropean Journal of Clinical Nutrition, 2013
- Maternal correlates of maternal child feeding practices: a systematic reviewMaternal & Child Nutrition, 2012
- Socioeconomic variation in diet and activity‐related behaviours of Australian children and adolescents aged 2–16 yearsPediatric Obesity, 2012
- Evidence-Based Guideline of the German Nutrition Society: Carbohydrate Intake and Prevention of Nutrition-Related DiseasesAnnals of Nutrition and Metabolism, 2012
- Demographic and socio-economic factors related to food intake and adherence to nutritional recommendations in a cohort of pre-school childrenPublic Health Nutrition, 2011
- Influences on child fruit and vegetable intake: sociodemographic, parental and child factors in a longitudinal cohort studyPublic Health Nutrition, 2010
- Multiple imputation for missing data in epidemiological and clinical research: potential and pitfallsBMJ, 2009
- Dietary patterns among a national sample of British children aged 1½ – 4½; yearsPublic Health Nutrition, 2009
- Multivariate analysis of diet among three-year-old children and associations with socio-demographic characteristicsEuropean Journal of Clinical Nutrition, 2000