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Maternal nutrition, infants and children

Dietary patterns of Australian children aged 14 and 24 months, and associations with socio-demographic factors and adiposity

European Journal of Clinical Nutrition volume 67, pages 638–645 (2013)Cite this article

Subjects

Abstract

Background/Objectives:

Previous research has shown, in predominantly European populations, that dietary patterns are evident early in life. However, little is known about early-life dietary patterns in Australian children. We aimed to describe dietary patterns of Australian toddlers and their associations with socio-demographic characteristics and adiposity.

Subjects/Methods:

Principal component analysis was applied to 3 days (1 × 24-h recall and 2 × 24-h record) data of 14 (n=552)- and 24 (n=493)-month-old children from two Australian studies, NOURISH and South Australian Infant Dietary Intake (SAIDI). Associations with dietary patterns were investigated using regression analyses.

Results:

Two patterns were identified at both ages. At 14 months, the first pattern was characterised by fruit, grains, vegetables, cheese and nuts/seeds (‘14-month core foods’) and the second pattern was characterised by white bread, milk, spreads, juice and ice-cream (‘basic combination’). Similarly, at 24 months the ‘24-month core foods’ pattern included fruit, vegetables, dairy, nuts/seeds, meat and water, whereas the ‘non-core foods’ included white bread, spreads, sweetened beverages, snacks, chocolate and processed meat. Lower maternal age and earlier breastfeeding cessation were associated with higher ‘basic combination’ and ‘non-core foods’ pattern scores, whereas earlier and later solid introduction were associated with higher ‘basic combination’ and ‘24-month core foods’ pattern scores, respectively. Patterns were not associated with body mass index (BMI) z-score.

Conclusions:

Dietary patterns reflecting core and non-core food intake are identifiable in Australian toddlers. These findings support the need to intervene early with parents to promote healthy eating in children and can inform future investigations on the effects of early diet on long-term health.

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References

  1. Hu FB . Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 2002; 13: 3–9.

    Article  CAS  Google Scholar 

  2. Moeller SM, Reedy J, Millen AE, Dixon LB, Newby PK, Tucker KL et al. Dietary patterns: challenges and opportunities in dietary patterns research an Experimental Biology workshop, April 1, 2006. J Am Diet Assoc 2007; 107: 1233–1239.

    Article  Google Scholar 

  3. Smithers LG, Brazionis L, Golley RK, Mittinty MN, Northstone K, Emmett P et al. Associations between dietary patterns at 6 and 15 months of age and sociodemographic factors. Eur J Clin Nutr 2012; 66: 658–666.

    Article  CAS  Google Scholar 

  4. Smithers LG, Golley RK, Brazionis L, Lynch J . Methods for characterizing the diets of children under five and their association with nutrition and health outcomes: a systematic review. Nutr Rev 2011; 69: 449–467.

    Article  Google Scholar 

  5. Newby PK, Tucker KL . Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 2004; 62: 177–203.

    Article  CAS  Google Scholar 

  6. Brennan SF, Cantwell MM, Cardwell CR, Velentzis LS, Woodside JV . Dietary patterns and breast cancer risk: a systematic review and meta-analysis. Am J Clin Nutr 2010; 91: 1294–1302.

    Article  CAS  Google Scholar 

  7. Kant AK . Dietary patterns: biomarkers and chronic disease risk. Appl Physiol Nutr Metab 2010; 35: 199–206.

    Article  Google Scholar 

  8. Kant AK . Dietary patterns and health outcomes. J Am Diet Assoc 2004; 104: 615–635.

    Article  Google Scholar 

  9. Birch L, Savage JS, Ventura A . Influences on the development of children’s eating behaviours: from infancy to adolescence. Can J Diet Pract Res 2007; 68: s1–s56.

    PubMed  PubMed Central  Google Scholar 

  10. Devine CM . A life course perspective: understanding food choices in time, social location, and history. J Nutr Educ Behav 2005; 37: 121–128.

    Article  Google Scholar 

  11. Birch LL . Development of food preferences. Annu Rev Nutr 1999; 19: 41–62.

    Article  CAS  Google Scholar 

  12. Drewnowski A . Taste preferences and food intake. Annu Rev Nutr 1997; 17: 237–253.

    Article  CAS  Google Scholar 

  13. Robinson SM, Marriott LD, Crozier SR, Harvey NC, Gale CR, Inskip HM et al. Variations in infant feeding practice are associated with body composition in childhood: a prospective cohort study. J Clin Endocrinol Metab 2009; 94: 2799–8050.

    Article  CAS  Google Scholar 

  14. Ystrom E, Niegel S, Vollrath ME . The impact of maternal negative affectivity on dietary patterns of 18-month-old children in the Norwegian Mother and Child Cohort Study. Matern Child Nutr 2009; 5: 234–242.

    Article  Google Scholar 

  15. Robinson S, Marriott L, Poole J, Crozier S, Borland S, Lawrence W et al. Dietary patterns in infancy: the importance of maternal and family influences on feeding practice. Br J Nutr 2007; 98: 1029–1037.

    Article  CAS  Google Scholar 

  16. Northstone K, Emmett P . The associations between feeding difficulties and behaviours and dietary patterns at 2 years of age: the ALSPAC cohort. Matern Child Nutr 2012; e-pub ahead of print 29 March 2012; doi:10.1111/j.740-8709.2012.00399.x.

  17. Kiefte-de Jong JC, de Vries JH, Bleeker SE, Jaddoe VW, Hofman A, Raat H et al. Socio-demographic and lifestyle determinants of ‘Western-like’ and ‘Health conscious’ dietary patterns in toddlers. Br J Nutr 2013; 109: 137–147.

    Article  CAS  Google Scholar 

  18. Commonwealth Scientific and Industrial Research Organisation (CSIRO). 2007 Australian National Children’s Nutrition and Physical Activity Survey: Main Findings. Australian Government Publishing Service: Canberra, ACT, Australia, 2008.

  19. Daniels LA, Magarey A, Battistutta D, Nicholson JM, Farrell A, Davidson G et al. The NOURISH randomised control trial: positive feeding practices and food preferences in early childhood—a primary prevention program for childhood obesity. BMC Public Health 2009; 14: 387.

    Article  Google Scholar 

  20. Jonnalagadda SS, Mitchell DC, Smiciklas-Wright H, Meaker KB, Van Heel N, Karmally W et al. Accuracy of energy intake data estimated by a multiple-pass, 24-hour dietary recall technique. J Am Diet Assoc 2000; 100: 303–311.

    Article  CAS  Google Scholar 

  21. Noble S, Emmett P . Food and nutrient intake in a cohort of 8-month-old infants in the south-west of England in 1993. Eur J Clin Nutr 2001; 55: 698–707.

    Article  CAS  Google Scholar 

  22. Xyris Software. FoodWorks 7 (cited 27 November 2012); available from http://www.xyris.com.au/ 2012.

  23. Food Standards Australia New Zealand (FSANZ). AUSNUT 2007—Australian Food Supplement and Nutrient Database for Estimation of Population Nutrient Intakes. Australian Government Publishing Service: Canberra, ACT, Australia, 2008.

  24. World Health Organisation (WHO). WHO Child Growth Standards. Length/Height-for-Age, Weight-for-Age, Weight-for-Length, Weight-for-Height and Body Mass Index-for-Age: Methods and Development. World Health Organisation (WHO): Geneva, 2006.

  25. Australian Bureau of Statistics (ABS). Information Paper: An Introduction to Socio-Economic Indexes for Areas (SEIFA). Report no. 2039.0. Australian Bureau of Statistics: Canberra, ACT, Australia, 2006.

  26. National Health and Medical Research Council (NHMRC). Dietary Guidelines for Children and Adolescents in Australia; Incorporating the Infant Feeding Guidelines for Health Workers. Australian Government Publishing Service: Canberra, ACT, Australia, 2003.

  27. Kellet L, Smith A, Schmerlaib Y . Australian Guide to Healthy Eating (AGHE). Commonwealth Department of Health and Family Services: Canberra, 1998.

    Google Scholar 

  28. National Health and Medical Research Council (NHMRC). A Modelling System to Inform the Revision of the Australian Guide to Healthy Eating. Australian Government Publishing Service: Canberra, ACT, Australia, 2011.

  29. David Garson G . Factor Analysis. Statistical Associates Publishers: North Carolina, 2012.

    Google Scholar 

  30. Pallant J . SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS 4th edn Allen & Unwin: Crows Next, NSW, Australia, 2011.

    Google Scholar 

  31. Northstone K, Emmett P . Multivariate analysis of diet in children at four and seven years of age and associations with socio-demographic characteristics. Eur J Clin Nutr 2005; 59: 751–760.

    Article  CAS  Google Scholar 

  32. Cowbrough K . Feeding the toddler: 12 months to 3 years—challenges and opportunities. J Fam Health Care 2010; 20: 49–52.

    PubMed  Google Scholar 

  33. Smithers LG, Golley RK, Brazionis L, Emmett P, Northstone K, Lynch J . Dietary patterns of infants and toddlers are associated with nutrient intakes. Nutrients 2012; 4: 935–948.

    Article  CAS  Google Scholar 

  34. Koh GA, Scott JA, Oddy WH, Graham KI, Binns CW . Exposure to non-core foods and beverages in the first year of life: results from a cohort study. A J Nutr Diet 2010; 67: 137–142.

    Article  Google Scholar 

  35. Cooke L . The importance of exposure for healthy eating in childhood: a review. J Hum Nutr Diet 2007; 20: 294–301.

    Article  CAS  Google Scholar 

  36. Beauchamp GK, Mennella JA . Early flavor learning and its impact on later feeding behavior. J Pediatr Gastroenterol Nutr 2009; 48: S25–S30.

    Article  Google Scholar 

  37. Howard AJ, Mallan KM, Byrne R, Magarey A, Daniels LA . Toddlers’ food preferences. The impact of novel food exposure, maternal preferences and food neophobia. Appetite 2012; 59: 818–825.

    Article  Google Scholar 

  38. Schwartz C, Chabanet C, Laval C, Issanchou S, Nicklaus S . Breast-feeding duration: influence on taste acceptance over the first year of life. Br J Nutr 2012; 4: 1–8.

    Google Scholar 

  39. Mennella JA . Flavour programming during breast-feeding. Adv Exp Med Biol 2009; 639: 113–120.

    Article  CAS  Google Scholar 

  40. Friedman LS, Lukyanova EM, Serdiuk A, Shkiryak-Nizhnyk ZA, Chislovska NV, Zvinchuk AV et al. Social-environmental factors associated with elevated body mass index in a Ukrainian cohort of children. Int J Pediatr Obes 2009; 4: 81–90.

    Article  Google Scholar 

  41. Shin KO, Oh SY, Park HS . Empirically derived major dietary patterns and their associations with overweight in Korean preschool children. Br J Nutr 2007; 98: 416–421.

    Article  CAS  Google Scholar 

  42. Karnik S, Kanekar A . Childhood obesity: a global public health crisis. Int J Prev Med 2012; 3: 1–7.

    PubMed  PubMed Central  Google Scholar 

  43. Birch LL, Fisher JO . Development of eating behaviours among children and adolescents. Pediatrics 1998; 101: 539–549.

    CAS  PubMed  Google Scholar 

  44. Ong KKL, Ahmed ML, Emmett PM, Preece MA, Dunger DB . Association between postnatal catch-up growth and obesity in childhood: prospective cohort study. BMJ 2000; 320: 967–971.

    Article  CAS  Google Scholar 

  45. Gardner DSL, Hosking J, Metcalf BS, Jeffrey AN, Voss LD, Wilkin TJ . Contribution of early weight gain to childhood overweight and metabolic health: a longitudinal study (EarlyBird 36). Pediatrics 2009; 123: e67–e73.

    Article  Google Scholar 

  46. Barker DJ, Osmond C, Forsén TJ, Kajantie E, Eriksson JG . Trajectories of growth among children who have coronary events as adults. Engl J Med 2005; 353: 1802–1809.

    Article  CAS  Google Scholar 

  47. Macdiarmid J, Blundell J . Assessing dietary intake: who, what and why of under-reporting. Nutr Res Rev 1998; 11: 231–253.

    Article  CAS  Google Scholar 

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Acknowledgements

We thank all families who willingly gave up their time to participate in the NOURISH and SAIDI studies. We thank the study teams for their assistance in recruitment, data collection and entry, in particular the Flinders University research staff Dr Rebecca Perry, Chelsea Mauch, Kylie Markow and Rachel Elovaris, and the Queensland University of Technology research staff Jo Meedeniya and Rebecca Byrne. We also thank Meat and Livestock Australia who provided financial support for both studies. Fundings were obtained from the National Health and Medical Research Council of Australia (426704, NOURISH) and SA Health (SAIDI). RKG is supported by a National Heart Foundation Fellowship and LKB by an Australian Postgraduate Award (APA).

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Authors and Affiliations

  1. Nutrition and Dietetics, Flinders Clinical and Molecular Medicine, School of Medicine, Flinders Medical Centre, Flinders University, Adelaide, SA, Australia

    L K Bell & A M Magarey

  2. Public Health Group, Sansom Institute of Health Research, School of Health Sciences, University of South Australia, Adelaide, SA, Australia

    R K Golley

  3. School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Queensland, Australia

    L Daniels

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  1. L K Bell
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Correspondence to L K Bell.

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Bell, L., Golley, R., Daniels, L. et al. Dietary patterns of Australian children aged 14 and 24 months, and associations with socio-demographic factors and adiposity. Eur J Clin Nutr 67, 638–645 (2013). https://doi.org/10.1038/ejcn.2013.23

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