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Nutrition during the early life cycle

Describing the longitudinal breakfast quality index trajectories in early childhood: results from Melbourne InFANT program

Abstract

Background

Breakfast quality in early childhood remains understudied. This study describes the changes in breakfast quality index (BQI) (i.e. trajectory) in early childhood and assesses its associations with obesity outcomes.

Methods

Data from children who participated in the Melbourne InFANT Program were used (n = 328). The Melbourne InFANT Program was a 15-month early obesity prevention intervention conducted from 2008 to 2013. Dietary intakes at ages 1.5, 3.5 and 5.0 years were assessed using three parent-proxy reported 24 h recalls. A revised nine-item BQI tool developed based on Australian dietary recommendations for young children was used to calculate BQI scores. Group-based trajectory modelling identified BQI trajectory groups. Multivariable linear and logistic regression examined the associations between identified BQI trajectory groups and obesity outcomes at age 5 years.

Results

Mean BQI at ages 1.5, 3.5 and 5.0 years was 4.8, 4.8, 2.7 points, respectively. Two BQI trajectory groups were identified, and both showed a decline in BQI. The mean BQI of most children (74%) decreased from 5.0 to 4.0 points from ages 1.5 to 5.0 years (referred as “High BQI” group). The remaining children (26%) had a mean BQI of 4.8 and 1.2 points at age 1.5 and 5.0 years, respectively (referred as “Low BQI” group). The “Low BQI” group appeared to show higher risk of overweight (OR:1.30, 95% CI: 0.60, 2.81, P = 0.66) at age 5 years than the “High BQI” group. No difference in body mass index (BMI) z-score was found between the two groups.

Conclusions

Two BQI trajectory groups were identified. Both groups showed a decline in breakfast quality from ages 1.5 to 5.0 years. Our study highlights the need for early health promotion interventions and strategies to improve and maintain breakfast quality across early childhood.

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Fig. 1: Comparison of average observed and predicted BQI from ages 1.5, 3.5, 5.0 years of the low BQI and high BQI trajectory groups.

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References

  1. World Health Organization (WHO). Report of the Commission on Ending Childhood Obesity. In: Geneva, Switzerland. 2017.

  2. World Health Organization (WHO). Obesity and overweight. In: Geneva, Switzerland. 2021..

  3. Australian Institute of Health and Welfare (AIHW). Overweight and obesity among Australian children and adolescents. In: Canberra, Australia. 2020.

  4. Weihrauch-Blüher S, Wiegand S. Risk Factors and Implications of Childhood Obesity. Curr Obes Rep. 2018;7:254–9. https://doi.org/10.1007/s13679-018-0320-0

    Article  PubMed  Google Scholar 

  5. Australian Institute of Health and Welfare (AIHW). Overweight and obesity. In: Canberra, Australia. 2022.

  6. Koletzko B, Brands B, Poston L, Godfrey K, Demmelmair H. Early nutrition programming of long-term health. Proc Nutr Soc. 2012;71:371–8. https://doi.org/10.1017/s0029665112000596. e-pub ahead of print 2012/06/19

    Article  PubMed  Google Scholar 

  7. Mikkilä V, Räsänen L, Raitakari O, Pietinen P, Viikari J. Consistent dietary patterns identified from childhood to adulthood: the cardiovascular risk in Young Finns Study. Br J Nutr. 2005;93:923–31.

    Article  PubMed  Google Scholar 

  8. Spence C. Breakfast: the most important meal of the day? Int J gastronomy food Sci. 2017;8:1–6.

    Article  Google Scholar 

  9. Alexy U, Wicher M, Kersting M. Breakfast trends in children and adolescents: frequency and quality. Public Health Nutr. 2010;13:1795–802.

    Article  PubMed  Google Scholar 

  10. Rampersaud GC. Benefits of Breakfast for Children and Adolescents: Update and Recommendations for Practitioners. Am J Lifestyle Med. 2009;3:86.

    Article  Google Scholar 

  11. Gibney MJ, Barr SI, Bellisle F, Drewnowski A, Fagt S, Livingstone B, et al. Breakfast in Human Nutrition: The International Breakfast Research Initiative. Nutrients. 2018;10:559 https://doi.org/10.3390/nu10050559

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Pereira MA, Erickson E, McKee P, Schrankler K, Raatz SK, Lytle LA, et al. Breakfast frequency and quality may affect glycemia and appetite in adults and children. J Nutr. 2011;141:163–8.

    Article  PubMed  Google Scholar 

  13. Cho S, Dietrich M, Brown CJ, Clark CA, Block G. The effect of breakfast type on total daily energy intake and body mass index: results from the Third National Health and Nutrition Examination Survey (NHANES III. J Am Coll Nutr. 2003;22:296–302. https://doi.org/10.1080/07315724.2003.10719307. E-pub ahead of print 2003/08/05.

  14. Wyatt HR, Grunwald GK, Mosca CL, Klem ML, Wing RR, Hill JO. Long‐term weight loss and breakfast in subjects in the National Weight Control Registry. Obes Res. 2002;10:78–82.

    Article  PubMed  Google Scholar 

  15. Song WO, Chun OK, Obayashi S, Cho S, Chung CE. Is consumption of breakfast associated with body mass index in US adults? J Am Dietetic Assoc. 2005;105:1373–82.

    Article  Google Scholar 

  16. Summerbell C, Moody R, Shanks J, Stock M, Geissler C. Relationship between feeding pattern and body mass index in 220 free-living people in four age groups. Eur J Clin Nutr. 1996;50:513–9.

    CAS  PubMed  Google Scholar 

  17. Shang X, Li Y, Xu H, Zhang Q, Hu X, Liu A, et al. Healthy breakfast habits and changes in obesity-related cardiometabolic markers in children: a longitudinal analysis. Eur J Clin Nutr. 2020;74:1685–97.

    Article  PubMed  Google Scholar 

  18. Timlin MT, Pereira MA, Story M, Neumark-Sztainer D. Breakfast eating and weight change in a 5-year prospective analysis of adolescents: Project EAT (Eating Among Teens). Pediatrics. 2008;121:e638–e645.

    Article  PubMed  Google Scholar 

  19. Alsharairi NA, Somerset SM. Skipping breakfast in early childhood and its associations with maternal and child BMI: a study of 2-5-year-old Australian children. Eur J Clin Nutr. 2016:450. https://doi.org/10.1038/ejcn.2015.184

  20. Campbell K, Hesketh K, Crawford D, Salmon J, Ball K, McCallum Z. The Infant Feeding Activity and Nutrition Trial (INFANT) an early intervention to prevent childhood obesity: cluster-randomised controlled trial. BMC Public Health. 2008;8:1–9.

    Article  Google Scholar 

  21. Campbell KJ, Lioret S, McNaughton SA, Crawford DA, Salmon J, Ball K, et al. A parent-focused intervention to reduce infant obesity risk behaviors: a randomized trial. Pediatrics. 2013;131:652–60.

    Article  PubMed  Google Scholar 

  22. Campbell K, Hesketh K, Crawford D, Salmon J, Ball K, McCallum Z. The Infant Feeding Activity and Nutrition Trial (INFANT) an early intervention to prevent childhood obesity: cluster-randomised controlled trial. BMC Public Health. 2008;8:103.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Hesketh KD, Campbell K, Salmon J, McNaughton SA, McCallum Z, Cameron A, et al. The Melbourne infant feeding, activity and nutrition trial (InFANT) program follow-up. Contemp Clin Trials. 2013;34:145–51.

    Article  PubMed  Google Scholar 

  24. Zheng M, Campbell KJ, Scanlan E, McNaughton SA. Development and evaluation of a food frequency questionnaire for use among young children. PloS ONE. 2020;15:e0230669.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Conway JM, Ingwersen LA, Vinyard BT, Moshfegh AJ. Effectiveness of the US Department of Agriculture 5-step multiple-pass method in assessing food intake in obese and nonobese women. Am J Clin Nutr. 2003;77:1171–8.

    Article  CAS  PubMed  Google Scholar 

  26. Food Standards Australia New Zealand (FSANZ). AUSNUT 2007. In: Canberra, Australia. 2007.

  27. Thompson FE, Subar AF. Dietary assessment methodology. Nutrition in the Prevention and Treatment of Disease. 2017;5–48..

  28. Leech RM, Worsley A, Timperio A, McNaughton SA. Characterizing eating patterns: a comparison of eating occasion definitions. Am J Clin Nutr. 2015;102:1229–37. https://doi.org/10.3945/ajcn.115.114660

    Article  CAS  PubMed  Google Scholar 

  29. Monteagudo C, Palacin-Arce A, del Mar Bibiloni M, Pons A, Tur JA, Olea-Serrano F, et al. Proposal for a Breakfast Quality Index (BQI) for children and adolescents. Public Health Nutr. 2013;16:639–44.

    Article  PubMed  Google Scholar 

  30. National Health and Medical Research Council (NHMRC). Nutrient Reference Values. In: Canberra, Australia. 2020.

  31. Harttig U, Haubrock J, Knüppel S, Boeing H. The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method. Eur J Clin Nutr. 2011;65:S87–S91.

    Article  PubMed  Google Scholar 

  32. WHO Multicentre Growth Reference Study Group. WHO Child Growth Standards based on length/height, weight and age. Acta Paediatrica. 2006;95:76–85.

    Article  Google Scholar 

  33. Kêkê L, Samouda H, Jacobs J, Di Pompeo C, Lemdani M, Hubert H, et al. Body mass index and childhood obesity classification systems: A comparison of the French, International Obesity Task Force (IOTF) and World Health Organization (WHO) references. Rev d’epidemiologie et de sante publique. 2015;63:173–82.

    Article  Google Scholar 

  34. Silva LM, van Rossem L, Jansen PW, Hokken-Koelega ACS, Moll HA, Hofman A, et al. Children of Low Socioeconomic Status Show Accelerated Linear Growth in Early Childhood; Results from the Generation R Study. PLOS ONE. 2012;7:e37356 https://doi.org/10.1371/journal.pone.0037356

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Fernando NN, Campbell KJ, McNaughton SA, Zheng M, Lacy KE. Predictors of dietary energy density among preschool aged children. Nutrients. 2018;10:178.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Zheng M, Cameron AJ, Birken CS, Keown‐Stoneman C, Laws R, Wen LM, et al. Early infant feeding and BMI trajectories in the first 5 years of life. Obesity. 2020;28:339–46.

    Article  PubMed  Google Scholar 

  37. National Health and Medical Research Council (NHMRC). Infant Feeding Guidelines: Summary. In: Canberra, Australia. 2013.

  38. Zheng M, Lioret S, Hesketh KD, Spence A, Taylor R, Campbell KJ. Association Between Longitudinal Trajectories of Lifestyle Pattern and BMI in Early Childhood. Obesity. 2021;29:879–87.

    Article  PubMed  Google Scholar 

  39. Zheng M, Campbell KJ, Baur L, Rissel C, Wen LM. Infant feeding and growth trajectories in early childhood: the application and comparison of two longitudinal modelling approaches. Int J Obes (Lond). 2021;45:2230–7. https://doi.org/10.1038/s41366-021-00892-5. e-pub ahead of print 2021/07/08

    Article  PubMed  Google Scholar 

  40. Zheng M, Hesketh KD, Wu JHY, Heitmann BL, Downing K, Campbell KJ. Nighttime sleep duration trajectories were associated with body mass index trajectories in early childhood. Pediatr Obes. 2021;16:e12766 https://doi.org/10.1111/ijpo.12766

    Article  PubMed  Google Scholar 

  41. Morales IF, Vilas MA, Vega CM, Para MCM. Breakfast quality and its relationship to the prevalence of overweight and obesity in adolescents in Guadalajara (Spain). Nutrición Hospitalaria. 2011;26:952–8.

    Google Scholar 

  42. Defeyter MA, Graham PL, Walton J, Apicella T. Breakfast clubs: availability for British schoolchildren and the nutritional, social and academic benefits. Nutr Bull. 2010;35:245–53. https://doi.org/10.1111/j.1467-3010.2010.01843.x

    Article  Google Scholar 

  43. Hassan BK, Cunha DB, da Veiga GV, Pereira RA, Sichieri R. Changes in breakfast frequency and composition during adolescence: The Adolescent Nutritional Assessment Longitudinal Study, a cohort from Brazil. PloS ONE. 2018;13:e0200587.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Zheng M, Wu JHY, Louie JCY, Flood VM, Gill T, Thomas B, et al. Typical food portion sizes consumed by Australian adults: results from the 2011-12 Australian National Nutrition and Physical Activity Survey. Sci Rep. 2016;6:19596–19596. https://doi.org/10.1038/srep19596

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Smith KJ, Breslin MC, McNaughton SA, Gall SL, Blizzard L, Venn AJ. Skipping breakfast among Australian children and adolescents; findings from the 2011–12 National Nutrition and Physical Activity Survey. Aust NZ J Public Health. 2017;41:572–8.

    Article  Google Scholar 

  46. Scaglioni S, De Cosmi V, Ciappolino V, Parazzini F, Brambilla P, Agostoni C. Factors influencing children’s eating behaviours. Nutrients. 2018;10:706.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Cole NC, An R, Lee S-Y, Donovan SM. Correlates of picky eating and food neophobia in young children: a systematic review and meta-analysis. Nutr Rev. 2017;75:516–32.

    Article  PubMed  Google Scholar 

  48. Nicklaus S. The role of food experiences during early childhood in food pleasure learning. Appetite. 2016;104:3–9.

    Article  PubMed  Google Scholar 

  49. Fletcher S, Wright C, Jones A, Parkinson K, Adamson A. Tracking of toddler fruit and vegetable preferences to intake and adiposity later in childhood. Matern Child Nutr. 2017;13:e12290 https://doi.org/10.1111/mcn.12290

    Article  PubMed  Google Scholar 

  50. Moding KJ, Fries LR. Feeding practices demonstrated by parents of toddlers: An observational analysis of breakfast, lunch, dinner, and snacks. Appetite. 2020;155:104825 https://doi.org/10.1016/j.appet.2020.104825

    Article  PubMed  Google Scholar 

  51. Reyes LI, Frongillo EA, Moore S, Blake CE, Gonzalez W, Bonvecchio A. Functions of social networks in maternal food choice for children in Mexico. Matern Child Nutr. 2022;18:e13263 https://doi.org/10.1111/mcn.13263

    Article  PubMed  Google Scholar 

  52. Hulshof K, Brussaard J, Kruizinga A, Telman J, Löwik M. Socio-economic status, dietary intake and 10 y trends: the Dutch National Food Consumption Survey. Eur J Clin Nutr. 2003;57:128–37.

    Article  CAS  PubMed  Google Scholar 

  53. Alsharairi NA, Somerset S. Parental work status and children’s dietary consumption: Australian evidence. Int J Consum Stud. 2018;42:522–32.

    Article  Google Scholar 

  54. Aranceta J, Serra-Majem L, Ribas L, Pérez-Rodrigo C. Breakfast consumption in Spanish children and young people. Public Health Nutr. 2001;4:1439–44.

    Article  CAS  PubMed  Google Scholar 

  55. Liu S, Willett WC, Manson JE, Hu FB, Rosner B, Colditz G. Relation between changes in intakes of dietary fiber and grain products and changes in weight and development of obesity among middle-aged women. Am J Clin Nutr. 2003;78:920–7.

    Article  CAS  PubMed  Google Scholar 

  56. Zemel MB, Shi H, Greer B, Dirienzo D, Zemel PC. Regulation of adiposity by dietary calcium. FASEB J. 2000;14:1132–8.

    Article  CAS  PubMed  Google Scholar 

  57. Pereira MA, Erickson E, McKee P, Schrankler K, Raatz SK, Lytle LA, et al. Breakfast Frequency and Quality May Affect Glycemia and Appetite in Adults and Children. J Nutr. 2010;141:163–8. https://doi.org/10.3945/jn.109.114405

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Dougkas A, Barr S, Reddy S, Summerbell CD. A critical review of the role of milk and other dairy products in the development of obesity in children and adolescents. Nutr Res Rev. 2019;32:106–27.

    Article  PubMed  Google Scholar 

  59. Spence LA, Cifelli CJ, Miller GD. The role of dairy products in healthy weight and body composition in children and adolescents. Curr Nutr Food Sci. 2011;7:40–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Stokes A, Campbell KJ, Yu H-J, Szymlek-Gay EA, Abbott G, He Q-Q, et al. Protein Intake from Birth to 2 Years and Obesity Outcomes in Later Childhood and Adolescence: A Systematic Review of Prospective Cohort Studies. Adv Nutr. 2021;12:1863–76. https://doi.org/10.1093/advances/nmab034

    Article  PubMed  PubMed Central  Google Scholar 

  61. Rocandio A, Ansotegui L, Arroyo M. Comparison of dietary intake among overweight and non-overweight schoolchildren. Int J Obes. 2001;25:1651–5.

    Article  CAS  Google Scholar 

  62. Rodríguez G, Moreno LA. Is dietary intake able to explain differences in body fatness in children and adolescents? Nutr Metab Cardiovasc Dis. 2006;16:294–301.

    Article  PubMed  Google Scholar 

  63. McMurray RG, Harrell JS, Creighton D, Wang Z, Bangdiwala SI. Influence of physical activity on change in weight status as children become adolescents. Int J Pediatr Obes. 2008;3:69–77.

    Article  PubMed  Google Scholar 

  64. Department of Education and Training. Expanded School Breakfast Clubs program. In: State of Victoria, Australia. 2020.

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Acknowledgements

We acknowledge the contribution of the parents and children who participated in the Melbourne InFANT Study.

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Contributions

Conceptualisation: MZ, PL, KL, KC. Data curation: MZ, KL, SP. Formal analysis: MZ, SP. Project administration: MZ. Resources: MZ. KC. Software: MZ, SP. Supervision: MZ, PL, KL, KC. Writing original draft: SP. Writing review and editing: MZ, PL, KL, KC.

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Correspondence to Seon Yeong Park.

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Park, S.Y., Love, P., Lacy, K.E. et al. Describing the longitudinal breakfast quality index trajectories in early childhood: results from Melbourne InFANT program. Eur J Clin Nutr 77, 363–369 (2023). https://doi.org/10.1038/s41430-022-01249-5

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