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Multivariate analysis of diet in children at four and seven years of age and associations with socio-demographic characteristics

European Journal of Clinical Nutrition volume 59, pages 751–760 (2005)Cite this article

Abstract

Aim:

We have previously reported on distinct dietary patterns obtained from principal components analysis (PCA) of food frequency questionnaires from 3-y-old children. In this study, we repeat these analyses at 4 and 7 y of age.

Design:

As part of regular self-completion questionnaires, the primary source of data collection in the Avon Longitudinal Study of Parents and Children, parents were asked to record the frequency of consumption of 57 different food types for their children. A total of 9550 subjects (68% of original cohort) were available from the 4-y data sweep and 8286 (59%) from the 7-y.

Methods:

Distinct dietary patterns were identified at each age using PCA. These were then related to social and demographic characteristics of the parent and child.

Results:

Three dietary patterns were established cross-sectionally at both 4 and 7 y of age to best describe the types of diet being consumed. One component at both time points described a diet based on ‘junk’-type foods with high-fat and sugar content, processed and convenience foods. A second described the ‘traditional’ British diet based on meat, potatoes and vegetables. The final, a ‘health-conscious’ pattern was associated with vegetarian style foods, rice, pasta, salad and fruit. At both time points, the ‘junk’ pattern was significantly more likely in white children, where maternal education level was low and where the child had more siblings. The ‘traditional’ pattern was more likely in girls, where the mother had a partner and in nonvegetarians (both mother and child). The ‘health-conscious’ pattern was more likely with increasing levels of education and increasing maternal age.

Conclusion:

We have demonstrated consistent dietary patterns in cross-sectional analyses at two ages in these children with similar socio-demographic associations evident at each age. Future analyses will track these dietary patterns over time and form a basis for the study of a variety of childhood outcomes.

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References

  • Aranceta J, Perez-Rodrigo, Ribas L & Serra-Majem LI (2003): Sociodemographic and lifestyle determinants of food patterns in Spanish children and adolescents: the enKid study. Eur. J. Clin. Nutr. 57 (suppl 1), S40–S44.

    Article  Google Scholar 

  • Balder HF, Virtanen M, Brants HAM, Krogh V, Dixon LB, Tan F, Mannisto S, Bellocco R, Pietinen P, Wolk A, Berrino F, van den Brandt PA, Hartman AM & Goldbohm RA (2003): Common and country-specific dietary patterns in four European cohort studies. J. Nutr. 133, 4246–4251.

    Article  CAS  Google Scholar 

  • Barker ME, McClean SI, Thompson KA & Reid NG (1990): Dietary behaviours and sociocultural demographics in Northern Ireland. Br. J. Nutr. 64, 319–329.

    Article  CAS  Google Scholar 

  • Campbell K, Crawford D, Jackson M, Cahsel K, Worsley A, Gibbons K & Birch LL (2002): Family food environments of 5–6-year-old-children: does socioeconomic status make a difference. Asia Pacific J. Clin. Nutr. 11 (Suppl), S553–S561.

    Article  Google Scholar 

  • Cattell RB (1966): The scree test for the number of factors. Multivariate Behav. Res. 1, 245–276.

    Article  CAS  Google Scholar 

  • Fung TT, Rimm EB, Spiegelman D, Rifai N, Tofler GH, Willett WC & Hu FB (2001): Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk. Am. J. Clin. Nutr. 71, 61–67.

    Article  Google Scholar 

  • Gex-Fabry M, Raymond L & Jeanneret O (1988): Multivariate analysis of dietary patterns in 939 Swiss adults: Sociodemographic parameters and alcohol consumption profiles. Int. J. Epidemiol. 17, 548–555.

    Article  CAS  Google Scholar 

  • Golding J, Pembrey M, Jones R & ALSPAC Study Team (2001): ALSPAC—The Avon Longitudinal Study of Parents and Children. I. Study methodology. Paediatric Perinatal Epidemiol. 15, 74–87.

    Article  CAS  Google Scholar 

  • Gorsuch RL (1974): Factor Analyses. Philadelphia, PA: WB Saunders.

    Google Scholar 

  • Gregory J, Foster K, Tyler H & Wiseman M. (1990): The Dietary and Nutritional Survey of British Adults Office of Population Censuses and Surveys. London: HMSO.

    Google Scholar 

  • Hu FB (2002): Dietary pattern analysis: a new direction in nutritional epidemiology. Curr. Opin. Lipidol. 13, 3–9.

    Article  CAS  Google Scholar 

  • Hursti UKK (1999): Factors influencing children's food choice. Ann. Med. 31 (Suppl 1), 26–32.

    Article  Google Scholar 

  • Jacques PF & Tucker KL (2001): Editorial: Are dietary patterns useful for understanding the role of diet in chronic disease? Am. J. Clin. Nutr. 73, 1–2.

    Article  CAS  Google Scholar 

  • Kline P (1994): An Easy Guide to Factor Analysis. London: Routledge.

    Google Scholar 

  • Marmot MG, Davey Smith G, Stansfeld S, Patel C, North F, Head J, White I, Brunner E & Feeney A (1991): Health inequalities among British civil servants: the Whitehall II study. Lancet 337, 1387–1393.

    Article  CAS  Google Scholar 

  • Martinez ME, Marshall JR & Sechrest L (1998): Invited commentary: factor analysis and the search for objectivity. Am. J. Epidemiol. 148, 17–19.

    Article  CAS  Google Scholar 

  • McCann SE, Marshall JR, Brasure JR, Graham S & Freudenheim JL (2001): Analysis of patterns of food intake in nutritional epidemiology: food classification in principal components analysis and the subsequent impact on estimates for endometrial cancer. Pub. Health Nutr. 4, 989–997.

    CAS  Google Scholar 

  • Mishra G, Ball K, Arbuckle J & Crawford D (2002): Dietary patterns of Australian adults and their association with socioeconomic status: results from the 1995 National Nutrition Survey. Eur. J. Clin. Nutr. 56, 687–693.

    Article  CAS  Google Scholar 

  • Mullen K, Williams R & Hunt K (2000): Irish descent, religion and food consumption in the west of Scotland. Appetite 34, 47–54.

    Article  CAS  Google Scholar 

  • North K, Emmett P & the ALSPAC Study Team (2000): Multivariate analysis of diet among three-year-old children and associations with socio-demographic characteristics. Eur. J. Clin. Nutr. 54, 73–80.

    Article  CAS  Google Scholar 

  • Osler M, Helms Andreasen A, Heitmann B, Hoidrup S, Gerdes U, Morch Jorgensen L & Schroll M (2002): Food intake patterns and risk of coronary heart disease: a prospective cohort study examining the use of traditional scoring techniques Eur. J. Clin. Nutr. 56, 568–574.

    Article  CAS  Google Scholar 

  • Rogers IS, Emmett PM & the ALSPAC Study Team (1998): Diet during pregnancy in a population of pregnant women in South West England. Eur. J. Clin. Nutr. 52, 246–250.

    Article  CAS  Google Scholar 

  • Sanchez-Villegas, Delgado-Rodriguez M, Martinez-Gonzales MA & de Irala-Estevez J (2003): Gender, age, socio-demographic and lifestyle factors associated with major dietary patterns in the Spanish SUN (seguimiento Universidad de Navarra). Eur. J. Clin. Nutr. 57, 285–292.

    Article  CAS  Google Scholar 

  • Slattery ML, Boucher KM, Caan BJ, Potter JD & Ma KN (1998): Eating patterns and risk of colon cancer. Am. J. Epidemiol. 148, 4–16.

    Article  CAS  Google Scholar 

  • Togo P, Osler M, Sorensen TIA & Heitmann BL (2001): Food intake patterns and body mass index in observational studies. Int. J. Obes. Metab. Relat. Disord. 25, 1741–1751.

    Article  CAS  Google Scholar 

  • Togo P, Heitmann BL, Sorensen TIA & Osler M (2003): Consistency of food intake factors by different dietary assessment methods and population groups. Br. J. Nutr. 90, 667–678.

    Article  CAS  Google Scholar 

  • Trichopoulos D & Lagiou P (2001): Invited commentary: dietary patterns and mortality. Br. J. Nutr. 85, 133–134.

    Article  CAS  Google Scholar 

  • Whichelow MJ & Prevost AT (1996): Dietary patterns and their associations with demographic, lifestyle and health variables in a random sample of British adults. Br. J. Nutr. 76, 17–30.

    Article  CAS  Google Scholar 

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Acknowledgements

We are extremely grateful to all the mothers and other carers who have taken part in this study for several years and continue to do so. To the midwives for their cooperation and help in recruiting the mothers during pregnancy. The whole ALSPAC study team comprising interviewers, computer technicians, clerical workers, research scientists, volunteers and managers continue to make the study possible. The ALSPAC study could not have been undertaken without the financial support of the Wellcome Trust, the Department of Health and the Department of the Environment, MAFF, British Gas and other companies. The ALSPAC study is part of the WHO initiated European Longitudinal Study of Pregnancy and Childhood.

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  1. Unit of Paediatric & Perinatal Epidemiology, Bristol University, Bristol, UK

    K Northstone & P Emmett

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  1. K Northstone
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  2. P Emmett
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and The ALSPAC Study Team

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Correspondence to K Northstone.

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Guarantor: K Northstone.

Contributors: PE designed the questionnaires, KN undertook the analyses and wrote the manuscript with the help of PE.

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Northstone, K., Emmett, P. & and The ALSPAC Study Team. Multivariate analysis of diet in children at four and seven years of age and associations with socio-demographic characteristics. Eur J Clin Nutr 59, 751–760 (2005). https://doi.org/10.1038/sj.ejcn.1602136

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