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Longitudinal changes in dietary patterns during adult life

Published online by Cambridge University Press:  08 March 2007

G. D. Mishra*
Affiliation:
MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge CB1 9NL, UK
S. A. McNaughton
Affiliation:
MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge CB1 9NL, UK
G. D. Bramwell
Affiliation:
MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge CB1 9NL, UK
M. E. J. Wadsworth
Affiliation:
MRC National Survey of Health and Development, University College and Royal Free Medical School, 1–19 Torrington Place, London WC1E 6BT, UK
*
*Corresponding author: Dr G. D. Mishra, fax +44 (0)20 7813 0242, email g.mishra@nshd.mrc.ac.uk
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Abstract

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Despite the growing interest in dietary patterns, there have been few longitudinal investigations. The objective of the present study was to extend an earlier method of dietary pattern assessment to longitudinal binary data and to assess changes in patterns over time and in relation to socio-demographic covariates. A prospective national cohort of 1265 participants completed a 5 d food diary at three time-points during their adult life (at age 36 years in 1982, 43 years in 1989 and 53 years in 1999). Factor analysis identified three dietary patterns for women (fruit, vegetables and dairy; ethnic foods and alcohol; meat, potatoes and sweet foods) and two patterns in men (ethnic foods and alcohol; mixed). Trends in dietary pattern scores were calculated using random effects models. Marked changes were found in scores for all patterns between 1989 and 1999, with only the meat, potatoes and sweet foods pattern in women recording a decline. In a multiple variable model that included the three time-points, socio-demographic variables and BMI time-dependent covariates, both non-manual social class and higher education level were also strongly associated with the consumption of more items from the ethnic foods and alcohol pattern and the mixed pattern for men (P<0·0001) and the fruit, vegetables and dairy pattern and the ethnic foods and alcohol pattern for women (P<0·01). In conclusion, longitudinal changes in dietary patterns and across socio-economic groups can assist with targeting public health initiatives by identifying stages during adult life when interventions to improve diet would be most beneficial to health.

Type
Research Article
Copyright
Copyright © The Nutrition Society 2006

References

Ashfield-Watt, PA, Welch, AA, Day, NE & Bingham, SA (2004) Is ’five-a-day’ an effective way of increasing fruit and vegetable intakes?. Public Health Nutr 7, 257261.CrossRefGoogle ScholarPubMed
Balder, HF, Vitanen, M & Brants, HAM (2003) Common and country specific dietary patterns in four European cohort studies. J Nutr 133, 42464251.CrossRefGoogle ScholarPubMed
Braddon, FE, Wadsworth, MEJ, Davies, JMC & Cripps, HA (1988) Social and regional differences in food and alcohol consumption and their measurement in a national birth cohort. J Epidemiol Community Health 42, 341349.CrossRefGoogle Scholar
Buzzard, M (1998) 24-hour dietary recall and food record methods. In Nutritional Epidemiology, pp. 101147 [Willett, W, editors]. New York: Oxford University Press.Google Scholar
Correa Leite, ML, Nicolosi, A, Cristina, S, Hauser, WA, Pugliese, P & Nappi, G (2003) Dietary and nutritional patterns in an elderly rural population in Northern and Southern Italy. I. A cluster analysis of food consumption. Eur J Clin Nutr 57, 15141521.CrossRefGoogle Scholar
Food and & Agriculture Organisation (1994) Definition and classification of commodities. Rome: Food and Agriculture OrganisationGoogle Scholar
Food Standards AgencyFood Standards Agency (2002) National Diet and Nutrition Survey: Adults Aged 19 to 64 Technical Report. Appendix G: Food Types, Main and Subsidiary Food Groups London The Stationery Office.Google Scholar
Greenwood, DC, Gilthorpe, MS, Golding, C & Cade, JE (2003) Stability over time of dietary patterns in the UK Women's Cohort Study. Proc Nutr Soc 62, 89A.Google Scholar
Gregory, J, Foster, K, Tyler, H & Wiseman, M (1990) The Diet and Nutritional Survey of British Adults London Social Survey Division, Office of Population Censuses and Surveys.Google Scholar
Henderson, L, Gregory, J, Irving, K & Swan, G (2003 a) The National Diet and Nutrition Survey: Adults Aged 1964 Years. Volume 2: Energy, Protein, Carbohydrate, Fat and Alcohol Intake London The Stationery Office.Google Scholar
Henderson, L, Gregory, J, Irving, K & Swan, G (2003 a) The National Diet and Nutrition Survey: Adults Aged 19–64 Years. Volume 2: Energy, Protein, Carbohydrate, Fat and Alcohol Intake. London: The Stationery Office.Google Scholar
Kerver, JM, Yang, EJ, Bianchi, L & Song, WO (2003) Dietary patterns associated with risk factors for cardiovascular disease in healthy US adults. Am J Clin Nutr 78, 11031110.CrossRefGoogle ScholarPubMed
Landis, JR & Koch, GG (1979) The analysis of categorical data in longitudinal studies of behavioral development. In Longitudinal Methodology in the Study of Behavior and Development, pp. 233261 [Nesselroade, JR, Baltes, PB, editors]. New York: Academic Press.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 principle components analysis and the subsequent impact on estimates for endometrial cancer. Public Health Nutr 4, 989997.CrossRefGoogle Scholar
Martikainen, P, Brunner, E & Marmot, M (2003) Socioeconomic differences in dietary patterns among middle-aged men and women. Soc Sci Med 56, 13971410.CrossRefGoogle ScholarPubMed
Maskarinec, G, Novotny, R & Tasaki, K (2000) Dietary patterns are associated with body mass index in multiethnic women. J Nutr 130, 30683072.CrossRefGoogle ScholarPubMed
Mishra, GD, 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, 687693.CrossRefGoogle ScholarPubMed
Mishra, GD, Prynne, CJ, Paul, AA, Greenberg, DC, Bolton-Smith, C (2004) The impact of inter-generational social and regional circumstances on dietary intake patterns of British adults: results from the 1946 British birth cohort. Public Health Nutr 7, 737744.CrossRefGoogle ScholarPubMed
Mulder, M, Ranchor, AV, Sanderman, R, Bouma, J, Van Den, Heuvel WJA (1998) The stability of lifestyle behaviour. Int J Epidemiol 27, 199207.CrossRefGoogle ScholarPubMed
Muthen, B, Kaplan, D (19982004) Mplus: The Comprehensive Modeling Program for Applied Researchers. User Guide. Los: Angeles Muthen & Muthen.Google Scholar
Newby, PK, Muller, D, Hallfrisch, J, Andres, R & Tucker, KL (2004 a) Food patterns measured by factor analysis and anthropometric changes in adults. Am J Clin Nutr 80, 504513.CrossRefGoogle ScholarPubMed
Newby, PK, Muller, D, Hallfrisch, J, Qiao, N, Andres, R & Tucker, KL (2003) Dietary patterns and changes in body mass index and waist circumference in adults. Am J Clin Nutr 77, 14171425.CrossRefGoogle ScholarPubMed
Newby, PK, Muller, D & Tucker, KL (2004 b) Associations of empirically derived eating patterns with plasma lipid biomarkers: a comparison of factor and cluster analysis methods. Am J Clin Nutr 80, 759767.CrossRefGoogle ScholarPubMed
Newby, PK & Tucker, KL (2004) Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 62, 177203.CrossRefGoogle ScholarPubMed
Parsons, TJ, Manor, O & Power, C (2004) Changes in diet and physical activity in the 1990s in a large British sample (1958 birth cohort). Eur J Clin Nutr 59, 4956.CrossRefGoogle Scholar
Price, GM, Paul, AA, Key, FB, Harter, A, Cole, T, Day, K & Wadsworth, M (1995) Measurement of diet in a large national survey: comparison of computerised and manual coding in household measures. J Hum Nutr Dietet 8, 417428.CrossRefGoogle Scholar
Pryer, JA, Nichols, R, Elliott, P, Thakrar, B, Brunner, E & Marmot, M (2001) Dietary patterns among a national random sample of British adults. J Epidemiol Community Health 55, 2937.CrossRefGoogle ScholarPubMed
Prynne, CJ, Paul, AA, Mishra, GD, Greenberg, DC & Wadsworth, MEJ (2005) Changes in intake of key nutrients over 17 years during adult life of a British birth cohort. Br J Nutr 94, 368376.CrossRefGoogle ScholarPubMed
Registrar General (1980) Classification of Occupations,London:HMSO.Google Scholar
Richards, M, Hardy, R & Wadsworth, MEJ (2002) Long-term effects of breastfeeding in a national birth cohort: educational attainment and midlife cognitive function. Public Health Nutr 5, 631635.CrossRefGoogle Scholar
Schulze, MB, Hoffman, K, Kroke, A & Boeing, H (2001) Dietary patterns and their association with food and nutrient intake in the European Prospective Investigation into Cancer and Nutrition (EPIC) – Potsdam study. Br J Nutr 85, 363373.CrossRefGoogle ScholarPubMed
Schulze, MB, Hoffman, MB, Kroke, A & Boeing, H (2003) An approach to construct simplified measures of dietary patterns from exploratory factor analysis. Br J Nutr 89, 409419.CrossRefGoogle ScholarPubMed
Smith, AS, Campbell, DR, Elmer, PJ, Martini, MC, Slavin, JL & Potter, JD (1995) The University of Minnesota Cancer Prevention Research Unit vegetable and fruit classification scheme (United States). Cancer Causes Control 6, 292302.CrossRefGoogle ScholarPubMed
Togo, P, Heitmann, BL, Sorensen, TI & Osler, M (2003) Consistency of food intake factors by different dietary assessment methods and population groups. Br J Nutr 90, 667678.CrossRefGoogle ScholarPubMed
Van Dam, RM, Grievink, L, Ocke, MC & Feskens, EJ (2003) Patterns of food consumption and risk factors for cardiovascular disease in the general Dutch population. Am J Clin Nutr 77, 11561163.CrossRefGoogle ScholarPubMed
Van Dam, RM, Rimm, EB, Willett, WC, Stampfer, MJ & Hu, FB (2002) Dietary patterns and risk for type 2 diabetes mellitus in U.S. men. Ann Intern Med 136, 201209.CrossRefGoogle ScholarPubMed
Wadsworth, ME, Butterworth, SL, Hardy, RJ, Kuh, DJ, Richards, M, Langenberg, C, Hilder, WS & Connor, M (2003) The life course prospective design: an example of benefits and problems associated with study longevity. Soc Sci Med 57, 21932205.CrossRefGoogle ScholarPubMed
Wadsworth, MEJ (1991) The Imprint of Time. Oxford: Clarendon Press.Google Scholar
Wadsworth, MEJ, Hardy, RJ, Paul, AA, Marshall, SF & Cole, TJ (2002) Leg and trunk length at 43 years in relation to childhood health, diet and family circumstances; evidence from the 1946 national birth cohort. Int J Epidemiol 31, 383390.CrossRefGoogle ScholarPubMed
Wardle, J, Haase, AM, Steptoe, A, Nillapun, M, Jonwutiwes, K & Bellisle, F (2004) Gender differences in food choice: the contribution of health beliefs and dieting. Ann Behav Med 27, 107116.CrossRefGoogle ScholarPubMed