Skip to main content Accessibility help
×
Home

Dietary patterns and risk of asthma: results from three countries in European Community Respiratory Health Survey-II

  • Richard Hooper (a1), Joachim Heinrich (a2), Ernst Omenaas (a3), Stefanie Sausenthaler (a2), Vanessa Garcia-Larsen (a1), Ioannis Bakolis (a1) and Peter Burney (a1)...

Abstract

Dietary patterns offer an alternative to the analysis of individual foods or nutrients in nutritional epidemiological studies. The aim of the present study was to identify dietary patterns common to different European countries and examine their associations with asthma. In five study centres (two in Germany, two in the UK and one in Norway), 1174 adults aged 29–55 years completed a FFQ and respiratory symptoms questionnaire. A meta-analytic approach was used to identify the dietary patterns and analyse them in relation to current asthma, asthma symptoms and bronchial responsiveness (BHR). Two patterns emerged, generally correlating with the same foods at different centres: one associated with intake of meats and potatoes; the other with fish, fruits and vegetables. There was no evidence that the fish, fruits and vegetables pattern was associated with asthma (OR 1·11 (95 % CI 0·93, 1·33)), symptom score (ratio of means 1·07 (0·98, 1·17)) or BHR (regression coefficient − 0·01 ( − 0·12, 0·10)), though these CI appeared to rule out large protective effects of consuming these foods. There was no overall evidence that the meat and potato pattern was associated with asthma (OR 1·02 (0·79, 1·31)), symptom score (ratio of means 1·07 (0·84, 1·36)) or BHR (regression coefficient − 0·08 ( − 0·27, 0·10)), but there was heterogeneity between centres in the association with symptom score: a negative association at the two German centres; a positive association at the others. Heterogeneity in a multi-centre observational study of diet could suggest alternative explanations for apparent effects of diet, such as uncontrolled confounding.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Dietary patterns and risk of asthma: results from three countries in European Community Respiratory Health Survey-II
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Dietary patterns and risk of asthma: results from three countries in European Community Respiratory Health Survey-II
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Dietary patterns and risk of asthma: results from three countries in European Community Respiratory Health Survey-II
      Available formats
      ×

Copyright

Corresponding author

*Corresponding author: Dr Richard Hooper, fax +44 020 7351 8322, email richard.hooper2@imperial.ac.uk

References

Hide All
1 Shaheen, SO, Sterne, JAC, Thompson, RL, et al. (2001) Dietary antioxidants and asthma in adults – population-based case–control study. Am J Respir Crit Care Med 164, 18231828.
2 Hodge, L, Salome, CM, Peat, JK, et al. (1996) Consumption of oily fish and childhood asthma risk. Med J Aust 164, 137140.
3 Devereux, G & Seaton, A (2005) Diet as a risk factor for atopy and asthma. J Allergy Clin Immunol 115, 11091117.
4 Newby, PK & Tucker, KL (2004) Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 62, 177203.
5 Varraso, R, Fung, TT, Hu, FB, et al. (2007) Prospective study of dietary patterns and chronic obstructive pulmonary disease among US men. Thorax 62, 786791.
6 Varraso, R, Fung, TT, Barr, RG, et al. (2007) Prospective study of dietary patterns and chronic obstructive pulmonary disease among US women. Am J Clin Nutr 86, 488495.
7 Butler, LM, Koh, WP, Lee, HP, et al. (2006) Prospective study of dietary patterns and persistent cough with phlegm among Chinese Singaporeans. Am J Respir Crit Care Med 173, 264270.
8 Takaoka, M & Norback, D (2008) Diet among Japanese female university students and asthmatic symptoms, infections, pollen and furry pet allergy. Respir Med 102, 10451054.
9 Varraso, R, Kauffmann, F, Leynaert, B, et al. (2009) Dietary patterns and asthma in the E3N study. Eur Resp J 33, 3341.
10 European Community Respiratory Health Survey II Steering Committee (2002) The European Community Respiratory Health Survey II. Eur Respir J 20, 10711079.
11 Sunyer, J, Pekkanen, J, Garcia-Esteban, R, et al. (2007) Asthma score: predictive ability and risk factors. Allergy 62, 142148.
12 Chinn, S, Arossa, WA, Jarvis, DL, et al. (1997) Variation in nebulizer aerosol output and weight output from the Mefar dosimeter: implications for multicentre studies. Eur Respir J 10, 452456.
13 Bohlscheid-Thomas, S, Hoting, I, Boeing, H, et al. (1997) Reproducibility and relative validity of energy and macronutrient intake of a food frequency questionnaire developed for the German part of the EPIC project (European Prospective Investigation into Cancer and Nutrition). Int J Epidemiol 26, S71S81.
14 Food Standards Agency (1993) Food Portion Sizes, 2nd ed. Norwich: HMSO.
15 Federal Institute for Health Protection of Consumers (BgVV) (1999) Der Bundeslebensmittelschlussel (BLS II.3) (The Bundeslebensmittelschlussel (BLS II.3))/The German Food Code and Nutrient Database. Berlin: BgVV.
16 Food Standards Agency (2002) McCance and Widdowson's the Composition of Foods, 6th ed. Cambridge: Royal Society of Chemistry.
17 Norwegian Food Safety Authority, Directorate for Health and Social Affairs, and University of Oslo (2006) http://matportalen.no/matvaretabellen.
18 Department of Health (1991) Dietary Reference Values for Food Energy and Nutrients for the United Kingdom. London: HMSO.
19 Welch, AA, Luben, R, Khaw, KT, et al. (2005) The CAFE computer program for nutritional analysis of the EPIC-Norfolk food frequency questionnaire and identification of extreme nutrient values. J Hum Nutr Diet 18, 99116.
20 McCann, SE, Marshall, JR, Brasure, JR, et al. (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. Public Health Nutr 4, 989997.
21 Rosenthal, R (1991) Meta-analytic Procedures for Social Research, revised ed., pp. 87. London: Sage.
22 Smith, DA, Mar, CM & Turoff, BK (1998) The structure of schizophrenic symptoms: a meta-analytic confirmatory factor analysis. Schizophr Res 31, 5770.
23 Grube, BS, Bilder, RM & Goldman, RS (1998) Meta-analysis of symptom factors in schizophrenia. Schizophr Res 31, 113120.
24 International Labour Office (1991) International Standard Classification of Occupations (ISCO-88). Geneva: International Labour Organisation.
25 DerSimonian, R & Laird, N (1986) Meta-analysis in clinical trials. Control Clin Trials 7, 177188.
26 Higgins, JPT, Thompson, SG, Deeks, J, et al. (2003) Measuring inconsistency in meta-analyses. BMJ 327, 557560.
27 Barros, R, Moreira, A, Fonseca, J, et al. (2008) Adherence to the Mediterranean diet and fresh fruit intake are associated with improved asthma control. Allergy 63, 917923.
28 Garcia-Marcos, L, Canflanca, IM, Garrido, JB, et al. (2007) Relationship of asthma and rhinoconjunctivitis with obesity, exercise and Mediterranean diet in Spanish schoolchildren. Thorax 62, 503508.
29 Chatzi, L, Apostolaki, G, Bibakis, I, et al. (2007) Protective effect of fruits, vegetables and the Mediterranean diet on asthma and allergies among children in Crete. Thorax 62, 677683.
30 Black, PN & Sharpe, S (1997) Dietary fat and asthma: is there a connection? Eur Respir J 10, 612.
31 Sausenthaler, S, Koletzko, B & Heinrich, J (2006) Dietary fat intake and allergic diseases. Curr Nutr Food Sci 2, 351359.
32 Laerum, BN, Wentzel-Larsen, T, Gulsvik, A, et al. (2007) Relationship of fish and cod oil intake with adult asthma. Clin Exp Allergy 37, 16161623.
33 Thien, FCK, Woods, R & De Luca, S, et al. (2002) Dietary marine fatty acids (fish oil) for asthma in adults and children Cochrane Database of Systematic Reviews, issue 2, CD001283. http://www.mrw.interscience.wiley.com/cochrane/clsysrev/articles/CD001283/frame.html
34 Seaton, A, Godden, DJ & Brown, K (1994) Increase in asthma – a more toxic environment or a more susceptible population? Thorax 49, 171174.
35 Pearson, PJK, Lewis, SA, Britton, J, et al. (2004) Vitamin E supplements in asthma: a parallel group randomised placebo controlled trial. Thorax 59, 652656.
36 Burney, P, Potts, J, Makowska, J, et al. (2008) A case–control study of the relation between plasma selenium and asthma in European populations: a GA2LEN project. Allergy 63, 865871.
37 Cade, JE, Burley, VJ, Warm, DL, et al. (2004) Food-frequency questionnaires: a review of their design, validation and utilisation. Nutr Res Rev 17, 522.
38 Willett, WC (1990) Nutritional Epidemiology. Oxford: Oxford University Press.
39 Day, NE, McKeown, N, Wong, MY, et al. (2001) Epidemiological assessment of diet: a comparison of a 7-day diary with a food frequency questionnaire using urinary markers of nitrogen, potassium and sodium. Int J Epidemiol 30, 309317.
40 Engeset, D, Alsaker, E, Ciampi, A, et al. (2005) Dietary patterns and lifestyle factors in the Norwegian EPIC cohort: the Norwegian Women and Cancer (NOWAC) study. Eur J Clin Nutr 59, 675684.
41 The Norwegian Women and Cancer Study (NOWAC), http://uit.no/kk/Questionnaire/ (accessed August 2009).

Keywords

Related content

Powered by UNSILO

Dietary patterns and risk of asthma: results from three countries in European Community Respiratory Health Survey-II

  • Richard Hooper (a1), Joachim Heinrich (a2), Ernst Omenaas (a3), Stefanie Sausenthaler (a2), Vanessa Garcia-Larsen (a1), Ioannis Bakolis (a1) and Peter Burney (a1)...

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed.