Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-28T03:28:23.397Z Has data issue: false hasContentIssue false
  • English
  • Français

Methods used to conduct the pan-European Union survey on consumer attitudes to physical activity, body weight and health

Published online by Cambridge University Press:  02 January 2007

JM Kearney ,
MJ Kearney ,
S McElhone  and
MJ Gibney
JM Kearney
Affiliation:
Institute of European Food Studies, Trinity College, Dublin 2, Ireland
MJ Kearney
Affiliation:
Institute of European Food Studies, Trinity College, Dublin 2, Ireland
S McElhone
Affiliation:
Institute of European Food Studies, Trinity College, Dublin 2, Ireland
MJ Gibney
Affiliation:
Institute of European Food Studies, Trinity College, Dublin 2, Ireland
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Objective

The purpose of conducting this survey was to identify data on consumer attitudes towards and beliefs about physical activity, body weight and health among the 15 countries of the EU.

Design

A cross-sectional study to get a picture of the attitudes to physical activity, body weight and health in the EU. For this, it was considered important that samples be nationally representative so that inferences drawn from the data could be applied to the population in each country as well as to the EU population as a whole. Using a non-probability sampling method employing quota controls (and the national weight) we obtained large sample sizes from each country which were nationally representative in terms of the variables age, sex and regional distribution. To ensure samples were truly nationally representative a national weight was used when analysing the data using the same characteristics as those used to define quotas. When examining pooled estimates for the total EU sample a population weight was applied.

Results

In total, 15 239 subjects aged 15 years and upwards in the EU completed the survey. This article gives details on the methods used in carrying out the survey from design of the questionnaire to sample selection, questionnaire administration and analysis of the data. The methods and their limitations are discussed.

Keywords

Cross-sectional surveySampling analysisEuropean Union
Type
Research Article
Information
Public Health Nutrition , Volume 2 , Supplement 1a , January 1999 , pp. 79 - 86
Copyright
Copyright © CABI Publishing 1999

References

1Kearney, M, Kearney, JM, Gibney, MJ. Methods used to conduct the survey on consumer attitudes to food, nutrition and health on nationally representative samples of adults from each member state of the European Union. Eur. J. Clin. Nutr. 1997; 51: S3–7.Google ScholarPubMed
2Caspersen, CJ, Powell, KE, Christensen, GM. Physical activity, exercise and physical fitness: definitions and distinctions for health-related research. Public Health Rep. 1985; 100: 126–31.Google ScholarPubMed
3ICC/ESOMAR. International Code of Marketing and Social Research Practice. Paris, Amsterdam: ICC/ESOMAR, 1995.Google Scholar
4Barnett, V. Sample Survey: Principles and Methods. London: Arnold, 1991.Google Scholar
5Kish, L. Survey Sampling. New York: Wiley, 1965.Google Scholar
6Kent, R. Sampling cases. In: Kent, R, ed. Marketing Research in Action. London: Routledge, 1993; 53.Google Scholar
7Statistical Office of the European Communities. Statistics in Focus. Population and Social Conditions. Luxembourg: Eurostat Yearbook, 1996.Google Scholar
8Hill, A, Roberts, J. Body mass index: a comparison between self-reported and measured height and weight. J. Public Health Med. 1998; 20: 206–10.CrossRefGoogle ScholarPubMed
9Istituto Nazionale di Statistica. Multipurposes Survey 1994. Rome: ISTAT Roma, 1996.Google Scholar
10Engstrom, LM, Ekblom, B, Forsberg, A, Koch, M, Seger, J. Livsstil-Prestation-Hälsa, . Motionsvanor, fysisk prestations förmåga och hälsotillstånd bland svenska kvinnor och män I åldrarna 20–65 år. Stockholm: FOLKSAM, 1993.Google Scholar
11Patterson, SM, Krantz, DS, Montgomery, LC, Deuster, PA, Hedges, SM, Nebel, LE. Automated physical activity monitoring: validation and comparison with physiological and self-report measures. Psychophysiology 1993; 30: 296–305.CrossRefGoogle ScholarPubMed
12Klesges, RC, Eck, LH, Mellon, MW, Fulliton, W, Some, GW, Hanson, CL. The accuracy of self-reports of physical activity. Med. Sci. Sports Exerc. 1990; 22: 690–7.CrossRefGoogle ScholarPubMed
13Gionet, NJ, Godin, G. Self reported exercise behavior of employees: a validity study. J. Occup. Med. 1989; 12: 969–73.CrossRefGoogle Scholar