Hostname: page-component-848d4c4894-x24gv Total loading time: 0 Render date: 2024-05-19T20:26:36.970Z Has data issue: false hasContentIssue false

Sampling procedure, participation rates and representativeness in the Swedish part of the European Youth Heart Study (EYHS)

Published online by Cambridge University Press:  02 January 2007

Anita Hurtig Wennlöf*
Affiliation:
Unit for Preventive Nutrition, Biosciences at NOVUM, Karolinska Institute, Huddinge, Sweden: Division of Biomedicine, Department of Caring Sciences, Örebro University SE-701 82 Örebro, Sweden
Agneta Yngve
Affiliation:
Unit for Preventive Nutrition, Biosciences at NOVUM, Karolinska Institute, Huddinge, Sweden:
Michael Sjöström
Affiliation:
Unit for Preventive Nutrition, Biosciences at NOVUM, Karolinska Institute, Huddinge, Sweden:
*
*Corresponding author: Email anita.hurtig-wennlof@ivo.oru.se.
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 European Youth Heart Study (EYHS) is a cross-sectional, school-based population study on risk factors for future cardiovascular disease in children, with an overall participation rate in Sweden of about 50%. To study the representativeness of the participants in the Swedish part of EYHS, a comprehensive non-participant follow-up study was carried out.

Design:

A structured multilevel analysis model was developed, addressing each level in the sampling procedure. The income, educational and occupational categories of the geographical regions of the study (level I), school catchment areas (level II) and parents (level III) were compared with official data. Participating and non-participating pupils (level IV) were compared through a questionnaire.

Setting:

Thirty-seven state schools in two regions of Central Sweden (Örebro and southern Stockholm) were visited during the school year 1998/1999.

Subjects:

Boys and girls aged 9 and 15 years were randomly sampled through a multiphase sampling procedure.

Results:

Data for socio-economic status for levels I and II corresponded well to national and regional official data. At level III, non-manually working parents were slightly over-represented among parents of participating children. At level IV, non-participating subjects corresponded in most respects to participants with a few exceptions – mainly more interest in physical exercise among participants.

Conclusions:

Based on the knowledge from the non-participant study, we do not foresee problems regarding interpretation of the outcomes in the EYHS, despite the low participation rate.

Type
Research Article
Copyright
Copyright © CAB International 2003

References

1Lundström, S, Särndal, C-E. Estimation in the Presence of Non-response Error and Frame Imperfections. Örebro: Statistics Sweden (SCB-Tryck), 2001.Google Scholar
2Berg, C, Jonsson, I, Conner, MT, Lissner, L. Sources of bias in a dietary survey of children. Eur. J. Clin. Nutr. 1998; 52(9): 663–7.CrossRefGoogle Scholar
3Klesges, R, Williamson, J, Somes, G, Talcott, G, Lando, H, Haddock, C. A population comparison of participants and nonparticipants in a health survey. Am. J. Public Health 1999; 89(8): 1228–31.CrossRefGoogle Scholar
4Twisk, JW, Kemper, HC, van Mechelen, W. Tracking of activity and fitness and the relationship with cardiovascular disease risk factors. Med. Sci. Sports Exerc. 2000; 32(8): 1455–61.CrossRefGoogle ScholarPubMed
5Särndal, C-E, Swensson, B, Wretman, J. Model Assisted Survey Sampling. New York: Springer-Verlag, 1992.CrossRefGoogle Scholar
6Statistics Sweden. Sveriges officiella statistik, befolkningsstatistik del I-II. Örebro: SCB, 2000 [in Swedish].Google Scholar
7Statistics Sweden. Socio-ekonomisk indelning (SEI). Reports on Statistical Co-ordination 1982:4. Örebro: SCB, 1995 [in Swedish].Google Scholar
8Statistics Sweden. Bakgrundsutredning om befolkningens utbildning 1999:3. Utbildningsnivå i kommunerna, länen och riket 1999-01-01. Örebro: SCB, 2001 [in Swedish].Google Scholar
9Leander, K, Hallqvist, J, Reuterwall, C, Ahlbom, A, de Faire, U. Family history of coronary heart disease, a strong risk factor for myocardial infarction interacting with other cardiovascular risk factors: results from the Stockholm Heart Epidemiology Program (SHEEP). Epidemiology 2001;12(2): 215–21.CrossRefGoogle Scholar
10Socialstyrelsen. Folkhälsorapport 2001. Stockholm: Socialstyrelsen (National Board of Health and Welfare), 2001 [in Swedish].Google Scholar
11Socialstyrelsen. Causes of Death Register: SoS/EpiC. Stockholm: Socialstyrelsen (National Board of Health and Welfare), 2001 [in Swedish].Google Scholar
12Holm, S. A simple sequentially rejective multiple test procedure. Scand. J. Stat. 1979; 6(2): 6570.Google Scholar
13Pirie, PL, Elias, WS, Wackman, DB, Jacobs, DR, Murray, DM, Mittelmark, MB, et al. . Characteristics of participants and nonparticipants in a community cardiovascular disease risk factor screening: the Minnesota Heart Health Program. Am. J. Prev. Med. 1986; 2(1): 20–5.CrossRefGoogle Scholar
14Lahelma, E, Valkonen, T. Health and social inequities in Finland and elsewhere. Soc. Sci. Med. 1990;31(3): 257–65.CrossRefGoogle ScholarPubMed
15Bartley, M, Power, C, Blane, D, Smith, GD, Shipley, M. Birth weight and later socioeconomic disadvantage: evidence from the 1958 British cohort study. Br. Med. J. 1994; 309(6967): 1475–8.CrossRefGoogle ScholarPubMed
16Bostrom, G, Hallqvist, J, Haglund, BJ, Romelsjo, A, Svanstrom, L, Diderichsen, F. Socioeconomic differences in smoking in an urban Swedish population. The bias introduced by non-participation in a mailed questionnaire. Scand. J. Soc. Med. 1993; 21(2): 7782.CrossRefGoogle Scholar
17Samuelson, G, Bratteby, LE, Enghardt, H, Hedgren, M. Food habits and energy and nutrient intake in Swedish adolescents approaching the year 2000. Acta Paediatr. Suppl. 1996;415: 119.CrossRefGoogle ScholarPubMed
18Diderichsen, F. Health and social inequities in Sweden. Soc. Sci. Med. 1990; 31(3): 359–67.CrossRefGoogle ScholarPubMed
19Lynch, JW, Kaplan, GA, Cohen, RD, Kauhanen, J, Wilson, TW, Smith, NL, et al. . Childhood and adult socioeconomic status as predictors of mortality in Finland. Lancet 1994; 343(8896): 524–7.CrossRefGoogle ScholarPubMed
20Lynch, J, Kaplan, G, Salonen, J. Why do poor people behave poorly? Variation in adult health behaviours and psychosocial characteristics by stages of the socioeconomic lifecourse. Soc. Sci. Med. 1997; 44: 809–19.CrossRefGoogle ScholarPubMed
21Halldorsson, M, Kunst, AE, Köhler, L, Mackenbach, JP. Socioeconomic inequalities in the health and adolescents. A comparative study of the five Nordic countries. Eur. J. Public Health 2000; 10(4): 281–8.CrossRefGoogle Scholar
22Sundquist, J, Malmstrom, M, Johansson, SE. Cardiovascular risk factors and the neighbourhood environment: a multilevel analysis. Int. J. Epidemiol. 1999; 28(5): 841–5.CrossRefGoogle ScholarPubMed
23Wamala, SP, Lynch, J, Kaplan, GA. Women's exposure to early and later life socioeconomic disadvantage and coronary heart disease risk: the Stockholm Female Coronary Risk Study. Int. J. Epidemiol. 2001; 30(2): 275–84.CrossRefGoogle ScholarPubMed
24Winkleby, MA, Robinson, TN, Sundquist, J, Kraemer, HC. Ethnic variation in cardiovascular disease risk factors among children and young adults: findings from the Third National Health and Nutrition Examination Survey, 1988-1994. J. Am. Med. Assoc. 1999; 281(11): 1006–13.CrossRefGoogle Scholar
25Bartley, M, Fitzpatrick, R, Firth, D, Marmot, M. Social distribution of cardiovascular disease risk factors: change among men in England 1984-1993. J. Epidemiol. Community Health 2000; 54(11): 806–14.CrossRefGoogle ScholarPubMed
26Griffin, TC, Christoffel, KK, Binns, HJ, McGuire, PA. Family history evaluation as a predictive screen for childhood hypercholesterolemia. Pediatric Practice Research Group. Pediatrics 1989;84(2): 365–73.CrossRefGoogle ScholarPubMed
27Nathanson, CA. Sex roles as variables in preventive health behavior. J. Community Health 1977; 3(2): 142–55.CrossRefGoogle ScholarPubMed