Survey non-response in the Netherlands: Effects on prevalence estimates and associations

Van Loon, A

doi:10.1016/s1047-2797(02)00257-0

Cited by 423Survey Methodology and NonresponseSurvey Sampling and Estimation TechniquesStatistical Methods in Epidemiology

Survey non-response in the Netherlands: Effects on prevalence estimates and associations

Van Loon, A·2003·Annals of Epidemiology

DOI 10.1016/s1047-2797(02)00257-0

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Abstract

Purpose Differences in respondent characteristics may lead to bias in prevalence estimates and bias in associations. Both forms of non-response bias are investigated in a study on psychosocial factors and cancer risk, which is a sub-study of a large-scale monitoring survey in the Netherlands.Methods Respondents of a cross-sectional monitoring project (MORGEN; N = 22,769) were also asked to participate in a prospective study on psychosocial factors and cancer risk (HLEQ; N = 12,097). To investigate diverse aspects of non-response in the HLEQ on prevalence estimates and associations are studied, based on information gathered in the MORGEN-project.Results A response percentage of 45% was obtained in the MORGEN-project. Response rates were found to be lower among men and younger people. The HLEQ showed a response percentage of 56%, and respondents reported higher socioeconomic status, better subjective health and healthier lifestyle behaviors than non-respondents. However, associations between smoking status and either socioeconomic status or subjective health based on respondents only were not statistically different from those based on the entire MORGEN-population.Conclusion Non-response leads to bias in prevalence estimates of current smoking, current alcohol intake, and low physical activity or poor subjective health. However, non-response did not cause bias in the examined associations.

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Prior research has found survey respondents to be somewhat healthier than nonrespondents.
“Indeed, prior research has found survey respondents to be somewhat healthier than nonrespondents.16,29”
From Prevalence and Profile of High-Impact Chronic Pain in the United States (2019) · cites this paper as [29]

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Authors: Van Loon, A.
Venue: Annals of Epidemiology
Publisher: Elsevier BV
Published: 2003-02
Volume: 13
Issue: 2
Pages: 105-110
ISSN: 1047-2797 (ISSN-L)
DOI: 10.1016/s1047-2797(02)00257-0
OpenAlex: W2165713489
Cited by: 423
References: 22
Citations by year: 2026: 4 · 2025: 13 · 2024: 6 · 2023: 21 · 2022: 16 · 2021: 20 · 2020: 25 · 2019: 23 · 2018: 16 · 2017: 23 · 2016: 24 · 2015: 27 · 2014: 24 · 2013: 24 · 2012: 22
FWCI: 55.81
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Annals of Epidemiology (publishedVersion)
PubMed (publishedVersion)
University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion)
Rivm (National Institute for Public Health and the Environment) (submittedVersion)
University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
Topics: Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords: survey nonresponse, nonresponse bias, prevalence estimates, psychosocial factors, cancer risk, smoking, alcohol consumption, physical activity, self-rated health, socioeconomic status, response rate
MeSH terms: Adult, Alcohol Drinking, Female, Health Surveys, Humans, Life Style, Male, Netherlands, Smoking, Socioeconomic Factors, Bias, Prevalence

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Survey non-response in the Netherlands: Effects on prevalence estimates and associations

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