Literature DB >> 2254781

Patterns of non-response to a mail survey.

C A Macera1, K L Jackson, D R Davis, J J Kronenfeld, S N Blair.   

Abstract

This paper describes a basic investigation of possible non-response bias in a mail survey. We compare characteristics of responders and non-responders to a mail survey of health outcomes among participants of a longitudinal study of physical activity, physical fitness, and health. Results indicate that, at the first clinic visit, the responders were essentially the same as the non-responders on personal health history and laboratory measurements, while reporting significantly more family history of specific chronic diseases (cardiovascular disease, hypertension, stroke). The male responders were younger and reported more positive health behaviors as well as better weight and treadmill times at the first clinic visit. These results suggest that both response groups were equally healthy at entry, and that individuals who had family members with certain chronic conditions and who had positive health behaviors were more likely to respond (participate) in this health-related survey. Differences of this type could affect interpretation of future analyses. This work illustrates the importance of incorporating methods to examine non-response into any epidemiologic study.

Entities:  

Mesh:

Year:  1990        PMID: 2254781     DOI: 10.1016/0895-4356(90)90112-3

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  41 in total

1.  Non-responders to a postal questionnaire on respiratory symptoms and diseases.

Authors:  E Rönmark; A Lundqvist; B Lundbäck; L Nyström
Journal:  Eur J Epidemiol       Date:  1999-03       Impact factor: 8.082

2.  Non-response and related factors in a nation-wide health survey.

Authors:  K Korkeila; S Suominen; J Ahvenainen; A Ojanlatva; P Rautava; H Helenius; M Koskenvuo
Journal:  Eur J Epidemiol       Date:  2001       Impact factor: 8.082

3.  National health surveys by mail or home interview: effects on response.

Authors:  H S Picavet
Journal:  J Epidemiol Community Health       Date:  2001-06       Impact factor: 3.710

4.  Estimating non-response bias in family studies: application to mental health and lifestyle.

Authors:  Jacqueline M Vink; Gonneke Willemsen; Janine H Stubbe; Christel M Middeldorp; Rozemarijn S L Ligthart; Kim D Baas; Hanneke J C Dirkzwager; Eco J C de Geus; Dorret I Boomsma
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

5.  Body mass index as a predictor of hypertension incidence among initially healthy normotensive women.

Authors:  Sara L Shuger; Xuemei Sui; Timothy S Church; Rebecca A Meriwether; Steven N Blair
Journal:  Am J Hypertens       Date:  2008-04-10       Impact factor: 2.689

6.  The effect of cardiorespiratory fitness on age-related lipids and lipoproteins.

Authors:  Yong-Moon Mark Park; Xuemei Sui; Junxiu Liu; Haiming Zhou; Peter F Kokkinos; Carl J Lavie; James W Hardin; Steven N Blair
Journal:  J Am Coll Cardiol       Date:  2015-05-19       Impact factor: 24.094

7.  Factors associated with survey response in hand surgery research.

Authors:  Arjan G J Bot; Jade A Anderson; Valentin Neuhaus; David Ring
Journal:  Clin Orthop Relat Res       Date:  2013-06-26       Impact factor: 4.176

8.  25-year trends and socio-demographic differences in response rates: Finnish adult health behaviour survey.

Authors:  Hanna Tolonen; Satu Helakorpi; Kirsi Talala; Ville Helasoja; Tuija Martelin; Ritva Prättälä
Journal:  Eur J Epidemiol       Date:  2006-06-28       Impact factor: 8.082

9.  A demonstration of the impact of response bias on the results of patient satisfaction surveys.

Authors:  Kathleen M Mazor; Brian E Clauser; Terry Field; Robert A Yood; Jerry H Gurwitz
Journal:  Health Serv Res       Date:  2002-10       Impact factor: 3.402

10.  Non-response bias in physical activity trend estimates.

Authors:  Cora L Craig; Christine Cameron; Joe Griffiths; Adrian Bauman; Catrine Tudor-Locke; Ross E Andersen
Journal:  BMC Public Health       Date:  2009-11-22       Impact factor: 3.295

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