Literature DB >> 12003914

Non-response bias in a sample survey on alcohol consumption.

Viviënne M H C J Lahaut1, Harrie A M Jansen, Dike van de Mheen, Henk F L Garretsen.   

Abstract

In a non-response follow-up study, non-respondents of the original mailed questionnaire were approached again by house visits in order to compare their alcohol consumption with that of the respondents of the same mailed questionnaire. Differences in alcohol consumption between respondents and non-respondents were found. There is strong evidence for overrepresentation of non-response among abstainers, but weak evidence among frequent excessive drinkers.

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Year:  2002        PMID： 12003914     DOI： 10.1093/alcalc/37.3.256

Source DB:  PubMed          Journal:  Alcohol Alcohol        ISSN： 0735-0414            Impact factor:   2.826


  22 in total

1.  Investigating response bias in an information technology survey of physicians.

Authors:  Nir Menachemi; Neset Hikmet; Mary Stutzman; Robert G Brooks
Journal:  J Med Syst       Date:  2006-08       Impact factor: 4.460

2.  The effect of survey sampling frame on coverage: the level of and changes in alcohol-related mortality in Finland as a test case.

Authors:  Pia Mäkelä; Petri Huhtanen
Journal:  Addiction       Date:  2010-11       Impact factor: 6.526

3.  Nonresponse bias in survey estimates of alcohol consumption and its association with harm.

Authors:  Deborah A Dawson; Risë B Goldstein; Roger P Pickering; Bridget F Grant
Journal:  J Stud Alcohol Drugs       Date:  2014-07       Impact factor: 2.582

4.  Estimation of smoking prevalence in Canada: Implications of survey characteristics in the CCHS and CTUMS/CTADS.

Authors:  Thierry Gagné
Journal:  Can J Public Health       Date:  2017-09-14

5.  Marital status, educational level and household income explain part of the excess mortality of survey non-respondents.

Authors:  Hanna Tolonen; Tiina Laatikainen; Satu Helakorpi; Kirsi Talala; Tuija Martelin; Ritva Prättälä
Journal:  Eur J Epidemiol       Date:  2009-09-25       Impact factor: 8.082

6.  The impact of school nonresponse on substance use prevalence estimates - Germany as a case study.

Authors:  Johannes Thrul; Alexander Pabst; Ludwig Kraus
Journal:  Int J Drug Policy       Date:  2015-06-30

7.  Alcohol-attributable cancer deaths and years of potential life lost in the United States.

Authors:  David E Nelson; Dwayne W Jarman; Jürgen Rehm; Thomas K Greenfield; Grégoire Rey; William C Kerr; Paige Miller; Kevin D Shield; Yu Ye; Timothy S Naimi
Journal:  Am J Public Health       Date:  2013-02-14       Impact factor: 9.308

8.  Practical considerations for sensitivity analysis after multiple imputation applied to epidemiological studies with incomplete data.

Authors:  Vanina Héraud-Bousquet; Christine Larsen; James Carpenter; Jean-Claude Desenclos; Yann Le Strat
Journal:  BMC Med Res Methodol       Date:  2012-06-08       Impact factor: 4.615

9.  Alcohol use and mental distress as predictors of non-response in a general population health survey: the HUNT study.

Authors:  Fartein Ask Torvik; Kamilla Rognmo; Kristian Tambs
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2011-05-05       Impact factor: 4.328

10.  Increasing response to a postal survey of sedentary patients - a randomised controlled trial [ISRCTN45665423].

Authors:  Roger A Harrison; Don Cock
Journal:  BMC Health Serv Res       Date:  2004-11-10       Impact factor: 2.655
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