Literature DB >> 19930019

Non-response bias in alcohol and drug population surveys.

Jinhui Zhao1, Tim Stockwell, Scott Macdonald.   

Abstract

INTRODUCTION AND AIMS: This proposed study was to assess non-response bias in the 2004 Canadian Addictions Survey (CAS). DESIGN AND METHODS: Two approaches were used to assess non-response bias in the CAS which had a response rate of only 47%. First, the CAS sample characteristics were compared with the 2002 Canadian Community Health Survey (CCHS, response rate 77%) and the 2001 Canada Census data. Second, characteristics of early and late respondents were compared.
RESULTS: People with lowest income and less than high-school education and those who never married were under-represented in the CAS compared with the Census, but similar to the CCHS. Substance use was more prevalent in the CAS than the CCHS sample, but most of the CAS and CCHS estimates did not exceed +/-3% points. Late respondents were also significantly more likely to be male, young adult, highly educated, used, have high income, live in different provinces and report substance use. Multivariate logistic regression found significant non-response bias for lifetime, past 12 months, chronic risky, acute risky and heavy monthly alcohol use, lifetime and past year cannabis use, lifetime hallucinogen use, any illicit drug uses of lifetime and past year. Adjustment for non-response bias substantially increased prevalence estimates. For example, the estimates for lifetime and past 12 month illicit drug use increased by 5.22% and 10.34%. DISCUSSION AND
CONCLUSIONS: It is concluded that non-response bias is a significant problem in substance use surveys with low response rates but that some adjustments can be made to compensate.

Entities:  

Mesh:

Year:  2009        PMID: 19930019     DOI: 10.1111/j.1465-3362.2009.00077.x

Source DB:  PubMed          Journal:  Drug Alcohol Rev        ISSN: 0959-5236


  52 in total

Review 1.  Using administrative health data for the surveillance of interventions for alcohol-related harm among young people.

Authors:  Steve Kisely; Mark Asbridge; Jason Connor; Angela White; Joanne Pais; Elizabeth Lin
Journal:  CMAJ       Date:  2011-06-13       Impact factor: 8.262

2.  Use and nonmedical use of prescription opioid analgesics in the general population of Canada and correlations with dispensing levels in 2009.

Authors:  Kevin D Shield; Wayne Jones; Jürgen Rehm; Benedikt Fischer
Journal:  Pain Res Manag       Date:  2013 Mar-Apr       Impact factor: 3.037

3.  Drinking and driving among adults in the United States: Results from the 2012-2013 national epidemiologic survey on alcohol and related conditions-III.

Authors:  Amy Z Fan; Bridget F Grant; W June Ruan; Boji Huang; S Patricia Chou
Journal:  Accid Anal Prev       Date:  2019-01-31

4.  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

5.  Making (up) the grade? estimating the genetic and environmental influences of discrepancies between self-reported grades and official GPA scores.

Authors:  Joseph A Schwartz; Kevin M Beaver
Journal:  J Youth Adolesc       Date:  2014-09-10

6.  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

7.  Selective nonresponse bias in population-based survey estimates of drug use behaviors in the United States.

Authors:  Sean Esteban McCabe; Brady T West
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2015-09-16       Impact factor: 4.328

8.  An adaptation of the Yesterday Method to correct for under-reporting of alcohol consumption and estimate compliance with Canadian low-risk drinking guidelines.

Authors:  Jinhui Zhao; Tim Stockwell; Gerald Thomas
Journal:  Can J Public Health       Date:  2015-04-29

9.  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

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.