Literature DB >> 8412144

Alcohol surveys with high and low coverage rate: a comparative analysis of survey strategies in the alcohol field.

E Kühlhorn1, H Leifman.   

Abstract

Two Swedish alcohol surveys were compared in a search for a reasonable explanation of the large difference in their coverage rates, namely 75% and 28%. In many respects both surveys conducted in the late 1980s by large, well-known institutes, are of a similar type with rather large samples of Swedes. The technique used in the survey with a very high coverage rate (Survey A) takes into consideration the actual drinking pattern of the population studied (i.e., the concentration of drinking on weekends). By dividing a "normal week's consumption" into four units (Monday-Thursday, Friday, Saturday and Sunday), the technique allows one to average periods with varying drinking habits. In the survey with a low coverage rate (Survey B) a "normal week's consumption" was not so divided. A test of internal validity within Survey A underlined the general finding that its higher coverage rate was due to this division. A test of the external validity at aggregate level did not support assumptions about "telescoping" effects in A. Both A and B had a normal week as a basis of measurement for investigating typical drinking habits. The literature concerning differences in coverage rates focuses on the measurement of modal habits versus mean habits. The main explanation of differences is that methods that focus on modal habits (i.e., the Quantity-Frequency Scale) generate a lower coverage rate than do methods that elicit the arithmetic mean (i.e., the last-week recall). Since A and B both belong to the former type of scale, this does not explain our results.

Entities:  

Mesh:

Substances:

Year:  1993        PMID: 8412144     DOI: 10.15288/jsa.1993.54.542

Source DB:  PubMed          Journal:  J Stud Alcohol        ISSN: 0096-882X


  11 in total

1.  Risk behaviours and self rated health in Russia 1998.

Authors:  P Carlson
Journal:  J Epidemiol Community Health       Date:  2001-11       Impact factor: 3.710

2.  Alcohol consumption and gender in the 20th century: the case of Switzerland.

Authors:  M Bopp; G Gmel
Journal:  Soz Praventivmed       Date:  1999

3.  Alcohol and smoking consumption behaviours in older Australian adults: prevalence, period and socio-demographic differentials in the DYNOPTA sample.

Authors:  Richard A Burns; Carole L Birrell; David Steel; Paul Mitchell; Kaarin J Anstey
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2012-08-10       Impact factor: 4.328

4.  Exploring daily variations of drinking in the Swiss general population. A growth curve analysis.

Authors:  Jean-Luc Heeb; Gerhard Gmel; Jürgen Rehm; Meichun Mohler-Kuo
Journal:  Int J Methods Psychiatr Res       Date:  2008       Impact factor: 4.035

5.  Twelve-month follow-up results from a randomized controlled trial of a brief personalized feedback intervention for problem drinkers.

Authors:  John A Cunningham; T Cameron Wild; Joanne Cordingley; Trevor Van Mierlo; Keith Humphreys
Journal:  Alcohol Alcohol       Date:  2010-02-10       Impact factor: 2.826

Review 6.  Alcohol measurement methodology in epidemiology: recent advances and opportunities.

Authors:  Thomas K Greenfield; William C Kerr
Journal:  Addiction       Date:  2008-04-16       Impact factor: 6.526

7.  Formative evaluation and three-month follow-up of an online personalized assessment feedback intervention for problem drinkers.

Authors:  John A Cunningham; Keith Humphreys; Kypros Kypri; Trevor van Mierlo
Journal:  J Med Internet Res       Date:  2006-04-12       Impact factor: 5.428

8.  Randomized controlled trial of a minimal versus extended Internet-based intervention for problem drinkers: study protocol.

Authors:  John A Cunningham; Christian S Hendershot; Jürgen Rehm
Journal:  BMC Public Health       Date:  2015-01-21       Impact factor: 3.295

9.  A randomized controlled trial of an internet-based intervention for alcohol abusers.

Authors:  John A Cunningham; T Cameron Wild; Joanne Cordingley; Trevor van Mierlo; Keith Humphreys
Journal:  Addiction       Date:  2009-12       Impact factor: 6.526

10.  Does providing a brief internet intervention for hazardous alcohol use to people seeking online help for depression reduce both alcohol use and depression symptoms among participants with these co-occurring disorders? Study protocol for a randomised controlled trial.

Authors:  John A Cunningham; Christian S Hendershot; Frances Kay-Lambkin; Clayton Neighbors; Kathleen M Griffiths; Kylie Bennett; Anthony Bennett; Alexandra Godinho; Christina Schell
Journal:  BMJ Open       Date:  2018-07-19       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.