Evidence map›Paper›PMID 27060589›Full record

ArticleEuropean journal of public health2016

Attrition analysed in five waves of a longitudinal yearly survey of smokers: findings from the ITC Netherlands survey.

Dennis Zethof, Gera E Nagelhout, Mark de Rooij, Pete Driezen, Geoffrey T Fong, Bas van den Putte, Karin Hummel, Hein de Vries, Mary E Thompson, Marc C Willemsen

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Article in European journal of public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  13. Construct and Predictive Validity of Three Measures of Intention to Quit Smoking: Findings From the International Tobacco Control (ITC) Netherlands Survey.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Dennis Zethof1 Department of Psychology, Alumni, Leiden University, Leiden, The Netherlands.
Gera E Nagelhout2 Department of Health Promotion, Maastricht University (CAPHRI), Maastricht, The Netherlands 3 Department of Family Medicine, Maastricht University (CAPHRI), Maastricht, The Netherlands gera.nagelhout@maastrichtuniversity.nl.
Mark de Rooij4 Department of Psychology, Leiden University, Leiden, The Netherlands.
Pete Driezen5 Department of Psychology and School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.
Geoffrey T Fong5 Department of Psychology and School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada 6 Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
Bas van den Putte7 Department of Communication, University of Amsterdam (ASCoR), Amsterdam, The Netherlands 8 Trimbos Institute, Netherlands Institute for Mental Health and Addiction, Utrecht, The Netherlands.
Karin Hummel2 Department of Health Promotion, Maastricht University (CAPHRI), Maastricht, The Netherlands.
Hein de Vries2 Department of Health Promotion, Maastricht University (CAPHRI), Maastricht, The Netherlands.
Mary E Thompson9 Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada.
Marc C Willemsen2 Department of Health Promotion, Maastricht University (CAPHRI), Maastricht, The Netherlands 10 Dutch Alliance for a Smokefree Society, The Hague, The Netherlands.

Funding

Variation in Cigarettes, Tobacco use Behaviors and Exposures in ITC CountriesP01CA138389 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI THOMPSON, MARY · 2009 to 2013
$13.4M
Project 3: Policy Effects on Cigarette Design, Emissions &BehaviorP50CA111236 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI CUMMINGS, KENNETH MICHAEL · 2004 to 2009
$8.2M
International Tobacco Policy SurveyR01CA100362 · NCI · UNIVERSITY OF WATERLOO · PI FONG, GEOFFREY T · 2005 to 2013
$4.7M
CIHR 115016CIHR 57897CIHR 79551NCI NIH HHS P01 CA138389NCI NIH HHS P50 CA111236NCI NIH HHS R01 CA100362
6 · The paper itself

Abstract

backgroundAttrition bias can affect the external validity of findings. This article analyses attrition bias and assesses the effectiveness of replenishment samples on demographic and smoking-related characteristics for the International Tobacco Control Netherlands Survey, a longitudinal survey among smokers.

methodsAttrition analyses were conducted for the first five survey waves (2008-12). We assessed, including and excluding replenishment samples, whether the demographic composition of the samples changed between the first and fifth waves. Replenishment samples were tailored to ensure the sample remained representative of the smoking population. We also constructed a multivariable survival model of attrition that included all five waves with replenishment samples.

resultsOf the original 1820 respondents recruited in 2008, 46% participated again in 2012. Demographic differences between waves due to attrition were generally small and replenishment samples tended to minimize them further. The multivariable survival analysis revealed that only two of the 10 variables analysed were significant predictors of attrition: a weak effect for gender (men dropped out more often) and weak to moderate effects for age (respondents aged 15-24 years dropped out more than aged 25-39 years, who dropped out more than those aged 40+ years).

conclusionsWeak to moderate attrition effects were found for men and younger age groups. This information could be used to minimize respondent attrition. Our findings suggest that sampling weights and tailored replenishment samples can effectively compensate for attrition effects. This is already being done for the International Tobacco Control Netherlands Survey, including the categories that significantly predicted attrition in this study.

Indexed as

AdolescentAdultAge FactorsFemaleHealth SurveysHumansLongitudinal StudiesMaleMiddle AgedNetherlandsPatient DropoutsReproducibility of ResultsSmokersSmokingSocioeconomic FactorsYoung Adult

Identifiers

PMID27060589
PMCPMC6363102

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.