Evidence map›Paper›PMID 22547777›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2013

Variations in daily cigarette consumption on work days compared with nonwork days and associations with quitting: findings from the international tobacco control four-country survey.

Jae Cooper, Ron Borland, Hua-Hie Yong, Andrew Hyland, K Michael Cummings

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. Consistency of daily cigarette smoking amount in dependent adults.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2013
    Article
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

5 authors.

Jae CooperVicHealth Center for Tobacco Control, Cancer Council Victoria, Victoria, Australia.
Ron Borland
Hua-Hie Yong
Andrew Hyland
K Michael Cummings

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
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
Cancer Research UK C312/A3726CIHR 57897CIHR 79551NCI NIH HHS P30 CA016056NCI NIH HHS P50 CA111236NCI NIH HHS R01 CA 100362
6 · The paper itself

Abstract

introductionWe explore whether reported daily cigarette consumption differs between work days and nonwork days and whether variation in consumption between work days and nonwork days influences quitting and abstinence from smoking. We also explore whether effects are independent of measures of addiction and smoking restrictions at work and home.

methodsData were from 5,732 respondents from the first five waves of the International Tobacco Control Four-Country Survey, occurring between 2002 and 2006. Respondents were current smokers employed outside the home. Variation in daily cigarette consumption on work days compared with nonwork days at one wave was used to predict the likelihood of making an attempt and the likelihood of maintaining a quit attempt for at least a month at the next wave. Generalized estimating equations were used to combine data for multiple waves.

resultsJust under half reported smoking more on a nonwork day, a little over a third reported no difference, and around one fifth reported smoking more on a work day. Controlling for possible confounding factors, smoking more on a work day was associated with making quit attempts. Among people who made a quit attempt, variation in consumption did not consistently predict one month's abstinence, being positive in Australia, but negative in the United Kingdom.

conclusionThose who smoke more on work days try to quit more. Country differences for success may be related to the extent of bans on smoking, with those smoking more on work days more likely to succeed where bans in workplaces and public places were more prevalent, such as Australia at the time.

Indexed as

AdultAustraliaCanadaFemaleHealth SurveysHumansMaleMultivariate AnalysisOdds RatioSmokingSmoking CessationTobacco ProductsTobacco Use DisorderUnited KingdomUnited States

Identifiers

PMID22547777
PMCPMC3524064

What OpenQuestion holds

Textmetadata
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Registered trials

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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.