Evidence map›Paper›PMID 28339973›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2017

Day-to-Day Variability in Self-Reported Cigarettes Per Day.

John R Hughes, Saul Shiffman, Shelly Naud, Erica N Peters

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Observational
  4. Article
  5. Article
  6. Validating E-Cigarette Dependence Scales Based on Dynamic Patterns of Vaping Behaviors.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  7. Article
  8. Sex Differences in Subjective and Behavioral Responses to Stressful and Smoking Cues Presented in the Natural Environment of Smokers.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
  9. Article
  10. 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

4 authors.

John R HughesVermont Center on Health and Behavior, Department of Psychiatry, University of Vermont, Burlington, VT.
Saul ShiffmanDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA.
Shelly NaudDepartment of Medical Biostatistics, University of Vermont, Burlington, VT.
Erica N PetersBattelle Public Health Center for Tobacco Research, Battelle Memorial Institute, Baltimore, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsNicotine addiction theory predicts small day-to-day variability in cigarettes/day (CPD) whereas social learning theory predicts large variability. A description of the variability in CPD over multiple days is not available.

methodsWe conducted secondary analyses of two natural history studies with daily smokers-one of smokers not intending to quit, and one of smokers intending to quit sometime in the next 3 months. In the former, smokers recorded their smoking during the day by Ecological Momentary Assessment, using a palm-top computer. In the latter, participants reported CPD nightly via a phone Interactive Voice Response system. Analyses were based on smokers who reported averaging ≥10 CPD, and on days in which there was no attempt to stop or reduce smoking.

resultsAcross the two studies, on average, smokers had small changes in day-to-day CPD (mean changes were 2.2 and 2.9 CPD). However a minority averaged changing by ≥5 CPD from one day to the next (7% and 11%), and many changed by ≥5 CPD on at least 10 of the 90 days (8% and 31%). Neither smoking restrictions, dependence, stereotypy ratings, nor interest in quitting predicted variability.

conclusionAlthough on average, smokers have little change day-to-day CPD, a substantial minority of smokers often change by 5 CPD from day-to-day. We did not find potential causes of this variability. IMPLICATIONS: Across day variability in CPD is larger than implied in prior studies. Determining causes of day-to-day variability should increase our understanding of the determinants of smoking.

Indexed as

Self ReportHumansSmokersTobacco ProductsTobacco SmokingTobacco Use Disorder

Identifiers

PMID28339973
PMCPMC5896539

What OpenQuestion holds

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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.