Evidence map›Paper›PMID 19959690›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2009

Time to first cigarette after waking predicts cotinine levels.

Joshua E Muscat, Steven D Stellman, Ralph S Caraballo, John P Richie

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% of its field
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

69 citing papers in PubMed, 1 synthesis or guideline pooled it, 107 citations in OpenAlex.

  1. Pooled it
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  5. Factors associated with discontinuation of bupropion and counseling among African American light smokers in a randomized clinical trial.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2013
    Trial
  6. The effect of menthol on cigarette smoking behaviors, biomarkers and subjective responses.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
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  9. Article
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  12. The Relative Reinforcing Value of Menthol Among Young Adult Cigarette Smokers: Results From a Behavioral Choice Task.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
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  17. Smoking, Lung Cancer Stage, and Prognostic Factors-Findings from the National Lung Screening Trial.International journal of environmental research and public health · 2024
    Article
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  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Joshua E MuscatDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033, USA. jmuscat@psu.edu
Steven D Stellman
Ralph S Caraballo
John P Richie
Columbia University · USCenters for Disease Control and Prevention · US

Funding

SCIENTIFIC INFORMATION FACILITYP30CA017613 · NCI · INSTITUTE FOR CANCER PREVENTION · PI NIXON, DANIEL W · 1985 to 2005
$13.1M
UDP GLUCURONOSYLTRANSFERASES, DETOXIFICATION OF NNKP01CA068384 · NCI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LAZARUS, PHILIP · 1995 to 2005
$8.5M
Epidemiology of protein glutathiolationK07CA104231 · NCI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI MUSCAT, JOSHUA E · 2005 to 2009
$681k
NCI NIH HHS CA104231NCI NIH HHS CA17613NCI NIH HHS CA68384NCI NIH HHS K07 CA104231NCI NIH HHS P01 CA068384NCI NIH HHS P30 CA017613
6 · The paper itself

Abstract

There is wide variability in cotinine levels per cigarette smoked. We hypothesized that in addition to smoking frequency, other behavioral measures of nicotine dependence, such as the time to first cigarette after waking, are associated with cotinine levels. To test this hypothesis, we measured plasma and urinary cotinine in a community-based study of 252 black and white daily cigarette smokers. Among one pack per day smokers, plasma cotinine levels varied from 16 to 1,180 ng/mL, a 74-fold difference. Two nicotine dependence phenotypes were discerned by time after waking. Subjects in the "low" dependent phenotype smoked >30 minutes after waking and nearly all smoked < or =20 cigarettes per day. Cotinine levels increased linearly with cigarette consumption in this group. Subjects in the "high" dependent phenotype smoked < or =30 minutes after waking but had a wide range in the frequency of daily cigarettes (6-70). Compared with the low dependent phenotype, there were relatively small differences in cotinine by cigarette frequency with evidence of a plateau effect in heavy smokers ( approximately 30). After adjusting for cigarette frequency, the levels of cotinine by time to first cigarette were as follows: < or =5 minutes, 437 [95% confidence limits (CL), 380-494]; 6 to 30 minutes, 352 (95% CL, 291-413), 31 to 60 minutes, 229 (95% CL, 140-317), and >60 minutes, 215 (95% CL, 110-321). Similar findings were observed for urinary cotinine. These findings suggest that the time to first cigarette is a strong predictor of nicotine uptake and should be considered in the design of smoking interventions.

Indexed as

SmokingWakefulnessAdolescentAdultCotinineFemaleHumansMaleMiddle AgedPrognosisTime FactorsTobacco Use DisorderYoung AdultCotinine

Identifiers

PMID19959690
PMCPMC2952424
OpenAlexW2110615895

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.