Evidence map›Paper›PMID 30943945›Full record

ArticleBMC public health2019

Socioeconomic differences in nicotine exposure and dependence in adult daily smokers.

Allshine Chen, Michael Machiorlatti, Nicolle M Krebs, Joshua E Muscat

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
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  12. International journal of molecular sciences · 2024
    Article
  13. Prevalence of nicotine dependence among smokers aged 40 years and older in China.Chinese medical journal pulmonary and critical care medicine · 2024
    Article
  14. Review
  15. Article
  16. Review
  17. Observational
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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

4 authors at 2 institutions in 2 countries.

Allshine ChenDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, 801 NE 13th Street CHB309, Box 26901, Oklahoma City, OK, 73104, USA.
Michael MachiorlattiDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, 801 NE 13th Street CHB309, Box 26901, Oklahoma City, OK, 73104, USA.
Nicolle M KrebsDepartment of Public Health Sciences, Penn State College of Medicine, 500 University Dr. CH69, Hershey, PA, 17033, USA.
Joshua E MuscatDepartment of Public Health Sciences, Penn State College of Medicine, 500 University Dr. CH69, Hershey, PA, 17033, USA. jmuscat@pennstatehealth.psu.edu.ORCID http://orcid.org/0000-0003-0867-423X
Pennsylvania State University · USUniversity of Oklahoma Health Sciences Center · US

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Penn State Clinical and Translational Science InstituteUL1TR000127 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SINOWAY, LAWRENCE I · 2012 to 2015
$17.1M
Socioeconomic status and smoking exposure in AppalachiaR01DA026815 · NIDA · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI MUSCAT, JOSHUA E · 2011 to 2015
$1.6M
National Institute on Drug Abuse R01 DA026815NCATS NIH HHS UL1 TR000127NCATS NIH HHS UL1 TR002014NIDA NIH HHS R01 DA026815
6 · The paper itself

Abstract

backgroundSocioeconomic status (SES) is a major determinant of tobacco use but little is known whether SES affects nicotine exposure and the degree of nicotine dependence.

methodsThe Pennsylvania Adult Smoking Study is a cross-sectional study of smoke exposure and nicotine dependence among adults conducted in central Pennsylvania between June 2012 and April 2014. The study included several measures of SES, including assessments of education and household income, as well as occupation, home ownership, health insurance, household density and savings accounts. Measurements included saliva for the nicotine metabolites cotinine (COT), 3-'hydroxycotinine (3HC) and total metabolites (COT +3HC). Puffing behavior was determined using portable smoking topography devices.

resultsThe income levels of lighter smokers (< 20 cigarettes per day) was $10,000 more than heavier smokers. Higher Fagerström Test for Nicotine Dependence scores were associated with lower income and job status, scores ranged from 5.4 in unemployed, 4.4 in blue-collar, and 3.8 in white-collar workers. In principal components analysis used to derive SES indicators, household income, number in household, and type of dwelling were the major SES correlates of the primary component. Job category was the major correlate of the second component. Lower SES predicted significantly higher adjusted total nicotine metabolite levels in the unemployed group. Job category was significantly associated with total daily puffs, with the highest level in the unemployed, followed by blue-collar workers, after adjustment for income.

conclusionsAmong smokers, there was a relationship between lower SES and increased nicotine dependence, cigarettes per day and nicotine exposure, which varied by job type.

Indexed as

EmploymentOccupationsSmokingSocial ClassTobacco Use DisorderAdultCotinineCross-Sectional StudiesData CollectionFemaleHumansIncomeMaleMiddle AgedNicotinePennsylvaniaCotininehydroxycotinineNicotineSmokeCotinineIncomeOccupationsPrincipal components analysisTobacco use disorder

Identifiers

PMID30943945
PMCPMC6448228
OpenAlexW2933083817

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.