Evidence map›Paper›PMID 35164711›Full record

ArticleBMC public health2022

Smoking intensity and urinary nicotine metabolites by socioeconomic status in the Heinz Nixdorf Recall study.

Jan Hovanec, Tobias Weiß, Holger M Koch, Beate Pesch, Thomas Behrens, Benjamin Kendzia, Marina Arendt, Nico Dragano, Susanne Moebus, Börge Schmidt and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

12 authors at 5 institutions in 1 country.

Jan HovanecInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany. hovanec@ipa.ruhr-uni-bochum.de.ORCID 0000-0003-1811-1465
Tobias WeißInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany.
Holger M KochInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany.
Beate PeschInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany.
Thomas BehrensInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany.
Benjamin KendziaInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany.
Marina ArendtInstitute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, Essen, Germany.
Nico DraganoInstitute of Medical Sociology, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany.
Susanne MoebusInstitute for Urban Public Health, Essen University Hospital, University Duisburg-Essen, Essen, Germany.
Börge SchmidtInstitute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, Essen, Germany.
Thomas BrüningInstitute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany.
Karl-Heinz JöckelInstitute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, Essen, Germany.
Institute for Prevention and Occupational Medicine · DEInstitut für Medizinische Informatik, Biometrie und Epidemiologie · DEDortmund University of Applied Sciences and Arts · DEEssen University Hospital · DEHeinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking intensity, which is generally based on self-reported average cigarettes per day (CPD), is a major behavioural risk factor and strongly related to socioeconomic status (SES). To assess the validity of the CPD measure, correlations with objective markers of tobacco smoke exposure - such as urinary nicotine metabolites - were examined. Yet, it remains unclear, whether this correlation is affected by SES, which may indicate imprecise or biased self-reports of smoking intensity.

methodsWe investigated the role of SES in the association between CPD and nicotine metabolites in current smokers among the participants of the population-based, prospective Heinz Nixdorf Recall Study. We determined urinary cotinine and additionally trans-3'-hydroxy-cotinine. SES was assessed by the International Socio-Economic Index of occupational status, and education. We calculated correlations (Pearson's r) between logarithmised CPD and cotinine in subgroups of SES and analysed SES and further predictors of cotinine in multiple linear regression models separately by gender.

resultsMedian reported smoking intensity was 20 CPD in male and 19 CPD in female smokers. Men showed higher cotinine concentrations (median 3652 μg/L, interquartile range (IQR) 2279-5422 μg/L) than women (3127 μg/L, IQR 1692-4920 μg/L). Logarithmised CPD correlated moderately with cotinine in both, men and women (Pearson's r 0.4), but correlations were weaker in smokers with lower SES: Pearson's r for low, intermediate, and high occupational SES was 0.35, 0.39, and 0.48 in men, and 0.28, 0.43, and 0.47 in women, respectively. Logarithmised CPD and urinary creatinine were main predictors of cotinine in multiple regression models, whereas SES showed a weak negative association in women. Results were similar for trans-3'-hydroxy-cotinine.

conclusionsDecreasing precision of self-reported CPD was indicated for low SES in men and women. We found no strong evidence for biased self-reports of smoking intensity by SES.

Indexed as

CotinineNicotineFemaleHumansMaleProspective StudiesSmokingSocial ClassCotinineNicotineCigarettes per dayCotinineInformation biasOccupational statusTrans-3′-hydroxy-cotinine

Identifiers

PMID35164711
PMCPMC8842804
OpenAlexW4213066446

What OpenQuestion holds

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LicenceCC BY
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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.