Evidence map›Paper›PMID 24813578›Full record

ArticleEnvironmental research2014

Occupational secondhand smoke is the main determinant of hair nicotine concentrations in bar and restaurant workers.

Verónica Iglesias, Marcia Erazo, Andrea Droppelmann, Kyle Steenland, Paulina Aceituno, Cecilia Orellana, Marisol Acuña, Armando Peruga, Patrick N Breysse, Ana Navas-Acien

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Biomarkers of Secondhand Smoke Exposure in Waterpipe Tobacco Venue Employees in Istanbul, Moscow, and Cairo.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
    Article
  3. Article
  4. Article
  5. Observational
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

10 authors at 6 institutions in 3 countries.

Verónica IglesiasSchool of Public Health, Faculty of Medicine, University of Chile, Chile. Electronic address: viglesia@med.uchile.cl.
Marcia ErazoFaculty of Medicine, University of Chile, Chile.
Andrea DroppelmannLaboratory of Occupational Health, Institute of Public Health, Chile. Electronic address: perugaa@who.int.
Kyle SteenlandEnvironmental and Occupational Health Department, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Paulina AceitunoSchool of Public Health, Faculty of Medicine, University of Chile, Chile.
Cecilia OrellanaSchool of Public Health, Faculty of Medicine, University of Chile, Chile.
Marisol AcuñaTobacco Control Unit, Ministry of Health, Chile.
Armando PerugaNational Capacity Building Unit, Tobacco Control Program, World Health Organization, 20 Avenue Appia, 1211 Geneva 27, Switzerland.
Patrick N BreysseDepartments of Environmental Health Sciences and Epidemiology, and Institute for Global Tobacco Control, Johns Hopkins University, Bloomberg School of Public Health, USA.
Ana Navas-AcienDepartments of Environmental Health Sciences and Epidemiology, and Institute for Global Tobacco Control, Johns Hopkins University, Bloomberg School of Public Health, USA.
University of Chile · CLJohns Hopkins University · USEmory University · USInstituto de Salud Pública de Chile · CLMinistry of Health · CLWorld Health Organization · CH

Funding

Respiratory, reproductive, and other effects of air pollution and high altitudeD43TW005746 · FIC · EMORY UNIVERSITY · PI STEENLAND, NELSON K · 2001 to 2012
$1.9M
FIC NIH HHS D43 TW005746FIC NIH HHS D43TW005746-02World Health Organization 001
6 · The paper itself

Abstract

objectiveTo evaluate the relative contribution of occupational vs. non-occupational secondhand tobacco smoke exposure to overall hair nicotine concentrations in non-smoking bar and restaurant employees.

methodWe recruited 76 non-smoking employees from venues that allowed smoking (n=9), had mixed policies (smoking and non-smoking areas, n=13) or were smoke-free (n=2) between April and August 2008 in Santiago, Chile. Employees used personal air nicotine samplers during working and non-working hours for a 24-h period to assess occupational vs. non-occupational secondhand tobacco smoke exposure and hair nicotine concentrations to assess overall secondhand tobacco smoke exposure.

resultsMedian hair nicotine concentrations were 1.5 ng/mg, interquartile range (IQR) 0.7 to 5.2 ng/mg. Time weighted average personal air nicotine concentrations were higher during working hours (median 9.7, IQR 3.3-25.4 µg/m(3)) compared to non-working hours (1.7, 1.0-3.1 µg/m(3)). Hair nicotine concentration was best predicted by personal air nicotine concentration at working hours. After adjustment, a 2-fold increase in personal air nicotine concentration in working hours was associated with a 42% increase in hair nicotine concentration (95% confidence interval 14-70%). Hair nicotine concentration was not associated with personal air nicotine concentration during non-working hours (non-occupational exposure).

conclusionsPersonal air nicotine concentration at working hours was the major determinant of hair nicotine concentrations in non-smoking employees from Santiago, Chile. Secondhand tobacco smoke exposure during working hours is a health hazard for hospitality employees working in venues where smoking is allowed.

Indexed as

AdultAirFemaleHairHumansMaleNicotineOccupational ExposureRestaurantsTobacco Smoke PollutionYoung AdultNicotineTobacco Smoke PollutionExposure to secondhand tobacco smokeHair nicotine concentrationNon-smoking employeesPersonal sampler

Identifiers

PMID24813578
PMCPMC4351991
OpenAlexW2033099385

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.