14
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Impact of the Spanish Smoking Law on Exposure to Second-Hand Smoke and Respiratory Health in Hospitality Workers: A Cohort Study

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          A smoke-free law came into effect in Spain on 1st January 2006, affecting all enclosed workplaces except hospitality venues, whose proprietors can choose among totally a smoke-free policy, a partial restriction with designated smoking areas, or no restriction on smoking on the premises. We aimed to evaluate the impact of the law among hospitality workers by assessing second-hand smoke (SHS) exposure and the frequency of respiratory symptoms before and one year after the ban.

          Methods and Finding

          We formed a baseline cohort of 431 hospitality workers in Spain and 45 workers in Portugal and Andorra. Of them, 318 (66.8%) were successfully followed up 12 months after the ban, and 137 nonsmokers were included in this analysis. We obtained self-reported exposure to SHS and the presence of respiratory symptoms, and collected saliva samples for cotinine measurement. Salivary cotinine decreased by 55.6% after the ban among nonsmoker workers in venues where smoking was totally prohibited (from median of 1.6 ng/ml before to 0.5 ng/ml, p<0.01). Cotinine concentration decreased by 27.6% (p = 0.068) among workers in venues with designated smoking areas, and by 10.7% (p = 0.475) among workers in venues where smoking was allowed. In Portugal and Andorra, no differences between cotinine concentration were found before (1.2 ng/ml) and after the ban (1.2 ng/ml). In Spain, reported respiratory symptom declined significantly (by 71.9%; p<0.05) among workers in venues that became smoke-free. After adjustment for potential confounders, salivary cotinine and respiratory symptoms decreased significantly among workers in Spanish hospitality venues where smoking was totally banned.

          Conclusions

          Among nonsmoker hospitality workers in bars and restaurants where smoking was allowed, exposure to SHS after the ban remained similar to pre-law levels. The partial restrictions on smoking in Spanish hospitality venues do not sufficiently protect hospitality workers against SHS or its consequences for respiratory health.

          Related collections

          Most cited references71

          • Record: found
          • Abstract: found
          • Article: not found

          The Tobacco Control Scale: a new scale to measure country activity.

          To quantify the implementation of tobacco control policies at country level using a new Tobacco Control Scale and to report initial results using the scale. A questionnaire sent to correspondents in 30 European countries, using a scoring system designed with the help of a panel of international tobacco control experts. The 30 countries are ranked by their total score on the scale out of a maximum possible score of 100. Only four countries (Ireland, United Kingdom, Norway, Iceland) scored 70 or more, with an eight point gap (most differences in scores are small) to the fifth country, Malta, on 62. Only 13 countries scored above 50, 11 of them from the European Union (EU), and the second largest points gap occurs between Denmark on 45 and Portugal on 39, splitting the table into three groups: 70 and above, 45 to 62, 39 and below. Ireland had the highest overall score, 74 out of 100, and Luxembourg was bottom with 26 points. However even Ireland, much praised for their ban on smoking in public places, did not increase tobacco taxes in 2005, for the first time since 1995. Although the Tobacco Control Scale has limitations, this is the first time such a scale has been developed and applied to so many countries. We hope it will be useful in encouraging countries to strengthen currently weak areas of their tobacco control policy.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Relationship between prevalence rate ratios and odds ratios in cross-sectional studies.

            Cross-sectional data are frequently encountered in epidemiology and published results are predominantly presented in terms of prevalence odds ratios (POR). A recent debate suggested a switch from POR, which is easily obtained via logistic regression analysis available in many statistical packages, to prevalence rate ratios (PRR). We thought it useful to explore the mathematical relationship between PRR and POR and to evaluate the degree of divergence of the two measures as a function of the prevalence of disease and exposure. With the use of some algebra and the common definitions of prevalence of the disease (Pr(D)), prevalence of the exposure (Pr(E)), PRR, and POR in a 2 x 2 table, we have identified a useful formula that represents the mathematical relationship between these four quantities. Plots of POR versus PRR for selected values of Pr(D) and Pr(E) are reported. Mathematically speaking the general relationship takes the form of a second order curve which can change curvature and/or rotate around the point POR = PRR = 1 according to the values of Pr(D) and Pr(E), with POR being always further from the null value than is PRR. The discrepancies are much more influenced by variations in Pr(D) than in Pr(E). We think that the choice between POR or PRR in a cross-sectional study ought to be based on epidemiological grounds and not on the availability of software tools. The paper offers a formula and some-examples for a better understanding of the relationship between PRR and POR as a function of the prevalence of the disease and the prevalence of the exposure.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Biomarkers of environmental tobacco smoke exposure.

              Biomarkers are desirable for quantitating human exposure to environmental tobacco smoke (ETS) and for predicting potential health risks for exposed individuals. A number of biomarkers of ETS have been proposed. At present cotinine, measured in blood, saliva, or urine, appears to be the most specific and the most sensitive biomarker. In nonsmokers with significant exposure to ETS, cotinine levels in the body are derived primarily from tobacco smoke, can be measured with extremely high sensitivity, and reflect exposure to a variety of types of cigarettes independent of machine-determined yield. Under conditions of sustained exposure to ETS (i.e., over hours or days), cotinine levels reflect exposure to other components of ETS. Supporting the validity of cotinine as a biomarker, cotinine levels have been positively correlated to the risks of some ETS-related health complications in children who are not cigarette smokers. Images Figure 1
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2009
                23 January 2009
                : 4
                : 1
                : e4244
                Affiliations
                [1 ]Tobacco Research & Control Unit, Institut Català d'Oncologia (ICO), L'Hospitalet de Llobregat, Barcelona, Spain
                [2 ]Department of Clinical Sciences, Campus of Bellvitge, Universitat de Barcelona, L'Hospitalet, Barcelona, Spain
                [3 ]Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
                [4 ]Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
                [5 ]Bioanalysis Research Group, Neuropsychopharmacology Programme, IMIM-Hospital del Mar, Barcelona, Spain
                [6 ]Evaluation and Intervention Methods Unit, Agència de Salut Pública de Barcelona (ASPB), Barcelona, Spain
                [7 ]CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
                [8 ]Programme in Public Health and Biomedical Research, Universitat Autònoma de Barcelona, Bellaterra, Spain
                [9 ]Consejería de Salud, Xunta de Galicia, Santiago de Compostela, Spain
                [10 ]Department of Public Health, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
                [11 ]Ajuntament de Terrassa-IMSABS, Terrassa, Spain
                [12 ]Department of Public Health, Universitat de Barcelona, Barcelona, Spain
                [13 ]Department of Health, Generalitat de Catalunya, Barcelona, Spain
                National Institute for Public Health and the Environment, Netherlands
                Author notes

                Conceived and designed the experiments: EF MJL MPR AS CA ES MN. Performed the experiments: JAP. Analyzed the data: EF MF JAP AS JMMS. Contributed reagents/materials/analysis tools: MF JAP MJL ES. Wrote the paper: EF MF JAP MJL MPR AS JMMS CA ES MN. Co-ordinated participant recruitment, data collection and data management: EF MF. Wrote the first version of the paper: EF. Guarantoor: EF. Assisted with participant recruitment and data collection, in collaboration with study co-ordinators and field workers in each region: MF MJL MPR AS. Participated in the interpretation of results: MF JAP MJL MPR AS JMMS CA ES MN. Contributed to the writing of the manuscript: MF JAP ES MN. Participated in the study design: JAP MJL MPR AS. Responsible for cotinine analyses, in collaboration with Raúl Pérez: JAP. Contributed to the critical review of the manuscript: JAP MPR AS JMMS CA. Contributed to revision of the manuscript: JAP MPR AS JMMS CA ES MN. Performed statistical analyses: JMMS.

                Article
                08-PONE-RA-05645R1
                10.1371/journal.pone.0004244
                2621339
                19165321
                ebe27635-eab1-4c01-94f9-ff3b6f030bb8
                Fernandez et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 24 July 2008
                : 5 December 2008
                Page count
                Pages: 9
                Categories
                Research Article
                Public Health and Epidemiology
                Public Health and Epidemiology/Epidemiology
                Public Health and Epidemiology/Social and Behavioral Determinants of Health

                Uncategorized
                Uncategorized

                Comments

                Comment on this article