{"doc_desc":{"title":"Swiss Job Exposure Matrix for active Tobacco smoking","idno":"10.16909-dataset-64"},"study_desc":{"title_statement":{"idno":"10.16909-dataset-64","title":"Swiss Job Exposure Matrix for active Tobacco smoking","sub_title":"A quantitative tool providing smoking probability for occupational groups","alternate_title":"SJEM-T","translated_title":"Matrice Suisse Emploi-Exposition pour le Tabagisme Actif"},"authoring_entity":[{"name":"Irina Guseva Canu","affiliation":"Department of Occupational and Environmental Health (DSTE), Unisant\u00e9, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland"}],"oth_id":[{"name":"Carol Clair","affiliation":"Unisant\u00e9, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland","email":"","role":""},{"name":"Aur\u00e9lie Lasserre","affiliation":"University of Lausanne, Lausanne, Switzerland","email":"","role":""},{"name":"Murielle Bochud","affiliation":"Unisant\u00e9, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland","email":"","role":""},{"name":"Natalie von Goetz","affiliation":"","email":"","role":""},{"name":"C\u00e9line Racine","affiliation":"Unisant\u00e9, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland","email":"","role":""},{"name":"Thomas Charreau","affiliation":"Unisant\u00e9, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland","email":"","role":""}],"production_statement":{"producers":[{"name":"J\u00e9sugnon Ez\u00e9chiel DJOHI","abbr":"","affiliation":"Department of Occupational and Environmental Health (DSTE), Unisant\u00e9, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland","role":"Researcher, co-author"},{"name":"Pedro Marques-Vidal","abbr":"","affiliation":"Department of medicine, internal medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland","role":"Researcher, co-author"}],"copyright":"(c) 2026, Unisant\u00e9, University Center for Primary Care and Public Health, Lausanne, Switzerland","funding_agencies":[{"name":"State Secretariat for Education","abbr":"","role":"Financing"},{"name":"INTERCAMBIO","abbr":"","role":"Financing"}],"grant_no":"SEFRI2300491 101137149"},"distribution_statement":{"contact":[{"name":"Irina Guseva Canu","affiliation":"Unisant\u00e9, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland","email":"Irina.guseva-canu@unisante.ch","uri":""}]},"series_statement":{"series_info":"The Swiss Job-Exposure Matrix for Active Smoking (SJEM-T) is a standalone methodological tool derived from the Swiss Health Survey series. While the SJEM-T itself is not part of a repeated survey series, it is based on data from four waves of the ESS (2007, 2012, 2017, 2022), a nationally representative health survey conducted every five years by the Swiss Federal Statistical Office since 1992. The SJEM-T may be updated in the future as new ESS waves become available, potentially establishing a versioned series of occupational smoking exposure matrices. Current version: v1.0.0 (2025), covering the period 2007-2022."},"version_statement":{"version":"Version 1.0.0: Initial validated public release (2007-2022). First public version of SJEM-T providing smoking probability estimates for occupations (ISCO-88) stratified by sex, age, and period, covering 5,737 strata at 4 digits level. Based on ~60,000 workers from Swiss Health Survey (2007, 2012, 2017, 2022). Generated using logistic regression with temporal interactions. Dual validated (internal and external in independent cohorts). Includes probabilities, standard errors, sample sizes, and quality indicators. Suitable for research use requiring indirect smoking adjustment. Future updates planned as new survey waves become available.","version_date":"2025-12-31"},"study_info":{"keywords":[{"keyword":"Job-exposure matrix","vocab":"","uri":""},{"keyword":"Active smoking","vocab":"","uri":""},{"keyword":"Criterion validity","vocab":"","uri":""},{"keyword":"Lifestyle","vocab":"","uri":""},{"keyword":"Exposure assessment","vocab":"","uri":""}],"abstract":"Active smoking remains a major confounding factor in occupational epidemiology studies. When individual smoking data are unavailable or incomplete in registry-based studies or retrospective analyses, indirect adjustment using job-exposure matrices (JEMs) provides an approach to control for smoking confounding based on occupational and demographic characteristics. The Swiss Job-Exposure Matrix for Active Smoking (SJEM-T) is a validated quantitative tool providing smoking probability estimates for specific occupational groups. The SJEM-T was developed using Swiss Health Survey data from four waves (2007, 2012, 2017, 2022), comprising approximately 60,000 workers. Smoking probabilities were estimated using logistic regression with current smoking status as the dependent variable, stratified by occupation (ISCO-88), sex, age group, and year. The matrix provides estimates for 12,160 unique strata. Dual validation (internal and criterion in independent cohorts) was performed.","nation":[{"name":"Switzerland","abbreviation":"CHE"}],"geog_coverage":"National coverage","analysis_unit":"Occupational strata defined by the unique combination of occupation (ISCO-88 codes at 2-, 3-, and 4-digit levels), sex (male\/female), age group (under 30, 30-39, 40-49, \u226550 years), and year","universe":"Workers aged 15 years and older residing in Switzerland","data_kind":"Aggregate data [agg]","notes":"The SJEM-T covers:\nOCCUPATION: occupations at three granularity levels (2-digit: 29 groups; 3-digit: 121 groups; 4-digit: 380 groups), occupation-specific smoking prevalence, temporal trends by occupation, high-exposure occupational groups.\nDEMOGRAPHICS: Sex (male\/female), four age groups (under 30, 30-39, 40-49, \u226550 years), age-sex-specific smoking patterns within occupations.\nTEMPORAL DIMENSION: Four periods (2007, 2012, 2017, 2022), 15-year temporal trends, period-specific estimates.\nSMOKING MEASURES: Current smoking probability estimates (0-1), standard errors, quality indicators, estimation methods (modeled\/imputed).\nVALIDATION: Internal validation metrics (consistency, fidelity, temporal stability), external validation in independent cohorts, sensitivity analyses by sample size."},"method":{"data_collection":{"sampling_procedure":"The SJEM-T is not a primary survey but a secondary analytical product derived from the Swiss Health Survey (ESS).","coll_mode":["The SJEM-T was developed using Swiss Health Survey data from four waves (2007, 2012, 2017, 2022). Raw data are available on request : https:\/\/www.bfs.admin.ch\/bfs\/fr\/home\/statistiques\/sante\/enquetes\/sgb.html"],"sources":[{"name":"","origin":"","characteristics":""}],"cleaning_operations":"The SJEM\u2011T was built by pooling four survey waves (2007, 2012, 2017, 2022), resulting in a dataset of roughly 60,000 workers aged 15 and older with valid ISCO\u201188 occupation codes. At each ISCO\u201188 level, occupational strata with at least ten workers in the pooled data were modeled directly, while those with fewer than ten workers were assigned imputed smoking probabilities derived from higher\u2011level ISCO aggregates. Smoking probabilities were estimated using logistic regression models.\nReliability was assessed through a comprehensive validation strategy that combined internal validation using the Swiss Health Survey with criterion validation in two independent Swiss cohorts: CoLaus (n\u202f=\u202f3,776) and SHeS\u2011pilot (n\u202f=\u202f615).\nAll analyses and modeling were conducted using the open\u2011source software R, version 4.4.2."}},"data_access":{"dataset_availability":{"access_place":"Unisant\u00e9 Data repository","access_place_url":"https:\/\/doi.org\/10.16909\/dataset\/64","status":"This dataset is made available for research purpose under the CC-BY licence : https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},"dataset_use":{"contact":[{"name":"Irina Guseva Canu","affiliation":"Department of Occupational and Environmental Health (DSTE), Unisant\u00e9, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland","email":"irina.guseva-canu@unisante.ch","uri":""},{"name":"Documentation and data unit (UDD)","affiliation":"Unisant\u00e9, University Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland","email":"udd.data@unisante.ch","uri":"https:\/\/www.unisante.ch\/fr\/formation-recherche\/bibliotheque"}],"cit_req":"Guseva Canu, I., Djohi, J.E., Marques-Vidal, P. Swiss Job Exposure Matrix for active Tobacco smoking. Unisant\u00e9, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland. Version 1.0 of the licensed dataset (03\/2026), provided by the Unisant\u00e9 Research Data Repository. DOI:10.16909\/DATASET\/64","conditions":"All data and documentation are available under the CC-BY licence : https:\/\/creativecommons.org\/licenses\/by\/4.0\/. To download the data, please click on Data access and accept the terms and conditions","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey","tags":[{"tag":"Adults"},{"tag":"CC-BY"},{"tag":"Humans"}]}