{"doc_desc":{"title":"Population-based Night Work Exposure Assessment Using Swiss Labour Force Survey Data (1991\u20132024)","idno":"10.16909-dataset-70"},"study_desc":{"title_statement":{"idno":"10.16909-dataset-70","title":"Population-based Night Work Exposure Assessment Using Swiss Labour Force Survey Data (1991\u20132024)","alternate_title":"NW-JEM"},"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":"C\u00e9line Racine","affiliation":"Unisant\u00e9, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland","email":"","role":""},{"name":"Carol Clair","affiliation":"Department of Ambulatory Care (DDP), Unisant\u00e9, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland","email":"","role":""},{"name":"Aur\u00e9lie Lasserre","affiliation":"Lausanne University Hospital and University of 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, Switzerland","role":"Researcher, co-author"}],"copyright":"(c) 2026, Unisant\u00e9, University Center for Primary Care and Public Health, Lausanne, Switzerland","funding_agencies":[{"name":"Swiss State Secretariat  for Economic Affairs","abbr":"SECO","role":""},{"name":"EU Horizon Health project INTERCAMBIO","abbr":"INTERCAMBIO","role":""},{"name":"State Secretariat for Education, Research and Innovation","abbr":"SERI","role":""}],"grant_no":"0947002262 101137149 SEFRI2300491"},"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 NW\u2011JEM provides standardized, population-based estimates of night work exposure, enabling retrospective exposure assignment and facilitating research on the health effects of night work in the absence of direct individual measurements."},"version_statement":{"version":"Version 1.0: Initial validated public release Job-Exposure Matrix for night work (NW\u2011JEM), based on Swiss Labour Force Survey data (1991\u20132024). Includes modelled exposure probabilities (regular, occasional, none), derived Night Work Exposure Index (NWEI), and estimates at ISCO 2-digit, 3-digit, and 4-digit levels.","version_date":"2026-05-18"},"study_info":{"keywords":[{"keyword":"Night work","vocab":"","uri":""},{"keyword":"Job exposure matrix","vocab":"","uri":""},{"keyword":"Occupational epidemiology","vocab":"","uri":""},{"keyword":"Exposure assessment","vocab":"","uri":""},{"keyword":"ISCO-88","vocab":"","uri":""}],"abstract":"This project aims to develop and validate a Job-Exposure Matrix for night work (NW\u2011JEM) to support exposure assessment in epidemiological and occupational health research. The JEM is based on data from the Swiss Labour Force Survey covering the period 1991\u20132024, comprising approximately 1.3 million observations. Night work exposure was defined in three categories (regular, occasional, none) and modelled using ordinal logistic regression. Exposure probabilities were estimated for strata defined by calendar year, sex, age group, and occupation (ISCO\u201188 classification). \nA continuous exposure metric, the Night Work Exposure Index (NWEI), was computed as a weighted combination of predicted probabilities of exposure. \nCriterion validity was assessed using external data from the CoLaus|PsyCoLaus cohort. Agreement between JEM-derived and empirical exposure indices at the stratum level was quantified using Spearman\u2019s correlation and intraclass correlation coefficients (ICC), showing moderate to good agreement, particularly at finer occupational levels. At the individual level, the binary classification performance of the JEM was evaluated using metrics including sensitivity, specificity, predictive values, Cohen\u2019s \u03ba, and AUC. Results indicate good discriminative ability, strong capacity to rule out exposure, and consistent performance across occupational resolutions.","coll_dates":[{"start":"1991\/01","end":"2024\/12","cycle":""}],"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 (\u226439 years; \u226540 years), and year","data_kind":"Aggregate data [agg]","notes":"The NW-JEM covers: OCCUPATION: occupations at three granularity levels (2-digit: 32 groups; 3-digit: 129 groups; 4-digit: 419 groups), occupation-specific Night Work Exposure Index, temporal trends by occupation, high-exposure occupational groups. DEMOGRAPHIC VARIABLES: Individual-level characteristics used for stratification and modelling, including sex (male, female), age group (\u226439 years; \u226540 years), and calendar year (1991\u20132024)."},"method":{"data_collection":{"sampling_procedure":"The NW-JEM is not a primary survey but a secondary analytical product derived from the Swiss Labour Force Survey.","coll_mode":["The JEM was developed using data from the Swiss Labour Force Survey (SLFS\/ESPA) collected between 1991 and 2024. Raw data are available upon request from the Swiss Federal Statistical Office (FSO)."],"sources":[{"name":"","origin":"","characteristics":""}],"cleaning_operations":"Night work exposure estimates were derived from analyses of the Swiss Labour Force Survey data. Data cleaning, harmonization across survey years, statistical analyses, and modeling procedures were conducted using R (version 4.4.2)."}},"data_access":{"dataset_availability":{"access_place":"Unisant\u00e9 Data repository","access_place_url":"https:\/\/doi.org\/10.16909\/dataset\/70","status":"This dataset is made available on request for research purpose only"},"dataset_use":{"conf_dec":[{"txt":"","required":"yes","form_no":"","form_uri":""}],"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, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland","email":"udd.data@unisante.ch","uri":""}],"cit_req":"Guseva Canu, I., Djohi, J.E., Marques-Vidal, P. Population-based Night Work Exposure Assessment Using Swiss Labour Force Survey Data (1991\u20132024). Unisant\u00e9, Center for Primary Care and Public Health & University of Lausanne, Lausanne, Switzerland. Version 1.0 of the licensed dataset (08\/2026), provided by the Unisant\u00e9 Research Data Repository. DOI:10.16909\/DATASET\/70","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":"Humans"}]}