https://researchdata.se/en/catalogue Search results en The Respiratory Health in Northern Europe (RHINE) is a follow-up study of participants from seven Northern European centres who participated in European Community Respiratory Health Survey (ECRHS) stage I. The target population for the RHINE study were all subjects (n=21,802) from Reykjavik in Iceland, Bergen in Norway, Umeå, Uppsala and Göteborg in Sweden, Aarhus in Denmark and Tartu in Estonia that participated in stage 1 of the ECRHS (response rate 83.7%). The eligible subjects were sent a postal questionnaire in 1999-2001. In total 16,191 (74.3%) subjects answered the questionnaire.This questionnaire includes questions on respiratory symptoms, asthma, rhinitis, bronchitis, smoking, indoor environment, occupation, early life exposure and sleep disorders. Part of this population are part of the ECRHS II The ECRHS II is a follow-up survey of subjects from 14 countries who participated in the clinical phase of ECRHS I (3,4). The study is funded by the European Commission, as well as other sources of funding, as part of their Quality of Life Programme.The participants answered a detailed structured interview about symptoms, exposure to known or suspected risk factors for asthma, occupation and health service utilisation. Blood was taken for measurement of specific IgE to house dust mite, grass, cat and Cladosporium and DNA extraction (not all centres). Spirometry and methacholine challenge was performed. Health related quality of life was assessed by self completed questionnaires: SF-36 and AQLQ. In a sub-sample home visits were made to measure exposure to house dust mites and cat allergens. Throughout the study outdoor exposure to PM2.5, PM10 and NO2 was measured in the centres participating in the study. A follow up of the RHINE and ECRHS populations was conducted in 2010-2012: RHINE III and ECRHS III Purpose: 1. To assess the incidence and remission rate of asthma and allergic rhinitis and to determine risk factors in a representative Nordic population sample. 2. To assess the influence of occupational and home related environmental exposure on the development of asthma and allergic rhinitis in Northern Europe. 3. To investigate the association between the menstrual cycle and asthmatic symptoms in women. 4. To assess the incidence and remission of sleep disturbances and determine risk factors including atopy and asthma. Thu, 23 Apr 2015 06:23:54 GMT https://researchdata.se/en/catalogue/dataset/ext0164-1 https://researchdata.se/en/catalogue/dataset/ext0164-1 Uppsala University Christer Janson The Longitudinal Study of Gender Differences in Health Behaviour and Health among Elderly (GENDER) is a study of unlike-sex twin pairs born between 1906 and 1925 (Gold et al., 2002). Sub-studies: • A survey concerning health and health behaviors was mailed in 1994 with responses from 1210 twins from 605 pairs where both responded. Mean age at baseline assessment was 74.43 years (SD 4.28) and all were Caucasians. • A baseline in-person evaluation of 498 twins from 249 pairs between 70 and 80 years of age was undertaken between 1995 and 1997, and included an interview and tests of cognitive and physical functioning. • Two additional in-person waves followed at four-year intervals (1999-2001 and 2003-2005). • Finally, a second survey was mailed in 2007 to all living twins who participated in the first mailed survey. The main interest of the study was gender differences in health and health behaviors in old age. Questions about subjective health, use of healthcare, and behaviors and attitudes related to health, perceived ADL capacity, personality and social networks, formal and informal care etc. are available. Measures of grip-strength, vital capacity, blood pressure, a number of exercises related to muscle strength and balance, and cognitive functions are available. Blood values and genotyping are also available. Fri, 18 Mar 2022 12:54:52 GMT https://researchdata.se/en/catalogue/dataset/2022-46-1 https://researchdata.se/en/catalogue/dataset/2022-46-1 Jönköping University Deborah Finkel The Swedish Longitudinal Occupational Survey of Health (SLOSH) is a longitudinal study initiated in 2006 by the Stress Research Institute at Stockholm University. The study aims to provide a basis for more effective occupational health efforts and to increase the understanding of work-related ill health in Sweden. With its longitudinal design, following the same individuals with similar questions over time, the study allows for analyses of causal sequences in presumed chains of events. On behalf of the Stress Research Institute, Statistics Sweden (SCB) sends out surveys every two years. Registry data on, among other things, sick leave and hospital admissions are linked to the responses both retrospectively (back in time) and prospectively (forward in time). SLOSH is based on the 2003-2019 Swedish Work Environment Surveys (AMU). In March 2006, a follow-up was conducted with the 9,200 people who responded to AMU in 2003, by sending out questionnaires by mail. Since then, data collections have been carried out every two years up until 2024, with an additional data collection in 2023. The questionnaire sent to participants is available in two versions: one for those who are employed and one for those who are not employed. The questionnaire for employed individuals includes questions on work organization, work environment, lifestyle, social situations outside of work, and health. The questionnaire for non-employed individuals is similar to the one for employed individuals but, instead of questions about work, it includes questions relevant to retirees, fully disability-pensioned individuals, the unemployed, students, long-term sick leave recipients, parents on parental leave, homemakers, and others who have temporarily or permanently stopped working. Starting from the 2022 data collection, web-based surveys were prioritized over paper surveys. Purpose: The purpose of SLOSH is to investigate longitudinal relationships between work organization, the work environment (especially psychosocial factors), workforce participation, health, and well-being, taking into account social conditions, individual differences, health behaviors and coping strategies, the interaction between work and private life, sleep, aging, and economic fluctuations. Thu, 18 Jun 2015 09:35:13 GMT https://researchdata.se/en/catalogue/dataset/ext0098-1 https://researchdata.se/en/catalogue/dataset/ext0098-1 Stockholm University Hugo Westerlund This study aimed to contribute to the possible reduced spread of Campylobacter in poultry, humans, and the environment in central Ethiopia. This was done by identifying the key risk factors, including poor farm management, biosecurity gaps and inadequate hygiene practices and farm worker awareness using a One Health approach to highlight areas where interventions can reduce transmission. The One Health concept emphasizes the interconnectedness of human, animal, and environmental health. This study aims to address health risks holistically. Campylobacter isolated from poultry, humans and the environment were identified and subtyped. Additionally, the study evaluated the antimicrobial resistance (AMR) profiles of the identified Campylobacter species. Antimicrobial resistance of the isolated Campylobacter spp. was analyzed against nine different antibiotics from five antibiotic classes: quinolones (nalidixic acid, ciprofloxacin, and norfloxacin), macrolides (erythromycin), aminoglycosides (streptomycin and gentamicin), phenicols (chloramphenicol), and tetracyclines (tetracycline and oxytetracycline). The data file contains 46 rows (Campylobacter spp.) and 15 columns, with the data explained in the documentation file 'Readme_AMR_Result.' Poultry farm workers were interviewed using a structured questionnaire to gather information about farm practices related to Campylobacter risk factors, consumption habits, hygiene practices, and awareness of Campylobacter as a zoonosis and the One Health concept. The data file contains 122 rows (respondents) and 37 columns (survey questions), along with three columns detailing the microbiological results for each isolate. The data is explained in the documentation file 'Readme_questionnaire_results. Tue, 11 Mar 2025 15:00:20 GMT https://researchdata.se/en/catalogue/dataset/2025-54 https://researchdata.se/en/catalogue/dataset/2025-54 Swedish University of Agricultural Sciences Fikre Zeru Haileeyesus Adamu Yohannes Hagos Woldearegay Tesfaye Sisay Tessema Ingrid Hansson Sofia Boqvist SHARE - Survey of Health, Ageing and Retirement in Europe - is a multidisciplinary and cross-national panel database. It provides micro data on health, socio-economic status and social and family networks of thousands individuals aged 50 or over and their (younger) partners. The Survey of Health, Ageing and Retirement in Europe seeks to analyse the process of population ageing in depth. Copyright © Survey of Health, Ageing and Retirement in Europe (SHARE) 2012 Cite as: Börsch-Supan, A. (2022). Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 2. Release version: 8.0.0. SHARE-ERIC. Data set. DOI: 10.6103/SHARE.w2.800 Wed, 03 Nov 2021 14:11:14 GMT https://researchdata.se/en/catalogue/dataset/ext0148-1 https://researchdata.se/en/catalogue/dataset/ext0148-1 SHARE ERIC Axel Börsch-Supan SHARE - Survey of Health, Ageing and Retirement in Europe - is a multidisciplinary and cross-national panel database. It provides micro data on health, socio-economic status and social and family networks of thousands individuals aged 50 or over and their (younger) partners. The Survey of Health, Ageing and Retirement in Europe seeks to analyse the process of population ageing in depth. Copyright © Survey of Health, Ageing and Retirement in Europe (SHARE) 2012 When using data from this dataset, please cite the dataset as follows: Börsch-Supan, A. (2022). Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 3 – SHARELIFE. Release version: 8.0.0. SHARE-ERIC. Data set. DOI: 10.6103/SHARE.w3.800 Please also cite the following publications in addition to the SHARE acknowledgement: - Börsch-Supan, A., M. Brandt, K. Hank and M. Schröder (Eds). (2011). The individual and the welfare state. Life histories in Europe. Heidelberg: Springer. - Schröder, M. (2011). Retrospective data collection in the Survey of Health, Ageing and Retirement in Europe. SHARELIFE methodology. Mannheim: Mannheim Research Institute for the Economics of Aging (MEA). - Börsch-Supan, A., Brandt, M., Hunkler, C., Kneip, T., Korbmacher, J., Malter, F., Schaan, B., Stuck, S., Zuber, S. (2013). Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology DOI: 10.1093/ije/dyt088. Wed, 03 Nov 2021 14:12:29 GMT https://researchdata.se/en/catalogue/dataset/ext0149-1 https://researchdata.se/en/catalogue/dataset/ext0149-1 SHARE ERIC Axel Börsch-Supan SHARE - Survey of Health, Ageing and Retirement in Europe - is a multidisciplinary and cross-national panel database. It provides micro data on health, socio-economic status and social and family networks of thousands individuals aged 50 or over and their (younger) partners. The Survey of Health, Ageing and Retirement in Europe seeks to analyse the process of population ageing in depth. Cite as: Börsch-Supan, A. (2022). Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 1. Release version: 8.0.0. SHARE-ERIC. Data set. DOI: 10.6103/SHARE.w1.800 Wed, 03 Nov 2021 14:09:59 GMT https://researchdata.se/en/catalogue/dataset/ext0147-1 https://researchdata.se/en/catalogue/dataset/ext0147-1 SHARE ERIC Axel Börsch-Supan SHARE - Survey of Health, Ageing and Retirement in Europe - is a multidisciplinary and cross-national panel database. It provides micro data on health, socio-economic status and social and family networks of thousands individuals aged 50 or over and their (younger) partners. The Survey of Health, Ageing and Retirement in Europe seeks to analyse the process of population ageing in depth. Copyright © Survey of Health, Ageing and Retirement in Europe (SHARE) 2012 When using data from this dataset, please cite the dataset as follows: Börsch-Supan, A. (2022). Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 4. Release version: 8.0.0. SHARE-ERIC. Data set. DOI: 10.6103/SHARE.w4.800 Please also cite the following publications in addition to the SHARE acknowledgement: - Börsch-Supan A., M. Brandt , H. Litwin and G. Weber (Eds). (2013). Active ageing and solidarity between generations in Europe: First results from SHARE after the economic crisis. Berlin: De Gruyter. - Malter, F., Börsch-Supan, A.(Eds.) (2013). SHARE Wave 4: Innovations & Methodology. Munich: MEA, Max Planck Institute for Social Law and Social Policy. - Börsch-Supan, A., Brandt, M., Hunkler, C., Kneip, T., Korbmacher, J., Malter, F., Schaan, B., Stuck, S., Zuber, S. (2013). Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology DOI: 10.1093/ije/dyt088. Wed, 03 Nov 2021 14:13:16 GMT https://researchdata.se/en/catalogue/dataset/ext0150-1 https://researchdata.se/en/catalogue/dataset/ext0150-1 SHARE ERIC Axel Börsch-Supan SHARE - Survey of Health, Ageing and Retirement in Europe - is a multidisciplinary and cross-national panel database. It provides micro data on health, socio-economic status and social and family networks of thousands individuals aged 50 or over and their (younger) partners. The Survey of Health, Ageing and Retirement in Europe seeks to analyse the process of population ageing in depth. Copyright © Survey of Health, Ageing and Retirement in Europe (SHARE) 2015 When using data from this dataset, please cite the dataset as follows: Börsch-Supan, A. (2022). Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 5. Release version: 8.0.0. SHARE-ERIC. Data set. DOI: 10.6103/SHARE.w5.800 Please also cite the following publications in addition to theSHARE acknowledgement: Börsch-Supan, A., T. Kneip, H. Litwin, M. Myck, G. Weber (Eds.) (2015). Ageing in Europe - Supporting Policies for an Inclusive Society. Berlin: De Gruyter. Malter, F. and A. Börsch-Supan (Eds.) (2015). SHARE Wave 5: Innovations & Methodology. Munich: MEA, Max Planck Institute for Social Law and Social Policy. Börsch-Supan, A., Brandt, M., Hunkler, C., Kneip, T., Korbmacher, J., Malter, F., Schaan, B., Stuck, S. and Zuber, S. (2013). Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology DOI: 10.1093/ije/dyt088. Wed, 03 Nov 2021 14:14:03 GMT https://researchdata.se/en/catalogue/dataset/ext0201-1 https://researchdata.se/en/catalogue/dataset/ext0201-1 SHARE ERIC Axel Börsch-Supan The Survey of Health, Ageing and Retirement in Europe (SHARE), is a longitudinal micro-data infrastructure created in response to a communication by the European Commission (2000) to the Council and the European Parliament, which identified population ageing and its social and economic challenges to growth and prosperity to be among the most pressing challenges of the 21st century in Europe. SHARE has also become one of the most prestigious social science infrastructures and was in 2011 the first to be appointed a European Research Infrastructure Consortium (ERIC) by the European Council.The overarching objective of SHARE is to better understand the interactions between bio-medical factors, the socio-economic environment and policy interventions in the ageing European populations. SHARE aims to achieve this objective by providing a research infrastructure for fundamental science as well as a tool for policy evaluation and design. Initiated in 2002, SHARE is scheduled to launch, all in all, 10 data collection waves. At present eight waves have been fulfilled and seven waves are available to the research community. When using data from this dataset, please cite the dataset as follows: Börsch-Supan, A. (2022). Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 7. Release version: 8.0.0. SHARE-ERIC. Data set. DOI: 10.6103/SHARE.w7.800 Please also cite the following publications in addition to theSHARE acknowledgement: Bergmann, M., A. Scherpenzeel and A. Börsch-Supan (Eds.) (2019). SHARE Wave 7 Methodology: Panel Innovations and Life Histories. Munich: Munich Center for the Economics of Aging (MEA). Börsch-Supan, A., Brandt, M., Hunkler, C., Kneip, T., Korbmacher, J., Malter, F., Schaan, B., Stuck, S. and Zuber, S. (2013). Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology DOI: 10.1093/ije/dyt088. Tue, 22 Sep 2020 09:55:52 GMT https://researchdata.se/en/catalogue/dataset/2020-105-1 https://researchdata.se/en/catalogue/dataset/2020-105-1 SHARE ERIC Axel Börsch-Supan