Cohort Profile: The Swedish Longitudinal Occupational Survey of Health (SLOSH)

Cohort Profile in a nutshell The Swedish Longitudinal Occupational Survey of Health (SLOSH) is a longitudinal cohort study with repeated follow-ups aiming to investigate longitudinal associations between work organization, work environment, labour force participation, health and well-being, taking s...

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Veröffentlicht in:International journal of epidemiology 2018-06, Vol.47 (3), p.691-692i
Hauptverfasser: Magnusson Hanson, Linda L, Leineweber, Constanze, Persson, Viktor, Hyde, Martin, Theorell, Töres, Westerlund, Hugo
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Sprache:eng
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Zusammenfassung:Cohort Profile in a nutshell The Swedish Longitudinal Occupational Survey of Health (SLOSH) is a longitudinal cohort study with repeated follow-ups aiming to investigate longitudinal associations between work organization, work environment, labour force participation, health and well-being, taking social conditions, individual differences, health behaviours, coping strategies, work-private life interaction, sleep and ageing into account. In SLOSH, several nationally representative subsamples of working individuals, 16-64 years of age at inclusion, responding to baseline questionnaires, have been followed up biennially with more comprehensive self-report questionnaires. Since the start in 2006, six waves of follow-up data have been collected with successively increasing numbers of men and women invited. In total 40 877 individuals have been invited, and 28 672 (70%) have responded to follow-up questionnaires at least once. Further waves of follow-up are planned in 2018 and every second year in the foreseeable future. The follow-up questionnaires include a wide range of measures on work or non-work situation/leaving the labour force temporarily or permanently, social situation, health and well-being. The questionnaire data are also linked to register data on demographics, employment, enterprises and establishments and health. A strategy for data access has been developed, striving to satisfy legal requirements and ethical principles. Requests for data for specific research questions or collaboration are welcome via email: data@slosh.se. For more information, visit www.slosh.se.
ISSN:0300-5771
1464-3685
1464-3685
DOI:10.1093/ije/dyx260