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 |
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Format: | Artikel |
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. |
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ISSN: | 0300-5771 1464-3685 1464-3685 |
DOI: | 10.1093/ije/dyx260 |