Cohort profile : The lidA study - a German cohort study on work, age, health and work participation

Faculty/Professorship: Survey Methodology  
Author(s): Hasselhorn, Hans Martin; Peter, Richard; Rauch, Angela; Schröder, Helmut; Swart, Enno; Bender, Stefan; Prel, Jean-Baptist du; Ebener, Melanie; March, Stefanie; Trappmann, Mark ; Steinwede, Jacob; Müller, Bernd Hans
Title of the Journal: International Journal of Epidemiology : official journal of the International Epidemiological Association, IEA
ISSN: 0300-5771
Publisher Information: Oxford : Oxford Univ. Pres
Year of publication: 2014
Volume: 43
Issue: Online before print March 24, 2014
Pages: 14
Language(s): English
The lidA Cohort Study (German Cohort Study on Work, Age, Health and Work Participation) was set up to investigate and follow the effects of work and work context on the physical and psychological health of the ageing workforce in Germany and subsequently on work participation. Cohort participants are initially employed people subject to social security contributions and born in either 1959 (n = 2909) or 1965 (n = 3676). They were personally interviewed in their homes in 2011 and will be visited every 3 years. Data collection comprises socio-demographic data, work and private exposures, work ability, work and work participation attitudes, health, health-related behaviour, personality and attitudinal indicators. Employment biographies are assessed using register data. Subjective health reports and physical strength measures are complemented by health insurance claims data, where permission was given. A conceptual framework has been developed for the lidA Cohort Study within which three confirmatory sub-models assess the interdependencies of work and health considering age, gender and socioeconomic status. The first set of the data will be available to the scientific community by 2015. Access will be given by the Research Data Centre of the German Federal Employment Agency at the Institute for Employment Research (
Keywords: older workers, working conditions, health, retirement, cohort
Type: Article
Year of publication: 26. May 2014