Thomas Clausen1, Hermann Burr, Vilhelm Borg. 1. National Research Centre for the Working Environment, Lersø Parkalle 105, 2100, Copenhagen, Denmark, tcl@nrcwe.dk.
Abstract
PURPOSE: To investigate whether psychosocial job demands (work pace and quantitative demands) and job resources (influence at work and quality of leadership) predict long-term sickness absence (LTSA) for more than three consecutive weeks in four occupational groups. METHODS: Survey data pooling 39,408 respondents were fitted to a national register containing information on payments of sickness absence compensation. Using multi-adjusted Cox regression, respondents were followed for an 18-month follow-up period to assess risk of LTSA. RESULTS: In the entire study population, low and medium levels of influence at work and low quality of leadership predicted a significantly increased risk of LTSA, whereas medium levels of quantitative demands predicted a significantly reduced risk of LTSA. For employees working with clients and for office workers, low and medium influence at work associated with a significantly increased risk of LTSA. For employees working with clients, low quality of leadership predicted a significantly increased risk of LTSA. For manual workers, low influence at work predicted a significantly increased risk of LTSA and medium quantitative demands were associated with a significantly reduced risk of LTSA. For employees working with customers, medium quantitative demands predicted a significantly reduced risk of LTSA. Finally, in predicting LTSA, we found significant interaction effects between job demands and job resources. CONCLUSIONS: The study indicates that a lack of job resources--particularly influence at work--are more important predictors of LTSA than high job demands.
PURPOSE: To investigate whether psychosocial job demands (work pace and quantitative demands) and job resources (influence at work and quality of leadership) predict long-term sickness absence (LTSA) for more than three consecutive weeks in four occupational groups. METHODS: Survey data pooling 39,408 respondents were fitted to a national register containing information on payments of sickness absence compensation. Using multi-adjusted Cox regression, respondents were followed for an 18-month follow-up period to assess risk of LTSA. RESULTS: In the entire study population, low and medium levels of influence at work and low quality of leadership predicted a significantly increased risk of LTSA, whereas medium levels of quantitative demands predicted a significantly reduced risk of LTSA. For employees working with clients and for office workers, low and medium influence at work associated with a significantly increased risk of LTSA. For employees working with clients, low quality of leadership predicted a significantly increased risk of LTSA. For manual workers, low influence at work predicted a significantly increased risk of LTSA and medium quantitative demands were associated with a significantly reduced risk of LTSA. For employees working with customers, medium quantitative demands predicted a significantly reduced risk of LTSA. Finally, in predicting LTSA, we found significant interaction effects between job demands and job resources. CONCLUSIONS: The study indicates that a lack of job resources--particularly influence at work--are more important predictors of LTSA than high job demands.
Authors: Ida E H Madsen; Hermann Burr; Finn Diderichsen; Jan H Pejtersen; Marianne Borritz; Jakob B Bjorner; Reiner Rugulies Journal: Am J Epidemiol Date: 2011-10-29 Impact factor: 4.897
Authors: Suzan J W Robroek; Merel Schuring; Simone Croezen; Mikael Stattin; Alex Burdorf Journal: Scand J Work Environ Health Date: 2012-09-03 Impact factor: 5.024
Authors: Marianne Borritz; Reiner Rugulies; Jakob B Bjorner; Ebbe Villadsen; Ole A Mikkelsen; Tage S Kristensen Journal: Scand J Public Health Date: 2006 Impact factor: 3.021
Authors: Thomas Lund; Mika Kivimäki; Merete Labriola; Ebbe Villadsen; Karl Bang Christensen Journal: Occup Environ Med Date: 2007-07-11 Impact factor: 4.402
Authors: Jenny Head; Mika Kivimäki; Pekka Martikainen; Jussi Vahtera; Jane E Ferrie; Michael G Marmot Journal: J Epidemiol Community Health Date: 2006-01 Impact factor: 3.710
Authors: Mika Kivimäki; Solja T Nyberg; G David Batty; Eleonor I Fransson; Katriina Heikkilä; Lars Alfredsson; Jakob B Bjorner; Marianne Borritz; Hermann Burr; Annalisa Casini; Els Clays; Dirk De Bacquer; Nico Dragano; Jane E Ferrie; Goedele A Geuskens; Marcel Goldberg; Mark Hamer; Wendela E Hooftman; Irene L Houtman; Matti Joensuu; Markus Jokela; France Kittel; Anders Knutsson; Markku Koskenvuo; Aki Koskinen; Anne Kouvonen; Meena Kumari; Ida E H Madsen; Michael G Marmot; Martin L Nielsen; Maria Nordin; Tuula Oksanen; Jaana Pentti; Reiner Rugulies; Paula Salo; Johannes Siegrist; Archana Singh-Manoux; Sakari B Suominen; Ari Väänänen; Jussi Vahtera; Marianna Virtanen; Peter J M Westerholm; Hugo Westerlund; Marie Zins; Andrew Steptoe; Töres Theorell Journal: Lancet Date: 2012-09-14 Impact factor: 79.321
Authors: Corné A M Roelen; Marieke F A van Hoffen; Siri Waage; Wilmar B Schaufeli; Jos W R Twisk; Bjørn Bjorvatn; Bente E Moen; Ståle Pallesen Journal: Int Arch Occup Environ Health Date: 2017-10-14 Impact factor: 3.015
Authors: Minna Pihlajamäki; Heikki Arola; Heini Ahveninen; Jyrki Ollikainen; Mikko Korhonen; Tapio Nummi; Jukka Uitti; Simo Taimela Journal: Prev Med Rep Date: 2020-04-22
Authors: Sannie Vester Thorsen; Mari-Ann Flyvholm; Jacob Pedersen; Ute Bültmann; Lars L Andersen; Jakob Bue Bjorner Journal: Occup Environ Med Date: 2020-09-09 Impact factor: 4.402
Authors: Emil Sundstrup; Åse Marie Hansen; Erik Lykke Mortensen; Otto Melchior Poulsen; Thomas Clausen; Reiner Rugulies; Anne Møller; Lars L Andersen Journal: BMC Public Health Date: 2018-01-17 Impact factor: 3.295
Authors: Annette Notenbomer; Corné Roelen; Johan Groothoff; Willem van Rhenen; Ute Bültmann Journal: J Med Internet Res Date: 2018-10-23 Impact factor: 5.428
Authors: Minna Pihlajamäki; Jukka Uitti; Heikki Arola; Jyrki Ollikainen; Mikko Korhonen; Tapio Nummi; Simo Taimela Journal: BMJ Open Date: 2019-10-31 Impact factor: 2.692