Literature DB >> 21654437

Reduction in personnel and long-term sickness absence for psychiatric disorders among employees in Swedish county councils: an ecological population-based study.

Anna Bryngelson1, Ellenor Mittendorfer-Rutz, Johan Fritzell, Marie Asberg, Ake Nygren.   

Abstract

OBJECTIVE: The aim was to examine whether staff downsizing was related to long-term psychiatric sickness absence.
METHODS: We used aggregate data on sickness absence from AFA insurance, as well as information on staff numbers from the Swedish Association of Local Authorities and Regions. Bootstrap regression analyses were used to elucidate whether there was a relationship between reduction in personnel and changes in sickness rates.
RESULTS: A staff reduction of 1% increased the sickness rate, on average, by 9%. The associations were similar in men and women as well as in different age groups, although statistical significance was only reached in the groups of women and middle-aged employees.
CONCLUSIONS: Our findings suggest that downsizing may be related to subsequent increases in psychiatric sickness absence. The association appeared after a time-delay of several years.

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Year:  2011        PMID: 21654437     DOI: 10.1097/JOM.0b013e31821aa706

Source DB:  PubMed          Journal:  J Occup Environ Med        ISSN: 1076-2752            Impact factor:   2.162


  2 in total

1.  Sickness absence and disability pension before and after first childbirth and in nulliparous women: longitudinal analyses of three cohorts in Sweden.

Authors:  Charlotte Björkenstam; Cecilia Orellana; Krisztina D László; Pia Svedberg; Margaretha Voss; Ulrik Lidwall; Petra Lindfors; Kristina Alexanderson
Journal:  BMJ Open       Date:  2019-09-08       Impact factor: 2.692

2.  Economic Stress at Work: Its Impact over Absenteeism and Innovation.

Authors:  Martin Sanchez-Gomez; Gabriele Giorgi; Georgia Libera Finstad; Federico Alessio; Antonio Ariza-Montes; Giulio Arcangeli; Nicola Mucci
Journal:  Int J Environ Res Public Health       Date:  2021-05-15       Impact factor: 3.390

  2 in total

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