Literature DB >> 7843839

Factors affecting long-term sick leave in an industrial population.

A Eyal1, R S Carel, J R Goldsmith.   

Abstract

Factors affecting long-term absenteeism for non-accident-related sickness leave in a large, remotely located factory (Dead Sea Industry, Israel) were evaluated. About 10% (89 persons) of the workers were found to be on sick leave for more than 20 days/year. This group was designated as high absence workers (HAW). Most of the sickness absence were for repeated short-term leaves due to intercurrent diseases, rather than for continuous periods related to a major or single illness. Average cumulative duration of sick leave in this group was 54 days/year. The average number of spells was 11 per year (4.9 days/spell). There were significantly more HAW among skilled (relative risk, R.R. = 1.6) workers or shift workers (R.R. = 1.3), compared to white collar workers. There were significantly fewer HAW among workers 35-49 years of age (7.6%) than among younger (12.5%) or older workers (13.8%). Except for possible hearing loss in one worker, no occupationally related illness was identified. Sixty-six percent of the HAW took many sick leaves, over 20 days during the year following the study year, and 52% of this group took over 20 days in the preceding year (usually for minor diseases or complaints). This pattern of long-term sickness absence indicates that various socio-economic factors determine HAW to a greater extent than immediate occupational risks or health problems.

Entities:  

Mesh:

Year:  1994        PMID: 7843839     DOI: 10.1007/bf00454367

Source DB:  PubMed          Journal:  Int Arch Occup Environ Health        ISSN: 0340-0131            Impact factor:   3.015


  9 in total

1.  Beyond the Steers and Rhodes model of employee attendance.

Authors:  P P Brooke
Journal:  Acad Manage Rev       Date:  1986-04

2.  Organizational equity perceptions, employee job satisfaction, and departmental absence and turnover rates.

Authors:  J E Dittrich; M R Carrell
Journal:  Organ Behav Hum Perform       Date:  1979-08

3.  Sickness absence. Medical, non-medical, or both?

Authors:  K D McKeown
Journal:  Occup Health (Lond)       Date:  1991-04

4.  Clinical factors, psycho-social stressors and sick-leave patterns in a group of Swedish and Greek patients.

Authors:  M Löfvander; D Papastavrou
Journal:  Scand J Soc Med       Date:  1990-06

5.  Sickness absenteeism in an engineering industry--an analysis with special reference to absence for neck and upper extremity symptoms.

Authors:  L Dimberg; A Olafsson; E Stefansson; H Aagaard; A Odén; G B Andersson; C G Hagert; T Hansson
Journal:  Scand J Soc Med       Date:  1989

6.  Monitoring disability absence in an employee group.

Authors:  D C Bews
Journal:  J Occup Med       Date:  1972-12

7.  Social causes of sick absence.

Authors:  P E Enterline
Journal:  Arch Environ Health       Date:  1966-04

8.  Sickness absence at the French National Electric and Gas Company.

Authors:  A Chevalier; D Luce; C Blanc; M Goldberg
Journal:  Br J Ind Med       Date:  1987-02

9.  Sickness absence in 21 industrial plants in Israel (1986-87)--the Cordis Study.

Authors:  J Luz; M S Green
Journal:  Isr J Med Sci       Date:  1992 Aug-Sep
  9 in total
  3 in total

1.  Shiftwork and sickness absence among police officers: the BCOPS study.

Authors:  Desta Fekedulegn; Cecil M Burchfiel; Tara A Hartley; Michael E Andrew; Luenda E Charles; Cathy A Tinney-Zara; John M Violanti
Journal:  Chronobiol Int       Date:  2013-06-28       Impact factor: 2.877

Review 2.  The association between shift work and sick leave: a systematic review.

Authors:  Suzanne L Merkus; Alwin van Drongelen; Kari Anne Holte; Merete Labriola; Thomas Lund; Willem van Mechelen; Allard J van der Beek
Journal:  Occup Environ Med       Date:  2012-07-05       Impact factor: 4.402

3.  Sick-leave track record and other potential predictors of a disability pension. A population based study of 8,218 men and women followed for 16 years.

Authors:  Thorne Wallman; Hans Wedel; Edward Palmer; Annika Rosengren; Saga Johansson; Henry Eriksson; Kurt Svärdsudd
Journal:  BMC Public Health       Date:  2009-04-15       Impact factor: 3.295

  3 in total

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