Literature DB >> 9768451

Gender trends in sick-listing with musculoskeletal symptoms in a Swedish county during a period of rapid increase in sickness absence.

M Leijon1, G Hensing, K Alexanderson.   

Abstract

UNLABELLED: Sickness absence and disability pension due to musculoskeletal diagnoses has increased in Sweden. STUDY
OBJECTIVE: To study gender trends in sickness absence with musculoskeletal diagnoses and its changes in 1985-87.
DESIGN: A prospective population-based study of all new sick-leave spells exceeding seven days in 1985-87. Sickness absence with "all diagnoses" was compared to "all musculoskeletal diagnoses", the latter group was also divided into three sub-groups.
SETTING: The county of Ostergötland, Sweden. PARTICIPANTS: All sick-leave insured aged 16-65; 107,000 women and 100,000 men.
RESULTS: More women than men were sick-listed in "all diagnoses" in 1985. There were corresponding gender differences in sickness absence with musculoskeletal diagnoses except with the diagnosis "low back pain". Sick-listing with musculoskeletal diagnoses increased for both women and men from 1985 to 1987, but the increase was consistently much higher for women, especially for younger women.

Entities:  

Mesh:

Year:  1998        PMID: 9768451     DOI: 10.1177/14034948980260031101

Source DB:  PubMed          Journal:  Scand J Soc Med        ISSN: 0300-8037


  15 in total

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8.  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.

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9.  Do working conditions contribute differently to gender gaps in self-rated health within different occupational classes? Evidence from the Swedish Level of Living Survey.

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10.  Low back pain and widespread pain predict sickness absence among industrial workers.

Authors:  Tone Morken; Trond Riise; Bente Moen; Signe H V Hauge; Solrun Holien; Anne Langedrag; Svein Pedersen; Inger Lise L Saue; Guri M Seljebø; Varughese Thoppil
Journal:  BMC Musculoskelet Disord       Date:  2003-09-04       Impact factor: 2.362

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