Literature DB >> 7892617

Sick-leave due to minor psychiatric morbidity: role of sex integration.

G Hensing1, K Alexanderson, I Akerlind, P Bjurulf.   

Abstract

During the years 1985-1987 all sick-leave spells exceeding 7 days, together with a number of demographic variables, were registered in a Swedish county. Using this register, the 3,100 employed persons with at least one sick-leave per year due to minor psychiatric morbidity were analysed with regard to age, occupation and sex. The annual cumulative incidence was 1.7% of the employed population. In 1985 the female incidence was 2.1% and the male incidence was 1.3%. Incidence was highest in the middle-aged. The mean number of absence days per sick-listed person was 73 in 1985. For women, the corresponding figure was 63 and for men, 82. Industrial occupations had the highest incidence and with few exceptions, women had a higher incidence than men in each occupation. Occupations were categorized into five groups according to the number of women and men employed. Women in extremely male-dominated occupations had the highest incidence of all groups, 4.6%. Men in extremely female-dominated occupations had the highest incidence of all men, 2.9%. Occupations with an equal sex distribution had the lowest sick-leave incidence, 1.2%. Further studies on the influence of sex integration on sickness absence need to be done.

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Year:  1995        PMID: 7892617     DOI: 10.1007/bf00784433

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


  20 in total

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  12 in total

1.  Work factors as predictors of sickness absence: a three month prospective study of nurses' aides.

Authors:  W Eriksen; D Bruusgaard; S Knardahl
Journal:  Occup Environ Med       Date:  2003-04       Impact factor: 4.402

2.  Work factors as predictors of sickness absence attributed to airway infections; a three month prospective study of nurses' aides.

Authors:  W Eriksen; D Bruusgaard; S Knardahl
Journal:  Occup Environ Med       Date:  2004-01       Impact factor: 4.402

3.  Diagnosis-specific sick leave as a long-term predictor of disability pension: a 13-year follow-up of the GAZEL cohort study.

Authors:  K Alexanderson; M Kivimäki; J E Ferrie; H Westerlund; J Vahtera; A Singh-Manoux; M Melchior; M Zins; M Goldberg; J Head
Journal:  J Epidemiol Community Health       Date:  2011-10-14       Impact factor: 3.710

Review 4.  [Work disability from mental disorders].

Authors:  M Linden; C Weidner
Journal:  Nervenarzt       Date:  2005-11       Impact factor: 1.214

5.  Prevalence and risk factors of psychiatric disorders in an industrial population in India.

Authors:  Srihari Dutta; Nilamadhab Kar; Jagadisha Thirthalli; Sreekumaran Nair
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6.  The association between sex segregation, working conditions, and sickness absence among employed women.

Authors:  G Hensing; K Alexanderson
Journal:  Occup Environ Med       Date:  2004-02       Impact factor: 4.402

7.  Effort-reward imbalance, "locked in" at work, and long-term sick leave.

Authors:  Göran Fahlén; Hans Goine; Curt Edlund; Britt Arrelöv; Anders Knutsson; Richard Peter
Journal:  Int Arch Occup Environ Health       Date:  2008-04-17       Impact factor: 3.015

8.  Increase in sickness absence with psychiatric diagnosis in Norway: a general population-based epidemiologic study of age, gender and regional distribution.

Authors:  Gunnel Hensing; Lena Andersson; Sören Brage
Journal:  BMC Med       Date:  2006-08-22       Impact factor: 8.775

9.  Cumulative incidence of sickness absence and disease burden among the newly sick-listed, a cross-sectional population-based study.

Authors:  Brynja Ármannsdóttir; Ann-Charlotte Mårdby; Inger Haukenes; Gunnel Hensing
Journal:  BMC Public Health       Date:  2013-04-10       Impact factor: 3.295

10.  Long Absence from Work Due to Sickness among Psychiatric Outpatients in Japan, with Reference to a Recent Trend for Perfectionism.

Authors:  K Nakamura; H Seto; S Okino; K Ono; M Ogasawara; Y Shibamoto; T Agata; K Nakayama
Journal:  Iran J Public Health       Date:  2012-01-31       Impact factor: 1.429

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