Literature DB >> 19535405

Disability pensioning: the gender divide can be explained by occupation, income, mental distress and health.

Bjørgulf Claussen1, Odd Steffen Dalgard.   

Abstract

BACKGROUND: We aimed to test the hypothesis that gender divide in disability pensioning is attributable to differences in health, mental distress, occupation, and income.
METHODS: In a health survey between 2000 and 2001, a total of 11,072 (48.7%) of all Oslo inhabitants aged 40, 45, 59, and 60 years participated. Survey data were linked to data from the National Insurance Administration and Statistics Norway for 10,421 of the participants, and 9,195 of those were eligible to receive disability pension at the end of 2000. Occupation, general health, and mental distress were self-reported, while income was obtained from official statistics.
RESULTS: Approximately 5% of the eligible sample received a disability pension during the four years following the health survey. The age-adjusted odds of receiving disability pension for women was greater (odds ratio = 1.41) than for men. Self-reported health significantly contributed to the risk of receiving a pension, and seemed to reduce the imbalance in disability rates between the genders, as did adjusting for level of mental distress. Further adjustment for occupation and working conditions reduced the gender divide to an insignificant level, and the inclusion of income level (income three years prior to pensioning) completely eliminated any gender difference in risk of receiving a pension.
CONCLUSIONS: Gender differences in disability pensioning in Oslo are attributable to women's poorer self-reported health, greater levels of mental distress, lower wages, and more unfavourable working conditions such as job strain and less control over work.

Entities:  

Mesh:

Year:  2009        PMID: 19535405     DOI: 10.1177/1403494809105795

Source DB:  PubMed          Journal:  Scand J Public Health        ISSN: 1403-4948            Impact factor:   3.021


  14 in total

1.  Can high psychological job demands, low decision latitude, and high job strain predict disability pensions? A 12-year follow-up of middle-aged Swedish workers.

Authors:  Catarina Canivet; BongKyoo Choi; Robert Karasek; Mahnaz Moghaddassi; Carin Staland-Nyman; Per-Olof Östergren
Journal:  Int Arch Occup Environ Health       Date:  2012-04-05       Impact factor: 3.015

2.  Predicting disability pension - depression as hazard: a 10 year population-based cohort study in Norway.

Authors:  Eva Lassemo; Inger Sandanger; Jan F Nygård; Knut W Sørgaard
Journal:  Int J Methods Psychiatr Res       Date:  2015-06-22       Impact factor: 4.035

3.  Prognostic factors for return to work, sickness benefits, and transitions between these states: a 4-year follow-up after work-related rehabilitation.

Authors:  Irene Oyeflaten; Stein Atle Lie; Camilla M Ihlebæk; Hege R Eriksen
Journal:  J Occup Rehabil       Date:  2014-06

4.  Work Participation among Women and Men in Sweden: A Register Study of 8.5 Million Individuals.

Authors:  Katriina Heikkilä; Ellenor Mittendorfer-Rutz; Kristina Alexanderson; Marianna Virtanen
Journal:  Int J Environ Res Public Health       Date:  2021-04-27       Impact factor: 3.390

5.  Disability pension rates among immigrants in Norway.

Authors:  Bjørgulf Claussen; Lisbeth Smeby; Dag Bruusgaard
Journal:  J Immigr Minor Health       Date:  2012-04

6.  Prevalence of all-cause and diagnosis-specific disability pension at the time of first coronary revascularisation: a population-based Swedish cross-sectional study.

Authors:  Katharina Zetterström; Margaretha Voss; Kristina Alexanderson; Torbjörn Ivert; Kenneth Pehrsson; Niklas Hammar; Marjan Vaez
Journal:  PLoS One       Date:  2015-01-28       Impact factor: 3.240

7.  Women's higher likelihood of disability pension: the role of health, family and work. A 5-7 years follow-up of the Hordaland Health Study.

Authors:  Inger Haukenes; Sturla Gjesdal; Guri Rortveit; Trond Riise; John Gunnar Maeland
Journal:  BMC Public Health       Date:  2012-08-31       Impact factor: 3.295

8.  Proof firm downsizing and diagnosis-specific disability pensioning in Norway.

Authors:  Bjørgulf Claussen; Øyvind Næss; Leif Jostein Reime; Alastair H Leyland
Journal:  BMC Public Health       Date:  2013-01-11       Impact factor: 3.295

9.  Predictors of sickness absence in college and university educated self-employed: a historic register study.

Authors:  Liesbeth E C Wijnvoord; Jac J L Van der Klink; Michiel R De Boer; Sandra Brouwer
Journal:  BMC Public Health       Date:  2014-05-02       Impact factor: 3.295

10.  Women's Earnings are more Affected by Inflammatory Bowel Disease than Men's: A Register-Based Swedish Cohort Study.

Authors:  Åsa H Everhov; Gustaf Bruze; Jonas Söderling; Johan Askling; Jonas Halfvarson; Karin Westberg; Petter Malmborg; Caroline Nordenvall; Jonas F Ludvigsson; Ola Olén
Journal:  J Crohns Colitis       Date:  2021-06-22       Impact factor: 9.071

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.