Presentation W P5

W P5 (Poster Presentation):
Predictors of work participation at higher age with depression, osteoarthritis and cardiovascular disease: a mixed method study

Presented by: William S. Shaw

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Authors

Boot CRL1,2, De Kruif JThCM3,4, Deeg DJH5, Van der Beek AJ1,2, Abma T3

  1. Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam
  2. Body@Work, Research Center on Physical Activity, Work and Health, Amsterdam
  3. Department of Metamedica / Medical Humanities, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam
  4. Department of health sciences, EMGO Institute for Health and Care Research, VU University, Amsterdam
  5. Department of Epidemiology and Biostatistics/Longitudinal Aging Study Amsterdam, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands

Abstract

Background

Maintaining and improving labour force participation of older individuals with a chronic disorder deserves attention as the prevalence of chronic disorders is increasing due to ageing of the working population. The aim of this study was to gain insight in differences and similarities in predictors of work participation at higher age (58-65 years) between three different chronic diseases: depression (D), osteoarthritis (O), and cardiovascular disease (C).

Methods

A sequential mixed method design was used. The quantitative part was based on the 2002-2003 cohort of the Longitudinal Aging Study Amsterdam. We analysed and compared 3-year predictors of paid work in 256 (response rate at follow-up 95%) participants (55-62 years) between groups with D, O or C using regression analyses. For the qualitative part, in-depth interviews were held with 14 patients with D, O or C, based on purposeful sampling and thematic content analysis. The qualitative findings were integrated with the quantitative findings aiming at complementarity and triangulation.

Results

The quantitative analyses did not show differences in predictors for paid work between D, C and O. Working at baseline, male gender, lower age, having a partner with paid work, and better physical and mental health indicators were predictors of paid work. Self-esteem, functional limitations and work-related characteristics were not predictive for paid work at follow up. The interviews revealed that not work characteristics, but being able to manage your own work and the importance attached to working were predictors for D, C, and O. For D and C work gave purpose in life and social contacts with colleagues, but only for D participation in work was necessary to structure their life.

Conclusions

The results of this mixed method study showed the added value of the interviews to complement quantitative analyses when investigating predictors for participation in workers with D, C and O. Most predictors were similar for the different chronic diseases, but the meaning of predictors for D were different from C and O. In the interviews new predictors came up related to the context and meaning of predictors that were not part of the questionnaires, therewith adding value to the quantitative study. Mixed method designs should be encouraged.

Schedule Details

Wednesday October 1
13:00 - 14:00 Poster Viewing
Session: Vulnerable workers & ethical issues