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      The influence of occupational class and physical workload on working life expectancy among older employees

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          Abstract

          Objective:

          This study investigates the impact of physical workload factors and occupational class on working life expectancy (WLE) and working years lost (WYL) in a sample of older Finnish workers.

          Methods:

          A 70% random sample of Finns in 2004 was linked to a job exposure matrix for physical workload factors and register information on occupational class and labor market status until 2014. Transitions between being at work, time-restricted work disability, unemployment, economic inactivity, disability retirement, retirement and death were estimated. A multistate Cox regression model with transition-specific covariates was used to estimate the WLE and WYL at age 50 up to 63 years for each occupational class and physical workload factor for men and women (N=415 105).

          Results:

          At age 50, male and female manual workers had a WLE of 10.13 and 10.14 years, respectively. Among both genders, manual workers had one year shorter WLE at age 50 than upper non-manual employees. This difference was largely attributable to unemployment (men: 0.60, women: 0.66 years) and disability retirement (men: 0.28, women: 0.29 years). Self-employed persons had the highest WLE (11.08 years). Men and women exposed to four or five physical workload factors had about one year lower WLE than non-exposed workers. The difference was primarily attributable to ill-health-related reasons, including disability retirement (men: 0.45 years, women: 0.53 years) and time-restricted work disability (men: 0.23, women: 0.33 years).

          Conclusions:

          Manual workers and those exposed to physical workload factors had the lowest WLE. The differences in WYL between exposure groups can primarily be explained by ill-health-based exit routes.

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          Most cited references33

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          Ageing populations: the challenges ahead.

          If the pace of increase in life expectancy in developed countries over the past two centuries continues through the 21st century, most babies born since 2000 in France, Germany, Italy, the UK, the USA, Canada, Japan, and other countries with long life expectancies will celebrate their 100th birthdays. Although trends differ between countries, populations of nearly all such countries are ageing as a result of low fertility, low immigration, and long lives. A key question is: are increases in life expectancy accompanied by a concurrent postponement of functional limitations and disability? The answer is still open, but research suggests that ageing processes are modifiable and that people are living longer without severe disability. This finding, together with technological and medical development and redistribution of work, will be important for our chances to meet the challenges of ageing populations.
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            Tutorial in biostatistics: competing risks and multi-state models.

            Standard survival data measure the time span from some time origin until the occurrence of one type of event. If several types of events occur, a model describing progression to each of these competing risks is needed. Multi-state models generalize competing risks models by also describing transitions to intermediate events. Methods to analyze such models have been developed over the last two decades. Fortunately, most of the analyzes can be performed within the standard statistical packages, but may require some extra effort with respect to data preparation and programming. This tutorial aims to review statistical methods for the analysis of competing risks and multi-state models. Although some conceptual issues are covered, the emphasis is on practical issues like data preparation, estimation of the effect of covariates, and estimation of cumulative incidence functions and state and transition probabilities. Examples of analysis with standard software are shown. Copyright 2006 John Wiley & Sons, Ltd.
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              The influence of chronic health problems and work-related factors on loss of paid employment among older workers

              With an ageing society and increasing retirement ages, it is important to understand how employability can be promoted in older workers with health problems. The current study aimed to determine whether (1) different chronic health problems predict transitions from paid employment to disability benefits, unemployment and early retirement, and (2) how work-related factors modify these associations.
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                Author and article information

                Journal
                Scand J Work Environ Health
                Scand J Work Environ Health
                Scandinavian Journal of Work, Environment & Health
                Nordic Association of Occupational Safety and Health (Finland )
                0355-3140
                1795-990X
                1 January 2021
                1 September 2020
                16 December 2020
                16 December 2020
                : 47
                : 1
                : 5-14
                Affiliations
                [1 ]Erasmus University Medical Center, Department of Public Health, Rotterdam, The Netherlands
                [2 ]Finnish Institute of Occupational Health, TYÖTERVEYSLAITOS, Finland
                Author notes
                Correspondence to: Suzan J W Robroek, Department of Public Health, Erasmus MC, Rotterdam 3000 CA, The Netherlands. [E-mail: s.robroek@ 123456erasmusmc.nl ]
                Article
                3919
                10.5271/sjweh.3919
                7801139
                32869106
                54bde5ce-4a82-4e1d-ad9f-628f1ff2853f
                Copyright: © Scandinavian Journal of Work, Environment & Health

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 22 June 2020
                Categories
                Original Article

                finland,occupation,older worker,physical workload factor,socioeconomic difference,work disability,working career,working years lost

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