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Öylü G, Motel-Klingebiel A, Kelfve S. Age Differences in Unemployment Risk and Reemployment Outcomes in Late Working Life in Sweden. J Aging Soc Policy 2024:1-26. [PMID: 38526003 DOI: 10.1080/08959420.2024.2319530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 09/07/2023] [Indexed: 03/26/2024]
Abstract
Participation of older workers in the labor market depends, among other things, on older workers employment chances. This study examines age differences regarding risk of unemployment and reemployment outcomes in late working life in Sweden. Using Swedish registry data, we analyzed the probability of unemployment as well as work-related activity following unemployment (wage- or self-employment; exit; downward mobility) of all people born between 1954 and 1968 (aged 49-63) and registered in Sweden between the years 2012 and 2018. Results show that although risk of unemployment does not differ significantly across age groups, younger age groups are more likely to be reemployed as wage-employed while older age groups are more likely to be reemployed as self-employed or exit working life. After an unemployment period, older employees are more likely to have a lower wage than during their previous employment or become part-time unemployed. We conclude that different age groups have unequal chances in late working life in terms of reemployment, risk of exit, and risk of downward mobility following unemployment. Policies for extending working life and promoting inequality should include measures for increasing employability of older workers such as anti-discriminatory laws and dealing with skills mismatch.
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Affiliation(s)
- Gülin Öylü
- Division of Ageing and Social Change (ASC), Department of Culture and Society (IKOS), Linköping University, Norrköping, Sweden
| | - Andreas Motel-Klingebiel
- Division of Ageing and Social Change (ASC), Department of Culture and Society (IKOS), Linköping University, Norrköping, Sweden
| | - Susanne Kelfve
- Division of Ageing and Social Change (ASC), Department of Culture and Society (IKOS), Linköping University, Norrköping, Sweden
- Aging Research Center, Karolinska Institutet & Stockholm University, Stockholm, Sweden
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Zaccagni S, Sigsgaard AM, Vrangbaek K, Noermark LP. Who continues to work after retirement age? BMC Public Health 2024; 24:692. [PMID: 38438993 PMCID: PMC10913677 DOI: 10.1186/s12889-024-18161-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 02/20/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Demographic changes in all industrialized countries have led to a keen interest in extending working lives for older workers. To achieve this goal, it is essential to understand the patterns of retirement and specifically what characterizes individuals who continue to work beyond retirement age. Thus, the aim of this paper was to contribute to the international body of empirical knowledge about individuals who continue in the workforce after retirement age. We present evidence from Denmark and examine what characterizes individuals who continue in the workforce after retirement age and investigate the likelihood of continued work after retirement age while controlling for a set of socio-economic and lifestyle factors. METHODS The study population consisted of 5,474 respondents to the Copenhagen Aging and Midlife Biobank (CAMB) 2021 survey, divided into two groups. The first group included subjects (n = 1,293) who stayed longer in the workforce even though they had the possibility to retire. The second group consisted of subjects who had retired full-time at the time of the survey (n = 4,181). Survey data was linked to register data to provide a broader dataset. In order to investigate the heterogeneity between the two groups in terms of important socio-economic, work-related and health-related variables, t-test, Mann-Whitney U (Wilcoxon Rank) test, and chi-square tests were employed. Further, to examine the probability of an individual working after retirement age a logit model with step-wise inclusion was utilized. RESULTS Overall, individuals who continue to work even though they could retire tend to be wealthier, healthier, and males compared to individuals who are retired full-time. Further, there are more older workers who have partners and are co-habitants than retirees. The likelihood of continuing in the workforce past retirement age is affected by several work-related factors as well as life-style factors. The likelihood of working past retirement age decreases by years spent in the workforce (marginal effect of -0.003), if you have a partner (-0.080) and if your partner is outside of the workforce (marginal effect of -0.106). The likelihood increases by health (marginal effect of -0.044 of moving from excellent/very good health to good health or to fair/poor health, physical working capability (marginal effect of -0.083 of moving from no/some problems to severe problems or cannot work at all) and income (marginal effect of 0.083 from moving from the lowest income-quantile to higher quantiles). CONCLUSION These results are in line with the previous literature and suggest the importance of designing retirement policies that tailor the transition toward retirement according to specific characteristics of both the individual and the segment of occupation.
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Affiliation(s)
- Sarah Zaccagni
- Department of Economics & Business Economics, Aarhus University, Aarhus, Denmark
| | - Anna Munk Sigsgaard
- Department of Prevention, Health Promotion and Community Care, Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Karsten Vrangbaek
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Tetzlaff F, Nowossadeck E, Epping J, di Lego V, Muszynska-Spielauer M, Beller J, Sperlich S, Tetzlaff J. Trends in cancer-free working life expectancy based on health insurance data from Germany-Is the increase as strong as in working life expectancy? PLoS One 2023; 18:e0288210. [PMID: 37494349 PMCID: PMC10370751 DOI: 10.1371/journal.pone.0288210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 06/21/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND Against the backdrop of population ageing, governments are facing the need to raise the statutory retirement age. In this context, the question arises whether these extra years added to working life would be spent in good health. As cancer represents a main contributor to premature retirement this study focuses on time trends and educational inequalities in cancer-free working life expectancy (WLE). METHODS The analyses are based on the data of a large German health insurer covering annually about 2 million individuals. Cancer-free WLE is calculated based on multistate life tables and reported for three periods: 2006-2008, 2011-2013, and 2016-2018. Educational inequalities in 2011-2013 were assessed by two educational levels (8 to 11 years and 12 to 13 years of schooling). RESULTS While labour force participation increased, cancer incidence rates decreased over time. Cancer-free WLE at age 18 increased by 2.5 years in men and 6.3 years in women (age 50: 1.3 years in men, 2.4 years in women) between the first and third period while increases in WLE after a cancer diagnosis remained limited. Furthermore, educational inequalities are substantial, with lower groups having lower cancer-free WLE. The proportion of cancer-free WLE in total WLE remained constant in women and younger men, while it decreased in men at higher working age. CONCLUSION The increase in WLE is accompanied by an increase in cancer-free WLE. However, the subgroups considered have not benefitted equally from this positive development. Among men at higher working age, WLE increased at a faster pace than cancer-free WLE. Particular attention should be paid to individuals with lower education and older men, as the general level and time trends in cancer-free WLE are less favourable.
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Affiliation(s)
- Fabian Tetzlaff
- Medical Sociology Unit, Hannover Medical School, Hanover, Germany
- Division of Social Determinants of Health, Robert Koch-Institute, Berlin, Germany
| | - Enno Nowossadeck
- Division of Social Determinants of Health, Robert Koch-Institute, Berlin, Germany
| | - Jelena Epping
- Medical Sociology Unit, Hannover Medical School, Hanover, Germany
- Comprehensive Cancer Center Hannover, Hannover Medical School, Hanover, Germany
| | - Vanessa di Lego
- Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, Univ. Vienna), Vienna, Austria
- Vienna Institute of Demography, Austrian Academy of Sciences, Vienna, Austria
| | - Magdalena Muszynska-Spielauer
- Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, Univ. Vienna), Vienna, Austria
- Vienna Institute of Demography, Austrian Academy of Sciences, Vienna, Austria
| | - Johannes Beller
- Medical Sociology Unit, Hannover Medical School, Hanover, Germany
- Comprehensive Cancer Center Hannover, Hannover Medical School, Hanover, Germany
| | | | - Juliane Tetzlaff
- Medical Sociology Unit, Hannover Medical School, Hanover, Germany
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Sperlich S, Beller J, Epping J, Geyer S, Tetzlaff J. Trends of healthy and unhealthy working life expectancy in Germany between 2001 and 2020 at ages 50 and 60: a question of educational level? J Epidemiol Community Health 2023; 77:430-439. [PMID: 37193584 PMCID: PMC10314014 DOI: 10.1136/jech-2023-220345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 04/29/2023] [Indexed: 05/18/2023]
Abstract
BACKGROUND Extending the number of active working years is an important goal both for maintaining individual quality of life and safeguarding social security systems. Against this background, we examined the development of healthy and unhealthy working life expectancy (HWLE/UHWLE) in the general population and for different educational groups. METHODS The study is based on data from the German Socio-Economic Panel study, including 88 966 women and 85 585 men aged 50-64 years and covering four time periods (2001-05, 2006-2010, 2011-2015 and 2016-2020). Estimates of HWLE and UHWLE in terms of self-rated health (SRH) were calculated using the Sullivan's method. We adjusted for hours worked and stratified by gender and educational level. RESULTS Working-hours adjusted HWLE at age 50 increased in women and men from 4.52 years (95% CI 4.42 to 4.62) in 2001-2005 to 6.88 years (95% CI 6.78 to 6.98) in 2016-2020 and from 7.54 years (95% CI 7.43 to 7.65) to 9.36 years (95% CI 9.25 to 9.46), respectively. Moreover, UHWLE also rose with the proportion of working life spent in good SRH (health ratio) remaining largely stable. At age 50, educational differences in HWLE between the lowest and highest educational groups increased over time in women and in men from 3.72 to 4.99 years and from 4.06 to 4.40 years, respectively. CONCLUSIONS We found evidence for an overall increase but also for substantial educational differences in working-hours adjusted HWLE, which widened between the lowest and highest educational group over time. Our findings suggest that policies and health prevention measures at workplace should be more focused on workers with low levels of education in order to extend their HWLE.
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Affiliation(s)
| | - Johannes Beller
- Medical Sociology, Hannover Medical School, Hannover, Germany
| | - Jelena Epping
- Medical Sociology, Hannover Medical School, Hannover, Germany
| | - Siegfried Geyer
- Medical Sociology, Hannover Medical School, Hannover, Germany
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Stengård J, Virtanen M, Leineweber C, Westerlund H, Wang HX. The Implication of Physically Demanding and Hazardous Work on Retirement Timing. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19138123. [PMID: 35805780 PMCID: PMC9265406 DOI: 10.3390/ijerph19138123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 06/28/2022] [Accepted: 06/28/2022] [Indexed: 12/10/2022]
Abstract
The need to retain individuals longer in the workforce is acknowledged in many high-income countries. The present study therefore aimed to examine the importance of physically demanding work tasks (PDWT) and physically hazardous work environment (PHWE) in relation to retirement timing among pensionable workers (≥61 years). A particular question was whether PDWT and PHWE increased in importance with age. Six waves (2008–2018) of the Swedish Longitudinal Occupational Survey of Health (SLOSH) were used (n = 5201; 56% women and 44% men; mean age at first survey was 61.0 (SD 2.0) years). Discrete time-event history analysis, stratified by socioeconomic position and gender, showed that among blue-collar workers, PDWT and PHWE were associated with an increased likelihood of retiring within the next two years. With increasing age, high-level PHWE was associated with higher probability of retiring among blue-collar men, whereas heavy PDWT was associated with lower probability of retiring among blue-collar women. Among white-collar workers, having at least some PDWT compared to no PDWT was associated with a lower likelihood of retiring within the next two years. With increasing age, exposure to PHWE was associated with higher probability of retiring among white-collar women. These results suggest that to delay retirements, organizations could offer their older employees, especially blue-collar workers and the oldest white-collar women, alternatives to PDWT and PHWE.
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Affiliation(s)
- Johanna Stengård
- Stress Research Institute, Department of Psychology, Stockholm University, 11419 Stockholm, Sweden; (C.L.); (H.W.); (H.-X.W.)
- Correspondence:
| | - Marianna Virtanen
- School of Educational Sciences and Psychology, University of Eastern Finland, 80101 Joensuu, Finland;
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Constanze Leineweber
- Stress Research Institute, Department of Psychology, Stockholm University, 11419 Stockholm, Sweden; (C.L.); (H.W.); (H.-X.W.)
| | - Hugo Westerlund
- Stress Research Institute, Department of Psychology, Stockholm University, 11419 Stockholm, Sweden; (C.L.); (H.W.); (H.-X.W.)
| | - Hui-Xin Wang
- Stress Research Institute, Department of Psychology, Stockholm University, 11419 Stockholm, Sweden; (C.L.); (H.W.); (H.-X.W.)
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