Projects per year
Abstract
Background Given the current policy emphasis in many Western societies on extending working lives, we investigated the health effects of being in paid work beyond state pension age (SPA). Until now, work has largely focused on the health of those who exit the labour force early. Methods Our data come from waves 2-4 of the English Longitudinal Study of Ageing, including the life history interview at wave 3. Using logistic and linear regression models, we assessed the longitudinal associations between being in paid work beyond SPA and 3 measures of health (depression, a latent measure of somatic health and sleep disturbance) among men aged 65-74 and women aged 60-69. Our analyses controlled for baseline health and socioeconomic characteristics, as well as for work histories and health in adulthood and childhood. Results Approximately a quarter of women and 15% of men were in paid work beyond SPA. Descriptive bivariate analyses suggested that men and women in paid work were more likely to report better health at follow-up. However, once baseline socioeconomic characteristics as well as adulthood and baseline health and labour market histories were accounted for, the health benefits of working beyond SPA were no longer significant. Conclusions Potential health benefits of working beyond SPA need to be considered in the light of the fact that those who report good health and are more socioeconomically advantaged are more likely to be working beyond SPA to begin with.
Original language | English |
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Pages (from-to) | 1-8 |
Journal | Journal of Epidemiology and Community Health |
Early online date | 9 Dec 2016 |
DOIs | |
Publication status | E-pub ahead of print - 9 Dec 2016 |
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Dive into the research topics of 'Is being in paid work beyond state pension age beneficial for health? Evidence from England using a life-course approach'. Together they form a unique fingerprint.Projects
- 1 Finished
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ESRC Extending Working Lives Consortia: Lifecourse influences in extending working lives beyond Stage Pension Age: How does change across cohorts inform future projections for the over 50's?
Glaser, K. (Primary Investigator)
1/01/2013 → 3/09/2016
Project: Research