Trajectories in the Prevalence of Self-Reported Illness Around Retirement

Marshall, Alan; Nazroo, James

doi:10.1007/s12062-015-9130-2

Cited by 7 publications

(11 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Matthews even finds a decrease in health and functioning for those in high quality jobs following retirement. Similar results were found by Marshall and Nazroo (2016).…”

Section: The Relationship Between Retirement Socio-economics and Hesupporting

confidence: 91%

“…A longitudinal study suggests that those who retire early had a steeper increase of the prevalence for illness before retirement compared to after retirement. The opposite was true for those who retired late (Marshall and Nazroo 2016). Some studies suggest that retirement timing is not related to health after retirement (Butterworth et al 2006;van Solinge 2007), but the contradictory findings on retirement timing might be related to a general and too undifferentiated view on retirement in which social differences are not taken into account.…”

Section: The Relationship Between Retirement Socio-economics and Hementioning

confidence: 97%

“…In order to understand the mechanisms of the rising importance hypothesis, we also need to consider the effects of changes in the retirement system. It has been suggested that pension policies for later retirement ages may exacerbate health inequalities (Marshall and Nazroo 2016). In a recent call for future research on the relationship between socio-economic status and health, Corna (2013, p. 153) suggests that Bin the context of the life course, too little attention is devoted to understanding how these socioeconomic inequalities are sustained, exacerbated or attenuated over time.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Involuntary and Delayed Retirement as a Possible Health Risk for Lower Educated Retirees

2018

View full text Add to dashboard Cite

Recent changes in the pension system may contribute to larger social inequalities and more involuntary late retirement transitions due to financial need. Lower educated workers may have less control over their retirement and may need to stay in the labour market despite poor health. How different aspects of the retirement transitions are related to post-retirement health is unclear. This study investigates health differences across educational levels among 1280 retirees participating in the 'Health, Ageing and Retirement Transitions in Sweden' (HEARTS) study. Retirement age and involuntary reasons for retirement were considered as potential mediator and moderators of the social gradient in health outcomes. Results from a path analysis suggest that lower educated retirees are more likely to stop working for physical reasons, which is related to poor post-retirement health. Hence, involuntary retirement mediates the educational effect on health. Linear regressions highlighted the moderating effect of retirement age: lower educated retirees had worse health than higher educated retirees when their transitions were late. Hence, the double disadvantage of lower educated individuals becomes apparent. This study contributes to explaining possible mechanisms of rising health inequalities by focusing on aspects of retirement.

show abstract

“…Matthews even finds a decrease in health and functioning for those in high quality jobs following retirement. Similar results were found by Marshall and Nazroo (2016).…”

Section: The Relationship Between Retirement Socio-economics and Hesupporting

confidence: 91%

Section: The Relationship Between Retirement Socio-economics and Hementioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Involuntary and Delayed Retirement as a Possible Health Risk for Lower Educated Retirees

2018

View full text Add to dashboard Cite

show abstract

“…The approach employs a similar methodology to that used by Yang () to model trajectories of depression, by Jivraj et al () to model wellbeing in later life and by Marshall et al. () for frailty. A key advantage of using a multilevel approach is that it offers one way of dealing with the correlation in an individual's wellbeing over time and the technique is capable of handling unequal time spaces, missing data and the inclusion of time varying and between subject covariates that are either continuous or discrete measures (Raudenbush & Chan, ).…”

Section: Methodsmentioning

confidence: 99%

“…Again we control for a set of socio‐demographic variables (which take the value observed at the time point prior to migration) to guard against the possibility that the social and demographic profiles of the two migration groups drive any differences in trajectories observed. Similar modelling strategies have been used to model wellbeing and health outcomes through events such as migration (Nowok et al., ) and retirement (Marshall & Nazroo, ; Westerlund et al., ).…”

Section: Methodsmentioning

confidence: 99%

Is migration in later life good for wellbeing? A longitudinal study of ageing and selectivity of internal migration

Finney

Marshall

2018

Area

Self Cite

View full text Add to dashboard Cite

Migration scholarship has recently paid attention to lifecourse and non‐economic effects of moving house. Yet consideration of the effects of internal migration in later life has been relatively neglected despite their implications for social and spatial inequalities. Thus we address two questions: how trajectories of wellbeing in later life vary for movers and non‐movers, and how the event of moving affects wellbeing. In both cases we distinguish between “voluntary” and “involuntary” movers. We use 10 years (2002–2012) of the English Longitudinal Study of Ageing (ELSA) to analyse trends in wellbeing for age cohorts and to examine how wellbeing changes through the event of moving. The Control, Autonomy, Selfrealisation and Pleasure (CASP‐19) measure of wellbeing is used. We find that, after controls for demographic and socio‐economic characteristics, involuntary movers have lower levels of wellbeing than stayers or voluntary movers; and involuntary movers experience a stabilisation in the decline in wellbeing following migration which is not seen for voluntary movers. So, migration in later life is good for wellbeing, maintaining advantageous wellbeing trajectories for voluntary movers and improving wellbeing trajectories for involuntary movers. These findings imply a rich potential of ELSA and similar longitudinal datasets for examining residential mobility; the need for ageing inequalities studies to take more account of residential mobility; the need for internal migration scholarship to pay greater attention to reason for move; and for policy to consider the potentially beneficial effects of residential mobility in later life, particularly for those in adverse circumstances.

show abstract

Sequence Analysis of Life History Data

Vanhoutte

Wahrendorf

Prattley

2018

Handbook of Research Methods in Health Social Sciences

View full text Add to dashboard Cite

This chapter is an entry-level introduction to sequence analysis, which is a set of techniques for exploring sequential quantitative data such as those contained in life histories. We illustrate the benefits of the approach, discuss its links with the life course perspective, and underline its importance for studying personal histories and trajectories, instead of single events. We explain what sequential data are and define the core concepts used to describe sequences. We give an overview of tools that sequence analysis offers, distinguishing between visually descriptive,

show abstract

Trajectories in the Prevalence of Self-Reported Illness Around Retirement

Cited by 7 publications

References 36 publications

Involuntary and Delayed Retirement as a Possible Health Risk for Lower Educated Retirees

Involuntary and Delayed Retirement as a Possible Health Risk for Lower Educated Retirees

Is migration in later life good for wellbeing? A longitudinal study of ageing and selectivity of internal migration

Sequence Analysis of Life History Data

Contact Info

Product

Resources

About