Marital status and living arrangements, along with changes in these in mid-life and older ages, have implications for an individual's health and mortality. Literature on health and mortality by marital status has consistently identified that unmarried individuals generally report poorer health and have a higher mortality risk than their married counterparts, with men being particularly affected in this respect. With evidence of increasing changes in partnership and living arrangements in older ages, with rising divorce amongst younger cohorts offsetting the lower risk of widowhood, it is important to consider the implications of such changes for health in later life. Within research which has examined changes in marital status and living arrangements in later life a key distinction has been between work using cross-sectional data and that which has used longitudinal data. In this context, two key debates have been the focus of research; firstly, research pointing to a possible selection of less healthy individuals into singlehood, separation or divorce, while the second debate relates to the extent to which an individual's transitions earlier in the life course in terms of marital status and living arrangements have a differential impact on their health and mortality compared with transitions over shorter time periods. After reviewing the relevant literature, this paper argues that in order to fully account for changes in living arrangements as a determinant of health and mortality transitions, future research will increasingly need to consider a longer perspective and take into account transitions in living arrangements throughout an individual's life course rather than simply focussing at one stage of the life course.
Informal caring is of significant and increasing importance in the context of an ageing population, growing pressures on public finances, and increasing life expectancy at older ages. A growing body of research has examined the characteristics associated with informal care provision, as well as the impact of caring for the carer's physical and mental health, and their economic activity. However, only a relatively small body of literature has focused on the study of 'repeat' or continuous caring over time, and the factors associated with such trajectories. In 2001, for the first time, the United Kingdom census asked about provision of informal care, enabling identification of the prevalence of informal caregiving at a national level. This paper follows up informal carers from the 2001 Census in order to examine their characteristics and circumstances 10 years later using a nationally representative 1% sample of linked census data for England and Wales, the Office for National Statistics Longitudinal Study. The analysis classifies the range of possible combinations of caring and non-caring roles between 2001 and 2011, focusing on the characteristics of those who were providing care at one, or both, time points. Among other results, the analysis identified that, among those who were carers in 2001, caring again in, or continuing to care until, 2011 was associated with being female, aged between 45 and 54 years in 2011, looking after the home, and providing care for 50 hours or more per week in 2001. Such results contribute to our understanding of a particular group of informal carers and provide a more nuanced picture of informal care provision at different stages of the life course.
Informal care provision is an activity in which individuals are increasingly likely to become involved across their life course, and particularly in later life, as a result of demographic changes such as increasing longevity and changes in co-residential living arrangements in later life. Academic research so far has highlighted the adverse impact of informal care provision on the financial position of the carer, however, the evidence on the impact of informal care provision on the carer's physical, mental and emotional health, and on their mortality, presents a more complex picture. This paper reviews research from the UK and beyond on the provision of informal care and its subsequent impact on health and mortality outcomes. Two key findings emerge from this review paper. Firstly, the cross-sectional analysis of data shows mixed associations between informal care provision and poor health outcomes for the carer. Such research highlights the importance of the demographic and socio-economic characteristics of the carer and the person cared for, and of the specific characteristics and nature of the care provided (e.g. duration, level). Secondly, longitudinal analysis, which typically benefits from a longer timeframe to follow up the impact of caring, shows that although informal care provision is not per se associated with adverse health and mortality outcomes, nevertheless particular types and durations of caring have shown negative outcomes.
The evidence of the impact of informal care provision on the health of carers presents a complex and contested picture, depending on the characteristics of the care studied, including its duration, which has been relatively short in previous research (up to 4 years). Drawing on data from the Office for National Statistics Longitudinal Study, a 1% sample of linked Census records for respondents in England and Wales (N=270,054), this paper contributes original insights on the impact of care provision on the carer's health ten years later. The paper explores differentials in self-reported health in 2011 between individuals according to their caring status at 2001 and 2011, and controlling for a range of demographic and socio-economic characteristics. The results show that individuals providing informal care in 2011 (regardless of carer status in 2001) exhibit lower odds of poor health in 2011 than those who did not provide care in both 2001 and 2011. Taking the intensity of care into account, ‘heavy’ carers in 2001 (i.e. caring for more than 20 h per week) who were not caring in 2011 show a higher likelihood of reporting poor health than non-carers, while those who were ‘heavy’ carers in both 2001 and 2011 are around one-third less likely to report poor health at 2011 compared to non-carers (2001 and 2011). These findings provide new insights in relation to repeat caring and its association with the carer's health status, further contributing to our understanding of the complex relationship between informal care provision and the carer's health.
BackgroundThe study examines the relationship between transitions to residential and sheltered housing and mortality. Past research has focused on housing moves over extended time periods and subsequent mortality. In this paper, annual housing transitions allow the identification of the patterning of housing moves, the duration of stay in each sector and the assessment of the relationship of preceding moves to a heightened risk of dying.MethodsThe study uses longitudinal data constructed from pooled observations from the British Household Panel Survey (waves 1993–2008). Records were pooled for all cases where the survey member is 65 years or over and living in private housing at baseline and observed at three consecutive time points, including baseline (N=23 727). Binary logistic regression (death as outcome three waves after baseline) explored the relative strength of different housing transitions, controlling for sociodemographic predictors.Results(1) Transition to residential housing within the previous 12 months was associated with the highest mortality risk. (2) Results support existing findings showing an interaction between marital status and mortality, whereby unmarried persons were more likely to die. (3) Higher male mortality was observed across all housing transitions.ConclusionsAn older person's move to residential housing is associated with a higher risk of mortality within 12 months of the move. Survivors living in residential housing for more than a year, show a similar probability of dying to those living in sheltered housing. Results highlight that it is the type of accommodation that affects an older person's mortality risk, and the length of time they spend there.
Among datasets available for fertility research in England and Wales, the Office for National Statistics (ONS) Longitudinal Study (LS) is unique in its construction and scale. The large number of individuals who are part of the study means that it is an important dataset for estimating fertility trends in England and Wales by age and parity. This article uses the LS to estimate age-specific fertility rates (ASFRs) for England and Wales between 1991 and 2001. This necessitates great care to ensure that the exposure to risk of birth for female LS members is fully understood. To achieve this, two forms of residential history are definedconsistent cases where the residential information for the LS member is potentially complete for the whole decade and inconsistent cases where there is certainly some form of incompleteness in the residence information. By considering 'all consistent cases', that is both the continuously resident plus those who are not continuously resident but appear to have a complete residential history, we obtain ASFRs which are slightly lower than official statistics figures, but closer to these official figures than ASFRs produced when restricting the sample to LS members who remain continuously resident between 1991 and 2001. The fertility of those consistent cases who are not continuously resident is substantially higher than the rates of continuously resident cases.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.