Caregiving reduces mortality risk for most caregivers: a census-based record linkage study

Importance Countries with advanced welfare systems are increasingly relying on the input of informal caregivers and there are growing concerns for their mental and physical wellbeing. However, the evidence about the relationship between caregiving and mortality risk is less clear.

Methods A census-based record linkage study with mortality follow-up of thirty-three months. A total of 1,122,779 individuals including 183,842 caregivers, of whom 28.2% (51,927) were providing fifty or more hours caregiving per week.

Results Over thirty-three months of follow-up a total of 29,335 deaths occurred, with 2,443 of these to caregivers. Mortality risk for caregivers was lower than for non-caregivers (HR= 0.72: 95%CI=0.69, 0.75 in the fully adjusted model), and the lower risk was evident even for those providing fifty or more hours of caregiving per week (adjusted Hazard Ratio=0.77: 95%CI=0.71, 0.83 and 0.76: 95%CI=0.69, 0.83 for men and women respectively). There was no evidence that this relationship varied by either age or marital status. Even amongst people with chronic health problems such as poor mental health, caregivers had lower mortality risk than non-caregivers. Caregiving is associated with reduced mortality risk for most causes - for example, the risk of death from Ischaemic Heart Disease for caregivers providing fifty or more hours was 27% and 31% lower for men and for women respectively compared to non-caregivers (HR=0.73: 95%CI=0.60, 0.88 and HR=0.69: 95%CI=0.51, 0.92).

Conclusions This large population-based study confirms that for the majority of caregivers the beneficial effects of caregiving in terms of short-term mortality risk appear to outweigh any negative effects, even amongst people with significant health problems. These results underscore the need for a reappraisal of how caregiving is perceived.


Keywords: caregiving, carers, mortality, longitudinal follow-up.
marital status. Even amongst people with chronic health problems such as poor mental health, caregivers had lower mortality risk than non-caregivers. Caregiving is associated with reduced mortality risk for most causes - for example, the risk of death from Ischaemic Heart Disease for caregivers providing fifty or more hours was 27% and 31% lower for men and for women respectively compared to non-caregivers (HR=0.73: 95%CI=0.60, 0.88 and HR=0.69: 95%CI=0.51, 0.92).

Conclusions This large population-based study confirms that for the majority of caregivers the beneficial effects of caregiving in terms of short-term mortality risk appear to outweigh any negative effects, even amongst people with significant health problems. These results underscore the need for a reappraisal of how caregiving is perceived.

Mismatches and matches in address information from the Census and the BSO: A longitudinal perspective 2001-2011

Accurate address information from health service providers is fundamental for the effective delivery of health care and population monitoring and screening. While it is currently used in the production of key statistics such as internal migration estimates, it will become even more important over time with the 2021 Census of UK constituent countries integrating administrative data to enhance the quality of statistical outputs. Therefore, it is beneficial to improve understanding of the accuracy of address information held by health service providers and factors that influence this. This paper builds upon previous research on the social geography of address mismatch between census and health service records in Northern Ireland. It is based on the Northern Ireland Longitudinal Study; this is a large data linkage study including about 28 per cent of the Northern Ireland population, which is matched between the census (2001, 2011) and Health Card Registration System maintained by the Health and Social Care Business Service Organisation (BSO). This research compares address information from the Spring 2011 BSO download (Unique Property Reference Number, Super Output Area) with comparable geographic information from the 2011 Census. Multivariate and multilevel analyses are used to assess the individual and ecological determinants of match/mismatch between geographical information in both data sources to determine if the characteristics of the associated people and places are the same as the position observed in 2001. It is important to understand if the same people are being inaccurately geographically referenced in both Census years or if the situation is more variable.

Towards the 2021 UK Census imputation strategy: Response mode as a matching variable in a donor-based approach?

Since July 2014, the Office for National Statistics has committed to a predominantly online 2021 UK Census. Item-level imputation will play an important role in adjusting the 2021 Census database. Research indicates that the internet may yield cleaner data than paper based capture and attract people with particular characteristics. Here, we provide preliminary results from research directed at understanding how we might manage these features in a 2021 UK Census imputation strategy. Our findings suggest that if using a donor-based imputation method, it may need to consider including response mode as a matching variable in the underlying imputation model.

People and places: Understanding geographical accuracy in administrative data from the census and healthcare systems

Administrative systems such as health care registration are of increasing importance in providing information for statistical, research, and policy purposes. There is thus a pressing need to understand better the detailed relationship between population characteristics as recorded in such systems and conventional censuses. This paper explores these issues using the unique Northern Ireland Longitudinal Study (NILS). It takes the 2001 Census enumeration as a benchmark and analyses the social, demographic and spatial patterns of mismatch with the health register at individual level. Descriptive comparison is followed by multivariate and multilevel analyses which show that approximately 25% of individuals are reported to be in different addresses and that age, rurality, education, and housing type are all important factors. This level of mismatch appears to be maintained over time, as earlier migrants who update their address details are replaced by others who have not yet done so. In some cases, apparent mismatches seem likely to reflect complex multi-address living arrangements rather than data error.

Realistic Traffic Scenarios Using a Census Methodology: Vila Real Case Study

This paper presents the first phase of the redevelopment of the Electric Vehicle Scenario Simulator (EVeSSi) tool. A new methodology to generate traffic demand scenarios for the Simulation of Urban MObility (SUMO) tool for urban traffic simulation is described. This methodology is based on a Portugal census database to generate a synthetic population for a given area under study. A realistic case study of a Portuguese city, Vila Real, is assessed. For this area the road network was created along with a synthetic population and public transport. The traffic results were obtained and an electric buses fleet was evaluated assuming that the actual fleet would be replaced in a near future. The energy requirements to charge the electric fleet overnight were estimated in order to evaluate the impacts that it would cause in the local electricity network.

Contributions towards smart cities : exploring block level census data for the characterization of change in Lisbon

The interest in using information to improve the quality of living in large urban areas and its governance efficiency has been around for decades. Nevertheless, the improvements in Information and Communications Technology has sparked a new dynamic in academic research, usually under the umbrella term of Smart Cities. This concept of Smart City can probably be translated, in a simplified version, into cities that are lived, managed and developed in an information-saturated environment. While it makes perfect sense and we can easily foresee the benefits of such a concept, presently there are still several significant challenges that need to be tackled before we can materialize this vision. In this work we aim at providing a small contribution in this direction, which maximizes the relevancy of the available information resources. One of the most detailed and geographically relevant information resource available, for the study of cities, is the census, more specifically the data available at block level (Subsecção Estatística). In this work, we use Self-Organizing Maps (SOM) and the variant Geo-SOM to explore the block level data from the Portuguese census of Lisbon city, for the years of 2001 and 2011. We focus on gauging change, proposing ways that allow the comparison of the two time periods, which have two different underlying geographical bases. We proceed with the analysis of the data using different SOM variants, aiming at producing a two-fold portrait: one, of the evolution of Lisbon during the first decade of the XXI century, another, of how the census dataset and SOM’s can be used to produce an informational framework for the study of cities.

Strengthening artisanal mining research and policy through baseline census activities

Over the past 10-15 years, several governments have implemented an array of technology, support-related, sustainable livelihoods (SL) and poverty-reduction projects for artisanal and small-scale mining (ASM). In the majority of cases, however, these interventions have failed to facilitate improvements in the industry's productivity and raise the living standards of the sector's subsistence operators. This article argues that a poor understanding of the demographics of target populations has precipitated these outcomes. In order to strengthen policy and assistance in the sector, governments must determine, with greater precision, the number of people operating in ASM regions, their origins and ethnic backgrounds, ages, and educational levels. This can be achieved by carrying out basic and localized census work before promoting ambitious sector-specific projects aimed at improving working conditions in the industry.

Agricultural tenancies: implied surrender and regrant and the operation of the Agricultural Tenancies Act 1995

Agricultural tenancies arising after 1st September 1995 are mostly governed by the Agricultural Tenancies Act 1995. As such, tenants under this Act do not benefit from the degree of protection conferred on tenancies already in existence, which remain under the Agricultural Holdings Act 1986. Section 4 of the 1995 Act seeks to protect those tenancies which subsequently inadvertently undergo a surrender and regrant and which would otherwise lose the protection of the 1986 Act. This paper seeks to investigate, by relating recent case law and statute to the situation of agricultural tenancies, the occasions where surrender and regrant might occur and whether in such instances the protection of the 1986 Act will be lost.

Succession to farm tenancies: future imperfect?

Until the law was amended in 1984, the tenants of agricultural holdings enjoyed security of tenure for life, plus the prospect of two family successions to their tenancies, virtually guaranteeing a tenant- farming family at least three generations occupation of a holding. The orthodox view has been that any transfers of interests that took place before the passing of the Act which introduced the scheme in 1976 would not count towards the inherent 'totting-up' process. The 1993 High Court judgement in Saunders v Ralph has raised serious questions as to the validity of that assertion. This paper seeks to identify the key legal provisions involved and to highlight the problems that may result from the case.

Median Household Income in Maine by Census Tract

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