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001-es BibID:BIBFORM112975
035-os BibID:(Scopus)85047382992 (WOS)000440723800006
Első szerző:Gartner, Andrea
Cím:Does selective migration alter socioeconomic inequalities in mortality in Wales? : a record-linked total population e-cohort study / Andrea Gartner, Daniel Farewell, Giles Greene, Laszlo Trefan, Alisha Davies, David Fone, Shantini Paranjothy
Dátum:2018
ISSN:2352-8273
Megjegyzések:Recent studies found evidence of health selective migration whereby healthy people move to less deprived areas and less healthy people move to or stay in more deprived areas. There is no consensus, however, on whether this influences health inequalities. Measures of socio-economic inequalities in mortality and life expectancy are widely used by government and health services to track changes over time but do not consider the effect of migration. This study aims to investigate whether and to what extent migration altered the observed socioeconomic gradient in mortality. Data for the population of Wales (3,136,881) registered with the National Health Service on 01/01/2006 and follow-up for 24 quarters were individually record-linked to ONS mortality files. This included moves between lower super output areas (LSOAs), deprivation quintiles and rural-urban class at each quarter, age, sex, and date of death. Cox regression models were used to estimate the hazard ratios for the deprivation quintiles in all-cause mortality, as well as deprivation change between the start and end of the study. We found evidence of health selective migration in some groups, for example people aged under 75 leaving the most deprived areas having a higher mortality risk than those they left behind, suggesting widening inequalities, but also found the opposite pattern for other migration groups. For all ages, those who lived in the most deprived quintile had a 57% higher risk of death than those in the least deprived quintile, allowing deprivation to vary with moves over time. There was little change in this risk when people were artificially kept in their deprivation quintile of origin (54% higher). Overall, migration during the six year window did not substantially alter the deprivation gradient in mortality in Wales between 2006 and 2011.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:SSM - Population Health. - 5 (2018), p. 48-54. -
További szerzők:Farewell, Daniel Greene, Giles Jeremy Trefán László (1969-) (biostatisztikus, bioinformatikus) Davies, Alisha Fone, David Paranjothy, Shantini
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001-es BibID:BIBFORM112202
035-os BibID:(cikkazonosító)581 (Scopus)85076323499
Első szerző:Trefán László (biostatisztikus, bioinformatikus)
Cím:Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales - protocol for platform development / Trefan, L., Akbari, A., Paranjothy, S., Farewell, D. M., Gartner, A., Fone, D., Greene, G. J., Evans, A., Smith, A., Adekanmbi, V., Kennedy, J., Lyons, R. A., Moore, S.
Dátum:2019
ISSN:2399-4908
Megjegyzések:Introduction Excessive alcohol consumption has adverse effects on health and there is a recognised need for the longitudinal analysis of population data to improve our understanding of the patterns of alcohol use, harms to consumers and those in their immediate environment. The UK has a number of linkable, longitudinal databases that if assembled properly could support valuable research on this topic. Aims and Objectives This paper describes the development of a broad set of cross-linked cohorts, e-cohorts, surveys and linked electronic healthcare records (EHRs) to construct an alcohol-specific analytical platform in the United Kingdom using datasets on the population of Wales. The objective of this paper is to provide a description of existing key datasets integrated with existing, routinely collected electronic health data on a secure platform, and relevant derived variables to enable population-based research on alcohol-related harm in Wales. We illustrate our use of these data with some exemplar research questions that are currently under investigation. Methods Record-linkage of routine and observational datasets. Routine data includes hospital admissions, general practice, and cohorts specific to children. Two observational studies were included. Routine socioeconomic descriptors and mortality data were also linked. Conclusion We described a record-linked, population-based research protocol for alcohol related harm on a secure platform. As the datasets used here are available in many countries, ELAStiC provides a template for setting up similar initiatives in other countries. We have also defined a number of alcohol specific variables using routinely-collected available data that can be used in other epidemiological studies into alcohol related outcomes. With over 10 years of longitudinal data, it will help to understand alcohol-related disease and health trajectories across the lifespan.
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:International Journal of Population Data Science. - 4 : 1 (2019), p. 1-14. -
További szerzők:Akbari, Ashley Paranjothy, Shantini Farewell, Daniel Gartner, Andrea Fone, David Greene, Giles Jeremy Evans, Anette Smith, Ann Adekanmbi, Victor Kennedy, Jonathan Lyons, Ronan Anthony Moore, Simon
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
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