The effect of population movement on the spatial distribution of socio-economic and health status: Analysis using the Northern Ireland mortality study

Connolly, Sheelah; Rosato, Michael; O’Reilly, Dermot

doi:10.1016/j.healthplace.2011.02.005

Cited by 10 publications

(9 citation statements)

References 16 publications

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“…In terms of mobility patterns, the number of individuals moving from the most towards the least deprived areas appeared to be greater than was observed moving in the opposite direction or remaining within areas with a similar level of deprivation. Collectively this would suggest a net population movement out of the more deprived areas between the two Censuses, a finding consistent with previous research (Connolly et al, 2011). Pettit and McLanahan (2003) have shown that families who moved to better neighbourhoods were more likely to have economic and social resources.…”

Section: Interpretation Of the Resultssupporting

confidence: 87%

The influence of mobility on mental health status in young people: The role of area-level deprivation

et al. 2016

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Residential mobility during childhood has been previously associated with poor mental health; however, this association could be mediated by several aspects of moving. This paper investigated the impact of mobility across different levels of area deprivation on the individual's mental health status in Northern Ireland. Mobility towards deprived areas was associated with an elevated risk of reporting poor mental health in both house owners and renters. However, the number of residential moves appeared to be moderating the effect of area change on the individual's mental health. Further exploration of this relationship is warranted through the use of more in-depth mental health measures.

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Section: Interpretation Of the Resultssupporting

confidence: 87%

The influence of mobility on mental health status in young people: The role of area-level deprivation

et al. 2016

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“…These patterns are noted in other work but there are variations of findings in relation to geographic scale (Brown & Leyland, 2010) and the time frame of studies (Boyle et al, 2002;Curtis et al, 2009;Connolly et al, 2011). Whilst population movements away from more deprived locations tend to exaggerate overall inequalities between areas (Norman et al, 2011), not all studies find this to be the case .…”

Section: Introductionmentioning

confidence: 75%

Are health inequalities between differently deprived areas evident at different ages? A longitudinal study of census records in England and Wales, 1991–2001

Norman

Boyle

2014

Health & Place

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“…However, people who live in each district might change because of migration (within the country and overseas). 32–35 Therefore, life expectancy trends should not be attributed solely to changes in health status of individuals. Nonetheless, findings from studies in the UK 34–36 and elsewhere 31 have shown that migration is not sufficient to explain trends in health and health inequalities, and that these trends are largely due to changes in population health.…”

Section: Discussionmentioning

confidence: 99%

The future of life expectancy and life expectancy inequalities in England and Wales: Bayesian spatiotemporal forecasting

et al. 2015

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SummaryBackgroundTo plan for pensions and health and social services, future mortality and life expectancy need to be forecast. Consistent forecasts for all subnational units within a country are very rare. Our aim was to forecast mortality and life expectancy for England and Wales' districts.MethodsWe developed Bayesian spatiotemporal models for forecasting of age-specific mortality and life expectancy at a local, small-area level. The models included components that accounted for mortality in relation to age, birth cohort, time, and space. We used geocoded mortality and population data between 1981 and 2012 from the Office for National Statistics together with the model with the smallest error to forecast age-specific death rates and life expectancy to 2030 for 375 of England and Wales' 376 districts. We measured model performance by withholding recent data and comparing forecasts with this withheld data.FindingsLife expectancy at birth in England and Wales was 79·5 years (95% credible interval 79·5–79·6) for men and 83·3 years (83·3–83·4) for women in 2012. District life expectancies ranged between 75·2 years (74·9–75·6) and 83·4 years (82·1–84·8) for men and between 80·2 years (79·8–80·5) and 87·3 years (86·0–88·8) for women. Between 1981 and 2012, life expectancy increased by 8·2 years for men and 6·0 years for women, closing the female–male gap from 6·0 to 3·8 years. National life expectancy in 2030 is expected to reach 85·7 (84·2–87·4) years for men and 87·6 (86·7–88·9) years for women, further reducing the female advantage to 1·9 years. Life expectancy will reach or surpass 81·4 years for men and reach or surpass 84·5 years for women in every district by 2030. Longevity inequality across districts, measured as the difference between the 1st and 99th percentiles of district life expectancies, has risen since 1981, and is forecast to rise steadily to 8·3 years (6·8–9·7) for men and 8·3 years (7·1–9·4) for women by 2030.InterpretationPresent forecasts underestimate the expected rise in life expectancy, especially for men, and hence the need to provide improved health and social services and pensions for elderly people in England and Wales. Health and social policies are needed to curb widening life expectancy inequalities, help deprived districts catch up in longevity gains, and avoid a so-called grand divergence in health and longevity.FundingUK Medical Research Council and Public Health England.

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The effect of population movement on the spatial distribution of socio-economic and health status: Analysis using the Northern Ireland mortality study

Cited by 10 publications

References 16 publications

The influence of mobility on mental health status in young people: The role of area-level deprivation

The influence of mobility on mental health status in young people: The role of area-level deprivation

Are health inequalities between differently deprived areas evident at different ages? A longitudinal study of census records in England and Wales, 1991–2001

The future of life expectancy and life expectancy inequalities in England and Wales: Bayesian spatiotemporal forecasting

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