Neighborhoods and mortality in Sweden: Is deprivation best assessed nationally or regionally?

Åström, Daniel Oudin; Franks, Paul W.; Sundquist, Kristina

doi:10.4054/demres.2018.38.18

Cited by 5 publications

(3 citation statements)

References 30 publications

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“…However, the SAMS neigh bor hood divi sion has been used exten sively in Swed ish research, and has been shown to be associ ated with a wide range of liv ing con di tions (cf. Andersson 2004;Edling and Rydgren 2012), includ ing mor tal ity (Oudin Åström et al 2018a;Oudin Åström et al 2018b). Moreover, the results from our sen si tiv ity ana ly ses sug gest that the asso ci a tions are robust across SAMS neigh bor hoods char ac ter ized by dif fer ent lev els of urbanicity.…”

Section: Strengths and Limitationsmentioning

confidence: 53%

“…Two recent stud ies from Sweden showed that peo ple liv ing in more deprived neigh borhoods expe ri enced higher mor tal ity and smaller reduc tions in car dio vas cu lar mor tal ity over time, com pared with those liv ing in less deprived neigh bor hoods (Oudin Åström et al 2018a;Oudin Åström et al 2018b). Some evi dence indi cates that spa tial inequalities in mor tal ity are partly driven by the unequal dis tri bu tion of haz ard ous behav ioral fac tors, such as smok ing and obe sity (Chetty et al 2016;Warren Andersen et al 2018).…”

Section: Geographic Variation In Inequality In Life Expectancymentioning

confidence: 99%

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Growing Income-Based Inequalities in Old-Age Life Expectancy in Sweden, 2006–2015

2021

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Sweden is known for high life expectancy and economic egalitarianism, yet in recent decades it has lost ground in both respects. This study tracked income inequality in old-age life expectancy and life span variation in Sweden between 2006 and 2015, and examined whether patterns varied across levels of neighborhood deprivation. Income inequality in remaining life expectancy at ages 65, 75, and 85 increased. The gap in life expectancy at age 65 grew by more than a year between the lowest and the highest income quartiles, for both men (from 3.4 years in 2006 to 4.5 years in 2015) and women (from 2.3 to 3.4 years). This widening income gap in old-age life expectancy was driven by different rates of mortality improvement: individuals with higher incomes increased their life expectancy at a faster rate than did those with lower incomes. Women with the lowest incomes experienced no improvement in old-age life expectancy. Furthermore, life span variation increased in the lowest income quartile, while it decreased slightly among those in the highest quartile. Income was found to be a stronger determinant of old-age life expectancy than neighborhood deprivation.

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Section: Strengths and Limitationsmentioning

confidence: 53%

Section: Geographic Variation In Inequality In Life Expectancymentioning

confidence: 99%

Growing Income-Based Inequalities in Old-Age Life Expectancy in Sweden, 2006–2015

2021

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“…11 15-17 Limited research has investigated the association between life expectancy and socioeconomic deprivation at the smaller area level, including a study in Scotland 18 and one in Sweden. 19 It is crucial to focus on small regions and detect those that are most in need. This would help better understand the life expectancy gap and support governments with evidence for public health prioritisation.…”

mentioning

confidence: 99%

Spatio-temporal model to estimate life expectancy and to detect unusual trends at the local authority level in England

Boulieri

Blangiardo

2020

BMJ Open

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ObjectivesTo estimate life expectancy at the local authority level and detect those areas that have a substantially low life expectancy after accounting for deprivation.DesignWe used registration data from the Office for National Statistics on mortality and population in England, by local authority, age group and socioeconomic deprivation decile, for both men and women over the period 2001–2018. We used a statistical model within the Bayesian framework to produce robust mortality rates, which were then transformed to life expectancy estimates. A rule based on exceedance probabilities was used to detect local authorities characterised by a low life expectancy among areas with a similar deprivation level from 2012 onwards.ResultsWe confirmed previous findings showing differences in the life expectancy gap between the most and least deprived areas from 2012 to 2018. We found variations in life expectancy trends across local authorities, and we detected a number of those with a low life expectancy when compared with others of a similar deprivation level.ConclusionsThere are factors other than deprivation that are responsible for low life expectancy in certain local authorities. Further investigation on the detected areas can help understand better the stalling of life expectancy which was observed from 2012 onwards and plan efficient public health policies.

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Developing Smart Social Services for Mending the Gap in Development Inequalities

Žganec

2021

European Social Work Education and Practice

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Neighborhoods and mortality in Sweden: Is deprivation best assessed nationally or regionally?

Cited by 5 publications

References 30 publications

Growing Income-Based Inequalities in Old-Age Life Expectancy in Sweden, 2006–2015

Growing Income-Based Inequalities in Old-Age Life Expectancy in Sweden, 2006–2015

Spatio-temporal model to estimate life expectancy and to detect unusual trends at the local authority level in England

Developing Smart Social Services for Mending the Gap in Development Inequalities

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