Evidence map›Paper›PMID 30928935›Full record

ArticleBMJ open2019

Does ethnic diversity explain intra-UK variation in mortality? A longitudinal cohort study.

Lauren Schofield, David Walsh, Zhiqiang Feng, Duncan Buchanan, Chris Dibben, Colin Fischbacher, Gerry McCartney, Rosalia Munoz-Arroyo, Bruce Whyte

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lauren SchofieldInformation Services Division, Edinburgh, UK.
David WalshGlasgow Centre for Population Health, Glasgow, UK.
Zhiqiang FengUniversity of Edinburgh, Edinburgh, UK.
Duncan BuchananISD Scotland, Edinburgh, UK.
Chris DibbenUniversity of Edinburgh, Edinburgh, UK.
Colin FischbacherInformation Services Division, Edinburgh, UK.
Gerry McCartneyNHS Health Scotland, Glasgow, UK.
Rosalia Munoz-ArroyoInformation Services Division, Edinburgh, UK.
Bruce WhyteGlasgow Centre for Population Health, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIt has been proposed that part of the explanation for higher mortality in Scotland compared with England and Wales, and Glasgow compared with other UK cities, relates to greater ethnic diversity in England and Wales. We sought to assess the extent to which this excess was attenuated by adjusting for ethnicity. We additionally explored the role of country of birth in any observed differences.

settingScotland and England and Wales; Glasgow and Manchester.

participantsWe used the Scottish Longitudinal Study and the Office for National Statistics Longitudinal Study of England and Wales (2001-2010). Participants (362 491 in total) were aged 35-74 years at baseline. PRIMARY OUTCOME MEASURES: Risk of all-cause mortality between 35 and 74 years old in Scotland and England and Wales, and in Glasgow and Manchester, adjusting for age, gender, socioeconomic position (SEP), ethnicity and country of birth.

results18% of the Manchester sample was non-White compared with 3% in Glasgow (England and Wales: 10.4%; Scotland: 1.2%). The mortality incidence rate ratio was 1.33 (95% CI 1.13 to 1.56) in Glasgow compared with Manchester. This reduced to 1.25 (1.07 to 1.47) adjusting for SEP, and to 1.20 (1.02 to 1.42) adjusting for ethnicity and country of birth. For Scotland versus England and Wales, the corresponding figures were 18% higher mortality, reducing to 10%, and then 7%. Non-Whites born outside the UK had lower mortality. In the Scottish samples only, non-Whites born in the UK had significantly higher mortality than Whites born in the UK.

conclusionsThe research supports the hypothesis that ethnic diversity and migration from outside UK play a role in explaining Scottish excess mortality. In Glasgow especially, however, a large excess remains: thus, previously articulated policy implications (addressing poverty, vulnerability and inequality) still apply.

Indexed as

MortalityAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedSocioeconomic FactorsUnited KingdomWhite Peopleepidemiologypublic healthsocial medicine

Identifiers

PMID30928935
PMCPMC6475238

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.