Evidence map›Paper›PMID 32151824›Full record

ArticlePublic health2020

Ethnic variations in falls and road traffic injuries resulting in hospitalisation or death in Scotland: the Scottish Health and Ethnicity Linkage Study.

G Cézard, L Gruer, M Steiner, A Douglas, C Davis, D Buchanan, S V Katikireddi, A Millard, A Sheikh, R Bhopal

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In one paragraph

Article in Public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 6 institutions in 1 country.

G CézardSchool of Geography and Sustainable Development, University of St Andrews, St Andrews, UK; Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK. Electronic address: gc79@st-andrews.ac.uk.
L GruerUsher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
M SteinerEnvironmental & Occupational Medicine, Section of Population Health, University of Aberdeen, Aberdeen, UK.
A DouglasUsher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
C DavisInformation Services Division (ISD), NHS National Services Scotland, Edinburgh, UK.
D BuchananInformation Services Division (ISD), NHS National Services Scotland, Edinburgh, UK.
S V KatikireddiMRC Social & Public Health Sciences Unit, Evaluation of Social Interventions Programme, University of Glasgow, Glasgow, UK.
A MillardNHS Health Scotland, Directorate of Public Health Science, Glasgow, UK.
A SheikhUsher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
R BhopalUsher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
University of Edinburgh · GBNational Health Service Scotland · GBMRC/CSO Social and Public Health Sciences Unit · GBPublic Health Scotland · GBUniversity of Aberdeen · GBUniversity of St Andrews · GB

Funding

Chief Scientist Office CZH/4/878Chief Scientist Office SCAF/15/02Chief Scientist Office SPHSU17Medical Research Council MC_UU_00022/2Medical Research Council MC_UU_12017/13Medical Research Council MC_UU_12017/15
6 · The paper itself

Abstract

objectivesTo investigate ethnic differences in falls and road traffic injuries (RTIs) in Scotland. STUDY

designA retrospective cohort of 4.62 million people, linking the Scottish Census 2001, with self-reported ethnicity, to hospitalisation and death records for 2001-2013.

methodsWe selected cases with International Classification of Diseases-10 diagnostic codes for falls and RTIs. Using Poisson regression, age-adjusted risk ratios (RRs, multiplied by 100 as percentages) and 95% confidence intervals (CIs) were calculated by sex for 10 ethnic groups with the White Scottish as reference. We further adjusted for country of birth and socio-economic status (SES).

resultsDuring about 49 million person-years, there were 275,995 hospitalisations or deaths from fall-related injuries and 43,875 from RTIs. Compared with the White Scottish, RRs for falls were higher in most White and Mixed groups, e.g., White Irish males (RR: 131; 95% CI: 122-140) and Mixed females (126; 112-143), but lower in Pakistani males (72; 64-81) and females (72; 63-82) and African females (79; 63-99). For RTIs, RRs were higher in other White British males (161; 147-176) and females (156; 138-176) and other White males (119; 104-137) and females (143; 121-169) and lower in Pakistani females (74; 57-98). The ethnic variations differed by road user type, with few cases among non-White motorcyclists and non-White female cyclists. The RRs were minimally altered by adjustment for country of birth or SES.

conclusionWe found important ethnic variations in injuries owing to falls and RTIs, with generally lower risks in non-White groups. Culturally related differences in behaviour offer the most plausible explanation, including variations in alcohol use. The findings do not point to the need for new interventions in Scotland at present. However, as the ethnic mix of each country is unique, other countries could benefit from similar data linkage-based research.

Indexed as

Accidental FallsAccidents, TrafficAdolescentAdultAgedCohort StudiesEthnicityFemaleHospitalizationHumansMaleMiddle AgedOdds RatioRetrospective StudiesScotlandSocial ClassAccidentsEthnicityFallsRoad traffic injuriesScotland

Identifiers

PMID32151824
PMCPMC7294220
OpenAlexW3004595708

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LicenceCC BY
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Registered trials

None linked

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.