Evidence map›Paper›PMID 34010784›Full record

ArticleHealth & place2021

Spatial and temporal inequalities in mortality in the USA, 1968-2016.

Welcome Wami, David Walsh, Benjamin D Hennig, Gerry McCartney, Danny Dorling, Sandro Galea, Laura Sampson, Ruth Dundas

Abstract read
In one paragraph

Article in Health & place, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  3. Article
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  5. Article
  6. Intraurban Geographic and Socioeconomic Inequalities of Mortality in Four Cities in Colombia.International journal of environmental research and public health · 2023
    Article
  7. Article
  8. Article
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

8 authors.

Welcome WamiMRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Berkeley Square, 99 Berkeley Street, Glasgow, G3 7HR, Scotland, United Kingdom; Amsterdam Institute for Global Health and Development, AHTC, Tower C4, Paasheuvelweg 25, 1105 BP Amsterdam, Netherlands.
David WalshGlasgow Centre for Population Health, Olympia Building, 2-16 Orr Street, Bridgeton Cross, Glasgow G40 2QH, Scotland, United Kingdom. Electronic address: David.Walsh.2@glasgow.ac.uk.
Benjamin D HennigFaculty of Life and Environmental Sciences, University of Iceland, Askja, Sturlugata 7, 101 Reykjavík, Iceland; School of Geography & the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, England, United Kingdom.
Gerry McCartneyAdam Smith Business School, University of Glasgow, Glasgow G12 8QQ, Scotland, United Kingdom.
Danny DorlingSchool of Geography & the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, England, United Kingdom.
Sandro GaleaSchool of Public Health, Boston University, 715 Albany Street - Talbot 301, Boston, MA 02118, USA.
Laura SampsonSchool of Public Health, Boston University, 715 Albany Street - Talbot 301, Boston, MA 02118, USA; Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02118, USA.
Ruth DundasMRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Berkeley Square, 99 Berkeley Street, Glasgow, G3 7HR, Scotland, United Kingdom.

Funding

Chief Scientist Office SPHSU13Chief Scientist Office SPHSU17Medical Research Council MC_UU_00022/2Medical Research Council MC_UU_12017/13
6 · The paper itself

Abstract

Previous UK and European research has highlighted important variations in mortality between populations after adjustment for key determinants such as poverty and deprivation. The aim here was to establish whether similar populations could be identified in the US, and to examine changes over time. We employed Poisson regression models to compare county-level mortality with national rates between 1968 and 2016, adjusting for poverty, education, race (a proxy for exposure to racism), population change and deindustrialisation. Results are presented by means of population-weighted cartograms, and highlight widening spatial inequalities in mortality over time, including an urban to rural, and south-westward, shift in areas with the highest levels of such unexplained 'excess' mortality. There is a need to understand the causes of the excess in affected communities, given that it persists after adjustment for such a broad range of important health determinants.

Indexed as

RacismRural PopulationHumansMortalityPovertySocioeconomic FactorsUnited StatesDeprivation‘Excess mortality’PovertyUSA

Identifiers

PMID34010784
PMCPMC7613337

What OpenQuestion holds

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Registered trials

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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.