Evidence map›Paper›PMID 17183009›Full record

ReviewJournal of epidemiology and community health2007

Do places affect the probability of death in Australia? A multilevel study of area-level disadvantage, individual-level socioeconomic position and all-cause mortality, 1998-2000.

Gavin Turrell, Anne Kavanagh, Glenn Draper, S V Subramanian

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of epidemiology and community health, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 40% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Residential Socio-Demographic Scoring and Child Growth.Paediatric and perinatal epidemiology · 2025
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  11. Quality of life and socio-dental impact among underprivileged Brazilian adolescents.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
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  18. A review of spatial methods in epidemiology, 2000-2010.Annual review of public health · 2012
    Review
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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

4 authors at 4 institutions in 2 countries.

Gavin TurrellSchool of Public Health, Queensland University of Technology, Victoria Park Road, Kelvin Grove, Brisbane, Queensland, Australia. g.turrell@qut.edu.au
Anne Kavanagh
Glenn Draper
S V Subramanian
Government of Western Australia Department of Health · AUHarvard University · USQueensland University of Technology · AUUniversity of Melbourne · AU

Funding

Asthma Disparities: Advancing Multilevel Causal ModelsK25HL081275 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUBRAMANIAN, SANKARAN VENKATA · 2005 to 2009
$717k
NHLBI NIH HHS 1 K25 HL081275-01NHLBI NIH HHS K25 HL081275
6 · The paper itself

Abstract

backgroundIn Australia, studies finding an association between area-level socioeconomic disadvantage and mortality are often based on aggregate-ecological designs which confound area-level and individual-level sources of socioeconomic variation. Area-level socioeconomic differences in mortality therefore may be an artefact of varying population compositions and not the characteristics of areas as such.

objectiveTo examine the associations between area-level disadvantage and all-cause mortality before and after adjustment for within-area variation in individual-level socioeconomic position (SEP) using unlinked census and mortality-register data in a multilevel context. Setting, participants and

designThe study covers the total Australian continent for the period 1998-2000 and is based on decedents aged 25-64 years (n = 43,257). The socioeconomic characteristics of statistical local areas (SLA, n = 1317) were measured using an index of relative socioeconomic disadvantage, and individual-level SEP was measured by occupation.

resultsLiving in a disadvantaged SLA was associated with higher all-cause mortality after adjustment for within-SLA variation in occupation. Death rates were highest for blue-collar workers and lowest among white-collar employees. Cross-level interactions showed no convincing evidence that SLA disadvantage modified the extent of inequality in mortality between the occupation groups.

conclusionsMultilevel analysis can be used to examine area variation in mortality using unlinked census and mortality data, therefore making it less necessary to use aggregate-ecological designs. In Australia, area-level and individual-level socioeconomic factors make an independent contribution to the probability of premature mortality. Policies and interventions to improve population health and reduce mortality inequalities should focus on places as well as people.

Indexed as

Cause of DeathResidence CharacteristicsSocial ClassAdultAustraliaFemaleHumansMaleMiddle AgedProbability

Identifiers

PMID17183009
PMCPMC2465593
OpenAlexW1559850850

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.