Evidence map›Paper›PMID 29101149›Full record

ArticleBMJ open2017

Quantifying the role of modifiable risk factors in the differences in cardiovascular disease mortality rates between metropolitan and rural populations in Australia: a macrosimulation modelling study.

Laura Alston, Karen Louise Peterson, Jane P Jacobs, Steven Allender, Melanie Nichols

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Sustaining Health Promotion in Australian Supermarkets: Qualitative Perspectives From the Reach for the Stars Programme.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

Laura AlstonFaculty of Health, Global Obesity Centre, Deakin University, Geelong, Victoria, Australia.
Karen Louise PetersonFaculty of Health, Global Obesity Centre, Deakin University, Geelong, Victoria, Australia.
Jane P JacobsFaculty of Health, Global Obesity Centre, Deakin University, Geelong, Victoria, Australia.
Steven AllenderFaculty of Health, Global Obesity Centre, Deakin University, Geelong, Victoria, Australia.
Melanie NicholsFaculty of Health, Global Obesity Centre, Deakin University, Geelong, Victoria, Australia.
Deakin University · AU

Funding

Systems Science to Guide Whole-of-Community Childhood Obesity InterventionsR01HL115485 · NHLBI · HARVARD PILGRIM HEALTH CARE, INC. · PI ECONOMOS, CHRISTINA D, HAMMOND, ROSS A. · 2013 to 2017
$3.4M
NHLBI NIH HHS R01 HL115485
6 · The paper itself

Abstract

objectivesThe study aimed (1) to quantify differences in modifiable risk factors between urban and rural populations, and (2) to determine the number of rural cardiovascular disease (CVD) and ischaemic heart disease (IHD) deaths that could be averted or delayed if risk factor levels in rural areas were equivalent to metropolitan areas.

settingNational population estimates, risk factor prevalence, CVD and IHD deaths data were analysed by rurality using a macrosimulation Preventable Risk Integrated Model for chronic disease risk. Uncertainty analysis was conducted using a Monte Carlo simulation of 10 000 iterations to calculate 95% credible intervals (CIs).

participantsNational data sets of men and women over the age of 18 years living in urban and rural Australia.

resultsIf people living in rural Australia had the same levels of risk factors as those in metropolitan areas, approximately 1461 (95% CI 1107 to 1791) deaths could be delayed from CVD annually. Of these CVD deaths, 793 (95% CI 506 to 1065) would be from IHD. The IHD mortality gap between metropolitan and rural populations would be reduced by 38.2% (95% CI 24.4% to 50.6%).

conclusionsA significant portion of deaths from CVD and IHD could be averted with improvements in risk factors; more than one-third of the excess IHD deaths in rural Australia were attributed to differences in risk factors. As much as two-thirds of the increased IHD mortality rate in rural areas could not be accounted for by modifiable risk factors, however, and this requires further investigation.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionAustraliaFemaleHumansMaleMiddle AgedMyocardial IschemiaRisk FactorsRural PopulationSelf ReportSex DistributionUrban Populationcoronary heart diseasepreventive medicinepublic health

Identifiers

PMID29101149
PMCPMC5695309
OpenAlexW2766606356

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.