Evidence map›Paper›PMID 38749164›Full record

ArticleAustralian and New Zealand journal of public health2024

A comparison of content from across contemporary Australian population health surveys.

Branislava Godic, Selin Akaraci, Rajith Vidanaarachchi, Kerry Nice, Sachith Seneviratne, Suzanne Mavoa, Ruth Hunter, Leandro Garcia, Mark Stevenson, Jasper Wijnands and 1 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Australian and New Zealand journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Branislava GodicPhoenix Australia Centre for Posttraumatic Mental Health, Department of Psychiatry, University of Melbourne, Melbourne, Australia. Electronic address: b.godic@unimelb.edu.au.
Selin AkaraciCentre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK.
Rajith VidanaarachchiFaculty of Architecture, Building, and Planning, University of Melbourne, Melbourne, Australia; Faculty of Engineering and Information Technology, University of Melbourne, Melbourne, Australia.
Kerry NiceFaculty of Architecture, Building, and Planning, University of Melbourne, Melbourne, Australia.
Sachith SeneviratneFaculty of Architecture, Building, and Planning, University of Melbourne, Melbourne, Australia; Faculty of Engineering and Information Technology, University of Melbourne, Melbourne, Australia.
Suzanne MavoaSchool of Population and Global Health, University of Melbourne, Melbourne, Australia; Murdoch Children's Research Institute (MCRI), Parkville, Victoria, Australia.
Ruth HunterCentre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK.
Leandro GarciaCentre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK.
Mark StevensonFaculty of Architecture, Building, and Planning, University of Melbourne, Melbourne, Australia; Faculty of Engineering and Information Technology, University of Melbourne, Melbourne, Australia.
Jasper WijnandsRoyal Netherlands Meteorological Institute (KNMI), de Bilt, the Netherlands.
Jason ThompsonPhoenix Australia Centre for Posttraumatic Mental Health, Department of Psychiatry, University of Melbourne, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAssociations between place and population health are of interest to researchers and policymakers. The objective of this paper is to explore, summarise and compare content across contemporary Australian geo-referenced population health survey data sets.

methodsA search for recent (2015 or later) population health surveys from within Australia containing geographic information from participants was conducted. Survey response frames were analysed and categorised based on demographic, risk factor and disease-related characteristics. Analysis using interactive Sankey diagrams shows the extent of content overlap and differences between population health surveys in Australia.

resultsThirteen Australian geo-referenced population health survey data sets were identified. Information captured across surveys was inconsistent as was the spatial granularity of respondent information. Health and demographic features most frequently captured were symptoms, signs and clinical findings from the International Statistical Classification of Diseases and Related Health Problems version 11, employment, housing, income, self-rated health and risk factors, including alcohol consumption, diet, medical treatments, physical activity and weight-related questions. Sankey diagrams were deployed online for use by public health researchers.

conclusionsIdentifying the relationship between place and health in Australia is made more difficult by inconsistencies in information collected across surveys deployed in different regions in Australia. IMPLICATIONS FOR PUBLIC HEALTH: Public health research investigating place and health involves a vast and inconsistent patchwork of information within and across states, which may impact broad-scale research questions. The tools developed here assist public health researchers to identify surveys suitable for their research queries related to place and health.

Indexed as

Health SurveysPopulation HealthAdultAustraliaFemaleHealth StatusHumansMaleMiddle AgedPublic HealthRisk FactorsSocioeconomic Factorshealth data setshealth policypublic healthpublic health research

Identifiers

PMID38749164
PMCPMC11216027

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.