Evidence map›Paper›PMID 36841876›Full record

ArticleScientific data2023

Policy relevant health related liveability indicator datasets for addresses in Australia's 21 largest cities.

Carl Higgs, Melanie Lowe, Paula Hooper, Suzanne Mavoa, Jonathan Arundel, Lucy Gunn, Koen Simons, Billie Giles-Corti

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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.

Carl HiggsRMIT University, Centre for Urban Research, Melbourne, 3000, Australia. carl.higgs@rmit.edu.au.ORCID 0000-0002-5903-9095
Melanie LoweRMIT University, Centre for Urban Research, Melbourne, 3000, Australia.ORCID 0000-0002-9703-1895
Paula HooperAustralian Urban Design Research Centre, University of Western Australia, Perth, 6009, Australia.
Suzanne MavoaMelbourne School of Population & Global Health, University of Melbourne, Parkville, 3010, Australia.
Jonathan ArundelRMIT University, Centre for Urban Research, Melbourne, 3000, Australia.
Lucy GunnRMIT University, Centre for Urban Research, Melbourne, 3000, Australia.
Koen SimonsMelbourne School of Population & Global Health, University of Melbourne, Parkville, 3010, Australia.ORCID 0000-0002-6534-2277
Billie Giles-CortiRMIT University, Centre for Urban Research, Melbourne, 3000, Australia.

Funding

Department of Health | National Health and Medical Research Council (NHMRC) 1061404Department of Health | National Health and Medical Research Council (NHMRC) 1107672Department of Health | National Health and Medical Research Council (NHMRC) 9100003
6 · The paper itself

Abstract

Measuring and monitoring the spatial distribution of liveability is crucial to ensure that implemented urban and transport planning decisions support health and wellbeing. Spatial liveability indicators can be used to ensure these decisions are effective, equitable and tracked across time. The 2018 Australian National Liveability Study datasets comprise a suite of policy-relevant health-related spatial indicators of local neighbourhood liveability and amenity access estimated for residential address points and administrative areas across Australia's 21 most populous cities. The indicators and measures encompass access to community and health services, social infrastructure, employment, food, housing, public open space, transportation, walkability and overall liveability. This national 'baseline' liveability indicators dataset for residential address points and areas can be further linked with surveys containing geocoded participant locations, as well as Census data for areas from the Australian Statistical Geography Standard. The datasets will be of interest to planners, policy makers and researchers interested in modelling and mapping the spatial distribution of urban environmental exposures and their relationship with health and other outcomes.

Identifiers

PMID36841876
PMCPMC9968286

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.