Evidence map›Paper›PMID 40836234›Full record

ArticleBMC public health2025

Transport practices of Māori Kaumātua (Indigenous elders) in Aotearoa New Zealand: baseline findings from prospective older adults transport and health study (NZPATHS).

Sarah Colhoun, Rebecca McLean, Claire Cameron, Sue Crengle

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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.

Sarah ColhounDepartment of Population Health, University of Otago Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
Rebecca McLeanDepartment of Population Health, University of Otago Christchurch, PO Box 4345, Christchurch, 8140, New Zealand.
Claire CameronBiostatistics Centre, Division of Health Sciences, University of Otago, PO Box 56, Dunedin, New Zealand.
Sue CrengleNgāi Tahu Māori Health Research Unit, University of Otago, PO Box 56, Dunedin, 9054, New Zealand. sue.crengle@otago.ac.nz.

Funding

Health Research Council of New Zealand HRC15/261:2015-2018
6 · The paper itself

Abstract

backgroundTransport is fundamental to support older Māori (kaumātua) wellbeing, facilitating ageing in place, social inclusion and access to cultural sites and practices - there is minimal research on transport practices of Indigenous populations and no published quantitative studies on the transport practices of kaumātua. Considering this data gap, we describe kaumātua transport practices and driving cessation planning in the context of a sample of older drivers from Aotearoa New Zealand.

methodsCross-sectional descriptive analysis of baseline data from New Zealand Prospective Older Adult Transport and Health Study (NZPATHS) of 1181 older drivers (65-96 years), 15% of whom identified as Māori. Data were gathered via computer assisted structured telephone interviews, including socio-demographic, health, transport and driving practice measures. Statistical tests performed were Mann Whitney, chi-square and Fisher's exact tests, to provide contextual ethnic comparisons between categorical variables.

resultsParticipants reported transport modes used in the previous three months. Similarly to non- Māori, kaumātua (driving at baseline) relied heavily on the private car for transport, as drivers (solely, 99%; or with passengers, 90%) and as passengers (87%). Compared to non-Māori, fewer Māori walked for transport (41% vs. 53%), and fewer used public transport (18% vs. 26%, bus/tram; 10% vs. 16%, train). Few kaumātua (4%) had made plans for not driving, a smaller proportion than for non-Māori (11%).

conclusionsKaumātua rely heavily on private cars for transport, yet when they can no longer drive, this dependence may present barriers to daily living and to maintaining cultural practices, health, and wellbeing. Increased transport infrastructure including public and community transport is needed to allow transport options beyond driving. Transport stakeholders must incorporate wider perspectives, including Indigenous peoples' voices. This study provides data that can be used to inform and support improvements within the transport sector that reduce transport and health disadvantage and inequities.

Indexed as

Automobile DrivingTransportationAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMaori PeopleNew ZealandProspective StudiesAgeingDeterminants of healthHealth equityIndigenousKaumātuaMāoriTransport

Identifiers

PMID40836234
PMCPMC12366200

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LicenceCC BY-NC-ND
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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.