Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Modelling the Relationship between Rainfall and Mental Health Using Different Spatial and Temporal Units

Bibliographic Data

ID15500101
AuthorsMatthew Yap (0000-0002-5097-3893, The University of Western Australia), Matthew Tuson (0000-0002-3135-3672, The University of Western Australia), Berwin Turlach (0000-0001-8795-471X, The University of Western Australia), Bryan Boruff (0000-0001-6693-0671, The University of Western Australia), David Whyatt (0000-0002-6905-1979, The University of Western Australia, corresponding author)
Year2021
Volume18
Issue3
Pages1312-1312
Publication date2021-02-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18031312
PMID33535674
OpenAlexW3127159799
LanguageEN
References cited28

Drought is thought to impact upon the mental health of agricultural communities, but studies of this relationship have reported inconsistent results. A source of inconsistency could be the aggregation of data by a single spatiotemporal unit of analysis, which induces the modifiable areal and temporal unit problems. To investigate this, mental health-related emergency department (MHED) presentations among residents of the Wheat Belt region of Western Australia, between 2002 and 2017, were examined. Average daily rainfall was used as a measure of drought. Associations between MHED presentations and rainfall were estimated based on various spatial aggregations of underlying data, at multiple temporal windows. Wide variation amongst results was observed. Despite this, two key features were found: Associations between MHED presentations and rainfall were generally positive when rainfall was measured in summer months (rate ratios up to 1.05 per 0.5 mm of daily rainfall) and generally negative when rainfall was measured in winter months (rate ratios as low as 0.96 per 0.5 mm of daily rainfall). These results demonstrate that the association between drought and mental health is quantifiable; however, the effect size is small and varies depending on the spatial and temporal arrangement of the underlying data. To improve understanding of this association, more studies should be undertaken with longer time spans and examining specific mental health outcomes, using a wide variety of spatiotemporal units

Agriculture · Association (psychology · Biology · Geography · Mental health · Physical geography · Spatial variability · Statistics · Temporal scales · Unit (ring theory · Climate Change and Health Impacts · Demography · Environmental Science · Food Security and Health in Diverse Populations · Health disparities and outcomes · Mathematics · Psychology · Ecology

  • Information bias in health research

    Open Access•Alaa Althubaiti•Journal of Multidisciplinary…•2016

  • Bayesian image restoration, with two applications in spatial statistics

    Open Access•Julian Besag, Jeremy York et al.•Annals of the Institute of…•1991

  • Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations

    Open Access•Håvard Rue, Finn Lindgren et al.•Journal of the Royal Statistical…•2009

  • Time series regression studies in environmental epidemiology

    Krishnan Bhaskaran, Antonio Gasparrini et al.•International Journal of…•2013

  • Understanding

    Donald A Wilhite, Michael H Glantz•Water International•1985

  • The effect of socioeconomic factors on crime rates in Romania

    Open Access•Oana‐ramona Lobonţ, Oana-Ramona Lobonţ et al.•Economic Research-Ekonomska…•2017

  • Maintaining Existing Zoning Systems Using Automated Zone-Design Techniques

    Open Access•Samantha Cocking, Samantha Cockings et al.•Environment and Planning A…•2011

  • The Impact of Drought on Mental Health in Rural and Regional Australia

    Open Access•Ben Edward, Ben Edwards et al.•Social Indicators Research•2015

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae