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Data report on three datasets: Mortality patterns between agricultural and non-agricultural ward areas

The health of the farming community in Northern Ireland (NI) requires further research as previous mortality studies have reported contradictory results regarding farmers’ health outcomes compared against other occupations and the general population. This study collated the NINIS area-level farm cen...

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Autores principales: Trearty, Kelly, Bunting, Brendan, Mallett, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851396/
https://www.ncbi.nlm.nih.gov/pubmed/36685977
http://dx.doi.org/10.3389/fgene.2022.953167
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author Trearty, Kelly
Bunting, Brendan
Mallett, John
author_facet Trearty, Kelly
Bunting, Brendan
Mallett, John
author_sort Trearty, Kelly
collection PubMed
description The health of the farming community in Northern Ireland (NI) requires further research as previous mortality studies have reported contradictory results regarding farmers’ health outcomes compared against other occupations and the general population. This study collated the NINIS area-level farm census with the population census information across 582 non-overlapping wards of NI to compile three mortality datasets (2001, 2011, and pooled dataset) (NISRA 2019). These datasets allow future researchers to investigate the influence of demographic, farming, and economic predictors on all-cause mortality at the ward level. The 2001 and 2011 mortality datasets were compiled for cross-sectional analyses and subsequently pooled for longitudinal analyses. Findings from these datasets will provide evidence of the influence of Farming Intensity scores influence on death risk within the wards for future researchers to utilise. This data report will aid in the understanding of socio-ecological variables’ additive contribution to the risk of death at the ward level within NI. This data report is of interest to the One Health research community as it standardises the environment−human−animal data to pave the way towards a new One Health research paradigm. For example, future researchers can use this nationally representative data to investigate whether agriculturally saturated wards have a higher mortality risk than non-agriculturally based wards of NI.
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spelling pubmed-98513962023-01-20 Data report on three datasets: Mortality patterns between agricultural and non-agricultural ward areas Trearty, Kelly Bunting, Brendan Mallett, John Front Genet Genetics The health of the farming community in Northern Ireland (NI) requires further research as previous mortality studies have reported contradictory results regarding farmers’ health outcomes compared against other occupations and the general population. This study collated the NINIS area-level farm census with the population census information across 582 non-overlapping wards of NI to compile three mortality datasets (2001, 2011, and pooled dataset) (NISRA 2019). These datasets allow future researchers to investigate the influence of demographic, farming, and economic predictors on all-cause mortality at the ward level. The 2001 and 2011 mortality datasets were compiled for cross-sectional analyses and subsequently pooled for longitudinal analyses. Findings from these datasets will provide evidence of the influence of Farming Intensity scores influence on death risk within the wards for future researchers to utilise. This data report will aid in the understanding of socio-ecological variables’ additive contribution to the risk of death at the ward level within NI. This data report is of interest to the One Health research community as it standardises the environment−human−animal data to pave the way towards a new One Health research paradigm. For example, future researchers can use this nationally representative data to investigate whether agriculturally saturated wards have a higher mortality risk than non-agriculturally based wards of NI. Frontiers Media S.A. 2023-01-04 /pmc/articles/PMC9851396/ /pubmed/36685977 http://dx.doi.org/10.3389/fgene.2022.953167 Text en Copyright © 2023 Trearty, Bunting and Mallett. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Trearty, Kelly
Bunting, Brendan
Mallett, John
Data report on three datasets: Mortality patterns between agricultural and non-agricultural ward areas
title Data report on three datasets: Mortality patterns between agricultural and non-agricultural ward areas
title_full Data report on three datasets: Mortality patterns between agricultural and non-agricultural ward areas
title_fullStr Data report on three datasets: Mortality patterns between agricultural and non-agricultural ward areas
title_full_unstemmed Data report on three datasets: Mortality patterns between agricultural and non-agricultural ward areas
title_short Data report on three datasets: Mortality patterns between agricultural and non-agricultural ward areas
title_sort data report on three datasets: mortality patterns between agricultural and non-agricultural ward areas
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851396/
https://www.ncbi.nlm.nih.gov/pubmed/36685977
http://dx.doi.org/10.3389/fgene.2022.953167
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