Kelly Trearty PhD, Brendan Bunting PhD, John Mallett PhD
{"title":"利用十年一次的农场和人口普查,评估社会人口和农业活动对区一级死亡率模式的影响。","authors":"Kelly Trearty PhD, Brendan Bunting PhD, John Mallett PhD","doi":"10.1111/ajr.13098","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Introduction and Objective</h3>\n \n <p>Farmers experience a specific set of unique dangers, which increases their risk of mortality compared with any other occupation. This study hypothesised that Northern Ireland's (NIs) agriculturally saturated Wards have a higher risk of mortality compared against non-agriculturally based Wards.</p>\n </section>\n \n <section>\n \n <h3> Design</h3>\n \n <p>The Population Census and Farm Census information were downloaded from the Northern Ireland Neighbourhood Service (NINIS) online depository to compile three mortality-based data sets (2001, 2011, pooled data sets). Assessing the impact of socio-demographics and farming activity on Ward-level mortality patterns using farm and population decennial censuses. This study analysed all 582 Ward areas of NI, which enclosed the entire populace of the country in 2001 and 2011.</p>\n </section>\n \n <section>\n \n <h3> Findings</h3>\n \n <p>Path analysis was utilised to examine direct and indirect paths linked with mortality within two census years (2001; 2011), alongside testing pathways for invariance between census years (pooled data set). Ward-level results provided evidence for exogenous variables to mortality operating through three/four endogenous variables via: (i) <i>direct effects</i> (age), (ii) <i>summed indirect effects</i> (age; males; living alone; farming profit; and deprivation) and (iii) <i>total effects</i> (age; males; living alone; and deprivation). Multi-group results cross-validated these cause-and-effect relationships relating to mortality.</p>\n </section>\n \n <section>\n \n <h3> Discussion and Conclusion</h3>\n \n <p>This study demonstrated that <i>farming intensity scores, farming profits and socio-demographics'</i> influence on <i>mortality</i> risk in a Ward were dependent on the specific social-environmental characteristics within that area. In line with earlier area level research, results support the aggregated interpretation that higher levels of farming activity within a Ward increase the risk of mortality within those Wards of NI. This was an essential study to enable future tailoring of new strategies and upgrading of current policies to bring about significant mortality risk change at local level.</p>\n </section>\n </div>","PeriodicalId":55421,"journal":{"name":"Australian Journal of Rural Health","volume":"32 2","pages":"365-376"},"PeriodicalIF":1.9000,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ajr.13098","citationCount":"0","resultStr":"{\"title\":\"Assessing the impact of socio-demographics and farming activity on ward-level mortality patterns using farm and population decennial censuses\",\"authors\":\"Kelly Trearty PhD, Brendan Bunting PhD, John Mallett PhD\",\"doi\":\"10.1111/ajr.13098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Introduction and Objective</h3>\\n \\n <p>Farmers experience a specific set of unique dangers, which increases their risk of mortality compared with any other occupation. This study hypothesised that Northern Ireland's (NIs) agriculturally saturated Wards have a higher risk of mortality compared against non-agriculturally based Wards.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Design</h3>\\n \\n <p>The Population Census and Farm Census information were downloaded from the Northern Ireland Neighbourhood Service (NINIS) online depository to compile three mortality-based data sets (2001, 2011, pooled data sets). Assessing the impact of socio-demographics and farming activity on Ward-level mortality patterns using farm and population decennial censuses. This study analysed all 582 Ward areas of NI, which enclosed the entire populace of the country in 2001 and 2011.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Findings</h3>\\n \\n <p>Path analysis was utilised to examine direct and indirect paths linked with mortality within two census years (2001; 2011), alongside testing pathways for invariance between census years (pooled data set). Ward-level results provided evidence for exogenous variables to mortality operating through three/four endogenous variables via: (i) <i>direct effects</i> (age), (ii) <i>summed indirect effects</i> (age; males; living alone; farming profit; and deprivation) and (iii) <i>total effects</i> (age; males; living alone; and deprivation). Multi-group results cross-validated these cause-and-effect relationships relating to mortality.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Discussion and Conclusion</h3>\\n \\n <p>This study demonstrated that <i>farming intensity scores, farming profits and socio-demographics'</i> influence on <i>mortality</i> risk in a Ward were dependent on the specific social-environmental characteristics within that area. In line with earlier area level research, results support the aggregated interpretation that higher levels of farming activity within a Ward increase the risk of mortality within those Wards of NI. This was an essential study to enable future tailoring of new strategies and upgrading of current policies to bring about significant mortality risk change at local level.</p>\\n </section>\\n </div>\",\"PeriodicalId\":55421,\"journal\":{\"name\":\"Australian Journal of Rural Health\",\"volume\":\"32 2\",\"pages\":\"365-376\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ajr.13098\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Australian Journal of Rural Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ajr.13098\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australian Journal of Rural Health","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ajr.13098","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
Assessing the impact of socio-demographics and farming activity on ward-level mortality patterns using farm and population decennial censuses
Introduction and Objective
Farmers experience a specific set of unique dangers, which increases their risk of mortality compared with any other occupation. This study hypothesised that Northern Ireland's (NIs) agriculturally saturated Wards have a higher risk of mortality compared against non-agriculturally based Wards.
Design
The Population Census and Farm Census information were downloaded from the Northern Ireland Neighbourhood Service (NINIS) online depository to compile three mortality-based data sets (2001, 2011, pooled data sets). Assessing the impact of socio-demographics and farming activity on Ward-level mortality patterns using farm and population decennial censuses. This study analysed all 582 Ward areas of NI, which enclosed the entire populace of the country in 2001 and 2011.
Findings
Path analysis was utilised to examine direct and indirect paths linked with mortality within two census years (2001; 2011), alongside testing pathways for invariance between census years (pooled data set). Ward-level results provided evidence for exogenous variables to mortality operating through three/four endogenous variables via: (i) direct effects (age), (ii) summed indirect effects (age; males; living alone; farming profit; and deprivation) and (iii) total effects (age; males; living alone; and deprivation). Multi-group results cross-validated these cause-and-effect relationships relating to mortality.
Discussion and Conclusion
This study demonstrated that farming intensity scores, farming profits and socio-demographics' influence on mortality risk in a Ward were dependent on the specific social-environmental characteristics within that area. In line with earlier area level research, results support the aggregated interpretation that higher levels of farming activity within a Ward increase the risk of mortality within those Wards of NI. This was an essential study to enable future tailoring of new strategies and upgrading of current policies to bring about significant mortality risk change at local level.
期刊介绍:
The Australian Journal of Rural Health publishes articles in the field of rural health. It facilitates the formation of interdisciplinary networks, so that rural health professionals can form a cohesive group and work together for the advancement of rural practice, in all health disciplines. The Journal aims to establish a national and international reputation for the quality of its scholarly discourse and its value to rural health professionals. All articles, unless otherwise identified, are peer reviewed by at least two researchers expert in the field of the submitted paper.