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。

IF 1.9 4区 医学 Q2 NURSING Australian Journal of Rural Health Pub Date : 2024-03-26 DOI:10.1111/ajr.13098
Kelly Trearty PhD, Brendan Bunting PhD, John Mallett PhD
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引用次数: 0

摘要

导言和目标:与其他任何职业相比,农民都会经历一系列特殊的危险,从而增加了他们的死亡风险。本研究假设北爱尔兰(NIs)农业饱和区的死亡风险高于非农业区:设计:从北爱尔兰邻里服务(NINIS)在线存储库中下载人口普查和农场普查信息,以编制三个基于死亡率的数据集(2001 年、2011 年、汇总数据集)。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。这项研究分析了北爱尔兰的所有 582 个行政区,其中包括 2001 年和 2011 年的全国人口:利用路径分析研究了两个普查年份(2001 年;2011 年)内与死亡率相关的直接和间接路径,同时测试了不同普查年份(集合数据集)之间的不变性路径。病房层面的结果提供了外生变量通过三/四个内生变量影响死亡率的证据:(i) 直接效应(年龄),(ii) 间接效应总和(年龄、男性、独居、农业利润和贫困),(iii) 总效应(年龄、男性、独居和贫困)。多组结果交叉验证了这些与死亡率有关的因果关系:本研究表明,耕作强度评分、耕作利润和社会人口统计对某一行政区死亡率风险的影响取决于该地区的具体社会环境特征。与早先的地区级研究一致,研究结果支持这样的综合解释,即一个行政区内较高水平的农业活动会增加北爱尔兰这些行政区内的死亡风险。这是一项至关重要的研究,有助于今后制定新的战略和更新现行政策,从而在地方一级带来重大的死亡风险变化。
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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.

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来源期刊
Australian Journal of Rural Health
Australian Journal of Rural Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.30
自引率
16.70%
发文量
122
审稿时长
12 months
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.
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