肯塔基州阿巴拉契亚地区和非阿巴拉契亚地区死亡率的差异。

Journal of Appalachian health Pub Date : 2023-12-01 eCollection Date: 2023-01-01 DOI:10.13023/jah.0503.04
Sonali S Salunkhe, Sahal Alzahrani, Beatrice Ugiliweneza
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引用次数: 0

摘要

导言:在阿片类药物流行的情况下,美国面临着一场重大的公共卫生危机,而美国的一些地区,如农村和阿巴拉契亚地区,比其他地区受到的影响更大。目的:本研究比较了肯塔基州不同地区(阿巴拉契亚非都会区、阿巴拉契亚都会区、非阿巴拉契亚非都会区和非阿巴拉契亚都会区)各县的全因、毒品和阿片类药物相关死亡率:方法:使用美国疾病控制与预防中心的广泛流行病学研究在线数据(CDC WONDER,2000-2019 年)中的年龄调整死亡率数据。县级人口和社会经济数据来自美国人口普查局的 2010 年美国社区调查。统计分析采用对数负二项回归模型:与肯塔基州的非阿巴拉契亚大都会地区(904/100,000)、非阿巴拉契亚非大都会地区(959/100,000)和阿巴拉契亚大都会地区(938/100,000)相比,阿巴拉契亚非大都会地区的全因死亡率(1,076/100,000)明显更高(p < .05)。在非阿巴拉契亚地区,非大都市的比率高于大都市(p = .0006)。在与毒品和阿片类药物相关的死亡率方面,非阿巴拉契亚地区和阿巴拉契亚地区内的非大都市和大都市死亡率相当。阿巴拉契亚地区的死亡率是该州非阿巴拉契亚地区的两倍(p < .05)。在阿巴拉契亚各县中,非大都会县的全因死亡率高于大都会县:这项研究的结果有助于医疗保健从业人员和公共卫生官员针对肯塔基州与毒品和阿片类药物相关的死亡率明显较高的地区制定干预措施。此外,与这些类型的死亡率相关的地理、人口和社会经济因素的信息也可用于设计针对目标人群社会人口的干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disparities in Mortality Between Appalachian and non-Appalachian Regions of Kentucky.

Introduction: In the opioid epidemic, the U.S. faces a significant public health crisis, with some areas of the country, such as rural and Appalachian regions, suffering more than others. The differential regional impact of the crisis in Kentucky-a state with both non-metropolitan/metropolitan and Appalachian/Non-Appalachian statuses-has not yet been documented despite such knowledge being essential to the success of overdose prevention efforts.

Purpose: This study compares all-cause, drug- and opioid-related mortality between counties in different regions of Kentucky: Appalachian non-metropolitan, Appalachian metropolitan, non-Appalachian non-metropolitan, and non-Appalachian metropolitan.

Methods: Age-adjusted mortality data from the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research (CDC WONDER, 2000-2019) were used. County-level demographic and socioeconomic data were obtained from the U.S. Census Bureau, 2010 American Community Survey. Statistical analyses were performed with negative binomial regression models with a log link.

Results: The Appalachian non-metropolitan region of Kentucky had a significantly higher (p < .05) all-cause mortality (1,076/100,000) compared to the state's non-Appalachian metropolitan (904/100,000), non-Appalachian non-metropolitan (959/100,000), and Appalachian metropolitan (938/100,000) regions. Within non-Appalachian regions, non-metropolitan rates were higher than metropolitan (p = .0006). For drug- and opioid-related mortality, non-metropolitan and metropolitan regions had comparable rates within non-Appalachia, as well as within Appalachia. Appalachian regions had twice the mortality rates of non-Appalachian regions of the state (p < .05). Among the Appalachian counties, non-metropolitan counties had higher all-cause mortality than metropolitan counties.

Implications: The findings from this study can help healthcare practitioners and public health officials develop interventions addressing drug-related and opioid-related mortality in Kentucky targeted to the regions where rates are significantly higher. Also, the information on geographic, demographic, and socioeconomic factors related to these types of mortality can be used to design interventions specific to the target population's socio-demographics.

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