■在阿片类药物流行中,美国面临重大的公共卫生危机,在这个国家的一些地区,例如农村和阿巴拉契亚地区,比别人更痛苦。尽管这种知识对于预防过量工作的成功至关重要,但尚未记录肯塔基州的危机对地区的不同影响。肯塔基州是一个具有非大都市/大都市和阿巴拉契亚/非阿巴拉契亚州的州。
■这项研究比较了所有原因,肯塔基州不同地区各县之间与毒品和阿片类药物相关的死亡率:阿巴拉契亚非大都市,阿巴拉契亚大都市,非阿巴拉契亚非大都市,和非阿巴拉契亚大都市。
■疾病控制和预防中心用于流行病学研究的广泛在线数据(CDCWONDER,2000-2019年)被使用。县级人口和社会经济数据是从美国人口普查局获得的,2010年美国社区调查。使用具有对数链接的负二项回归模型进行统计分析。
■肯塔基州的阿巴拉契亚非大都市地区的全因死亡率(1,076/100,000)明显高于该州的非阿巴拉契亚大都市(904/100,000),非阿巴拉契亚非大都市(959/100,000),和阿巴拉契亚大都市(938/100,000)地区。在非阿巴拉契亚地区,非大都市率高于大都市率(p=.0006)。与药物和阿片类药物相关的死亡率,非大都市和大都市地区在非阿巴拉契亚地区的比率相当,以及阿巴拉契亚。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<0.05)。在阿巴拉契亚郡中,非大城市县的全因死亡率高于大城市县.
这项研究的结果可以帮助医疗保健从业人员和公共卫生官员制定干预措施,以解决肯塔基州的药物相关和阿片类药物相关死亡率,目标是发病率明显较高的地区。此外,关于地理的信息,人口统计学,与这些类型的死亡率相关的社会经济因素可用于设计针对目标人群的社会人口统计学的干预措施。
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.