美国佛罗里达州县级糖尿病相关死亡风险的预测因素:一项回顾性生态学研究。

IF 2.3 3区 生物学 Q2 MULTIDISCIPLINARY SCIENCES PeerJ Pub Date : 2025-01-16 eCollection Date: 2025-01-01 DOI:10.7717/peerj.18537
Nirmalendu Deb Nath, Agricola Odoi
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引用次数: 0

摘要

背景:糖尿病是一个日益重要的公共卫生问题,由于其社会经济影响,高发病率和死亡率。尽管有证据表明,在过去十年中,与糖尿病相关的死亡人数有所增加,但对佛罗里达州糖尿病相关死亡风险(DRMR)的人口水平预测因子知之甚少。确定这些预测因子对于指导旨在减轻糖尿病负担和改善人群健康的控制规划非常重要。因此,本研究的目的是确定佛罗里达州县级DRMR的地理差异和预测因素。方法:2019年佛罗里达州的死亡率数据来自佛罗里达州卫生部。第十种国际疾病分类代码E10-E14用于确定与糖尿病相关的死亡,然后将其汇总到县一级。计算县级死亡率,并以每10万人的死亡人数表示。在地形图上显示DRMR的地理分布,并利用普通最小二乘(OLS)回归模型识别县级DRMR预测因子。结果:在研究期间,佛罗里达州共有6078人死于糖尿病。县级死亡率从每10万人9.6到75.6不等。在该州北部、中部和中南部地区观察到高死亡率风险。与城市县相比,农村县的死亡风险相对较高。在65岁及以上人口比例高(p = 0.032)和体力活动不足(p = 0.036)的县,DRMR显著高。此外,没有车辆的家庭百分比(p = 0.022)和患有糖尿病的人口百分比(p)结论:DRMR在佛罗里达州存在地理差异,在该州的北部、中部和中南部县观察到高风险。该研究确定了佛罗里达州这些确定的DRMR差异的县级预测因素。这些发现有助于指导卫生专业人员更好地进行有针对性的干预工作。
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Predictors of county-level diabetes-related mortality risks in Florida, USA: a retrospective ecological study.

Background: Diabetes is an increasingly important public health problem due to its socioeconomic impact, high morbidity, and mortality. Although there is evidence of increasing diabetes-related deaths over the last ten years, little is known about the population level predictors of diabetes-related mortality risks (DRMR) in Florida. Identifying these predictors is important for guiding control programs geared at reducing the diabetes burden and improving population health. Therefore, the objective of this study was to identify geographic disparities and predictors of county-level DRMR in Florida.

Methods: The 2019 mortality data for the state of Florida were obtained from the Florida Department of Health. The 10th International Classification of Disease codes E10-E14 were used to identify diabetes-related deaths which were then aggregated to the county-level. County-level DRMR were computed and presented as number of deaths per 100,000 persons. Geographic distribution of DRMR were displayed in choropleth maps and ordinary least squares (OLS) regression model was used to identify county-level predictors of DRMR.

Results: There was a total 6,078 diabetes-related deaths in Florida during the study time period. County-level DRMR ranged from 9.6 to 75.6 per 100,000 persons. High mortality risks were observed in the northern, central, and southcentral parts of the state. Relatively higher mortality risks were identified in rural counties compared to their urban counterparts. Significantly high county-level DRMR were observed in counties with high percentages of the population that were: 65 year and older (p < 0.001), current smokers (p = 0.032), and insufficiently physically active (p = 0.036). Additionally, percentage of households without vehicles (p = 0.022) and percentage of population with diabetes (p < 0.001) were significant predictors of DRMR.

Conclusion: Geographic disparities of DRMR exist in Florida, with high risks being observed in northern, central, and southcentral counties of the state. The study identified county-level predictors of these identified DRMR disparities in Florida. The findings are useful in guiding health professionals to better target intervention efforts.

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来源期刊
PeerJ
PeerJ MULTIDISCIPLINARY SCIENCES-
CiteScore
4.70
自引率
3.70%
发文量
1665
审稿时长
10 weeks
期刊介绍: PeerJ is an open access peer-reviewed scientific journal covering research in the biological and medical sciences. At PeerJ, authors take out a lifetime publication plan (for as little as $99) which allows them to publish articles in the journal for free, forever. PeerJ has 5 Nobel Prize Winners on the Board; they have won several industry and media awards; and they are widely recognized as being one of the most interesting recent developments in academic publishing.
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