Ledford Savanna G, Kessler Fritz, Moss Jennifer L, Wang Ming, Lengerich Eugene J
Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA.
Penn State Cancer Institute, Hershey, PA 17033, USA.
Cancers (Basel). 2023 Sep 29;15(19):4788. doi: 10.3390/cancers15194788.
We sought to quantify the impact of the COVID-19 pandemic on cancer mortality and identify associated factors in Pennsylvania.
The retrospective study analyzed cross-sectional cancer mortality data from CDC WONDER for 2015 through 2020 for Pennsylvania and its 67 counties. The spatial distributions of 2019, 2020, and percentage change in age-adjusted mortality rates by county were analyzed via choropleth maps and spatial autocorrelation. A Wilcoxon Signed Rank Test was used to analyze whether the rates differed between 2019 and 2020. Quasi-Poisson and geographically weighted regression at the county level were used to assess the association between the 2019 rates, sex (percent female), race (percent non-White), ethnicity (percent Hispanic/Latino), rural-urban continuum codes, and socioeconomic status with the 2020 rates.
At the state level, the rate in 2020 did not reflect the declining annual trend (-2.7 per 100,000) in the rate since 2015. Twenty-six counties had an increase in the rate in 2020. Of the factors examined, the 2019 rates were positively associated with the 2020 rates, and the impact of sociodemographic and geographic factors on the 2020 rates varied by county.
In Pennsylvania, the 2020 cancer mortality rates did not decline as much as reported before the COVID-19 pandemic. The top five cancer types by rate were the same type for 2019 and 2020. Future cancer control efforts may need to address the impact of the COVID-19 pandemic on trends and geospatial distribution in cancer mortality.
我们试图量化2019冠状病毒病大流行对宾夕法尼亚州癌症死亡率的影响,并确定相关因素。
这项回顾性研究分析了美国疾病控制与预防中心(CDC)WONDER数据库中2015年至2020年宾夕法尼亚州及其67个县的横断面癌症死亡率数据。通过分级统计图和空间自相关分析了2019年、2020年各县年龄调整死亡率的空间分布及其变化百分比。采用Wilcoxon符号秩检验分析2019年和2020年的死亡率是否存在差异。使用县级拟泊松回归和地理加权回归评估2019年死亡率、性别(女性百分比)、种族(非白人百分比)、族裔(西班牙裔/拉丁裔百分比)、城乡连续编码以及社会经济地位与2020年死亡率之间的关联。
在州层面,2020年的死亡率并未反映出自2015年以来每年-2.7/10万的下降趋势。2020年有26个县的死亡率上升。在所研究的因素中,2019年的死亡率与2020年的死亡率呈正相关,且社会人口统计学和地理因素对2020年死亡率的影响因县而异。
在宾夕法尼亚州,2020年的癌症死亡率下降幅度不如2019冠状病毒病大流行之前报告的那样。2019年和2020年死亡率最高的五种癌症类型相同。未来的癌症控制工作可能需要应对2019冠状病毒病大流行对癌症死亡率趋势和地理空间分布的影响。