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[利用年龄-时期-队列分析对日本各县癌症死亡率变化差异的分析]

[An analysis of disparities in the changes of cancer mortality rates among prefectures in Japan using age-period-cohort analysis].

作者信息

Okui Tasuku

机构信息

Kyushu University Hospital.

出版信息

Nihon Koshu Eisei Zasshi. 2020;67(11):781-790. doi: 10.11236/jph.67.11_781.

Abstract

Objectives In this study, we compared the decrease in cancer mortality rates among prefectures in Japan using age-period-cohort (APC) analysis.Methods We used the cancer mortality data of each prefecture in Japan, as determined by the Vital Statistics, over 5-year periods from 1995 to 2015. Records of the number of mortalities in each 5-year age group from 40-44 to 85-89 years age was collected. We fitted a Bayesian APC model to the data of each prefecture and estimated the birth cohort effect on cancer mortality rates in the prefectures over 5-year periods ranging from 1916-1920 to 1971-1975. In addition, we calculated the ratio of the mortality rate of each prefecture to that of the entire country for each birth cohort.Results Our APC analysis revealed that the decrease in the age-adjusted cancer mortality rates was mainly attributable to a reduction in the cohort effect on the rates in men and to reduction in the cohort and period effects on the rates in women. The magnitude of reduction in cohort effect varied by prefecture for men and women. Several prefectures having a government ordinance-designated municipality tended to show a higher reduction than those that do not. Spearman's correlation coefficient between the population size of prefectures and the percentage reduction in cohort effect was 0.370 in men. In addition, the relative ranking of the prefectures based on cancer mortality rates greatly varied by birth cohorts, particularly in men.Conclusion A disparity exists in the percentage reduction in the cohort effect among prefectures. In each prefecture target cohorts with higher than average cancer mortality rates must be identified to implement specific countermeasures for cancer prevention. In addition, for each prefecture, assessment of lifestyle differences that might be related to cancer mortality among birth cohorts is important for reducing cancer mortality in the more recent birth cohorts.

摘要

目的 在本研究中,我们使用年龄-时期-队列(APC)分析比较了日本各都道府县癌症死亡率的下降情况。

方法 我们使用了日本各都道府县1995年至2015年期间5年时段的癌症死亡率数据,这些数据由生命统计确定。收集了40 - 44岁至85 - 89岁每个5岁年龄组的死亡人数记录。我们将贝叶斯APC模型应用于各都道府县的数据,并估计了1916 - 1920年至1971 - 1975年期间5年时段出生队列对各都道府县癌症死亡率的影响。此外,我们计算了每个出生队列中各都道府县与全国死亡率的比率。

结果 我们的APC分析显示,年龄调整后的癌症死亡率下降主要归因于男性队列效应的降低以及女性队列和时期效应的降低。男性和女性队列效应降低的幅度因都道府县而异。几个拥有政令指定都市的都道府县往往比没有的都道府县显示出更高的降低幅度。都道府县人口规模与队列效应降低百分比之间的斯皮尔曼相关系数在男性中为0.370。此外,各都道府县基于癌症死亡率的相对排名因出生队列差异很大,尤其是在男性中。

结论 各都道府县在队列效应降低百分比方面存在差异。必须确定每个都道府县中癌症死亡率高于平均水平的目标队列,以实施具体的癌症预防对策。此外,对于每个都道府县,评估可能与出生队列中癌症死亡率相关的生活方式差异对于降低较新出生队列中的癌症死亡率很重要。

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