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检测日本低出生体重和/或早产的地理聚集。

Detecting geographical clusters of low birth weight and/or preterm birth in Japan.

机构信息

Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan.

Tokyo Foundation for Policy Research, Tokyo, Japan.

出版信息

Sci Rep. 2023 Jan 31;13(1):1788. doi: 10.1038/s41598-023-28642-9.

DOI:10.1038/s41598-023-28642-9
PMID:36720964
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9889813/
Abstract

In Japan, mean birth weight has significantly decreased from 3152 g in 1979 to 3018 g in 2010 and the prevalence of preterm birth (PTB) has risen to 5.7% in the last thirty years. However, the presence and magnitude of geographical differences in low birthweight (LBW) and/or PTB in Japan is not well understood. We implemented spatial analysis to identify localized clusters and hot spots of LBW and/or PTB during 2012-2016. The Japan national birth database was used in this study. A total of 5,041,685 (male: 2,587,415, female: 2,454,270) births were used for spatial analysis using empirical Bayes estimates of the incidence rate of LBW and/or PTB and spatial scan tests to detect hot-spot areas with p values calculated from Monte Carlo iterations. The most and second likely clusters were located in two areas: (1) the small islands in south-west Japan (Amami and Okinawa, Relative risk = 1.09-1.67 with p < 0.001) and (2) the cities on the base of Mt. Fuji, stretching over three neighboring prefectures of Yamanashi, Shizuoka and Kanagawa (Relative risk = 1.10-1.55 with p < 0.001), respectively. We need to optimize the medical resource allocations based on the evidence in geographical clustering of LBW and/or PTB at specific locations in Japan.

摘要

在日本,平均出生体重从 1979 年的 3152 克显著下降到 2010 年的 3018 克,早产率(PTB)在过去三十年上升到 5.7%。然而,日本低出生体重(LBW)和/或早产的存在和程度的地域差异尚不清楚。我们实施了空间分析,以确定 2012-2016 年期间 LBW 和/或 PTB 的局部聚集和热点地区。本研究使用了日本国家出生数据库。利用经验贝叶斯估计的 LBW 和/或 PTB 发生率和空间扫描检验对 5041685 例(男性:2587415 例,女性:2454270 例)出生进行了空间分析,以检测热点地区,并通过蒙特卡罗迭代计算 p 值。最可能和第二可能的集群位于两个地区:(1)日本西南部的小岛(奄美和冲绳,相对风险=1.09-1.67,p<0.001)和(2)富士山脚下的城市,横跨山梨、静冈和神奈川三个相邻的县(相对风险=1.10-1.55,p<0.001)。我们需要根据日本特定地点 LBW 和/或 PTB 的地理聚类证据,优化医疗资源的分配。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6284/9889813/476c46591703/41598_2023_28642_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6284/9889813/506ff4755ccf/41598_2023_28642_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6284/9889813/379cc710488e/41598_2023_28642_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6284/9889813/a10163094c78/41598_2023_28642_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6284/9889813/476c46591703/41598_2023_28642_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6284/9889813/506ff4755ccf/41598_2023_28642_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6284/9889813/379cc710488e/41598_2023_28642_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6284/9889813/a10163094c78/41598_2023_28642_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6284/9889813/476c46591703/41598_2023_28642_Fig4_HTML.jpg

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