Environmental, social and behavioral risk factors in association with spatial clustering of childhood cancer incidence

IF 2.1 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Anke Hüls , Sara Van Cor , Grace M. Christensen , Zhenjiang Li , Yuxi Liu , Liuhua Shi , John L. Pearce , Rana Bayakly , Timothy L. Lash , Kevin Ward , Jeffrey M. Switchenko
{"title":"Environmental, social and behavioral risk factors in association with spatial clustering of childhood cancer incidence","authors":"Anke Hüls ,&nbsp;Sara Van Cor ,&nbsp;Grace M. Christensen ,&nbsp;Zhenjiang Li ,&nbsp;Yuxi Liu ,&nbsp;Liuhua Shi ,&nbsp;John L. Pearce ,&nbsp;Rana Bayakly ,&nbsp;Timothy L. Lash ,&nbsp;Kevin Ward ,&nbsp;Jeffrey M. Switchenko","doi":"10.1016/j.sste.2023.100582","DOIUrl":null,"url":null,"abstract":"<div><p>Childhood cancer incidence is known to vary by age, sex, and race/ethnicity, but evidence is limited regarding external risk factors. We aim to identify harmful combinations of air pollutants and other environmental and social risk factors in association with the incidence of childhood cancer based on 2003–2017 data from the Georgia Cancer Registry. We calculated the standardized incidence ratios (SIR) of Central Nervous System (CNS) tumors, leukemia and lymphomas based on age, gender and ethnic composition in each of the 159 counties in Georgia, USA. County-level information on air pollution, socioeconomic status (SES), tobacco smoking, alcohol drinking and obesity were derived from US EPA and other public data sources. We applied two unsupervised learning tools (self-organizing map [SOM] and exposure-continuum mapping [ECM]) to identify pertinent types of multi-exposure combinations. Spatial Bayesian Poisson models (Leroux-CAR) were fit with indicators for each multi-exposure category as exposure and SIR of childhood cancers as outcomes. We identified consistent associations of environmental (pesticide exposure) and social/behavioral stressors (low socioeconomic status, alcohol) with spatial clustering of pediatric cancer class II (lymphomas and reticuloendothelial neoplasms), but not for other cancer classes. More research is needed to identify the causal risk factors for these associations.</p></div>","PeriodicalId":46645,"journal":{"name":"Spatial and Spatio-Temporal Epidemiology","volume":"45 ","pages":"Article 100582"},"PeriodicalIF":2.1000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a6/5e/nihms-1874745.PMC10258443.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spatial and Spatio-Temporal Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1877584523000199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 1

Abstract

Childhood cancer incidence is known to vary by age, sex, and race/ethnicity, but evidence is limited regarding external risk factors. We aim to identify harmful combinations of air pollutants and other environmental and social risk factors in association with the incidence of childhood cancer based on 2003–2017 data from the Georgia Cancer Registry. We calculated the standardized incidence ratios (SIR) of Central Nervous System (CNS) tumors, leukemia and lymphomas based on age, gender and ethnic composition in each of the 159 counties in Georgia, USA. County-level information on air pollution, socioeconomic status (SES), tobacco smoking, alcohol drinking and obesity were derived from US EPA and other public data sources. We applied two unsupervised learning tools (self-organizing map [SOM] and exposure-continuum mapping [ECM]) to identify pertinent types of multi-exposure combinations. Spatial Bayesian Poisson models (Leroux-CAR) were fit with indicators for each multi-exposure category as exposure and SIR of childhood cancers as outcomes. We identified consistent associations of environmental (pesticide exposure) and social/behavioral stressors (low socioeconomic status, alcohol) with spatial clustering of pediatric cancer class II (lymphomas and reticuloendothelial neoplasms), but not for other cancer classes. More research is needed to identify the causal risk factors for these associations.

Abstract Image

Abstract Image

Abstract Image

环境、社会和行为风险因素与儿童癌症发病率空间聚类的关系
儿童癌症发病率因年龄、性别和种族/民族而异,但关于外部风险因素的证据有限。我们的目的是根据格鲁吉亚癌症登记处2003-2007年的数据,确定空气污染物和其他环境和社会风险因素的有害组合与儿童癌症发病率相关。我们根据美国乔治亚州159个县的年龄、性别和种族组成,计算了中枢神经系统(CNS)肿瘤、白血病和淋巴瘤的标准化发病率(SIR)。关于空气污染、社会经济地位(SES)、吸烟、饮酒和肥胖的县一级信息来自美国环保局和其他公共数据来源。我们应用了两种无监督学习工具(自组织映射[SOM]和暴露连续映射[EMC])来识别相关类型的多暴露组合。空间贝叶斯泊松模型(Leroux-CAR)将每个多暴露类别的指标作为暴露进行拟合,并将儿童癌症的SIR作为结果进行拟合。我们确定了环境(农药暴露)和社会/行为应激源(低社会经济地位、酒精)与儿童癌症II类(淋巴瘤和网状内皮细胞肿瘤)的空间聚集的一致性关联,但其他癌症类不存在这种关联。需要更多的研究来确定这些关联的因果风险因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Spatial and Spatio-Temporal Epidemiology
Spatial and Spatio-Temporal Epidemiology PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
5.10
自引率
8.80%
发文量
63
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信