Incidence rate and geographic distribution of congenital hypothyroidism in the southwest of Iran (Kohgiluyeh and Boyer Ahmad province) based on geographic information system since 2011-2020.

IF 2 3区 医学 Q2 PEDIATRICS
Mohammad Amin Ghatee, Leila Manzouri, Maryam Kheiri, Mohamad Parad
{"title":"Incidence rate and geographic distribution of congenital hypothyroidism in the southwest of Iran (Kohgiluyeh and Boyer Ahmad province) based on geographic information system since 2011-2020.","authors":"Mohammad Amin Ghatee, Leila Manzouri, Maryam Kheiri, Mohamad Parad","doi":"10.1186/s12887-024-05292-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Congenital hypothyroidism (CH) is one of the most prevalent preventable cause of mental retardation and intellectual disability in newborns. Genetic and environmental factors have been related to congenital hypothyroidism. Hence, this study was conducted to illustrate the incidence and spatial distribution of the CH using the dataset from the national newborn CH screening information system during 2011-2020in counties affiliated to the Kohgiluyeh and Boyer Ahmad University of Medical Sciences.</p><p><strong>Methods: </strong>This was a cross-sectional study. All newborns that were screened for CH in 3-5 days of age in the health centers of Yasuj University of Medical Sciences were enrolled the study since 2011-2020. Meteorological data including information on temperature, humidity, precipitation in a 10-year period (2011-2020) was taken from the Meteorological Organization. The required information layers include slope, slope direction, height, vegetation and political divisions of the province, were purchased from the organizations that made the layers. The data related to the incidence of congenital hypothyroidism was collected from the 10-year reports of the provincial health center. Addresses of patients were transferred to Arc GIS 10.5 software and entered in urban and rural point<sup>'</sup>s layer to prepare and draw disease distribution maps in the province's newborns. The influence of geographical factors on the occurrence of disease was done by SPSS 23 software using multivariate binary logistic regression. P-value < 0.05 was assumed as significant level.</p><p><strong>Results: </strong>Out of 142,674 screened newborns for CH, 827 had positive screening, including 441 boys (53.3%) and 386 girls (46.7%). Total incidence per 1000 live birth was 5.79. Based on multivariate logistic regression, slope (sig = 0.0001, Exp(B) = 0.91, CI<sub>95%</sub> Exp(B) = 0.87-0.95), thin forest (sig = 0.001, Exp(B) = 0.2, CI<sub>95%</sub> Exp(B) = 0.07-0.53), water area (sig = 0.0001, Exp(B) = 8.91, CI<sub>95%</sub> Exp(B) = 3.35-23.69), were predicting factors of CH.</p><p><strong>Conclusion: </strong>Given that, the incidence of CH in the Kohgiluyeh and Boyar Ahmad province is higher than the average of country (Iran), and the geographical factors of land slope and type of vegetation were related to it that cannot be changed, it is very important to carry out necessary nutritional interventions during pregnancy to prevent newborns from contracting this disease.</p>","PeriodicalId":9144,"journal":{"name":"BMC Pediatrics","volume":"24 1","pages":"790"},"PeriodicalIF":2.0000,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11607792/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Pediatrics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12887-024-05292-y","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PEDIATRICS","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Congenital hypothyroidism (CH) is one of the most prevalent preventable cause of mental retardation and intellectual disability in newborns. Genetic and environmental factors have been related to congenital hypothyroidism. Hence, this study was conducted to illustrate the incidence and spatial distribution of the CH using the dataset from the national newborn CH screening information system during 2011-2020in counties affiliated to the Kohgiluyeh and Boyer Ahmad University of Medical Sciences.

Methods: This was a cross-sectional study. All newborns that were screened for CH in 3-5 days of age in the health centers of Yasuj University of Medical Sciences were enrolled the study since 2011-2020. Meteorological data including information on temperature, humidity, precipitation in a 10-year period (2011-2020) was taken from the Meteorological Organization. The required information layers include slope, slope direction, height, vegetation and political divisions of the province, were purchased from the organizations that made the layers. The data related to the incidence of congenital hypothyroidism was collected from the 10-year reports of the provincial health center. Addresses of patients were transferred to Arc GIS 10.5 software and entered in urban and rural point's layer to prepare and draw disease distribution maps in the province's newborns. The influence of geographical factors on the occurrence of disease was done by SPSS 23 software using multivariate binary logistic regression. P-value < 0.05 was assumed as significant level.

Results: Out of 142,674 screened newborns for CH, 827 had positive screening, including 441 boys (53.3%) and 386 girls (46.7%). Total incidence per 1000 live birth was 5.79. Based on multivariate logistic regression, slope (sig = 0.0001, Exp(B) = 0.91, CI95% Exp(B) = 0.87-0.95), thin forest (sig = 0.001, Exp(B) = 0.2, CI95% Exp(B) = 0.07-0.53), water area (sig = 0.0001, Exp(B) = 8.91, CI95% Exp(B) = 3.35-23.69), were predicting factors of CH.

Conclusion: Given that, the incidence of CH in the Kohgiluyeh and Boyar Ahmad province is higher than the average of country (Iran), and the geographical factors of land slope and type of vegetation were related to it that cannot be changed, it is very important to carry out necessary nutritional interventions during pregnancy to prevent newborns from contracting this disease.

2011-2020年基于地理信息系统的伊朗西南部(Kohgiluyeh和Boyer Ahmad省)先天性甲状腺功能减退症发病率和地理分布
背景:先天性甲状腺功能减退症(CH)是新生儿智力发育迟滞和智力残疾最常见的可预防原因之一。遗传和环境因素与先天性甲状腺功能减退有关。因此,本研究利用2011-2020年国家新生儿CH筛查信息系统的数据集,在Kohgiluyeh and Boyer Ahmad医学科学大学附属县阐明了CH的发病率和空间分布。方法:采用横断面研究。2011-2020年以来,所有在Yasuj医科大学卫生中心接受3-5天龄CH筛查的新生儿都参加了这项研究。气象数据包括10年(2011-2020年)的温度、湿度、降水信息,来自气象组织。所需的信息层包括坡度、坡度方向、高度、植被和该省的政治区划,这些都是从制作层的组织那里购买的。有关先天性甲状腺功能减退症发病率的数据收集自省卫生中心的10年报告。将患者地址导入arcgis 10.5软件,在城乡点层输入,编制绘制全省新生儿疾病分布图。采用SPSS 23多元二元logistic回归分析地理因素对疾病发生的影响。p值结果:142,674例新生儿CH筛查中,827例筛查阳性,其中男孩441例(53.3%),女孩386例(46.7%)。每1000名活产婴儿的总发病率为5.79。多因素logistic回归分析结果表明,坡度(sig = 0.0001, Exp(B) = 0.91, CI95% Exp(B) = 0.87-0.95)、森林稀疏(sig = 0.001, Exp(B) = 0.2, CI95% Exp(B) = 0.07-0.53)、水域面积(sig = 0.0001, Exp(B) = 8.91, CI95% Exp(B) = 3.35-23.69)是ch的预测因素。鉴于CH在Kohgiluyeh和Boyar Ahmad省的发病率高于全国(伊朗)的平均水平,并且与土地坡度和植被类型相关的地理因素无法改变,因此在怀孕期间进行必要的营养干预以防止新生儿感染这种疾病非常重要。
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
BMC Pediatrics
BMC Pediatrics PEDIATRICS-
CiteScore
3.70
自引率
4.20%
发文量
683
审稿时长
3-8 weeks
期刊介绍: BMC Pediatrics is an open access journal publishing peer-reviewed research articles in all aspects of health care in neonates, children and adolescents, as well as related molecular genetics, pathophysiology, and epidemiology.
×
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