A county-level spatial epidemiological study of hair selenium and Keshan disease

BackgroundNo spatial analysis of hair selenium and Keshan disease (KD) on a nationwide county-level has been performed. Selenium deficiency is a recognized environmental risk factor for KD. Hair selenium is one of the recognized biomarkers of selenium nutrition. This study aimed to perform a geograp...

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Main Authors: Yuehui Jia, Guijin Li, Ruixiang Wang, Chen Feng, Lei Qi, Yuanyuan Wang, Shengqi Su, Yuanjie Zou, Xu Liu, Yanan Wang, Yiyi Zhang, Linlin Du, Huixin Sun, Shuxiu Hao, Jie Hou, Hongqi Feng, Qi Li, Tong Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Nutrition
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2022.1011460/full
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author Yuehui Jia
Yuehui Jia
Guijin Li
Ruixiang Wang
Chen Feng
Lei Qi
Yuanyuan Wang
Shengqi Su
Yuanjie Zou
Yuanjie Zou
Xu Liu
Yanan Wang
Yanan Wang
Yiyi Zhang
Yiyi Zhang
Linlin Du
Huixin Sun
Shuxiu Hao
Jie Hou
Hongqi Feng
Qi Li
Tong Wang
author_facet Yuehui Jia
Yuehui Jia
Guijin Li
Ruixiang Wang
Chen Feng
Lei Qi
Yuanyuan Wang
Shengqi Su
Yuanjie Zou
Yuanjie Zou
Xu Liu
Yanan Wang
Yanan Wang
Yiyi Zhang
Yiyi Zhang
Linlin Du
Huixin Sun
Shuxiu Hao
Jie Hou
Hongqi Feng
Qi Li
Tong Wang
author_sort Yuehui Jia
collection DOAJ
description BackgroundNo spatial analysis of hair selenium and Keshan disease (KD) on a nationwide county-level has been performed. Selenium deficiency is a recognized environmental risk factor for KD. Hair selenium is one of the recognized biomarkers of selenium nutrition. This study aimed to perform a geographically precise and visualized assessment of the achievement of KD prevention and control at the level of selenium nutrition in terms of etiology.MethodsA spatial ecological study was conducted. The hair selenium content of the residents was assayed using an atomic fluorescence spectrometer. The spatial analysis was performed using ArcGIS.ResultsThe median of the hair selenium levels of the 3,028 participants in the 1,174 counties was 0.38 mg/kg, and the content of inhabitants in KD endemic counties was significantly lower than that in KD non-endemic counties (0.34 vs. 0.39 mg/kg, z = −10.03, P < 0.0001). The proportion of Se-deficient and Se-marginal counties in KD endemic counties was significantly higher than that in KD non-endemic counties (59.4 vs. 29.0%, z = −7.45, P < 0.0001). The global autocorrelation analysis was not statistically significant (Moran's I = 0.0005, P = 0.68). Local autocorrelation analysis identified 174 low-low clusters of hair selenium levels, 83 (47.7%) of which are KD endemic counties located in KD endemic provinces of Henan, Gansu, Shaanxi, Inner Mongolia, Jilin, and Heilongjiang. The hair selenium featured a positive correlation with per capita GDP (rs = 0.20, P < 0.0001).ConclusionThe median of the hair selenium levels of inhabitants living in KD endemic counties was significantly lower than that in KD non-endemic counties. All the 83 KD endemic counties with low-low clusters of hair selenium levels should be prioritized in KD precision prevention and control. These findings are geographically precise and visualized evidence of the assessment of the effectiveness of KD prevention and control at the level of selenium nutrition in terms of etiology.
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spelling doaj.art-ff7eef6afd5443a294847913dff6b0482022-12-22T03:39:57ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2022-11-01910.3389/fnut.2022.10114601011460A county-level spatial epidemiological study of hair selenium and Keshan diseaseYuehui Jia0Yuehui Jia1Guijin Li2Ruixiang Wang3Chen Feng4Lei Qi5Yuanyuan Wang6Shengqi Su7Yuanjie Zou8Yuanjie Zou9Xu Liu10Yanan Wang11Yanan Wang12Yiyi Zhang13Yiyi Zhang14Linlin Du15Huixin Sun16Shuxiu Hao17Jie Hou18Hongqi Feng19Qi Li20Tong Wang21Institute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaSchool of Public Health, Qiqihar Medical University, Qiqihar, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaInstitute of Environmental and Occupational Health, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, ChinaDepartment of Emergency Management, Yidu Central Hospital of Weifang, Weifang, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaSchool of Public Health and Management, Binzhou Medical University, Yantai, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaDepartment of Food Hygiene, Yantai Disease Prevention and Control Center, Yantai, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaDepartment of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, ChinaInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, ChinaBackgroundNo spatial analysis of hair selenium and Keshan disease (KD) on a nationwide county-level has been performed. Selenium deficiency is a recognized environmental risk factor for KD. Hair selenium is one of the recognized biomarkers of selenium nutrition. This study aimed to perform a geographically precise and visualized assessment of the achievement of KD prevention and control at the level of selenium nutrition in terms of etiology.MethodsA spatial ecological study was conducted. The hair selenium content of the residents was assayed using an atomic fluorescence spectrometer. The spatial analysis was performed using ArcGIS.ResultsThe median of the hair selenium levels of the 3,028 participants in the 1,174 counties was 0.38 mg/kg, and the content of inhabitants in KD endemic counties was significantly lower than that in KD non-endemic counties (0.34 vs. 0.39 mg/kg, z = −10.03, P < 0.0001). The proportion of Se-deficient and Se-marginal counties in KD endemic counties was significantly higher than that in KD non-endemic counties (59.4 vs. 29.0%, z = −7.45, P < 0.0001). The global autocorrelation analysis was not statistically significant (Moran's I = 0.0005, P = 0.68). Local autocorrelation analysis identified 174 low-low clusters of hair selenium levels, 83 (47.7%) of which are KD endemic counties located in KD endemic provinces of Henan, Gansu, Shaanxi, Inner Mongolia, Jilin, and Heilongjiang. The hair selenium featured a positive correlation with per capita GDP (rs = 0.20, P < 0.0001).ConclusionThe median of the hair selenium levels of inhabitants living in KD endemic counties was significantly lower than that in KD non-endemic counties. All the 83 KD endemic counties with low-low clusters of hair selenium levels should be prioritized in KD precision prevention and control. These findings are geographically precise and visualized evidence of the assessment of the effectiveness of KD prevention and control at the level of selenium nutrition in terms of etiology.https://www.frontiersin.org/articles/10.3389/fnut.2022.1011460/fullKeshan diseasehair seleniumsmall area studyspatial autocorrelation analysisprecision assessment
spellingShingle Yuehui Jia
Yuehui Jia
Guijin Li
Ruixiang Wang
Chen Feng
Lei Qi
Yuanyuan Wang
Shengqi Su
Yuanjie Zou
Yuanjie Zou
Xu Liu
Yanan Wang
Yanan Wang
Yiyi Zhang
Yiyi Zhang
Linlin Du
Huixin Sun
Shuxiu Hao
Jie Hou
Hongqi Feng
Qi Li
Tong Wang
A county-level spatial epidemiological study of hair selenium and Keshan disease
Frontiers in Nutrition
Keshan disease
hair selenium
small area study
spatial autocorrelation analysis
precision assessment
title A county-level spatial epidemiological study of hair selenium and Keshan disease
title_full A county-level spatial epidemiological study of hair selenium and Keshan disease
title_fullStr A county-level spatial epidemiological study of hair selenium and Keshan disease
title_full_unstemmed A county-level spatial epidemiological study of hair selenium and Keshan disease
title_short A county-level spatial epidemiological study of hair selenium and Keshan disease
title_sort county level spatial epidemiological study of hair selenium and keshan disease
topic Keshan disease
hair selenium
small area study
spatial autocorrelation analysis
precision assessment
url https://www.frontiersin.org/articles/10.3389/fnut.2022.1011460/full
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