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 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. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Yuehui Jia [verfasserIn] Guijin Li [verfasserIn] Ruixiang Wang [verfasserIn] Chen Feng [verfasserIn] Lei Qi [verfasserIn] Yuanyuan Wang [verfasserIn] Shengqi Su [verfasserIn] Yuanjie Zou [verfasserIn] Xu Liu [verfasserIn] Yanan Wang [verfasserIn] Yiyi Zhang [verfasserIn] Linlin Du [verfasserIn] Huixin Sun [verfasserIn] Shuxiu Hao [verfasserIn] Jie Hou [verfasserIn] Hongqi Feng [verfasserIn] Qi Li [verfasserIn] Tong Wang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Keshan disease hair selenium small area study spatial autocorrelation analysis precision assessment

Übergeordnetes Werk:	In: Frontiers in Nutrition - Frontiers Media S.A., 2014, 9(2022)
Übergeordnetes Werk:	volume:9 ; year:2022

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fnut.2022.1011460

Katalog-ID:	DOAJ02022303X

Internformat


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520			\|a 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.
650		4	\|a Keshan disease
650		4	\|a hair selenium
650		4	\|a small area study
650		4	\|a spatial autocorrelation analysis
650		4	\|a precision assessment
653		0	\|a Nutrition. Foods and food supply
700	0		\|a Yuehui Jia \|e verfasserin \|4 aut
700	0		\|a Guijin Li \|e verfasserin \|4 aut
700	0		\|a Ruixiang Wang \|e verfasserin \|4 aut
700	0		\|a Chen Feng \|e verfasserin \|4 aut
700	0		\|a Lei Qi \|e verfasserin \|4 aut
700	0		\|a Yuanyuan Wang \|e verfasserin \|4 aut
700	0		\|a Shengqi Su \|e verfasserin \|4 aut
700	0		\|a Yuanjie Zou \|e verfasserin \|4 aut
700	0		\|a Yuanjie Zou \|e verfasserin \|4 aut
700	0		\|a Xu Liu \|e verfasserin \|4 aut
700	0		\|a Yanan Wang \|e verfasserin \|4 aut
700	0		\|a Yanan Wang \|e verfasserin \|4 aut
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700	0		\|a Shuxiu Hao \|e verfasserin \|4 aut
700	0		\|a Jie Hou \|e verfasserin \|4 aut
700	0		\|a Hongqi Feng \|e verfasserin \|4 aut
700	0		\|a Qi Li \|e verfasserin \|4 aut
700	0		\|a Tong Wang \|e verfasserin \|4 aut
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allfields	10.3389/fnut.2022.1011460 doi (DE-627)DOAJ02022303X (DE-599)DOAJff7eef6afd5443a294847913dff6b048 DE-627 ger DE-627 rakwb eng TX341-641 Yuehui Jia verfasserin aut A county-level spatial epidemiological study of hair selenium and Keshan disease 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Keshan disease hair selenium small area study spatial autocorrelation analysis precision assessment Nutrition. Foods and food supply Yuehui Jia verfasserin aut Guijin Li verfasserin aut Ruixiang Wang verfasserin aut Chen Feng verfasserin aut Lei Qi verfasserin aut Yuanyuan Wang verfasserin aut Shengqi Su verfasserin aut Yuanjie Zou verfasserin aut Yuanjie Zou verfasserin aut Xu Liu verfasserin aut Yanan Wang verfasserin aut Yanan Wang verfasserin aut Yiyi Zhang verfasserin aut Yiyi Zhang verfasserin aut Linlin Du verfasserin aut Huixin Sun verfasserin aut Shuxiu Hao verfasserin aut Jie Hou verfasserin aut Hongqi Feng verfasserin aut Qi Li verfasserin aut Tong Wang verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 9(2022) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:9 year:2022 https://doi.org/10.3389/fnut.2022.1011460 kostenfrei https://doaj.org/article/ff7eef6afd5443a294847913dff6b048 kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2022.1011460/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
spelling	10.3389/fnut.2022.1011460 doi (DE-627)DOAJ02022303X (DE-599)DOAJff7eef6afd5443a294847913dff6b048 DE-627 ger DE-627 rakwb eng TX341-641 Yuehui Jia verfasserin aut A county-level spatial epidemiological study of hair selenium and Keshan disease 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Keshan disease hair selenium small area study spatial autocorrelation analysis precision assessment Nutrition. Foods and food supply Yuehui Jia verfasserin aut Guijin Li verfasserin aut Ruixiang Wang verfasserin aut Chen Feng verfasserin aut Lei Qi verfasserin aut Yuanyuan Wang verfasserin aut Shengqi Su verfasserin aut Yuanjie Zou verfasserin aut Yuanjie Zou verfasserin aut Xu Liu verfasserin aut Yanan Wang verfasserin aut Yanan Wang verfasserin aut Yiyi Zhang verfasserin aut Yiyi Zhang verfasserin aut Linlin Du verfasserin aut Huixin Sun verfasserin aut Shuxiu Hao verfasserin aut Jie Hou verfasserin aut Hongqi Feng verfasserin aut Qi Li verfasserin aut Tong Wang verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 9(2022) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:9 year:2022 https://doi.org/10.3389/fnut.2022.1011460 kostenfrei https://doaj.org/article/ff7eef6afd5443a294847913dff6b048 kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2022.1011460/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
allfields_unstemmed	10.3389/fnut.2022.1011460 doi (DE-627)DOAJ02022303X (DE-599)DOAJff7eef6afd5443a294847913dff6b048 DE-627 ger DE-627 rakwb eng TX341-641 Yuehui Jia verfasserin aut A county-level spatial epidemiological study of hair selenium and Keshan disease 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Keshan disease hair selenium small area study spatial autocorrelation analysis precision assessment Nutrition. Foods and food supply Yuehui Jia verfasserin aut Guijin Li verfasserin aut Ruixiang Wang verfasserin aut Chen Feng verfasserin aut Lei Qi verfasserin aut Yuanyuan Wang verfasserin aut Shengqi Su verfasserin aut Yuanjie Zou verfasserin aut Yuanjie Zou verfasserin aut Xu Liu verfasserin aut Yanan Wang verfasserin aut Yanan Wang verfasserin aut Yiyi Zhang verfasserin aut Yiyi Zhang verfasserin aut Linlin Du verfasserin aut Huixin Sun verfasserin aut Shuxiu Hao verfasserin aut Jie Hou verfasserin aut Hongqi Feng verfasserin aut Qi Li verfasserin aut Tong Wang verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 9(2022) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:9 year:2022 https://doi.org/10.3389/fnut.2022.1011460 kostenfrei https://doaj.org/article/ff7eef6afd5443a294847913dff6b048 kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2022.1011460/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
allfieldsGer	10.3389/fnut.2022.1011460 doi (DE-627)DOAJ02022303X (DE-599)DOAJff7eef6afd5443a294847913dff6b048 DE-627 ger DE-627 rakwb eng TX341-641 Yuehui Jia verfasserin aut A county-level spatial epidemiological study of hair selenium and Keshan disease 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Keshan disease hair selenium small area study spatial autocorrelation analysis precision assessment Nutrition. Foods and food supply Yuehui Jia verfasserin aut Guijin Li verfasserin aut Ruixiang Wang verfasserin aut Chen Feng verfasserin aut Lei Qi verfasserin aut Yuanyuan Wang verfasserin aut Shengqi Su verfasserin aut Yuanjie Zou verfasserin aut Yuanjie Zou verfasserin aut Xu Liu verfasserin aut Yanan Wang verfasserin aut Yanan Wang verfasserin aut Yiyi Zhang verfasserin aut Yiyi Zhang verfasserin aut Linlin Du verfasserin aut Huixin Sun verfasserin aut Shuxiu Hao verfasserin aut Jie Hou verfasserin aut Hongqi Feng verfasserin aut Qi Li verfasserin aut Tong Wang verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 9(2022) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:9 year:2022 https://doi.org/10.3389/fnut.2022.1011460 kostenfrei https://doaj.org/article/ff7eef6afd5443a294847913dff6b048 kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2022.1011460/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
allfieldsSound	10.3389/fnut.2022.1011460 doi (DE-627)DOAJ02022303X (DE-599)DOAJff7eef6afd5443a294847913dff6b048 DE-627 ger DE-627 rakwb eng TX341-641 Yuehui Jia verfasserin aut A county-level spatial epidemiological study of hair selenium and Keshan disease 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Keshan disease hair selenium small area study spatial autocorrelation analysis precision assessment Nutrition. Foods and food supply Yuehui Jia verfasserin aut Guijin Li verfasserin aut Ruixiang Wang verfasserin aut Chen Feng verfasserin aut Lei Qi verfasserin aut Yuanyuan Wang verfasserin aut Shengqi Su verfasserin aut Yuanjie Zou verfasserin aut Yuanjie Zou verfasserin aut Xu Liu verfasserin aut Yanan Wang verfasserin aut Yanan Wang verfasserin aut Yiyi Zhang verfasserin aut Yiyi Zhang verfasserin aut Linlin Du verfasserin aut Huixin Sun verfasserin aut Shuxiu Hao verfasserin aut Jie Hou verfasserin aut Hongqi Feng verfasserin aut Qi Li verfasserin aut Tong Wang verfasserin aut In Frontiers in Nutrition Frontiers Media S.A., 2014 9(2022) (DE-627)790231158 (DE-600)2776676-7 2296861X nnns volume:9 year:2022 https://doi.org/10.3389/fnut.2022.1011460 kostenfrei https://doaj.org/article/ff7eef6afd5443a294847913dff6b048 kostenfrei https://www.frontiersin.org/articles/10.3389/fnut.2022.1011460/full kostenfrei https://doaj.org/toc/2296-861X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2022
language	English
source	In Frontiers in Nutrition 9(2022) volume:9 year:2022
sourceStr	In Frontiers in Nutrition 9(2022) volume:9 year:2022
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Keshan disease hair selenium small area study spatial autocorrelation analysis precision assessment Nutrition. Foods and food supply
isfreeaccess_bool	true
container_title	Frontiers in Nutrition
authorswithroles_txt_mv	Yuehui Jia @@aut@@ Guijin Li @@aut@@ Ruixiang Wang @@aut@@ Chen Feng @@aut@@ Lei Qi @@aut@@ Yuanyuan Wang @@aut@@ Shengqi Su @@aut@@ Yuanjie Zou @@aut@@ Xu Liu @@aut@@ Yanan Wang @@aut@@ Yiyi Zhang @@aut@@ Linlin Du @@aut@@ Huixin Sun @@aut@@ Shuxiu Hao @@aut@@ Jie Hou @@aut@@ Hongqi Feng @@aut@@ Qi Li @@aut@@ Tong Wang @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	790231158
id	DOAJ02022303X
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ02022303X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230307034557.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230226s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3389/fnut.2022.1011460</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ02022303X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJff7eef6afd5443a294847913dff6b048</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TX341-641</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Yuehui Jia</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A county-level spatial epidemiological study of hair selenium and Keshan disease</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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 &lt; 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 &lt; 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 &lt; 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. 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callnumber-first	T - Technology
author	Yuehui Jia
spellingShingle	Yuehui Jia misc TX341-641 misc Keshan disease misc hair selenium misc small area study misc spatial autocorrelation analysis misc precision assessment misc Nutrition. Foods and food supply A county-level spatial epidemiological study of hair selenium and Keshan disease
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topic_title	TX341-641 A county-level spatial epidemiological study of hair selenium and Keshan disease Keshan disease hair selenium small area study spatial autocorrelation analysis precision assessment
topic	misc TX341-641 misc Keshan disease misc hair selenium misc small area study misc spatial autocorrelation analysis misc precision assessment misc Nutrition. Foods and food supply
topic_unstemmed	misc TX341-641 misc Keshan disease misc hair selenium misc small area study misc spatial autocorrelation analysis misc precision assessment misc Nutrition. Foods and food supply
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title	A county-level spatial epidemiological study of hair selenium and Keshan disease
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title_full	A county-level spatial epidemiological study of hair selenium and Keshan disease
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author_browse	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
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title_sort	county-level spatial epidemiological study of hair selenium and keshan disease
callnumber	TX341-641
title_auth	A county-level spatial epidemiological study of hair selenium and Keshan disease
abstract	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.
abstractGer	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.
abstract_unstemmed	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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title_short	A county-level spatial epidemiological study of hair selenium and Keshan disease
url	https://doi.org/10.3389/fnut.2022.1011460 https://doaj.org/article/ff7eef6afd5443a294847913dff6b048 https://www.frontiersin.org/articles/10.3389/fnut.2022.1011460/full https://doaj.org/toc/2296-861X
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author2	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
author2Str	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
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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 &lt; 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 &lt; 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 &lt; 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. 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A county-level spatial epidemiological study of hair selenium and Keshan disease

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