{"title":"低血清硒的空间聚集:克山病流行区居民补硒的重点","authors":"Qingyu Zeng, Guijin Li, Ruixiang Wang, Cunqi Lv, Shuxiu Hao, Jiacheng Li, Huixin Sun, Linlin Du, Cheng Wang, Yu Zhang, Xinshu Wang, Yuehui Jia, Qi Li, Tong Wang","doi":"10.1007/s12011-025-04547-8","DOIUrl":null,"url":null,"abstract":"<p><p>Selenium deficiency is strongly associated with Keshan disease (KD). It is essential to investigate serum selenium levels from the perspective of etiological surveillance and evaluation of the populations at-risk. This research aims to identify areas at high risk of selenium deficiency using spatial epidemiological methods and to provide a scientific basis for targeted selenium supplementation. This cross-sectional study measured serum selenium levels using an atomic fluorescence spectrometer among 6,643 residents in KD endemic and non-endemic counties across China, applying spatial epidemiological methods, including global autocorrelation and local Moran's I analysis, to identify spatial clustering. Additionally, ordinary least squares regression was used to assess the correlation between serum selenium levels and per capita disposable income. The median serum selenium level among participants was 66.69 μg/L. Serum selenium levels of residents in KD endemic areas were significantly lower than those in non-endemic areas. A total of 72 counties were classified as selenium-deficient, 638 as selenium-marginal, and 967 as selenium-sufficient. Spatial clustering analysis identified 375 clusters of low selenium levels. Regression analysis revealed a positive correlation between serum selenium levels and per capita disposable income. The geographical distribution of serum selenium levels exhibits significant spatial clustering. The low-low clustering areas in provinces such as Sichuan, Shaanxi, Gansu and Yunnan should be prioritized for selenium nutrition interventions and surveillance. Furthermore, areas with low incomes may need enhanced strategies for selenium supplementation.</p>","PeriodicalId":8917,"journal":{"name":"Biological Trace Element Research","volume":" ","pages":"4983-4993"},"PeriodicalIF":3.6000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial Clusters of Low Serum Selenium: the Priorities of Selenium Supplementation to Residents of Keshan Disease Endemic Areas.\",\"authors\":\"Qingyu Zeng, Guijin Li, Ruixiang Wang, Cunqi Lv, Shuxiu Hao, Jiacheng Li, Huixin Sun, Linlin Du, Cheng Wang, Yu Zhang, Xinshu Wang, Yuehui Jia, Qi Li, Tong Wang\",\"doi\":\"10.1007/s12011-025-04547-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Selenium deficiency is strongly associated with Keshan disease (KD). It is essential to investigate serum selenium levels from the perspective of etiological surveillance and evaluation of the populations at-risk. This research aims to identify areas at high risk of selenium deficiency using spatial epidemiological methods and to provide a scientific basis for targeted selenium supplementation. This cross-sectional study measured serum selenium levels using an atomic fluorescence spectrometer among 6,643 residents in KD endemic and non-endemic counties across China, applying spatial epidemiological methods, including global autocorrelation and local Moran's I analysis, to identify spatial clustering. Additionally, ordinary least squares regression was used to assess the correlation between serum selenium levels and per capita disposable income. The median serum selenium level among participants was 66.69 μg/L. Serum selenium levels of residents in KD endemic areas were significantly lower than those in non-endemic areas. A total of 72 counties were classified as selenium-deficient, 638 as selenium-marginal, and 967 as selenium-sufficient. Spatial clustering analysis identified 375 clusters of low selenium levels. Regression analysis revealed a positive correlation between serum selenium levels and per capita disposable income. The geographical distribution of serum selenium levels exhibits significant spatial clustering. The low-low clustering areas in provinces such as Sichuan, Shaanxi, Gansu and Yunnan should be prioritized for selenium nutrition interventions and surveillance. Furthermore, areas with low incomes may need enhanced strategies for selenium supplementation.</p>\",\"PeriodicalId\":8917,\"journal\":{\"name\":\"Biological Trace Element Research\",\"volume\":\" \",\"pages\":\"4983-4993\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biological Trace Element Research\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s12011-025-04547-8\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/14 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological Trace Element Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s12011-025-04547-8","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/14 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Spatial Clusters of Low Serum Selenium: the Priorities of Selenium Supplementation to Residents of Keshan Disease Endemic Areas.
Selenium deficiency is strongly associated with Keshan disease (KD). It is essential to investigate serum selenium levels from the perspective of etiological surveillance and evaluation of the populations at-risk. This research aims to identify areas at high risk of selenium deficiency using spatial epidemiological methods and to provide a scientific basis for targeted selenium supplementation. This cross-sectional study measured serum selenium levels using an atomic fluorescence spectrometer among 6,643 residents in KD endemic and non-endemic counties across China, applying spatial epidemiological methods, including global autocorrelation and local Moran's I analysis, to identify spatial clustering. Additionally, ordinary least squares regression was used to assess the correlation between serum selenium levels and per capita disposable income. The median serum selenium level among participants was 66.69 μg/L. Serum selenium levels of residents in KD endemic areas were significantly lower than those in non-endemic areas. A total of 72 counties were classified as selenium-deficient, 638 as selenium-marginal, and 967 as selenium-sufficient. Spatial clustering analysis identified 375 clusters of low selenium levels. Regression analysis revealed a positive correlation between serum selenium levels and per capita disposable income. The geographical distribution of serum selenium levels exhibits significant spatial clustering. The low-low clustering areas in provinces such as Sichuan, Shaanxi, Gansu and Yunnan should be prioritized for selenium nutrition interventions and surveillance. Furthermore, areas with low incomes may need enhanced strategies for selenium supplementation.
期刊介绍:
Biological Trace Element Research provides a much-needed central forum for the emergent, interdisciplinary field of research on the biological, environmental, and biomedical roles of trace elements. Rather than confine itself to biochemistry, the journal emphasizes the integrative aspects of trace metal research in all appropriate fields, publishing human and animal nutritional studies devoted to the fundamental chemistry and biochemistry at issue as well as to the elucidation of the relevant aspects of preventive medicine, epidemiology, clinical chemistry, agriculture, endocrinology, animal science, pharmacology, microbiology, toxicology, virology, marine biology, sensory physiology, developmental biology, and related fields.