Literature DB >> 30677879

Increased prevalence of Sjogren's syndrome in where soils contain high levels of chromium.

Chien-Pang Lee1, Peng-Yang Hsu2, Che-Chun Su3.   

Abstract

Previously, we showed that farm soil levels of chromium were strongly correlated with people's serum chromium levels and an increase (3.6 fold) in both the incidence and prevalence of sicca syndrome in areas where farm soil chromium was high. Because Sjogren's syndrome (SS) is the major disease causing a dry mouth and dry eyes, we aimed in the study to investigate whether these areas with high soil chromium have a high SS prevalence. We used a database from the authority in charge of catastrophic illness certificates. Heavy metal concentrations in farm soils were retrieved from nationwide surveys. We used spatial regression models to study the relationships between the SS prevalence and soil metal concentrations. There were 11,220 people, 1165 men and 10,055 women who received a SS certificate from 2000 to 2011. The SS prevalence was 31 per 105 people, 5.59 for men and 55.01 for women. The highest SS prevalence in Taiwan (53 per 105) was located in an area where farm soils contain the highest amounts of chromium. In contrast, other types of heavy metal did not show such a strong association. In conclusion, the SS prevalence is significantly increased in areas where soils contain high levels of chromium. Chromium is likely a risk for SS.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chromium; Heavy metal; Prevalence; Sjogren's syndrome

Mesh:

Substances:

Year:  2018        PMID: 30677879     DOI: 10.1016/j.scitotenv.2018.12.122

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Higher Risk for Sjögren's Syndrome in Patients With Fibromyalgia: A Nationwide Population-Based Cohort Study.

Authors:  Shuo-Yan Gau; Pui-Ying Leong; Cheng-Li Lin; Hsi-Kai Tsou; James Cheng-Chung Wei
Journal:  Front Immunol       Date:  2021-04-12       Impact factor: 7.561

2.  Machine learning based on metabolomics reveals potential targets and biomarkers for primary Sjogren's syndrome.

Authors:  Kai Wang; Ju Li; Deqian Meng; Zhongyuan Zhang; Shanshan Liu
Journal:  Front Mol Biosci       Date:  2022-09-05

3.  Increased Risk of Sjögren's Syndrome in Patients with Obsessive-Compulsive Disorder: A Nationwide Population-Based Cohort Study.

Authors:  Yi-Jung Chang; Jui-Cheng Tseng; Pui-Ying Leong; Yu-Hsun Wang; James Cheng-Chung Wei
Journal:  Int J Environ Res Public Health       Date:  2021-06-01       Impact factor: 3.390

  3 in total

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