[Analysis of risk factors of skin lesions from burning high-arsenic-contaminating coal in southern Shanxi Province].
OBJECTIVE
To explore risk factors of the patients with skin lesions from burning high-arsenic-contaminated coal in southern Shanxi Province.


METHODS
An epidemiological cross-sectional study was conducted in two villages of Hanbin District, Ankang City, Shanxi Province, where 198 participants were randomly selected. The parts of factors which were not significantly different were rejected via the single variable analysis and the collinear relationships were removed between the other factors using principal components analysis, and then the major risk factors of the skin lesions from burning high-arsenic-contaminated coal were obtained from stepwise logistic regression.


RESULTS
The single variable analysis showed that 11 influential variables were significantly associaed with coal-burning-arsenic-associated skin lesions, while principal component and logistic regression analysis showed that 6 variables could be the principal, which were period of burning arsenic-contaminating coal, ege, the arsenic content in blood, resident duration, the arsenic content in urine and hair, respectively.


CONCLUSIONS
The results suggested that the major risk factors of the skin lesions related to burning coal-contaminating arsenic should be period of burning arsenic-contaminating coal, age, the arsenic content in blood, resident duration, the arsenic content in urine and hair.
Wang
Zhifang
Z
Key Laboratory of Environment and Genes Related to Disease (Xi'an Jiaotong University), Ministry of Education, Department of Public Health, School of Medicine, Xi'an Jiaotong University, Xi'an 710061, China.
Guo
Xiong
X
Bai
Guanglu
G
Lei
Yanxia
Y
D000328:Adult; D000368:Aged; D000393:Air Pollutants / Q000633:toxicity*; D001151:Arsenic / Q000633:toxicity*; D020261:Arsenic Poisoning / Q000453:epidemiology*; D002681:China / Q000453:epidemiology; D003031:Coal; D003430:Cross-Sectional Studies; D004781:Environmental Exposure / Q000009:adverse effects*; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012307:Risk Factors; D012871:Skin Diseases / Q000139:chemically induced* / Q000453:epidemiology; D013997:Time Factors
D000393:Air Pollutants; D003031:Coal; D001151:Arsenic