Demissie Solomon, Mekonen Seblework, Awoke Tadesse, Teshome Birhanu, Mengistie Bezatu
Ethiopian Institute of Water Resources, Addis Ababa University, Ethiopia.
Department of Epidemiology and Biostatistics, University of Gondar, Ethiopia.
Toxicol Rep. 2023 Jul 29;11:153-161. doi: 10.1016/j.toxrep.2023.07.007. eCollection 2023 Dec.
The study aimed to assess the prevalence of arsenic-induced skin lesions and associated factors among the population in the Adami Tulu Jido Kombolcha district, Ethiopia. A community-based cross-sectional study design was employed among 403 participants from June 02-20, 2022. A two-stage cluster sampling method was conducted to select study subjects. A pretested structured and semi-structured interview questionnaire and observation using a WHO flow chart were used for data collection. Data analysis was performed using SPSS version 24 statistical software for Windows. A multivariable binary logistic regression model was applied to examine the relationship between predictor variables and an outcome variable. The degrees of association between outcomes and predictor variables were assessed using ORs and 95% CIs, and P-values < 0.05 were considered significant. The prevalence of arsenic-induced skin lesions (arsenicosis) in the study area was 2.2% [95% CI: 1.0-3.7]. The most common arsenic-induced manifestation was keratosis (55.6%), followed by hyperpigmentation (33.3%) and hyperkeratosis (11.1%). Consumption of well water, smoking cigarettes, and chewing khat were significantly associated with arsenic-induced skin lesions. Therefore, the findings of this study should trigger further research on arsenic exposure and health risks.
该研究旨在评估埃塞俄比亚阿达米图卢吉多孔博尔查地区人群中砷诱导的皮肤病变患病率及相关因素。2022年6月2日至20日,在403名参与者中采用了基于社区的横断面研究设计。采用两阶段整群抽样方法选择研究对象。使用预先测试的结构化和半结构化访谈问卷以及世卫组织流程图进行观察以收集数据。使用适用于Windows的SPSS 24版统计软件进行数据分析。应用多变量二元逻辑回归模型来检验预测变量和结果变量之间的关系。使用比值比(OR)和95%置信区间(CI)评估结果与预测变量之间的关联程度,P值<0.05被认为具有统计学意义。研究区域内砷诱导的皮肤病变(砷中毒)患病率为2.2%[95%CI:1.0 - 3.7]。最常见的砷诱导表现是角化病(55.6%),其次是色素沉着过度(33.3%)和角化过度(11.1%)。饮用井水、吸烟和咀嚼恰特草与砷诱导的皮肤病变显著相关。因此,本研究结果应引发对砷暴露和健康风险的进一步研究。