贵州苗、侗、布依族尿金属暴露和常见慢性病关联数据集

1、生物样本采集：采用电感耦合等离子体质谱法定量检测尿液中金属元素（如Cd、Pb等），采集过程控制质量；
根据慢性病终点判定规则采集慢性病相关信息、B超诊断信息；采集人口学信息、生活方式，并确保数据一致性。
2、数据处理：通过基础关联分析获取尿金属浓度与高血压、糖尿病、血脂异常、肥胖、脂肪肝、高尿酸血症、代谢综合征、骨量异常、慢性肾病、肾结石、胆结石等贵州苗、侗、布依族人群常见慢性疾病的关联和关联强度；
通过QGcomp、WQS、BKMK混合暴露模型探索金属混合暴露与各类慢性疾病的关联；
采用中介效应分析流程检验炎症标志物、氧化应激指标或代谢紊乱是否在特定金属暴露（如Cd、Pb）与慢性病发生之间起中介作用。
3、数据应用：可用于识别出与慢性病显著相关的“关键金属”及其高暴露阈值；结合民族、性别、生活方式划定高风险亚群、建立“尿金属暴露-慢性病风险”分级响应机制，并用于常规健康宣教、基层医疗机构管理和科研转化。

1. Biological Sample Collection: Quantitative detection of metal elements (e.g., Cd, Pb) in urine was performed using Inductively Coupled Plasma Mass Spectrometry (ICP-MS), with quality control throughout the collection process. Chronic disease-related information and B-mode ultrasound diagnostic information were collected according to chronic disease endpoint determination rules. Demographic information and lifestyle factors were also collected, with data consistency ensured.
2. Data Processing: Basic correlation analysis was conducted to obtain the associations and association strengths between urinary metal concentrations and common chronic diseases among the Miao, Dong and Bouyei ethnic groups in Guizhou Province, including hypertension, diabetes mellitus, dyslipidemia, obesity, fatty liver disease, hyperuricemia, metabolic syndrome, abnormal bone mass, chronic kidney disease, nephrolithiasis and cholelithiasis. Mixture exposure models including QGcomp, WQS and BKMK were used to explore the associations between mixed metal exposure and various chronic diseases. Mediation effect analysis was applied to test whether inflammatory markers, oxidative stress markers or metabolic disorders mediate the association between specific metal exposures (e.g., Cd, Pb) and the occurrence of chronic diseases.
3. Data Application: This dataset can be used to identify "key metals" significantly associated with chronic diseases and their high exposure thresholds. High-risk subgroups can be delineated by combining ethnicity, gender and lifestyle factors, and a "urinary metal exposure - chronic disease risk" hierarchical response mechanism can be established. It can also be applied to routine health education, primary healthcare institution management and scientific research translation.

搜集汇总

背景与挑战

背景概述

该数据集由贵州医科大学创建，规模为18.4MB，聚焦于贵州省苗、侗、布依族人群，旨在研究尿液中多种金属元素（如镉、铅等）与高血压、糖尿病、脂肪肝等常见慢性病之间的关联。它通过定量检测和统计模型分析，探索环境金属暴露对疾病易感性的影响，并考虑民族差异，为环境病因学和精准预防提供数据支持。数据集包含金属浓度、人口学信息等结构化字段，适用于健康研究和风险评估。