A dataset of Rheumatoid Arthritis data from National Health and Nutrition Examination Survey (NHANES) participants.

# Dataset Description: Rheumatoid Arthritis and Body Roundness Index (BRI) from NHANES Participants ## 1. Introduction This dataset is centered on the relationship between Rheumatoid Arthritis (RA) and the Body Roundness Index (BRI) using data from the NHANES. It aims to provide a basis for understanding the connection between body fat distribution and RA risk, potentially guiding preventive and treatment strategies. ## 2. Data Source The data comes from the NHANES, a comprehensive CDC study on US health and nutrition. Collected between 2011 and 2020, it uses a complex sampling method for a representative sample. ## 3. Variables Included ### 3.1 Rheumatoid Arthritis (RA) - **Definition**: RA is a chronic autoimmune joint disease. Diagnosis in the dataset was determined by participants' responses to questions about doctor - diagnosed arthritis and its type. Self - reported RA had a high correlation with clinical assessment. - **Data Type**: Categorical (Yes/No) ### 3.2 Body Roundness Index (BRI) - **Definition**: BRI, calculated from height and waist circumference, reflects body fat distribution. It was divided into quartiles for analysis due to the lack of a standard reference range. - **Data Type**: Continuous ### 3.3 Covariates - **Demographic**: Gender and age. - **Socioeconomic**: Race/ethnicity, education level, marital status, and family income. - **Lifestyle**: Physical activity, smoking, and drinking status. - **Medical History**: Hypertension, diabetes, and hyperlipidemia. - **Dietary**: Calorie, nutrient, and caffeine intake. ## 4. Data Collection Methods - **Medical Exams**: Trained staff conducted physicals and RA - related tests. - **Anthropometric Measurements**: Precise height and waist circumference measurements. - **Questionnaires**: Covering various aspects of participants' lives. ## 5. Sample Size From 45,462 initial participants, 13,273 aged 20+ were included after exclusions. This size is sufficient for analysis. ## 6. Data Quality - **Quality Assurance**: NHANES has strict quality control for accurate data. - **Data Cleaning**: Errors, outliers, and missing values were addressed. ## 7. Potential Applications - **Clinical Research**: Explore BRI's role in RA. - **Public Health**: Inform preventive strategies. ## 8. Ethical Considerations - **Informed Consent**: Participants consented. - **Data Protection**: Confidentiality and security measures are in place. This dataset offers valuable insights into RA and body composition research.# 数据集描述：美国国家健康与营养检查调查（National Health and Nutrition Examination Survey, NHANES）参与者的类风湿关节炎（Rheumatoid Arthritis, RA）与体圆度指数（Body Roundness Index, BRI） ## 1. 引言 本数据集以美国国家健康与营养检查调查（NHANES）的数据为基础，聚焦类风湿关节炎（RA）与体圆度指数（BRI）之间的关联，旨在为理解体脂分布与RA发病风险的联系提供依据，有望为疾病预防与治疗策略提供指导。 ## 2. 数据来源 数据源自美国疾病控制与预防中心（Centers for Disease Control and Prevention, CDC）开展的全美健康与营养综合调查项目NHANES，数据采集周期为2011至2020年，采用复杂抽样方法获取具有代表性的研究样本。 ## 3. 变量说明 ### 3.1 类风湿关节炎（RA） - **定义**：RA是一种慢性自身免疫性关节疾病。本数据集通过参与者对医生诊断关节炎及其类型的问卷应答结果确定RA诊断，自我报告的RA与临床评估结果具有较高相关性。 - **数据类型**：分类变量（是/否） ### 3.2 体圆度指数（BRI） - **定义**：BRI由身高与腰围计算得出，用于反映体脂分布情况。由于暂无标准参考范围，本研究将其按四分位数分组进行分析。 - **数据类型**：连续变量 ### 3.3 协变量 - **人口学特征**：性别与年龄 - **社会经济特征**：种族/族裔、教育水平、婚姻状况与家庭收入 - **生活方式**：体力活动、吸烟与饮酒状态 - **病史**：高血压、糖尿病与高脂血症 - **膳食摄入**：热量、营养素与咖啡因摄入量 ## 4. 数据采集方法 - **医学检查**：由经过培训的专业人员开展体格检查与RA相关检测 - **人体测量学指标**：精确测量身高与腰围 - **问卷调查**：涵盖参与者生活各方面的信息采集 ## 5. 样本量 初始招募的45462名参与者中，经排除后纳入20岁及以上的13273名受试者，该样本量足以支撑后续分析。 ## 6. 数据质量 - **质量保证**：NHANES实施严格的质量控制流程以保障数据准确性 - **数据清洗**：已对数据中的错误、异常值与缺失值进行处理 ## 7. 潜在应用场景 - **临床研究**：探索BRI在RA发病与进展中的作用 - **公共卫生**：为疾病预防策略制定提供参考 ## 8. 伦理考量 - **知情同意**：所有参与者均签署知情同意书 - **数据保护**：已采取保密与安全措施保障数据安全 本数据集为类风湿关节炎与体成分相关研究提供了宝贵的参考依据。