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