Related Experiment Video
Updated: Jun 13, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Population-Based Big Data Analysis on Disease Patterns in Patients Identified With Juvenile Idiopathic Arthritis
Eun Jeong Min1, Soo Hyun Lee2, Joo-Young Jo2
1Department of Medical Life Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea.
This study reports the first Korean epidemiologic data for juvenile idiopathic arthritis (JIA), revealing prevalence and incidence rates. Findings provide crucial insights for JIA healthcare planning in Korea and Asia.
Area of Science:
- Rheumatology
- Pediatric Rheumatology
- Epidemiology
Background:
- Juvenile idiopathic arthritis (JIA) is a significant pediatric rheumatic disease.
- Understanding JIA epidemiology is crucial for public health and resource allocation.
- Korean healthcare data offers a unique population-based resource for JIA research.
Purpose of the Study:
- To determine the prevalence and incidence of juvenile idiopathic arthritis (JIA) in Korea.
- To analyze JIA epidemiologic data using national health insurance claims.
- To establish a baseline for JIA in Korea and inform future healthcare strategies.
Main Methods:
- Retrospective analysis of national Health Insurance Review and Assessment Service (HIRA) claims data.
- Inclusion of 1,728 patients diagnosed with JIA (ICD-10 M08, RIDR V133) aged under 16.
- Data analysis from January 1, 2010, to December 31, 2019, including age, gender, prevalence, and incidence calculations.
Main Results:
- Overall JIA prevalence was 15.9 per 100,000 individuals.
- Overall JIA incidence was 2.2 per 100,000 individuals.
- Prevalence and incidence rates were analyzed across different age and gender subgroups.
Conclusions:
- This study presents the first population-based epidemiologic data for JIA in Korea.
- Findings contribute to understanding the JIA burden in Korea and Asia.
- Results will support JIA healthcare planning and policy development.
More Related Videos
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
02:28Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
Published on: March 1, 2024
Related Concept Videos
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
The JAK-STAT Signaling Pathway
Steps in Outbreak Investigation