The Diagnostic Distribution of Psychiatric Disorders among the Population Under 19 Years Old: Based on the National Insurance Data.
10.5765/jkacap.2016.27.2.139
- Author:
Ram HWANGBO
1
;
Hyejung CHANG
;
Minha HONG
;
Seongwoo CHO
;
Geon Ho BAHN
Author Information
1. Department of Psychiatry, Graduate School, Kyung Hee University, Seoul, Korea.
- Publication Type:Original Article
- Keywords:
Treatment;
Prevalence;
Child;
Adolescent;
Psychiatric Diagnosis;
National Insurance
- MeSH:
Adolescent;
Child;
Diagnosis;
Female;
Humans;
Insurance*;
Insurance, Health;
Male;
Mental Disorders;
Prevalence
- From:Journal of the Korean Academy of Child and Adolescent Psychiatry
2016;27(2):139-145
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVES: As a preliminary study on the prevalence of mental disorders in Korean children and adolescents, we investigated the diagnosis distribution of mental disorders in people under 19 years of age using the health insurance data. METHODS: From the 2011 health insurance data of 1,375,842 people, the data of 286,465 people under 19 years old were extracted. Among them, we selected 10,778 with psychiatric diagnoses; male 6,453 (59.9%) and female 4,325 (40.1%). The frequency of psychiatric diagnoses in the males was 10,140 (62.7%) cases, which was significantly higher than that (6,031; 37.3%) in the females. We categorized the groups into 3 year intervals. RESULTS: In the males under 3 years old, F80 was the most prevalent diagnosis, followed by F98. F90 and F41 were the most prevalent in the 4-15 and above 16 years old groups, respectively. In the females, F98 was the most prevalent in the children up to 3 years old, while F80 was the second most prevalent. In the 4-6 years of age group, F98 was the most prevalent, followed by F93. F90 and F41 were predominant in the 7-12 and above 12 years old groups, respectively. CONCLUSION: In the analysis of the frequency of diagnosis of mental disorders in the population under 19 years old, there were significant differences in the distribution based on age and gender.
