19세 미만 인구의 정신장애 진단 분포: 국민건강보험 자료를 중심으로The Diagnostic Distribution of Psychiatric Disorders among the Population Under 19 Years Old: Based on the National Insurance Data
- Other Titles
- The Diagnostic Distribution of Psychiatric Disorders among the Population Under 19 Years Old: Based on the National Insurance Data
- Authors
- 황보람; 장혜정; 홍민하; 조성우; 반건호
- Issue Date
- Jun-2016
- Publisher
- 대한소아청소년 정신의학회
- Keywords
- Treatment; Prevalence; Child; Adolescent; Psychiatric Diagnosis; National Insurance
- Citation
- 소아 청소년 정신의학, v.27, no.2, pp.139 - 145
- Indexed
- KCI
- Journal Title
- 소아 청소년 정신의학
- Volume
- 27
- Number
- 2
- Start Page
- 139
- End Page
- 145
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/154403
- DOI
- 10.5765/jkacap.2016.27.2.139
- ISSN
- 1225-729X
- 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.
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