SCI 발표논문

SCI 발표논문

← SCI 발표논문 목록

Endocrinol Metab (Seoul). 2023;38(1):10-24.

Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database.

, , , , ,

제1저자 조선욱, 김정희, 최한석 · 교신저자 김미경, 이은경

PMID 36758542 PMC10008661 DOI 10.3803/EnM.2023.102 IF 5.1 내분비대사내과
소속 (5)
  1. Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
  2. Division of Endocrinology and Metabolism, Department of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea.
  3. Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea.
  4. Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Korea.
  5. Department of Endocrinology and Metabolism, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.

Abstract

The Korean National Health Information Database (NHID) contains big data combining information obtained from the National Health Insurance Service and health examinations. Data are provided in the form of a cohort, and the NHID can be used to conduct longitudinal studies and research on rare diseases. Moreover, data on the cause and date of death are provided by Statistics Korea. Research and publications based on the NHID have increased explosively in the field of endocrine disorders. However, because the data were not collected for research purposes, studies using the NHID have limitations, particularly the need for the operational definition of diseases. In this review, we describe the characteristics of the Korean NHID, operational definitions of endocrine diseases used for research, and an overview of recent studies in endocrinology using the Korean NHID.

Keywords

Databases, factualEndocrine system diseasesObesityOsteoporosisRepublic of KoreaThyroid diseases

Figures

Fig. 1.
Fig. 1. Effects of obesity and abdominal obesity on the risks of other diseases according to studies analyzing the Korean National Health Information Database. ↑ depicts a linear increase in the risk, U depicts an increase in the risk both in low and high body mass index groups. COVID-19, coronavirus disease 2019.
Fig. 2.
Fig. 2. The number of articles about thyroid disease using Korean nationwide big data according to the year of publication.

그림 출처: PubMed Central 공개 논문 (PMC10008661)

Conflict of interest statement

CONFLICTS OF INTEREST . No potential conflict of interest relevant to this article was reported.

그 밖의 정보
출판 형태
Review, Journal Article
저널
Endocrinology and metabolism (Seoul, Korea) · eISSN 2093-5978
전자 출판
2023-02-09
MeSH
Humans · Big Data* · Endocrine System Diseases* / epidemiology · Longitudinal Studies · Databases, Factual · Republic of Korea / epidemiology
참고문헌
90편