Endocrinol Metab.  2023 Feb;38(1):10-24. 10.3803/EnM.2023.102.

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

Affiliations
  • 1Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
  • 2Division of Endocrinology and Metabolism, Department of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
  • 3Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
  • 4Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Korea
  • 5Department 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.

Keyword

Databases, factual; Endocrine system diseases; Thyroid diseases; Obesity; Osteoporosis; Republic of Korea

Figure

  • 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. The number of articles about thyroid disease using Korean nationwide big data according to the year of publication.


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Article
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