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ID 69602
フルテキストURL
著者
Nishikage, Seiji Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine
Hirota, Yushi Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine
Nakagawa, Yasushi Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine
Ishii, Masamichi Center for Medical Informatics Intelligence, National Center for Global Health and Medicine
Ohsugi, Mitsuru Diabetes and Metabolism Information Center, Research Institute, National Center for Global Health and Medicine
Maeda, Eiichi Division of Medical Informatics, Department of Internal Medicine, Kobe University Graduate School of Medicine
Yoshimura, Kai Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine
Yamamoto, Akane Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine
Takayoshi, Tomofumi Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine
Kato, Takehiro Department of Diabetes, Endocrinology, and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine
Yabe, Daisuke Department of Diabetes, Endocrinology, and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine
Matsuhisa, Munehide Diabetes Therapeutics and Research Center, Institute of Advanced Medical Sciences, Tokushima University
Eguchi, Jun Department of Nephrology, Rheumatology, Endocrinology, and Metabolism, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences Kaken ID researchmap
Wada, Jun Department of Nephrology, Rheumatology, Endocrinology, and Metabolism, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences ORCID Kaken ID publons researchmap
Fujita, Yukihiro Department of Medicine, Shiga University of Medical Science
Kume, Shinji Department of Medicine, Shiga University of Medical Science
Maegawa, Hiroshi Department of Medicine, Shiga University of Medical Science
Miyake, Kana Department of Diabetes and Metabolic Disease, The University of Tokyo Graduate School of Medicine
Shojima, Nobuhiro Department of Diabetes and Metabolic Disease, The University of Tokyo Graduate School of Medicine
Yamauchi, Toshimasa Department of Diabetes and Metabolic Disease, The University of Tokyo Graduate School of Medicine
Yokote, Koutaro Chiba University
Ueki, Kohjiro Diabetes Research Center, Research Institute, National Center for Global Health and Medicine
Miyo, Kengo Center for Medical Informatics Intelligence, National Center for Global Health and Medicine
Ogawa, Wataru Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine
抄録
Aims/Introduction: Obesity triggers various health disorders, but information on these disorders in real-world settings remains limited. To address this knowledge gap, we developed a database directly linked to electronic medical records (EMRs). We here present the baseline data for this database, designated Japan Obesity Research Based on electronIc healTh Records (J-ORBIT).
Materials and Methods: Individuals with obesity disease diagnosed according to the criteria of the Japan Society for the Study of Obesity were registered in J-ORBIT from seven medical centers in Japan. We analyzed the relationship between body mass index (BMI), clinical characteristics, and the prevalence of obesity-related health disorders in this cohort.
Results: Data were obtained from 1,169 individuals, with a mean (±SD) age of 56.9 ± 15.3 years and a BMI of 31.4 ± 6.1 kg/m2. The prevalence of health disorders varied substantially across BMI categories, with a higher BMI being associated with an increased prevalence of hyperuricemia or gout, obstructive sleep apnea syndrome or obesity hypoventilation syndrome, musculoskeletal disorders, and obesity-related kidney disease, as well as with a higher frequency of both a family history of obesity and of a history of childhood obesity. Among individuals with a BMI of ≥25 kg/m2, the prevalence of hypertension and dyslipidemia did not increase with BMI, whereas that of glucose intolerance decreased with increasing BMI.
Conclusions: The J-ORBIT system, which collects clinical data in real time directly from EMRs, has the potential to provide insight into obesity and its associated health conditions, thereby contributing to improved care of affected individuals.
キーワード
Body mass index
Electronic medical records
Obesity
発行日
2025-03-27
出版物タイトル
Journal of Diabetes Investigation
16巻
6号
出版者
Wiley
開始ページ
1100
終了ページ
1111
ISSN
2040-1116
NCID
AA12488319
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© 2025 The Author(s).
論文のバージョン
publisher
PubMed ID
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1111/jdi.70021
ライセンス
http://creativecommons.org/licenses/by-nc/4.0/
Citation
Nishikage, S., Hirota, Y., Nakagawa, Y., Ishii, M., Ohsugi, M., Maeda, E., Yoshimura, K., Yamamoto, A., Takayoshi, T., Kato, T., Yabe, D., Matsuhisa, M., Eguchi, J., Wada, J., Fujita, Y., Kume, S., Maegawa, H., Miyake, K., Shojima, N., Yamauchi, T., Yokote, K., Ueki, K., Miyo, K. and Ogawa, W. (2025), Relation between obesity and health disorders as revealed by the J-ORBIT clinical information collection system directly linked to electronic medical records (J-ORBIT 1). J Diabetes Investig, 16: 1100-1111. https://doi.org/10.1111/jdi.70021
助成情報
16816396: ( 国立研究開発法人日本医療研究開発機構 / Japan Agency for Medical Research and Development )
( 日本イーライリリー / Eli Lilly Japan K.K. )
( ノボ ノルディスク ファーマ株式会社 / Novo Nordisk Pharma Ltd. )
( 日本ベーリンガーインゲルハイム株式会社 / Boehringer Ingelheim Japan )