
| 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
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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
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| 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
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| 発行日 | 2025-03-27
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| 出版物タイトル |
Journal of Diabetes Investigation
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| 巻 | 16巻
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| 号 | 6号
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| 出版者 | Wiley
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| 開始ページ | 1100
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| 終了ページ | 1111
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| ISSN | 2040-1116
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| NCID | AA12488319
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| 資料タイプ |
学術雑誌論文
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| 言語 |
英語
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| OAI-PMH Set |
岡山大学
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| 著作権者 | © 2025 The Author(s).
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| 論文のバージョン | publisher
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| PubMed ID | |
| DOI | |
| Web of Science KeyUT | |
| 関連URL | isVersionOf https://doi.org/10.1111/jdi.70021
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| ライセンス | http://creativecommons.org/licenses/by-nc/4.0/
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| 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
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| 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 )
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