Nishikage Seiji, Hirota Yushi, Nakagawa Yasushi, Ishii Masamichi, Ohsugi Mitsuru, Maeda Eiichi, Yoshimura Kai, Yamamoto Akane, Takayoshi Tomofumi, Kato Takehiro, Yabe Daisuke, Matsuhisa Munehide, Eguchi Jun, Wada Jun, Fujita Yukihiro, Kume Shinji, Maegawa Hiroshi, Miyake Kana, Shojima Nobuhiro, Yamauchi Toshimasa, Yokote Koutaro, Ueki Kohjiro, Miyo Kengo, Ogawa Wataru
Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Center for Medical Informatics Intelligence, National Center for Global Health and Medicine, Tokyo, Japan.
J Diabetes Investig. 2025 Jun;16(6):1100-1111. doi: 10.1111/jdi.70021. Epub 2025 Mar 27.
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).
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.
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/m. 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/m, the prevalence of hypertension and dyslipidemia did not increase with BMI, whereas that of glucose intolerance decreased with increasing BMI.
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.
目的/引言:肥胖引发各种健康问题,但现实环境中关于这些问题的信息仍然有限。为填补这一知识空白,我们开发了一个直接与电子病历(EMR)相连的数据库。我们在此展示该数据库的基线数据,该数据库名为基于电子健康记录的日本肥胖研究(J-ORBIT)。
根据日本肥胖学会的标准诊断为肥胖症的个体在J-ORBIT中进行登记,这些个体来自日本的七个医疗中心。我们分析了该队列中体重指数(BMI)、临床特征与肥胖相关健康问题患病率之间的关系。
共获得1169名个体的数据,平均(±标准差)年龄为56.9±15.3岁,BMI为31.4±6.1kg/m²。不同BMI类别中健康问题的患病率差异很大,BMI越高,高尿酸血症或痛风、阻塞性睡眠呼吸暂停综合征或肥胖低通气综合征、肌肉骨骼疾病以及肥胖相关肾病的患病率越高,同时肥胖家族史和儿童肥胖史的频率也越高。在BMI≥25kg/m²的个体中,高血压和血脂异常的患病率并未随BMI升高而增加,而糖耐量异常的患病率则随BMI升高而降低。
J-ORBIT系统可直接从电子病历中实时收集临床数据,有潜力深入了解肥胖及其相关健康状况,从而有助于改善对受影响个体的护理。