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)
ABSTRACT 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 dat...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
|
| Series: | Journal of Diabetes Investigation |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/jdi.70021 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849696632134696960 |
|---|---|
| author | Seiji Nishikage Yushi Hirota Yasushi Nakagawa Masamichi Ishii Mitsuru Ohsugi Eiichi Maeda Kai Yoshimura Akane Yamamoto Tomofumi Takayoshi Takehiro Kato Daisuke Yabe Munehide Matsuhisa Jun Eguchi Jun Wada Yukihiro Fujita Shinji Kume Hiroshi Maegawa Kana Miyake Nobuhiro Shojima Toshimasa Yamauchi Koutaro Yokote Kohjiro Ueki Kengo Miyo Wataru Ogawa |
| author_facet | Seiji Nishikage Yushi Hirota Yasushi Nakagawa Masamichi Ishii Mitsuru Ohsugi Eiichi Maeda Kai Yoshimura Akane Yamamoto Tomofumi Takayoshi Takehiro Kato Daisuke Yabe Munehide Matsuhisa Jun Eguchi Jun Wada Yukihiro Fujita Shinji Kume Hiroshi Maegawa Kana Miyake Nobuhiro Shojima Toshimasa Yamauchi Koutaro Yokote Kohjiro Ueki Kengo Miyo Wataru Ogawa |
| author_sort | Seiji Nishikage |
| collection | DOAJ |
| description | ABSTRACT 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. |
| format | Article |
| id | doaj-art-1669d69f87d24c499445d496726ad8a0 |
| institution | DOAJ |
| issn | 2040-1116 2040-1124 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Diabetes Investigation |
| spelling | doaj-art-1669d69f87d24c499445d496726ad8a02025-08-20T03:19:24ZengWileyJournal of Diabetes Investigation2040-11162040-11242025-06-011661100111110.1111/jdi.70021Relation between obesity and health disorders as revealed by the J‐ORBIT clinical information collection system directly linked to electronic medical records (J‐ORBIT 1)Seiji Nishikage0Yushi Hirota1Yasushi Nakagawa2Masamichi Ishii3Mitsuru Ohsugi4Eiichi Maeda5Kai Yoshimura6Akane Yamamoto7Tomofumi Takayoshi8Takehiro Kato9Daisuke Yabe10Munehide Matsuhisa11Jun Eguchi12Jun Wada13Yukihiro Fujita14Shinji Kume15Hiroshi Maegawa16Kana Miyake17Nobuhiro Shojima18Toshimasa Yamauchi19Koutaro Yokote20Kohjiro Ueki21Kengo Miyo22Wataru Ogawa23Division of Diabetes and Endocrinology, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe JapanDivision of Diabetes and Endocrinology, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe JapanDivision of Diabetes and Endocrinology, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe JapanCenter for Medical Informatics Intelligence National Center for Global Health and Medicine Tokyo JapanDiabetes and Metabolism Information Center Research Institute, National Center for Global Health and Medicine Tokyo JapanDivision of Medical Informatics, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe JapanDivision of Diabetes and Endocrinology, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe JapanDivision of Diabetes and Endocrinology, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe JapanDivision of Diabetes and Endocrinology, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe JapanDepartment of Diabetes, Endocrinology, and Metabolism and Department of Rheumatology and Clinical Immunology Gifu University Graduate School of Medicine Gifu JapanDepartment of Diabetes, Endocrinology, and Metabolism and Department of Rheumatology and Clinical Immunology Gifu University Graduate School of Medicine Gifu JapanDiabetes Therapeutics and Research Center, Institute of Advanced Medical Sciences Tokushima University Tokushima JapanDepartment of Nephrology, Rheumatology, Endocrinology, and Metabolism Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences Okayama JapanDepartment of Nephrology, Rheumatology, Endocrinology, and Metabolism Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences Okayama JapanDepartment of Medicine Shiga University of Medical Science Otsu Shiga JapanDepartment of Medicine Shiga University of Medical Science Otsu Shiga JapanDepartment of Medicine Shiga University of Medical Science Otsu Shiga JapanDepartment of Diabetes and Metabolic Disease The University of Tokyo Graduate School of Medicine Tokyo JapanDepartment of Diabetes and Metabolic Disease The University of Tokyo Graduate School of Medicine Tokyo JapanDepartment of Diabetes and Metabolic Disease The University of Tokyo Graduate School of Medicine Tokyo JapanChiba University Chiba JapanDiabetes Research Center, Research Institute National Center for Global Health and Medicine Tokyo JapanCenter for Medical Informatics Intelligence National Center for Global Health and Medicine Tokyo JapanDivision of Diabetes and Endocrinology, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe JapanABSTRACT 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.https://doi.org/10.1111/jdi.70021Body mass indexElectronic medical recordsObesity |
| spellingShingle | Seiji Nishikage Yushi Hirota Yasushi Nakagawa Masamichi Ishii Mitsuru Ohsugi Eiichi Maeda Kai Yoshimura Akane Yamamoto Tomofumi Takayoshi Takehiro Kato Daisuke Yabe Munehide Matsuhisa Jun Eguchi Jun Wada Yukihiro Fujita Shinji Kume Hiroshi Maegawa Kana Miyake Nobuhiro Shojima Toshimasa Yamauchi Koutaro Yokote Kohjiro Ueki Kengo Miyo Wataru Ogawa 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) Journal of Diabetes Investigation Body mass index Electronic medical records Obesity |
| title | 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) |
| title_full | 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) |
| title_fullStr | 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) |
| title_full_unstemmed | 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) |
| title_short | 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) |
| title_sort | 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 |
| topic | Body mass index Electronic medical records Obesity |
| url | https://doi.org/10.1111/jdi.70021 |
| work_keys_str_mv | AT seijinishikage relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT yushihirota relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT yasushinakagawa relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT masamichiishii relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT mitsuruohsugi relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT eiichimaeda relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT kaiyoshimura relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT akaneyamamoto relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT tomofumitakayoshi relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT takehirokato relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT daisukeyabe relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT munehidematsuhisa relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT juneguchi relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT junwada relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT yukihirofujita relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT shinjikume relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT hiroshimaegawa relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT kanamiyake relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT nobuhiroshojima relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT toshimasayamauchi relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT koutaroyokote relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT kohjiroueki relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT kengomiyo relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 AT wataruogawa relationbetweenobesityandhealthdisordersasrevealedbythejorbitclinicalinformationcollectionsystemdirectlylinkedtoelectronicmedicalrecordsjorbit1 |