Yaxin Xu, Wenchang Jia, Xiaoxuan Niu, Jing Wen, Dingrong Ji, Xiaopan Li, Ming Liu, Sunfang Jiang
{"title":"肥胖症及相关并发症的患病率和共病网络分析:一项基于233,004个人的真实世界研究","authors":"Yaxin Xu, Wenchang Jia, Xiaoxuan Niu, Jing Wen, Dingrong Ji, Xiaopan Li, Ming Liu, Sunfang Jiang","doi":"10.2147/DMSO.S544726","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To determine the prevalence of overweight/obesity and their major complications, and to map comorbidity relationships by means of large-scale, real-world data.</p><p><strong>Patients and methods: </strong>This cross-sectional study included individuals undergoing routine health examinations from January 2021 to April 2024. Clinical and demographic data were systematically collected. Obesity-related complications were diagnosed using standardized criteria. Descriptive statistics assessed prevalence; correlation and network analyses characterized comorbidity relationships.</p><p><strong>Results: </strong>A total of 233,004 participants (57.5% male; mean age 43.51 ± 13.28 years) were enrolled. Among these, 41.1% were overweight and 6.1% had obesity. The most prevalent complications were dyslipidemia (30.9%), fatty liver disease (26.4%), and hyperuricemia (20.0%). Over 60% of participants had at least one obesity-related comorbidity. Network analysis indicated a central disease cluster comprising overweight/obesity, fatty liver disease, hypertension, diabetes, and carotid plaque, with diabetes playing a key role linking metabolic abnormalities to cardiovascular risks.</p><p><strong>Conclusion: </strong>Overweight prevalence was high in this large-scale examined population and frequently coexisted with multiple metabolic and cardiovascular conditions. Network analysis highlighted diabetes as a central condition, supporting early targeted interventions for overweight individuals to reduce obesity-related chronic disease burden.</p>","PeriodicalId":11116,"journal":{"name":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","volume":"18 ","pages":"3297-3314"},"PeriodicalIF":3.0000,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12423265/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prevalence and Comorbidity Network Analysis of Obesity and Related Complications: A Real-World Study Based on 233,004 Individuals.\",\"authors\":\"Yaxin Xu, Wenchang Jia, Xiaoxuan Niu, Jing Wen, Dingrong Ji, Xiaopan Li, Ming Liu, Sunfang Jiang\",\"doi\":\"10.2147/DMSO.S544726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To determine the prevalence of overweight/obesity and their major complications, and to map comorbidity relationships by means of large-scale, real-world data.</p><p><strong>Patients and methods: </strong>This cross-sectional study included individuals undergoing routine health examinations from January 2021 to April 2024. Clinical and demographic data were systematically collected. Obesity-related complications were diagnosed using standardized criteria. Descriptive statistics assessed prevalence; correlation and network analyses characterized comorbidity relationships.</p><p><strong>Results: </strong>A total of 233,004 participants (57.5% male; mean age 43.51 ± 13.28 years) were enrolled. Among these, 41.1% were overweight and 6.1% had obesity. The most prevalent complications were dyslipidemia (30.9%), fatty liver disease (26.4%), and hyperuricemia (20.0%). Over 60% of participants had at least one obesity-related comorbidity. Network analysis indicated a central disease cluster comprising overweight/obesity, fatty liver disease, hypertension, diabetes, and carotid plaque, with diabetes playing a key role linking metabolic abnormalities to cardiovascular risks.</p><p><strong>Conclusion: </strong>Overweight prevalence was high in this large-scale examined population and frequently coexisted with multiple metabolic and cardiovascular conditions. Network analysis highlighted diabetes as a central condition, supporting early targeted interventions for overweight individuals to reduce obesity-related chronic disease burden.</p>\",\"PeriodicalId\":11116,\"journal\":{\"name\":\"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy\",\"volume\":\"18 \",\"pages\":\"3297-3314\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12423265/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/DMSO.S544726\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/DMSO.S544726","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Prevalence and Comorbidity Network Analysis of Obesity and Related Complications: A Real-World Study Based on 233,004 Individuals.
Purpose: To determine the prevalence of overweight/obesity and their major complications, and to map comorbidity relationships by means of large-scale, real-world data.
Patients and methods: This cross-sectional study included individuals undergoing routine health examinations from January 2021 to April 2024. Clinical and demographic data were systematically collected. Obesity-related complications were diagnosed using standardized criteria. Descriptive statistics assessed prevalence; correlation and network analyses characterized comorbidity relationships.
Results: A total of 233,004 participants (57.5% male; mean age 43.51 ± 13.28 years) were enrolled. Among these, 41.1% were overweight and 6.1% had obesity. The most prevalent complications were dyslipidemia (30.9%), fatty liver disease (26.4%), and hyperuricemia (20.0%). Over 60% of participants had at least one obesity-related comorbidity. Network analysis indicated a central disease cluster comprising overweight/obesity, fatty liver disease, hypertension, diabetes, and carotid plaque, with diabetes playing a key role linking metabolic abnormalities to cardiovascular risks.
Conclusion: Overweight prevalence was high in this large-scale examined population and frequently coexisted with multiple metabolic and cardiovascular conditions. Network analysis highlighted diabetes as a central condition, supporting early targeted interventions for overweight individuals to reduce obesity-related chronic disease burden.
期刊介绍:
An international, peer-reviewed, open access, online journal. The journal is committed to the rapid publication of the latest laboratory and clinical findings in the fields of diabetes, metabolic syndrome and obesity research. Original research, review, case reports, hypothesis formation, expert opinion and commentaries are all considered for publication.