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肥胖及其相关并发症的患病率与共病网络分析:一项基于233,004人的真实世界研究

Prevalence and Comorbidity Network Analysis of Obesity and Related Complications: A Real-World Study Based on 233,004 Individuals.

作者信息

Xu Yaxin, Jia Wenchang, Niu Xiaoxuan, Wen Jing, Ji Dingrong, Li Xiaopan, Liu Ming, Jiang Sunfang

机构信息

Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.

Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.

出版信息

Diabetes Metab Syndr Obes. 2025 Sep 6;18:3297-3314. doi: 10.2147/DMSO.S544726. eCollection 2025.

Abstract

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.

摘要

目的

通过大规模真实世界数据确定超重/肥胖及其主要并发症的患病率,并绘制共病关系图。

患者与方法

这项横断面研究纳入了2021年1月至2024年4月接受常规健康检查的个体。系统收集临床和人口统计学数据。使用标准化标准诊断与肥胖相关的并发症。描述性统计评估患病率;相关性和网络分析表征共病关系。

结果

共纳入233,004名参与者(男性占57.5%;平均年龄43.51±13.28岁)。其中,41.1%超重,6.1%肥胖。最常见的并发症是血脂异常(30.9%)、脂肪肝(26.4%)和高尿酸血症(20.0%)。超过60%的参与者至少有一种与肥胖相关的共病。网络分析表明存在一个主要疾病簇,包括超重/肥胖、脂肪肝、高血压、糖尿病和颈动脉斑块,糖尿病在将代谢异常与心血管风险联系起来方面起关键作用。

结论

在这个大规模检查人群中超重患病率很高,且常与多种代谢和心血管疾病共存。网络分析突出了糖尿病作为核心疾病,支持对超重个体进行早期针对性干预,以减轻肥胖相关的慢性病负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5be4/12423265/2a58060e8c38/DMSO-18-3297-g0001.jpg

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