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使用网络科学工具对2型糖尿病研究的环境风险因素进行概述。

An overview of environmental risk factors for type 2 diabetes research using network science tools.

作者信息

Cao Xia, Yu Huixin, Quan Yu, Qin Jing, Zhao Yuhong, Yang Xiaochun, Gao Shanyan

机构信息

Department of Data Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.

School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China.

出版信息

Digit Health. 2024 Aug 6;10:20552076241271722. doi: 10.1177/20552076241271722. eCollection 2024 Jan-Dec.

Abstract

OBJECTIVE

Current studies lack a comprehensive understanding of the environmental factors influencing type 2 diabetes, hindering an in-depth grasp of the overall etiology. To address this gap, we utilized network science tools to highlight research trends, knowledge structures, and intricate relationships among factors, offering a new perspective for a profound understanding of the etiology.

METHODS

The Web of Science database was employed to retrieve documents relevant to environmental risk factors in type 2 diabetes from 2012 to 2024. Bibliometric analysis using Microsoft Excel and OriginPro provided a detailed scientific production profile, including articles, journals, countries, and authors. Co-occurrence analysis was employed to determine the collaboration state and knowledge structures, utilizing social network tools such as Gephi, Tableau, and R Studio. Additionally, theme evolutionary analysis was conducted using SciMAT to offer insights into research trends.

RESULTS

The publications and themes related to environmental factors in type 2 diabetes have consistently risen, shaping a well-established research domain. Lifestyle environmental factors, particularly diet and nutrition, stand out as the most represented and rapidly growing topics. Key focal hotspots include sedentary and digital behavior, PM, ethnicity and socioeconomic status, traffic and greenspace, and depression. The theme evolutionary analysis revealed three distinct paths: (1) oxidative stress-air pollutants-PM-air pollutants; (2) calcium-metabolic syndrome-cardiovascular disease; and (3) polychlorinated biphenyls (PCBs)-persistent organic pollutants (POPs)-obesity.

CONCLUSIONS

Digital behavior signifies a novel approach for preventing and managing type 2 diabetes. The influence of PM and calcium on oxidative stress and abnormal vascular contraction is intricately linked to microvascular diabetes complications. The transition from PCBs and POPs to obesity underscores the disruption of endocrine function by chemicals, elevating the risk of diabetes. Future studies should explore the connections between environmental factors, microvascular complications, and long-term outcomes in diabetes.

摘要

目的

目前的研究对影响2型糖尿病的环境因素缺乏全面了解,阻碍了对整体病因的深入把握。为弥补这一差距,我们利用网络科学工具来突出研究趋势、知识结构以及各因素之间的复杂关系,为深入理解病因提供新视角。

方法

利用科学网数据库检索2012年至2024年与2型糖尿病环境危险因素相关的文献。使用微软Excel和OriginPro进行文献计量分析,提供详细的科研产出概况,包括文章、期刊、国家和作者。采用共现分析来确定合作状态和知识结构,利用Gephi、Tableau和R Studio等社会网络工具。此外,使用SciMAT进行主题演化分析以洞察研究趋势。

结果

与2型糖尿病环境因素相关的出版物和主题持续增加,形成了一个成熟的研究领域。生活方式环境因素,尤其是饮食和营养,是最具代表性且增长迅速的主题。关键焦点热点包括久坐和数字行为、颗粒物、种族和社会经济地位、交通和绿地以及抑郁症。主题演化分析揭示了三条不同路径:(1)氧化应激-空气污染物-颗粒物-空气污染物;(2)钙-代谢综合征-心血管疾病;(3)多氯联苯-持久性有机污染物-肥胖。

结论

数字行为是预防和管理2型糖尿病的新方法。颗粒物和钙对氧化应激和血管异常收缩的影响与糖尿病微血管并发症密切相关。从多氯联苯和持久性有机污染物到肥胖的转变凸显了化学物质对内分泌功能的破坏,增加了糖尿病风险。未来研究应探索环境因素、微血管并发症与糖尿病长期结局之间的联系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a361/11304486/129a50b85882/10.1177_20552076241271722-fig1.jpg

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