A systematic approach to analyze the social determinants of cardiovascular disease

被引:21
|
作者
Martinez-Garcia, Mireya [1 ,2 ]
Salinas-Ortega, Magaly [1 ,3 ]
Estrada-Arriaga, Ivan [1 ,3 ]
Hernandez-Lemus, Enrique [4 ,5 ]
Garcia-Herrera, Rodrigo [4 ,6 ]
Vallejo, Maite [1 ]
机构
[1] Natl Inst Cardiol, Sociomed Res Dept, Mexico City, DF, Mexico
[2] Metropolitan Autonomous Univ UAM, Mexico City, DF, Mexico
[3] Univ Valley Mexico, Sch Hlth Sci, Mexico City, DF, Mexico
[4] Natl Inst Genom Med, Computat Genom Div, Mexico City, DF, Mexico
[5] Univ Nacl Autonoma Mexico, Ctr Complex Sci, Mexico City, DF, Mexico
[6] Univ Nacl Autonoma Mexico, Natl Lab Sustainabil, Inst Ecol, Mexico City, DF, Mexico
来源
PLOS ONE | 2018年 / 13卷 / 01期
关键词
VISUALIZATION; CYTOSCAPE; RISK;
D O I
10.1371/journal.pone.0190960
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cardiovascular diseases are the leading cause of human mortality worldwide. Among the many factors associated with the etiology, incidence, and evolution of such diseases; social and environmental issues constitute an important and often overlooked component. Understanding to a greater extent the scope to which such social determinants of cardiovascular diseases (SDCVD) occur as well as the connections among them would be useful for public health policy making. Here, we will explore the historical trends and associations among the main SDCVD in the published literature. Our aim will be finding meaningful relations among those that will help us to have an integrated view on this complex phenomenon by providing historical context and a relational framework. To uncover such relations, we used a data mining approach to the current literature, followed by network analysis of the interrelationships discovered. To this end, we systematically mined the PubMed/MEDLINE database for references of published studies on the subject, as outlined by the World Health Organization's framework on social determinants of health. The analyzed structured corpus consisted in circa 1190 articles categorized by means of the Medical Subheadings (MeSH) content-descriptor. The use of data analytics techniques allowed us to find a number of non-trivial connections among SDCVDs. Such relations may be relevant to get a deeper understanding of the social and environmental issues associated with cardiovascular disease and are often overlooked by traditional literature survey approaches, such as systematic reviews and meta-analyses.
引用
收藏
页数:25
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