常规研究方法一般是在线形模型的基础探讨遗传、膳食和身体活动等多种因素对肥胖症的影响,很难对肥胖症影响因素做出全面的、系统性的描述和分析,无法有效预防和控制肥胖。以英国权威科学家提出的影响肥胖的八大类别109个变量为基础,在复杂网络研究框架下定性和定量分析了所有变量之间的相互影响及其拓扑结构特征,探讨了影响成人超重肥胖的重要因素,并研究了多尺度下肥胖症各因素之间的关联性。
The conventional research method of obesity is generally on the basis of linear models, and only some important factors like genetic, dietary and physical activity have been discussed. Actually, the above linear method is difficult not only for making a comprehensive systematic description and analysis for obesity influence factors, but also for effectively preventing and controlling the adult obesity. In this study, we used the 109 variables in eight categories proposed by the British authority scientists to study obesity, and we qualitatively and quantitatively analyzed the interaction between all the variables and their network topological structure based on complex network theory. Furthermore, we explored important factors of influencing adult overweight and obesity, and we studied the multi-scale correlation among various factors.
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