Progress in complex network theory-based studies on the associations between health-related behaviors and chronic non-communicable diseases
10.3760/cma.j.cn112338-20230715-00006
- VernacularTitle:基于复杂网络理论的健康相关行为与慢性非传染性疾病关系研究进展
- Author:
Shujuan YANG
1
;
Bin YU
;
Shu DONG
;
Changwei CAI
;
Hongyun LIU
;
Tingting YE
;
Peng JIA
Author Information
1. 四川大学华西公共卫生学院/华西第四医院，成都 610041
- Keywords:
Complex network;
Chronic non-communicable disease;
Health-related behavior;
Network analysis;
Health promotion
- From:
Chinese Journal of Epidemiology
2024;45(3):408-416
- CountryChina
- Language:Chinese
-
Abstract:
In recent years, the research focus on health-related behavior and chronic non-communicable diseases has shifted from the analysis on independent effects of multiple causes on a single outcome to the evaluation the complex relationships between multiple causes and multiple effects. Complex network theory, an important branch of system science, considers the relationships among factors in a network and can reveal how health-related behaviors interact with chronic diseases through a series of complex network models and indicators. This paper summarizes the definition and development of complex network theory and its commonly used models, indicators, and case studies in the field of health-related behavior and chronic disease to promote the application of complex network theory in the field of health and provide reference and tools for future research of the relationship between health-related behavior and chronic disease.
