Dynamic path analysis on life course epidemiology.
10.3760/cma.j.issn.0254-6450.2018.01.018
- VernacularTitle:生命历程流行病学中的动态路径分析
- Author:
Z W TIAN
1
;
G Y ZENG
;
S L WU
;
L T HUANG
;
B Z WANG
;
H Z TAN
Author Information
1. Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410008, China.
- Publication Type:Journal Article
- Keywords:
Directed acyclic graphs;
Life course epidemiology;
Survival analysis;
Time-dependent covariate
- MeSH:
Chronic Disease/epidemiology*;
Epidemiologic Studies;
Humans;
Models, Theoretical;
Risk Factors;
Time
- From:
Chinese Journal of Epidemiology
2018;39(1):86-89
- CountryChina
- Language:Chinese
-
Abstract:
In the studies of modern epidemiology, exposure in a short term cannot fully elaborate the mechanism of the development of diseases or health-related events. Thus, lights have been shed on to life course epidemiology, which studies the exposures in early life time and their effects related to the development of chronic diseases. When exploring the mechanism leading from one exposure to an outcome and its effects through other factors, due to the existence of time-variant effects, conventional statistic methods could not meet the needs of etiological analysis in life course epidemiology. This paper summarizes the dynamic path analysis model, including the model structure and significance, and its application in life course epidemiology. Meanwhile, the procedure of data processing and etiology analyzing were introduced. In conclusion, dynamic path analysis is a useful tool which can be used to better elucidate the mechanisms that underlie the etiology of chronic diseases.
