Advancing Cancer Prevention and Behavior Theory in the Era of Big Data.
10.15430/JCP.2016.21.3.201
- Author:
Audie A ATIENZA
1
;
Katrina J SERRANO
;
William T RILEY
;
Richard P MOSER
;
William M KLEIN
Author Information
1. ICF, Rockville, MD, USA. Audie.Atienza@icf.com
- Publication Type:Original Article
- Keywords:
Cancer;
Prevention;
Data set;
Health behavior
- MeSH:
Dataset;
Health Behavior;
Models, Theoretical
- From:Journal of Cancer Prevention
2016;21(3):201-206
- CountryRepublic of Korea
- Language:English
-
Abstract:
The era of "Big Data" presents opportunities to substantively address cancer prevention and control issues by improving health behaviors and refining theoretical models designed to understand and intervene in those behaviors. Yet, the terms “model” and “Big Data” have been used rather loosely, and clarification of these terms is required to advance the science in this area. The objectives of this paper are to discuss conceptual definitions of the terms "model" and "Big Data", as well as examine the promises and challenges of Big Data to advance cancer prevention and control research using behavioral theories. Specific recommendations for harnessing Big Data for cancer prevention and control are offered.
