Grant Details
Grant Number: |
1R21CA220670-01 Interpret this number |
Primary Investigator: |
Myneni, Sahiti |
Organization: |
University Of Texas Hlth Sci Ctr Houston |
Project Title: |
Characterization of the Manifestation of Stages and Processes of Smoking Behavior Change in Health-Related Social Intercourse |
Fiscal Year: |
2017 |
Abstract
Title: Characterization of the manifestation of stages and processes of smoking behavior change in
health-related social intercourse
Abstract
Chronic disease management is largely dependent upon individuals’ engagement in adoption and
modification of one or more health behaviors (e.g. medication adherence, daily exercise, smoking cessation)
over long term. Despite prevalence of theory-guided behavior change interventions, behavior modification is
oftentimes a chronic, relapsing effort in and of itself. The effect of social relationships and behavior change has
been well documented, nonetheless, rarely infused into health interventions. Our understanding of (a) the
mechanisms through which such influence affects human behaviors, and (b) how such influence can be
harnessed to improve the effectiveness of theory-guided behavioral interventions is limited. In the proposed
research, we will develop a set of semi-automated methods to characterize the interrelation between theory
driven stages of behavior change and social influence models of human behavior in group settings, as embedded
in user generated interactions on a health-related online community. While generally applicable, the methods
will be developed based on communications among individuals attempting to quit smoking in an online
community, QuitNet, the first online social network for smoking cessation. Advanced text analytics will be used
to identify and extract the stages and processes of behavior change. Stage-oriented network affiliation models
will then be used to characterize the interdependencies among social actors, behavioral processes, and
behavioral states. This research proposal will result in 1) novel methods to incorporate behavioral stages and
processes into network models of social influence; 2) scalable techniques to automate identification of behavioral
stage through text annotation of user interactions; and 3) new proposals for the development of digital
interventions and technology features that harness social ties and theoretical roots to support individuals
engaging in health behavior change and chronic disease management.
Publications
NewCope: A Theory-Linked Mobile Application for Stress Education and Management.
Authors: Carter L.
, Rogith D.
, Franklin A.
, Myneni S.
.
Source: Studies In Health Technology And Informatics, 2019-08-21 00:00:00.0; 264, p. 1150-1154.
PMID: 31438105
Related Citations
Characterization of Behavioral Transitions Through Social Media Analysis: A Mixed-Methods Approach.
Authors: Singh T.
, Perez C.A.
, Roberts K.
, Cobb N.
, Franklin A.
, Myneni S.
.
Source: Studies In Health Technology And Informatics, 2019-08-21 00:00:00.0; 264, p. 1228-1232.
PMID: 31438121
Related Citations
Exploring the Social Structure of a Health-Related Online Community for Tobacco Cessation: A Two-Mode Network Approach.
Authors: Manas S.
, Young L.E.
, Fujimoto K.
, Franklin A.
, Myneni S.
.
Source: Studies In Health Technology And Informatics, 2019-08-21 00:00:00.0; 264, p. 1268-1272.
PMID: 31438129
Related Citations
Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions.
Authors: Myneni S.
, Sridharan V.
, Cobb N.
, Cohen T.
.
Source: Journal Of Participatory Medicine, 2018-07-24 00:00:00.0; 10(3), p. e9.
EPub date: 2018-07-24 00:00:00.0.
PMID: 33052116
Related Citations