Related Experiment Video
Updated: Sep 14, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Exploring Physical Activity Among Community Residents: Combining the Integrated Behavioral Model and Social Network
Megan S Patterson1, Tyler Prochnow, Allison N Francis
1Department of Health Behavior, Texas A&M University School of Public Health, College Station, Texas.
Purpose:
Combining the Integrated Behavioral Model (IBM) and Social Network Analysis (SNA), this study explored individual and interpersonal-level factors related to adults meeting physical activity (PA) recommendations.
Methods:
250 adults (66.8% women, 70.1% non-Hispanic white, age = 38.65 ± 12.93) recruited through local events and social media completed online surveys. Logistic regression analysis assessed factors related to meeting PA recommendations, including demographic characteristics, barriers to PA, injunctive norms, perceived behavioral control, intention, and descriptive norms measured via SNA.
Results:
40.6% (n = 99) of participants met minimum PA recommendations. Higher perceived behavioral control (OR = 1.47, P < .001), intention (OR = 1.16, P = .01), having more female network members (OR = 1.02, P = .04) and more network members who were active with the participant (OR = 1.03, P < .001) were associated with increased odds of meeting PA recommendations. Network density scores (OR = .04, P < .01), decreased the odds of meeting PA recommendations.
Conclusions:
Our findings highlight the importance of a person's immediate social context, more so than global social norms, on their PA behavior. In addition to increasing individual-level perceived behavioral control and intentions, efforts aimed at promoting PA should focus on leveraging aspects of social networks that translate to direct social influence on individual behavior. This study affirms SNA as a useful way to assess descriptive norms defined in the IBM.
More Related Videos
08:53Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
05:59Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
Related Concept Videos
Community Based Intervention
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Models of Health Promotion and Illness Prevention II
The agent-host-environment model states that disease results...
Models of Health Promotion and Illness Prevention I
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Relationship Formation
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...