Assessing Social Network Influences on Adult Physical Activity Using Social Network Analysis: A Systematic Review

2021 ◽  
pp. 089011712110607
Author(s):  
Tyler Prochnow ◽  
Megan S. Patterson
Keyword(s):  
Physical Activity ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Connectedness ◽  
Data Extraction ◽  
Network Size ◽  
Individual Level ◽  
Final Sample ◽  
Complex Picture

Objective Social network analysis (SNA) can measure social connectedness and assess impact of interpersonal connections on health behaviors, including physical activity (PA). This paper aims to systematically review adult PA studies using SNA to understand important social network concepts relative to PA. Data Source A search was performed using PsycINFO, MEDLINE, PubMed, and Web of Science. Study Inclusion and Exclusion Criteria To be included in the search, articles needed to 1) include a measure of PA, 2) conduct an SNA in which specific relationships were measured, and 3) conduct an analysis between social network measures and PA. Data Extraction Key study elements including network design and results were extracted. Data Synthesis Data were synthesized to answer 2 questions: 1) how has adult PA been investigated using SNA approaches and 2) how is an adult’s social network associated with PA behaviors? Results A final sample of 28 articles remained from an initial 11 085 articles. Network size, homophily, network composition, and network exposure to PA were all associated with individual level PA across studies. Lastly, longitudinal and intervention studies showed a more complex picture of social influence and diffusion of PA behavior. Conclusions Adults’ PA behaviors are influenced by their networks. Capitalizing on this influence, researchers should engage not just individual behavior change but also the social influences present within the person’s life.

Social Network Analysis in Child and Adolescent Physical Activity Research: A Systematic Literature Review

2020 ◽  
Vol 17 (2) ◽  
pp. 250-260 ◽  
Author(s):  
Tyler Prochnow ◽  
Haley Delgado ◽  
Megan S. Patterson ◽  
M. Renée Umstattd Meyer
Keyword(s):  
Physical Activity ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Children And Adolescents ◽  
Child And Adolescent ◽  
Adolescent Physical Activity ◽  
Final Sample ◽  
Network Composition ◽  
The Impact

Background: Regular physical activity (PA) has many benefits for children and adolescents, yet many do not meet PA recommendations. Social context is important for promoting or discouraging PA among children and adolescents. This review aimed to identify social network variables related to PA among children and adolescents. Methods: A systematic review of the literature was conducted in September 2018 using PsycINFO, MEDLINE, PubMed, and Web of Science. Included articles needed to (1) be focused on children (aged 5–11 y) or adolescents (aged 12–17 y), (2) include a measure of PA, (3) include a measure of egocentric or sociocentric social connection in which alters were nominated, and (4) perform an analysis between network data and PA. Results: A search of 11,824 articles was refined to a final sample of 29 articles. Social network themes and concepts such as homophily, centrality, and network composition were related to child and adolescent PA behavior across the literature. Conclusions: The impact of an individual’s social network is evident on their PA behaviors. More research is needed to examine why these networks form in relation to PA and how interventions can utilize social network analysis to more effectively promote PA, especially in underserved and minority populations.

Using Social Network Analysis to Better Understand Compulsive Exercise Behavior Among a Sample of Sorority Members

2017 ◽  
Vol 14 (5) ◽  
pp. 360-367 ◽  
Author(s):  
Megan S. Patterson ◽  
Patricia Goodson
Keyword(s):  
Physical Activity ◽  
Eating Disorders ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Body Dissatisfaction ◽  
Group Dynamics ◽  
Exercise Behavior ◽  
Quadratic Assignment ◽  
Compulsive Exercise

Background:Compulsive exercise, a form of unhealthy exercise often associated with prioritizing exercise and feeling guilty when exercise is missed, is a common precursor to and symptom of eating disorders. College-aged women are at high risk of exercising compulsively compared with other groups. Social network analysis (SNA) is a theoretical perspective and methodology allowing researchers to observe the effects of relational dynamics on the behaviors of people.Methods:SNA was used to assess the relationship between compulsive exercise and body dissatisfaction, physical activity, and network variables. Descriptive statistics were conducted using SPSS, and quadratic assignment procedure (QAP) analyses were conducted using UCINET.Results:QAP regression analysis revealed a statistically significant model (R2 = .375, P < .0001) predicting compulsive exercise behavior. Physical activity, body dissatisfaction, and network variables were statistically significant predictor variables in the QAP regression model.Discussion:In our sample, women who are connected to “important” or “powerful” people in their network are likely to have higher compulsive exercise scores. This result provides healthcare practitioners key target points for intervention within similar groups of women. For scholars researching eating disorders and associated behaviors, this study supports looking into group dynamics and network structure in conjunction with body dissatisfaction and exercise frequency.

scholarly journals Initial social network analysis of producers working towards sustainability suggests weak ties and potential fragmentation

2022 ◽  
Vol 3 (1) ◽  
pp. 4-18
Author(s):  
Kathryn A. Stofer ◽  
James Fulton ◽  
Heather Nesbitt ◽  
Anna Prizzia ◽  
Karen A. Garrett ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Food System ◽  
Positive Impact ◽  
Network Size ◽  
Sustainable Production ◽  
Systematic Research ◽  
Regional Food ◽  
The Status

For farmers to adopt and maintain sustainable farming practices, they must have the resources and network to succeed with this work and must realize a positive impact on their business model. As a food system is ultimately made up of the people, organizations, and institutions that grow, move, buy and sell food, we must understand who is at the center of this network, who is well-connected, and who is peripheral. Within a particular regional food system in a highly productive southeastern U.S. state, the network of local producers interested in sustainable production, including environmental and economic components, seems to be growing. However, it is unclear who benefits from this system and whether this system is growing in a way that encourages and enhances the benefits for sustainable agriculture. Existing evidence for the network size and its vulnerabilities has been anecdotal, from Extension agents and their contacts with individual producers, rather than based on systematic research. We used social network analysis to understand the status of the system and its constituents. Connections between producers appear to be weak overall with potential fragmentation, suggesting a fragility that could easily derail efforts to increase sustainable production in the region.  

scholarly journals Understanding Prevention Networks in a Local Government Area: Insights From a Social Network Analysis Among Western Australian Nutrition, Physical Activity, and Obesity Prevention Programs

2021 ◽  
pp. 152483992110506
Author(s):  
Jonine Jancey ◽  
Abbie-Clare Vidler ◽  
Justine E. Leavy ◽  
Dan Chamberlain ◽  
Therese Riley ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Local Government ◽  
Obesity Prevention ◽  
Local Government Area ◽  
Prevention Activities ◽  
Bounded Area ◽  
Western Australian

This study aimed to use systems thinking tools to understand network relationships to inform discussions, policy, and practice to improve nutrition, physical activity, and overweight/obesity prevention activities in a Western Australian local government area. An audit of nutrition, physical activity, and obesity prevention activities was conducted, and identified organizations were invited to participate in an organizational network survey. Social network analysis (SNA) determined the extent to which organizations shared information, knowledge, and resources; engaged in joint program planning; applied for and shared funding; and identified operational barriers and contributors. SNA data were mapped and analyzed using UCINET 6 and Netdraw software. Five organizations within the network were identified as core; the remainder were periphery. The strongest networks were sharing information, and the weakest was funding. The connections were centralized to one organization, enabling them to readily influence other organizations and network operations. Remaining organizations indicated limited partnership across the networks. Strengthened collaborations and partnerships are essential to health promotion, as they extend reach and organizational capabilities. This study provides a process for undertaking network analysis, identifying leverage points to facilitate communication and information sharing, and reorienting of collaborations and partnerships to consolidate scarce resources and act strategically within a bounded area. There is a need for stronger relationships between organizations and a reorientation of partnerships to facilitate resource sharing within the local government area, to improve nutrition, physical activity, and obesity prevention practices. SNA can assist in understanding organizational prevention networks within a bounded area to support future planning of practices and policy.

Assembling the Puzzle for Promoting Physical Activity in Brazil: A Social Network Analysis

2010 ◽  
Vol 7 (s2) ◽  
pp. S242-S252 ◽  
Author(s):  
Ross C. Brownson ◽  
Diana C. Parra ◽  
Marsela Dauti ◽  
Jenine K. Harris ◽  
Pedro C. Hallal ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Physical Inactivity ◽  
Online Survey ◽  
Public Health Problem ◽  
Research Education ◽  
Significant Public Health Problem ◽  
Significant Public Health

Background:Physical inactivity is a significant public health problem in Brazil that may be addressed by partnerships and networks. In conjunction with Project GUIA (Guide for Useful Interventions for Physical Activity in Brazil and Latin America), the aim of this study was to conduct a social network analysis of physical activity in Brazil.Methods:An online survey was completed by 28 of 35 organizations contacted from December 2008 through March 2009. Network analytic methods examined measures of collaboration, importance, leadership, and attributes of the respondent and organization.Results:Leadership nominations for organizations studied ranged from 0 to 23. Positive predictors of collaboration included: south region, GUIA membership, years working in physical activity, and research, education, and promotion/practice areas of physical activity. The most frequently reported barrier to collaboration was bureaucracy.Conclusion:Social network analysis identified factors that are likely to improve collaboration among organizations in Brazil.

scholarly journals Supporting Cross-Company Networks in Workplace Health Promotion through Social Network Analysis—Description of the Methodological Approach and First Results from a Model Project on Physical Activity Promotion in Germany

2021 ◽  
Vol 18 (13) ◽  
pp. 6874
Author(s):  
Andrea Schaller ◽  
Gabriele Fohr ◽  
Carina Hoffmann ◽  
Gerrit Stassen ◽  
Bert Droste-Franke
Keyword(s):  
Physical Activity ◽  
Health Promotion ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Workplace Health Promotion ◽  
Methodological Approach ◽  
Workplace Health ◽  
Activity Promotion ◽  
First Results

Cross-company networking and counseling is considered to be a promising approach for workplace health promotion in small and medium-sized enterprises. However, a systematic and empirical approach on how such networks can be developed is lacking. The aims of the present paper are to describe the approach of a social network analysis supporting the development of a cross-company network promoting physical activity and to present first results. In the process of developing the methodological approach, a common understanding of the nodes and edges within the project was elaborated. Based on the BIG-model as the theoretical framework of the project, five measuring points and an application-oriented data collection table were determined. Using Gephi, network size, degree, and distance measures, as well as density and clustering measures, were calculated and visualized in the course of the time. First results showed a continuous expansion and densification of the network. The application experience showed that the application of social network analysis in practical cross-company network development is promising but currently still very resource intensive. In order to address the current major challenges and enable routine application, the development of an application-oriented and feasible tool could make an essential contribution.

scholarly journals A social network analysis of interactions about physical activity and nutrition among APPLE schools staff

2021 ◽  
Vol 14 ◽  
pp. 100763
Author(s):  
Kate E. Storey ◽  
Jodie A. Stearns ◽  
Nicole McLeod ◽  
Genevieve Montemurro
Keyword(s):  
Physical Activity ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis

scholarly journals Stakeholder-Associated Risks and Their Interactions in PPP Projects: Social Network Analysis of a Water Purification and Sewage Treatment Project in China

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Mingzhu Yang ◽  
Haitao Chen ◽  
Yongshun Xu
Keyword(s):  
Risk Factors ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Local Governments ◽  
Risk Sharing ◽  
Sewage Treatment ◽  
Project Managers ◽  
Individual Level ◽  
The Individual

As a result of complex contractual relationships, multiple stakeholders with different interests are involved in public-private partnership (PPP) projects. Compared to traditional models, PPP projects have more uncertainty. This study integrated stakeholders and risk factors in PPP projects from a network perspective to better determine how to control risks. Using social network analysis (SNA), a case study was conducted to identify the critical risk factors, and mitigation actions are proposed. The results indicated that, compared to other stakeholders, local governments play the most important role in PPP projects. Managers should therefore pay more attention to political and legal risk factors and develop reasonable risk-sharing plans. This study expands PPP risk research from the individual level to the network level and provides a visualized, innovative research paradigm for PPP risk analysis. The results can also be used by project managers for decision-making, risk management, and other processes, thus helping to achieve the sustainable management of PPP projects.

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