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Megan S. Patterson and Patricia Goodson


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.


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.


QAP regression analysis revealed a statistically significant model (R 2 = .375, P < .0001) predicting compulsive exercise behavior. Physical activity, body dissatisfaction, and network variables were statistically significant predictor variables in the QAP regression model.


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.

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Florian Herbolsheimer, Stephanie Mosler, Richard Peter and the ActiFE Ulm Study Group

physical activity can be regarded as key mechanisms in the downstream pathways from social structure to health. The model points out that social network structures are conditioned by social and cultural context. Network structures in turn provide and determine social support, social provision, and material

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how to manage interdependence and potential non-linearity across multiple health behaviours in behavioural change interventions. External funding details: Funding: Cancer Research UK International Innovation The influence of social network structure on adolescents’ level of physical activity Tracie