Social Support and Connectedness as Predictors of Weight Control Behaviors in Online Communications


  • Paul Branscum
  • Chen Ling
  • Xiaoqian Wang



The purpose of this study was to evaluate the role of social support and social connectedness for five weight control behaviors among overweight/obese adults (N=118) participating in an online weightloss community. The five weight control behaviors investigated were physical activity, screen time, and the consumption of sugar-free drinks, sugar-sweetened drinks, and fruits and vegetables. Step-wise multiple regression was used to predict each weight control behavior with constructs of social support and social connectedness. Social support was highly predictive of all behaviors under investigation. Furthermore, interactions within the community (active or passive users) were significant for two behaviors (screen time and fruit and vegetable consumption), and number of minutes engaged in the community per week was significant for fruit and vegetable consumption only. These results suggest that promoting social support is likely the most important feature for online weight loss communities.

Author Biographies

Paul Branscum

Paul Branscum PhD, RD, Assistant Professor, The University of Oklahoma, Department of Health and, Exercise Science, 1401 Asp Avenue, Norman, Oklahoma 73019, Phone: (405) 325-9028, Fax: (405) 325-0594 

Chen Ling

Chen Ling PhD, Associate Professor, University of Akron, Mechanical Engineering Department

Xiaoqian Wang

Xiaoqian Wang, MS, The University of Oklahoma, School of Industrial & Systems Engineering



How to Cite

Branscum, P., Ling, C., & Wang, X. (2020). Social Support and Connectedness as Predictors of Weight Control Behaviors in Online Communications. American Journal of Health Studies, 29(1).

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