Exploring social networks within a web and app based intervention for weight loss

Introduction: Research shows that setting goals, planning, selfmonitoring and social support are important for behavior change. We are conducting a RCT of a web/app based intervention for weight loss incorporating these elements. The social support element is key and individuals will identify ‘helpers’, from within their social network to help them achieve behavior change goals. We will randomize 120 obese adults to the intervention or control group. One aim of this study is to examine the association between characteristics of the participant’s social network (types and quality of relationships etc.) and success in their achievement of weight related goals. Methods: The social network analysis is mixed methods. Participants will identify the people in their social network with whom they have most contact and they will be asked to complete an egocentric network questionnaire. These data will be analyzed using regression models. We will also interview participants about their social networks and at least one of their nominated helpers. Data from the interviews will be analyzed thematically and combined with the quantitative data will allow exploration of the participant’s ego network and the impact of these on behavior change success or failure. Results: This paper will present the protocol for this novel study. Conclusions: This analysis will provide insights which will be useful for the design of the definitive trial, as well as shedding light on the impact of the participant’s ego network structure and content on the intervention effects and conversely how the intervention affects individual ego network