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Assessing the Impact of De Novo Social Ties within Health Intervention Settings: New Questions for Health Behavior Intervention Research

机译:评估从头建立社会关系在健康干预环境中的影响:健康行为干预研究的新问题

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摘要

Recent developments in the study of health and social networks have focused on linkages between health outcomes and naturally occurring social relations, such as friendship or kinship. Based on findings in this area, a new generation of health behavior intervention programs have been implemented that rely on the formation of new social relations among program participants. However, little is known about the qualities of these de novo social relations. We examined the social networks of 59 participants within a randomized controlled trial of an intervention designed to prevent excessive gestational weight gain. We employed exponential random graph modeling techniques to analyze supportive relationships formed between participants in the intervention arm, to detect unique effects of program participation on the likelihood of forming ties. Program participation had a positive effect on the likelihood of forming supportive social relations, however, in this particular timeframe we did not detect any additional effect of such relations on the health behaviors or outcomes of interest. Our findings raise two critical questions: do short‐term group‐level programs reliably lead to the formation of new social relations among participants; and do these relations have a unique effect on health outcomes relative to standard methods of health behavior intervention?
机译:健康和社会网络研究的最新进展集中在健康结果与自然存在的社会关系(如友谊或亲戚关系)之间的联系上。基于这一领域的发现,已经实施了新一代的健康行为干预计划,该计划依赖于计划参与者之间新的社会关系的形成。但是,人们对这些新生社会关系的性质知之甚少。我们在一项旨在防止妊娠体重过度增加的干预措施的随机对照试验中,检查了59位参与者的社交网络。我们采用指数随机图建模技术来分析干预部门参与者之间形成的支持关系,以检测计划参与对形成联系的可能性的独特影响。计划的参与对形成支持性社会关系的可能性具有积极影响,但是,在此特定时间范围内,我们没有发现这种关系对健康行为或所关注结果的任何其他影响。我们的发现提出了两个关键问题:短期团体课程是否确实导致参与者之间建立了新的社会关系;与健康行为干预的标准方法相比,这些关系是否对健康结果产生独特的影响?

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