社会支持和连通性作为网络交流中体重控制行为的预测因子

Paul Branscum, Chen Ling, Xiaoqian Wang
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引用次数: 0

摘要

本研究的目的是评估在参与在线减肥社区的超重/肥胖成年人(N=118)中,社会支持和社会联系对五种体重控制行为的作用。调查的五种体重控制行为是体育活动、屏幕时间、无糖饮料、含糖饮料和水果蔬菜的消费。逐步多元回归用于预测每种体重控制行为,包括社会支持和社会联系。社会支持对所调查的所有行为都具有高度预测性。此外,社区内的互动(主动或被动用户)对两种行为(屏幕时间和水果和蔬菜消费)具有显著性,每周参与社区的分钟数仅对水果和蔬菜的消费具有显著性。这些结果表明,促进社会支持可能是在线减肥社区最重要的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social Support and Connectedness as Predictors of Weight Control Behaviors in Online Communications
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.
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