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Structural social support predicts functional social support in an online weight loss programme

机译:结构性社会支持在在线减肥计划中预测功能性社会支持

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Background Online weight loss programmes allow members to use social media tools to give and receive social support for weight loss. However, little is known about the relationship between the use of social media tools and the perception of specific types of support. Objective To test the hypothesis that the frequency of using social media tools (structural support) is directly related to perceptions of Encouragement, Information and Shared Experiences support (functional support). Design Online survey. Participants Members of an online weight loss programme. Methods The outcome was the perception of Encouragement (motivation, congratulations), Information (advice, tips) and Shared Experiences (belonging to a group) social support. The predictor was a social media scale based on the frequency of using forums and blogs within the online weight loss programme (alpha=0.91). The relationship between predictor and outcomes was evaluated with structural equation modelling (SEM) and logistic regression, adjusted for sociodemographic characteristics, BMI and duration of website membership. Results The 187 participants were mostly female (95%) and white (91%), with mean (SD) age 37 (12) years and mean (SD) BMI 31 (8). SEM produced a model in which social media use predicted Encouragement support, but not Information or Shared Experiences support. Participants who used the social media tools at least weekly were almost five times as likely to experience Encouragement support compared to those who used the features less frequently [adjusted OR 4.8 (95% CI 1.8-12.8)]. Conclusions Using the social media tools of an online weight loss programme at least once per week is strongly associated with receiving Encouragement for weight loss behaviours.
机译:背景技术在线减肥计划允许会员使用社交媒体工具为减肥提供和接受社会支持。但是,人们对社交媒体工具的使用与特定支持类型之间的关系知之甚少。目的为了检验以下假设,即使用社交媒体工具(结构支持)的频率与鼓励,信息和共享经验支持(功能支持)的看法直接相关。设计在线调查。参与者在线减肥计划的成员。方法结果是对鼓励(动机,祝贺),信息(建议,技巧)和共享经验(属于一个群体)社会支持的感知。预测指标是一种社交媒体量表,基于在线减肥计划中使用论坛和博客的频率(alpha = 0.91)。通过结构方程模型(SEM)和logistic回归对预测变量与结果之间的关系进行了评估,并根据社会人口统计学特征,BMI和网站会员身份持续时间进行了调整。结果187名参与者中,女性(95%)和白人(91%)主要是平均(SD)年龄37(12)岁,平均(SD)BMI 31(8)。 SEM建立了一个模型,其中社交媒体使用预测的鼓励支持,而不使用信息或共享经验支持。与那些不常使用这些功能的参与者相比,至少每周使用一次社交媒体工具的参与者获得鼓励支持的可能性几乎是其五倍[调整后的OR 4.8(95%CI 1.8-12.8)]。结论每周至少使用一次在线减肥计划的社交媒体工具,与获得减肥行为的鼓励紧密相关。

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