Do perceived norms of social media users' eating habits and preferences predict our own food consumption and BMI?
Do perceived norms of social media users' eating habits and preferences predict our own food consumption and BMI?
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DOI：
10.1016/j.appet.2020.104611
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发表时间：
2020-06-01
期刊：
影响因子：
5.4
通讯作者：
Thomas, Jason M.
中科院分区：
文献类型：
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作者：
Hawkins, Lily K.;Farrow, Claire;Thomas, Jason M.
在实验室研究中，接触传达他人典型饮食行为的社会规范信息会影响参与者自己的食物消费。鉴于社交媒体的广泛使用，我们可能会隐性地暴露于更广泛的社交圈中的规范，而这些规范会影响我们的饮食行为，并可能影响身体质量指数（BMI）。这项研究考察了关于Facebook用户饮食习惯和偏好的四种感知规范（感知描述性规范、感知禁令规范、感知喜欢规范和频率规范）是否能预测参与者自己的食物消费和体重指数。在一项横断面调查中，男女大学生（n = 369；平均年龄= 22.1岁；平均体重指数= 23.7）被要求报告他们对Facebook用户对水果、蔬菜、高能量零食和含糖饮料（SSBs）的消费和偏好的看法，他们自己对这些食物的消费和偏好，以及他们的体重指数。多元线性回归结果显示，Facebook用户果蔬消费的描述性知觉规范和频率知觉规范对参与者自身果蔬消费具有显著的正向预测作用（p均< 0.01）。相反，关于Facebook用户能量密集零食和SSB消费的感知禁令规范是参与者自己的零食和SSB消费的显著正预测因子（p均< 0.05）。然而，感知规范并不能显著预测BMI （p < 0.05）。这些发现表明，有关实际消费的感知规范（描述性和频率）和有关批准的规范（禁令性）可能会以不同的方式指导低能量密度和高能量密度食品和饮料的消费。需要进一步的工作来确定这些感知到的规范是否也会随着时间的推移影响饮食行为。
In laboratory studies, exposure to social norm messages conveying the typical eating behaviour of others has influenced participants' own consumption of food. Given the widespread use of social media, it is plausible that we are implicitly exposed to norms in our wider social circles, and that these influence our eating behaviour, and potentially, Body Mass Index (BMI). This study examined whether four perceived norms (perceived descriptive, injunctive, liking and frequency norms) about Facebook users' eating habits and preferences predicted participants' own food consumption and BMI. In a cross-sectional survey, men and women university students (n = 369; mean age = 22.1 years; mean BMI = 23.7) were asked to report their perceptions of Facebook users' consumption of, and preferences for, fruit, vegetables, energy-dense snacks and sugar sweetened beverages (SSBs), their own consumption of and preferences for these foods, and their BMI. Multiple linear regression revealed that perceived descriptive norms and perceived frequency norms about Facebook users' fruit and vegetable consumption were significant positive predictors of participants' own fruit and vegetable consumption (both ps < .01). Conversely, perceived injunctive norms about Facebook users' energy-dense snack and SSB consumption were significant positive predictors of participants' own snack and SSB consumption (both ps < .05). However, perceived norms did not significantly predict BMI (all ps > .05). These findings suggest that perceived norms concerning actual consumption (descriptive and frequency) and norms related to approval (injunctive) may guide consumption of low and high energy-dense foods and beverages differently. Further work is required to establish whether these perceived norms also affect dietary behaviour over time.