背景:当前的研究检查了在基于图像的社交媒体上花费的时间与体重偏差内在化(WBI)之间的体重感知或年龄调节的关联。
方法:数据来自追踪我们的生活研究的基线访问,一项针对女大学生的随机对照试验(n=200)。参与者填写了评估在社交媒体上花费时间的问卷(连续,整体和个别平台Instagram,Facebook,和Snapchat),WBI(连续),体重感知(感知他们的体重“超重”与不要认为自己的体重“超重”),年龄(连续,18-49岁),和混杂因素(种族/族裔,家长教育,性取向,和BMI)。进行了调整后的零膨胀泊松回归,以确定体重感知和年龄是否调节了在基于图像的社交媒体和WBI上花费的时间之间的关联。
结果:如预期,我们发现在基于图像的社交媒体上花费的总时间与WBI之间存在正相关(β=0.826,p<0.001)。在适度分析中,在认为体重为"超重"的女性中,这种关联的强度减弱(β=-0.018,p=0.006).关联也随着年龄的增长而减弱(β=-0.001,p<0.001)。在Instagram和WBI上花费的时间之间的关联也随着年龄的增长而减弱(β=-0.014,p=0.018),这是单个社交媒体平台发现的唯一重要的节制。
结论:我们的研究结果表明,在年轻女性中,基于图像的社交媒体使用与WBI增加的相关性更强。
有研究报告称,在基于图像的社交媒体上花费更多时间的大学女性会对自己施加更多基于负面的体重刻板印象,导致基于体重的自我退化。这被称为权重偏差内化。然而,可能会有一些事情使社交媒体对大学女性或多或少有害。这项研究的目的是了解女性的年龄或对体重的看法是否改变了在基于图像的社交媒体上花费的时间与体重偏见内在化之间的关系。数据来自200名大学女性,她们完成了问卷调查,以确定在社交媒体上花费的时间,他们的体重偏差内化水平,他们如何看待自己的体重,年龄,和其他人口统计学。结果显示,认为自己的体重“超重”的女性在所有基于图像的社交媒体上花费的时间与体重偏见内化之间的关联较弱,老年妇女也是如此。我们的结果表明,年轻女性可能更容易受到社交媒体的影响,这些影响会增加她们的体重偏差。这些结果可用于确定那些可能从旨在减少体重偏倚内化的干预措施中受益的人,并防止由于具有更多的体重偏倚内化而导致的以后的健康后果。
BACKGROUND: The current study examined whether weight perception or age moderated associations between time spent on image-based social media and weight bias internalization (WBI).
METHODS: Data come from the baseline visit of the Tracking Our Lives Study, a randomized control trial of college women (n = 200). Participants completed questionnaires assessing time spent on social media (continuous, overall and individual platforms Instagram, Facebook, and Snapchat), WBI (continuous), weight perception (perceive their weight as \"overweight\" vs. do not perceive their weight as \"overweight\"), age (continuous, 18-49 years), and confounders (race/ethnicity, parent education, sexual orientation, and BMI). Adjusted zero-inflated Poisson regressions were performed to determine if weight perception and age moderated associations between time spent on image-based social media and WBI.
RESULTS: As expected, we found a positive association between overall time spent on image-based social media and WBI (β = 0.826, p < 0.001). In moderation analyses, the strength of the association was weakened among women who perceived their weight as \"overweight\" (β=-0.018, p = 0.006). Associations also weakened with age (β=-0.001, p < 0.001). The association between time spent on Instagram and WBI was also weakened with age (β=-0.014, p = 0.018), which was the only significant moderation found for individual social media platforms.
CONCLUSIONS: Our results suggest that image-based social media use is more strongly associated with increases in WBI among younger women.
There is research reporting that college women who spend an increased amount of time on image-based social media apply more negative-based weight stereotypes to oneself, leading to weight-based self-degradation. This is known as weight bias internalization. However, there may be things that make social media more or less harmful for college women. The goal of this study was to see if a woman’s age or their perception of their weight changed the relationship between the amount of time spent on image-based social media and weight bias internalization. Data come from 200 college women who completed questionnaires to determine time spent on social media, their level of weight bias internalization, how they perceived their weight, age, and other demographics. Results showed that women who perceive their weight as “overweight” had a weaker association between time spent on all image-based social media and weight bias internalization, as did older women. Our results suggest that younger women may be more susceptible to influences on social media that increase their weight bias internalization. These results can be used to identify those who may benefit from interventions aimed at reducing weight bias internalization and prevent later health consequences as a result of having more weight bias internalization.