Moufawad Michelle, Hoque Asef, Kells Meredith, Sonneville Kendrin R, Hahn Samantha L
Central Michigan University College of Medicine, 600 East Preston St, Mount Pleasant, MI, 48859, USA.
University of Rochester School of Nursing, Rochester, NY, 14642, USA.
J Eat Disord. 2024 Jun 18;12(1):84. doi: 10.1186/s40337-024-01043-7.
The current study examined whether weight perception or age moderated associations between time spent on image-based social media and weight bias internalization (WBI).
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.
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.
Our results suggest that image-based social media use is more strongly associated with increases in WBI among younger women.
本研究探讨了体重认知或年龄是否会调节基于图像的社交媒体使用时间与体重偏见内化（WBI）之间的关联。
数据来自“追踪我们的生活研究”的基线访视，这是一项针对大学女性的随机对照试验（n = 200）。参与者完成了问卷调查，评估了在社交媒体上花费的时间（连续变量，包括总体以及Instagram、Facebook和Snapchat等各个平台）、WBI（连续变量）、体重认知（将自己的体重视为“超重”与不认为自己的体重为“超重”）、年龄（连续变量，18 - 49岁）以及混杂因素（种族/民族、父母教育程度、性取向和体重指数）。进行了调整后的零膨胀泊松回归分析，以确定体重认知和年龄是否会调节基于图像的社交媒体使用时间与WBI之间的关联。
正如预期的那样，我们发现基于图像的社交媒体总体使用时间与WBI之间存在正相关（β = 0.826，p < 0.001）。在调节分析中，那些认为自己体重“超重”的女性中，这种关联的强度减弱（β = -0.018，p = 0.006）。随着年龄增长，关联也减弱（β = -0.001，p < 0.001）。在Instagram上花费的时间与WBI之间的关联也随着年龄增长而减弱（β = -0.014，p = 0.018），这是在各个社交媒体平台中发现的唯一显著调节效应。
我们的结果表明，基于图像的社交媒体使用与年轻女性WBI增加之间的关联更强。
