Social media and disordered eating among middle-aged women: Not just an adolescent concern

Eating Behaviors(2023)

引用 0|浏览8
暂无评分
摘要
Evidence suggests social media use is strongly linked to disordered eating (e.g., binge eating and dietary restraint) among adolescent and young adult women, in part because it promotes engagement in social comparison (the tendency to evaluate one's own standing or ability by comparing it to another's). Yet no study has examined the impact of social media use and comparison on disordered eating among middle-aged women. Participants (N = 347), ages 40–63, completed an online survey about their social media use, social comparison, and disordered eating (bulimic symptoms, dietary restraint, and broad eating pathology). Results indicated that 89 % (n = 310) of middle-aged women used social media in the past year. Most participants (n = 260; 75 %) used Facebook, and at least a quarter used Instagram or Pinterest. Approximately 65 % (n = 225) used social media at least daily. Controlling for age and body mass index, social media-specific social comparison was positively associated with bulimic symptoms, dietary restriction, and broad eating pathology (all ps < 0.001). Multiple regression models evaluating frequency of social media use and social media-specific social comparison together revealed that social comparison explained a significant amount of unique variance in bulimic symptoms, dietary restriction, and broad eating pathology (all ps < 0.001) above and beyond frequency of social media use. Instagram explained a significant proportion of variance of dietary restraint compared to other social media platforms (p = .001). Findings suggest a large percentage of middle-aged women frequently engage with some type of social media. Further, social media-specific social comparison, rather than frequency of social media use, may be driving disordered eating in this age group of women.
更多
查看译文
关键词
Middle-aged women, Social media, Disordered eating, Instagram, Social comparison
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要