Christian Caroline Brooke, Ngo Betty K, Brosof Leigh C, Levinson Cheri A
Department of Psychological and Brain Sciences, University of Louisville, 317 Life Sciences Building, Louisville, KY, USA.
Eat Weight Disord. 2021 Aug;26(6):2065-2070. doi: 10.1007/s40519-020-01050-y. Epub 2020 Oct 26.
The sociocultural theory of eating disorders (EDs) posits that thin-ideal internalization may interact with social risk factors to influence ED development. Social appearance anxiety (SAA) is a potential social risk factor for EDs that may influence the relationship between thin-ideal internalization and EDs.
The current study (N = 525 adolescent females) examined whether SAA moderated the relationship between thin-ideal internalization and ED symptoms cross-sectionally and prospectively across one month.
The interaction between thin-ideal internalization and SAA on ED symptoms was significant in both models, such that when SAA was higher, there was a significantly stronger relationship between thin-ideal internalization and ED symptoms. We also found that SAA uniquely, prospectively predicted ED symptoms.
These results suggest that adolescents with high SAA and high thin-ideal internalization are more likely to exhibit higher ED symptoms. SAA both prospectively predicts ED symptoms and may amplify the relationship between thin-ideal internalization and EDs. This research highlights SAA as a social risk factor for ED development in adolescents. Interventions focused on SAA may optimize ED prevention in this population.
Level IV, evidence obtained from multiple time series with or without the intervention.
饮食失调的社会文化理论认为,对瘦理想的内化可能与社会风险因素相互作用,从而影响饮食失调的发展。社交外表焦虑(SAA)是饮食失调的一个潜在社会风险因素,可能会影响对瘦理想的内化与饮食失调之间的关系。
本研究(N = 525名青春期女性)横断面和前瞻性地考察了在一个月的时间里,社交外表焦虑是否调节了对瘦理想的内化与饮食失调症状之间的关系。
在两个模型中,对瘦理想的内化与社交外表焦虑对饮食失调症状的交互作用均显著,即当社交外表焦虑较高时,对瘦理想的内化与饮食失调症状之间的关系显著更强。我们还发现,社交外表焦虑独特地、前瞻性地预测了饮食失调症状。
这些结果表明,社交外表焦虑高且对瘦理想内化程度高的青少年更有可能表现出更高的饮食失调症状。社交外表焦虑既能前瞻性地预测饮食失调症状,也可能会放大对瘦理想的内化与饮食失调之间的关系。本研究强调社交外表焦虑是青少年饮食失调发展的一个社会风险因素。针对社交外表焦虑的干预措施可能会优化该人群的饮食失调预防。
IV级,从有或无干预的多个时间序列中获得证据。