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The effect of attention on body size adaptation and body dissatisfaction.
House, T; Stephen, I D; Penton-Voak, I S; Brooks, K R.
Afiliação
  • House T; School of Psychological Science, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia.
  • Stephen ID; Department of Psychology, University of Bristol, Bristol, UK.
  • Penton-Voak IS; Department of Psychology, Nottingham Trent University, Nottingham, UK.
  • Brooks KR; Department of Psychology, University of Bristol, Bristol, UK.
R Soc Open Sci ; 9(2): 211718, 2022 Feb.
Article em En | MEDLINE | ID: mdl-35223063
Attentional bias to low-fat bodies is thought to be associated with body dissatisfaction-a symptom and risk factor of eating disorders. However, the causal nature of this relationship is unclear. In three preregistered experiments, we trained 370 women to attend towards either high- or low-fat body stimuli using an attention training dot probe task. For each experiment, we analysed the effect of the attention training on (i) attention to subsequently presented high- versus low-fat body stimuli, (ii) visual adaptation to body size, and (iii) body dissatisfaction. The attention training had no effect on attention towards high- or low-fat bodies in an online setting (Experiment 1), but did increase attention to high-fat bodies in a laboratory setting (Experiment 2). Neither perceptions of a 'normal' body size nor levels of body dissatisfaction changed as a result of the attention training in either setting. The results in the online setting did not change when we reduced the stimulus onset-asynchrony of the dot probe task from 500 to 100 ms (Experiment 3). Our results provide no evidence that the dot probe training task used here has robust effects on attention to body size, body image disturbance or body dissatisfaction.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article