2020
DOI: 10.1016/j.appet.2020.104651
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Response inhibition according to the stimulus and food type in exogenous obesity

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Cited by 16 publications
(11 citation statements)
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References 25 publications
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“…Mean participants' Reaction Time (RT) to the task was 438 ms (SD = 54.3), which is similar to previous average reaction times to food stimuli in GNAT tasks (e.g., Mas et al, 2020;Gerdan & Kurt, 2020). The results of our LMM models with RTs in response to target food stimuli as a dependent variable are now described.…”
Section: Reaction Times (Rts)supporting
confidence: 77%
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“…Mean participants' Reaction Time (RT) to the task was 438 ms (SD = 54.3), which is similar to previous average reaction times to food stimuli in GNAT tasks (e.g., Mas et al, 2020;Gerdan & Kurt, 2020). The results of our LMM models with RTs in response to target food stimuli as a dependent variable are now described.…”
Section: Reaction Times (Rts)supporting
confidence: 77%
“…GNAT studies reported shorter RTs to food images (e.g., Gerdan & Kurt, 2020;Mas et al, 2020; but see Osimo et al, 2019 for an opposite finding). However, we believe that our findings speak against a mere easiness account, because individuals with excess weight and obesity were actually slower to respond to cooked food when it was associated with toxicity (Condition P2, Block -).…”
Section: Discussionmentioning
confidence: 97%
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“…Interestingly, Cunningham and Egeth (2018) evidenced that consuming a small amount of high-caloric food just prior to the experiment reduced the attentional bias found for high-calorie food to the level of low-calorie food items, demonstrating the high malleability of goal-states regarding the motivational drive to eat. With respect to the inhibitory function, obese individuals have shown deficits in the inhibitory function when high-calorie food items are used in comparison to low-calorie items (Gerdan & Kurt, 2020). However, in another study conducted on average weight women who binge eat, the authors did not find a deficit of the inhibitory function specific to high-calorie food cues, although those participants were highly responsive in a post-task food consumption from snacking high-calorie items (Lyu, Zheng, Chen, & Jackson, 2017).…”
Section: Introductionmentioning
confidence: 90%
“…The primary one is its ability to assess associations between a single concept (e.g., food) and attributes (e.g., safety and toxicity) without having to measure the relative associations between two concepts (e.g., food and non-food) and attributes. The GNAT has been successfully used in several experiments (e.g., Ashford et al, 2018;Buhlmann et al, 2011), notably with food stimuli (Mas et al, 2020;Gerdan & Kurt, 2020;Spence & Townsend, 2007) and shows good psychometric qualities, such as internal consistency and reliability (Bar-Anan & Nosek, 2014, Williams & Kaufmann, 2012. Individual characteristics such as hunger level, food neophobia, dietary habits and BMI were measured because previous work has shown its influence on food evaluation (Coricelli et al, 2019a;Foinant et al, 2021a;Houben et al, 2010;Mas et al, 2020).…”
Section: The Present Experimentsmentioning
confidence: 99%