Attention Control in Presence of Food Cues in Restrained and Unrestrained Eaters

Talepasand, Siavash; Golzari, Mahdiye

doi:10.5152/npa.2017.19323

Cited by 3 publications

(4 citation statements)

References 28 publications

(35 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, “I do not eat some foods because they make me fat” comprises a regulatory behavioural component with a firm underlying psychological belief. Correspondingly, maintaining a consistently high level of Cognitive Restraint requires immense effortful control, behavioural regulation, and deliberate decision making that align with one’s goals of weight control [ 81 ]. As anxiety and stress have been shown to interfere with these capacities [ 82 ], it is plausible that concurrently reduced levels of both constructs may have optimised the behavioural execution of high Cognitive Restraint, resulting in reduced binge eating tendencies in the current sample.…”

Section: Discussionmentioning

confidence: 99%

Anxiety, stress, and binge eating tendencies in adolescence: a prospective approach

et al. 2021

View full text Add to dashboard Cite

Background Recent years have witnessed an increasing prevalence of binge eating tendencies in adolescence—warranting a clearer understanding of their underlying predisposing and precipitating factors. The current study investigated whether the interaction between high levels of anxiety and stress predicted increased levels of binge eating tendencies in a prospective cohort of adolescents (N = 324). Methods Measurements were taken over three waves (M ages: 13.33, 14.48, 15.65) as part of the CogBIAS Longitudinal Study. Longitudinal associations between levels of anxiety and stress with binge eating tendencies were estimated using a random intercept cross-lagged panel model (RI-CLPM), which calculates within-person fluctuations over time while accounting for individual trait-like stability and between-person variations. Binge eating tendencies were measured by the Cognitive Restraint, Uncontrolled Eating, and Emotional Eating styles from the Three-Factor Eating Questionnaire-R18. Two models were created for each binge eating tendencies variable: (1) a basic model with anxiety and stress as independent variables; (2) an interaction model with an additional anxiety*stress interaction term. Model fit was assessed by SEM fit indices: X2, CFI, NFI, TLI, RMSEA, SRMR. Superior model fit was ascertained by a chi-square difference test (p < .05). Results For Cognitive Restraint, the interaction model demonstrated superior fit to the data (p < .05). The anxiety*stress interaction at Waves 1 and 2 was significantly negatively associated with Cognitive Restraint at Waves 2 (β = −0.18, p = .002) and 3 (β = −0.14, p = .002)—suggesting that anxiety and stress interacted to predict increased binge eating tendencies linked with cognitive restraint over and above their independent effects. In contrast, the interaction term between anxiety*stress did not predict levels of Uncontrolled Eating or Emotional Eating over time. Conclusions The results highlight the importance of increasing awareness of the interaction between concurrently high anxiety and stress as a potential risk factor for binge eating tendencies in young people. Trial registration Not applicable.

show abstract

Section: Discussionmentioning

confidence: 99%

Anxiety, stress, and binge eating tendencies in adolescence: a prospective approach

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The results of the experiment revealed the following: First, the AB disengagement phenomenon exists, as evidenced by the fact that participants had the lowest rate of correctness at the lag2 level, and this correctness level increased as the lag time increased. Second, there was a difference in participants’ recognition of high- and low-calorie foods, with the correct rate for high-calorie foods being significantly greater (88.9%) than that for low-calorie foods (83%), suggesting that high-calorie foods can be processed and recognized more quickly in working memory [ 9 , 12 , 13 ]. Third, there was a difference in the rate of correctness among the three groups of participants.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies on food attention bias in restrictive dieters have explored it in the spatial/temporal dimension using different paradigms and methods [ 9 , 10 , 11 ]. Restrictive dieters’ attentional bias toward food is influenced by the caloric content of the food, and high-calorie foods, in particular, can capture their attention more quickly [ 9 , 12 , 13 ]. This may explain why restrictive dieters sometimes cannot control the desire to eat after a period of strict dieting, thus encouraging binge eating behaviors.…”

Section: Introductionmentioning

confidence: 99%

The Absence of Attentional Bias to Low-Calorie Food Stimuli in Restrictive Dieters: Differences in the Allocation of Attentional Resources to High-Calorie Foods

Jiang,

Zhang,

Yang

et al. 2024

Brain Sciences

View full text Add to dashboard Cite

Restrictive dieters are those who expect to achieve body shape and weight control through dieting. However, they often have difficulty suppressing the desire to consume food when confronted with it. It has been shown that when high- and low-calorie foods are presented together, the attention of restrictive eaters is preferentially directed to high-calorie foods. However, whether attentional bias occurs when low-calorie foods are present alone and whether the allocation of attentional resources is consistent with that for high-calorie foods has yet to be explored. The present study focused on the effects of high-/low-calorie foods on attentional bias in restrictive dieters. Seventy-eight participants were recruited to participate in the experiment via the Dutch Eating Behavior Questionnaire (DEBQ) scale, which is administered in a rapid serial visual presentation (RSVP) task. The results revealed that failed restrictive dieters had the lowest percentage of correct answers at the lag2 level, indicating attentional bias. Failed restrictive dieters allocated more attentional resources to high-calorie foods than to low-calorie foods. Restrictive dieters showed no attentional bias when low-calorie foods were presented alone. The results suggest that low-calorie foods do not elicit an attentional bias in restrictive dieters and that the allocation of attentional resources is not consistent when compared to that for high-calorie foods.

show abstract

“…Individuals with high dietary restraint are highly sensitive to food cues ( Fedoroff et al. , 2003 ; Talepasand and Golzari, 2018 ), but successful restrained eaters may engage top-down control over food cue responsiveness ( Johnson et al. , 2012 ; Alblas et al.…”

Section: Discussionmentioning

confidence: 99%

Correlates of neural adaptation to food cues and taste: the role of obesity risk factors

Sadler

Shearrer

Papantoni

et al. 2021

Social Cognitive and Affective Neuroscience

View full text Add to dashboard Cite

Identifying correlates of brain response to food cues and taste provides critical information on individual differences that may influence variability in eating behavior. However, few studies examine how brain response changes over repeated exposures and the individual factors that are associated with these changes. Using functional MRI, we examined how brain response to a palatable taste and proceeding cues changed over repeated exposures and how individual differences in weight, familial obesity risk, dietary restraint, and reward-responsiveness correlate with these changes. In healthy-weight adolescents (n=154), caudate and posterior cingulate cortex (PCC) response increased with repeated cue presentations, and oral somatosensory cortex and insula response increased with repeated milkshake tastes. The magnitude of increase over exposures in the left PCC to cues was positively associated with BMI-percentile (r=0.18, p=0.026) and negatively associated with dietary restraint scores (r=-0.24, p=0.003). Adolescents with familial obesity risk showed higher cue-evoked caudate response across time, compared to the low risk group (r=0.12, p=0.035). Reward-responsiveness positively correlated with right oral somatosensory cortex/insula response to milkshake over time (r=0.19, p=0.018). Results show that neural responses to food cues and taste change over time, and that individual differences related to weight gain are correlated with these changes.

show abstract

Attention Control in Presence of Food Cues in Restrained and Unrestrained Eaters

Cited by 3 publications

References 28 publications

Anxiety, stress, and binge eating tendencies in adolescence: a prospective approach

Anxiety, stress, and binge eating tendencies in adolescence: a prospective approach

The Absence of Attentional Bias to Low-Calorie Food Stimuli in Restrictive Dieters: Differences in the Allocation of Attentional Resources to High-Calorie Foods

Correlates of neural adaptation to food cues and taste: the role of obesity risk factors

Contact Info

Product

Resources

About