scholarly journals Neural indicators of food cue reactivity, regulation, and valuation and their associations with body composition and daily eating behavior

2020 ◽  
Author(s):  
Danielle Cosme ◽  
Richard B. Lopez
Keyword(s):  
Body Composition ◽  
Eating Behavior ◽  
Eating Behaviors ◽  
Cue Reactivity ◽  
A Priori ◽  
Reward Processing ◽  
Food Cues ◽  
Cue Exposure ◽  
Food Cravings ◽  
Daily Food

Exposure to food cues activates the brain’s reward system and undermines efforts to regulate impulses to eat. During explicit regulation, lateral prefrontal cortex activates and modulates activity in reward regions and decreases food cravings. However, it is unclear the extent to which between-person differences in recruitment of regions associated with reward processing, subjective valuation, and regulation during food cue exposure—absent instructions to regulate—predict body composition and daily eating behaviors. In this preregistered study, we pooled data from five fMRI samples (N = 262) to examine whether regions associated with reward, valuation, and regulation, as well as whole-brain pattern expression indexing these processes, were recruited during food cue exposure and associated with body composition and real-world eating behavior. Regression models for a single a priori analytic path indicated that univariate and multivariate measures of reward and valuation were associated with individual differences in BMI and enactment of daily food cravings. Specification curve analyses further revealed reliable associations between univariate and multivariate neural indicators of reactivity, regulation, and valuation, and all outcomes. These findings highlight the utility of these methods to elucidate brain-behavior associations and suggest that multiple processes are implicated in proximal and distal markers of eating behavior.

scholarly journals Eating behavior in response to food-cue exposure: Examining the cue-reactivity and counteractive-control models.

2009 ◽  
Vol 23 (1) ◽  
pp. 131-139 ◽  
Author(s):  
Jennifer S. Coelho ◽  
Anita Jansen ◽  
Anne Roefs ◽  
Chantal Nederkoorn
Keyword(s):  
Eating Behavior ◽  
Cue Reactivity ◽  
Cue Exposure ◽  
Control Models

Abstract P240: Eating Behavior and Body Composition in Chilean Young Adults: Results From the Santiago Longitudinal Study

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Lorena S Pacheco ◽  
Estela Blanco ◽  
Raquel Burrows ◽  
Paulina Correa-Burrows ◽  
Jose L Santos ◽  
...  
Keyword(s):  
Young Adults ◽  
Body Composition ◽  
Longitudinal Study ◽  
Eating Behavior ◽  
Body Fat ◽  
Regression Models ◽  
Central Obesity ◽  
Eating Behaviors ◽  
Linear Regression Models ◽  
Cross Sectional

Introduction: Causes of obesity, a leading risk factor for chronic disease morbidity/mortality, are multi-faceted and encompass behavioral and psychological factors. Understanding eating behavior can help target behavioral obesity interventions. The aim of this cross-sectional study was to examine cognitive restraint (CR), uncontrolled eating (UE) and emotional eating (EE) behaviors and body composition in a sample of Chilean young adults. Methods: Using data from 429 participants of the Santiago Longitudinal Study (mean age 22.5±0.4 years), evaluated from 2016-2017, linear and logistic regression models assessed the independent associations between three eating behavior dimensions, using the Three Factor Eating Questionnaire (1-4 range per dimension), and BMI, % body fat (measured by dual-energy x-ray absorptiometry), and central obesity, accounting for demographic covariates, stratified by sex. Results: The sample was 51% female and had a mean BMI of 26.9±6.1. Mean % body fat was 30.5±7.6 in males and 41.8±6.9 in females. CR and EE eating behaviors were associated with body composition measures as shown in the Table 1. CR was related to a 2.4 (95% CI 1.2, 4.8) and 2.5 (95% CI 1.4, 4.5), respectively, greater odds of being an obese male (>25% body fat) and obese female (>37% body fat). The EE dimension was also significantly associated with percent body fat in both sexes. The greatest effect size in the linear regression models was observed for central obesity. For every point increase in CR, waist circumference increased by 5.1 cm (95% CI 2.1-8.1) and 4.1 cm (95% CI 1.5-6.7) in males and females, respectively. EE was positively associated with central obesity in females. Conclusions: In this sample of Chilean young adults, CR and EE eating behavior dimensions were associated with obesity, central obesity and% body fat. The UE dimension was not associated with body composition. Understanding the dynamics of and interplay of eating behaviors and body composition can provide evidence for future effective interventions.

Cue Exposure for Binge Eating

2019 ◽  
pp. 121-130
Author(s):  
Carolyn Black Becker ◽  
Nicholas R. Farrell ◽  
Glenn Waller
Keyword(s):  
Binge Eating ◽  
Cue Reactivity ◽  
Cue Exposure ◽  
Food Cravings ◽  
Subsequent Response ◽  
Do So

Many patients who have experienced difficulties with binge eating continue to do so even after nutritional stabilization. This can happen because they experience learned cues that trigger strong food cravings. Cue exposure can be useful to address such binge eating. This technique involves confronting the cues that typically elicit heightened food cue reactivity (i.e., cravings), while preventing the subsequent response of bingeing. In this process, patients learn that their binge cues are no longer predictive of an actual episode of binge eating. That learning has the effect of substantially weakening cravings that occur in association with exposure to binge eating cues.

scholarly journals Changes in Food Cravings and Eating Behavior after a Dietary Carbohydrate Restriction Intervention Trial

Nutrients ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 52 ◽  
Author(s):  
Katherene O.-B. Anguah ◽  
Majid M. Syed-Abdul ◽  
Qiong Hu ◽  
Miriam Jacome-Sosa ◽  
Colette Heimowitz ◽  
...  
Keyword(s):  
Eating Behavior ◽  
Eating Behaviors ◽  
Dietary Restraint ◽  
Time Frame ◽  
Restricted Diet ◽  
High Fat ◽  
Food Cravings ◽  
Before And After ◽  
Sweet Cravings ◽  
Fat Diets

Compared to low-fat diets, low-carbohydrate (CHO) diets cause weight loss (WL) over a faster time frame; however, it is unknown how changes in food cravings and eating behavior contribute to this more rapid WL in the early phases of dieting. We hypothesized that reductions in food cravings and improved eating behaviors would be evident even after a relatively short (4-week) duration of CHO-restriction, and that these changes would be associated with WL. Adult participants (n = 19, 53% males, mean ± SD: BMI = 34.1 ± 0.8 kg/m2; age 40.6 ± 1.9 years) consumed a CHO-restricted diet (14% CHO, 58% fat, 28% protein) for 4 weeks. Before and after the intervention, specific and total cravings were measured with the Food Craving Inventory (FCI) and eating behaviors assessed with the Three-Factor Eating questionnaire. Food cravings were significantly reduced at week 4, while women had significantly greater reductions in sweet cravings than men. Dietary restraint was significantly increased by 102%, while disinhibiton and hunger scores were reduced (17% and 22%, respectively, p < 0.05). Changes in cravings were unrelated to changes in body weight except for the change in high-fat cravings where those who lost the most weight experienced the least reductions in fat cravings (r = −0.458, p = 0.049). Changes in dietary restraint were inversely related to several FCI subscales. A short-term, low-CHO diet was effective in reducing food cravings. These data suggest that in subjects that have successfully lost weight on a low-CHO diet, those who craved high-fat foods at the onset were able to satisfy their cravings—potentially due to the high-fat nature of this restricted diet.

scholarly journals Children’s Eating Behavior Questionnaire Correlated with Body Compositions of Thai Children and Adolescents with Obesity: A Pilot Study

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Ekkarit Panichsillaphakit ◽  
Yuda Chongpison ◽  
Puthita Saengpanit ◽  
Tanisa Kwanbunbumpen ◽  
Jaraspong Uaariyapanichkul ◽  
...  
Keyword(s):  
Body Composition ◽  
Children And Adolescents ◽  
Eating Behavior ◽  
Eating Behaviors ◽  
Correlation Coefficients ◽  
High Energy ◽  
Fat Free Mass ◽  
Z Score ◽  
Cross Sectional ◽  
Body Compositions

Introduction. Obesity is a major threat to public health. Eating behavior and dietary intake of especially high energy-dense food with low nutrients contribute to the current epidemic of childhood obesity. However, the relationship between eating behavior and body composition has yet to be examined in Thai children and adolescents with obesity. We assessed the association between children’s eating behaviors and their body composition in prerandomized patients who participated in the randomized trial titled “Impact of Dietary Fiber as Prebiotics on Intestinal Microbiota in Obese Thai Children”. Methods. During the prerandomization process, a cross-sectional study was conducted. We recruited children and adolescents aged 7 to 15 years from Bangkok, Thailand. Eating behaviors were assessed by the Children’s Eating Behavior Questionnaire (CEBQ), which is a parent or self-reported research instrument conducted by face-to-face interviews. Body mass index (BMI), BMI-for-age Z-score, waist and hip circumferences, and body compositions were assessed. Pearson’s correlation coefficients were used to assess associations between the study variables. Results. Ninety-seven Thai children and adolescents with obesity participated in the study; 59 (61%) were male. Median [IQR] of age and BMI z-score were 10.5 [9.0, 12.2] years and 3.0 [2.6, 3.7], respectively. Subscale for Enjoyment of Food had the highest score. There were no associations between eating behaviors and BMI z-score. However, Emotional Overeating was associated with fat-free mass index (correlation coefficient = 0.24, p = 0.02 ) and girls with obesity had lower scores in “Slowness in Eating” compared to boys [mean 2.1 versus 1.8, 95% CI: (−0.06, −0.01), p = 0.04 ]. Conclusion. Among Thai children and adolescents with obesity, the difference in multidimensional eating behavior might be affected by fat-free mass. Additional study with a larger sample size needed to explore underlying mechanisms and findings can be used to develop future behavior modification program.

Trajectories of eating behavior during COVID-19 lockdown: Longitudinal analyses of 22,374 adults in the UK

2020 ◽  
Author(s):  
Moritz Herle ◽  
Andrea Smith ◽  
Feifei Bu ◽  
Andrew Steptoe ◽  
Daisy Fancourt
Keyword(s):  
Eating Behavior ◽  
Eating Behaviors ◽  
Latent Class ◽  
Stressful Life Events ◽  
Panel Study ◽  
Social Study ◽  
Multinomial Regression ◽  
Design Data ◽  
Trajectories Of Change ◽  
The Uk

Background: The COVID-19 pandemic has led to the implementation of stay-at-home and lockdown measures. It is currently unknown if the experience of lockdown leads to long term changes in individual’s eating behaviors.Objective: The objectives of this study were: i) to derive longitudinal trajectories of change in eating during UK lockdown, and ii) to identify risk factors associated with eating behavior trajectories. Design: Data from 22,374 UK adults from the UCL COVID-19 Social study (a panel study collecting weekly data during the pandemic) were analyzed from 28th March to 29th May 2020. Latent Class Growth Analysis was used to derive trajectories of change in eating. These were then associated with prior socio-economic, heath-related and psychological factors using multinomial regression models. Results: Analyses suggested five trajectories, with the majority (64%) showing no change in eating. In contrast, one trajectory was marked by persistently eating more, whereas another by persistently eating less. Overall, participants with greater depressive symptoms were more likely to report any change in eating. Loneliness was linked to persistently eating more (OR= 1.07), whereas being single or divorced, as well as stressful life events, were associated with consistently eating less (OR= 1.69). Overall, higher education status was linked to lower odds of changing eating behavior (OR= 0.54-0.77). Secondary exploratory analyses suggest that participants self-reported to have overweight were most common amongst the consistently overeaters, whereas underweight participants persistently ate less. Conclusion: In this study, we found that one third of the sample report changes in quantities eaten throughout the first UK lockdown period. Findings highlight the importance of adjusting public health programs to support eating behaviors in future lockdowns both in this and potential future pandemics. This is particularly important as part of on-going preventive efforts to prevent nutrition-related chronic diseases.

Eating Behavior of Brazilian College Students: Influences of Lifestyle, Negative Affectivity, and Personal Characteristics

2020 ◽  
pp. 003151252098308
Author(s):  
Bianca G. Martins ◽  
Wanderson R. da Silva ◽  
João Marôco ◽  
Juliana A. D. B. Campos
Keyword(s):  
College Students ◽  
Eating Behavior ◽  
Emotional Eating ◽  
Eating Behaviors ◽  
Structural Model ◽  
Negative Affectivity ◽  
Personal Characteristics ◽  
Second Order ◽  
The Impact ◽  
The Relationship

In this study we proposed to estimate the impact of lifestyle, negative affectivity, and college students’ personal characteristics on eating behavior. We aimed to verify that negative affectivity moderates the relationship between lifestyle and eating behavior. We assessed eating behaviors of cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE)) with the Three-Factor Eating Questionnaire-18. We assessed lifestyle with the Individual Lifestyle Profile, and we assessed negative affectivity with the Depression, Anxiety and Stress Scale-21. We constructed and tested (at p < .05) a hypothetical causal structural model that considered global (second-order) and specific (first-order) lifestyle components, negative affectivity and sample characteristics for each eating behavior dimension. Participants were 1,109 college students ( M age = 20.9, SD = 2.7 years; 65.7% females). We found significant impacts of lifestyle second-order components on negative affectivity (β = −0.57–0.19; p < 0.001–0.01) in all models. Physical and psychological lifestyle components impacted directly only on CR (β=−0.32–0.81; p < 0.001). Negative affectivity impacted UE and EE (β = 0.23–0.30; p < 0.001). For global models, we found no mediation pathways between lifestyle and CR or UE. For specific models, negative affectivity was a mediator between stress management and UE (β=−0.07; p < 0.001). Negative affectivity also mediated the relationship between thoughts of dropping an undergraduate course and UE and EE (β = 0.06–0.08; p < 0.001). Participant sex and weight impacted all eating behavior dimensions (β = 0.08–0.34; p < 0.001–0.01). Age was significant for UE and EE (β=−0,14– −0.09; p < 0.001–0.01). Economic stratum influenced only CR (β = 0.08; p = 0.01). In sum, participants’ lifestyle, negative emotions and personal characteristics were all relevant for eating behavior assessment.

scholarly journals Eating behavior affects cardio-metabolic risk in high school teenagers in a developing country

2020 ◽  
Vol 29 (1) ◽  
pp. 71-81
Author(s):  
Rita Suhadi ◽  
Phebe Hendra ◽  
Dita Maria Virginia ◽  
Christianus Heru Setiawan
Keyword(s):  
Risk Factors ◽  
Heart Rate ◽  
Waist Circumference ◽  
Eating Behavior ◽  
Eating Behaviors ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Cross Sectional ◽  
Male Subjects ◽  
Female Subjects

BACKGROUND Modernization negatively changes lifestyle, characterized by excessive eating and reduced energy consumption, and concurrently increases the cardiometabolic risk. This study was aimed to evaluate the association between eating behavior and cardio-metabolic risk factors including body mass index (BMI) in percentile, blood pressure (BP) in percentile, waist circumference, and heart rate in total subjects and gender sub-groups. METHODS This analytical cross-sectional study was done from July to November 2018. High schools in four provinces of Indonesia and students were selected using purposive sampling. Subjects’ profiles were collected from interview and cardio-metabolic parameters were measured at the study sites. Data were analyzed with chi-square and independent t-test. RESULTS Subjects who were overweight/obese and had high BP accounted for 27.1% and 9.3–12.0% of the total subjects (n = 768), respectively. Subjects who having breakfast tended to have lower BMI (p = 0.006), and the lower consumption of western meals had lower heart rate (p = 0.02). Male subjects had more meal frequency and had less quantity of snacks than female subjects (p<0.001). Male subjects with routine intake of vegetables had low heart rate (p = 0.03). Female subjects with routine breakfast had better BMI (p<0.001), and lower diastolic BP (p = 0.004) and waist circumference (p = 0.02), whereas those who consumed Western meals had higher heart rate (p = 0.046) and waist circumference (p = 0.001). CONCLUSIONS Eating behaviors are likely to affect cardio-metabolic risk factors, and the effects vary within gender groups.

scholarly journals Effect of Family-Based REDUCE Intervention Program on Children Eating Behavior and Dietary Intake: Randomized Controlled Field Trial

Nutrients ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 3065
Author(s):  
Norliza Ahmad ◽  
Zalilah Mohd Shariff ◽  
Firdaus Mukhtar ◽  
Munn-Sann Lye
Keyword(s):  
Social Media ◽  
Dietary Intake ◽  
Eating Behavior ◽  
Intervention Program ◽  
Eating Behaviors ◽  
Randomized Controlled ◽  
Child Eating ◽  
Family Based ◽  
Child Eating Behaviors ◽  
Randomized Controlled Field Trial

The objective of this study was to evaluate the effect of a family-based intervention program (REDUCE) on children’s eating behaviors and dietary intake. A two-arm randomized controlled field trial was conducted among parents and children of 7 to 10 years old who were either overweight or obese. The intervention was conducted via face-to-face sessions and social media. The child eating behaviors were assessed using the child eating behaviors questionnaire (CEBQ), while their dietary consumption of vegetables and unhealthy snacks was assessed using a parental report of three days unweighted food. The generalized linear mixed modelling adjusted for covariates was used to estimate the intervention effects with alpha of 0.05. A total of 122 parents (91% response rate) completed this study. At the six-month post-training, there were statistically significant mean differences in the enjoyment of food (F(6481) = 4.653, p < 0.001), fruit and vegetable intake (F(6480) = 4.165, p < 0.001) and unhealthy snack intake (F(6480) = 5.062, p < 0.001) between the intervention and wait-list groups; however, it was not clinically meaningful. This study added to the body of knowledge of family-based intervention that utilized social media and assessed the effect in children’s eating behavior using the CEBQ and children’s dietary intake.

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