The effect of sociodemographic characteristics of university students on emotional eating behavior

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.

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The Gut–Brain Axis and Its Role in Controlling Eating Behavior in Intestinal Inflammation

Nutrients ◽

10.3390/nu13030981 ◽

2021 ◽

Vol 13 (3) ◽

pp. 981

Author(s):

Gordon William Moran ◽

Gita Thapaliya

Keyword(s):

Food Intake ◽

Eating Behavior ◽

Emotional Eating ◽

Intestinal Inflammation ◽

Cognitive Factors ◽

Anxiety And Depression ◽

Gut Peptides ◽

Future Health ◽

Inflammatory Bowel ◽

Inflammatory Burden

Malnutrition represents a major problem in the clinical management of the inflammatory bowel disease (IBD). Presently, our understanding of the cross-link between eating behavior and intestinal inflammation is still in its infancy. Crohn’s disease patients with active disease exhibit strong hedonic desires for food and emotional eating patterns possibly to ameliorate feelings of low mood, anxiety, and depression. Impulsivity traits seen in IBD patients may predispose them to palatable food intake as an immediate reward rather than concerns for future health. The upregulation of enteroendocrine cells (EEC) peptide response to food intake has been described in ileal inflammation, which may lead to alterations in gut–brain signaling with implications for appetite and eating behavior. In summary, a complex interplay of gut peptides, psychological, cognitive factors, disease-related symptoms, and inflammatory burden may ultimately govern eating behavior in intestinal inflammation.

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Examination of the Eating Behavior of the Hungarian Population Based on the TFEQ-R21 Model

Nutrients ◽

10.3390/nu12113514 ◽

2020 ◽

Vol 12 (11) ◽

pp. 3514

Author(s):

Zoltán Szakály ◽

Bence Kovács ◽

Márk Szakály ◽

Dorka T. Nagy-Pető ◽

Tímea Gál ◽

...

Keyword(s):

Eating Behavior ◽

Emotional Eating ◽

Population Based ◽

Eating Attitudes ◽

Multivariate Statistical ◽

Confirmatory Factor Analyses ◽

Reduction Techniques ◽

Three Factor Eating Questionnaire ◽

And Cluster Analysis ◽

Three Factor

Several theories have emerged to study types of eating behavior leading to obesity, but most of the applied models are mainly related to food choice decisions and food consumer behavior. The purpose of this paper was to examine the eating attitudes of Hungarian consumers by applying the Three-Factor Eating Questionnaire (TFEQ-R21). The national representative questionnaire involved 1000 individuals in Hungary in 2019. Several multivariate statistical techniques were applied for the data analysis: exploratory and confirmatory factor analyses, multivariate data reduction techniques, and cluster analysis. This study successfully managed to distinguish the following factors: emotional eating, uncontrolled eating, and cognitive restraint. By using the factors, five clusters were identified: Uncontrolled Emotional Eaters; Overweight, Uncontrolled Eaters; Controlled, Conscious Eaters; the Uninterested; and the Rejecters; all of these could be addressed by public health policy with individually tailored messages. The empirical results led to rejection of the original Three-Factor Eating Questionnaire (TFEQ-R21), while the TFEQ-R16 model could be validated on a representative sample of adults, for the first time in Hungary.

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Eating behaviors and weight loss outcomes in a 12-month randomized trial of diet and/or exercise intervention in postmenopausal women

International Journal of Behavioral Nutrition and Physical Activity ◽

10.1186/s12966-019-0887-1 ◽

2019 ◽

Vol 16 (1) ◽

Author(s):

Caitlin Mason ◽

Jean de Dieu Tapsoba ◽

Catherine Duggan ◽

Ching-Yun Wang ◽

Catherine M. Alfano ◽

...

Keyword(s):

Weight Loss ◽

Binge Eating ◽

Postmenopausal Women ◽

Eating Behavior ◽

Emotional Eating ◽

Eating Behaviors ◽

Dietary Intervention ◽

Restrained Eating ◽

Dietary Weight Loss ◽

Uncontrolled Eating

Abstract Background Certain eating behaviors are common among women with obesity. Whether these behaviors influence outcomes in weight loss programs, and whether such programs affect eating behaviors, is unclear. Methods Our aim was to examine the effect of baseline eating behaviors on intervention adherence and weight among postmenopausal women with overweight or obesity, and to assess intervention effects on eating behaviors. Four hundred and 39 women (BMI ≥25 kg/m2) were randomized to 12 months of: i) dietary weight loss with a 10% weight loss goal (‘diet’; n = 118); ii) moderate-to-vigorous intensity aerobic exercise for 225 mins/week (‘exercise’; n = 117); iii) combined dietary weight loss and exercise (‘diet + exercise’; n = 117); or iv) no-lifestyle change control (n = 87). At baseline and 12 months, restrained eating, uncontrolled eating, emotional eating and binge eating were measured by questionnaire; weight and body composition were assessed. The mean change in eating behavior scores and weight between baseline and 12 months in the diet, exercise, and diet + exercise arms were each compared to controls using the generalized estimating equation (GEE) modification of linear regression adjusted for age, baseline BMI, and race/ethnicity. Results Baseline restrained eating was positively associated with change in total calories and calories from fat during the dietary intervention but not with other measures of adherence. Higher baseline restrained eating was associated with greater 12-month reductions in weight, waist circumference, body fat and lean mass. Women randomized to dietary intervention had significant reductions in binge eating (− 23.7%, p = 0.005 vs. control), uncontrolled eating (− 24.3%, p < 0.001 vs. control), and emotional eating (− 31.7%, p < 0.001 vs. control) scores, and a significant increase in restrained eating (+ 60.6%, p < 0.001 vs. control); women randomized to diet + exercise reported less uncontrolled eating (− 26.0%, p < 0.001 vs. control) and emotional eating (− 22.0%, p = 0.004 vs. control), and increased restrained eating (+ 41.4%, p < 0.001 vs. control). Women randomized to exercise alone had no significant change in eating behavior scores compared to controls. Conclusions A dietary weight loss intervention helped women modify eating behaviors. Future research should investigate optimal behavioral weight loss interventions for women with both disordered eating and obesity. Trial registration NCT00470119 (https://clinicaltrials.gov). Retrospectively registered May 7, 2007.

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Melanocortin-4 Receptor Gene Variation Is Associated with Eating Behavior in Chilean Adults

Annals of Nutrition and Metabolism ◽

10.1159/000439092 ◽

2015 ◽

Vol 68 (1) ◽

pp. 35-41 ◽

Cited By ~ 15

Author(s):

Javier A. Vega ◽

Gloria Salazar ◽

María Isabel Hodgson ◽

Luis Rodrigo Cataldo ◽

Macarena Valladares ◽

...

Keyword(s):

Eating Behavior ◽

Emotional Eating ◽

Leptin Receptor ◽

Receptor Gene ◽

Pathogenic Mutation ◽

Gene Variation ◽

Mc4r Gene ◽

Melanocortin 4 Receptor ◽

Melanocortin 4 Receptor Gene ◽

Mc4r Rs17782313

Background/Aims: To evaluate the association between allelic variants of melanocortin receptors -3 and -4 (MC3R and MC4R, respectively) and leptin receptor (LEPR) genes with body mass index (BMI) and eating behavior. Methods: We selected 344 Chilean adults (57.8% women; age 39.1 ± 6.6 years) with a wide variation in BMI (30.3 ± 6.3 kg/m2). The Three-Factor Eating Questionnaire-R18 that measures uncontrolled eating (UE), emotional eating (EE) and cognitive restraint scores was adapted, validated and assessed for association with BMI. Genotypes were determined by polymerase chain reaction followed by restriction fragment length polymorphism techniques and Taqman assays. Results: Higher EE scores were found in obese vs. non-obese in both men (p = 0.01) and women (p < 0.001). UE scores were significantly associated with BMI only in women (p = 0.002). No significant differences in eating behavior scores or BMI were found by LEPR (rs1137101, rs8179183 and rs1137100 polymorphisms) or MC3R (rs3746619 and rs3827103). Carriers of the C allele for MC4R rs17782313 showed significantly higher scores of UE compared to non-carriers (2.3 ± 0.8 vs. 2.0 ± 0.7; p = 0.02). Additionally, we also report a monogenic case of obesity carrying the pathogenic mutation 449C>T (Thr150Ile) in MC4R gene with no apparent alterations in eating behavior scores. Conclusions: UE scores were higher in C-allele carriers of MC4R-rs17782313 compared to non-carriers.

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Emotional eating and food cravings. A gender comparison of university students

Appetite ◽

10.1016/j.appet.2014.12.198 ◽

2015 ◽

Vol 87 ◽

pp. 403

Author(s):

C. Gonzalez ◽

L. Santos-Merx

Keyword(s):

University Students ◽

Emotional Eating ◽

Food Cravings ◽

Gender Comparison

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Study of Disturbed Eating Behaviors in Children with Attention Deficit Hyperactivity Disorder

QJM ◽

10.1093/qjmed/hcab102.002 ◽

2021 ◽

Vol 114 (Supplement_1) ◽

Author(s):

Heba E Essawy ◽

Ahmed A Abdelgawad ◽

Marwa E Khamis ◽

Alaa Zakaria

Keyword(s):

Attention Deficit Hyperactivity Disorder ◽

Eating Behavior ◽

Attention Deficit ◽

Emotional Eating ◽

Eating Behaviors ◽

Independent Factor ◽

Hyperactivity Disorder ◽

Disturbed Eating ◽

Adhd Children ◽

Z Scores

ABSTRACT Background There is emergent evidence that disturbed eating behaviors, including emotional eating and obesity, co-occur with attention deficit hyperactivity disorder (ADHD) in children. The current study aims to examine the link between ADHD symptoms, eating behaviors and obesity in ADHD children. Patients and Methods 50 ADHD children diagnosed by Conners scale were included. They completed the Emotional Eating scale adapted for children (ESS-C) to evaluate eating in response to emotions. Parents completed the Children’s Eating Behavior Questionnaire (CEBQ) to assess children’s eating behavior. Multivariable regression analysis was used to detect the most independent factor for higher Body mass Index (BMI) risk. Results: Higher rates of overweight/obesity were detected among ADHD children than among normal population. Also, higher Conners global index was associated with higher BMI z-scores. Both Inattentive and combined types were linked to higher BMI, while hyperactive type with lower BMI. Regarding eating behaviors, a positive association between food approach and BMI, and a negative association between food avoidant and BMI z-scores was found. Similarly, there was a noteworthy positive relation between emotional overeating and BMI. 68% of ADHD children were high emotional eaters, mainly inattentive and combined types. Others, mainly hyperactive type, were low emotional eaters. Only ESS-C total score was confirmed as independent factor for higher BMI risk. Conclusion Our findings provide evidence that emotional overeating and food approach eating behaviors are common among ADHD children with higher BMI associated with them. Future studies for better understanding of this overlap will enhance potential interventions.

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