scholarly journals On the misuse of “weighted” composite scores: the scoring procedure of the FEED questionnaire does not indicate whether it is necessary to differentiate between the frequency of experiencing an emotion and the desire to eat in response to that emotion in the assessment of emotional eating

2021 ◽  
Author(s):  
Adrian Meule
Keyword(s):  
Emotional Eating ◽  
Composite Scores ◽  
Desire To Eat

Do Emotions Cause Eating? The Role of Previous Experiences and Social Context in Emotional Eating

2019 ◽  
Vol 28 (3) ◽  
pp. 234-240 ◽  
Author(s):  
Gizem Altheimer ◽  
Heather L. Urry
Keyword(s):  
Social Context ◽  
Emotional Eating ◽  
Negative Emotion ◽  
Negative Mood ◽  
Experimental Studies ◽  
Future Research ◽  
Discrete Emotions ◽  
Future Studies ◽  
Desire To Eat

Emotional eating is defined as an increase in eating following negative emotion. Self-reported emotional eating has been associated with physical-health concerns. However, experimental studies indicate that negative-mood inductions do not reliably lead to increased eating in healthy eaters, not even among those with a high desire to eat when emotional. We argue that experimental studies will help us understand emotional eating only if they account for the following ideas: (a) Emotional eating may require that people learn to associate emotion with eating, (b) emotional eating may follow only specific discrete emotions, and (c) emotional eating may depend on social context. Each of these points suggests a fruitful direction for future research. Specifically, future studies must acknowledge, identify, and account for variations in the extent to which people have learned to associate emotions with eating; assess or elicit strong discrete emotions; and systematically examine the effect of social context on emotional eating.

Emotional eating in response to specific negative moods: A study among normal weight and overweight females

2006 ◽  
Author(s):  
J. K. Larsen ◽  
T. Van Strien ◽  
R. Eisinga ◽  
R. C. M. E. Engels
Keyword(s):  
Emotional Eating ◽  
Normal Weight

scholarly journals Identification of psychological correlates of dietary misreporting under laboratory and free-living environments

2020 ◽  
pp. 1-12
Author(s):  
Mark Hopkins ◽  
Joanna Michalowska ◽  
Stephen Whybrow ◽  
Graham W. Horgan ◽  
R. James Stubbs
Keyword(s):  
Home Environment ◽  
Emotional Eating ◽  
Dietary Assessment ◽  
Eating Behaviour ◽  
Openness To Experience ◽  
Psychological Traits ◽  
Psychological Correlates ◽  
Dietary Record ◽  
Assessment Techniques ◽  
Diet History

Abstract Errors inherent in self-reported measures of energy intake (EI) are substantial and well documented, but correlates of misreporting remain unclear. Therefore, potential predictors of misreporting were examined. In Study One, fifty-nine individuals (BMI = 26·1 (sd 3·8) kg/m2, age = 42·7 (sd 13·6) years, females = 29) completed a 14-d stay in a residential feeding behaviour suite where eating behaviour was continuously monitored. In Study Two, 182 individuals (BMI = 25·7 (sd 3·9) kg/m2, age = 42·4 (sd 12·2) years, females = 96) completed two consecutive days in a residential feeding suite and five consecutive days at home. Misreporting was directly quantified by comparing covertly measured laboratory weighed intakes (LWI) with self-reported EI (weighed dietary record (WDR), 24-h recall, 7-d diet history, FFQ). Personal (age, sex and %body fat) and psychological traits (personality, social desirability, body image, intelligence quotient and eating behaviour) were used as predictors of misreporting. In Study One, those with lower psychoticism (P = 0·009), openness to experience (P = 0·006) and higher agreeableness (P = 0·038) reduced EI on days participants knew EI was being measured to a greater extent than on covert days. Isolated associations existed between personality traits (psychoticism and openness to experience), eating behaviour (emotional eating) and differences between the LWI and self-reported EI, but these were inconsistent between dietary assessment techniques and typically became non-significant after accounting for multiplicity of comparisons. In Study Two, sex was associated with differences between LWI and the WDR (P = 0·009), 24-h recall (P = 0·002) and diet history (P = 0·050) in the laboratory, but not home environment. Personal and psychological correlates of misreporting identified displayed no clear pattern across studies or dietary assessment techniques and had little utility in predicting misreporting.

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 Emotional Eating in Adolescence: Effects of Emotion Regulation, Weight Status and Negative Body Image

Nutrients ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 79
Author(s):  
Lenka H. Shriver ◽  
Jessica M. Dollar ◽  
Susan D. Calkins ◽  
Susan P. Keane ◽  
Lilly Shanahan ◽  
...  
Keyword(s):  
Body Image ◽  
Emotion Regulation ◽  
Emotional Regulation ◽  
Emotional Eating ◽  
Weight Status ◽  
Normal Weight ◽  
Linear Regression Models ◽  
Obesity Risk ◽  
Negative Body Image ◽  
Increased Risk

Emotional eating is associated with an increased risk of binge eating, eating in the absence of hunger and obesity risk. While previous studies with children and adolescents suggest that emotion regulation may be a key predictor of this dysregulated eating behavior, little is known about what other factors may be influencing the link between emotional regulation and emotional eating in adolescence. This multi-method longitudinal study (n = 138) utilized linear regression models to examine associations between childhood emotion regulation, adolescent weight status and negative body image, and emotional eating at age 17. Emotion regulation predicted adolescent emotional eating and this link was moderated by weight status (β = 1.19, p < 0.01) and negative body image (β = −0.34, p < 0.01). Higher engagement in emotional eating was predicted by lower emotional regulation scores among normal-weight teens (β = −0.46, p < 0.001) but not among overweight/obese teens (β = 0.32, p > 0.10). Higher scores on emotion regulation were significantly associated with lower emotional eating at high (β = −1.59, p < 0.001) and low (β = −1.00, p < 0.01) levels of negative body image. Engagement in emotional eating was predicted by higher negative body image among overweight/obese teens only (β = 0.70, p < 0.001). Our findings show that while better childhood emotion regulation skills are associated with lower emotional eating, weight status and negative body image influence this link and should be considered as important foci in future interventions that aim to reduce emotional eating in adolescence.

scholarly journals Application of three different coaching strategies through a virtual coach for people with emotional eating: a vignette study

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Aranka Dol ◽  
Christina Bode ◽  
Hugo Velthuijsen ◽  
Tatjana van Strien ◽  
Lisette van Gemert-Pijnen
Keyword(s):  
Emotion Regulation ◽  
Emotional Eating ◽  
Negative Emotions ◽  
Eating Behaviour ◽  
Self Esteem ◽  
Adult Women ◽  
Food Cravings ◽  
Vignette Study ◽  
Coaching Strategies ◽  
Applied Design

Abstract Background Around 13% of the world’s population suffers from obesity. More than 40% of people with obesity display emotional eating behaviour (eating in response to negative emotions or distress). It is an alternate to more effective coping strategies for negative emotions. Our study explored the opportunities for helping adults with emotional overeating using a virtual coach, aiming to identify preferences for tailored coaching strategies applicable in a personal virtual coach environment. Three different coaching strategies were tested: a validating, a focus-on-change, and a dialectical one – the latter being a synthesis of the first two strategies. Methods A qualitative study used vignettes reflecting the two most relevant situations for people with emotional eating: 1. experiencing negative emotions, with ensuing food cravings; and 2. after losing control to emotional eating, with ensuing feelings of low self-esteem. Applied design: 2 situations × 3 coaching strategies. Participants: 71 adult women (Mage 44.4/years, range 19–70, SD = 12.86) with high scores on the DEBQ-emotional eating scale (Memo 3.65, range 1.69–4.92, SD = .69) with mean BMI 30.1 (range 18–46, SD = 6.53). They were recruited via dieticians’ practices, were randomly assigned to the conditions and asked how they would face and react to the presented coaching strategies. Data were transcribed and a thematic analysis was conducted. Results Qualitative results showed that participants valued both the validating coaching strategy and the focus-on-change strategy, but indicated that a combination of validation and focus-on-change provides both mental support and practical advice. Data showed that participants differed in their level of awareness of the role that emotions play in their overeating and the need for emotion-regulation skills. Conclusion The design of the virtual coach should be based on dialectical coaching strategies as preferred by participants with emotional eating behaviour. It should be tailored to the different stages of awareness of their emotions and individual emotion-regulation skills.

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