Self-reported emotional eaters consume more food under stress if they experience heightened stress reactivity and emotional relief from stress upon eating

Encouraging online consumers into making better food choices: The power of nature exposure on healthy food choices

BACKGROUND

online environments can influence food desire and choices. We tested if online calming nature and stressful street environments can affect desire for healthy and unhealthy foods.

METHOD

we asked 238 participants (40 ± 14 yrs) to rate their desire (100 mm VAS) for 7 low calorie nutrient rich foods (Healthy) and 7 high calorie nutrient poor foods (Unhealthy), and perceived stress (state anxiety in STAI), before and after imagining themselves in a control, nature park, or busy street condition.

RESULTS

participants who imagined themselves being in a nature park had a significant higher desire for Healthy foods, than participants in the busy street condition (p < 0.05). Participants in the busy street condition decreased their desire for Healthy foods after they imagined themselves in a busy street (p < 0.05)). However, perceived stress did not impact the association between condition and desire for low calorie foods nor high calorie foods.

CONCLUSION

this study suggests that online environments can have an impact on healthy food desires, which could be of importance for the increased number of food choices which are made in online environments.

The relation between questionnaire-measured self-reported emotional eating and disordered eating behaviors: A meta-analysis of nearly three decades of research

Extensive research exists on the association between self-reported emotional eating (EE) and disordered eating (DE) behaviors. Heterogeneity exists by type (e.g., unidimensional vs. multidimensional) and valence (e.g., negative vs. positive) of self-reported EE, and no previous meta-analyses have examined the association between self-reported EE and DE behaviors. A total of 67 studies (N = 26,289; 43 reporting relations in one model, and 24 reporting relations in more than one model) met inclusion criteria; ranges for age and publication date were 18.0-61.8 years old and 1995 to 2022. Five models quantified relations between DE behaviors and 1) broad negative EE, 2) EE in response to depression, 3) EE in response to anger and anxiety, 4) EE in response to boredom, and 5) EE in response to positive emotions. Using random-effects models, pooled Cohen's d effect sizes suggested small, positive relations between DE behaviors and self-reported broad negative EE (d = 0.40, p < 0.001), EE-depression (d = 0.41, p < 0.001), EE-anger/anxiety (d = 0.35, p < 0.001), and EE-boredom (d = 0.38, p < 0.001). A significant, but very small, positive relation was observed between DE behaviors and self-reported EE-positive (d = 0.08, p = 0.01). Subgroup analyses suggested a medium, positive relation between self-reported broad negative EE and binge eating (d = 0.53, p < 0.001) and a small, positive relation between self-reported broad negative EE and dietary restraint (d = 0.20, p < 0.001). Significant heterogeneity was identified across all models except for the EE-boredom and DE behaviors model. Higher BMI, but not age, clinical status, or type of DE behavior strengthened the positive relation between self-reported broad negative EE and DE behaviors. Findings support previous research suggesting that negative and positive EE are distinct constructs, with negatively valenced EE being more closely associated with DE behaviors, especially binge eating.

Lifetime stressor exposure is associated with greater rewarding effects of stress-related eating

Acute stressors tend to shift preferences toward comfort foods, yet they do not ubiquitously increase the amount of food consumed. Moreover, although many individuals eat more under stress, others eat less or show no change. Although the precise mechanisms explaining this variability in stress-related eating are unknown, they may be driven by individual differences in the rewarding effects of comfort eating, which are enhanced by greater lifetime stressor exposure. To investigate this possibility, we examined whether differences in lifetime stressor exposure predicted reductions in negative affect following snacking (i.e., negative reinforcement) and if this effect was specific to stress-related snacking or snacking in general. Participants were 26 women (23 % non-White) between 20 and 45 years old (M = 31), with a mean body mass index of 26, who completed three laboratory visits. Participants completed an assessment of lifetime stressor exposure (i.e., STRAIN) on the first visit and, on two subsequent laboratory visits in counterbalanced order, were given snacks after an acute social stress task (i.e., TSST) or rest period. Greater lifetime stressor exposure was related to greater post-ingestive decreases in negative affect following the acute social stressor but not following the rest period. If stress-related eating is more comforting for women with greater lifetime stressors and contributes to a stronger stress-eating association, then this may inform obesity-related clinical treatments that target behaviors and cognitions related to reward-based learning.

Longitudinal associations between psychosomatic and emotional status and selected food portion sizes in European children and adolescents: IDEFICS/I.Family study

This study aims to investigate the influence of psychosomatic and emotional status on food portion sizes (PSs) consumption from high energy-dense food groups in European children and adolescents. We hypothesized that psychosomatic and emotional status would have a significant association with the PS selection of energy-dense food. The study included 7355 children aged between 2 and 9.9 years at baseline (T0) (48.8% females); 3869 after 2 years (T1) (48.2% females), and 2971 (51.8% females) after 6 years of follow-up (T3). Psychosomatic and emotional status were measured using emotional well-being during the last week score (KINDL) and Strengths and Difficulties Questionnaire. PS was calculated from daily food intake recorded in 24-hour dietary recalls. The associations between emotional status indicators and PS from selected energy-dense food groups were assessed by multilevel linear regression models. In the cross-sectional analysis, we observed that higher KINDL scores were linked to lower PS consumption from sweet bakery products and savory snacks in both genders. Moreover, we found that adolescent females with high emotional and peer problem scores tended to consume larger PS of carbohydrate-rich and sugar-fatty food items (P < .017). Longitudinally, higher peer problem scores were associated with increased PS from bread and rolls, margarine and lipids, and dairy products in all genders and age groups (P< .017). In adolescents, psychosomatic and emotional status could be a trigger for consuming large PS from carbohydrate-rich and sugar-fatty energy-dense foods. Thus, nutritional interventions should consider emotional status to decrease unhealthy dietary habits in children and adolescents.

Momentary stress-induced food craving: An ecological momentary assessment study comparing perceived interpersonal and non-interpersonal stressors

Daily-life stressors and food cravings are dynamic and vary within and across persons. Some evidence suggests interpersonal stressors increase appetite. However, little is known about the association of food craving with different types of stressors at the momentary level in the general population. We aimed to explore the momentary relationships between daily-life stressful events and food craving in a non-clinical community sample, and to compare the associations with food craving when the most stressful event was perceived as interpersonal versus non-interpersonal. We used ecological momentary assessment (EMA) to collect reports on the most stressful event, perceived stressor type, stressor appraisal, and food craving from 123 adults three times a day scheduled at fixed intervals over 10 days. Mixed effects random intercepts and slopes models examined the within- and between-person associations. Experiencing a stressor was significantly positively associated with within-person food craving at the same measurement. No differences in momentary food craving were found when the most stressful event was perceived as interpersonal or non-interpersonal (within-person level). However, frequently reporting the most stressful event as interpersonal (vs. non-interpersonal) was positively associated with food craving across the study (between-person level), particularly when the stressor was appraised as more unpleasant. Daily-life stressors were associated with momentary food craving. Individuals who generally perceived interpersonal stressors as their most stressful event tended to experience food cravings. Future research could further investigate the role of interpersonal stressors as a factor for overeating in daily life and the potential benefits of stress management in interventions.

Emotional Eating and Cardiovascular Risk Factors in the Police Force: The Carolina Blue Project

There is an association between emotional eating and cardiovascular disease (CVD) risk factors; however, little is known about this association in the police force. This study explores the associations between emotional eating and CVD risk factors in law enforcement officers in North Carolina. Four hundred and five officers completed The Emotional Eating Scale, and 221 of them completed the assessment for CVD-related markers. Descriptive statistics, Pearson's correlation, and multiple linear regression analyses were performed. Emotional eating in response to anger was significantly positively associated with body weight (β = 1.51, t = 2.07, p = 0.04), diastolic blood pressure (β = 0.83, t = 2.18, p = 0.03), and mean arterial pressure (β = 0.84, t = 2.19, p = 0.03) after adjusting for age and use of blood pressure medicine. Emotional eating in response to depression was significantly positively associated with triglycerides (β = 5.28, t = 2.49, p = 0.02), while the emotional eating in response to anxiety was significantly negatively associated with triglycerides (β = -11.42, t = -2.64, p = 0.01), after adjusting for age and use of cholesterol medicine. Our findings offer new insights to address emotional eating and lower CVD risk in law enforcement officers.

Associations Among Stress, Internalized Weight Stigma, Emotional Eating, and Body Composition in Active-Duty Service Members Enrolling in a Randomized Controlled Trial of a Weight Management Program

BACKGROUND

Obesity is a critical public health concern with particular relevance to US military personnel. Stress and internalized weight stigma ("stigma") may contribute to and maintain obesogenic processes and behaviors, including emotional eating. In this secondary cross-sectional analysis, we examined (1) associations among stress and stigma with emotional eating and body fat percentage (BF%), (2) whether stress explains the association between stigma and emotional eating, and (3) whether emotional eating explains associations between stress and stigma with BF%.

METHOD

Active-duty military service members (N = 178) completed BF% assessment and questionnaires assessing stress, stigma, and emotional eating.

RESULTS

Structural equation modeling path analyses showed that stress and stigma were both significantly associated with emotional eating (b = 0.35, p < 0.001 and b = 0.23, p < 0.001, respectively) and with BF% (b = 0.38, p < 0.001 and b = 0.29, p < 0.001, respectively) such that individuals who reported higher stress and stigma tended to report more emotional eating and had higher BF%. Stress partially explained the association between internalized weight stigma and emotional eating, and emotional eating partially explained the relationship between stress and BF% but did not significantly mediate the association between stigma and BF%.

CONCLUSION

Greater stress and internalized weight stigma were associated with more emotional eating and higher BF%; however, emotional eating only partially explained the association between stress and BF%. Results highlight the importance of interventions targeting stress management skills, but additional research is needed to identify mechanisms that explain the association between stigma and BF%.

Adaptive and maladaptive emotion regulation skills are associated with food intake following a hunger-induced increase in negative emotions

Many individuals would like to lose weight and often attempt to do so by dieting. However, dieting attempts often backfire and contribute to the risk of weight gain and obesity. Food restriction inevitably leads to hunger and hunger, in turn, induces negative emotions. The inability to regulate such a hunger-induced increase in negative emotions in an adaptive way may be responsible for overeating. The current study aimed to gain a better understanding of this potential psychological mechanism underlying failed dieting attempts. Adaptive and maladaptive emotion regulation (ER) were assessed with an online questionnaire in women with a healthy weight. Subsequently, participants were assigned to the fasted condition (fasting for 14h, n = 49) or the satiated condition (eating between 2 h and 30 min before the lab session, n = 59) and attended a lab session in which they completed tasks while given the opportunity to eat chips and M&M's. We did not find an association between any ER variable and the likelihood to begin eating. Among those who began eating, higher scores on adaptive cognitive ER and on maladaptive behavioral ER were associated with lower caloric intake in fasted individuals. Higher scores on adaptive behavioral ER were associated with higher caloric intake in fasted individuals. Utilizing adaptive cognitive ER when experiencing a hunger-induced increase in negative emotions may help individuals manage their food intake and maintain a healthy weight.

Emotional Eating in College Students: Associations with Coping and Healthy Eating Motivators and Barriers

BACKGROUND

Emotional eating, or eating in response to stress and other negative affective states, bears negative consequences including excessive weight gain and heightened risk of binge eating disorder. Responding to stress with emotional eating is not universal, and it is important to elucidate under what circumstances and by what mechanisms stress is associated with emotional eating. This is particularly important to understand among college students, who are at risk of experiencing heightened stress and negative changes to dietary habits.

METHOD

The present study investigated the relationships among perceived stress, emotional eating, coping, and barriers to and motivators of healthy eating both concurrently and 1 year later in a sample of young adult college students (n = 232).

RESULTS

At baseline, emotional eating was significantly associated with perceived stress (r = 0.36, p < .001), barriers to (r = 0.31, p < .001) and motivators of (r =  - 0.14, p < .05) healthy eating, and avoidance coping (r = 0.37, p < .001), but not approach coping. Furthermore, avoidance coping mediated (indirect effect b = 0.36, 95% CI = 0.13, 0.61) and moderated (b =  - 0.07, p = 0.04) the relationship between perceived stress and emotional eating. Contrary to study hypotheses, baseline stress levels were not associated with emotional eating 1 year later.

CONCLUSION

College students who utilize avoidance coping strategies may be particularly susceptible to the effects of stress on emotional eating. Healthy eating interventions targeting college students might address stress coping strategies in addition to reduction of barriers to healthy eating.

Eating when depressed, anxious, bored, or happy: An examination in treatment-seeking adults with overweight/obesity

Emotions that differ in valence are uniquely associated with eating. In our previous study with an online sample of adults with overweight/obesity, eating in response to depression was the type of emotional eating most closely associated with negative psychosocial correlates (Braden et al., 2018). The current study extended this research by examining associations between emotional eating types (eating in response to depression, anxiety, boredom, happiness) and psychological correlates among treatment-seeking adults. The present study was a secondary analysis of adults (N = 63; 96.8% female) with overweight/obesity and self-identified emotional eating who completed a baseline assessment for a behavioral weight loss intervention. Emotional eating in response to depression (EE-depression), anxiety/anger (EE-anxiety/anger), and boredom (EE-boredom) were assessed with the revised Emotional Eating Scale (EES-R), and positive emotional eating (EE-positive) was assessed with the positive emotions subscale of the Emotional Appetite Questionnaire (EMAQ). The Eating Disorder Examination Questionnaire (EDE-Q), Binge Eating Scale (BES), Difficulties in Emotion Regulation Scale (DERS), and Patient Health Questionnaire-9 (PHQ-9; depressive symptoms) were also administered. Frequencies showed the most endorsed emotional eating type was EE-depression (44.4%; n = 28). Four multiple regression analyses examined associations between emotional eating (EE-depression, EE-anxiety/anger, EE-boredom, and EE-positive) and dependent variables (EDE-Q, BES, DERS, and PHQ-9). Results showed that depression was the emotional eating type most closely related to disordered eating, binge eating, and depressive symptoms. Eating in response to anxiety was closely related to emotion regulation difficulties. Positive emotional eating was related to less depressive symptoms. Exploratory analyses showed that lower levels of positive emotional eating were related to higher depressive symptoms among adults with greater emotion regulation difficulties. Researchers and clinicians may consider tailoring weight loss treatment based on unique emotions that trigger eating.

Daily Hassles and Eating Behaviours in Adults: Exploring the Buffering Effects of Daily Uplifts

Existing research has shown that daily hassles are associated with increases in between-meal snacking, often resulting in the increased consumption of high sweet and high fat foods. However, it is currently unclear whether the presence of daily uplifts may buffer the negative effects of daily hassles on unhealthy eating behaviour. Therefore, the current study explored the main and interactive effects of daily hassles and daily uplifts on snacking behaviours in adults. One hundred and sixty participants (M age: 23.69 years) reported their daily hassles, daily uplifts and snacking behaviours over the preceding 24 hour period. Participants' emotional eating style was also measured. Using moderated regression analysis, the daily hassles x daily uplifts interaction was found to be statistically significant for both total snack and unhealthy snack consumption. Simple slopes analyses showed that the relationship between daily hassles and snacking was weaker and non-significant at higher levels of daily uplifts compared to moderate and lower levels. The current study provides novel evidence that daily uplifts may act as a buffer against the negative impact of daily hassles on food consumption.

Emotions and Food Consumption: Emotional Eating Behavior in a European Population

Emotion can reflect in the perception of food consumption. An increase in food intake during emotional and psychological conditions may have a negative impact on human health. The aim of this cross-sectional study was to determine the associations between food consumption, emotional eating behavior, and emotional conditions such as stress, depression, loneliness, boredom eating, maintaining vigilance and alertness, and emotional food consolation. We used a Motivations for Food Choices Questionnaire (Eating Motivations, EATMOT) to determine the emotional aspects of food consumption in 9052 respondents living in 12 European countries between October 2017 and March 2018. Ordinal linear regression was used to identify the associations between the emotional eating behavior and emotional conditions such as stress, depression, loneliness, emotional consolation, and reasons to improve physical and psychological conditions. The regression models confirmed the associations between food consumption, emotional conditions, and emotional eating behavior. Associations were found between the emotional eating behavior and stress (odds ratio (OR) = 1.30, 95% confidence interval (CI) = 1.07-1.60, p = 0.010), depressive mood (OR = 1.41, 95% CI = 1.40-1.43, p < 0.001), loneliness (OR = 1.60, 95% CI = 1.58-1.62, p < 0.001), boredom (OR = 1.37, 95% CI = 1.36-1.39, p < 0.001), and emotional consolation (OR = 1.55, 95% CI = 1.54-1.57, p < 0.001). Emotional eating was associated with an effort to improve physical and psychological conditions, such as controlling body weight (OR = 1.11, 95% CI = 1.10-1.12, p < 0.001), keeping awake and alert (OR = 1.19, 95% CI = 1.19-1.20, p < 0.001) and consumption to feel good (OR = 1.22, 95% CI = 1.21-1.22, p < 0.001). In conclusion, emotions might provoke emotional eating behavior. The appropriate way to handle stress, depression, or other emotional states is important in conditions of being emotionally overwhelmed. The public should be educated on how to handle different emotional states. The focus should be moved somehow from emotional eating and the consumption of unhealthy food to healthy lifestyle practices, including regular exercise and healthy eating habits. Thus, it is necessary to halt these negative health effects on human health through public health programs.

THIRSTY FOR FRUCTOSE: Arginine Vasopressin, Fructose, and the Pathogenesis of Metabolic and Renal Disease

We review the pathways by which arginine vasopressin (AVP) and hydration influence the sequelae of the metabolic syndrome induced by high fructose consumption. AVP and inadequate hydration have been shown to worsen the severity of two phenotypes associated with metabolic syndrome induced by high fructose intake-enhanced lipogenesis and insulin resistance. These findings have implications for those who frequently consume sweeteners such as high fructose corn syrup (HFCS). Patients with metabolic syndrome are at higher risk for microalbuminuria and/or chronic kidney disease; however, it is difficult to discriminate the detrimental renal effects of the metabolic syndrome from those of hypertension, impaired glucose metabolism, and obesity. It is not surprising the prevalence of chronic renal insufficiency is growing hand in hand with obesity, insulin resistance, and metabolic syndrome in those who consume large amounts of fructose. Higher AVP levels and low hydration status worsen the renal insufficiency found in patients with metabolic syndrome. This inter-relationship has public health consequences, especially among underserved populations who perform physical labor in environments that place them at risk for dehydration. MesoAmerican endemic nephropathy is a type of chronic kidney disease highly prevalent in hot ambient climates from southwest Mexico through Latin America. There is growing evidence that this public health crisis is being spurred by greater fructose consumption in the face of dehydration and increased dehydration-dependent vasopressin secretion. Work is needed at unraveling the mechanism(s) by which fructose consumption and increased AVP levels can worsen the renal disease associated with components of the metabolic syndrome.

Multi-Frequent Band Collaborative EEG Emotion Classification Method Based on Optimal Projection and Shared Dictionary Learning

Affective computing is concerned with simulating people’s psychological cognitive processes, of which emotion classification is an important part. Electroencephalogram (EEG), as an electrophysiological indicator capable of recording brain activity, is portable and non-invasive. It has emerged as an essential measurement method in the study of emotion classification. EEG signals are typically split into different frequency bands based on rhythmic characteristics. Most of machine learning methods combine multiple frequency band features into a single feature vector. This strategy is incapable of utilizing the complementary and consistent information of each frequency band effectively. It does not always achieve the satisfactory results. To obtain the sparse and consistent representation of the multi-frequency band EEG signals for emotion classification, this paper propose a multi-frequent band collaborative classification method based on optimal projection and shared dictionary learning (called MBCC). The joint learning model of dictionary learning and subspace learning is introduced in this method. MBCC maps multi-frequent band data into the subspaces of the same dimension using projection matrices, which are composed of a common shared component and a band-specific component. This projection method can not only make full use of the relevant information across multiple frequency bands, but it can also maintain consistency across each frequency band. Based on dictionary learning, the subspace learns the correlation between frequency bands using Fisher criterion and principal component analysis (PCA)-like regularization term, resulting in a strong discriminative model. The objective function of MBCC is solved by an iterative optimization algorithm. Experiment results on public datasets SEED and DEAP verify the effectiveness of the proposed method.