Hunger increases negative and decreases positive emotions in women with a healthy weight

Perceptions and Experiences of People with Obesity and Type 2 Diabetes Around Appetite and Eating Behaviors: A Qualitative Study

INTRODUCTION

Chronic weight management and treatments for type 2 diabetes (T2D) involve a combination of lifestyle-based (diet, exercise) and pharmaceutical interventions. In people with obesity or T2D, understanding the impact of drivers/triggers on appetite and eating behaviors can be crucial to successful medical management. This study aimed to characterize perceptions and experiences regarding appetite and eating behaviors among people with obesity or T2D and identify drivers/triggers of food choices.

METHODS

This non-interventional, cross-sectional, qualitative study utilized semi-structured concept elicitation interviews to explore the perceptions of people with obesity and/or T2D around appetite, eating behaviors and drivers/triggers of food choices. Adult US residents (≥ 18 years) with stable body weight (± 5 kg) in the 3 months preceding participation were included in the study.

RESULTS

Forty-five participants (obesity: n = 15; overweight: n = 10; T2D: n = 20) were interviewed. Interviews were audio-recorded and transcribed verbatim for analysis. A subset of participants described eating behaviors on smartphone-based app tasks over 5 days. Most (> 96%) discussed the influence of hunger, cravings and satiety on food choices. Participants identified 22 drivers/triggers (including health, 95.6%; culture/heritage, 93.3%; location, 91.1%; stress, 88.8%). Participants also discussed associations between drivers/triggers and eating behavior concepts (appetite, hunger, cravings, satiety, motivation/determination). A conceptual model illustrating eating behavior concepts and related drivers/triggers was developed. The concept elicitation interviews identified a multitude of drivers and triggers and characterized the association of such drivers/triggers with seven core patient-reported concepts encompassing eating behaviors.

CONCLUSION

The findings build upon existing models of factors influencing food choices. Findings confirm prior research regarding impact of drivers/triggers on food choice in people with obesity and T2D and indicate underlying disease state does not appear to influence eating behaviors in people with stable body weight.

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.

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.

Ecological momentary assessment of mood regulation eating expectancies in eating disorders: Convergent and predictive validity

OBJECTIVE

Eating expectancies (EE) are the anticipation of various benefits or detriments from eating, with mood regulation being a salient type of EE associated with eating disorders. This study examined the convergent and predictive validity of ecological momentary assessment (EMA) mood regulation EE items, including mood improvement and mood worsening EE.

METHODS

Thirty women with binge-eating pathology completed a 14-day EMA protocol, which included measures of mood regulation EE, affect, appetite, appearance- and body-related factors and disordered-eating behaviours.

RESULTS

Greater within-subjects hunger and lower within-subjects positive affect and fullness were related to elevated mood improvement EE. Higher within-subjects appearance concerns, fullness, body social comparisons and thinness pressure were associated with higher mood worsening EE. Greater within-subjects mood worsening EE predicted greater likelihood of vomiting at the subsequent time point, but there were no within-subjects associations between mood improvement EE and behaviours. Yet, greater between-subjects mood worsening EE were associated with more restraint/restriction and binge eating, and greater between-subjects mood improvement EE were associated with more binge eating.

CONCLUSIONS

Findings support the convergent validity of EMA mood regulation EE items. There was limited predictive validity evidence, suggesting complexities in how mood regulation EE predict behaviour in daily life.

Temporal associations between experiential avoidance and disordered eating behaviors in adolescents and young adults: findings from an epidemiological cohort study with ecological momentary assessment

PURPOSE

Previous studies linking experiential avoidance (EA) and eating pathology have largely relied on single measurements based on traditional retrospective questionnaires. Taking advantage of available repeated assessments of EA and disordered eating behaviors (DEBs) in the everyday lives of young people from an epidemiological cohort, we aimed to investigate ecologically valid temporal associations between these constructs.

METHODS

A random population sample of N = 1180 14-21-year-olds from Dresden, Germany, participated at baseline (2015/2016). As part of smartphone-based ecological momentary assessment (EMA), participants reported on engagement in EA and four DEBs (skipping eating, eating large amounts of food, loss-of-control eating, and restrained eating) up to eight times per day for four days. Multilevel modeling of concurrent and time-lagged associations between EA and DEBs, was conducted among those with at least 50% EMA-compliance (n = 1069).

RESULTS

EA was associated with higher concurrent levels of all four types of concurrent DEBs. In addition, EA significantly predicted subsequent levels of restrained eating. Only loss-of-control eating significantly predicted subsequent EA, and this effect depended on the timespan between consecutive assessments. When this timespan was short, higher Loss-of-control eating predicted lower subsequent EA, while it predicted higher subsequent EA when the timespan was longer.

CONCLUSION

The present findings suggest that EA is temporally closely linked to greater engagement in DEBs, supporting theoretical assumptions that DEBs may serve an attempted avoidance function in the context of unpleasant inner experiences. Future studies may benefit from examining samples with more pronounced eating pathology.

LEVEL OF EVIDENCE

Level IV: Evidence obtained from multiple time series with or without the intervention, such as case studies.

The dynamic network associations of food craving, restrained eating, hunger and negative emotions

OBJECTIVE

Food craving, restrained eating, hunger, and negative emotions may predict and reinforce one another. However, less is known about how they interact together as a complex system in daily life. Therefore, we used a dynamic network approach to examine the associations between food craving, restrained eating, hunger and negative emotions in daily life.

METHODS

Food craving, restrained eating, hunger and negative emotions were measured using ecological momentary assessment three times a day over ten days in a community sample in Israel (n = 123). A two-step multilevel vector auto-regression network analysis was used to estimate temporal, contemporaneous and between-persons networks.

RESULTS

In the temporal network, restrained eating was the most central predictor of eating behaviors and negative emotions, predicting food craving and hunger as well as sadness and loneliness. Food craving was also predicted by hunger and stress, and hunger predicted loneliness. In the contemporaneous network, food craving was associated with hunger and feeling bored, and higher anger was associated with lower restrained eating. Stress and sadness were central negative emotions in the models.

DISCUSSION

This study suggests possible temporal and contemporaneous relationships between food craving, restrained eating, hunger and negative emotions, emphasizing their complex interactions in daily life. Restrained eating and stress should be investigated as potential targets for interventions addressing food craving and overeating.

A systematic and meta-analytic review on the neural correlates of viewing high- and low-calorie foods among normal-weight adults

In the context of current-day online shopping, people select foods based on pictures and using their visual systems. Although there are some reviews of previous neuroimaging studies on appetitive behaviors, the findings on neural activation in response to pictures of high- and low-calorie foods seem inconsistent. This study aims to systematically review, integrate, and meta-analyze neuroimaging evidence of viewing high- and low-calorie foods. There were 25 samples from 24 studies, totalizing 489 normal-weight participants (311 female, 160 male, and 18 of unknown sex). We conducted a systematic review and Activation Likelihood Estimation (ALE) meta-analysis on viewing high-calorie foods (versus non-foods), low-calorie foods (versus non-foods), and high- versus low-calorie foods. In systematic review, several brain regions were shown to be activated when viewing high- or low-calorie foods (versus non-foods) and viewing high- versus low-calorie foods, including the prefrontal cortex, orbitofrontal cortex, amygdala, insula, ventral striatum, hippocampus, superior parietal lobe, and fusiform gyrus. However, the ALE meta-analysis showed that the left orbitofrontal cortex, left amygdala, insula, superior parietal lobe, and fusiform gyrus were activated when viewing high-calorie foods (versus non-foods); the left fusiform gyrus was activated when viewing low-calorie foods (versus non-foods); and no cluster was activated when viewing high- versus low-calorie foods. Our research suggests an appetitive brain network that includes visual perception and attentional processing, sensory input integration, subjective reward value encoding, decision-making, and top-down cognitive control. Future studies should control for the effects of methodological and physiological variables when examining the neural correlates of viewing high- and low-calorie foods.

The Neurobiology of Behavior and Its Applicability for Animal Welfare: A Review

Simple Summary

Animal welfare is the result of physical and psychological well-being and is expected to occur if animals are free: (1) from hunger, thirst and malnutrition, (2) from discomfort, (3) from pain, (4) to express normal behavior, and (5) from fear and distress. Nevertheless, well-being is not a constant state but rather the result of certain brain dynamics underlying innate motivated behaviors and learned responses. Thus, by understanding the foundations of the neurobiology of behavior we fathom how emotions and well-being occur in the brain. Herein, we discuss the potential applicability of this approach for animal welfare. First, we provide a general view of the basic responses coordinated by the central nervous system from the processing of internal and external stimuli. Then, we discuss how those stimuli mediate activity in seven neurobiological systems that evoke innate emotional and behavioral responses that directly influence well-being and biological fitness. Finally, we discuss the basic mechanisms of learning and how it affects motivated responses and welfare.

Abstract

Understanding the foundations of the neurobiology of behavior and well-being can help us better achieve animal welfare. Behavior is the expression of several physiological, endocrine, motor and emotional responses that are coordinated by the central nervous system from the processing of internal and external stimuli. In mammals, seven basic emotional systems have been described that when activated by the right stimuli evoke positive or negative innate responses that evolved to facilitate biological fitness. This review describes the process of how those neurobiological systems can directly influence animal welfare. We also describe examples of the interaction between primary (innate) and secondary (learned) processes that influence behavior.