A narrative review of the construct of hedonic hunger and its measurement by the Power of Food Scale

Cognitive evaluations of water, urges to drink, and fluid intake in patients with kidney stones

Increasing fluid intake is a core recommendation for reducing risk of kidney stone recurrence. Thirst is often insufficient to motivate the volume of intake recommended to reduce risk, so this study examined cognitive and affective processes that support fluid intake (water and flavored beverages). Patients (N=230) with a history of kidney stones identified from medical records were recruited to complete an online survey. Participants who associated unflavored water with favorable bodily consequences and positive hedonic experiences were likely to have stronger non-thirst-related urges to drink unflavored water, and those who associated unflavored water with negative hedonic experiences were likely to have stronger non-thirst-related urges to drink flavored drinks. Non-thirst-related urges to drink unflavored water were positively associated with water intake volume, but non-thirst-related urges to drink flavored drinks were negatively associated with water intake volume. These findings establish the importance of affective processing as a target for promoting fluid intake in cases where thirst is not sufficient.

Hunger, Satiety, and Their Vulnerabilities

The psychological states of hunger and satiety play an important role in regulating human food intake. Several lines of evidence suggest that these states rely upon declarative learning and memory processes, which are based primarily in the medial temporal lobes (MTL). The MTL, and particularly the hippocampus, is unusual in that it is especially vulnerable to insult. Consequently, we examine here the impact on hunger and satiety of conditions that: (1) are central to ingestive behaviour and where there is evidence of MTL pathology (i.e., habitual consumption of a Western-style diet, obesity, and anorexia nervosa); and (2) where there is overwhelming evidence of MTL pathology, but where ingestive behaviour is not thought central (i.e., temporal lobe epilepsy and post-traumatic stress disorder). While for some of these conditions the evidence base is currently limited, the general conclusion is that MTL impairment is linked, sometimes strongly, to dysfunctional hunger and satiety. This focus on the MTL, and declarative learning and memory processes, has implications for the development of alternative treatment approaches for the regulation of appetite.

Association of Salty and Sweet Taste Recognition with Food Reward and Subjective Control of Eating Behavior

Sweet and salty tastes are highly palatable and drive food consumption and potentially uncontrolled eating, but it remains unresolved whether the ability to recognize sweet and salty affects food reward and uncontrolled eating. We investigate the association of sweet and salty taste recognition with liking and wanting and uncontrolled eating. Thirty-eight, mainly female (68%) participants of the Obese Taste Bud study, between 22 and 67 years old, with a median BMI of 25.74 kg/m2 (interquartile range: 9.78 kg/m2) completed a taste test, the Leeds Food Preference Questionnaire to assess food reward, the Power of Food Scale (PFS) and the Three-Factor Eating Questionnaire to assess different aspects of uncontrolled eating. Better salty taste recognition predicted greater implicit wanting for high-fat savory foods (β = 0.428, p = 0.008) and higher PFS total (β = 0.315; p = 0.004) and PFS present subscale scores (β = 0.494, p = 0.002). While neither sweet nor salty taste recognition differed between lean individuals and individuals with obesity, those with greater trait uncontrolled eating showed significantly better salty taste recognition (U = 249.0; p = 0.009). Sweet taste recognition did not associate with food reward or uncontrolled eating. Better salty but not sweet taste recognition associates with a greater motivation for, but not liking of, particularly savory high-fat foods and further relates to greater loss of control over eating. Salty taste perception, with taste recognition in particular, may comprise a target to modulate food reward and uncontrolled eating.

Association between hedonic hunger and body mass index in adults: A systematic review and meta-analysis

Hedonic hunger has been proposed as one of the important causes of obesity in recent years. In the present study, we systematically reviewed and meta-analyzed the relationship between hedonic hunger and body mass index (BMI) in healthy adults. PubMed, Web of Science, and Scopus were searched until January 19, 2023. All English-language original observational studies conducted on healthy adult subjects, which used the Power of Food Scale (PFS) to evaluate hedonic hunger were included. Quality assessment was done using the Joanna Briggs Institute checklist, and StataMP-17 software was used for the meta-analysis. After screening, 25 observational studies with a total of 14457 participants were included. Twenty-four studies were cross-sectional, and one was a cohort study. Twenty-two studies examined both sexes, two studies were conducted only on women, and one study conducted analysis separately on men and women. The results of the meta-analysis showed a positive and significant association between hedonic hunger and BMI with a small effect size (r = 0.13, 95% CI: 0.08, 0.18). In addition, a positive significant association was observed between subscales of PFS ("food available", "food present", and "food tasted") and BMI. The association between hedonic hunger and BMI was not affected by the results of meta-regression analysis of %female, mean age & BMI, and sample size. In conclusion, there was a positive significant association between hedonic hunger and BMI, but the effect size was weak. Considering the low quality of included studies, we need longitudinal design studies considering the association between these two variables as a primary outcome for a more accurate conclusion.

Hedonic hunger, ultra-processed food consumption, and the moderating effects of impulsivity in pregnant individuals with body mass index ≥ 25

Evidence suggests higher hedonic hunger (preoccupation with/desire to consume food for pleasure) is associated with greater ultra-processed food (UPF) consumption in non-pregnant individuals with higher, but not lower, self-report impulsivity or delay discounting. The current study tested the association between hedonic hunger and UPF consumption, and the moderating effects of self-report impulsivity and delay discounting, during pregnancy. Individuals (N = 220) with body mass index (BMI)≥25 completed the Power of Food Scale, 24-h dietary recalls, and Barratt Impulsiveness Scale-Version 11 in early-mid pregnancy. A subset enrolled in an ancillary study (n = 143) completed a Delay Discounting Task. Linear regression and moderation models covaried for age, gestational age, pre-pregnancy BMI, and socioeconomic status. The association between hedonic hunger and UPF consumption was nonsignificant (p = 0.47). Self-report impulsivity was not a significant moderator (p = 0.11), but delay discounting was (p = 0.01). Simple slopes analysis revealed a one-unit increase in hedonic hunger was associated with 7% lower UPF intake among participants with lower (M+1SD) delay discounting (p = 0.01) and 1% higher UPF intake among those with higher (M-1SD) delay discounting (p = 0.57). Findings contrast those from research with non-pregnant samples and indicate lower delay discounting may serve as a protective factor, associated with reduced UPF consumption at higher levels of hedonic hunger, during pregnancy.

Cumulative effect of obesity phenotypes on body weight and body mass index

BACKGROUND

Obesity originates from an imbalance between energy intake and expenditure. Changes in energy intake components (satiation, postprandial satiety, emotional eating) and energy expenditure have been linked to obesity and are referred to as obesity phenotypes. We aim to study if these obesity phenotypes have a cumulative effect on body weight and body mass index (BMI).

SUBJECT/METHODS

This is a cross-sectional study of adult patients with obesity (BMI > 30 kg/m2) who completed the validated tests to measure the obesity phenotypes. A total of 464 were included in this study.

INTERVENTIONS/METHODS

We defined higher calories to fullness during an ad libitum meal as abnormal satiation, accelerated time to half gastric emptying with scintigraphy as abnormal postprandial satiety, higher anxiety score on the Hospital Anxiety and Depression Scale as hedonic eating behavior, and decreased percentage of measured resting energy expenditure as abnormal energy expenditure. The primary analysis was done on the number of phenotypes ( ≤ 1 and ≥ 2) with body weight and BMI using an independent t-test.

RESULTS

Our cohort included 464 patients (mean [SD] age 42.0 [10.9] years, 79% females, weight 111.2 [22.9] kg, BMI 38.9 [7.0] kg/m2). There were 294 patients who had ≤ 1 phenotype, and 170 patients with ≥ 2 phenotypes with no baseline demographical differences (i.e., age and sex). Having ≥ 2 phenotypes was associated with higher body weight (115 [25] kg vs. 109 [21] kg; p = 0.004), BMI (40 [8] kg/m2 vs. 38 [7] kg/m2; p = 0.02) and waist (118 [15] cm vs. 115 [13] cm; p = 0.04) and hip (129 [14] cm vs. 125 [13] cm; p = 0.01) circumferences compared to ≤ 1 phenotype.

CONCLUSION

Obesity phenotypes are associated with an additive effect on the body weight and BMI. Patients who have multiple obesity phenotypes may require a more aggressive approach to enhance weight loss.

Cross-sectional association study of hedonic hunger, self-control, cognitive distortion, and well-being with adiposity measures among a sample of urban Malaysian adults

BACKGROUND

We assessed the association of hedonic hunger, self-control (impulsivity and restraint), cognitive distortion (CD), and well-being with adiposity measures such as waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), body mass index (BMI), total body fat (TBF), subcutaneous fat (SF), visceral fat level (VFL), skeletal muscle percentage (SM), and resting metabolism (RM), among a sample of urban Malaysian adults at Sunway University and Sunway College, Selangor, Malaysia.

METHODS

Among 186 participants (M/F = 51/135; aged 22.1 ± 5.0), psychometrics were assessed using Power of Food Scale (PFS), Brief Self-Control Scale, CD Questionnaire (CD-Quest), and WHO-5 Well-being Index. Blood pressures, anthropometrics and body compositions were also measured using standard methods and bioimpedance.

RESULTS

Men had significantly higher well-being, but lower overall self-control, impulsivity and Food Available hedonic hunger. Those with moderate/severe CD had higher odds ratio (OR) of having high central adiposity, compared with those with absent/slight CD (OR: 2.52;95% CI: 1.14, 5.61; p = 0.023 for WC and OR: 2.50; 95% CI: 1.19, 5.23; p = 0.015 for WHR). Higher CD and PFS scores were strongly significantly correlated with higher systolic blood pressure (SBP), WC, WHR, WHtR, BMI, TBF, SF, VFL and RM. Lower self-control was weakly correlated with higher WC, while lower impulsivity and restraint were weakly correlated with higher VFL. Those who were overweight, obese, and in high TBF class had significantly higher PFS Aggregate Factor scores. Food Available and Food Present scores, but not Food Tasted, were also significantly higher among overweight participants.

CONCLUSIONS

Higher hedonic hunger and CD were associated with higher SBP and all adiposity measures. Overweight participants had higher hedonic hunger in the context of ready availability and physical presence of highly palatable foods. Lower self-control was weakly correlated with higher central adiposity; lower impulsivity and restraint were weakly correlated with higher visceral adiposity. These findings have provided some insights into the cognitive factors underlying adiposity.

Daily Dietary Protein Distribution Does Not Influence Changes in Body Composition During Weight Loss in Women of Reproductive Years with Overweight or Obesity: A Randomized Controlled Trial

BACKGROUND

Preservation of fat-free mass (FFM) during intentional weight loss is challenging yet important to maintain a resting metabolic rate. A balanced protein distribution of 25-30 g per meal improves 24-h muscle protein synthesis, which may promote FFM maintenance and greater reductions in fat mass (FM) during weight loss in women.

OBJECTIVES

We aimed to determine whether the daily dietary protein distribution pattern during energy restriction influences changes in body composition in women of reproductive age. We hypothesized that evenly distributing protein across meals compared with the usual intake pattern of consuming most of the protein at the dinner meal would be superior in preserving FFM while reducing FM during weight loss.

METHODS

Healthy women (n = 43) aged 20-44 y with a BMI of 28-45 kg/m2 completed a randomized parallel feeding study testing 2 patterns of daily protein intake (even distribution across all meals compared with a skewed distribution with most protein consumed at the evening meal). Participants completed an 8-wk controlled 20% energy restriction (all foods provided), followed by an 8-wk self-choice phase in which participants were asked to maintain a similar diet and dietary pattern when purchasing and consuming their own foods. Body composition was measured at baseline, week 8, and week 16. Data were analyzed using mixed models. Statistical significance was set at P < 0.05. Data are presented as differences in least squares means ± SE.

RESULTS

No significant main effects of group or group-by-time interactions were observed. All measures exhibited the main effect of time (P < 0.001). Overall, body weight, FFM, FM, and body fat percentage decreased 5.6 ± 0.4, 1.0 ± 0.2, 4.6 ± 0.4 kg, and 2.3 ± 0.2%, respectively, during this 16-wk study.

CONCLUSION

Daily dietary protein distribution at a fixed protein level does not appear to influence changes in body composition during weight loss in women of reproductive age.

CLINICAL TRIAL REGISTRY NUMBER AND WEBSITE WHERE IT WAS OBTAINED

NCT03202069 https://classic.

CLINICALTRIALS

gov/ct2/show/NCT03202069.

The relationship between hedonic hunger and self-stigmatisation in terms of weight and self-esteem in adult people living with obesity

INTRODUCTION

This study aimed to determine the factors influencing the hedonic hunger status of overweight adults and to examine the relationship between hedonic hunger, self-stigmatisation and self-esteem in terms of weight.

METHODS

This cross-sectional study was conducted with 353 people living with obesity who applied to the Endocrine and Internal Medicine Clinic in Samsun, Turkey, between June and October 2022. The data were collected using the Personal Information Form, Power of Food Scale (PFS), Weight Self-Stigmatisation Questionnaire (WSSQ) and Self-Liking/Self-Competence Scale (SLSC) through face-to-face survey method.

RESULTS

About 53.3% of the participants were ≥45 years old, 80.5% were married and 69.1% had previously followed weight loss diet. It was found that those who were aged <45 years, single, those who perceived themselves as overweight, those who had used weight loss diets before and those whose waist-hip ratio were normal had higher hedonic hunger scores (p < 0.05). A negative and significant correlation was found between PSF-Tr general dimension scores and SLSC general dimension, whereas a significant and positive correlation was observed between PSF-Tr general dimension scores and WSSQ general dimension (p < 0.05).

CONCLUSION

As hedonic hunger increased in adults with overweight, self-esteem decreased, and self-stigmatisation in terms of weight increased. Effective interventions are needed to cope with the hedonic hunger that contributes to obesity and to prevent the stigma and low self-esteem experienced by people living with obesity because of their excess weight.

Overactivation of the Endocannabinoid System in Adolescence Disrupts Adult Adipose Organ Function in Mice

Cannabis use stimulates calorie intake, but epidemiological studies show that people who regularly use it are leaner than those who don't. Two explanations have been proposed for this paradoxical finding. One posits that Δ9-tetrahydrocannabinol (THC) in cannabis desensitizes adipose CB1 cannabinoid receptors, stopping their stimulating effects on lipogenesis and adipogenesis. Another explanation is that THC exposure in adolescence, when habitual cannabis use typically starts, produces lasting changes in the developing adipose organ, which impacts adult systemic energy use. Here, we consider these possibilities in the light of a study which showed that daily THC administration in adolescent mice produces an adult metabolic phenotype characterized by reduced fat mass, partial resistance to obesity and dyslipidemia, and impaired thermogenesis and lipolysis. The phenotype, whose development requires activation of CB1 receptors in differentiated adipocytes, is associated with overexpression of myocyte proteins in the adipose organ with unchanged CB1 expression. We propose that adolescent exposure to THC causes lasting adipocyte dysfunction and the consequent emergence of a metabolic state that only superficially resembles healthy leanness. A corollary of this hypothesis, which should be addressed in future studies, is that CB1 receptors and their endocannabinoid ligands may contribute to the maintenance of adipocyte differentiation during adolescence.

Development of an assessment method for freely moving nonhuman primates' eating behavior using manual and deep learning analysis

Purpose

Although eating is imperative for survival, few comprehensive methods have been developed to assess freely moving nonhuman primates' eating behavior. In the current study, we distinguished eating behavior into appetitive and consummatory phases and developed nine indices to study them using manual and deep learning-based (DeepLabCut) techniques.

Method

The indices were utilized to three rhesus macaques by different palatability and hunger levels to validate their utility. To execute the experiment, we designed the eating behavior cage and manufactured the artificial food. The total number of trials was 3, with 1 trial conducted using natural food and 2 trials using artificial food.

Result

As a result, the indices of highest utility for hunger effect were approach frequency and consummatory duration. Appetitive composite score and consummatory duration showed the highest utility for palatability effect. To elucidate the effects of hunger and palatability, we developed 2D visualization plots based on manual indices. These 2D visualization methods could intuitively depict the palatability perception and hunger internal state. Furthermore, the developed deep learning-based analysis proved accurate and comparable with manual analysis. When comparing the time required for analysis, deep learning-based analysis was 24-times faster than manual analysis. Moreover, temporal and spatial dynamics were visualized via manual and deep learning-based analysis. Based on temporal dynamics analysis, the patterns were classified into four categories: early decline, steady decline, mid-peak with early incline, and late decline. Heatmap of spatial dynamics and trajectory-related visualization could elucidate a consumption posture and a higher spatial occupancy of food zone in hunger and with palatable food.

Discussion

Collectively, this study describes a newly developed and validated multi-phase method for assessing freely moving nonhuman primate eating behavior using manual and deep learning-based analyses. These effective tools will prove valuable in food reward (palatability effect) and homeostasis (hunger effect) research.

Hedonic hunger, food addiction, and night eating syndrome triangle in adolescents and ıts relationship with body mass ındex

BACKGROUND

The relationship between adolescent obesity and eating disorders is an issue that needs urgent attention. Screening for eating disorders is as important as dietary interventions to treat obesity. This study aimed to determine the relationship between hedonic hunger, food addiction, and night eating syndrome, which are considered potential risk factors for obesity, and body mass index (BMI) in adolescents.

METHODS

The data were collected through an online questionnaire. The "Power of Food Scale (PFS)" was used to assess hedonic hunger; the "Yale Food Addiction Scale for Children 2.0 (dYFAS-C 2.0)" was used to assess food addiction; and the "Night Eating Questionnaire (NEQ)" was used to assess night eating syndrome (NES)". BMI was calculated using self-reported height and weight values of adolescents. The mediated structural model analysis was performed to evaluate the effect of hedonic hunger on BMI z score via food addiction and NES.

RESULTS

The study was conducted with 614 voluntary adolescents aged between 11 and 18 years. The dYFAS-C 2.0 and NEQ scores were found to be higher in adolescents with overweight and obesity, and the BMI z-score of the adolescents had significant positive correlation with their PFS scores (p < .001). Hedonic hunger has no direct effect on BMI independent of food addiction and NES (β = - 0.051, p = .468), but when the total indirect effect is evaluated with the bootstrap analysis, it was found that one-unit increase in hedonic hunger score increases BMI z-score by approximately 0.22 units (β = 0.223, SE = 0.046, 95% CI 0.131-0.313). Hedonic hunger, food addiction, and NES together explained 5.2% of the total variance in BMI z score.

CONCLUSION

This study showed that hedonic hunger significantly predicted BMI z-score in adolescents through food addiction and NES. This emphasizes the critical importance of evaluating adolescents in terms of hedonic hunger, food addiction, and NES in the prevention, diagnosis, and treatment of obesity.

The Psychological Impact of the Widespread Availability of Palatable Foods Predicts Uncontrolled and Emotional Eating in Adults

This study aimed to investigate the role of the psychological impact of environments rich in palatable foods on three aspects of eating behavior: cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE). The hypotheses were as follows: (a) The psychological impact (i.e., motivation to eat) of an environment rich in palatable foods will positively predict CR, UE, and EE; (b) dieting will predict CR, UE, and EE; and (c) CR, UE, and EE will positively predict body mass index (BMI). This study had a cross-sectional design in which data were collected online from 413 subjects. The psychological impact of food-rich environments (food available, food present, and food tasted) was assessed using the Power of Food Scale (PFS), and CR, UE, and EE were assessed using the Three-Factor Eating Questionnaire (TFEQ-R18). Both instruments were tested for confirmatory factor analysis. The relationship between constructs was measured using partial least-square structural equation modeling (PLS-SEM). "Food available" positively predicted all TFEQ-R18 factors (p < 0.01). "Food present" positively predicted UE (p < 0.001) and EE (p = 0.01). People currently on a diet showed higher levels of CR (p < 0.001) and EE (p = 0.02). UE and EE positively predicted BMI. Thus, CR, UE, and EE were positively predicted by the motivation to consume palatable foods in varying proximity, suggesting that the presence of food and, more importantly, its general availability may be important determinants of eating behavior, particularly UE and EE. Health strategies should consider the influence of the food environment to prevent and better manage impairments in eating behavior. Sex differences suggest that special attention should be paid to women. Furthermore, dieting was associated with higher levels of EE, which in turn was associated with higher BMI. Weight loss interventions should consider this vulnerability.

Transcranial Magnetic Stimulation for Reducing the Relative Reinforcing Value of Food in Adult Patients With Obesity Pursuing Metabolic and Bariatric Surgery: Protocol for a Pilot, Within-Participants, Sham-Controlled Trial

BACKGROUND

Metabolic and bariatric surgery (MBS) is the most effective and durable obesity treatment. However, there is heterogeneity in weight outcomes, which is partially attributed to variability in appetite and eating regulation. Patients with a strong desire to eat in response to the reward of palatable foods are more likely to overeat and experience suboptimal outcomes. This subgroup, classified as at risk, may benefit from repetitive transcranial magnetic stimulation (rTMS), a noninvasive brain stimulation technique that shows promise for reducing cravings and consumption of addictive drugs and food; no study has evaluated how rTMS affects the reinforcing value of food and brain reward processing in the context of MBS.

OBJECTIVE

The goal of the Transcranial Magnetic Stimulation to Reduce the Relative Reinforcing Value of Food (RESTRAIN) study is to perform an initial rTMS test on the relative reinforcing value (RRV) of food (the reinforcing value of palatable food compared with money) among adult patients who are pursuing MBS and report high food reinforcement. Using a within-participants sham-controlled crossover design, we will compare the active and sham rTMS conditions on pre- to posttest changes in the RRV of food (primary objective) and the neural modulation of reward, measured via electroencephalography (EEG; secondary objective). We hypothesize that participants will show larger decreases in food reinforcement and increases in brain reward processing after active versus sham rTMS.

METHODS

Participants (n=10) will attend 2 study sessions separated by a washout period. They will be randomized to active rTMS on 1 day and sham rTMS on the other day using a counterbalanced schedule. For both sessions, participants will arrive fasted in the morning and consume a standardized breakfast before being assessed on the RRV of food and reward tasks via EEG before and after rTMS of the left dorsolateral prefrontal cortex.

RESULTS

Recruitment and data collection began in December 2022. As of October 2023, overall, 52 patients have been screened; 36 (69%) screened eligible, and 17 (47%) were enrolled. Of these 17 patients, 3 (18%) were excluded before rTMS, 5 (29%) withdrew, 4 (24%) are in the process of completing the protocol, and 5 (29%) completed the protocol.

CONCLUSIONS

The RESTRAIN study is the first to test whether rTMS can target neural reward circuits to reduce behavioral (RRV) and neural (EEG) measures of food reward in patients who are pursuing MBS. If successful, the results would provide a rationale for a fully powered trial to examine whether rTMS-related changes in food reinforcement translate into healthier eating patterns and improved MBS outcomes. If the results do not support our hypotheses, we will continue this line of research to evaluate whether additional rTMS sessions and pulses as well as different stimulation locations produce clinically meaningful changes in food reinforcement.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05522803; https://clinicaltrials.gov/study/NCT05522803.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/50714.

Switching between foods: A potential behavioral phenotype of hedonic hunger and increased obesity risk in children

CONTEXT

Reward-based eating is a trait that increases risk for eating in the absence of hunger (EAH) and obesity. Eating behaviors such as switching more frequently between different foods may increase intake during EAH by delaying the onset of sensory-specific satiation (SSS); however, this question has not been empirically tested.

OBJECTIVES

1) Test whether switching between foods mediates the relationship between reward-based eating and EAH intake. 2) Test whether switching between foods during EAH moderates the relationship between reward-based eating and weight status.

METHODS

Data were analyzed from a study assessing decision-making in children (n = 63 children; 9.4 ± 1.4 years, 77.0 ± 22.4 BMI%tile). Reward-based eating was quantified using the Children's Eating Behaviour Questionnaire. EAH was assessed as the amount of palatable food consumed following ad libitum consumption of a standard meal. Videos of eating behavior were coded for eating time, number of different foods consumed, and food switches. Ordinary least squares regressions were conducted to test hypotheses.

RESULTS

Switching was positively associated with EAH intake for both kcal (p < 0.01) and grams (p < 0.01) such that each additional switch was associated with an increased intake of 17.0 kcal or 3.5 gs. Switching mediated the relationship between reward-based eating and EAH (p < 0.01) such that more frequent switching fully accounted for the positive association between reward-based eating and EAH (ps < 0.01). While reward-based eating was also positively associated with weight status (p < 0.01), this association was moderated by food switching (p < 0.01) such that the relationship was stronger for children who switch more frequently (p < 0.01).

CONCLUSIONS

Frequent switching between foods was positively associated with EAH intake and mediated the relationship between reward-based eating and EAH. Moreover, reward-based eating was more strongly related to weight status in children who switched more frequently. Thus, food switching may contribute to overconsumption and be an important behavioral indicator of increased obesity risk in children. Studies across multiple meals and contexts will help determine if switching is a reliable behavioral phenotype.

Not Hungry, but Still Snacking: The Association Between Hedonic Hunger and Snacking Behaviour Among Young Adults in Vadodara, Gujarat

BACKGROUND

Hedonic hunger refers to the recurring thoughts, desires, and feelings about food in the absence of energy deprivation. The influence of hedonic hunger on snacking behaviour remains unclear, particularly among young adults in India.

AIM

The present study aimed to understand the association between hedonic hunger and snacking behaviour among young adults aged 15-24 years in Vadodara, Gujarat.

METHODS

The study utilized a cross-sectional design. A total of 150 young adults from Vadodara, Gujarat, were included in the study. Participants were administered a structured questionnaire. Hedonic hunger scores were measured using the Power of Food Scale assessment. Anthropometric assessment was carried out using validated instruments. The associations between hedonic hunger, snacking behaviour, emotional eating, willpower, exercise, weight, and Body Mass Index (BMI) were examined.

RESULTS

Results showed that 51.3% of individuals had moderate levels of hedonic hunger, while 23.3% exhibited severe signs, indicating a strong inclination towards consuming appetizing foods rich in salt, sugar, and fat. The study found a significant association between hedonic hunger and consumption of certain snacking items. Furthermore, hedonic hunger scores were related to additional factors such as emotional eating, willpower, and exercise. Interestingly, a positive correlation was observed between hedonic hunger scores and participants' weight (r=0.170; P= 0.039), but no such correlation was found with BMI.  Conclusion: These findings shed light on the relationship between hedonic hunger, snacking behaviour, and related factors, contributing to our understanding of the complex interplay between food cravings and eating habits among adolescents.

Relationship of perceived depression, stress, anxiety levels and hedonic hunger

BACKGROUND

This study was designed to explore relationship of perceived depression, anxiety and stress (DAS) levels and hedonic hunger in adults.

METHODS

A cross-sectional survey included questions about some socio-demographic characteristics, Power of Food Scale (PFS-Tr) and Depression Anxiety Stress Scales (DASS-21) was sent via an online platform. Self-reported weight and height were also questioned. A total of 4112 adult volunteers between the ages of 18-65 years participated in this study. 72.3% of them were female.

RESULTS

The prevalence of moderate to extremely severe depression, anxiety, and stress was reported as 31%, 34% and 13% respectively. Hedonic hunger and perceived DAS levels were higher in females (p < 0.001). Hedonic hunger was positively correlated with perceived DAS (p < 0.001). While body mass index (BMI) was positively associated with PFS-Tr total score, food available and food present; negatively associated with food tasted. Body mass index was negatively correlated with perceived DAS. Hedonic hunger and perceived DAS levels decreased with increasing age. Females were more prone to both hedonic hunger and perceived DAS. About one in three participants reported moderate to extremely severe levels of depression and anxiety. Greater perceived DAS levels are associated with hedonic hunger. Underweight individuals had higher levels of perceived DAS.

CONCLUSION

To our knowledge, this is the first study to examine the prevalence and predictors of perceived DAS levels and hedonic hunger in the Turkish adult population. The findings of the study suggest that the predictors such as age, sex and BMI are a part of psychological well-being and hedonic hunger.

Daily ovarian hormone exposure and loss of control eating in adolescent girls: A registered report

OBJECTIVE

The daily biobehavioral factors that precipitate loss of control eating (LOCE) in adolescent girls are not well known. Ovarian hormone levels are key biological factors associated with the etiology of eating disorders in adolescent girls. Yet, models on how daily ovarian hormone exposure predicts LOCE in adolescent girls are underdeveloped. The goal of this study is to examine the daily patterns and mechanisms of ovarian hormone levels on LOCE across the menstrual cycle in adolescent girls and the mediating roles of food-related reward anticipation and response inhibition. Ecological momentary assessment (EMA) paired with daily hormonal sampling will be used to examine (1) daily associations between within-person hormones and LOCE, and (2) the mediating role of within-person food-related reward anticipation and response inhibition.

METHODS

Normally cycling adolescent girls who have reached menarche will provide daily saliva samples for hormone analysis and complete EMA for 35 days. During EMA, girls will report LOCE and will complete task-based and self-report measures of food-related response inhibition and reward anticipation.

DISCUSSION

This work has implications for the development of new real-world biobehavioral models of LOCE in adolescent girls, which will guide theory improvements and treatment for LOCE. Results will provide preliminary evidence for treatment targets for novel interventions for adolescent girls-for example, a response inhibition intervention.

PUBLIC SIGNIFICANCE

Adolescent eating disorders are severe mental health conditions, often marked by loss of control eating. Estrogen and progesterone play a role in the development and persistence of loss of control eating. The current study will examine how daily exposure to estrogen and progesterone predicts loss of control eating in adolescent girls and identify possible daily mechanisms linking estrogen and progesterone exposure and loss of control eating.

Overlapping and distinct relationships between hedonic hunger, uncontrolled eating, food craving, and the obesogenic home food environment during and after a 12-month behavioral weight loss program

Hedonic hunger, reward-driven eating outside of biological need, is a newer construct in eating behavior research. During behavioral weight loss (BWL), greater improvements in hedonic hunger are associated with higher weight loss, but it remains unclear if hedonic hunger predicts weight loss independent of more well-established, similar constructs (uncontrolled eating and food craving). Research also is needed to understand how hedonic hunger interacts with contextual factors (e.g., obesogenic food environment) during weight loss. Adults (N = 283) in a 12-month randomized controlled trial of BWL were weighed at 0, 12, and 24 months, and completed questionnaires assessing hedonic hunger, food craving, uncontrolled eating, and the home food environment. All variables improved at 12 and 24 months. Decreases in hedonic hunger at 12 months were associated with higher concurrent weight loss, but not when accounting for improvements in craving and uncontrolled eating. At 24 months, reduction in craving was a stronger predictor of weight loss than hedonic hunger, but improvement in hedonic hunger was a stronger predictor of weight loss than change in uncontrolled eating. Changes to the obesogenic home food environment failed to predict weight loss, regardless of levels of hedonic hunger. This study adds novel information on the individual and contextual factors associated with short- and long-term weight control, which can help refine conceptual models and treatment strategies.

Ultra-Processed Food, Reward System and Childhood Obesity

Obesity and overweight are a major public health problem globally. Diet quality is critical for proper child development, and an unhealthy diet is a preventable risk factor for noncommunicable diseases (NCDs), such as obesity. Consumption of sugar-sweetened beverages and ultra-processed foods (UPFs) in childhood may increase the BMI/BMI z-score, body fat percentage, or likelihood of overweight. A strict feeding regulation system allows for sufficient food to be consumed to meet ongoing metabolic demands while avoiding overconsumption. This narrative review explores the issues of obesity and the regulation of food intake related to reward systems and UPF consumption. Nutrient composition alone cannot explain the influence of UPFs on the risk of obesity. Furthermore, the non-nutritional properties of UPFs may explain the mechanisms underlying the relationship with obesity and NCDs. UPFs are designed to be highly palatable, appealing, and energy dense with a unique combination of the main taste enhancer ingredients to generate a strong rewarding stimulus and influence the circuits related to feeding facilitation. How individual UPF ingredients influence eating behavior and reward processes remains not fully elucidated. To increase the knowledge on the relationship between UPFs and pediatric obesity, it may be useful to limit the rapid growth in the prevalence of obesity and subsequent related complications, and to develop new strategies for appropriate food and nutrition policies.

A randomised controlled feasibility study of food-related computerised attention training versus mindfulness training and waiting-list control for adults with overweight or obesity: the FOCUS study

BACKGROUND

In a feasibility randomised controlled trial in people with overweight/obesity with and without binge eating disorder (BED) symptoms, we assessed eight weekly sessions of attention bias modification training (ABMT) and mindfulness training (MT) versus waiting list (WL) and explored potential mechanisms.

METHODS

45 participants were randomly allocated to one of three trial arms. Primary outcomes were recruitment, retention and treatment adherence rates. Secondary outcomes included measures of eating behaviour, mood, attention and treatment acceptability. Assessments were conducted at baseline, post-intervention (week 8), and follow-up (week 12).

RESULTS

Participant retention at follow-up was 84.5% across groups. Session completion rates in the laboratory were 87% for ABMT and 94% for MT, but home practice was much poorer for ABMT. Changes in BMI and body composition were small between groups and there was a medium size BMI reduction in the MT group at follow-up. Effect sizes of eating disorder symptom changes were not greater for either intervention group compared to WL, but favoured ABMT compared to MT. Hedonic hunger and mindful eating scores favoured MT compared to ABMT and WL. ABMT reduced attention biases towards high-calorie food cues, which correlated with lower objective binge eating days at post-intervention. No significant changes were observed in the MT, or WL conditions.

CONCLUSIONS

Both ABMT and MT have potential value as adjuncts in the treatment of obesity and BED, and a larger clinical trial appears feasible and indicated.

TRIAL REGISTRATION

ISRCTN Registry, ISRCTN15745838. Registered on 22 May 2018.

Characterizing the Course of Loss of Control Eating and Prognostic Factors Following Bariatric Surgery: an Exploratory Analysis

PURPOSE

Postoperative loss of control eating (LOCE) has detrimental associations with weight outcomes and mental health following bariatric surgery. However, little is known regarding LOCE course following surgery and preoperative factors that predict remittance, continuance, or development of LOCE. The present study aimed to characterize LOCE course in the year following surgery by identifying four groups: individuals with (1) postoperative de novo LOCE, (2) maintained LOCE (endorsed at pre- and post-surgery), (3) remitted LOCE (endorsed only at pre-surgery), and (4) those who never endorsed LOCE. Exploratory analyses examined group differences in baseline demographic and psychosocial factors.

MATERIALS AND METHODS

A total of 61 adult bariatric surgery patients completed questionnaires and ecological momentary assessment at pre-surgery and 3-, 6-, and 12-month postoperative follow-ups.

RESULTS

Results showed that 13 (21.3%) never endorsed LOCE prior to or after surgery, 12 (19.7%) developed LOCE after surgery, 7 (11.5%) evidenced remittance from LOCE after surgery, and 29 (47.5%) maintained LOCE prior to and after surgery. Relative to those who never endorsed LOCE, all groups who evidenced LOCE before and/or after surgery reported greater disinhibition; those who developed LOCE reported less planned eating; and those with maintained LOCE reported less satiety sensitivity and greater hedonic hunger.

CONCLUSION

These findings highlight the importance of postoperative LOCE and need for longer-term follow-up studies. Results also suggest a need to examine the longer-term impact of satiety sensitivity and hedonic eating on LOCE maintenance, and the extent to which meal planning may buffer risk for de novo LOCE following surgery.

Relationship between hedonic hunger and subjectively assessed sleep quality and perceived stress among university students: A cross-sectional study

Purpose

This study examined the relationship between hedonic hunger (HH), sleep quality, and stress levels among university students in the United Arab Emirates and the Kingdom of Bahrain.

Methods

We used a cross-sectional design with participants (N = 565) recruited via convenience sampling. Data were collected with a self-administered, standardized, and validated online questionnaire. HH was assessed with the Palatable Eating Motives Scale (PEMS) and Power of Food Scale (PFS), sleep quality and sleep components were assessed with the Pittsburgh Sleep Quality Index (PSQI), stress was evaluated with the Perceived Stress Scale (PSS), and physical activity was examined with the International Physical Activity Questionnaire. Descriptive and analytical statistics were used to assess the relationship between HH and sleep quality and perceived stress.

Results

There were positive associations between total PSQI scores and total PEMS (β = 0.14, 95% confidence interval [CI]: 0.06-0.25, P = 0.001) and PFS (β = 0.21, 95% CI: 0.45-1.04, P < 0.001). The likelihood of poor sleep quality increased by 8% (odds ratio [OR] = 1.08, P = 0.020) and 43% (OR = 1.43, P < 0.001) for each one-unit increase in PEMS and PFS scores, respectively. We also found positive associations between PSS scores and total PEMS (β = 0.19, 95% CI: 0.26-0.63, P < 0.001) and PFS (β = 0.23, 95% CI: 1.04-2.22, P < 0.001) scores.

Conclusion

Reducing HH and stress levels may help to enhance sleep quality among university students. Conversely, improving sleep quality and reducing stress levels could improve HH in this population.

The development of interoceptive hunger signals

Hunger is often reported when people experience certain internal sensations (e.g., fatigue) or when they anticipate that a food will be good to eat. The latter results from associative learning, while the former was thought to signal an energy deficit. However, energy-deficit models of hunger are not well supported, so if interoceptive hungers are not "fuel gauges," what are they? We examined an alternate perspective, where internal states signaling hunger, which are quite diverse, are learned during childhood. A basic prediction from this idea is offspring-caregiver similarity, which should be evident if caregivers teach their child the meaning of internal hunger cues. We tested 111 university student offspring-primary caregiver pairs, by having them complete a survey about their internal hunger states, alongside other information that may moderate this relationship (i.e., gender, body mass index, eating attitudes, and beliefs about hunger). We observed substantial similarity between offspring-caregiver pairs (Cohen's ds from 0.33 to 1.55), with the main moderator being beliefs about an energy-needs model of hunger, which tended to increase similarity. We discuss whether these findings may also reflect heritable influences, the form that any learning might take, and the implications for child feeding practices.

Exploring the pathways from the power of food to food cravings in a sample of Brazilian young adults

The present study has three main objectives: a) to analyse, for the first time, the factor structure of the Control of Eating Questionnaire (CoEQ) in a Brazilian sample; b) to explore, through in-depth interviews, motivators and consequences of food cravings among participants with high scores on the CoEQ; and c) to analyse whether and how the power of food is related to food cravings. The study involved 335 young adults aged 18-30 years, balanced for sex. The CoEQ and the Power of Food Scale (PFS) were used in an online survey. The CoEQ and PFS were subjected to confirmatory factor analysis. Semi-structured interviews were also conducted with a subsample (n = 20) with high CoEQ scores. The Socratic questioning method was used for the interviews. The interviews were transcribed and analysed according to thematic content analysis. The PFS and the CoEQ showed adequate factor structure with reliable factors. The results of the qualitative analysis showed that both food availability and seeking relief from stressors serve as motives for food cravings. Concern for health and weight gain were cited as consequences of cravings, as was seeking distraction to cope with these cravings. It was found that the PFS aggregate factor was a significant influencing factor for craving control (β = 0.604; p < 0.001), craving for savoury (β = 0.382; p < 0.001), craving for sweet (β = 0.414; p < 0.001) and positive mood (β = -0.198; p < 0.001). The findings suggest that the relationship between food cravings and the power of food is significant in today's obesogenic environment.

Tonight, I'm disordered eating: The effects of food delivery app use, loneliness, and mood on daily body dissatisfaction and disordered eating urges

With the recent proliferation of food delivery applications ('apps'; FDAs), accessing a meal is more convenient and immediate than ever. However, these apps may foster dysregulated eating behaviours, including maladaptive eating to cope with negative emotional states. Using ecological momentary assessment (EMA), the current study assessed whether FDA use at baseline predicted levels of EMA-assessed disordered eating urges and body dissatisfaction, whether negative mood and loneliness impacted disordered eating urges and body dissatisfaction at the state level, and whether the latter relationships were moderated by FDA usage frequency. Participants (N = 483; 78.7% women; 20.1% men; 1.2% other) completed a baseline questionnaire and were characterised as current FDA users (49.3%) or non-users (50.7%). Participants then completed a smartphone-facilitated investigation into their experiences of loneliness, negative mood, body dissatisfaction, and disordered eating urges, six times per day for 7-days. Across the entire sample, current FDA users at baseline reported greater EMA-assessed urges to overeat. At the state level, loneliness and negative mood predicted greater body dissatisfaction, with the latter also predicting greater urges for restrictive eating and overeating. Among current FDA users at baseline, at the state level, loneliness predicted greater body dissatisfaction, and negative mood predicted greater body dissatisfaction and urges for overeating. No moderating effects were observed for baseline FDA usage frequency. These results elucidate FDA use and daily experiences of loneliness and negative mood as factors elevating eating disorder (ED)-related risk. Further extensions of this research with nuanced measures of state FDA use are required.

Do eating behavior traits predict energy intake and body mass index? A systematic review and meta-analysis

At present, it is unclear whether eating behavior traits (EBT) predict objectively measured short-term energy intake (EI) and longer-term energy balance as estimated by body mass index (BMI). This systematic review examined the impact of EBT on BMI and laboratory-based measures of EI in adults ( ≥ 18 years) in any BMI category, excluding self-report measures of EI. Articles were searched up until 28th October 2021 using MEDLINE, PsycINFO, EMBASE and Web of Science. Sixteen EBT were identified and the association between 10 EBT, EI and BMI were assessed using a random-effects meta-analysis. Other EBT outcomes were synthesized qualitatively. Risk of bias was assessed with the mixed methods appraisal tool. A total of 83 studies were included (mean BMI = 25.20 kg/m² , mean age = 27 years and mean sample size = 70). Study quality was rated moderately high overall, with some concerns in sampling strategy and statistical analyses. Susceptibility to hunger (n = 6) and binge eating (n = 7) were the strongest predictors of EI. Disinhibition (n = 8) was the strongest predictor of BMI. Overall, EBT may be useful as phenotypic markers of susceptibility to overconsume or develop obesity (PROSPERO: CRD42021288694).

Assessing hedonic hunger among Chinese adults using the Power of Food Scale: Psychometric properties and cross-cultural invariance between China and the US

Hedonic hunger refers to food consumption for pleasure without biological energy deficits. The Power of Food Scale (PFS) is a well-developed self-report instrument assessing hedonic hunger. The present study aimed to translate and validate the PFS into simplified Chinese (C-PFS) and examine its psychometric properties among Chinese adults. A total of 773 participants (51.1 % men, M age = 24.98 years, SD = 6.10) were recruited in the present study from college and community populations. Consistent with the previous studies, confirmatory factor analysis showed that the C-PFS had three factors: food present, food available, and food tasted. In addition, a Cronbach's alpha of 0.92 and an ICC of 0.86 suggested that the C-PFS has good internal consistency and test-retest reliability. In terms of convergent validity, the scores of C-PFS correlated significantly with disordered eating symptomatology and loss of control over eating. Measurement invariance tests showed that the C-PFS was invariant across gender and sample source groups in the Chinese sample. In addition, a U.S. sample of 490 college students (26.6 % men, M age = 21.41 years, SD = 5.45) was used to test the measurement invariance across countries, and results suggested a partial invariance across college students from China and those from the U.S. In conclusion, the C-PFS can be a useful tool for measuring hedonic hunger among adults in China, and there may be cultural differences in the measurement of the PFS in college students across China and the U.S.

Pfammatter A, Lin AW, Hester J, Hedeker D, Forman E, Spring B. Rationale and design of the SenseWhy project: A passive sensing and ecological momentary assessment study on characteristics of overeating episodes

Objectives

Overeating interventions and research often focus on single determinants and use subjective or nonpersonalized measures. We aim to (1) identify automatically detectable features that predict overeating and (2) build clusters of eating episodes that identify theoretically meaningful and clinically known problematic overeating behaviors (e.g., stress eating), as well as new phenotypes based on social and psychological features.

Method

Up to 60 adults with obesity in the Chicagoland area will be recruited for a 14-day free-living observational study. Participants will complete ecological momentary assessments and wear 3 sensors designed to capture features of overeating episodes (e.g., chews) that can be visually confirmed. Participants will also complete daily dietitian-administered 24-hour recalls of all food and beverages consumed.

Analysis

Overeating is defined as caloric consumption exceeding 1 standard deviation of an individual's mean consumption per eating episode. To identify features that predict overeating, we will apply 2 complementary machine learning methods: correlation-based feature selection and wrapper-based feature selection. We will then generate clusters of overeating types and assess how they align with clinically meaningful overeating phenotypes.

Conclusions

This study will be the first to assess characteristics of eating episodes in situ over a multiweek period with visual confirmation of eating behaviors. An additional strength of this study is the assessment of predictors of problematic eating during periods when individuals are not on a structured diet and/or engaged in a weight loss intervention. Our assessment of overeating episodes in real-world settings is likely to yield new insights regarding determinants of overeating that may translate into novel interventions.

A Proposed Conceptual Sport Nutrition Approach for Athlete Development and Assessment: The Athlete Nutrition Development Approach

Appropriate dietary intake can improve athletes' health and sport performance and is a direct result of eating behaviours. Therefore, assessing and shaping athletes' eating behaviours and dietary intake is critical to the provision of sport nutrition services. As such, nutrition practitioners must also consider the determinants of eating behaviours. However, dietary intake, eating behaviours, and its determinants are inconsistently defined in the literature, requiring nutrition practitioners to navigate a complicated landscape of concepts and terminology. This is further complicated by limitations in practically measuring and influencing eating behaviours and dietary intake. The proposed Athlete Nutrition Development Approach was developed to aid practitioners in servicing decisions through the athlete development process, through a three-tiered approach to sport nutrition service delivery. Tier 1 addresses the determinants of eating behaviours, Tier 2 directly addresses eating behaviours and dietary intake, and Tier 3 addresses the consequences of dietary intake in relation to health and sport performance. Each tier includes tools for assessment and development.

Hedonic hunger status and related factors in adults

PURPOSE

The aim of this study is to determine factors affecting hedonic hunger in adults.

DESIGN AND METHODS

A cross-sectional research design was used to collect face-to-face data from 315 adults, aged 18-65 years, residing in Balıkesir/Turkey by way of a questionnaire.

FINDINGS

Hedonic hunger was found to be higher in women and also rates decreased with age. As body mass index increased, so did hedonic hunger. Hedonic hunger was seen as higher in individuals who do not engage in regular physical activity, those who consume nighttime snacks, and persons who follow a weight loss diet. It has been determined that individuals with hedonic hunger have a high level of food craving, impulsiveness, and low self-esteem.

PRACTICE IMPLICATIONS

Controlling psychological factors such as impulsiveness and self-esteem can be effective in reducing hedonic hunger.

Impact of sleeve gastrectomy compared to Roux-en-y gastric bypass upon hedonic hunger and the relationship to post-operative weight loss

'Hedonic hunger' indicates the desire to consume food in the absence of an energy requirement. Hedonic hunger can be investigated using the validated Power of Food Scale (PFS). Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) are currently the most effective treatment options for severe obesity. Following RYGB, hedonic hunger diminishes, which may contribute to sustained weight loss. There are no data examining the effect of SG on hedonic hunger. We prospectively evaluated hedonic hunger using PFS in patients with severe obesity prior to and 6 months after SG (n = 95) or RYGB (n = 44) and investigated the procedure-specific relationship between percentage weight loss (%WL) and hedonic hunger. Anthropometric data were collected at baseline after 6 months, 12 months and 24 months post-operatively. PFS contains 15 items grouped into 3 domains considering when food is: available (FA), present (FP), tasted (FT) and a total score (TS). At 6 months, a significant reduction was seen in all categories post-SG (p < 0.0001) and in TS (p = 0.003), FA (p = 0.0006) and FP (p = 0.0007) post-RYGB. A significantly larger reduction in FP scores was seen post-SG (p = 0.01). Post-SG, a significant correlation with 6-month %WL was noted for changes in FP (p = 0.03) and TS (p = 0.03). Post-SG changes in FP and TS predicted 24-month %WL. Post-RYGB significant correlations were seen between 6-month %WL and dFA (p = 0.04) and dFP (p = 0.03). Changes in FA, FP and TS were predictive of 12-month %WL. HH is reduced following both SG and RYGB with a greater reduction following SG and is related to post-operative %WL. PFS may have a role as a predictive tool for post-operative outcomes following SG and RYGB.

Changes in food reward and intuitive eating after weight loss and maintenance in former athletes with overweight or obesity

OBJECTIVE

This study aimed to explore the following: 1) the impact of Champ4Life's intervention on intuitive eating and food reward; and 2) associations between changes in eating behavior and changes in body composition.

METHODS

A total of 94 former athletes (mean [SD], BMI = 31.1 [4.3] kg/m² , age = 43.0 [9.4] years, 34% female) assigned to intervention (n = 49) and control groups (n = 45) underwent 4 months of active weight loss (WL) followed by 8 months of WL maintenance. Intuitive eating and food reward were assessed by the Intuitive Eating Scale and the Leeds Food Preference Questionnaire, respectively.

RESULTS

The WL was -4.8% (4.9%) and 0.3% (2.6%) for the intervention and control groups, respectively. Participants reported a decrease in fat bias for explicit/implicit wanting and explicit liking after 4 months and 1 year. For intuitive eating, the unconditional permission to eat decreased after 4 months, and the body-food choice congruence increased after 1 year. Changes in unconditional permission to eat and in body-food choice congruence were positively and negatively associated with both Δweight and with Δfat mass, respectively. Changes in explicit wanting for fat and taste bias were associated with Δweight.

CONCLUSIONS

Food reward decreased after a moderate WL intervention. Participants successfully maintained their reduced weight, and most of the changes in eating behavior remained significant at the end of the follow-up period. Lifestyle interventions aiming at WL should also consider intuitive eating and food reward.

Motivation to consume palatable foods as a predictor of body image dissatisfaction: Using the Power of Food Scale in a Brazilian sample

The Power of Food Scale (PFS) is a questionnaire for self-assessing the motivation to consume palatable foods, especially in environments where food is abundant and constantly available. This study aimed to a) assess the factorial structure of the PFS in a Brazilian sample and b) examine the relationship between the power of food and body image dissatisfaction and BMI. The PFS and Body Shape Questionnaire (BSQ) were applied to a sample of 300 adults. Data were analysed using confirmatory factor analysis. Composite reliability (CR) was used to verify factor reliability. A partial least squares structural equation model was used to verify the effect of the PFS score on body image dissatisfaction. The PFS had an adequate factorial structure in this Brazilian sample, showing three well-defined factors: food available (CR = 0.91), food tasted (CR = 0.84), and food present (CR = 0.87). The BSQ showed one reliable factor (CR = 0.97). The power of the food aggregate factor significantly predicted body mass index (β = 0.16; p = .01) and body image dissatisfaction (β = 0.46; p < .001). The effect size was small for body mass index (f² = 0.02) and medium for body image dissatisfaction (f² = 0.26). The food present factor also had a slightly higher average among the three PFS factors. Women had higher PFS scores than men. Understanding the role that this motivation plays in physical and psychological outcomes such as body dissatisfaction can contribute to developing treatment strategies and support health professionals' performance in clinical settings.

Changes in temporal discounting, hedonic hunger, and food addiction during recovery from substance misuse

Substance use disorders (SUDs) and obesity are both chronic, relapsing, remitting disorders that arise from a heightened preference for immediate-focused rewards (i.e., steep temporal discounting). During recovery from SUDs, overweight and obese outcomes are common as individuals may replace drug rewards for food rewards. However, little has been done to investigate the neuropsychological processes underlying food reward and addiction in individuals recovering from SUDs. Using data collected from the International Quit and Recovery Registry and Amazon Mechanical Turk, we aimed to elucidate the factors that influence the attraction to palatable foods in a population in recovery from substance misuse (n = 114) as well as a population with no history of substance misuse (n = 97). We hypothesized that individuals in recovery from substance misuse would have steeper temporal discounting, an increased drive for palatable foods (i.e., hedonic hunger), and greater food addiction symptoms than non-substance users. Contrary to our hypotheses, we found that individuals in recovery from SUDs show improved outcomes in temporal discounting, hedonic hunger, and food addiction symptoms. Moreover, recovery status and temporal discounting significantly predicted these outcomes. Our findings suggest that the enhanced executive control processes needed for successful SUD recovery may transfer to other reward-related processes such as food reward and consumption. Interventions targeted at improving executive function including episodic future thinking, meditation, or exercise, may be excellent ways to support a successful recovery and improve other reward-related processes, including food consumption, to decrease the risk of overweight or obese outcomes during recovery.

Association study of rs17782313 polymorphism near MC4R gene with obesity/overweight, BMI, and hedonic hunger among women from Northwestern Iran

BACKGROUND: Obesity, as a medical condition, results from interactions between environmental and genetic factors. The rs17782313 polymorphism, located 188kb downstream of the Melanocortin 4 Receptor (MC4R) gene, is one of the essential candidate genetic markers that has shown the highest association with obesity in different populations. OBJECTIVE: This study aimed to investigate the possible associations of rs17782313 polymorphism near the MC4R gene with obesity/overweight, body mass index (BMI), and hedonic hunger among women from the Iranian Azeri ethnic group. METHODS: Five hundred sixty-three women, composed of 396 patients with obesity/overweight and 167 unrelated healthy controls, were genotyped for the rs17782313 polymorphism by applying the polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) method. RESULTS: This population was in Hardy-Weinberg equilibrium (P = 0.878). The study confirmed a significant association of rs17782313 with obesity, where subjects carrying the C/C genotype had higher odds of obesity (OR = 2.681, P = 0.005, 95%CI:1.340–5.365). Also, C allele carriers have statistically significantly higher BMI scores than those carrying the T allele (P = 0.029). However, no significant associations were found among PFS scores and genotypic/allelic groups of rs17782313 polymorphism (P = 0.368). CONCLUSIONS: Our findings suggest that rs17782313 polymorphism is strongly associated with obesity and BMI but not with hedonic hunger among Northwest Iran women. Moreover, the sequencing data analysis in several homozygous and heterozygous carriers of the C allele led to identifying a novel frameshift variant with TCT deletion (rs534212081) in the 166 upstream of rs17782313, which has not been reported so far.

Hedonic hunger: eating for desire and not calories

Hedonic hunger can be described as a state where an individualexperiences recurrent feelings, thoughts, and desires about foodin the absence of energy deprivation. Living in an obesogenicenvironment where cheap, tasty foods are available in plentifulamounts is one of the major causes of hedonic hunger development.Hedonic hunger can be analyzed using a power of foodscale (PFS) which estimates appetite and not palatable food consumption.The current epidemic of obesity globally (termed as“globesity” by WHO) is seen to be majorly driven by the hedoniceating system and an imbalance in the energy homeostasis system.Previous studies indicate that hedonic hunger and obesityare associated, and a weak but no significant correlation existsbetween BMI and PFS score. It can lead to the development ofvarious lifestyle disorders in the longer run. High levels of pleasure-driven hunger can even lead to detrimental health outcomeslike poor glycaemic control, unhealthy dietary behavior,and increased lipid profile levels which are aggravated explicitlyin cardiovascular diseases. With the adaptation to western dietarylifestyle, people are keener to opt for food options that canbe damaging and harmful when low levels of self-control, dietarymotivation, and healthy dietary habits are absent. Apart from thereward regulation system, which has a direct effect on hedonichunger, certain external factors like emotional eating, meals andmeal preparation, food cravings, sleep, physical activity, stress,social media, portion size, peer influence, an atmosphere of arestaurant can also promote more than required intake of food.This review article summarizes the above findings taking into accountthe plethora of research studies conducted so far.

Associations between hedonic hunger and BMI during a two-year behavioural weight loss trial

Objective

Prospective studies on relationships between hedonic hunger and BMI (Body Mass Index) during weight management are lacking. This study examined if hedonic hunger reduced during a behavioural weight management programme, and if hedonic hunger predicted future BMI.

Methods

Participants were 594 community-dwelling, UK-based adults(396 female; age 56.43 years, s.d. = 12.50, range 20–83 years); 490 participants (82.5%) had obesity. Participants were randomised to a 12- or 52-week behavioural weight management intervention (WW12 or WW52, respectively) or a brief self-help intervention (BI). Relationships between hedonic hunger and BMI over 24 months (baseline, 3, 12, 24 months) were analysed using an autoregressive cross-lagged model.

Results

Hedonic hunger scores decreased from 2.71 (s.d. = .91) at baseline to 2.41 (s.d. = .88) at 3 months (p < .001, CI .22 to .38), remained reduced to 24 months, and were not affected by intervention arm at any time point (p’s>.05). Baseline hedonic hunger scores predicted 3-month scores (B = .76, SE = .03, p < .001, CI .71 to .82), 3-month scores predicted 12-month scores (B = .76, SE = .03, p < .001 CI .72 to .80), and 12-month scores predicted 24-month scores (B = .72, SE = .03, p < .001, CI .64 to .77). Higher hedonic hunger at 3 months predicted higher BMI at 12 months (B = .04, SE = .02, p = .03, CI .01 to .07) but not at 24 months (p>.05). BMI at 12 months was lower in WW52 30.87kg/m², s.d. = 5.02) than WW12 (32.12 kg/m², s.d. = 5.58, p = .02, CI .16 to 2.34) and BI (32.74 kg/m², s.d. = 4.15, p = .01, CI .30 to 3.45). BMI was not affected by intervention at any other time point (p’s>.05).

Conclusion

Hedonic hunger reduced during weight management irrespective of intervention. Early reductions in hedonic hunger appear to be associated with lower BMI in the medium-term. Identifying ways to reduce hedonic hunger during weight loss could aid weight management for some people.

Contribution of Hedonic Hunger and Binge Eating to Childhood Obesity

Background: Studies examining the association between hedonic hunger, that is, having frequent thoughts about food in the absence of an energy deficit, and obesity in youth show mixed results. This may be due to the confounding effect of binge eating, which has been associated with both hedonic hunger and obesity. The purpose of this study was to determine the extent to which hedonic hunger is associated with obesity independent of binge eating in youth. Methods: Data for this cross-sectional study were collected from youth enrolled in a larger study of cardiovascular disease and obesity. Linear regression models were used to assess the association between hedonic hunger measured by Power of Food Scale (PFS) and binge eating measured by Eating Disorder Examination-Questionnaire, on percent of the 95th BMI percentile (BMIp95). Results: Among 269 participants (mean age 12.8 years), 16.4% endorsed binge eating. PFS was positively associated with BMIp95 with a difference in percent of BMIp95 of 5.9% [95% confidence interval (1.5-10.3), p = 0.009]. However, when binge eating was added to the model, the relationship between PFS and BMIp95 was no longer significant. Conclusion: Hedonic hunger, above and beyond binge eating, may not be associated with BMI. Future research should examine whether screening for and targeting binge eating rather than hedonic hunger in weight management care may have more impact on obesity outcomes. Clinical Trial Registration number: NCT01508598.

Applying the developmental model of use disorders to hedonic hunger: a narrative review

BACKGROUND AND OBJECTIVES

Hedonic hunger (HH) occurs when individuals are driven to consume highly palatable food for pleasure, rather than to satisfy a caloric need. Currently, the Diagnostic and Statistical Manual of Mental Disorders, 5^th edition (DSM-5) does not recognize HH as a use disorder. Previous research has noted physiological, neurobiological, and treatment similarities between HH, binge eating behavior and substance use, leading to the speculation of the existence of food addiction (FA). The purpose of the current review was to explore the literature on the developmental similarities between substance use, HH, binge eating behavior, and other use disorders to provide more evidence for the recognition of FA as an official use disorder, to add to the evidence in favor of a developmental model of use disorders, and to inform the development of interventions that target modifiable symptoms associated with use disorders.

METHODS

We provide a narrative review of the literature on developmental factors associated with both HH and substance use.

RESULTS & DISCUSSION

Adverse childhood experiences and attachment have been previously linked to both substance use and maladaptive eating behaviors. Adverse childhood experiences are linked with insecure attachment and emotion dysregulation, which is linked with compulsive behaviors and substance use. Clinical and research implications are discussed in terms of a developmental model of use disorders and the formal recognition of FA in the next edition of the DSM.

Hedonic Hunger Is Associated with Intake of Certain High-Fat Food Types and BMI in 20- to 40-Year-Old Adults

BACKGROUND

Hedonic hunger occurs in response to a desire to consume food for pleasure. The μ-opioid system regulates the hedonic impact of food and the opioid receptor mu 1 gene (OPRM1) polymorphism has been associated with fat intake.

OBJECTIVES

The aim of this study was to determine whether the intake of high-fat food is associated with hedonic hunger and the OPRM1 polymorphism and whether these variables are related to BMI.

METHODS

Participants were 20- to 40-y-old women and men enrolled in Poznań, Poland in 2016-2018. The frequency of consumption of high-fat food was measured using a validated application for mobile devices. Hedonic hunger was assessed with the use of the Power of Food Scale (PFS). PFS1, PFS2, and PFS3 scores were generated for food available, food present, and food tasted, respectively. Genotyping of rs1799971 in the OPRM1 gene was performed using TaqMan probes. The associations were analyzed using linear regression or logistic regression, as appropriate.

RESULTS

Hedonic hunger scores were not associated with total high-fat food intake. Total PFS was associated with snack intake (β: 0.16, P = 0.0066). PFS1 was positively associated with healthy high-fat food intake (β: 0.27, P = 0.0001) and PFS2 with sweet high-fat food and fast-food intake (β: 0.27, P = 0.0030). OPRM1 genotype and hedonic hunger interacted on fast-food intake (β: -0.17; P < 0.0154). Total PFS and PFS2 increased the chance of having a BMI ≥ 25 kg/m2 (OR: 1.43; 95% CI: 1.03, 2.01; P = 0.0335 and OR: 1.89; 95% CI: 1.37, 2.61; P = 0.0001, respectively), whereas PFS3 decreased it (OR: 0.61; 95% CI: 0.41, 0.87; P = 0.0082).

CONCLUSIONS

Hedonic hunger is associated with the intake of selected types of high-fat food, but not with its total intake, in people aged 20-40 y. Associations between hedonic hunger and fast-food intake can be modified by OPRM1 genotype. Hedonic hunger is associated with BMI.

Six-month changes in ghrelin and glucagon-like peptide-1 with weight loss are unrelated to long-term weight regain in obese older adults

BACKGROUND AND OBJECTIVE

Weight loss (WL) and subsequent regain are complex physiologic processes, and our understanding of the hormonal changes associated with these processes continues to evolve. We aimed to examine the effects of behavioral WL on 6-month changes in ghrelin and GLP-1 and evaluate the effects of these changes in gut hormones on weight regain among older adults.

SUBJECTS AND METHODS

One hundred seventy-seven obese (BMI: 33.5 (3.5) kg/m2) older adults (66.9 ± 4.7 years, 71.2% female, 67.6% white) were randomized to WL (WL; n = 68), WL plus aerobic training (n = 79), or WL plus resistance training (n = 75) for 18 months. Ghrelin, GLP-1, power of food scale (PFS), and weight were measured at baseline, 6 months, and 18 months.

RESULTS

There was no differential treatment effect on change in either gut hormone, however, there was a significant time effect across all groups (p < 0.001), with increases in ghrelin (∆ = +106.77 pg/ml; 95% CI = + 84.82, +128.71) and decreases in GLP-1 (∆ = -4.90 pM; 95% CI = -6.27, -3.51) at 6-month. Ratings on the PFS decreased from baseline to 6-month and there was significant loss of weight from baseline to either 6- or 18-month, ∆ = -7.96 kg; 95% CI = -7.95, -8.78 and ∆ = -7.80 kg; 95% CI = -8.93, -6.65, respectively (p < 0.001). Changes in ghrelin and GLP-1 at 6-month did not predict weight regain from 6- to 18-month.

DISCUSSION AND CONCLUSION

Among older adults with obesity and cardiometabolic disease, the intensive phase of dietary WL results in increasing levels of ghrelin and decreasing levels of GLP-1 that are unrelated to weight regain a year later. Registered with ClinicalTrials.gov (NCT01547182).

The influence of homeostatic mechanisms on neural regulation of food craving in anorexia nervosa

BACKGROUND

Restrictive food intake in anorexia nervosa (AN) has been related to an overactive cognitive control network inhibiting intuitive motivational responses to food stimuli. However, the influence of short-term homeostatic signaling on the neural regulation of cue-induced food craving in AN is still unclear.

METHODS

Twenty-five women with AN and 25 matched normal-weight women were examined on two occasions after receiving either glucose or water directly into their stomach using a nasogastric tube. Participants were blinded to the type of infusion. An event-related functional magnetic resonance imaging paradigm was used to investigate the effect of intestinal glucose load on neural processing during either simple viewing or distraction from food stimuli.

RESULTS

Neural differences between patients with AN and normal-weight participants were found during the distraction from food stimuli, but not during the viewing condition. When compared to controls, patients with AN displayed increased activation during food distraction in the left parietal lobule/precuneus and fusiform gyrus after water infusion and decreased activation in ventromedial prefrontal and cingulate regions after intestinal glucose load.

CONCLUSIONS

Independent of the cephalic phase and the awareness of caloric intake, homeostatic influences trigger disorder-specific reactions in AN. Food distraction in patients with AN is associated with either excessive higher-order cognitive control during physiological hunger or decreased internally directed attention after intestinal glucose load. These findings suggest that food distraction plays an important role in the psychopathology of AN. This study was registered on clinicaltrials.gov with identifier: NCT03075371.

Commentary on: "What is restrained eating and how do we identify it?": Unveiling the elephant in the room

This paper is a commentary on Polivy, Herman and Mills' (2020) article, entitled "What is restrained eating and how do we identify it?". Polivy et al.'s paper makes a useful contribution by providing guidelines to researchers for choosing the most appropriate measure of restraint for their research questions. However, the authors assume that restrained eating can be appropriately conceptualized as a trait, an assumption I question. They also assume that restrained eating has a causal influence on the outcomes (e.g., counterregulatory eating, negative affect eating, binge eating) with which it has been associated, which I also question. Finally, they ignored a second prominent model for conceptualizing dieting behavior, the Three-Factor Model of Dieting. The Three-Factor Model decomposes the construct of restrained eating into two types of dieting (current weight loss dieting and weight suppression) that do appear to be causally related to eating control and one type (restrained eating to avoid excessive consumption) that modulates likelihood of overeating but does not cause it. I conclude by noting that scientific progress is best served by promoting, not avoiding, discussion and debate about a multiplicity of perspectives on topics of interest, especially when incompatible hypotheses and data exist on such topics.

Longitudinal Prospective Association between Hedonic Hunger and Unhealthy Food and Drink Intake in Adolescents

Hedonic hunger (i.e., extreme responsiveness to food) has been associated with obesity and poor diet, but findings in the existing literature have primarily been cross-sectional. The current study examined hedonic hunger as a prospective predictor of the longitudinal trajectory of unhealthy food and drink intake across adolescence. Ninth grade students from Los Angeles area high schools (analyzed sample N = 3268) completed paper-and-pencil surveys across four annual waves; hedonic hunger was assessed at Wave 1, and unhealthy food and drink intake was assessed at Waves 1-4. Multilevel models showed a significant main effect of hedonic hunger and interactions between hedonic hunger and the linear and quadratic components of time. The association between hedonic hunger and unhealthy food and drink intake was strongest at Wave 1 and weakened over time, yet those with higher hedonic hunger reported greater unhealthy food and drink intake across the four years. Efforts to prevent and intervene upon hedonic hunger and its association with unhealthy food and drink intake during childhood and adolescence are warranted.

Functional Brain Networks: Unique Patterns with Hedonic Appetite and Confidence to Resist Eating in Older Adults with Obesity

OBJECTIVE

The purpose of this study was to determine whether baseline measures of hedonic hunger-the Power of Food Scale-and self-control for food consumption-the Weight Efficacy Lifestyle Questionnaire-were associated with network topology within two sets of brain regions (regions of interest [ROIs] 1 and 2) in a group of older adults with obesity. These previously identified brain regions were shown in a different cohort of older adults to be critical for discriminating weight loss success and failure.

METHODS

Baseline functional magnetic resonance imaging data (resting state and food cue task) were collected in a novel cohort of 67 older adults with obesity (65-85 years, BMI = 35-42 kg/m² ) participating in an 18-month randomized clinical trial on weight regain.

RESULTS

The Power of Food Scale was most related to ROI 1, which includes the visual cortex and sensorimotor processing areas during only the food cue state. During both the food cue and resting conditions, the Weight Efficacy Lifestyle Questionnaire was associated with ROI 2, which includes areas of the attention network and limbic circuitry.

CONCLUSIONS

Our findings show critical, distinct links between brain network topology with self-reported measures that capture hedonic hunger and the confidence that older adults have in resisting the consumption of food because of both intrapersonal and social/environmental cues.

Effects of Sweet-Liking on Body Composition Depend on Age and Lifestyle: A Challenge to the Simple Sweet-Liking-Obesity Hypothesis

Taste hedonics drive food choices, and food choices affect weight maintenance. Despite this, the idea that hyper-palatability of sweet foods is linked to obesity development has been controversial for decades. Here, we investigate whether interpersonal differences in sweet-liking are related to body composition. Healthy adults aged 18–34 years from the UK (n = 148) and the US (n = 126) completed laboratory-based sensory tests (sucrose taste tests) and anthropometric measures (body mass index; BMI, body fat; fat-free mass; FFM, waist/hips circumferences). Habitual beverage intake and lifestyle and behavioural characteristics were also assessed. Using hierarchical cluster analysis, we classified participants into three phenotypes: sweet liker (SL), sweet disliker (SD), and inverted-U (liking for moderate sweetness). Being a SD was linked to higher body fat among those younger than 21 years old, while in the older group, SLs had the highest BMI and FFM; age groups reflected different levels of exposure to the obesogenic environment. FFM emerged as a better predictor of sweet-liking than BMI and body fat. In the older group, sweetened beverage intake partially explained the phenotype–anthropometry associations. Collectively, our findings implicate underlying energy needs as an explanation for the variation in sweet-liking; the moderating roles of age and obesogenic environment require additional consideration.