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Analysis of actual transactions in a grocery store shows that households enrolled in the U.S. government's Supplemental Nutritional Assistance Program (SNAP) purchase more unhealthy hedonic food, compared with households that do not receive SNAP benefits. SNAP households purchased more unhealthy hedonic food regardless of whether they used government funds or cash to pay for their purchases. Three follow-up simulated grocery shopping studies were designed to understand the mechanisms underlying this food consumption pattern by SNAP households. SNAP households, compared with households that do not receive SNAP benefits, reported stronger food craving. Stronger food craving was associated with lower unhealthiness perception of hedonic food. Overall, the results suggest that food cravings can reduce perceptions of unhealthiness and thus increase unhealthy food purchases. Interventions that reduce the effect of food cravings on shopping decisions might reduce unhealthy consumption. [ABSTRACT FROM AUTHOR]

Purpose: Emotional eating during negative emotions might underlie disordered eating behavior (i.e., binge eating and food restriction). Positive emotions, by contrast, seem to promote healthier eating behavior. Naturalistic research on the links between emotions and eating across individuals with binge-eating disorder (BED), bulimia nervosa (BN), binge-purge anorexia nervosa (AN-BP), and restrictive anorexia nervosa (AN-R) is, however, lacking. Methods: Individuals without eating disorders (comparison group, CG, n = 85), and patients with BED (n = 41), BN (n = 50), AN-BP (n = 26), and AN-R (n = 29) participated in an ecological momentary assessment study. Six daily notifications over eight days prompted ratings of momentary food craving and emotional states differing in valence and arousal. Results: Results supported specific emotion-food-craving patterns in each group. Compared to the CG, arousing negative emotions and higher cravings co-occurred in patients with BN. In patients with AN-BP (at trend level also in patients with AN-R) less arousing negative emotions and lower cravings co-occurred. In patients with AN, positive emotions and higher cravings co-occurred whereas in patients with BED less arousing positive emotions and lower cravings co-occurred. Conclusion: The found emotion-craving associations may underlie group-specific (dys-)functional eating behaviors, i.e., binge eating and food restriction during negative emotions in patients with BN and AN, and normalized appetitive responses during positive emotions in patients with BED and AN. Therapeutic efforts could target arousing negative emotions in patients with BN, and less arousing negative emotions in patients with AN. Positive emotions could be used in a salutogenetic approach in patients with BED and AN. [ABSTRACT FROM AUTHOR]

Individual differences in reward salience may relate to the difficulty in regulating the effects of multiple substances (e.g., nicotine and food). Increased brain activation in reward and self-regulation (SR) regions has been evidenced while adults view appetitive cues (e.g., food pictures) to test substance use disorder treatment response. Enhancing SR with behavioral interventions may increase brain activation in SR regions and reduce responses in reward regions. Our primary analysis demonstrated increased brain activation in SR regions to smoking cues among individuals who practiced SR by delaying their first cigarette of the day for 2 weeks. However, little is known about the generalizability of SR between appetitive cues. This secondary analysis explored the influence of adherence to a SR behavioral intervention by examining the impact of practicing smoking SR on brain activation to food cues among adults who smoke. Participants (N = 65) were randomly assigned to practice SR by delaying their first daily cigarette or smoking as usual for 2-weeks. Functional magnetic resonance imaging data were collected while people were told to think of "negative" or "positive" associations with the cue. The results indicated that practicing smoking SR was linked with increased activation in the dorsolateral prefrontal cortex (dlPFC) when viewing food cues. There was no correlation between delaying smoking adherence and brain activation in the dlPFC. Exploratory analyses suggested higher dlPFC activation when people thought about "positive" associations with the food cues instead of "negative" ones. We concluded that practicing smoking SR is related to increased brain activation to food cues, suggesting potential generalizability of SR practice from smoking cues to food cues. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Abstract Purpose Emotional eating during negative emotions might underlie disordered eating behavior (i.e., binge eating and food restriction). Positive emotions, by contrast, seem to promote healthier eating behavior. Naturalistic research on the links between emotions and eating across individuals with binge-eating disorder (BED), bulimia nervosa (BN), binge-purge anorexia nervosa (AN-BP), and restrictive anorexia nervosa (AN-R) is, however, lacking. Methods Individuals without eating disorders (comparison group, CG, n = 85), and patients with BED (n = 41), BN (n = 50), AN-BP (n = 26), and AN-R (n = 29) participated in an ecological momentary assessment study. Six daily notifications over eight days prompted ratings of momentary food craving and emotional states differing in valence and arousal. Results Results supported specific emotion-food-craving patterns in each group. Compared to the CG, arousing negative emotions and higher cravings co-occurred in patients with BN. In patients with AN-BP (at trend level also in patients with AN-R) less arousing negative emotions and lower cravings co-occurred. In patients with AN, positive emotions and higher cravings co-occurred whereas in patients with BED less arousing positive emotions and lower cravings co-occurred. Conclusion The found emotion-craving associations may underlie group-specific (dys-)functional eating behaviors, i.e., binge eating and food restriction during negative emotions in patients with BN and AN, and normalized appetitive responses during positive emotions in patients with BED and AN. Therapeutic efforts could target arousing negative emotions in patients with BN, and less arousing negative emotions in patients with AN. Positive emotions could be used in a salutogenetic approach in patients with BED and AN.

Introduction: Craving is a multifactorial behavior caused by central circuit imbalance. The proposed treatments involve exercise and reduced food intake. However, the treatments frequently fail. This study aimed to investigate the effect of 10 consecutive sessions of anodal transcranial direct current stimulation over the right dorsolateral prefrontal cortex on food craving and eating consumption of women affected by overweight and obesity. Methods: A randomized double-blind controlled trial with 50 volunteers was divided into two groups (active-tDCS: n = 25 and sham-tDCS: n = 25). There were a total of 10 consecutive tDCS sessions (2 mA, for 20 min) with an F4 anodal-F3 cathodal montage. We evaluated the effects on eating behavior (food craving, uncontrolled eating, emotional eating, and cognitive restriction), food consumption (calories and macronutrients), and anthropometric and body composition variables (weight, body mass index, waist circumference, and body fat percentage). Results: There were no statistically significant results between groups at the baseline regarding sociodemographic and clinical characteristics. Also, there was no significant interaction between time versus group for any of the variables studied. Treatment with tDCS was well tolerated and there were no serious adverse effects. Conclusions: In women affected by overweight and obesity with food cravings, 10 sessions of F4 (anodal) and F3 (cathodal) tDCS did not produce changes in eating behavior, food consumption, and anthropometric and body composition. [ABSTRACT FROM AUTHOR]

Neurofunctional coupling between the dopaminergic midbrain (i.e., ventral tegmental area, VTA) and higher-order visual regions may contribute to food craving, leading to the onset or maintenance of obesity. We recently showed that the VTA resting-state functional connectivity with the occipitotemporal cortex, at the level of the fusiform gyrus (FFG), was specifically associated with trait food craving and the implicit bias for food images, suggesting that VTA-FFG connectivity may reflect the association between the visual representations of food and its motivational properties. To further test this hypothesis, this time we studied task-based functional connectivity in twenty-eight healthy-weight participants while imagining eating their most liked high-calorie (HC) or least liked low-calorie food (LC) or drinking water (control condition). Trait food craving scores were used to predict changes in task-based functional connectivity of the VTA during imagery of HC compared to LC foods (relative to the control condition). Trait food craving was positively associated with the functional connectivity of the VTA with the left FFG: people with higher trait food craving scores show stronger VTA-FFG connectivity, specifically for the imagery of the liked HC foods. This association was not linked to the quality of imagery nor to state measures of craving, appetite, or thirst. These findings emphasize the contribution of the functional coupling between dopaminergic midbrain and higher-order visual regions to food craving, suggesting a neurofunctional mechanism by which the mental representations of the HC food we like can become much more salient if not irresistible. [ABSTRACT FROM AUTHOR]

Study purpose. At the end of the twentieth century, the development of highly reliable and painless non-invasive transcranial brain stimulation techniques and devices has aroused great scientific and clinical interest in numerous fields. In neuroscience, since the introduction of innovative and non-invasive devices such as the brain stimulator, the investigation of cortical processes and their neural basis has played a fundamental role. Furthermore, neuroscientists are attracted to therapeutic applications for the treatment of food craving. This narrative review is aimed to explain the growing and constant interest of neuroscientific experimentation in the field of non-invasive transcranial stimulation. Material and methods. After an introduction explaining the historical evolution of NIBS, we will try to provide an overview of the two stimulation techniques (TMS and tDCS); we will describe the different types of stimulation that can be performed using these techniques, the excitatory/inhibitory effects, and the various mechanisms of action at the level of brain activity. Results. We will also provide some elucidations regarding the implications of the facilitative/inhibitory effects, and how these stimulation methods can be used to advance knowledge of the neurofunctional organization of the brain. Conclusion. The results of the study showed the effect of brain neuromodulation on sports and nutrition.

Objective: The field of chrononutrition suggests that mealtime can influence food intake. Previous studies have linked the caloric midpoint – defined as the time at which 50% of the daily energy is consumed – with different aspects of food consumption. However, its relationship with food craving remains unexplored. This cross-sectional study aimed to investigate the association between caloric midpoint, food craving, and food consumption in pregnant women. Methods: The study comprised 233 pregnant women classified as early eaters (caloric midpoint ≤ 1:00pm) and late eaters (caloric midpoint >1:00pm). Food craving were assessed using Food Craving Trait and State Questionnaires. Energy and nutrient intake, as well as mealtimes, were assessed using a 24-h food recall. Results: No association between caloric midpoint and food craving was found. However, late eaters consumed more calories (2039.47 kcal vs 1843.44 kcal; p < 0.001), carbohydrates (255.06 g vs 211.12 g; p = 0.002), total fat (73.1 g vs 64.8 g; p = 0.003), monounsaturated fat (21.33 mg vs 18.59 mg; p = 0.002) and saturated fat (24.37 mg vs 22.21 mh; p = 0.01) and had higher consumption of calories and macronutrients in the first (calories: 275.63 vs 213.41, p = 0.007; carbohydrate: 170.42 vs 142.54, p = 0.01; total fat: 56.49 vs 50.17, p = 0.04) and second (calories: 213.21 vs 151.59, p = 0.04; carbohydrate: 130.44 vs 96.6, p = 0.04; protein: 15.17 vs 13.71, p = 0.03) afternoon snack, dinner (calories: 576.89 vs 412.4, p < 0.001; carbohydrate: 230.76 vs 169.45, p < 0.001; protein: 80.48 vs 68.9, p = 0.02; total fat: 212.77 vs 147.12, p < 0.001) and late-night snack (calories: 135.75 vs 68.3, p = 0.04; total fat: 13.23 vs 22.45, p = 0.04) than early eaters. Conclusion: Pregnant women who concentrate their meals at later times consumed more calories, macro and micronutrients throughout the day and in the night meals when compared to early eaters. [ABSTRACT FROM AUTHOR]

Study purpose. At the end of the twentieth century, the development of highly reliable and painless non-invasive transcranial brain stimulation techniques and devices has aroused great scientific and clinical interest in numerous fields. In neuroscience, since the introduction of innovative and non-invasive devices such as the brain stimulator, the investigation of cortical processes and their neural basis has played a fundamental role. Furthermore, neuroscientists are attracted to therapeutic applications for the treatment of food craving. This narrative review is aimed to explain the growing and constant interest of neuroscientific experimentation in the field of non-invasive transcranial stimulation. Material and methods. After an introduction explaining the historical evolution of NIBS, we will try to provide an overview of the two stimulation techniques (TMS and tDCS); we will describe the different types of stimulation that can be performed using these techniques, the excitatory/inhibitory effects, and the various mechanisms of action at the level of brain activity. Results. We will also provide some elucidations regarding the implications of the facilitative/inhibitory effects, and how these stimulation methods can be used to advance knowledge of the neurofunctional organization of the brain. Conclusion. The results of the study showed the effect of brain neuromodulation on sports and nutrition. [ABSTRACT FROM AUTHOR]

The aim of the present study was to simultaneously audit hormonal contraceptive (HC) use, menstrual cycle characteristics and training/nutrition related profiles in pre-menopausal women from varying athletic and exercise backgrounds. Elite (n = 51), sub-elite (n = 118) and amateur (n = 392) female athletes and exercisers were examined via an anonymous quantitative/qualitative survey tool. All analyses for ratio data were conducted utilising one- and two-way ANOVA/ANCOVA and odds ratio models, with ordinal data analysed via Pearson's Chi-squared tests. HC use was similar across elite, sub-elite and amateurs (34–44%). Menstrual cycle length was not different (P = 0.08) between competitive levels (28 ± 13 days), but 66% of respondents reported cycle variability (10 ± 11 days). Training profiles were not different based on contraceptive status (P > 0.05) yet were across competitive groups (P < 0.05). Daily meal/snack intakes were not different between contraceptive status (P > 0.05), though elite and sub-elite groups reported a higher daily meal consumption compared to amateurs (P < 0.01). Forty percent of all respondents skipped meals, attributed to lack of time, schedule and alterations in appetite, with reported changes in taste preferences during pre-menses (14–35%) and menses (15–25%) towards sweet foods (60%), with cravings for chocolate and other confectionary (25%). Prevalence of dietary supplement use was not influenced by contraceptive status (P = 0.31), though elites (76%) reported higher use (P = 0.04) than amateurs (63%). Data demonstrates that in female athletes and exercisers, competitive level appears to affect simple markers of training and nutrition practice, yet contraceptive status does not. Graphical abstract This is a visual representation of the abstract. [ABSTRACT FROM AUTHOR]

Individual differences in reward salience may relate to the difficulty in regulating the effects of multiple substances (e.g., nicotine and food). Increased brain activation in reward and self-regulation (SR) regions has been evidenced while adults view appetitive cues (e.g., food pictures) to test substance use disorder treatment response. Enhancing SR with behavioral interventions may increase brain activation in SR regions and reduce responses in reward regions. Our primary analysis demonstrated increased brain activation in SR regions to smoking cues among individuals who practiced SR by delaying their first cigarette of the day for 2 weeks. However, little is known about the generalizability of SR between appetitive cues. This secondary analysis explored the influence of adherence to a SR behavioral intervention by examining the impact of practicing smoking SR on brain activation to food cues among adults who smoke. Participants (N = 65) were randomly assigned to practice SR by delaying their first daily cigarette or smoking as usual for 2-weeks. Functional magnetic resonance imaging data were collected while people were told to think of “negative” or “positive” associations with the cue. The results indicated that practicing smoking SR was linked with increased activation in the dorsolateral prefrontal cortex (dlPFC) when viewing food cues. There was no correlation between delaying smoking adherence and brain activation in the dlPFC. Exploratory analyses suggested higher dlPFC activation when people thought about “positive” associations with the food cues instead of “negative” ones. We concluded that practicing smoking SR is related to increased brain activation to food cues, suggesting potential generalizability of SR practice from smoking cues to food cues.

Neurofunctional coupling between the dopaminergic midbrain (i.e., ventral tegmental area, VTA) and higher-order visual regions may contribute to food craving, leading to the onset or maintenance of obesity. We recently showed that the VTA resting-state functional connectivity with the occipitotemporal cortex, at the level of the fusiform gyrus (FFG), was specifically associated with trait food craving and the implicit bias for food images, suggesting that VTA-FFG connectivity may reflect the association between the visual representations of food and its motivational properties. To further test this hypothesis, this time we studied task-based functional connectivity in twenty-eight healthy-weight participants while imagining eating their most liked high-calorie (HC) or least liked low-calorie food (LC) or drinking water (control condition). Trait food craving scores were used to predict changes in task-based functional connectivity of the VTA during imagery of HC compared to LC foods (relative to the control condition). Trait food craving was positively associated with the functional connectivity of the VTA with the left FFG: people with higher trait food craving scores show stronger VTA-FFG connectivity, specifically for the imagery of the liked HC foods. This association was not linked to the quality of imagery nor to state measures of craving, appetite, or thirst. These findings emphasize the contribution of the functional coupling between dopaminergic midbrain and higher-order visual regions to food craving, suggesting a neurofunctional mechanism by which the mental representations of the HC food we like can become much more salient if not irresistible.

Objectives: The primary objective was to explore the effects of a body scan meditation, a form of mindfulness practice, on reducing negative affect and food cravings in emotional eaters. We also examined if rumination, perceived body boundaries, and spatial frames of reference mediated this effect. Additionally, we investigated whether trait measures of mindfulness, equanimity, interoceptive awareness, and cognitive defusion could moderate these effects. Method: Emotional eaters were randomly assigned to either a body scan meditation or an active control (listening) task. All participants completed moderator measures before coming into the lab. At the in-person visit, participants engaged in a negative emotion induction, completed measures of mediator and outcome variables, participated in the intervention, and then completed the mediator measures again. Results: Emotional eaters in the body scan meditation group experienced a significantly greater decrease in negative affect and food cravings post-intervention compared to those in the control group. However, the hypothesized mediation effects of rumination, perceived body boundaries, and spatial frames of reference and moderation effects of trait measures were not found to be significant. Conclusions: This preliminary study suggests that the body scan meditation effectively reduces negative affect and food cravings in individuals with emotional eating. However, further research is needed to delve deeper into potential mediators and moderators influencing this effect. Preregistration: The study was registered on http://clinicaltrials.gov (ID: NCT05223348). [ABSTRACT FROM AUTHOR]

Objective: Knowledge on predictors for treatment response to psychotherapy in binge‐eating disorder (BED) is mixed and not yet available for increasingly popular neurofeedback (NF) treatment targeting self‐regulation of aberrant brain activity. This study examined eating disorder‐ and psychopathology‐related predictors for NF treatment success in BED. Method: Patients with BED (N = 78) were randomized to 12 sessions of real‐time functional near‐infrared spectroscopy (rtfNIRS)‐NF, targeting individual prefrontal cortex signal up‐regulation, electroencephalography (EEG)‐NF, targeting down‐regulation of fronto‐central beta activity, or waitlist (WL). The few studies assessing predictors for clinical outcomes after NF and evidenced predictors for psychotherapy guided the selection of baseline eating disorder‐related predictors, including objective binge‐eating (OBE) frequency, eating disorder psychopathology (EDP), food cravings, and body mass index (BMI), and general psychopathology‐related predictors, including depressive and anxiety symptoms, impulsivity, emotion dysregulation, and self‐efficacy. These questionnaire‐based or objectively assessed (BMI) predictors were regressed on outcomes OBE frequency and EDP as key features of BED at post‐treatment (t1) and 6‐month follow‐up (t2) in preregistered generalized mixed models (https://osf.io/4aktp). Results: Higher EDP, food cravings, and BMI predicted worse outcomes across all groups at t1 and t2. General psychopathology‐related predictors did not predict outcomes at t1 and t2. Explorative analyses indicated that lower OBE frequency and higher self‐efficacy predicted lower OBE frequency, and lower EDP predicted lower EDP after the waiting period in WL. Discussion: Consistent with findings for psychotherapy, higher eating disorder‐related predictors were associated with higher EDP and OBE frequency. The specificity of psychopathological predictors for NF treatment success warrants further examination. Public Significance: This exploratory study firstly assessed eating disorder‐ and psychopathology‐related predictors for neurofeedback treatment outcome in binge‐eating disorder and overweight. Findings showed an association between higher eating disorder symptoms and worse neurofeedback outcomes, indicating special needs to be considered in neurofeedback treatment for patients with a higher binge‐eating disorder symptom burden. In general, outcomes and assignment to neurofeedback treatment may be improved upon consideration of baseline psychological variables. [ABSTRACT FROM AUTHOR]

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Anorexia nervosa (AN) is characterized by an intense fear of weight gain, dietary restriction resulting in a significant weight loss compared with what is expected, and a disturbance in body image on a psychological basis. Recently, cases of AN associated with food addiction (FA) were described in almost all patients (69%), bringing a controversial aspect to the restrictive subtype (AN-r) that, in theory, even in the absence of binge eating, would present difficulties regarding control. Objectives: To report a case of an adolescent with AN-r associated with FA. Methods: Clinical history, current status, psychiatric diagnosis, and scores on scales to assess FA, food craving, and binge eating were analyzed. Results: This case report emphasizes the importance of new diagnostic tools to identify FA and whether it exists in people with AN-r beyond distress regarding eating behavior, cravings, and guilt. Eating behavior also presents a negative value that delays the elaboration process and the emergence of food cravings. In addition, an analysis of the association between the diagnostic criteria for substance use disorder, binge eating disorder, anorexia nervosa, and bulimia nervosa with the Yale Food Addiction Scale statements and criteria was discovered. Conclusions: Based on the characteristics of AN, emotional dysregulation and eating difficulties seem to overlap with FA symptoms.

Anorexia nervosa (AN) is characterized by an intense fear of weight gain, dietary restriction resulting in a significant weight loss compared with what is expected, and a disturbance in body image on a psychological basis. Recently, cases of AN associated with food addiction (FA) were described in almost all patients (69%), bringing a controversial aspect to the restrictive subtype (AN-r) that, in theory, even in the absence of binge eating, would present difficulties regarding control. Objectives: To report a case of an adolescent with AN-r associated with FA. Methods: Clinical history, current status, psychiatric diagnosis, and scores on scales to assess FA, food craving, and binge eating were analyzed. Results: This case report emphasizes the importance of new diagnostic tools to identify FA and whether it exists in people with AN-r beyond distress regarding eating behavior, cravings, and guilt. Eating behavior also presents a negative value that delays the elaboration process and the emergence of food cravings. In addition, an analysis of the association between the diagnostic criteria for substance use disorder, binge eating disorder, anorexia nervosa, and bulimia nervosa with the Yale Food Addiction Scale statements and criteria was discovered. Conclusions: Based on the characteristics of AN, emotional dysregulation and eating difficulties seem to overlap with FA symptoms. [ABSTRACT FROM AUTHOR]

Plain English summary Young adults are increasingly using social media to share images, videos and opinions on a wide range of areas including food. Young people discuss recipes tips, nutritional opinions or specific diet advice. Online platforms expose young people to a set of contradictory data, often generalist, and non-individualized advice that can create the feeling of being overwhelmed by information. This study aimed to understand the potential impact of this increasingly frequent exposure to social media on eating behaviors of young adults. The results showed that longer exposure times to social media were indirectly linked to an irrepressible urge to eat via increased impulsivity. High impulsivity scores were also indirectly related to food craving via food restriction. A better understanding of the links between social media, food craving and eating behaviors could help researchers and clinicians to better guide young adults in their use and appropriation of social media food contents. By knowing more precisely the processes at work behind exposure to social media, it can become possible to undertake awareness actions in order to prevent the development of subsequent eating issues.

Obesity represents one of the wellness diseases concurring to increase the incidence of diabetes, cardiovascular diseases, and cancer. One of the main perpetuating factors of obesity is food craving, which is characterized by an urgent desire to eat a large and various amount of food, regardless of calories requirement or satiety signals, and it might be addressed to the alteration of the dorsolateral prefrontal cortex (DLPFC) activity. Despite most of the gold-standard therapies focus on symptom treatment only, non-invasive brain stimulation techniques such as transcranial direct current stimulation (tDCS) could help treat overeating by modulating specific neural pathways. The current systematic review was conducted to identify whether convergent evidence supporting the usefulness of tDCS to deal with food craving are present in the literature. The review was conducted by searching articles published up to January 1st 2022 on MEDLINE, Scopus and PsycInfo databases. We included studies investigating the effects of tDCS on food craving in subjects affected by overweight and obesity. According to eligibility criteria, 5 articles were included. Results showed that tDCS targeting left DLPFC with unipolar montage induced ameliorating effects on food craving. Controversial results were shown for the other studies, that might be ascribable to the use of bipolar montage, and the choice of other target areas. Further investigations including expectancy effect control, larger sample sizes and follow-up are needed to support more robust conclusions. To conclude, tDCS combined with the use of psychoeducative intervention, diet and physical activity, might represents a potential to manage food craving in individuals with overweight and obesity.

Weight gain and metabolic disturbances are frequent in people treated with second generation antipsychotics (SGA). We aimed to investigate the effect of SGAs on eating behaviors, cognitions and emotions, as a possible contributor to this adverse effect. A systematic review and a meta-analysis were conducted following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Original articles measuring outcomes relating to eating cognitions, behaviours and emotions, during treatment with SGAs were included in this review. A total of 92 papers with 11,274 participants were included from three scientific databases (PubMed, Web of Science and PsycInfo). Results were synthesized descriptively except for the continuous data where meta-analyses were performed and for the binary data where odds ratios were calculated. Hunger was increased in participants treated with SGAs with an odds ratio for appetite increase of 1.51 (95% CI [1.04, 1.97]; z = 6.40; p < 0.001). Compared to controls, our results showed that craving for fat and carbohydrates are the highest among other craving subscales. There was a small increase in dietary disinhibition (SMD = 0.40) and restrained eating (SMD = 0.43) in participants treated with SGAs compared to controls and substantial heterogeneity across studies reporting these eating traits. There were few studies examining other eating-related outcomes such as food addiction, satiety, fullness, caloric intake and dietary quality and habits. Understanding the mechanisms associated with appetite and eating-related psychopathology changes in patients treated with antipsychotics is needed to reliably inform the development of effective preventative strategies. [ABSTRACT FROM AUTHOR]

Cue-induced food cravings are strong desires directed toward specific foods, usually ones with high caloric content, and can lead to overeating. However, although food cravings vary according to individual preferences for specific high-calorie food subtypes, a structured library of food craving-inducing pictures including multiple categories of high-calorie foods does not yet exist. Here, we developed and validated a picture library of Chinese foods (PLCF) consisting of five subtypes of high-calorie foods (i.e., sweets, starches, salty foods, fatty foods, and sugary drinks) to allow for more nuanced future investigations in food craving research, particularly in Chinese cultural contexts. We collected 100 food images representing these five subtypes, with four food items per subtype depicted in five high-resolution photographs each. We recruited 241 individuals with overweight or obesity to rate the food pictures based on craving, familiarity, valence, and arousal dimensions. Of these participants, 213 reported the severity of problematic eating behaviors as a clinical characteristic. Under the condition of mixing multiple subtypes of high-calorie foods, we did not observe significant differences in craving ratings for high- and low-calorie food images (ptukey > 0.05). Then, we compared each subtype of high-calorie food images to low-calorie ones, and found craving ratings were greater for the images of salty foods and sugary drinks (ps < 0.05). Furthermore, we conducted a subgroup analysis of individuals according to whether they did or did not meet the criteria for food addiction (FA) and found that greater cravings induced by the images of high-calorie food subtypes (i.e., salty foods and sugary drinks) only appeared in the subgroup that met the FA criteria. The results show that the PLCF is practical for investigating food cravings. [ABSTRACT FROM AUTHOR]

BackgroundFood craving relates to unhealthy eating behaviors such as overeating or binge eating and is thus a promising target for digital interventions. Yet, craving varies strongly across the day and is more likely in some contexts (external, internal) than in others. Prediction of food cravings ahead of time would enable preventive interventions.ObjectiveThe objective of this study was to investigate whether upcoming food cravings could be detected and predicted from passive smartphone sensor data (excluding geolocation information) without the need for repeated questionnaires.MethodsMomentary food craving ratings, given six times a day for 14 days by 56 participants, served as the dependent variable. Predictor variables were environmental noise, light, device movement, screen activity, notifications, and time of the day recorded from 150 to 30 min prior to these ratings.ResultsIndividual high vs. low craving ratings could be predicted on the test set with a mean area under the curve (AUC) of 0.78. This outperformed a baseline model trained on past craving values in 85% of participants by 14%. Yet, this AUC value is likely the upper bound and needs to be independently validated with longer data sets that allow a split into training, validation, and test sets.ConclusionsCraving states can be forecast from external and internal circumstances as these can be measured through smartphone sensors or usage patterns in most participants. This would allow for just-in-time adaptive interventions based on passive data collection and hence with minimal participant burden.

Objectives: To characterize a group of university students in social isolation regarding their eating behaviors and to investigate whether dieters have a tendency to engage in binge-eating. Study Design: Cross-sectional study carried out during Brazil’s first months of social isolation. Methods: University students filled out the Eating Attitudes Test—EAT, the Binge-eating Scale—BES, and the Hay questionnaire. In addition, the current research also evaluated food cravings (FC) and intuitive eating. Student’s t-test was used to compare the effect sizes (Cohen’s d) between groups. Results: More than 90% of participants were isolated from academic activities, and 68% reported significant dietary change. Those who dieted (n = 57) were less confident in signs of hunger and satiety (d = −0.9, p < 0.001) and had higher binge-eating and FC levels than those who did not diet. Conclusions: Data reinforces the high prevalence of risk for eating disorders in university students, the impact of dieting on FC, and intuitive eating during social isolation.

Abstract Background Eating plays an important role in mental and physical health and is influenced by affective (e.g., emotions, stress) and appetitive (i.e., food craving, hunger) states, among others. Yet, substantial temporal variability and marked individual differences in these relationships have been reported. Exploratory data analytical approaches that account for variability between and within individuals might benefit respective theory development and subsequent confirmatory studies. Methods Across 2 weeks, 115 individuals (83% female) reported on momentary affective states, hunger, and food craving six times a day. Based on these ecological momentary assessment (EMA) data we investigated whether latent class vector-autoregression (LCVAR) can identify different clusters of participants based on similarities in their temporal associations between these states. Results LCVAR allocated participants into three distinct clusters. Within clusters, we found both positive and negative associations between affective states and hunger/food craving, which further varied temporally across lags. Associations between hunger/food craving and subsequent affective states were more pronounced than vice versa. Clusters differed on eating-related traits such as stress-eating and food craving as well as on EMA completion rates. Discussion LCVAR provides novel opportunities to analyse time-series data in affective science and eating behaviour research and uncovers that traditional models of affect-eating relationships might be overly simplistic. Temporal associations differ between subgroups of individuals with specific links to eating-related traits. Moreover, even within subgroups, differences in associations across time and specific affective states can be observed. To account for this high degree of variability, future research and theories should consider individual differences in direction and time lag of associations between affective states and eating behaviour, daytime and specific affective states. In addition to that, methodological implications for EMA research are discussed.

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In this study, it was aimed to reveal the predictive power of demographic characteristics, cognitive flexibility and social appearance anxiety of individuals in emerging adulthood on preoccupation with the thought of eating and loss of control over eating, which are the sub-dimensions of food craving. The design of the research was structured according to the relational screening model. The study group of the research consists of 551 participants, 395 (71.7%) women and 156 (28.3%) men. “Food Cravings Questionnaire-Trait Short Form”, “Cognitive Flexibility Inventory”, “Social Appearance Anxiety Scale” and “Personal Information Form” were used to collect research data. Correlation analysis was used to determine the relationship between food craving, cognitive flexibility and social appearance anxiety. Hierarchical regression analysis was used to determine the predictors of food craving of individuals in emerging adulthood. Considering the dimension of preoccupation with the thought of eating, while the alternatives, one of the sub-dimensions of cognitive flexibility, do not make a specific contribution to the model, the control sub-dimension makes a unique contribution to the model. When the sub-dimension of loss of control over eating is considered, alternatives from the sub-dimensions of cognitive flexibility make a low-level significant contribution to the model, while the sub-dimension of control makes a unique contribution to the model. The research results showed that the sub-dimensions of cognitive flexibility is an important predictor of preoccupation with the thought of eating and loss of control over eating, and similarly, social appearance anxiety is an important predictor of all sub-dimensions of food craving. [ABSTRACT FROM AUTHOR]

Background: Young adults are increasingly exposed to social media and their image/video-based activities. They use these platforms to share images, videos and advice in different fields like food and nutrition with: recipe ideas, nutritional opinions or specific diets. Along with the rise of digital technologies, the prevalence of eating disorders in young adults continues to grow. The present study analyzes the psychological and eating processes through which exposure to social media may lead to the development of food craving and problematic eating behaviors. Methods: A total of 103 young adult men (n = 15) and women (n = 88) answered questionnaires measuring their impulsivity (Barratt Impulsiveness Scale), eating habits (Three-Factor Eating Questionnaire), food craving (Food Cravings Questionnaire-Trait-reduced), and time exposure to social media. Results: The results showed two significant serial mediations. We found a correlational link between time exposure to social media and food craving scores. This positive relation is indirectly mediated by cognitive impulsivity. We also found a positive correlation between cognitive impulsivity and food craving scores that was mediated by cognitive restraint. Conclusion: A better understanding of the existing links between social media, food craving and eating behaviors such as cognitive restraint could help researchers and clinicians to better guide young adults in their use and appropriation of social media food contents. Plain English summary: Young adults are increasingly using social media to share images, videos and opinions on a wide range of areas including food. Young people discuss recipes tips, nutritional opinions or specific diet advice. Online platforms expose young people to a set of contradictory data, often generalist, and non-individualized advice that can create the feeling of being overwhelmed by information. This study aimed to understand the potential impact of this increasingly frequent exposure to social media on eating behaviors of young adults. The results showed that longer exposure times to social media were indirectly linked to an irrepressible urge to eat via increased impulsivity. High impulsivity scores were also indirectly related to food craving via food restriction. A better understanding of the links between social media, food craving and eating behaviors could help researchers and clinicians to better guide young adults in their use and appropriation of social media food contents. By knowing more precisely the processes at work behind exposure to social media, it can become possible to undertake awareness actions in order to prevent the development of subsequent eating issues. [ABSTRACT FROM AUTHOR]

Abstract Background With increasing obese populations worldwide, developing interventions to modulate food-related brain processes and functions is particularly important. Evidence suggests that transcranial direct current stimulation (tDCS) over the dorsolateral prefrontal cortex (DLPFC) may modulate the reward–control balance towards facilitation of cognitive control and possible suppression of reward-related mechanisms that drive food cue-induced craving. This protocol describes a clinical trial that investigates the neurocognitive mechanisms of action for tDCS to modulate food cue-reactivity and cravings in people with obesity. Method The NeuroStim-Obesity trial is a prospective, randomized, sham-controlled, double-blind single-session tDCS trial targeting food craving in those with obesity or overweighed. Once randomized, 64 adults with obesity or overweighed complete one session in which they receive either active or sham tDCS over the DLPFC (anode F4 and cathode F3, 2 mA intensity for 20 min). The primary outcome is change in neural response to the food cue-reactivity task in the ventral striatum after a single-session bilateral tDCS compared to sham stimulation. Secondary outcomes include changes in food craving evaluated by the Food Craving Questionnaire-State (FCQ-S). We will also explore the predictive role of brain structure and functional networks assessed by structural and functional magnetic resonance imaging (MRI) during both task performance and the resting-state that are acquired pre- and post-intervention to predict response to tDCS. Discussion The results will provide novel insight into neuroscience for the efficacy of tDCS and will advance the field towards precision medicine for obesity. Exploratory results will examine the potential predictive biomarkers for tDCS response and eventually provide personalized intervention for the treatment of obesity. Trial registration Iranian Registry of Clinical Trials (IRCT) IRCT20121020011172N4 . Retrospectively registered on 4 June 2020

Accumulating evidence from both cross-sectional and cue-reactivity studies supports the application of the Ambivalence Model of Craving (AMC) from the substance use literature to food craving. The focus of this extant work has been on the association between the two dimensions of food craving (approach and avoidance) and disordered eating behaviors. The present study extended existing validity data by investigating approach and avoidance food craving profiles and their associations with 1) disordered eating behaviors and 2) thinness/restriction and eating expectancies – a risk factor for disordered eating that is explicitly described by the AMC. It was anticipated that food craving profiles would parallel those defined by the AMC (i.e., approach oriented, avoidance oriented, ambivalent, indifferent) and that profiles defined by high avoidance food craving would be higher in compensatory behaviors, restricting behaviors, and thinness/restriction expectancies, while those defined by high approach food craving would be higher in binge eating and eating expectancies. A sample of 407 undergraduate students (54% female, 47% non-Hispanic White; M age = 21 years) reported demographics, food craving disordered eating behaviors, and thinness/restriction and eating expectancies via an anonymous online survey. Latent profile analysis was used to test hypotheses. Hypotheses were partially supported. Four profiles were identified, but similar levels of approach and avoidance food craving were observed in each profile, with the intensity of the cravings increasing across the four profiles. Endorsement of disordered eating behaviors and expectancies also increased in intensity across the profiles. Findings suggest an additive, rather than interactive, effect of food craving. [ABSTRACT FROM AUTHOR]

To examine the effects of depressive mood and cue stimuli on food cravings in online and laboratory experiments, respectively. Experiment 1 examined the relationship between depressive mood and food cravings using a depressive mood induction procedure. Participants read the scenario for the condition before responding to questions about whether they had ever had an experience similar to the scenario and if they could easily visualize it. Each participant then completed a modified version of the Food Craving Inventory for Japanese and Profile of Mood States. Experiment 2 examined the impact of eating a first chip (under mild deprivation conditions) on subsequent cravings for chips. Participants were randomly allocated to either a potato chip (n = 22) or sweet potato chip (n = 23) cue group. In Experiment 1, increases in depressive mood when reading depressive mood-arousing scenarios depended on participants' ability to recall similar scenarios. In the experimental condition (n = 110), feelings of depressive mood increased; in the control condition (n = 113), depressive mood was not aroused. When depressive mood was caused by a depressive mood-arousing scenario, cravings for Western foods occurred. However, no such association was found for sweet foods. In Experiment 2, the dependent variable was performance on the behavioral task and subjective cravings for potato chips. The potato chip cue induced only subjective cravings. Experiment 1 showed that when depressive mood was induced by reading a depressive mood-arousing scenario, cravings for Western foods and rice were generated. Experiment 2 showed that eating a small amount of potato chips triggered a larger craving. The two experiments suggested that many types of drugs related to abuse and control mechanisms are associated with cravings for sweet foods; however, future studies should examine whether similar mechanisms control cravings for foods that are low in sugar. • This study examined the effects of depressive mood and cue stimul on food cravings. • Depressive mood and cravings for Western food and rice were significantly correlated. • The potato chip cue induced subjective cravings. • Eating a small amount of potato chips may trigger a larger craving. • It was found that one bite of such food did not stop the craving. [ABSTRACT FROM AUTHOR]

Theoretically driven smartphone-delivered behavioral interventions that target mechanisms underlying eating behavior are lacking. In this study, we administered a 28-day self-paced smartphone-delivered intervention rooted in an operant conditioning theoretical framework that targets craving-related eating using mindful eating practices. At pre-intervention and 1-month post-intervention, we assessed food cravings among adult overweight or obese women (N = 104; M age = 46.2 ± 14.1 years; M BMI = 31.5 ± 4.5) using ecological momentary assessment via text message (SMS), self-reported eating behavior (e.g., trait food craving), and in-person weight. Seventy-eight participants (75.0%) completed the intervention within 7 months ('all completers'), and of these, 64 completed the intervention within 3 months ('timely completers'). Participants experienced significant reductions in craving-related eating (40.21% reduction; p

Aims: This study’s objective was to verify the level of food cravings and cognitive restraint in women who reported having followed a low-carb diet. Methods: The volunteers filled out the binge eating scale, the cognitive restraint subscale, the food cravings trait and state questionnaires, and the food frequency questionnaire. This study has also compared participants according to the self-reported practice of a low-carb diet. Parametric tests were used to compare the groups and Pearson’s correlations between some variables of interest (p > 0.05 adopted). Results: According to the question regarding the practice of the low-carb diet, 39 participants had tried a low-carb diet in the last six months (46.2% of these with binge eating) and 48 did not (16.7% with binge eating). Dieters showed higher levels of binge eating, cognitive restriction, and food cravings (trait and state). Dieters consumed less rice and bread but did not present lower consumption of sweets. Correlations showed that for dieters who ‘Consciously hold back at meals in order not to gain weight’, it was negatively associated with ‘Intention and plans to eat’, ‘positive reinforcement’ and ‘relieving negative states’ and food cravings scores. Conclusions: Despite the higher levels of cognitive restriction in dieters, they are negatively correlated with food craving factors and negatively associated with the consumption of sweets.

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. [ABSTRACT FROM AUTHOR]

Aim: The aim of the present research was to evaluate the effectiveness of a therapy package for weight control based on Acceptance and Commitment with the Matrix Approach and Transcranial Direct Current Stimulation (tDCS) on Food Craving and Physical Activity in overweight individuals. Methods: The research Design was a quasi-experimental with pretest and posttest and An Active Control group. For this purpose, 40 persons were selected via availability sampling and in regard to include and exclude criteria. The instrument of the study were Baecke's Physical Activity Questionnaire (1982) and Food Craving Questionnaire-Trait of Cepeda-Benito (2000, FCQ-T). The experimental group received the intervention package in 12 online group sessions of 2-hour weekly sessions and 8 individual sessions of tDCS AR/CL stimulation (2Ma for 20 minutes) and the control group received only 8 individual tDCS sessions of AR/CL stimulation (2Ma for 20 minutes). Results: The results of between-within group mixed analysis of variance showed that the combined intervention package of weight control based on Acceptance and Commitment with the Matrix Approach and Transcranial Direct Current Stimulation (tDCS) had a significant effect on physical activity and cravings of overweight people in comparison with tDCS alone. Conclusion: According to the results, it can be concluded that the therapeutic package of the present study can be a good option to increase Physical Activity and reduce Food Craving. [ABSTRACT FROM AUTHOR]

The prefrontal cortex is appreciated as a key neurobiological player in human eating behavior. A special focus is herein dedicated to the dorsolateral prefrontal cortex (DLPFC), which is critically involved in executive function such as cognitive control over eating. Persons with obesity display hypoactivity in this brain area, which is linked to overconsumption and food craving. Contrary to that, higher activity in the DLPFC is associated with successful weight-loss and weight-maintenance. Transcranial direct current stimulation (tDCS) is a non-invasive neurostimulation tool used to enhance self-control and inhibitory control. The number of studies using tDCS to influence eating behavior rapidly increased in the last years. However, the effectiveness of tDCS is still unclear, as studies show mixed results and individual differences were shown to be an important factor in the effectiveness of non-invasive brain stimulation. Here, we describe the current state of research of human studies using tDCS to influence food intake, food craving, subjective feeling of hunger and body weight. Excitatory stimulation of the right DLPFC seems most promising to reduce food cravings to highly palatable food, while other studies provide evidence that stimulating the left DLPFC shows promising effects on weight loss and weight maintenance, especially in multisession approaches. Overall, the reported findings are heterogeneous pointing to large interindividual differences in tDCS responsiveness. [ABSTRACT FROM AUTHOR]

Obesity represents one of the wellness diseases concurring to increase the incidence of diabetes, cardiovascular diseases, and cancer. One of the main perpetuating factors of obesity is food craving, which is characterized by an urgent desire to eat a large and various amount of food, regardless of calories requirement or satiety signals, and it might be addressed to the alteration of the dorsolateral prefrontal cortex (DLPFC) activity. Despite most of the gold-standard therapies focus on symptom treatment only, non-invasive brain stimulation techniques such as transcranial direct current stimulation (tDCS) could help treat overeating by modulating specific neural pathways. The current systematic review was conducted to identify whether convergent evidence supporting the usefulness of tDCS to deal with food craving are present in the literature. The review was conducted by searching articles published up to January 1st 2022 on MEDLINE, Scopus and PsycInfo databases. We included studies investigating the effects of tDCS on food craving in subjects affected by overweight and obesity. According to eligibility criteria, 5 articles were included. Results showed that tDCS targeting left DLPFC with unipolar montage induced ameliorating effects on food craving. Controversial results were shown for the other studies, that might be ascribable to the use of bipolar montage, and the choice of other target areas. Further investigations including expectancy effect control, larger sample sizes and follow-up are needed to support more robust conclusions. To conclude, tDCS combined with the use of psychoeducative intervention, diet and physical activity, might represents a potential to manage food craving in individuals with overweight and obesity. [ABSTRACT FROM AUTHOR]

Visceral adiposity is a significant marker of all-cause mortality. Reproductive age women are at a considerable risk for developing visceral adiposity; however, the associated factors are poorly understood. The proposed study evaluated whether food craving experienced during the premenstrual period is associated with waist circumference. Forty-six women (mean BMI = 24.36) prospectively provided daily ratings of food craving across two-three menstrual cycles (122 cycles total). Their premenstrual rating of food craving was contrasted against food craving in the follicular phase to derive a corrected summary score of the premenstrual food craving increase. Study groups were divided into normal (n = 26) and obese (n = 20) based on the 80 cm waist circumference cutoff signifying an increase in risk. Waist circumference category was significantly associated with premenstrual food cravings [ F (1,44) = 5.12, p = 0.028]. Post hoc comparisons using the Tukey HSD test (95% family-wise confidence level) showed that the mean score for the food craving effect size was 0.35 higher for the abdominally obese vs. normal study groups (95% CI: 0.039 to 0.67). The result was statistically significant even following inclusion of BMI in the model, pointing to a particularly dangerous process of central fat accumulation. The present study establishes an association between temporal vulnerability to an increased food-related behavior and a marker of metabolic abnormality risk (i.e., waist circumference), thereby forming a basis for integrating the premenstruum as a viable intervention target for this at-risk sex and age group. [ABSTRACT FROM AUTHOR]

Background: Eating plays an important role in mental and physical health and is influenced by affective (e.g., emotions, stress) and appetitive (i.e., food craving, hunger) states, among others. Yet, substantial temporal variability and marked individual differences in these relationships have been reported. Exploratory data analytical approaches that account for variability between and within individuals might benefit respective theory development and subsequent confirmatory studies. Methods: Across 2 weeks, 115 individuals (83% female) reported on momentary affective states, hunger, and food craving six times a day. Based on these ecological momentary assessment (EMA) data we investigated whether latent class vector-autoregression (LCVAR) can identify different clusters of participants based on similarities in their temporal associations between these states. Results: LCVAR allocated participants into three distinct clusters. Within clusters, we found both positive and negative associations between affective states and hunger/food craving, which further varied temporally across lags. Associations between hunger/food craving and subsequent affective states were more pronounced than vice versa. Clusters differed on eating-related traits such as stress-eating and food craving as well as on EMA completion rates. Discussion: LCVAR provides novel opportunities to analyse time-series data in affective science and eating behaviour research and uncovers that traditional models of affect-eating relationships might be overly simplistic. Temporal associations differ between subgroups of individuals with specific links to eating-related traits. Moreover, even within subgroups, differences in associations across time and specific affective states can be observed. To account for this high degree of variability, future research and theories should consider individual differences in direction and time lag of associations between affective states and eating behaviour, daytime and specific affective states. In addition to that, methodological implications for EMA research are discussed. [ABSTRACT FROM AUTHOR]

Background: Based on existing evidence, depression may be related to certain food cravings. Since there were few studies in Iran in this regard, present survey performed to evaluate the relationship between depression and food craving. Materials and methods: The study was cross-sectional and participants were 100 female students of Ahvaz University of Medical Sciences in the year 2013 that were entered into the study by random sampling method. Depression was assessed by Beck Depression Inventory (BDI) questionnaire and food craving was evaluated by Food Craving Inventory (FCI-Persian). Methods for statistical analysis include Pearson and Spearman correlation coefficients. The statistical analysis was conducted using SPSS software. Results: The statistical significant correlation was not found between depression and food craving. However, depression had a significant positive correlation with jelly craving (r=0.272 and P=0.006) and significant inverse correlation with pickle craving. The correlation between food craving and BMI was not statistically significant. However, the mean BMI was associated with the cocoa chocolate craving (r=-0.288, P=0.004). Additionally, significant association was found between the days’ number after the start of menstruation and food craving to some items such as red meat, pasta and rice. Conclusion: It seems that the recommendation to consume foods with low carbohydrate and calorie content along with psychotherapy strategies to alleviate depression can maintain health in female students. In addition, pre-menstrual food cravings may be a physiological response of the body to supply of nutrients that play a role in relieving the physical and psychological symptoms of premenstrual syndrome.

Imaginal retraining (IR) is an emerging intervention technique in which people imagine avoidance behaviors towards imagined foods or other substances, such as throwing them away. Although IR shows promise in reducing initial craving for a range of substances, including alcohol and tobacco, effects appear less robust for craving for energy-dense foods. This raises the question of how IR for food craving can be improved. Here, we address this question informed by emerging findings from IR dismantling studies and the field of regular cognitive bias modification training paradigms. Based on current insights, we suggest the most optimal 'craving-reduction' effects for energy-dense food can likely be expected for IR that includes an overt motor movement. While it is not yet clear what movement works best for food, we suggest a tailored movement or Go/No-Go-based stop movement has the potential to be most effective. The most likely mechanism in reducing craving is cue-devaluation of trained vivid craving images regarding specific energy-dense food products. Future work is needed that investigates and assess the underlying mechanisms (e.g., updating beliefs; cue-devaluation), task characteristics (e.g., IR instructions; specific motor movements) and individual characteristics (e.g., perceived craving; vividness of food imagination) that determine IR effects. [ABSTRACT FROM AUTHOR]