Appetite

Background: Over half of UK adults eat food prepared out-of-home (OOH) weekly and the poor nutritional profile of OOH food contributes to ill health. Nutri-Score is a form of interpretative labelling which assigns food products a value of A (healthiest) to E (least healthy) based on nutritional quality, and inclusion on menus could be a public health policy option to reduce obesity. This is the first real-world Randomised Control Trial to test the effectiveness of Nutri-Score alongside calorie labelling on food menus in UK OOH settings. Methods: Adult participants (N=672), majority White (80%) female (63%), with a mean age of 47(SD18) years, were recruited from the local community to visit OOH food businesses to order, consume, and pay for meals. Data collection days were randomised to be control (calorie labelling) or Nutri-Score (calorie labelling with Nutri-Score). Linear mixed models assessed impacts of labelling condition on perceived effectiveness of menu labelling and nutritional quality of food orders. Findings: Scores for perceived effectiveness of labelling were significantly greater in the Nutri-Score condition compared to control (B = 0.21, p=0.010; 95% CI 0.05, 0.37) and food orders were significantly better nutritional quality, indicated by lower Nutrient Profiling Model scores in the Nutri-Score vs. control condition (B = -0.89, p=0.003; 95% CI -1.48, -0.31). Interpretation: Compared to providing calorie labelling alone, inclusion of Nutri-Score could be an effective policy approach to improve nutritional quality of diet and reduce diet-related disease.

Resolving the inner conflict between improving eating habits (change talk) and sticking to unhealthy ones (sustain talk) is a key target in communication-based behavioral change interventions such as motivational interviewing (MI). Recent work has shown that this inner conflict affects how tastiness and healthiness are traded off in dietary decision-making. The effect varied with body mass index (BMI). Here we aimed to identify why participants with higher BMI shifted toward healthier food choices after listening to change talk. An evidence accumulation model found that BMI affected health evidence sampling when listening to change talk, and taste evidence sampling when listening to sustain talk. A serial mediation analysis showed that the effect of BMI on change-talk-induced health evidence sampling was explained by stronger resting-state connectivity in the ventromedial prefrontal cortex within the default mode network (DMN), which in turn predicted greater motivation to change eating habits. These cross-sectional findings indicate that the intrinsic functional organization of valuation-related regions within the DMN is associated with motivation to change. They provide evidence that these neural and behavioral factors need to align with contextual cues, such as weight status (as reflected by BMI), and with reasons for behavioral change to promote healthier decision-making.

Objective: Circadian rhythms are frequently disrupted in patients in the intensive care unit (ICU), potentially worsening clinical outcomes. Continuous enteral nutrition throughout the day and night is common in the ICU, but eliminates feeding-fasting cycles that serve as important timing cues for the circadian system. The objective of this study was to determine the effect of providing enteral nutrition in a cyclic daytime pattern, compared with continuous administration, on circadian rhythmicity in critically ill patients in the ICU. Design: Single-center randomized controlled trial Setting: Mixed medical-surgical tertiary intensive care unit in the Netherlands Patients: Adult ICU patients ([≥]18 yr) receiving enteral nutrition. Intervention: Patients were randomized to receive either continuous, or cyclic daytime enteral feeding (08:00-20:00), initiated from the start of nutritional support. Measurements and Main Results: Sixty-two ICU patients were enrolled, of whom 51 were included in the per-protocol analysis. While the amplitude of the 24-hour rhythm in core body temperature did not differ significantly between the cyclic daytime and continuous feeding groups (0.17 [interquartile range: 0.09-0.24] vs. 0.20 [0.13-0.30], p=0.182), the 24-hour rhythm in heart rate was enhanced in patients receiving cyclic daytime feeding, as reflected by significantly higher amplitudes and more synchronized peak times. No significant differences in 24-hour rhythmicity were observed between groups for the other vital signs or melatonin. Conclusions: Our findings suggest that cyclic daytime feeding may strengthen circadian rhythms in critically ill patients. Further studies are warranted to evaluate its impact on clinical outcomes.

Background: Vision-language models (VLMs) are being considered for estimating energy intake from meal photographs. Prompt descriptions such as a Japanese-dietitian persona shift the estimates, suggesting their use for calibration; what the estimates rest on was unknown. Objective: We examined whether prompt descriptions can serve as calibration, at which training stage responses to a nationality persona and to an amount instruction arise, and whether estimates follow the visible amount or one associated with the identified dish. Methods: Eleven commercial and 15 open-weight models were evaluated on NutriImage (887 Japanese single-dish photographs) and SNAPMe (1,134 US meal photographs) under eight prompt conditions (no description, five personas, and smaller- or larger-portion instructions). With one model, images were cropped or replaced by the dish name. Before- and after-meal photographs of 804 meals (ACETADA) were estimated. Pre-trained and post-trained weights of Gemma 3 and InternVL3.5 8B were compared by likelihood scoring. Prompts were compared with numerical calibration. Results: Where the dish was named as in the full image, a 25% crop changed neither the median absolute percentage error (MedAPE; 33.8% vs 34.4%) nor the persona shift (-20 vs -20 kcal); dish names alone gave similar accuracy (MedAPE 31.7%); nearly empty trays still received 39%-75% of the before-meal estimate, often described as already eaten. Between models, the persona shift was related to baseline bias (r = -0.77) and less to instruction following (r = -0.36); the instruction shift showed the reverse (r = -0.14 and -0.95). In Gemma 3, the Japan-US contrast was 2-4 times larger before post-training, and the instruction response 2-4 times larger after it (InternVL3.5 8B: 3 and 1.4 times). Across images, the Japan-US contrast was uniform on US meals and, for Japanese dishes in the commercial models, Gemma 3, and Qwen3-VL 32B, larger where overestimated. In these models, the persona lowered MedAPE for Japanese dishes as much as, or slightly more than, subtracting the mean bias, and no more than dividing by a ratio; on US meals it did not; in open-weight families that responded little, only numerical calibration lowered error. The smaller-portion instruction raised MedAPE in models with little bias (eg, 30.0% to 50.2%). Conclusions: In the model examined most closely, the estimates behaved as if anchored on an amount associated with the identified dish and only partly corrected by the visible amount. Prompt descriptions moved them by amounts depending on model and cuisine, not on the correction needed; a persona is therefore not proposed as a general means of calibration. In a facility, the findings suggest showing the identified dish for correction, calibrating by a ratio measured on reference meals with the deployed model, keeping amount statements out of the prompt, and not deriving intake from before-after-meal differences.

The satiety cascade includes post-prandial increases in plasma glucose and insulin, and changes in appetitive gut hormones, including decreases in orexigenic stomach-derived ghrelin, and increases in liver-foregut-derived LEAP2 hormone, a ghrelin antagonist. However, which contribute to post-prandial attenuation of eating behaviour with increasing preload meal size is unclear. In a randomised, single-blinded study, adults without obesity attended four visits, consuming 750mL liquid preloads 0, 600, 900, 1200 kcal, with assay of plasma glucose, acyl ghrelin (AG), LEAP2 and serum insulin over 0-3h with appetite ratings (n=17, 65 visits). At 2h a virtual portion size creation task measured desired food intake (n=15, 58 visits, after data exclusion), and at 3h an ad libitum meal measured actual food intake (n=11, 43 visits). The greater the pre-load meal size, the greater the post-prandial increase in plasma glucose and serum insulin, and greater the decrease in plasma AG and AG/LEAP2 ratio, associated with greater attenuation of eating behaviour (appetite ratings, desired/actual food intake). The strongest correlations of eating behaviour with blood measures were for serum insulin, plasma AG and AG/LEAP2 ratio, with weaker results for plasma glucose. Although there was a weak correlation of post-prandial plasma LEAP2 with pre-load meal size but not with eating behaviour. Post-prandial increases in serum insulin and decreases in plasma AG and AG/LEAP2 ratio appear part of the satiety cascade related to preload meal size in adults without obesity. Future studies should investigate potential mediation of satiety in this context via other appetitive gut hormones, and in obesity.

Objective: Observational studies have provided evidence for positive associations between inflammatory dietary patterns (IDP) and mental health, which might be mediated by immune activation. However, a causal relationship has not yet been established. Here we aim to investigate the causal nature of associations between IDP and mental health traits (depressed affect, mood swings, neuroticism, feed-up feelings, worry, irritability) using Mendelian Randomization (MR) analyses. Method: In the UK Biobank dataset, IDP was identified by conducting a partial least squares regression (PLSR) on the items of the food frequency questionnaire along with three inflammatory biomarkers as response variables: C-reactive protein, platelets, and white blood cell (WBC) counts. An individual-level genome-wide association study (GWAS) of IDP was performed within an unrelated European subsample from the UK Biobank (n=320,137) and summary-level GWAS data for mental health traits were utilized for bi-directional two-step MR to test the association between genetically predicted IDP and mental health traits. Result: The first PLSR component was retained for subsequent analysis, with a higher IDP score indicating a more frequent consumption of processed meat, beef, pork, lamb/mutton, and poultry. Genome-wide association analysis identified 101 independent genomic loci. MR analyses indicated a uni-directional positive relationship from IDP to neuroticism and a positive bi-directional relationships between IDP and depressed affect, mood swings, fed-up feelings, and irritability. The mediation effect of total white blood cell count on neuroticism score was also significant (adjusted P<0.05). Conclusion: Our findings identified genetic loci and functional properties of IDP and provided evidence for causal pathways with depressed affect, mood swings, irritability, and fed-up feelings. Implementing dietary advice and interventions should become part of a public mental health approach. Keywords: Inflammatory dietary pattern; Partial least squares regression; Genome-wide association study; Mendelian Randomization; Mental health.

Background: (Poly)phenol intake is associated with improved cognitive function in adults, with emerging evidence suggesting benefits in children. However, the role of prenatal (poly)phenol exposures in cognitive development remains a gap in early-life nutrition research. Objective: This analysis of a longitudinal cohort tested the associations between prenatal (poly)phenol intakes and cognitive outcomes in school-age children at age 5 and 8 years. Methods: Participants included mother-child pairs enrolled in a prospective, longitudinal study during pregnancy and completed 5- and 8-year follow-up visits (N = 129). 3-day food records were used to estimate prenatal and child intakes of energy and 18 (poly)phenol subclasses using a database developed from Phenol-Explorer (v3.6). The analytical sample included children (N = 111) with completed assessments for academic achievement, language skills, and intelligence quotient (IQ) scores (Mean = 100, SD = 15). Regression models estimated associations between (poly)phenol intakes and cognitive outcomes, adjusted for breastfeeding duration, maternal IQ, pre-pregnancy BMI, gestational age, and infant sex. Results: Average prenatal total (poly)phenol intake was 716 mg/d. Prenatal (poly)phenol intakes were not associated with child academic achievement scores. Higher prenatal flavone intakes were associated with higher language ({beta}: 4.36, p = 0.045) and IQ ({beta}: 9.43, p = 0.002) scores. Higher flavonol ({beta}: -4.67, p = 0.022) or hydroxybenzoic acid intakes ({beta}: -3.88, p = 0.026) were associated with lower language scores. Major sources of flavones and lignans included coffee, orange juice, and herbal tea. Coffee, cranberry, black tea, okra, and tomato sauce provided flavonols and hydroxybenzoic acids. Conclusions: Associations between prenatal (poly)phenol intake and child cognitive outcomes were mixed and differed by subclass. Further investigation is needed to explore the role of co-occurring nutrients and other dietary components. These findings suggest that (poly)phenol subclasses derived from healthier plant-based foods, including citrus fruit and herbal tea, may associate with improved child cognitive outcomes.

The post-ingestive dopamine response is an integral determinant of subsequent eating behavior in animals yet measurement of the post-ingestive response to nutrients in humans has been elusive when assessed in the early post-ingestive period (30 minutes postprandially). We conducted secondary analysis comparing dopamine D2 receptor binding potential (D2BP) measured using [18F]fallypride positron emission tomography in two inpatient controlled feeding cohorts consuming standardized diet (50% carbohydrate; 35% fat; 15% protein) with similar characteristics and procedures but differing in time since last meal: confirmed overnight fast (n=57; 66.7% female; BMI 29.6{+/-}7.6 kg/m2; 31.9{+/-}7.2 years old) and 2-hours after a standardized meal reflecting 20% of energy requirements (n=43; 48.8% female; BMI 28.8{+/-}7.8 kg/m2, 31.3{+/-}7.7 years old). Compared to the fasted cohort, the 2-hour postprandial cohort exhibited significantly reduced whole striatal D2BP (p<0.0001) as well as in clusters in insular cortex, prefrontal cortex which remained after adjustment for age, sex, and insulin sensitivity. Voxelwise comparisons of the relationship between D2BP and BMI in the fasted and fed cohorts reveals clusters within dorsolateral and ventral striatum where dopamine level is dependent on postprandial state and adiposity. Given the similarities between protocol procedures and participant characteristics, our results suggest that the post-ingestive dopamine response to nutrients may be prominent in the extended post-ingestive period and warrant investigation within-subject.

The prevalence of obesity is increasing worldwide, especially amongst younger populations. As both brain and body are still under development, numerous studies have shown that adolescence is an especially sensitive period for the impact of external insults including unbalanced diets. To better understand and prevent the vulnerability to obesity and maladaptive food choice, it is crucial to explore the long-term impact of adolescent exposure to obesogenic diets on different feeding behaviours. To address this, we gave mice access to an obesogenic diet with a very high-fat content (vHFD) specifically during adolescence and investigated the long-lasting impact on feeding at adulthood months after a switch to a healthy diet. Using specific feeding tests, we found that both males and females vHFD-exposed mice exhibited an increased intake of both standard food and palatable high-fat foods, without impacting preference for non-caloric food rewards. Importantly, these sex-dependent alterations are not fully correlated with diet-induced weight gain but may support long-term vulnerability to overeating and the development or maintenance of obesity.

Circadian feeding rhythmicity reflects the distribution of feed intake across the daily 24-hour cycle. Regular feeding-fasting cycles play an important role in regulating metabolism and maintaining health, but endogenous and environmental factors can disrupt the normal circadian pattern of feed intake. Here, we quantified hourly feed intake in 3,470 Swiss Landrace and 15,181 Swiss Large White pigs using 40.5 million records from automated feeding systems. We used the proportion of days exhibiting a significant feeding rhythm after wavelet analysis to investigate variation in circadian feeding organization. Circadian feeding rhythmicity was influenced by sex and age, with higher rhythmicity observed in females and older animals. Variance components analysis revealed a strong additive genetic contribution and a high heritability (0.53-0.57). Pigs with higher circadian feeding rhythmicity had reduced nocturnal intake, improved feed conversion ratio, and lower day-to-day variability in feed intake, suggesting improved feed efficiency and resilience. Genome-wide association testing of 15.7 and 23.1 million imputed sequence variants identified a QTL on chromosome 4 explaining 5.3% and 2.9% of the phenotypic variance of circadian feeding rhythmicity in Swiss Landrace and Swiss Large White pigs, respectively. The QTL overlaps OPRK1 and NPBWR1, two genes implicated in the regulation of feeding behavior, reward and energy homeostasis. Collectively, our findings establish circadian feeding behavior as a heritable trait in pigs and provide a basis to further investigate the genetic regulation of feeding rhythms in mammals and explore its use in animal breeding programs to improve feed efficiency and resilience.

Background: Added sugars during early development may influence adiposity, but whether associations vary by developmental timing and child sex is unclear. Objectives: To determine whether child sex modifies associations of added sugars and fructose exposure from pregnancy through 24 months with body composition at 24 months. Methods: This secondary longitudinal analysis included 130 mother-child dyads. Maternal diet was assessed during mid-pregnancy and child diet at 2wk and 6mo (infancy), and 12mo and 24mo (toddlerhood). Multivariable regression tested sex-by-exposure interactions for anthropometric outcomes; 42 children had usable dual-energy X-ray absorptiometry (DXA) data. Results: Prenatal added sugars were more positively associated with percentage body fat and total and regional fat mass in girls than in boys. Prenatal fructose was more positively associated with waist circumference in boys. During infancy, added sugars were more positively associated with percentage body fat and total and regional fat mass in boys, whereas fructose was more positively associated with fat-free mass in girls. Conclusions: Associations of early-life sugars exposure with body composition varied by developmental timing and child sex. Findings from the smaller DXA subset are exploratory and require replication but suggest that susceptibility to early dietary sugars may differ across developmental windows.

Appetite is shaped not only by physiological need but by the sensory experience of eating and its social context. Can watching food being eaten itself induce satiety, and does it matter who is seen eating? In a functional MRI study (N = 41), participants watched videos of a wanted snack being eaten from their own perspective (self) or, using identical footage shown vertically inverted, as another's (other), holding food identity and visual content constant so that only the attributed agent varied. Observed eating reduced wanting, but not liking, for the eaten foods, whether one's own or another's; crucially, reported fullness increased only when the eating was seen as one's own. In the brain, food-value regions responded to watching eating in both conditions, a shared signal that strengthened over time. Yet only self-attributed eating engaged a self-specific, value-related response in the ventral striatum and medial prefrontal cortex, and orbitofrontal activity during self-eating scaled with each person's reported satiety, whereas watching another eat instead engaged the temporoparietal mentalizing network without a comparable rise in fullness. A large online survey (N = 1,000; ages 15-97) reproduced the behavioral effect across the adult lifespan, and a real-eating experiment reproduced its sensory-specific pattern. Watching eating, and whose eating it is, can thus recalibrate appetite through separate food-value and social-cognitive routes. This "observational satiety" offers a non-invasive route to study food wanting, of potential relevance to social eating and to today's food-media environments.

Objective: To examine changes in the neural valuation of high- versus low-calorie stimuli following bariatric surgery and determine whether these changes relate to weight loss at 24 months. Methods: Adults undergoing bariatric surgery completed fMRI scans before surgery and at 4, 12 and 24 months post-surgery while performing the Becker-DeGroot-Marschak auction task to assess willingness-to-pay (WTP) for food stimuli. Linear mixed-effect models tested longitudinal changes in WTP-related blood oxygen level-dependent (BOLD) associations and their interactions with total weight loss at 24 months. Results: WTP for high-calorie foods decreased significantly after surgery, whereas valuation of low-calorie foods remained stable. At 4 months, WTP-BOLD associations for high- versus low-calorie stimuli were enhanced within the frontoparietal control network and right lateral orbitofrontal cortex relative to pre-surgery. These early postoperative changes did not correlate with 24-month weight loss. Instead, greater 24-month weight loss correlated with both pre-surgical and long-term changes (24 months versus pre-surgery) in WTP-BOLD associations within the precuneus, inferior parietal cortex and visual cortex. Conclusion: Bariatric surgery induces early reductions in the valuation of high-calorie foods, potentially through enhanced cognitive control and aversive processing. However, long-term weight-loss success appears more strongly related to trait-like neural differences in self-referential and attentional processing.

Background/Objectives: Childhood appetitive traits are heritable behavioural phenotypes hypothesized to link genetic susceptibility to obesity risk. Yet their genetic architecture and role in mediating polygenic adiposity risk remain poorly understood. Methods: We conducted the largest survey of childhood eating behaviour to date, allowing us to perform genome-wide association studies of six appetitive domains derived from 18 items of the parent-reported Children's Eating Behaviour Questionnaire in up to 31,018 eight-year-old children from the Norwegian Mother, Father and Child Cohort Study (MoBa). A trio-based design enabled decomposition of direct and indirect genetic effects on appetite and BMI. Results: We identified ten independent genome-wide significant loci for childhood eating behaviour, primarily across Food Responsiveness, Satiety Responsiveness, and Food Fussiness, eight of which lie at established childhood or adult BMI loci. Food Responsiveness and Satiety Responsiveness showed both phenotypic and genetic correlations with BMI trajectories from early childhood through adolescence. Statistical mediation analyses indicated that 22.1% and 10.4% of the aggregated genetic association with BMI at age 8 could be decomposed through these traits, respectively. Locus-specific patterns further suggested mechanistic pathways, with the FTO locus acting predominantly via Food Responsiveness, and the ADCY3 locus via Satiety Responsiveness. Trio analyses demonstrated that both BMI and eating behaviour associations were predominantly explained by children's inherited alleles, with minimal contribution from indirect effect from parental adiposity, although parental genetic liability influenced reporting of Satiety Responsiveness. Conclusions: Childhood appetitive traits capture a substantial proportion of genetic susceptibility to adiposity through distinct eating behaviour pathways (under standard mediation assumptions). These effects are primarily driven by the child's own genotype rather than indirect parental influences, positioning appetite as a plausible, biologically grounded target for early obesity prevention.

Animals defend protein intake strongly, yet how protein status shapes moment-to-moment reward signalling in mesolimbic circuits remains unclear. Here, we examined how dietary protein restriction shapes nucleus accumbens (NAc) core dopamine signalling during operant feeding in the home-cage. C57BL/6 mice expressing the GRABDA sensor in NAc core performed 1 h fixed-ratio 1 (FR1) and progressive ratio (ProgRatio) sessions to earn grain or sucrose pellets across three dietary phases; an initial non-restricted phase (NR1), a protein-restricted phase (PR), and a return to the non-restricted diet (NR2). Home-cage food intake remained stable across phases, whereas bodyweight gain was markedly reduced during PR and partially recovered in NR2. Behaviourally, operant responding increased during PR under both FR1 and ProgRatio schedules, with the most robust enhancement observed for grain pellets. Fibre photometry revealed a more selective neural effect. During FR1, pellet delivery evoked a larger NAc dopamine response for grain than for sucrose specifically during PR, whereas no pellet-type difference was detected during NR1 or NR2. By contrast, under progressive ratio, dopamine responses at pellet delivery and pellet retrieval did not differ between pellet types in any dietary phase. Together, these findings show that protein restriction does not globally amplify reward-related behaviour or dopamine signalling, but instead selectively biases NAc dopamine encoding in a manner that depends on nutritional status of the animal, nutrient context, and task demands.

Purpose: In high-income countries, lower socioeconomic position (SEP) is linked to higher childhood obesity prevalence but its association with cardiometabolic risk in those presenting in pediatric weight management services remain underexplored. Methods: In the Bern Obesity in Childhood and Adolescence Biorepository (BOCAB), we used the Swiss neighborhood index of SEP (0-100, 100=highest SEP) to assess cross-sectional associations with obesity severity and cardiometabolic risk factors, mediation by behavioral lifestyle factors and longitudinal associations between SEP and percentage of the 95th BMI percentile (%BMIp95) and waist circumference-to-height ratio (WHtR), adjusted for age and sex. Results: Among 886 participants (52% male, mean age 11.2 years [SD 3.1]), mean %BMIp95 was 124% (SD 17%). A 10-unit higher SEP was associated with lower %BMIp95 ({beta} -2.57; 95% CI -3.84 to -1.31) and lower WHtR ({beta} -0.006; -0.010 to -0.001), both partially mediated by weekly physical activity and screen time. Higher SEP was also associated with lower odds of insulin resistance (OR 0.80; 0.65 to 0.98), low HDL-cholesterol (OR 0.81; 0.67 to 0.98), elevated non-HDL-cholesterol (OR 0.74; 0.59 to 0.92) and elevated triglycerides (OR 0.83; 0.70 to 0.98). Among 419 participants with longitudinal data, annual reduction in %BMIp95 and WHtR did not differ by SEP. Conclusion: Lower SEP is associated with greater obesity severity and cardiometabolic risk among children and adolescents with obesity presenting at specialized tertiary care. Screening and early referral of lower-SEP children and adolescents with obesity should be encouraged, before cardiometabolic risk accumulates, particularly since treatment response did not differ once enrolled.

Obesity and metabolic diseases such as diabetes reflect long-term interactions between diet, lifestyle, and genetics, variables that are hard to control in humans but can be systematically varied in mice, though behavioral variables like long-term exercise remain harder to model. Having previously phenotyped ~50 BXD strains, we identified BXD40, BXD43, and BXD100 as predisposed to voluntary wheel-running (~6 km/day at 24 weeks) with variable susceptibility to diet-induced obesity and diabetes. We followed these strains from 8-32 weeks on a 60% kcal/fat high-fat (HF) diet, with or without access to running wheels. Wheel usage declined from ~9 km/day in the first two weeks to a steady ~5 km/day thereafter yet still improved oral glucose tolerance by 35% over sedentary controls by 24 weeks. Despite equivalent body weight, runners ate 20% more relative to body weight, indicating the glucose benefit was independent of caloric intake. We next asked whether the gut microbiome contributes to this benefit. Long-term exercise produced only modest, cohort-dependent shifts in cecal microbial composition, though functional profiling revealed exercise-associated differences in carbohydrate- and glucose-metabolism pathways. Reciprocal bedding exchange between sedentary and running BXD43 cages reduced microbial differentiation in a taxon-specific manner and coincided with marked attenuation of the glucose phenotype, despite unchanged running behavior. Together, these findings validate BXD40, BXD43, and BXD100, alongside the canonical C57BL/6, as a model for studying diet, exercise, and genetics in metabolic disease, and implicate gut microbial taxa in shaping exercise's metabolic effects during HF feeding.

Background: University life can influence food choice even among physically active students. This study examined nutritional awareness, emotional, external, and restrained eating, body mass index (BMI), and estimated resting metabolic rate (RMR) in physical education students, and assessed differences by sex and academic level. Methods: A descriptive, analytical and correlational design was used. The sample included 160 physical education students (95 women and 65 men; mean age 20.42 {+/-} 1.53 years) from An-Najah National University. Nutritional awareness was assessed with a 15-item scale, and eating behaviour with the 33-item Dutch Eating Behavior Questionnaire. BMI was calculated from measured height and body mass, and RMR was estimated using an equation developed for athletes. Correlations, group comparisons, robust interaction models, and hierarchical regression were applied. Results: Nutritional awareness was high (3.73 {+/-} 0.81), whereas emotional (3.11 {+/-} 1.18), external (3.20 {+/-} 0.95), and restrained eating (3.25 {+/-} 1.11) were moderate. Higher awareness was associated with less emotional (r = -0.617) and external eating (r = -0.652), but greater restrained eating (r = 0.644; all q < 0.001). These associations remained after adjustment. Men reported more external eating, while women reported more restrained eating. Eating patterns also varied by academic level. BMI and estimated RMR showed weaker and less consistent associations with eating behaviour. Conclusions: Nutritional awareness was closely associated with reported eating behaviour, whereas BMI and estimated RMR were less informative. Sex and academic-level differences suggest that nutrition education for physical education students may be more useful when adapted to specific behavioural patterns. The findings represent associations and group differences and do not establish causal relationships. Keywords: physical education students; nutritional awareness; eating behaviour; emotional eating; external eating; restrained eating; body mass index; resting metabolic rate

Importance: Food and non-alcoholic beverage marketing drives children's dietary intake, yet updated evidence quantifying effects by marketing medium and sociodemographic factors is needed to inform policy. Objective: To quantify the effect of food marketing on dietary intake among children and adolescents (0-19 years) and examine variations by age, sex, socioeconomic position (SEP), weight status, marketing medium, and exposure duration. Data Sources: Nineteen electronic databases were searched for articles published from April 2020 to February 2026, complemented by World Health Organization-commissioned reviews covering 1970 to March 2020. Study Selection: Two reviewers independently selected peer-reviewed primary studies that assessed the association between food marketing and dietary intake, following PRISMA guidelines, with no language restrictions. Data Extraction and Synthesis: Two reviewers independently extracted data and assessed the risk of bias. Random-effects meta-analyses were conducted. The certainty of evidence was assessed using GRADE. Main Outcomes and Measures: Dietary intake (energy, quantity, or number of items consumed). Results: A total of 55 studies (N = 6,877; range 2-18 years) were included. Food marketing was associated with higher dietary intake (mean difference [MD], 34.8 kcal; 95% CI, 20.2-49.4) compared with no or less marketing. Unhealthy marketing via television (20 studies; MD, 44.5 kcal; 95% CI, 11.2-77.8), digital media (11 studies; MD, 37.5 kcal; 95% CI, 20.1-54.9), and packaging (11 studies; MD, 20.5 kcal; 95% CI, 0.7-40.3) all increased intake; the difference across media was significant (p < .001). Higher intake was observed in males (3 studies; MD, 51.9 kcal; 95% CI, 45.4-58.3) but not in females (MD, -6.8 kcal; 95% CI, -60.3-46.6); difference was not significant (p = .082). Differences by weight status (p = .012) were seen (5 studies; normal weight: MD, 55.6 kcal; 95% CI, -51.3-162.5; overweight/obese: 146.9 kcal; 95% CI, 34.1-259.7). Effects varied by age (p = .003) and by digital media exposure duration (p = .044). One study examined ethnicity; none studied SEP. Conclusions and Relevance: Food marketing is associated with increased dietary intake, with low certainty of evidence. Variations were observed across age, sex, weight status, and marketing medium. Further research is needed for adolescents and the role of SEP.

Abstract Aim: Examine cross-sectional associations between mid-pregnancy food intake indicators and prenatal depressive symptomatology. Methods: This secondary analysis of the Comparison of Two Screening Strategies for Gestational Diabetes trial (N = 718) examined domains of mid-pregnancy food intake (direct timing, energy timing, meal/snack structure, meal energy distribution, diet quality) derived from 24-hour dietary recalls. Depressive symptoms were measured with the Edinburgh Postnatal Depression Scale (EPDS). Generalized linear models examined associations between food intake indicators, total, and high (EPDS [&ge;]13) depressive symptoms. Results: Mean (SD) EPDS score was [6.3 (4.9)]; 12.4% (n = 89) had high depressive symptoms. Eating frequency (B = 0.08 [0.02, 0.14], p = 0.009), snack frequency (B = 0.06 [0.00, 0.12], p = 0.040), nighttime snacking frequency (B = 0.06 [0.00, 0.11], p = 0.041), and total daily energy intake (B = 0.06 [0.01, 0.12], p = 0.031) were positively associated with total depressive symptoms. Energy intake from breakfast (PR = 1.2 [1.0, 1.3], p = 0.017) was associated with a higher prevalence of high depressive symptoms. Energy intake from dinner (PR = 0.81 [0.69, 0.94], p = 0.007), later timing of the first eating episode (PR = 0.83 [0.70, 0.99], p = 0.034) and first energy quartile (PR = 0.84 [0.70, 1.0], p = 0.048), were associated with a lower prevalence of high depressive symptoms. Conclusion: These findings extend prior chrononutrition-depression literature to the prenatal period, implicating eating frequency, energy intake, and meal energy timing and distribution in depressive symptomatology during pregnancy, warranting further longitudinal investigation.