Search Results (199)

Healthy food service guidelines (HFSG) comprise food, nutrition, behavioral design, and other standards to guide the purchasing, preparation, and offering of foods and beverages in worksites and institutional food service. To date, there have been few attempts to synthesize evidence for HFSG effectiveness in non-K-12 or early childhood education sectors, particularly at worksites and institutional food services. We conducted a scoping review to achieve the following: (1) characterize the existing literature on the effectiveness of HFSG for improving the institution’s food environment, financial outcomes, and consumers’ diet quality and health, and (2) identify gaps in the literature. The initial search in PubMed and Web of Science retrieved 10,358 articles; after screening and snowball searching, 68 articles were included for analysis. Studies varied in terms of HFSG implementation settings, venues, and outcomes in both U.S. (n = 34) and non-U.S. (n = 34) contexts. The majority of HFSG interventions occurred in venues where food is sold (e.g., worksite cafeterias, vending machines). A diversity of HFSG terminology and measurement tools demonstrates the literature’s breadth. Literature gaps include quasi-experimental study designs, as well as interventions in settings that serve dependent populations (e.g., universities, elderly feeding programs, and prisons). Full article

Obesity and metabolic dysfunction are established risk factors for luminal breast cancer, yet current preclinical models inadequately recapitulate the complex metabolic and immune interactions driving tumorigenesis. To develop and characterize an immunocompetent rat model of luminal breast cancer induced by chronic exposure to a cafeteria diet mimicking Western obesogenic nutrition, female rats were fed a cafeteria diet or standard chow from weaning. Metabolic parameters, plasma biomarkers (including leptin, insulin, IGF-1, adiponectin, and estrone), mammary gland histology, tumor incidence, and gene expression profiles were longitudinally evaluated. Gene expression was assessed by PCR arrays and qPCR. A subgroup underwent dietary reversal to assess the reversibility of molecular alterations. Cafeteria diet induced significant obesity (mean weight 426.76 g vs. 263.09 g controls, p < 0.001) and increased leptin levels without altering insulin, IGF-1, or inflammatory markers. Histological analysis showed increased ductal ectasia and benign lesions, with earlier fibroadenoma and luminal carcinoma development in diet-fed rats. Tumors exhibited luminal phenotype, low Ki67, and elevated PAI-1 expression. Gene expression alterations were time point specific and revealed early downregulation of ID1 and COX2, followed by upregulation of MMP2, THBS1, TWIST1, and PAI-1. Short-term dietary reversal normalized several gene expression changes. Overall tumor incidence was modest (~12%), reflecting early tumor-promoting microenvironmental changes rather than aggressive carcinogenesis. This immunocompetent cafeteria diet rat model recapitulates key metabolic, histological, and molecular features of obesity-associated luminal breast cancer and offers a valuable platform for studying early tumorigenic mechanisms and prevention strategies without carcinogen-induced confounders. Full article

Background/Objectives: Deep learning (DL) has shown strong potential in analyzing food images, but few studies have directly predicted mass, energy, and macronutrient content from images. In addition to the importance of high-quality data, differences in country-specific food composition databases (FCDBs) can hinder model generalization. Methods: We assessed the performance of several standard DL models using four ground truth datasets derived from Nutrition5k—the largest image–nutrition dataset with ~5000 complex US cafeteria dishes. In light of developing an Italian dietary assessment tool, these datasets varied by FCDB alignment (Italian vs. US) and data curation (ingredient–mass correction and frame filtering on the test set). We evaluated combinations of four feature extractors [ResNet-50 (R50), ResNet-101 (R101), InceptionV3 (IncV3), and Vision Transformer-B-16 (ViT-B-16)] with two regression networks (2+1 and 2+2), using IncV3_2+2 as the benchmark. Descriptive statistics (percentages of agreement, unweighted Cohen’s kappa, and Bland–Altman plots) and standard regression metrics were used to compare predicted and ground truth nutritional composition. Dishes mispredicted by ≥7 algorithms were analyzed separately. Results: R50, R101, and ViT-B-16 consistently outperformed the benchmark across all datasets. Specifically, when replacing it with these top algorithms, reductions in median Mean Absolute Percentage Errors were 6.2% for mass, 6.4% for energy, 12.3% for fat, and 33.1% and 40.2% for protein and carbohydrates. Ingredient–mass correction substantially improved prediction metrics (6–42% when considering the top algorithms), while frame filtering had a more limited effect (<3%). Performance was consistently poor across most models for complex salads, chicken-based or eggs-based dishes, and Western-inspired breakfasts. Conclusions: The R101 and ViT-B-16 architectures will be prioritized in future analyses, where ingredient–mass correction and automated frame filtering methods will be considered. Full article

Obesity is a global health concern that elevates the risk of noncommunicable diseases (NCDs) such as type 2 diabetes, cardiovascular disease, and certain cancers. Phaseolus vulgaris (white bean) contains α-amylase inhibitors (αAIs) that can reduce carbohydrate digestion and absorption, potentially mitigating obesity and metabolic syndrome. This study investigated the impact of P. vulgaris extract (PVE) on obese rats. Male Wistar rats were fed either a standard diet (SD) or a cafeteria diet (CAF) for 17 weeks to induce obesity. Subsequently, rats in each dietary group were randomly assigned to receive a vehicle, low-dose PVE (200 mg/kg), high-dose PVE (300 mg/kg), or metformin (200 mg/kg) via an oral gavage for 6 weeks. The CAF group exhibited significantly greater weight gain compared to the SD group. In the CAF group, a low dose of PVE lowered postprandial glycemia during an oral glucose tolerance test (OGTT) at 60 and 120 min and decreased food and energy intake during weeks 17–20 and 18–19, respectively. In the SD group, a high dose of PVE reduced glycemia at 90 min in the OGTT, as well as body weight gain, food intake, and energy intake during week 17. However, the overall areas under the glucose curves in the OGTT were not significantly different across treatment groups (p > 0.05), and while individual time points showed changes, the overall glucose exposure (AUC) was not significantly altered. In conclusion, the αAIs present in P. vulgaris demonstrate the potential to reduce body weight, weight gain, glycemia, total cholesterol, and triglycerides in vivo, but in the CAF group, neither PVE dose significantly altered the TC or TG. This study provides strong support for further exploring Phaseolus vulgaris extract as a valuable functional ingredient in the food industry, particularly for developing products that aid in weight management and glycemic control. Full article

This preliminary study explores the use of a smart tray prototype equipped with a weight sensor to analyze consumer eating behavior in real-life conditions. Conducted in 2022, at the restaurant “La Confluence” in Namur, with 60 participants, the experiment involved tracking the progression of a standardized meal, “Scallops in sauce with vegetables”. The collected data allowed for the calculation of variables such as bite count, applied force, meal duration, and quantity consumed. Through mathematical processing, insights into individual and group eating patterns were developed, with 39 usable datasets analyzed. Our first results show that the smart tray is capable of estimating the weight consumed and the number of bites with over 97% accuracy. Statistical analysis enabled the identification of four distinct groups of individuals based on five behavioral variables related to eating behavior. The smart tray could be used in hospitality establishments including cafeterias, restaurants, or brasseries, where it could serve as a valuable tool for monitoring meal nutrition. Further improvements will aim to enhance utensil and action recognition through artificial intelligence, which will also support a more detailed characterization of eating behavior. Full article

Indoor environmental quality (IEQ), encompassing thermal comfort and indoor air quality (IAQ), plays a crucial role in occupant well-being and operational performance. Although widely studied individually, integrating thermal comfort and IAQ assessments remains limited, particularly in large-scale tropical commercial settings. Hypermarkets, characterised by spatial heterogeneity and fluctuating occupancy, present challenges that conventional HVAC systems often fail to manage effectively. This study investigates thermal comfort and IAQ variability in a hypermarket located in Gombak, Malaysia, under tropical rainforest conditions based on the Köppen–Geiger climate classification, a widely used system for classifying the world’s climates. Environmental parameters were monitored using a network of IoT-enabled sensors across five functional zones during actual operations. Thermal indices (PMV, PPD) and IAQ metrics (CO₂, TVOC, PM2.5, PM10) were analysed and benchmarked against ASHRAE 55 standards to assess spatial variations and occupant exposure. Results revealed substantial heterogeneity, with the cafeteria zone recording critical discomfort (PPD 93%, CO₂ 900 ppm, TVOC 1500 ppb) due to localised heat and insufficient ventilation. Meanwhile, the intermediate retail zone maintained near-optimal conditions (PPD 12%). Although findings are specific to this hypermarket, the integrated zone-based monitoring provides empirical insights that support the enhancement of IEQ assessment approaches in tropical commercial spaces. By characterising zone-specific thermal comfort and IAQ profiles, this study contributes valuable knowledge toward developing adaptive, occupant-centred HVAC strategies for complex retail environments in hot-humid climates. Full article

To ensure the effective implementation of food waste reduction in college cafeterias, Capital Normal University developed an automatic plate recognition system based on machine vision technology. The system operates by obtaining images of plates (whether clean or not) and the diners’ faces through multi-directional monitoring, then employs several deep learning models for the automatic localization and identification of the plates. Face recognition technology links the identification results of the plates to the diners. Additionally, the system incorporates innovative educational mechanisms such as online feedback and point redemption to encourage student participation and foster thrifty habits. These initiatives also provide more accurate training samples, enhancing the system’s precision and stability. Our findings indicate that machine vision technology is suitable for rapid identification and location of clean plates. Even without optimized network parameters, the U-Net network demonstrates high recognition accuracy (MIOU of 68.64% and MPA of 78.21%) and ideal convergence speed. Pilot data showed a 13% reduction in overall waste in the cafeteria and over 75% user acceptance of the mechanism. The implementation of this system has significantly improved the efficiency and accuracy of plate recognition, offering an effective solution for food waste prevention in college canteens. Full article

Mostly, public places are planned and designed by professionals rather engaging the community in the design process. Even if the community engaged, the engagement process was limited to hand drawings, manual mappings, or public discussions, which limited the general public to visualize and well-communicate their aspirations with the professionals. Against this backdrop, this study intends to develop a mobile application called “CityBuildAR”, which uses Augmented Reality technology that allows the end user to visualize their public spaces in a way they want. CityBuildAR was developed by the authors using the Unity Real-Time Development Platform, and the app was developed for an Android Operating System. The app was used to assess community interests in designing open spaces by categorizing participants into three groups: those with limited, average, and professional knowledge of space design. The open cafeteria of the University of Moratuwa, Sri Lanka served as the testbed for this study. The study findings revealed that: (a) Mobile Augmented Reality is an effective way to engage people with limited knowledge in space design to express their design thinking, (b) Compared to professionals, the general public wanted to have more green elements in the public space; (c) Compared to the professionals, the general public who were not conversant with the designing skills found the app more useful to express their ideas. The study guides urban authorities in their placemaking efforts by introducing a novel approach to effectively capture community ideas for creating inclusive public spaces. Full article

The indoor acoustic climate of dining places often presents challenges for designers and their projects. In this type of enclosure, one of the fundamental factors determining the acoustic climate of a space is the acceptable speech reception in relation to sound alarm systems. This study discusses an index-based method for assessing the acoustic climate of dining places, such as restaurants and cafeterias, during the design process. These studies focused on the reverberation time and speech intelligibility as key parameters defining the acoustical climate. The analyses considered dining places (primarily restaurants) with different dimensions, geometries, and layouts. The method combines architectural parameters (such as volume or shape) and acoustical parameters (such as absorption or background sound) that influence the acoustical quality of dining places. The proposed method is assumed to provide a convenient evaluation of planned dining locations in terms of speech intelligibility. The method is based on the W_R index parameter and serves as a functional tool for architects and designers in their initial drawings and when making design decisions. The method was verified using subjective assessments. Implementing this method provides possibilities to increase the comfort of restaurants and cafeterias and lower or avoid costs associated with improving the acoustic comfort of ready-to-use dining places. Full article

Introduction and Objective: Obesity has increased worldwide, and existing anti-obesity medications have treatment limitations that diminish their overall benefits. This study aimed to investigate the effects of orlistat in combination with Elettaria cardamomum “Cardamom” (CAR) extract on working memory, recognition memory, anxiety, and inflammation within hippocampal tissue. Methods: Mice were categorized into two groups: a control group (CD) and a cafeteria diet (CAF) group induced with obesity (CAF) for 10 weeks. The groups were then subdivided into a CAF group treated with orlistat (CAF-ORL), a CAF group treated with orlistat and Elettaria cardamomum (CAF-ORL-CARD), and a group that continued on the CAF. The CAF-ORL group received orlistat at a dosage of 10 mg/kg/day for four weeks, while the CAF-ORL-CARD group received 10 mg/kg/day of orlistat and 500 mg/kg of CAR extract via oral gavage. In the 14th week, various assessments were conducted, including the novel object recognition (NOR) test, Y maze test, marble-burying test (MBT), open-field test, and TNF-α levels in the hippocampus. Result: TNF-α levels in the hippocampal tissue of the CAF group were elevated compared to the CD group (p < 0.01), whereas the CAF-ORL group exhibited reduced TNF-α levels compared to the CAF group (p < 0.01). Moreover, TNF-α levels in the CAF-ORL-CARD group were significantly lower than in the CAF-ORL group (p < 0.01). The recognition index was notably higher in the CAF-ORL group compared to the CAF group (p < 0.01) and higher in the CAF-ORL-CARD group compared to the CAF-ORL group (p < 0.01). However, there were no changes in the open-field test and Y maze test (p > 0.05). Conclusions: Orlistat combined with CAR has positive effects on neuroinflammation and memory, suggesting that this combination may offer potential therapeutic benefits for cognitive impairments and hippocampal dysfunction associated with obesity. Full article

Estrogen deficiency, coupled with a cafeteria diet (CD), can impair peri-implant bone repair, posing a significant challenge to implant success in affected individuals. Thus, it is crucial to explore strategies for implant functionalization and systemic treatments that could alleviate these bone alterations. This study aimed to assess peri-implant bone repair in ovariectomized (OVX) rats subjected to a CD, with a focus on implants functionalized with genistein (GEN), compared to conventional implants (CONV), and the effects of systemic treatment with risedronate sodium (RIS). In total, thirty-six female rats were assigned to three groups: rats with estrogen (SHAM), rats with estrogen deficiency and CD (OVX-CD), rats with estrogen deficiency, CD, and systemic RIS treatment (OVX-CD-RIS). All rats underwent bilateral extraction of the first upper molars followed by implant installation. Each group was further subdivided based on implant type: conventional implants (CONV) or GEN-functionalized implants, resulting in six subgroups (n = 6). The study employed several analyses, including reverse torque testing, microcomputed tomography (Micro-CT), epifluorescence microscopy, and molecular assays. The main result demonstrated that the OVX-CD-RIS/GEN subgroup exhibited significantly higher reverse torque values, indicating stronger implant stability. Micro-CT scans revealed a greater bone volume in the OVX-CD-RIS/GEN subgroup compared to other subgroups. Epifluorescence microscopy also demonstrated an increased mineral apposition rate in both the OVX-CD/GEN and OVX-CD-RIS/GEN subgroups. Molecular analysis indicated elevated expression levels of osteocalcin, alkaline phosphatase, and vascular endothelial growth factor in the OVX-CD-RIS/GEN subgroup. In conclusion, the combined treatment of systemic RIS and GEN-functionalized implants significantly enhanced peri-implant bone repair, offering a promising strategy to improve implant outcomes in postmenopausal women with metabolic syndrome. Full article

Diets will likely play a crucial role in the Anthropocene to support the population’s health and safeguard environmental sustainability for future generations. Based on a cross-sectional–observational–descriptive design for evaluating an entire menu proposal, data on the type and composition of the menus offered by a university catering service during an academic year were collected. Each day during the meal service, 10 plates of the same option offered were weighed, and 10 photographs were taken. With these data, the nutritional value and carbon footprint were evaluated for all possible combinations of first and second courses, while including the average values of other components of the menu (garnishes, bread, desserts, and beverages). The annual menu proposal resulted in 6478 combinations of first and second courses plus the other components. The average caloric intake was 1194 kcal/menu with high consumption of proteins and lipids, and the average carbon footprint was 1.86 kg carbon dioxide equivalent (CO₂eq)/menu, with the second course being the major contributor. Creating menus that consider these two essential parameters is the task of specialists. Achieving food consumption that balances nutrition and environmental sustainability is another issue of education and communication. Full article

Background: In recent years, the role of neurotrophins and their receptors in peripheral tissues has been of great interest. At a metabolic level, the brain-derived neurotrophic factor (BDNF) and its receptor trkB have been reported to participate in insulin secretion from the pancreas in response to increases in circulating blood glucose. Objetive: To determines the role of the BDNF-trkB pathway in insulin secretion and pancreatic morphology in rats fed a cafeteria-style diet for 16 weeks. Methods: For the study, male rats of the Wistar strain were divided into three groups as follows: (1) control group (standard diet), (2) CAF group (cafeteria-style diet) and (3) CAF group treated with ANA-12 (TrkB receptor antagonist). After 4 months of intervention, the glucose and insulin tolerance curves, serum insulin levels, body fat and hematoxylin-eosin staining pancreas were evaluated. Results: The results showed that the cafeteria-style diet induced an increase in the amount of body fat, alterations in the glucose tolerance curve, increased insulin circulation levels, increased HOMA indices and increased pancreatic islet size. The antagonism of the trkB receptor in the rats fed a cafeteria-style diet enhanced some effects such as the accumulation of body fat and insulin secretion and induced a greater increase in the pancreas islet size. Conclusions: Under conditions of cafeteria-style diet-induced obesity, the antagonism of the BDNF-trkB pathway had no enhanced effect on the increase in insulin secretion or pancreatic islet size. Full article

Introduction: Consuming hypercaloric diets during pregnancy induces metabolic, immune, and maternal intestinal dysbiosis disorders. These conditions are transferred to the offspring through the placenta and breastfeeding, increasing susceptibility to metabolic diseases. We investigated the effect of L. rhamnosus GG supplementation on offspring maternally programmed with a hypercaloric diet. Methods: Our study involved sixteen female Wistar rats aged ten weeks, which were divided into four groups based on their diets: control (Ctrl), cafeteria (CAF), control + probiotic (PRO), and cafeteria + probiotic (CPRO). The control + probiotic and cafeteria + probiotic groups received a daily oral administration of 250 μL of L. rhamnosus GG cell suspension (equivalent to 10⁹ UFC) for nine weeks. The body weight of the animals was recorded weekly, and their food intake was monitored every 24 h. An oral glucose tolerance test was conducted on the offspring at seven weeks of age. At the ninth week of age, animals were euthanized, and blood, tissues, and organs were collected. Results: Maternal supplementation with L. rhamnosus GG decreased food intake and the average birth weight, improved glucose sensitivity, and lowered the levels of LDL, cholesterol, triglycerides, and mesenteric adipose tissue in offspring compared with the control and cafeteria groups. Conclusions: Our findings indicate that supplementing with LGG during maternal programming could protect offspring from metabolic disruptions caused by a hypercaloric maternal diet. Full article

We investigated the influence of sex and the age of obesogenic diet initiation on the obesity phenotypes at a later age. C57Bl mice started the Cafeteria Diet (CafD, with increased fat and carbohydrates, ad libitum, from 7 weeks of age (7CafD, pre-puberty) or 17 weeks of age (7CafD, post-puberty) while control C57Bl mice were fed regular chow. At 27 weeks of age, 7CafD males (n = 9) compared to 17CafD males (n = 7) had lower body weight, white adipose tissue (WAT) relative weight, and plasma cholesterol levels, and a higher expression of thermogenic genes in WAT and brown adipose tissue (BAT), and fatty acid oxidation (FAO) and insulin signalling genes in muscles. The 7CafD females (n = 8), compared to 17CafD females (n = 6), had higher plasma triglyceride levels and hepatic glycogen content, but lower insulin sensitivity and hepatic expression of FAO and insulin signalling genes. The 7CafD females, compared to 7CafD males, had more WAT, and a reduced expression of FAO genes in muscles and thermogenic genes in WAT. The 17CafD females, compared to 17CafD males, had lower plasma leptin and insulin levels, and higher insulin sensitivity and expression of insulin signalling genes in the liver and muscles. Thus, the initiation of the obesogenic diet before puberty led to a more adaptive metabolic phenotypes in males, and after puberty, in females. Full article