998 resultados para Menu Planning
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La dieta, nell’antica medicina greca, rappresentava il complesso delle norme di vita, come l’alimentazione, l’attività fisica, il riposo, atte a mantenere lo stato di salute di una persona. Al giorno d’oggi le si attribuisce un significato fortemente legato all’alimentazione, puo` riferirsi al complesso di cibi che una persona mangia abitualmente oppure, con un messaggio un po' più moderno, ad una prescrizione di un regime alimentare da parte di un medico. Ogni essere umano mangia almeno tre volte al giorno, ognuno in base al proprio stile di vita, cultura, età, etc. possiede differenti abitudini alimentari che si ripercuotono sul proprio stato di salute. Inconsciamente tutti tengono traccia degli alimenti mangiati nei giorni precedenti, chi più chi meno, cercando di creare quindi una pianificazione di cosa mangiare nei giorni successivi, in modo da variare i pasti o semplicemente perchè si segue un regime alimentare particolare per un certo periodo. Diventa quindi fondamentale tracciare questa pianificazione, in tal modo si puo' tenere sotto controllo la propria alimentazione, che è in stretta relazione con il proprio stato di salute e stress, e si possono applicare una serie di aggiustamenti dove necessario. Questo è quello che cerca di fare il “Menu Planning”, offrire una sorta di guida all’alimentazione, permettendo così di aver sotto controllo tutti gli aspetti legati ad essa. Si pensi, ad esempio, ai prezzi degli alimenti, chiunque vorrebbe minimizzare la spesa, mangiare quello che gli piace senza dover per forza rinunciare a quale piccolo vizio quotidiano. Con le tecniche di “Menu Planning” è possibile avere una visione di insieme della propria alimentazione. La prima formulazione matematica del “Menu Planning” (allora chiamato diet problem) nacque durante gli anni ’40, l’esercito Americano allora impegnano nella Seconda Guerra Mondiale voleva abbassare i costi degli alimenti ai soldati mantenendo però inalterata la loro dieta. George Stingler, economista americano, trovò una soluzione, formulando un problema di ottimizzazione e vincendo il premio Nobel in Economia nel 1982. Questo elaborato tratta dell’automatizzazione di questo problema e di come esso possa essere risolto con un calcolatore, facendo soprattutto riferimento a particolari tecniche di intelligenza artificiale e di rappresentazione della conoscenza, nello specifico il lavoro si è concentrato sulla progettazione e sviluppo di un ES case-based per risolvere il problema del “Menu Planning”. Verranno mostrate varie tecniche per la rappresentazione della conoscenza e come esse possano essere utilizzate per fornire supporto ad un programma per elaboratore, partendo dalla Logica Proposizionale e del Primo Ordine, fino ad arrivare ai linguaggi di Description Logic e Programmazione Logica. Inoltre si illustrerà come è possibile raccogliere una serie di informazioni mediante procedimenti di Knowledge Engineering. A livello concettuale è stata introdotta un’architettura che mette in comunicazione l’ES e un Ontologia di alimenti con l’utilizzo di opportuni framework di sviluppo. L’idea è quella di offrire all’utente la possibilità di vedere la propria pianificazione settimanale di pasti e dare dei suggerimenti su che cibi possa mangiare durante l’arco della giornata. Si mostreranno quindi le potenzialità di tale architettura e come essa, tramite Java, riesca a far interagire ES case-based e Ontologia degli alimenti.
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"Issued September 1943, revised September 1944."
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Includes index.
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Mode of access: Internet.
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"May 1966"--P. [2] of cover.
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Issued May 1980.
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This review discusses menu analysis models in depth to identify the models strengths and weaknesses in attempt to discover opportunities to enhance existing models and evolve menu analysis toward a comprehensive analytical model.
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The primary purpose of these studies was to determine the effect of planning menus using the Institute of Medicine's (IOMs) Simple Nutrient Density Approach on nutrient intakes of long-term care (LTC) residents. In the first study, nutrient intakes of 72 subjects were assessed using Dietary Reference Intakes (DRIs) and IOM methodology. The intake distributions were used to set intake and menu planning goals. In the second study, the facility's regular menus were modified to meet the intake goals for vitamin E, magnesium, zinc, vitamin D and calcium. An experiment was used to test whether the modified menu resulted in intakes of micronutrients sufficient to achieve a low prevalence (<3%) of nutrient inadequacies. Three-day weighed food intakes for 35 females were adjusted for day-to-day variations in order to obtain an estimate of long-term average intake and to estimate the proportion of residents with inadequate nutrient intakes. ^ In the first study, the prevalence of inadequate intakes was determined to be between 65-99% for magnesium, vitamin E, and zinc. Mean usual intakes of Vitamin D and calcium were far below the Adequate Intakes (AIs). In the experimental study, the prevalence of inadequacies was reduced to <3% for zinc and vitamin E but not magnesium. The groups' mean usual intake from the modified menu met or exceeded the AI for calcium but fell short for vitamin D. Alternatively, it was determined that addition of a multivitamin and mineral (MVM) supplement to intakes of the regular menu could be used to achieve goals for vitamin E, zinc and vitamin D but not calcium and magnesium. ^ A combination of menu modification and MVM supplementation may be necessary to achieve a low prevalence of micronutrient inadequacies among LTC residents. Menus should be planned to optimize intakes of those nutrients that are low in an MVM, such as calcium, magnesium, and potassium. A MVM supplement should be provided to fill the gap for nutrients not provided in sufficient amounts by the diet, such as vitamin E and vitamin D. ^
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Information on foods patients like and dislike is the essential basis for planning menus which are acceptable to patients and promote adequate consumption. The aim of this study was to obtain quantitative data on the food preferences of inpatients at a large metropolitan public hospital for use in menu planning. Methodology was based on a study by Williams et al (1988), and included additional questions about appetite and taste changes. The survey used a 9 point hedonic scale to rate foods listed in random order and was modified to incorporate more contemporary foods than those used in the originalWilliams study. Surveys were conducted by final year University of Queensland dietetics students on Food Service Practicum at the Royal Brisbane and Women’s Hospital (929 beds) in 2012. The first survey (220 questions, n = 157) had a response rate of 61%. The second included more sandwich fillings and salads (231 questions, n = 219, response rate 67%). Total number surveyed was 376. Results showed the most preferred foods were roast potato, grilled steak, ice cream, fresh strawberries, roast lamb, roast beef, grapes and banana. The least preferred foods were grapefruit, soybeans, lentils, sardines, prune juice and grapefruit juice. Patients who reported taste changes (10%) had similar food preferences to those who didn’t report taste changes. Patients who reported poor/very poor appetite (10%) generally scored foods lower than those who reported OK (22%), good/very good appetite (65%). The results of this study informed planning for a new patient menu at the RBWH in December 2012.
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Objective. To compare the nutritional value of meals provided by companies participating in the Workers` Meal Program in the city of Sao Paulo, Brazil, to the nutritional recommendations and guidelines established by the Ministry of Health for the Brazilian population. Methods. The 72 companies studied were grouped according to economic sector (industrial, services, or commerce), size (micro, small, medium, or large), meal preparation modality (prepared on-site by the company itself, on-site by a hired caterer, or off-site by a hired caterer), and supervision by a dietitian (yes or no). The per capita amount of food was determined based on the lunch, dinner, and supper menus for three days. The nutritional value of the meals was defined by the amount of calories, carbohydrates, protein, total fat, polyunsaturated fat, saturated fat, trans fat, sugars, cholesterol, and fruits and vegetables. Results. Most of the menus were deficient in the number of fruits and vegetables (63.9%) and amount of polyunsaturated fat (83.3%), but high in total fat (47.2%) and cholesterol (62.5%). Group 2, composed of mostly medium and large companies, supervised by a dietician, belonging to the industrial and/or service sectors, and using a hired caterer, on averaged served meals with higher calorie content (P < 0.001), higher percentage of polyunsaturated fat (P < 0.001), more cholesterol (P = 0.015), and more fruits and vegetables (P < 0.001) than Group 1, which was composed of micro and small companies from the commercial sector, that prepare the meals themselves on-site, and are not supervised by a dietitian. Regarding the nutrition guidelines set for the Brazilian population, Group 2 meals were better in terms of fruit and vegetable servings (P < 0.001). Group I meals were better in terms of cholesterol content (P = 0.05). Conclusions. More specific action is required targeting company officers and managers in charge of food and nutrition services, especially in companies without dietitian supervision.
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Objective: To evaluate the impact of an educational and environmental intervention on the availability and consumption of fruits and vegetables in workplace cafeterias. Design: This was a randomized intervention study involving a sample of companies that were divided into intervention and control groups. The intervention, which focused on change in the work environment, was based on an ecological model for health promotion. It involved several different aspects including menu planning, food presentation and motivational strategies to encourage the consumption of fruits and vegetables. The impact of the intervention was measured by changes (between baseline and follow-up) in the availability of fruits and vegetables that were eaten per consumer in meals and the consumption of fruits and vegetables in the workplace by workers. We also evaluated the availability of energy, macronutrients and fibre. Settings: Companies of Sao Paulo, Brazil. Subjects: Twenty-nine companies and 2510 workers. Results: After the intervention we found an average increase in the availability of fruits and vegetables of 49 g in the intervention group, an increase of approximately 15 %, whereas the results for the control group remained practically equal to baseline levels. During the follow-up period, the intervention group also showed reduced total fat and an increase in fibre in the meals offered. The results showed a slight but still positive increase in the workers` consumption of fruits and vegetables (about 11 g) in the meals offered by the companies. Conclusions: Interventions focused on the work environment can be effective in promoting the consumption of healthy foods.
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Most hospitalised patients are dependent on hospital food for their nutritional requirements. We surveyed hospitalised patients to obtain their opinions of hospital food in order to improve menu planning and food delivery.
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Objetivo: Diseñar un cuestionario para evaluar el equilibrio alimentario de menús escolares, basado en un índice y una escala que lo cuantifique. Material y Métodos: Estudio instrumental para la creación y la validación de contenido de un cuestionario para la evaluación del equilibrio alimentario y clasificación de menús escolares, a través de recomendaciones de organismos oficiales y panel de expertos. Se estudió frecuencia de grupos de alimentos, técnicas culinarias, adecuada información y combinación. Se resumió en un índice y una escala de equilibrio. Resultados: Se elaboró la herramienta con la recomendación de los expertos y las nuevas recomendaciones de organismos oficiales, proponiendo un índice de 17 ítems y la escala de 4, de muy poco equilibrado a equilibrado. Conclusiones: Se ha propuesto una herramienta cualitativa completa y fácil de usar. Es necesaria la validación del cuestionario, junto con el índice y la escala, que se propone para posteriores trabajos.