3 resultados para nutrient analysis

em DigitalCommons@The Texas Medical Center


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Little is known about the impact of behavioral programs to decrease binge eating in obese persons who do not purge. This study was conducted to compare the amount of change in the reduction of binge days and selected nutrients in women who had joined a behavioral weight loss program. Forty-six women in the behavioral self management (BSM) group and thirty-six women in the Wait List Control (WLC) groups completed seven day food records at baseline and six months. These records were analyzed for calories, percentage of calories from protein, carbohydrate, fat and dietary fiber/ 1000 calories and were marked as "binge" or "nonbinge" days. Foods were also divided into 12 food groups but only six contributing to fat intake were chosen for analysis: dairy; fat; grains and starchy vegetables; meat, fish, and poultry; meat, fish, and poultry combinations; snacks and desserts. At six months, there was no difference in the amount of change in any of the selected nutrients between the BSM and WLC groups or in the amount of change within each food group except in the meat, fish, and poultry combination and in the snacks and desserts groups because both groups experienced similar changes at six months. Binge and nonbinge day nutrient analysis by BSM and WLC showed that at baseline and six months within the BSM group, calories increased significantly on binge days. Within the WLC group at six months, percentage of calories from protein was significantly decreased on binge days.^ The significant finding of this study was the reduction in the amount of change in the number of binge days at six months between the BSM and WLC groups ($-$2.2 versus $-$1.1 respectively). These data suggest that behavioral programs can successful reduce binge days, but that significant change in food intake may require more intensive treatment. ^

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The relative influence of race, income, education, and Food Stamp Program participation/nonparticipation on the food and nutrient intake of 102 fecund women ages 18-45 years in a Florida urban clinic population was assessed using the technique of multiple regression analysis. Study subgroups were defined by race and Food Stamp Program participation status. Education was found to have the greatest influence on food and nutrient intake. Race was the next most influential factor followed in order by Food Stamp Program participation and income. The combined effect of the four independent variables explained no more than 19 percent of the variance for any of the food and nutrient intake variables. This would indicate that a more complex model of influences is needed if variations in food and nutrient intake are to be fully explained.^ A socioeconomic questionnaire was administered to investigate other factors of influence. The influence of the mother, frequency and type of restaurant dining, and perceptions of food intake and weight were found to be factors deserving further study.^ Dietary data were collected using the 24-hour recall and food frequency checklist. Descriptive dietary findings indicated that iron and calcium were nutrients where adequacy was of concern for all study subgroups. White Food Stamp Program participants had the greatest number of mean nutrient intake values falling below the 1980 Recommended Dietary Allowances (RDAs). When Food Stamp Program participants were contrasted to nonparticipants, mean intakes of six nutrients (kilocalories, calcium, iron, vitamin A, thiamin, and riboflavin) were below the 1980 RDA compared to five mean nutrient intakes (kilocalories, calcium, iron, thiamin and riboflavin) for the nonparticipants. Use of the Index of Nutritional Quality (INQ), however, revealed that the quality of the diet of Food Stamp Program participants per 1000 kilocalories was adequate with exception of calcium and iron. Intakes of these nutrients were also not adequate on a 1000 kilocalorie basis for the nonparticipant group. When mean nutrient intakes of the groups were compared using Student's t-test oleicacid intake was the only significant difference found. Being a nonparticipant in the Food Stamp Program was found to be associated with more frequent consumption of cookies, sweet rolls, doughnuts, and honey. The findings of this study contradict the negative image of the Food Stamp Program participant and emphasize the importance of education. ^

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The purpose of this research was development of a method of estimating nutrient availability in populations as approximated by supermarket purchase records. Demographic information describing 12,516 panel households was obtained from a marketing and advertising program operated by H. E. Butt Grocery Company of San Antonio, Texas. A non-probability sample of 2,161 households meeting expenditure criteria was selected and all purchases of dairy products for this sample of households were organized into a database constructed to facilitate the retrieval, aggregation, and analysis of dairy product purchases and their nutrient contents. Two hypotheses were tested: (1) no difference would be found between Hispanic and non-Hispanic purchases of dairy product categories during the study period and (2) no difference would be found between Hispanic and non-Hispanic purchases of nutrients contained in those dairy products during the thirteen-week study period.^ Food purchase records were used to estimate nutrient exposure on a weekly, per capita basis for Hispanic and non-Hispanic households by linking some 40,000 dairy purchase Universal Product code (UPC) numbers with food composition values contained in USDA Handbook 8-1. Results of this study suggest Hispanic sample households consistently purchased fewer dairy products than did non-Hispanic sample households and consequently had fewer nutrients available from dairy purchases. While weekly expenditures for dairy products among the sample households remained relatively constant during the study period, shifts in the types of dairy products purchased were observed. The effect of ethnicity on dairy product and nutrient purchases was significant over the thirteen-week period. A database consisting of customer, household, and purchase information can be developed to successfully associate food item UPC numbers with a standard reference of food composition to estimate nutrient availability in a population over extended periods of time. ^