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- Creators: Johnston, Carol
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ABSTRACT Epidemiological studies have suggested a link between nut consumption and weight. The possible effects of regular nut consumption as a method of weight loss has shown minimal results with 2-3 servings of nut products per day. This 8 week study sought to investigate the effect of more modest nut consumption (1 oz./day, 5 days/week) on dietary compensation in healthy overweight individuals. Overweight and obese participants (n = 28) were recruited from the local community and were randomly assigned to either almond (NUT) or control (CON) group in this randomized, parallel-arm study. Subjects were instructed to eat their respective foods 30 minutes before the dinner meal. 24 hour diet recalls were completed pre-trial and at study weeks 1, 4 and 8. Self-reported satiety data were completed at study weeks 1, 4, and 8. Attrition was unexpectedly high, with 13 participants completing 24 dietary recall data through study week 8. High attrition limited statistical analyses. Results suggested a lack of effect for time or interaction for satiety data (within groups p = 0.997, between groups p = 0.367). Homogeneity of of inter-correlations could not be tested for 24-hour recall data as there were fewer than 2 nonsingular cell covariance matrices. In conclusion, this study was unable to prove or disprove the effectiveness of almonds to induce dietary compensation.
ContributorsJahns, Marshall (Author) / Johnston, Carol (Thesis advisor) / Hall, Richard (Committee member) / Wharton, Christopher (Christopher Mack), 1977- (Committee member) / Arizona State University (Publisher)
Created2011
Description
The evaluation of nutritional status by dietary intake assessment is fundamental to nutrition research. Accurate assessment allows for health professional-moderated diet adjustment in order to promote disease prevention and management. However, dietary intake can be extremely challenging to measure properly as reliability and accuracy are essential. As technology use has become more prevalent in recent years, an assortment of online, web-based diet analysis methods have begun to emerge. Are these modern methods as accurate as the traditional methods? The aim of this study was to compare and contrast diet analyses from a feeding trial in which both subject-coded (using the Automated Self Administered 24 hour recall, or the ASA24) and investigator-coded (using the Food Processor diet analysis program) diet records were available. Sixty-four overweight (body mass index >27-40 kg/m2) members of a campus community between the ages of 20-45 were recruited for an 8-week parallel arm, randomized controlled trial to evaluate the impact of two different pre-dinner meal snacks on satiety, calories consumed, and contribution to modest weight loss. As part of the study requirements, participants completed 3-day food logs at four different times during the trial: pre-trial, and week 1, 4, and 8. Participants also entered their dietary information into the ASA24 website the day after the intake was recorded by hand. Nutrient intake values were compared between the ASA24 records and the handwritten food logs. All statistical analyses were performed using SPSS Statistical Analysis version 19.0; bivariate analyses and Spearman correlation analyses were utilized. Energy, macronutrient, and micronutrient intakes did correlate significantly between the two methodologies, though both under-reporting and over-reporting were found to exist. Carbohydrate and fiber intakes were under-reported by subjects; retinol, beta-carotene, and vitamin C amounts were over-reported. These results are consistent with previous findings in reporting differences and suggest that the ASA24 is a comparably accurate dietary tracking tool to the traditional diet record method.
ContributorsSchohl, Brooke (Author) / Johnston, Carol (Thesis advisor) / Mayol-Kreiser, Sandra (Committee member) / Wharton, Christopher (Christopher Mack), 1977- (Committee member) / Arizona State University (Publisher)
Created2012