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1.
Food Sci Nutr ; 2(4): 371-9, 2014 Jul.
Article in English | MEDLINE | ID: mdl-25473494

ABSTRACT

Interest in plant-based diets is increasing, evidenced by scientific and regulatory recommendations, including Dietary Guidelines for Americans. Dietitians provide guidance in dietary protein selection but little is known about how familiar dietitians are with the quality of plant versus animal proteins or methods for measuring protein quality. Likewise, there is a need to explore their beliefs related to dietary recommendations. The aim of this study was to assess dietitians' perceptions of plant-based protein quality and to determine if these are affected by demographic factors such as age and dietary practice group (DPG) membership. This was a cross-sectional design using an online survey. The survey was sent to all members of the Missouri Dietetic Association. All completed surveys (136) were analyzed. The main outcome measures were responses to belief and knowledge questions about the protein quality of plant-based diets, along with demographic information including age and DPG membership. Descriptive statistics and frequencies were determined, and chi-square analysis was used to determine the associations between belief and knowledge responses and demographic characteristics. Responses to belief statements suggested a high level of support for plant-based diets. No associations were found between any of the belief questions and demographic factors. A majority of respondents were not familiar with protein quality determination methods that are currently recognized by global regulatory and advisory agencies. Potential barriers identified in shifting to a more plant-based diet were lack of interest and perceived difficulty. Knowledge among dietitians of plant-based protein quality in general, and methods of protein quality measurement more specifically, needs to be addressed to enhance their knowledge base for making dietary protein recommendations. Two potential avenues for training are university curricula and continuing education opportunities provided to practitioners who provide dietary advice.

2.
J Acad Nutr Diet ; 113(8): 1044-56, 2013 Aug.
Article in English | MEDLINE | ID: mdl-23885702

ABSTRACT

BACKGROUND: Consumption of soybean oil enriched with stearidonic acid was previously shown to increase eicosapentaenoic acid (EPA) in red blood cells (RBC). OBJECTIVE: This study was designed to evaluate the effect of stearidonic acid oil used as a food ingredient in baked products and beverages on the RBC fatty acid profile. DESIGN: This was a randomized, double-blind, controlled, parallel-arm study. PARTICIPANTS: Healthy men and women 21 to 65 years of age were included. INTERVENTION: Participants consumed either negative control (1.5 g/day high-oleic sunflower ethyl ester oil softgel capsules+foods containing 7 g/day high-oleic sunflower oil), positive control (1.5 g/day EPA oil ethyl ester softgel capsules+foods containing 7 g/day high-oleic sunflower oil), or active (1.5 g/day high-oleic sunflower ethyl ester oil softgel capsules+foods containing 7 g/day stearidonic acid soybean oil) for 12 weeks. MAIN OUTCOME MEASURES: RBC membrane fatty acid profile (at weeks 0, 2, 4, 6, 8, 10, and 12); fasting serum lipids (weeks -2, 0, 6, 10, and 12); and fasting plasma glucose and insulin (weeks -2, 0, 10, and 12) were assessed. STATISTICAL ANALYSES PERFORMED: A repeated measures analysis of covariance was used for continuous variables, and pair-wise comparisons between treatments were adjusted using a step-down Bonferroni method. Fisher's exact or χ(2) tests were used for categorical data. RESULTS: RBC %EPA throughout the 12-week study were significantly different between all groups. Means at 12 weeks were 0.50%±0.03%, 2.17%±0.21%, and 0.85%±0.05% for control, EPA, and stearidonic acid, respectively. Other efficacy outcome measures were not significantly different among treatment groups. CONCLUSIONS: Consumption of stearidonic acid-enriched soybean oil incorporated into common foods increased RBC %EPA in healthy men and women. Stearidonic acid soybean oil, a sustainable and accessible source of long-chain n-3, can effectively be used to increase EPA in RBC.


Subject(s)
Eicosapentaenoic Acid/analysis , Erythrocytes/chemistry , Fatty Acids, Omega-3/metabolism , Adult , Aged , Diet/standards , Double-Blind Method , Eicosapentaenoic Acid/metabolism , Erythrocytes/metabolism , Fatty Acids, Omega-3/administration & dosage , Fatty Acids, Omega-3/analysis , Female , Health Status , Humans , Lipid Metabolism , Male , Middle Aged , Nutrition Policy , Seafood , Soybean Oil , Young Adult
3.
J Agric Food Chem ; 59(23): 12707-12, 2011 Dec 14.
Article in English | MEDLINE | ID: mdl-22017752

ABSTRACT

Protein quality, as determined by the PDCAAS method, is a measure of a protein's ability to provide adequate levels of essential amino acids for human needs. PDCAAS is calculated using an amino acid profile and true digestibility of a food protein. Soy protein is recognized as a high quality plant protein, but published PDCAAS values may vary based on the soy protein ingredient as well as the reproducibility and accuracy of the testing methods. Comparison of PDCAAS values for four differently processed soy ingredients, including three isolated soy proteins (ISP) and one soy protein concentrate (SPC), was made using two different laboratories with evaluation of the impact of the reproducibility and accuracy of amino acid profiles. PDCAAS calculations, using amino acid values from one laboratory, yielded a truncated PDCAAS of 1.00 for all four ingredients, while a second laboratory provided statistically significantly lower scores (0.95-1.00). We conclude that analytical method error can be a significant contributor to PDCAAS differences and can be mitigated by the application of amino acid nitrogen recovery correction factors.


Subject(s)
Amino Acids/analysis , Dietary Proteins/analysis , Digestion , Soybean Proteins/chemistry , Soybean Proteins/metabolism , Amino Acids, Essential/analysis , Child, Preschool , Dietary Proteins/metabolism , Humans , Nutritive Value , Reference Values
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