The National Beef Quality Audit (NBQA) is conducted every 5 yr and was most recently again conducted in 2016. Face-to-face interviews gauged progress in quality associated with live cattle production using procedures first utilized in NBQA 2011. The 2016 NBQA was the first in which interviews concerning fed steers and heifers were combined with an audit of market cow and bull beef. Face-to-face interviews were designed to illicit definitions for beef quality, estimate willingness to pay (WTP) for quality attributes, establish relative importance rankings for important quality factors, and assess images, strengths, weaknesses, potential threats, and shifting trends in the beef industry since the 2011 audit. Individuals making purchasing decisions in 5 market sectors of the steer/heifer and cow/bull beef supply chain were interviewed, including packers (n = 36), retailers (including large and small supermarket companies and warehouse food sales companies; n = 35), food service operators (including quick-serve, full-service, and institutional establishments; n = 29), further processors (n = 64), and peripherally-related government and trade organizations (GTO; n = 30). Face-to-face interviews were conducted between January and November of 2016 using a designed dynamic routing system. Definitions (as described by interviewees) for 7 pre-determined quality factors, including: (1) How and where the cattle were raised, (2) Lean, fat, and bone, (3) Weight and size, (4) Visual characteristics, (5) Food safety, (6) Eating satisfaction, and (7) Cattle genetics were recorded verbatim and categorized into similar responses for analysis. Compared to NBQA-2011, a higher percentage of companies were willing to pay premiums for guaranteed quality attributes, but overall were willing to pay lower average premiums than the companies interviewed in 2011. Food safety had the highest share of preference among all interviewees, generating a double-digit advantage over any other quality factor. The 2 beef industries have an overall positive image among interviewees, and despite lingering weaknesses, product quality continued to be at the forefront of the strengths category for both steer and heifer beef and market cow and bull beef.
This systematic review and landscape analysis describes patterns in dietary meat (skeletal muscle and associated tissues from mammalian, avian, and aquatic species; i.e., muscle foods) categories (CAT) and descriptions (DESCR) used throughout nutrition-related chronic disease literature, as there is anecdotally noted variation. A total of 1020 CAT and 776 DESCR were identified from 369 articles that assessed muscle food consumption and primary prevention of cardiovascular disease, obesity, type 2 diabetes, or cancer in adults ≥19 y from PubMed, Cochrane, and CINAHL up to March 2018. Specificity of CAT was analyzed on an empirical 1–7 ordinal scale as: 1) broad/undescriptive, “fish”; 2) muscle food type, “red meat”; 3) species, “poultry”; 4) broad + 1 descriptor, “processed meat”; 5) type/species + 1 descriptor, “fresh red meat”; 6) broad/type + 2 descriptors, “poached lean fish”; and 7) specific product, “luncheon meat.” Median CAT specificity for randomized controlled trials (RCTs) and observational studies (OBSs) was 3 and 2 points out of 7, respectively, with no differences between chronic disease types. Specificity of OBS CAT was higher in recent articles but RCT CAT became less specific starting in the 2000s. RCT CAT were 400% more likely to include species, 500% more likely to include leanness, but 400% less likely to include processing degree compared with OBS CAT. A DESCR was included for 76% and 82% of OBS and RCT CAT, respectively. Researchers described processed meat, red meat, and total meat CAT more commonly than poultry or fish CAT. Among processed meat DESCR, 31% included a common term used in public regulatory definitions. In conclusion, muscle food categories and descriptions are substantively different within and between experimental and observational studies and do not match regulatory definitions. A practical muscle food classification system is warranted to improve interpretation of evidence regarding muscle food consumption and chronic disease.
Dietary recommendations regarding consumption of muscle foods, such as red meat, processed meat, poultry or fish, largely rely on current dietary intake assessment methods. This narrative review summarizes how U.S. intake values for various types of muscle foods are grouped and estimated via methods that include: (1) food frequency questionnaires; (2) food disappearance data from the U.S. Department of Agriculture Economic Research Service; and (3) dietary recall information from the National Health and Nutrition Examination Survey data. These reported methods inconsistently classify muscle foods into groups, such as those previously listed, which creates discrepancies in estimated intakes. Researchers who classify muscle foods into these groups do not consistently considered nutrient content, in turn leading to implications of scientific conclusions and dietary recommendations. Consequentially, these factors demonstrate a need for a more universal muscle food classification system. Further specification to this system would improve accuracy and precision in which researchers can classify muscle foods in nutrition research. Future multidisciplinary collaboration is needed to develop a new classification system via systematic review protocol of current literature.
American consumers fall short of dietary fiber intake recommended by dietary guidelines. Beans provide protein and fiber, however, less than 14% of adults include them in their daily diets. Nuña beans (Phaseolus vulgaris L.), a class of common beans originated in South America and cultivated for growth in North America, possess a unique set of characteristics including flavor profile, popping ability, and nutrient content that may appeal to consumers. The purpose of this study was to evaluate a unique line of Wyoming‐grown popping beans to (1) determine nutrient characteristics and (2) assess popping percentage and shelf stability. Crude protein content was determined for five lines grown in Wyoming utilizing the Dumas method for nitrogen quantification. Total fatty acid content and a fatty acid profile for one line (CO49957) was determined by gas–liquid chromatography. Popping percentage was assessed by heating beans in canola oil in a cast iron pan to induce popping. Storage duration impact on popping was evaluated on CO49957 at 6, 12, and 15 months after harvest. Crude protein content was significantly different between all five lines. Total fatty acid content of CO49957 averaged 2.90 g/100 g wet weight. Average fatty acid profile of CO49957 popped in canola oil comprised oleic acid (41.4%), linoleic acid (20.4%), α‐linolenic acid (18.6%), palmitic acid (10.4%), and stearic acid (2.23%). Popping percentage was 90% (baseline), 100% (6 months), 87% (12 months), and 80% (15 months). Popping beans provide plant‐based protein and fiber while maintaining adequate levels of popping percentage with prolonged storage.
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