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• W2995704519 abstract "Abstract Objective: To apply a dietary modelling approach to investigate the impact of substituting beef intakes with three types of alternative fatty acid (FA) composition of beef on population dietary fat intakes. Design: Cross-sectional, national food consumption survey – the National Adult Nutrition Survey (NANS). The fat content of the beef-containing food codes ( n 52) and recipes ( n 99) were updated with FA composition data from beef from animals receiving one of three ruminant dietary interventions: grass-fed (GRASS), grass finished on grass silage and concentrates (GSC) or concentrate-fed (CONC). Mean daily fat intakes, adherence to dietary guidelines and the impact of altering beef FA composition on dietary fat sources were characterised. Setting: Ireland. Participants: Beef consumers ( n 1044) aged 18–90 years. Results: Grass-based feeding practices improved dietary intakes of a number of individual FA, wherein myristic acid (C14 : 0) and palmitic acid (C16 : 0) were decreased, with an increase in conjugated linoleic acid (C18 : 2 c 9, t 11) and trans -vaccenic acid (C18 : 1 t 11; P < 0·05). Improved adherence with dietary recommendations for total fat (98·5 %), SFA (57·4 %) and PUFA (98·8 %) was observed in the grass-fed beef scenario ( P < 0·001). Trans -fat intakes were increased significantly in the grass-fed beef scenario ( P < 0·001). Conclusions: To the best of our knowledge, the present study is the first to characterise the impact of grass-fed beef consumption at population level. The study suggests that habitual consumption of grass-fed beef may have potential as a public health strategy to improve dietary fat quality." @default.
• W2995704519 created "2019-12-26" @default.
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• W2995704519 date "2019-12-12" @default.
• W2995704519 modified "2023-09-25" @default.
• W2995704519 title "A modelling approach to investigate the impact of consumption of three different beef compositions on human dietary fat intakes" @default.
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• W2995704519 doi "https://doi.org/10.1017/s1368980019003471" @default.
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