Literature DB >> 21752554

Contribution of beef consumption to nutrient intake, diet quality, and food patterns in the diets of the US population.

Theresa A Nicklas1, Carol E O'Neil, Michael Zanovec, Debra R Keast, Victor L Fulgoni.   

Abstract

This study examined the association between the nutrient contribution of beef, in its lowest and highest fat forms, and diet quality and food patterns in individuals 4+years of age. Beef consumers were categorized into three groups (lowest lean/highest fat [LLHF]; middle lean/middle fat content; and highest lean/lowest fat [HLLF]) based on the lean and fat content of beef consumed. Compared to non-beef consumers, HLLF consumers had higher intakes of vitamins B(6) and B(12), iron, zinc, and potassium. Non-beef consumers had higher intakes of thiamin, folate, calcium, and magnesium than HLLF beef consumers. The HLLF group had significantly higher intakes of vitamins A, C, B(6), and B(12); niacin; phosphorus; magnesium; iron; zinc; and potassium, protein and lower intakes of total energy; total fat; SFA; MUFA; total carbohydrates. There was no difference in diet quality between HLLF beef consumers and non-beef consumers. Moderate consumption of lean beef contributes to intakes of selected nutrients and diet quality was similar to non-beef consumers.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21752554     DOI: 10.1016/j.meatsci.2011.06.021

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  10 in total

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Journal:  J Anim Sci       Date:  2018-09-29       Impact factor: 3.159

2.  The association between meat consumption and muscle strength index in young adults: the mediating role of total protein intake and lean mass percentage.

Authors:  Bruno Bizzozero-Peroni; Vicente Martínez-Vizcaíno; Miriam Garrido-Miguel; Rubén Fernández-Rodríguez; Ana Torres-Costoso; Asunción Ferri-Morales; Noelia M Martín-Espinosa; Arthur Eumann Mesas
Journal:  Eur J Nutr       Date:  2022-10-03       Impact factor: 4.865

Review 3.  Broad and Inconsistent Muscle Food Classification Is Problematic for Dietary Guidance in the U.S.

Authors:  Cody L Gifford; Lauren E O'Connor; Wayne W Campbell; Dale R Woerner; Keith E Belk
Journal:  Nutrients       Date:  2017-09-16       Impact factor: 5.717

4.  Total, Fresh, Lean, and Fresh Lean Beef Consumption in Relation to Nutrient Intakes and Diet Quality among U.S. Adults, 2005⁻2016.

Authors:  Ruopeng An; Sharon Nickols-Richardson; Reginald Alston; Sa Shen; Caitlin Clarke
Journal:  Nutrients       Date:  2019-03-06       Impact factor: 5.717

5.  Beef intake and risk of rheumatoid arthritis: Insights from a cross-sectional study and two-sample Mendelian randomization.

Authors:  Weiwei Chen; Ke Liu; Lin Huang; Yingying Mao; Chengping Wen; Ding Ye; Zhixing He
Journal:  Front Nutr       Date:  2022-09-06

6.  Higher protein intake during caloric restriction improves diet quality and attenuates loss of lean body mass.

Authors:  Anna R Ogilvie; Yvette Schlussel; Deeptha Sukumar; Lingqiong Meng; Sue A Shapses
Journal:  Obesity (Silver Spring)       Date:  2022-05-11       Impact factor: 9.298

7.  Habitual dietary protein intake affects body iron status in Japanese female college rhythmic gymnasts: a follow-up study.

Authors:  Yuki Kokubo; Kumiko Kisara; Yuri Yokoyama; Yoshiko Ohira-Akiyama; Yuki Tada; Azumi Hida; Sakuko Ishizaki; Yukari Kawano
Journal:  Springerplus       Date:  2016-06-24

8.  Protective effects of beef decoction rich in carnosine on cerebral ischemia injury by permanent middle cerebral artery occlusion in rats.

Authors:  Ai-Hong Wang; Qian Ma; Xin Wang; Gui-Hua Xu
Journal:  Exp Ther Med       Date:  2017-11-17       Impact factor: 2.447

9.  Nutrient intake disparities in the US: modeling the effect of food substitutions.

Authors:  Zach Conrad; LuAnn K Johnson; James N Roemmich; WenYen Juan; Lisa Jahns
Journal:  Nutr J       Date:  2018-05-17       Impact factor: 3.271

10.  An improved gray prediction model for China's beef consumption forecasting.

Authors:  Bo Zeng; Shuliang Li; Wei Meng; Dehai Zhang
Journal:  PLoS One       Date:  2019-09-06       Impact factor: 3.240

  10 in total

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