Literature DB >> 16115340

Comparison of methods to estimate non-milk extrinsic sugars and their application to sugars in the diet of young adolescents.

Sarah A M Kelly1, Carolyn Summerbell, Andrew J Rugg-Gunn, Ashley Adamson, Emma Fletcher, Paula J Moynihan.   

Abstract

Consistent information on the non-milk extrinsic sugars (NMES) content of foods and the NMES intake by the population is required in order to allow comparisons between dietary surveys. A critical appraisal of methods of NMES estimation was conducted to investigate whether the different published methods for estimating the NMES content of foods lead to significantly different values for the dietary intake of NMES by children and to consider the relative practicality of each method. NMES values of foods were calculated using three different published descriptions of methods of NMES estimation, and the values were compared within food groups. Dietary intake values for English children aged 11-12 years were calculated using each method and compared in terms of overall NMES intake and the contribution of different food groups to NMES intake. There was no significant difference in the dietary intake of NMES in children between the method used in the National Diet and Nutrition Surveys (NDNS) (81.9 g/d; 95 % CI 79.0, 84.7) and a method developed by the Human Nutrition Research Centre (84.3 g/d; 95 % CI 81.4, 87.2) at Newcastle University, UK, although the latter gave slightly higher values. An earlier method used by the Ministry of Agriculture, Food and Fisheries gave significantly higher values than the other two methods (102.5 g/d; 95 % CI 99.3, 105.6; P<0.05). The method used in the NDNS surveys and the method used by the Human Nutrition Research Centre at Newcastle University are both thorough and detailed methods that give consistent results. However, the method used in the NDNS surveys was more straightforward to apply in practice and is the best method for a single uniform approach to the estimation of NMES.

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Year:  2005        PMID: 16115340     DOI: 10.1079/bjn20051448

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  10 in total

1.  Dietary sources of sugars in adolescents' diet: the HELENA study.

Authors:  M I Mesana; A Hilbig; O Androutsos; M Cuenca-García; J Dallongeville; I Huybrechts; S De Henauw; K Widhalm; A Kafatos; E Nova; A Marcos; M González-Gross; D Molnar; F Gottrand; L A Moreno
Journal:  Eur J Nutr       Date:  2016-11-29       Impact factor: 5.614

2.  Sugars in diet and risk of cancer in the NIH-AARP Diet and Health Study.

Authors:  Nataša Tasevska; Li Jiao; Amanda J Cross; Victor Kipnis; Amy F Subar; Albert Hollenbeck; Arthur Schatzkin; Nancy Potischman
Journal:  Int J Cancer       Date:  2011-05-25       Impact factor: 7.396

3.  A systematic methodology to estimate added sugar content of foods.

Authors:  J C Y Louie; H Moshtaghian; S Boylan; V M Flood; A M Rangan; A W Barclay; J C Brand-Miller; T P Gill
Journal:  Eur J Clin Nutr       Date:  2014-12-17       Impact factor: 4.016

4.  Sugars and risk of mortality in the NIH-AARP Diet and Health Study.

Authors:  Natasha Tasevska; Yikyung Park; Li Jiao; Albert Hollenbeck; Amy F Subar; Nancy Potischman
Journal:  Am J Clin Nutr       Date:  2014-02-19       Impact factor: 7.045

5.  A Disaggregation Methodology to Estimate Intake of Added Sugars and Free Sugars: An Illustration from the UK National Diet and Nutrition Survey.

Authors:  Birdem Amoutzopoulos; Toni Steer; Caireen Roberts; Darren Cole; David Collins; Dove Yu; Tabitha Hawes; Suzanna Abraham; Sonja Nicholson; Ruby Baker; Polly Page
Journal:  Nutrients       Date:  2018-08-28       Impact factor: 5.717

6.  Impact of liver fat on the differential partitioning of hepatic triacylglycerol into VLDL subclasses on high and low sugar diets.

Authors:  A Margot Umpleby; Fariba Shojaee-Moradie; Barbara Fielding; Xuefei Li; Andrea Marino; Najlaa Alsini; Cheryl Isherwood; Nicola Jackson; Aryati Ahmad; Michael Stolinski; Julie A Lovegrove; Sigurd Johnsen; A S Jeewaka R Mendis; John Wright; Malgorzata E Wilinska; Roman Hovorka; Jimmy D Bell; E Louise Thomas; Gary S Frost; Bruce A Griffin
Journal:  Clin Sci (Lond)       Date:  2017-10-17       Impact factor: 6.124

7.  Free Sugar Consumption and Obesity in European Adolescents: The HELENA Study.

Authors:  Sondos M Flieh; Luis A Moreno; María L Miguel-Berges; Peter Stehle; Ascensión Marcos; Dénes Molnár; Kurt Widhalm; Laurent Béghin; Stefaan De Henauw; Anthony Kafatos; Catherine Leclercq; Marcela Gonzalez-Gross; Jean Dallongeville; Cristina Molina-Hidalgo; Esther M González-Gil
Journal:  Nutrients       Date:  2020-12-05       Impact factor: 5.717

8.  Common risk factor approach to address socioeconomic inequality in the oral health of preschool children--a prospective cohort study.

Authors:  Loc G Do; Jane A Scott; W Murray Thomson; John W Stamm; Andrew J Rugg-Gunn; Steven M Levy; Ching Wong; Gemma Devenish; Diep H Ha; A John Spencer
Journal:  BMC Public Health       Date:  2014-05-06       Impact factor: 3.295

9.  Energy compensation following consumption of sugar-reduced products: a randomized controlled trial.

Authors:  Oonagh Markey; Julia Le Jeune; Julie A Lovegrove
Journal:  Eur J Nutr       Date:  2015-09-09       Impact factor: 5.614

Review 10.  A review of sugar consumption from nationally representative dietary surveys across the world.

Authors:  K J Newens; J Walton
Journal:  J Hum Nutr Diet       Date:  2015-10-10       Impact factor: 3.089

  10 in total

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