A comparison of the nutritional quality of organic and conventional ready-to-eat breakfast cereals based on NuVal scores
Bibliographic Data
| ID | 15096097 |
|---|---|
| Authors | Nancy J Woodbury (Florida International University, corresponding author), Valérie George (Florida International University), Valerie A George |
| Year | 2014 |
| Volume | 17 |
| Issue | 7 |
| Pages | 1454-1458 |
| Publication date | 2014-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Public Health Nutrition (JOURNAL) |
| Journal identifiers | ISSN: 1368-9800 • E-ISSN: 1475-2727 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1368980013001456 |
| PMID | 23714263 |
| OpenAlex | W2118257786 |
| Language | EN |
| Citations received | 2 |
| References cited | 14 |
Objective To identify whether there were differences in nutritional quality between organic and conventional ready-to-eat breakfast cereals of similar types, based on NuVal scores. Design The current descriptive study analysed NuVal scores for 829 ready-to-eat breakfast cereals and eighteen different cereal types. ANOVA was used to compare the mean NuVal scores of 723 conventional cereals with those of 106 organic cereals. Setting Ready-to-eat breakfast cereals ( n 829) with NuVal scores. Subjects Not applicable. Results There was no significant difference in NuVal scores between conventional (mean 28·4 ( sd 13·4)) and organic (mean 30·6 ( sd 13·2)) cereal types. Conclusions Consumers who choose the organic version of a ready-to-eat breakfast cereal believing that nutritional quality is superior may not be making a valid assumption. Public health nutrition educators must help consumers understand that organic cereals are not necessarily more nutritious and their consumption could result in excessive intake of undesirable nutrients, such as fat, sugar and sodium
Biology · Breakfast cereal · Environmental health · Nutrient · Significant difference · Statistics · Sugar · Consumer Attitudes and Food Labeling · Mathematics · Medicine · Organic Food and Agriculture · Sensory Analysis and Statistical Methods · Biotechnology · Food Science · Toxicology
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| Citations per year | 0.2 |
|---|---|
| Citation span | 2016 - 2026 (11) |
| Highly cited | No |