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The Brazilian population consumes larger serving sizes than those informed on labels
journal contribution
posted on 2015-01-01, 00:00 authored by M V Dos Santos Kraemer, Priscila MachadoPriscila Machado, N Kliemann, D Alejandro GonzáLez Chica, R Pacheco Da Costa ProençAPurpose – The purpose of this paper is to relate average serving size intake by the Brazilian population and declared serving size, the presence of trans fat and household measure fractioning declared on labels of processed, and ultra-processed food products. Design/methodology/approach – Cross-sectional study that analyzed the food labelling of all processed and ultra-processed food products sold in a supermarket in southern Brazil. Findings – A total of 1,071 processed and ultra-processed food products were analyzed. In 88 per cent of food groups, the average serving size consumed was larger than what was declared on labels. Consumed serving size was up to 9.2 times larger than the declared ones in food products with trans fat among their ingredients list and in false negatives and up to 9.9 times larger in foods with fractioned household measure (po0.001). The Brazilian population consumes, on average, larger serving sizes than those declared on labels, which may represent a significant intake of trans fats without the consumers’ noticing. Originality/value – This study has been performed with the use of a national database on food consumption, as well as the information from a large number of processed and ultra-processed food labels marketed in Brazil. This study is also proven to be important and novel, contributing with information as to the manner in which nutrition labelling has been presented to Brazilian consumers, discussing its possible consequences for food choices, intake, and the guarantee of consumer rights.
History
Journal
British food journalVolume
117Issue
2Pagination
719 - 730Publisher
EmeraldLocation
Bingley, EngPublisher DOI
ISSN
0007-070XLanguage
engPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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