2020
DOI: 10.3390/nu12092771
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An Assessment of Three Carbohydrate Metrics of Nutritional Quality for Packaged Foods and Beverages in Australia and Southeast Asia

Abstract: Carbohydrate quality is an aetiological factor of diet-related disease. Indices of carbohydrate quality featuring various ratios of carbohydrates-to-dietary fibre-to-sugar have been associated with improved product and/or diet quality in westernised countries. Carbohydrate intake is especially high in Asia Pacific. Thus, this study evaluated the ability of such carbohydrate metrics to discriminate the nutritional quality of carbohydrate-rich packaged foods and beverages in Australia, Malaysia, Singapore, Thail… Show more

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Cited by 6 publications
(3 citation statements)
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“…Likewise, after the exclusion of discretionary foods from WG estimations in the Australian National Nutrition and Physical Activity Survey, WG intake values decreased by approximately 1–5 g/d, especially among older children and adolescents [ 31 ]. Results from studies investigating how carbohydrate-rich foods meet nutrient profiling system and different ratios between carbohydrate, fiber, and free sugar also endorsed the importance of evaluating the nutrient content of these foods, which comprise a great variety of products [ 50 , 51 ]. We opted not to use a healthiness criterion to exclude grain foods containing WG in our analysis since the amount consumed was already too small, but it would be essential for labeling purposes to help consumers to make the best possible choices (i.e.…”
Section: Discussionmentioning
confidence: 99%
“…Likewise, after the exclusion of discretionary foods from WG estimations in the Australian National Nutrition and Physical Activity Survey, WG intake values decreased by approximately 1–5 g/d, especially among older children and adolescents [ 31 ]. Results from studies investigating how carbohydrate-rich foods meet nutrient profiling system and different ratios between carbohydrate, fiber, and free sugar also endorsed the importance of evaluating the nutrient content of these foods, which comprise a great variety of products [ 50 , 51 ]. We opted not to use a healthiness criterion to exclude grain foods containing WG in our analysis since the amount consumed was already too small, but it would be essential for labeling purposes to help consumers to make the best possible choices (i.e.…”
Section: Discussionmentioning
confidence: 99%
“…In a study assessing carbohydrate-based processed products from Australia and Southeast Asia, foods meeting the 10 : 1, 10 : 1:2, and 10 : 1|1 : 2 ratios were associated with higher levels of protein, fiber, iron, magnesium, zinc, potassium, selenium, and vitamins B1, B3, and B9 as well as lower levels total sugars, free sugars, saturated fat, trans fat and cholesterol, with all three variants identified to be equally effective in identifying nutritious variants of processed foods [25 ▪ ]. The study which focused on beverages also concluded the 10 : 1 ratio to be most pragmatic for identifying healthy beverages due to regulation-motivated formulation of low-sugar beverage variants employing synthetic fibers as bulking agents [25 ▪ ]. The evaluation of carbohydrate-based foods in the USA by Liu et al [19 ▪▪ ] found similarly encouraging results for all variations with the exception of the breakfast cereals category.…”
Section: Carbohydrate Quality Metrics For Products and Dietsmentioning
confidence: 96%
“…Products meeting any of these indexes of quality contained on average more energy, protein, unsaturated fat, B-vitamins (with the exception of vitamin B-12), iron, magnesium, and zinc and less total carbohydrate, added sugars, and sodium than products that did not meet any index of quality, indicating a globally higher nutritional value ( 51 ). Interestingly, a recent study showed that the 10:1 ratio proved to be applicable to beverages, showing that increasing the fiber content allows differentiation of the more nutritious products with a higher content of proteins and dietary fibers, as well as lower caloric content, added sugars, cholesterol, and sodium ( 57 ). These results demonstrated that this metric serves as an effective method to identify foods with a better nutritional quality.…”
Section: Introductionmentioning
confidence: 99%