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Non-Milk Extrinsic Sugars Intake and Food and Nutrient Consumption Patterns among Adolescents in the UK National Diet and Nutrition Survey, Years 2008-16.

ABSTRACT: The revised guidelines from the Department of Health (DoH) in the UK state that mean population intakes of free sugars should be below 5% of the total energy (TE) consumption of the British population. However, very few studies have assessed the impact of this recommendation on diet quality in the UK. We explored the dietary patterns and intakes of micronutrients of British adolescents with low intakes of non-milk extrinsic sugars (NMES) (similar to free sugars but not equal, with slight differences in the categorisation of fruit sugars from dried, stewed or canned fruit and smoothies), using the National Diet and Nutrition Survey Rolling Programme, years 1-8 (NDNS RP). The sample included 2587 adolescents aged 11-18 years. Four percent (112) of adolescents reported consuming 5% or lower NMES as a proportion of TE. The odds of being categorised as a low-sugar consumer in adolescents (≤5% TE from NMES) were significantly lower with higher intakes of sweetened drinks, fruit juice, cakes, biscuits, sugar and sweet spreads, chocolate confectionery and sugar confectionery, and significantly higher with higher intakes of pasta and rice, wholemeal and brown bread, and fish. Across the five categories of NMES intakes, micronutrient intakes were lowest for those consuming either ≤5% TE or more than 20% TE from NMES, and optimal for those consuming between 10-15% of energy from NMES. These findings confirm the difficulties of meeting the free sugars recommended intake for adolescents. Care needs to be taken to ensure that an adequate consumption of micronutrients is achieved in those adhering to the revised guidelines on free sugars.

SUBMITTER: Lai HT

PROVIDER: S-EPMC6682974 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:This study aims at combining time and quantity of carbohydrate (CH) intake in the definition of eating patterns in UK adults and investigating the association of the derived patterns with type 2 diabetes (T2D). The National Diet and Nutrition Survey (NDNS) Rolling Program included 6155 adults in the UK. Time of the day was categorized into 7 pre-defined time slots: 6-9 am, 9-12 noon, 12-2 pm, 2-5 pm, 5-8 pm, 8-10 pm, and 10 pm-6 am. Responses for CH intake were categorized into: no energy intake, CH <50% or ?50% of total energy. Non-parametric multilevel latent class analysis (MLCA) was applied to identify eating patterns of CH consumption across day-time, as a novel method accounting for the repeated measurements of intake over 3-4 days nested within individuals. Survey-designed multivariable regression was used to assess the associations of CH eating patterns with T2D. Three CH eating day patterns (low, high CH percentage and frequent CH intake day) emerged from 24,483 observation days; based on which three classes of CH eaters were identified and characterized as: low (28.1%), moderate (28.8%) and high (43.1%) CH eaters. On average, low-CH eaters consumed the highest amount of total energy intake (7985.8 kJ) and had higher percentages of energy contributed by fat and alcohol, especially after 8 pm. Moderate-CH eaters consumed the lowest amount of total energy (7341.8 kJ) while they tended to have their meals later in the day. High-CH eaters consumed most of their carbohydrates and energy earlier in the day and within the time slots of 6-9 am, 12-2 pm and 5-8 pm, which correspond to traditional mealtimes. The high-CH eaters profile had the highest daily intake of CH and fiber and the lowest intake of protein and fat. Low-CH eaters had greater odds than high-CH eaters of having T2D in self-reported but not in previously undiagnosed diabetics. Further research using prospective longitudinal studies is warranted to ascertain the direction of causality in the association of CH patterns with type 2 diabetes.

Project description:Background Knowledge about the nutrient intakes and food consumption in the Nordic and Baltic countries is important for the formulation of dietary reference values (DRVs) and food-based dietary guidelines (FBDGs), as part of the Nordic Nutrition Recommendations 2022 project (NNR2022). Objective To describe nutrient intake and food consumption at a broad level in the adult population of each Nordic and Baltic country. This paper also provides guidance on where to find more information on the nutrient intake and food consumption reported from each country. Design Information about the dietary surveys as well as the daily mean intakes was retrieved from the national dietary surveys in each of the Nordic and Baltic countries. Tabulation of the population intakes divided by sex for macronutrients, 20 micronutrients, and for the following broader food groups, Beverages, Cereals, Potatoes, Vegetables, Fruits and berries, Fish and seafood, Meat and meat products, Milk and dairy products, Cheese, Eggs, Fats and oils, and Sweets and sweet bakery products, was done. Results and Discussion The Nordic and Baltic countries share not only similarities but also differences in food consumption patterns, which is reflected in differences in average food consumption and nutrient intakes between the countries. This may be related to the dietary assessment method, prevalence of misreporting, and participation rates in the different dietary surveys. Other factors that may play a role are differences in the calculation procedures in the food composition databases and the definition of food groups. Conclusion The nutrient intake and, especially, food consumption differ between the Nordic and Baltic countries because of differences in food patterns and factors related to the dietary surveying, food grouping, and calculation procedures in each country. To facilitate future comparisons between countries, it would be of interest to harmonize food groupings and the age groups reported on.

Dataset Information

Non-Milk Extrinsic Sugars Intake and Food and Nutrient Consumption Patterns among Adolescents in the UK National Diet and Nutrition Survey, Years 2008-16.

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