Review of methods used to estimate non-milk extrinsic sugars

Enabling Informed Decision Making in the Absence of Detailed Nutrition Labels: A Model to Estimate the Added Sugar Content of Foods

Obesity and diabetes have emerged as an increasing threat to public health, and the consumption of added sugar can contribute to their development. Though nutritional content information can positively influence consumption behavior, added sugar is not currently required to be disclosed in all countries. However, a growing proportion of the world's population has access to mobile devices, which allow for the development of digital solutions to support health-related decisions and behaviors. To test whether advances in computational science can be leveraged to develop an accurate and scalable model to estimate the added sugar content of foods based on their nutrient profile, we collected comprehensive nutritional information, including information on added sugar content, for 69,769 foods. Eighty percent of this data was used to train a gradient boosted tree model to estimate added sugar content, while 20% of it was held out to assess the predictive accuracy of the model. The performance of the resulting model showed 93.25% explained variance per default portion size (84.32% per 100 kcal). The mean absolute error of the estimate was 0.84 g per default portion size (0.81 g per 100 kcal). This model can therefore be used to deliver accurate estimates of added sugar through digital devices in countries where the information is not disclosed on packaged foods, thus enabling consumers to be aware of the added sugar content of a wide variety of foods.

A Machine Learning Approach to Predict the Added-Sugar Content of Packaged Foods

BACKGROUND

Dietary guidelines recommend limiting the intake of added sugars. However, despite the public health importance, most countries have not mandated the labeling of added-sugar content on packaged foods and beverages, making it difficult for consumers to avoid products with added sugar, and limiting the ability of policymakers to identify priority products for intervention.

OBJECTIVE

The aim was to develop a machine learning approach for the prediction of added-sugar content in packaged products using available nutrient, ingredient, and food category information.

METHODS

The added-sugar prediction algorithm was developed using k-nearest neighbors (KNN) and packaged food information from the US Label Insight dataset (n = 70,522). A synthetic dataset of Australian packaged products (n = 500) was used to assess validity and generalization. Performance metrics included the coefficient of determination (R2), mean absolute error (MAE), and Spearman rank correlation (ρ). To benchmark the KNN approach, the KNN approach was compared with an existing added-sugar prediction approach that relies on a series of manual steps.

RESULTS

Compared with the existing added-sugar prediction approach, the KNN approach was similarly apt at explaining variation in added-sugar content (R2 = 0.96 vs. 0.97, respectively) and ranking products from highest to lowest in added-sugar content (ρ = 0.91 vs. 0.93, respectively), while less apt at minimizing absolute deviations between predicted and true values (MAE = 1.68 g vs. 1.26 g per 100 g or 100 mL, respectively).

CONCLUSIONS

KNN can be used to predict added-sugar content in packaged products with a high degree of validity. Being automated, KNN can easily be applied to large datasets. Such predicted added-sugar levels can be used to monitor the food supply and inform interventions aimed at reducing added-sugar intake.

Intakes and sources of dietary sugars and their association with metabolic and inflammatory markers

BACKGROUND & AIMS

Associations of dietary sugars with metabolic and inflammatory markers may vary according to the source of the sugars. The aim of this study was to examine the association of dietary sugars from different sources [beverages (liquids), foods (solids), extrinsic (free) or intrinsic (non-free)] with metabolic and inflammatory markers.

METHODS

Population-based cross-sectional study of adults in the East of England (n = 9678). Sugar intakes were estimated using food frequency questionnaires. Fasting glycated haemoglobin, glucose, insulin, and C-Reactive Protein (CRP) were measured and indices of metabolic risk were derived (homeostatic model of insulin resistance, HOMA-IR and metabolic risk z-score).

RESULTS

In multiple linear regression analyses adjusted for potential confounders including BMI and TEI, sugars from liquids were positively associated with ln-CRP [b-coefficient (95%CI), 0.14 (0.05,0.22) per 10%TEI] and metabolic risk z-score [0.13 (0.07,0.18)]. Free sugars were positively associated with ln-HOMA-IR [0.05 (0.03,0.08)] and metabolic risk z-score [0.09 (0.06,0.12)]. Sugars from solids were not associated with any outcome. Among major dietary contributors to intakes (g/d), sugars in fruit, vegetables, dairy products/egg dishes, cakes/biscuits/confectionary and squash/juice drinks were not associated, but sugar added to tea, coffee, cereal was significantly positively associated with all outcomes. Sugars in 100% juice [0.16 (0.06,0.25) per 10%TEI] and other non-alcoholic beverages [0.13 (0.03,0.23)] were positively associated with metabolic risk z-score.

CONCLUSION

Higher intakes of sugars from non-alcoholic beverages and sugar added to tea, coffee, cereal were associated with glycaemia and inflammatory markers. Sugars from solids were not associated, irrespective of whether they were intrinsic or extrinsic. Positive associations of free sugars were largely explained by contribution of beverages to intake.

Sugar-Sweetened Beverages Are the Main Sources of Added Sugar Intake in the Mexican Population

BACKGROUND

Sugar intake has been associated with an increased prevalence of obesity, other noncommunicable diseases, and dental caries. The WHO recommends that free sugars should be <10% of total energy intake (TEI) and that additional health benefits could be obtained with a reduction below 5% of TEI.

OBJECTIVE

The objective of this study was to estimate the total, intrinsic, and added sugar intake in the Mexican diet and to identify the food groups that are the main sources of these sugars.

METHODS

We used data from a national probabilistic survey [ENSANUT (National Health and Nutrition Survey) 2012], which represents 3 geographic regions and urban and rural areas. Dietary information was obtained by administering a 24-h recall questionnaire to 10,096 participants. Total sugar intake was estimated by using the National Institute of Public Health (INSP) food-composition table and an established method to estimate added sugars.

RESULTS

The mean intakes of total, intrinsic, and added sugars were 365, 127, and 238 kcal/d, respectively. Added sugars contributed 13% of TEI. Sugar-sweetened beverages (SSBs) were the main source of sugars, contributing 69% of added sugars. Food products high in saturated fat and/or added sugar (HSFAS) were the second main sources of added sugars, contributing 25% of added sugars.

CONCLUSIONS

The average intake of added sugars in the Mexican diet is higher than WHO recommendations, which may partly explain the high prevalence of obesity and diabetes in Mexico. Because SSBs and HSFAS contribute >94% of total added sugars, strategies to reduce their intake should be strengthened. This includes stronger food labels to warn the consumer about the content of added sugars in foods and beverages.

Dietary intake and food sources of added sugar in the Australian population

Previous studies in Australian children/adolescents and adults examining added sugar (AS) intake were based on now out-of-date national surveys. We aimed to examine the AS and free sugar (FS) intakes and the main food sources of AS among Australians, using plausible dietary data collected by a multiple-pass, 24-h recall, from the 2011–12 Australian Health Survey respondents (n 8202). AS and FS intakes were estimated using a previously published method, and as defined by the WHO, respectively. Food groups contributing to the AS intake were described and compared by age group and sex by one-way ANOVA. Linear regression was used to test for trends across age groups. Usual intake of FS (as percentage energy (%EFS)) was computed using a published method and compared with the WHO cut-off of <10 %EFS. The mean AS intake of the participants was 60·3 (sd 52·6) g/d. Sugar-sweetened beverages accounted for the greatest proportion of the AS intake of the Australian population (21·4 (sd 30·1) %), followed by sugar and sweet spreads (16·3 (sd 24·5) %) and cakes, biscuits, pastries and batter-based products (15·7 (sd 24·4) %). More than half of the study population exceeded the WHO’s cut-off for FS, especially children and adolescents. Overall, 80–90 % of the daily AS intake came from high-sugar energy-dense and/or nutrient-poor foods. To conclude, the majority of Australian adults and children exceed the WHO recommendation for FS intake. Efforts to reduce AS intake should focus on energy-dense and/or nutrient-poor foods.

Sugars and Dental Caries: Evidence for Setting a Recommended Threshold for Intake

Dental caries affects ≤80% of the world's population with almost a quarter of US adults having untreated caries. Dental caries is costly to health care and negatively affects well-being. Dietary free sugars are the most important risk factor for dental caries. The WHO has issued guidelines that recommend intake of free sugars should provide ≤10% of energy intake and suggest further reductions to <5% of energy to protect dental health throughout life. These recommendations were informed by a systematic review of the evidence pertaining to amount of sugars and dental caries risk, which showed evidence of moderate quality from cohort studies that limiting free sugars to ≤10% of energy reduced, but did not eliminate, dental caries. Even low levels of dental caries in children are of concern because caries is a lifelong progressive and cumulative disease. The systematic review therefore explored if there were further benefits to dental health if the intake of free sugars was limited to <5% of energy. Available data were from ecologic studies and, although classified as being of low quality, showed lower dental caries when free sugar intake was <5% of energy compared with when it was >5% but ≤10% of energy. The WHO recommendations are intended for use by policy makers as a benchmark when assessing intake of sugars by populations and as a driving force for policy change. Multiple strategies encompassing both upstream and downstream preventive approaches are now required to translate the recommendations into policy and practice.

A systematic methodology to estimate added sugar content of foods

BACKGROUND/OBJECTIVES

The effect of added sugar on health is a topical area of research. However, there is currently no analytical or other method to easily distinguish between added sugars and naturally occurring sugars in foods. This study aimed to develop a systematic methodology to estimate added sugar values on the basis of analytical data and ingredients of foods.

SUBJECTS/METHODS

A 10-step, stepwise protocol was developed, starting with objective measures (six steps) and followed by more subjective estimation (four steps) if insufficient objective data are available. The method developed was applied to an Australian food composition database (AUSNUT2007) as an example.

RESULTS

Out of the 3874 foods available in AUSNUT2007, 2977 foods (77%) were assigned an estimated value on the basis of objective measures (steps 1-6), and 897 (23%) were assigned a subjectively estimated value (steps 7-10). Repeatability analysis showed good repeatability for estimated values in this method.

CONCLUSIONS

We propose that this method can be considered as a standardised approach for the estimation of added sugar content of foods to improve cross-study comparison.

Availability of added sugars in Brazil: distribution, food sources and time trends

OBJECTIVE

To describe the regional and socio-economic distribution of consumption of added sugar in Brazil in 2002/03, particularly products, sources of sugar and trends in the past 15 years.

METHODS

The study used data from Household Budget Surveys since the 1980s about the type and quantity of food and beverages bought by Brazilian families. Different indicators were analyzed: % of sugar calories over the total diet energy and caloric % of table sugar fractions and sugar added to processed food/ sugar calories of diet.

RESULTS

In 2002/03, of the total energy available for consumption, 16.7% came from added sugar in all regional and socio-economic strata. The table sugar/ sugar added to processed food ratio was inversely proportional to increase in income. Although this proportion fell in the past 15 years, sugar added to processed food doubled, especially in terms of consumption of soft drinks and cookies.

CONCLUSIONS

Brazilians consume more sugar than the recommended levels determined by the WHO and the sources of consumption of sugar have changed significantly.

Maternal communication style, problem-solving and dietary adherence in young children with type 1 diabetes

The incidence of type 1 diabetes (T1D) in young children is increasing markedly however young children have been overlooked in paediatric adherence research despite the unique challenges their care presents. We investigated the relation between maternal communication style and adherence to the dietary regimen in 40 children with T1D, aged 2-8 years, and their mothers. Mothers completed measures of children's sugar consumption, parent-child communication quality, and child psychological functioning. Mothers and children engaged in a videotaped problem-solving task related to the dietary regimen, with maternal utterances analysed for behavioural control style (e.g., commands versus suggestions) and cognitive complexity (e.g., provision of labels versus questions). Maternal communications which engaged children, behaviourally and cognitively, in the task were associated with better adherence, medical, communication quality, and child adjustment outcomes. We conclude that adherence and health (medical and psychological) are optimized when young children are given opportunities to participate in their care.

Sources of total, non-milk extrinsic, and intrinsic and milk sugars in the diets of older adults living in sheltered accommodation

The WHO recommends limiting non-milk extrinsic sugars (NMES) consumption to < or = 10 % energy to reduce the risk of unhealthy weight gain and dental caries, and to restrict frequency of intake to < or = 4 times/d to reduce risk of dental caries. Older adults, especially those from low-income backgrounds, are at increased risk of dental caries, yet there is little information on sugars intake (frequency of intake and food sources) in this age group. The aim of this report is to present baseline data from a community-based dietary intervention study of older adults from socially deprived areas of North East England, on the quantity and sources of total sugars, NMES, and intrinsic and milk sugars, and on frequency of NMES intake. Dietary intake was assessed using two 3-d estimated food diaries, completed by 201 participants (170 female, thirty-one male) aged 65-85 years (mean 76.7 (sd 5.5) years) recruited from sheltered housing schemes. Total sugars represented 19.6 %, NMES 9.3 %, and intrinsic and milk sugars 10.3 % of daily energy intake. Eighty-one (40.3 %) exceeded the NMES intake recommendation. Mean frequency of NMES intake was 3.4 times/d. The fifty-three participants (26.4 %) who exceeded the frequency recommendation ( < or = 4 times/d) obtained a significantly greater percentage of energy from NMES compared with those participants who met the recommendation. The food groups 'biscuits and cakes' (18.9 %), 'soft drinks' (13.1 %) and 'table sugar' (11.1 %) made the greatest contributions to intakes of NMES. Interventions to reduce NMES intake should focus on limiting quantity and frequency of intake of these food groups.

Changes in consumption of sugars by English adolescents over 20 years

OBJECTIVE

Dietary surveys of 11- to 12-year-old Northumbrian children in 1980 and 1990 revealed that consumption of non-milk extrinsic sugars (NMES) was 16-17% of energy intake. This study reports dietary sugars consumption in 2000 and compares it with data collected in 1980 and 1990, using identical methods.

DESIGN

A repeat cross-sectional dietary survey of children aged 1-12 years attending the same schools as in the 1980 and 1990 surveys.

SETTING

Seven middle schools in south Northumberland.

SUBJECTS

All children aged 11-12 years old attending the seven schools.

METHOD

Food consumption was recorded using two 3-day diet diaries. Food composition tables were used to calculate energy and nutrient intakes. NMES, and milk and intrinsic sugars were calculated using previously described methods.

RESULTS

The numbers of children completing the surveys in 1980, 1990 and 2000 were 405, 379 and 424, respectively; approximately 60-70% of eligible children. Total sugars provided 22% of energy consistently over the three surveys. NMES consumption in 2000 provided 16% of energy compared with 16% in 1980 and 17% in 1990. Sources of NMES changed over the three surveys. NMES from soft drinks doubled from 15 to 31 g day(-1), and from breakfast cereals increased from 2 to 7 g day(-1) over the 20 years. Confectionery and soft drinks provided 61% of NMES. Over 20 years, the proportion of energy from fat decreased by 5% and from starch increased by 4%, creating a welcome tilt in the fat-starch see-saw, without an adverse effect on sugars intake.

CONCLUSIONS

Consumption of NMES in 2000 was substantially higher than recommended, and there has been little change over 20 years. Continued and coordinated efforts are required at a national, community and individual level to reduce the intake of NMES.

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

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.

Predictors of treatment adherence in young children with type 1 diabetes

AIM

This paper reports a study to investigate whether diabetes-specific, demographic and psychosocial variables predict adherence in young children with type 1 diabetes.

BACKGROUND

Paediatric diabetes rates are increasing worldwide; however, young children are neglected in treatment adherence research, despite the importance of adherence for health. Greater understanding of adherence in this group could enhance nurses' ability to provide care tailored to families' needs.

METHOD

A cross-sectional study was carried out between 2001 and 2003 with 65 children aged 2-8 years and their mothers in Britain. Mothers were interviewed about children's diabetes care, nutritional analyses were conducted and mothers completed assessments of diabetes knowledge, parenting stress, family functioning and child psychological adjustment. Demographic and medical information was collected from patient records.

FINDINGS

Consistent with older populations, blood glucose monitoring and dietary regimens showed greater adherence variability than injection frequency and injection time consistency. Better maternal diabetes knowledge correlated with less injection time variability, more frequent blood glucose monitoring, lower percentage energy intake from extrinsic sugars, lower glycosylated haemoglobin levels and fewer relationship difficulties. Longer diabetes duration, greater injection time variability and higher percentage energy intake from extrinsic sugars predicted less frequent blood glucose monitoring. More relationship difficulties and less frequent blood glucose monitoring predicted higher percentage energy intake from extrinsic sugars.

CONCLUSIONS

Nurses can facilitate treatment adherence through provision of educational, practical and socio-emotional support. Nursing interventions should target blood glucose monitoring and dietary regimens in particular, and nurses should be sensitive to the various caretaking challenges presented to parents by different components of the diabetes regimen.