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Modelling of usual nutrient intakes: potential impact of the choices programme on nutrient intakes in young dutch adults.

Roodenburg AJ, van Ballegooijen AJ, Dötsch-Klerk M, van der Voet H, Seidell JC - PLoS ONE (2013)

Bottom Line: Three scenarios were calculated: the "actual intakes" (scenario 1) were compared to scenario 2, where all foods that did not comply were replaced by similar foods that did comply with the Choices criteria.Intakes of nutrients with a maximal intake limit were also reduced (ranging from -23% for sodium and -62% for TFA).Effects on intakes of beneficial nutrients varied from an unintentional reduction in fat soluble vitamin intakes (-15 to -28%) to an increase of 28% for fibre and 17% calcium.

View Article: PubMed Central - PubMed

Affiliation: Unilever Research & Development Vlaardingen, Unilever, Vlaardingen, The Netherlands ; Department of Health Sciences, VU University Amsterdam, Amsterdam, The Netherlands ; Sector Food, HAS University of Applied Sciences, Den Bosch, The Netherlands.

ABSTRACT

Introduction: The Choices Programme is an internationally applicable nutrient profiling system with nutrition criteria for trans fatty acids (TFA), saturated fatty acids, sodium, added sugar and for some product groups energy and fibre. These criteria determine whether foods are eligible to carry a "healthier option" stamp. In this paper a nutrient intake modelling method is described to evaluate these nutritional criteria by investigating the potential effect on nutrient intakes.

Methods: Data were combined from the 2003 Dutch food consumption survey in young adults (aged 19-30) and the Dutch food composition table into the Monte Carlo Risk Assessment model. Three scenarios were calculated: the "actual intakes" (scenario 1) were compared to scenario 2, where all foods that did not comply were replaced by similar foods that did comply with the Choices criteria. Scenario 3 was the same as scenario 2 adjusted for the difference in energy density between the original and replacement food. Additional scenarios were calculated where snacks were not or partially replaced and stratified analyses for gender, age, Body Mass Index (BMI) and education.

Results: Calculated intake distributions showed that median energy intake was reduced by 16% by replacing normally consumed foods with Choices compliant foods. Intakes of nutrients with a maximal intake limit were also reduced (ranging from -23% for sodium and -62% for TFA). Effects on intakes of beneficial nutrients varied from an unintentional reduction in fat soluble vitamin intakes (-15 to -28%) to an increase of 28% for fibre and 17% calcium. Stratified analyses in this homogeneous study population showed only small differences across gender, age, BMI and education.

Conclusions: This intake modelling method showed that with consumption of Choices compliant foods, nutrient intakes shift towards population intake goals for the nutrients for which nutrition criteria were defined, while effects on beneficial nutrients were diverse.

Show MeSH
Potential impact on nutrient intakes.Results are expressed as percentage change in median intakes for macronutrients (A) and micronutrients (B) if the Dutch population (aged 19–30) would eat ‘only’ foods that comply with Choices (with and without adjustment for differences in energy density) as compared to the “actual” intake. Assuming a normal distribution, median values approximate average intake levels. SAFA: saturated fatty acids, TFA: trans fatty acids, MUFA: mono unsaturated fatty acids, PUFA: poly unsaturated fatty acids.
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pone-0072378-g002: Potential impact on nutrient intakes.Results are expressed as percentage change in median intakes for macronutrients (A) and micronutrients (B) if the Dutch population (aged 19–30) would eat ‘only’ foods that comply with Choices (with and without adjustment for differences in energy density) as compared to the “actual” intake. Assuming a normal distribution, median values approximate average intake levels. SAFA: saturated fatty acids, TFA: trans fatty acids, MUFA: mono unsaturated fatty acids, PUFA: poly unsaturated fatty acids.

Mentions: Figure 2a shows the percentage change in median nutrient intakes compared to the “actual” intake scenario for energy, fat, SAFA, TFA, sodium, total sugar, fibre and also for protein, total carbohydrates, monounsaturated fatty acids (MUFA) and polyunsaturated fatty acids (PUFA). A reduction was seen for energy intake (−16%), as well as for nutrients with a maximal intake limit (between −23% for sodium and −62% for TFA); but also for total carbohydrates (−16%), MUFA (−31%) and PUFA (−8%). When the data were adjusted for energy intake, these reductions were still present, but reversed for PUFA (+2%).


Modelling of usual nutrient intakes: potential impact of the choices programme on nutrient intakes in young dutch adults.

Roodenburg AJ, van Ballegooijen AJ, Dötsch-Klerk M, van der Voet H, Seidell JC - PLoS ONE (2013)

Potential impact on nutrient intakes.Results are expressed as percentage change in median intakes for macronutrients (A) and micronutrients (B) if the Dutch population (aged 19–30) would eat ‘only’ foods that comply with Choices (with and without adjustment for differences in energy density) as compared to the “actual” intake. Assuming a normal distribution, median values approximate average intake levels. SAFA: saturated fatty acids, TFA: trans fatty acids, MUFA: mono unsaturated fatty acids, PUFA: poly unsaturated fatty acids.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3756057&req=5

pone-0072378-g002: Potential impact on nutrient intakes.Results are expressed as percentage change in median intakes for macronutrients (A) and micronutrients (B) if the Dutch population (aged 19–30) would eat ‘only’ foods that comply with Choices (with and without adjustment for differences in energy density) as compared to the “actual” intake. Assuming a normal distribution, median values approximate average intake levels. SAFA: saturated fatty acids, TFA: trans fatty acids, MUFA: mono unsaturated fatty acids, PUFA: poly unsaturated fatty acids.
Mentions: Figure 2a shows the percentage change in median nutrient intakes compared to the “actual” intake scenario for energy, fat, SAFA, TFA, sodium, total sugar, fibre and also for protein, total carbohydrates, monounsaturated fatty acids (MUFA) and polyunsaturated fatty acids (PUFA). A reduction was seen for energy intake (−16%), as well as for nutrients with a maximal intake limit (between −23% for sodium and −62% for TFA); but also for total carbohydrates (−16%), MUFA (−31%) and PUFA (−8%). When the data were adjusted for energy intake, these reductions were still present, but reversed for PUFA (+2%).

Bottom Line: Three scenarios were calculated: the "actual intakes" (scenario 1) were compared to scenario 2, where all foods that did not comply were replaced by similar foods that did comply with the Choices criteria.Intakes of nutrients with a maximal intake limit were also reduced (ranging from -23% for sodium and -62% for TFA).Effects on intakes of beneficial nutrients varied from an unintentional reduction in fat soluble vitamin intakes (-15 to -28%) to an increase of 28% for fibre and 17% calcium.

View Article: PubMed Central - PubMed

Affiliation: Unilever Research & Development Vlaardingen, Unilever, Vlaardingen, The Netherlands ; Department of Health Sciences, VU University Amsterdam, Amsterdam, The Netherlands ; Sector Food, HAS University of Applied Sciences, Den Bosch, The Netherlands.

ABSTRACT

Introduction: The Choices Programme is an internationally applicable nutrient profiling system with nutrition criteria for trans fatty acids (TFA), saturated fatty acids, sodium, added sugar and for some product groups energy and fibre. These criteria determine whether foods are eligible to carry a "healthier option" stamp. In this paper a nutrient intake modelling method is described to evaluate these nutritional criteria by investigating the potential effect on nutrient intakes.

Methods: Data were combined from the 2003 Dutch food consumption survey in young adults (aged 19-30) and the Dutch food composition table into the Monte Carlo Risk Assessment model. Three scenarios were calculated: the "actual intakes" (scenario 1) were compared to scenario 2, where all foods that did not comply were replaced by similar foods that did comply with the Choices criteria. Scenario 3 was the same as scenario 2 adjusted for the difference in energy density between the original and replacement food. Additional scenarios were calculated where snacks were not or partially replaced and stratified analyses for gender, age, Body Mass Index (BMI) and education.

Results: Calculated intake distributions showed that median energy intake was reduced by 16% by replacing normally consumed foods with Choices compliant foods. Intakes of nutrients with a maximal intake limit were also reduced (ranging from -23% for sodium and -62% for TFA). Effects on intakes of beneficial nutrients varied from an unintentional reduction in fat soluble vitamin intakes (-15 to -28%) to an increase of 28% for fibre and 17% calcium. Stratified analyses in this homogeneous study population showed only small differences across gender, age, BMI and education.

Conclusions: This intake modelling method showed that with consumption of Choices compliant foods, nutrient intakes shift towards population intake goals for the nutrients for which nutrition criteria were defined, while effects on beneficial nutrients were diverse.

Show MeSH