Discriminating nutritional quality of foods using the 5-Color nutrition label in the French food market: consistency with nutritional recommendations

Purpose Our objectives were to assess the performance of the 5-Colour nutrition label (5-CNL) front-of-pack nutrition label based on the Food Standards Agency nutrient profiling system to discriminate nutritional quality of foods currently on the market in France and its consistency with French nutr...
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Autor*in:	Julia, Chantal [verfasserIn] Ducrot, Pauline Péneau, Sandrine Deschamps, Valérie Méjean, Caroline Fézeu, Léopold Touvier, Mathilde Hercberg, Serge Kesse-Guyot, Emmanuelle

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Nutrient profiling system Nutritional quality Nutritional label Discriminant performance

Anmerkung:	© Julia et al. 2015

Übergeordnetes Werk:	Enthalten in: Nutrition journal - London : BioMed Central, 2002, 14(2015), 1 vom: 28. Sept.
Übergeordnetes Werk:	volume:14 ; year:2015 ; number:1 ; day:28 ; month:09

Links:	Volltext

DOI / URN:	10.1186/s12937-015-0090-4

Katalog-ID:	SPR02867796X

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520			\|a Purpose Our objectives were to assess the performance of the 5-Colour nutrition label (5-CNL) front-of-pack nutrition label based on the Food Standards Agency nutrient profiling system to discriminate nutritional quality of foods currently on the market in France and its consistency with French nutritional recommendations. Methods Nutritional composition of 7777 foods available on the French market collected from the web-based collaborative project Open Food Facts were retrieved. Distribution of products across the 5-CNL categories according to food groups, as arranged in supermarket shelves was assessed. Distribution of similar products from different brands in the 5-CNL categories was also assessed. Discriminating performance was considered as the number of color categories present in each food group. In the case of discrepancies between the category allocation and French nutritional recommendations, adaptations of the original score were proposed. Results Overall, the distribution of foodstuffs in the 5-CNL categories was consistent with French recommendations: 95.4 % of ‘Fruits and vegetables’, 72.5 % of ‘Cereals and potatoes’ were classified as ‘Green’ or ‘Yellow’ whereas 86.0 % of ‘Sugary snacks’ were classified as ‘Pink’ or ‘Red’. Adaptations to the original FSA score computation model were necessary for beverages, added fats and cheese in order to be consistent with French official nutritional recommendations. Conclusion The 5-CNL label displays a high performance in discriminating nutritional quality of foods across food groups, within a food group and for similar products from different brands. Adaptations from the original model were necessary to maintain consistency with French recommendations and high performance of the system.
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allfields	10.1186/s12937-015-0090-4 doi (DE-627)SPR02867796X (SPR)s12937-015-0090-4-e DE-627 ger DE-627 rakwb eng Julia, Chantal verfasserin (orcid)0000-0003-2006-5269 aut Discriminating nutritional quality of foods using the 5-Color nutrition label in the French food market: consistency with nutritional recommendations 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Julia et al. 2015 Purpose Our objectives were to assess the performance of the 5-Colour nutrition label (5-CNL) front-of-pack nutrition label based on the Food Standards Agency nutrient profiling system to discriminate nutritional quality of foods currently on the market in France and its consistency with French nutritional recommendations. Methods Nutritional composition of 7777 foods available on the French market collected from the web-based collaborative project Open Food Facts were retrieved. Distribution of products across the 5-CNL categories according to food groups, as arranged in supermarket shelves was assessed. Distribution of similar products from different brands in the 5-CNL categories was also assessed. Discriminating performance was considered as the number of color categories present in each food group. In the case of discrepancies between the category allocation and French nutritional recommendations, adaptations of the original score were proposed. Results Overall, the distribution of foodstuffs in the 5-CNL categories was consistent with French recommendations: 95.4 % of ‘Fruits and vegetables’, 72.5 % of ‘Cereals and potatoes’ were classified as ‘Green’ or ‘Yellow’ whereas 86.0 % of ‘Sugary snacks’ were classified as ‘Pink’ or ‘Red’. Adaptations to the original FSA score computation model were necessary for beverages, added fats and cheese in order to be consistent with French official nutritional recommendations. Conclusion The 5-CNL label displays a high performance in discriminating nutritional quality of foods across food groups, within a food group and for similar products from different brands. Adaptations from the original model were necessary to maintain consistency with French recommendations and high performance of the system. Nutrient profiling system (dpeaa)DE-He213 Nutritional quality (dpeaa)DE-He213 Nutritional label (dpeaa)DE-He213 Discriminant performance (dpeaa)DE-He213 Ducrot, Pauline aut Péneau, Sandrine aut Deschamps, Valérie aut Méjean, Caroline aut Fézeu, Léopold aut Touvier, Mathilde aut Hercberg, Serge aut Kesse-Guyot, Emmanuelle aut Enthalten in Nutrition journal London : BioMed Central, 2002 14(2015), 1 vom: 28. Sept. (DE-627)355989441 (DE-600)2091602-4 1475-2891 nnns volume:14 year:2015 number:1 day:28 month:09 https://dx.doi.org/10.1186/s12937-015-0090-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2015 1 28 09
spelling	10.1186/s12937-015-0090-4 doi (DE-627)SPR02867796X (SPR)s12937-015-0090-4-e DE-627 ger DE-627 rakwb eng Julia, Chantal verfasserin (orcid)0000-0003-2006-5269 aut Discriminating nutritional quality of foods using the 5-Color nutrition label in the French food market: consistency with nutritional recommendations 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Julia et al. 2015 Purpose Our objectives were to assess the performance of the 5-Colour nutrition label (5-CNL) front-of-pack nutrition label based on the Food Standards Agency nutrient profiling system to discriminate nutritional quality of foods currently on the market in France and its consistency with French nutritional recommendations. Methods Nutritional composition of 7777 foods available on the French market collected from the web-based collaborative project Open Food Facts were retrieved. Distribution of products across the 5-CNL categories according to food groups, as arranged in supermarket shelves was assessed. Distribution of similar products from different brands in the 5-CNL categories was also assessed. Discriminating performance was considered as the number of color categories present in each food group. In the case of discrepancies between the category allocation and French nutritional recommendations, adaptations of the original score were proposed. Results Overall, the distribution of foodstuffs in the 5-CNL categories was consistent with French recommendations: 95.4 % of ‘Fruits and vegetables’, 72.5 % of ‘Cereals and potatoes’ were classified as ‘Green’ or ‘Yellow’ whereas 86.0 % of ‘Sugary snacks’ were classified as ‘Pink’ or ‘Red’. Adaptations to the original FSA score computation model were necessary for beverages, added fats and cheese in order to be consistent with French official nutritional recommendations. Conclusion The 5-CNL label displays a high performance in discriminating nutritional quality of foods across food groups, within a food group and for similar products from different brands. Adaptations from the original model were necessary to maintain consistency with French recommendations and high performance of the system. Nutrient profiling system (dpeaa)DE-He213 Nutritional quality (dpeaa)DE-He213 Nutritional label (dpeaa)DE-He213 Discriminant performance (dpeaa)DE-He213 Ducrot, Pauline aut Péneau, Sandrine aut Deschamps, Valérie aut Méjean, Caroline aut Fézeu, Léopold aut Touvier, Mathilde aut Hercberg, Serge aut Kesse-Guyot, Emmanuelle aut Enthalten in Nutrition journal London : BioMed Central, 2002 14(2015), 1 vom: 28. Sept. (DE-627)355989441 (DE-600)2091602-4 1475-2891 nnns volume:14 year:2015 number:1 day:28 month:09 https://dx.doi.org/10.1186/s12937-015-0090-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2015 1 28 09
allfields_unstemmed	10.1186/s12937-015-0090-4 doi (DE-627)SPR02867796X (SPR)s12937-015-0090-4-e DE-627 ger DE-627 rakwb eng Julia, Chantal verfasserin (orcid)0000-0003-2006-5269 aut Discriminating nutritional quality of foods using the 5-Color nutrition label in the French food market: consistency with nutritional recommendations 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Julia et al. 2015 Purpose Our objectives were to assess the performance of the 5-Colour nutrition label (5-CNL) front-of-pack nutrition label based on the Food Standards Agency nutrient profiling system to discriminate nutritional quality of foods currently on the market in France and its consistency with French nutritional recommendations. Methods Nutritional composition of 7777 foods available on the French market collected from the web-based collaborative project Open Food Facts were retrieved. Distribution of products across the 5-CNL categories according to food groups, as arranged in supermarket shelves was assessed. Distribution of similar products from different brands in the 5-CNL categories was also assessed. Discriminating performance was considered as the number of color categories present in each food group. In the case of discrepancies between the category allocation and French nutritional recommendations, adaptations of the original score were proposed. Results Overall, the distribution of foodstuffs in the 5-CNL categories was consistent with French recommendations: 95.4 % of ‘Fruits and vegetables’, 72.5 % of ‘Cereals and potatoes’ were classified as ‘Green’ or ‘Yellow’ whereas 86.0 % of ‘Sugary snacks’ were classified as ‘Pink’ or ‘Red’. Adaptations to the original FSA score computation model were necessary for beverages, added fats and cheese in order to be consistent with French official nutritional recommendations. Conclusion The 5-CNL label displays a high performance in discriminating nutritional quality of foods across food groups, within a food group and for similar products from different brands. Adaptations from the original model were necessary to maintain consistency with French recommendations and high performance of the system. Nutrient profiling system (dpeaa)DE-He213 Nutritional quality (dpeaa)DE-He213 Nutritional label (dpeaa)DE-He213 Discriminant performance (dpeaa)DE-He213 Ducrot, Pauline aut Péneau, Sandrine aut Deschamps, Valérie aut Méjean, Caroline aut Fézeu, Léopold aut Touvier, Mathilde aut Hercberg, Serge aut Kesse-Guyot, Emmanuelle aut Enthalten in Nutrition journal London : BioMed Central, 2002 14(2015), 1 vom: 28. Sept. (DE-627)355989441 (DE-600)2091602-4 1475-2891 nnns volume:14 year:2015 number:1 day:28 month:09 https://dx.doi.org/10.1186/s12937-015-0090-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2015 1 28 09
allfieldsGer	10.1186/s12937-015-0090-4 doi (DE-627)SPR02867796X (SPR)s12937-015-0090-4-e DE-627 ger DE-627 rakwb eng Julia, Chantal verfasserin (orcid)0000-0003-2006-5269 aut Discriminating nutritional quality of foods using the 5-Color nutrition label in the French food market: consistency with nutritional recommendations 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Julia et al. 2015 Purpose Our objectives were to assess the performance of the 5-Colour nutrition label (5-CNL) front-of-pack nutrition label based on the Food Standards Agency nutrient profiling system to discriminate nutritional quality of foods currently on the market in France and its consistency with French nutritional recommendations. Methods Nutritional composition of 7777 foods available on the French market collected from the web-based collaborative project Open Food Facts were retrieved. Distribution of products across the 5-CNL categories according to food groups, as arranged in supermarket shelves was assessed. Distribution of similar products from different brands in the 5-CNL categories was also assessed. Discriminating performance was considered as the number of color categories present in each food group. In the case of discrepancies between the category allocation and French nutritional recommendations, adaptations of the original score were proposed. Results Overall, the distribution of foodstuffs in the 5-CNL categories was consistent with French recommendations: 95.4 % of ‘Fruits and vegetables’, 72.5 % of ‘Cereals and potatoes’ were classified as ‘Green’ or ‘Yellow’ whereas 86.0 % of ‘Sugary snacks’ were classified as ‘Pink’ or ‘Red’. Adaptations to the original FSA score computation model were necessary for beverages, added fats and cheese in order to be consistent with French official nutritional recommendations. Conclusion The 5-CNL label displays a high performance in discriminating nutritional quality of foods across food groups, within a food group and for similar products from different brands. Adaptations from the original model were necessary to maintain consistency with French recommendations and high performance of the system. Nutrient profiling system (dpeaa)DE-He213 Nutritional quality (dpeaa)DE-He213 Nutritional label (dpeaa)DE-He213 Discriminant performance (dpeaa)DE-He213 Ducrot, Pauline aut Péneau, Sandrine aut Deschamps, Valérie aut Méjean, Caroline aut Fézeu, Léopold aut Touvier, Mathilde aut Hercberg, Serge aut Kesse-Guyot, Emmanuelle aut Enthalten in Nutrition journal London : BioMed Central, 2002 14(2015), 1 vom: 28. Sept. (DE-627)355989441 (DE-600)2091602-4 1475-2891 nnns volume:14 year:2015 number:1 day:28 month:09 https://dx.doi.org/10.1186/s12937-015-0090-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2015 1 28 09
allfieldsSound	10.1186/s12937-015-0090-4 doi (DE-627)SPR02867796X (SPR)s12937-015-0090-4-e DE-627 ger DE-627 rakwb eng Julia, Chantal verfasserin (orcid)0000-0003-2006-5269 aut Discriminating nutritional quality of foods using the 5-Color nutrition label in the French food market: consistency with nutritional recommendations 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Julia et al. 2015 Purpose Our objectives were to assess the performance of the 5-Colour nutrition label (5-CNL) front-of-pack nutrition label based on the Food Standards Agency nutrient profiling system to discriminate nutritional quality of foods currently on the market in France and its consistency with French nutritional recommendations. Methods Nutritional composition of 7777 foods available on the French market collected from the web-based collaborative project Open Food Facts were retrieved. Distribution of products across the 5-CNL categories according to food groups, as arranged in supermarket shelves was assessed. Distribution of similar products from different brands in the 5-CNL categories was also assessed. Discriminating performance was considered as the number of color categories present in each food group. In the case of discrepancies between the category allocation and French nutritional recommendations, adaptations of the original score were proposed. Results Overall, the distribution of foodstuffs in the 5-CNL categories was consistent with French recommendations: 95.4 % of ‘Fruits and vegetables’, 72.5 % of ‘Cereals and potatoes’ were classified as ‘Green’ or ‘Yellow’ whereas 86.0 % of ‘Sugary snacks’ were classified as ‘Pink’ or ‘Red’. Adaptations to the original FSA score computation model were necessary for beverages, added fats and cheese in order to be consistent with French official nutritional recommendations. Conclusion The 5-CNL label displays a high performance in discriminating nutritional quality of foods across food groups, within a food group and for similar products from different brands. Adaptations from the original model were necessary to maintain consistency with French recommendations and high performance of the system. Nutrient profiling system (dpeaa)DE-He213 Nutritional quality (dpeaa)DE-He213 Nutritional label (dpeaa)DE-He213 Discriminant performance (dpeaa)DE-He213 Ducrot, Pauline aut Péneau, Sandrine aut Deschamps, Valérie aut Méjean, Caroline aut Fézeu, Léopold aut Touvier, Mathilde aut Hercberg, Serge aut Kesse-Guyot, Emmanuelle aut Enthalten in Nutrition journal London : BioMed Central, 2002 14(2015), 1 vom: 28. Sept. (DE-627)355989441 (DE-600)2091602-4 1475-2891 nnns volume:14 year:2015 number:1 day:28 month:09 https://dx.doi.org/10.1186/s12937-015-0090-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2015 1 28 09
language	English
source	Enthalten in Nutrition journal 14(2015), 1 vom: 28. Sept. volume:14 year:2015 number:1 day:28 month:09
sourceStr	Enthalten in Nutrition journal 14(2015), 1 vom: 28. Sept. volume:14 year:2015 number:1 day:28 month:09
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Nutrient profiling system Nutritional quality Nutritional label Discriminant performance
isfreeaccess_bool	true
container_title	Nutrition journal
authorswithroles_txt_mv	Julia, Chantal @@aut@@ Ducrot, Pauline @@aut@@ Péneau, Sandrine @@aut@@ Deschamps, Valérie @@aut@@ Méjean, Caroline @@aut@@ Fézeu, Léopold @@aut@@ Touvier, Mathilde @@aut@@ Hercberg, Serge @@aut@@ Kesse-Guyot, Emmanuelle @@aut@@
publishDateDaySort_date	2015-09-28T00:00:00Z
hierarchy_top_id	355989441
id	SPR02867796X
language_de	englisch
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Methods Nutritional composition of 7777 foods available on the French market collected from the web-based collaborative project Open Food Facts were retrieved. Distribution of products across the 5-CNL categories according to food groups, as arranged in supermarket shelves was assessed. Distribution of similar products from different brands in the 5-CNL categories was also assessed. Discriminating performance was considered as the number of color categories present in each food group. In the case of discrepancies between the category allocation and French nutritional recommendations, adaptations of the original score were proposed. Results Overall, the distribution of foodstuffs in the 5-CNL categories was consistent with French recommendations: 95.4 % of ‘Fruits and vegetables’, 72.5 % of ‘Cereals and potatoes’ were classified as ‘Green’ or ‘Yellow’ whereas 86.0 % of ‘Sugary snacks’ were classified as ‘Pink’ or ‘Red’. Adaptations to the original FSA score computation model were necessary for beverages, added fats and cheese in order to be consistent with French official nutritional recommendations. Conclusion The 5-CNL label displays a high performance in discriminating nutritional quality of foods across food groups, within a food group and for similar products from different brands. 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author	Julia, Chantal
spellingShingle	Julia, Chantal misc Nutrient profiling system misc Nutritional quality misc Nutritional label misc Discriminant performance Discriminating nutritional quality of foods using the 5-Color nutrition label in the French food market: consistency with nutritional recommendations
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topic_title	Discriminating nutritional quality of foods using the 5-Color nutrition label in the French food market: consistency with nutritional recommendations Nutrient profiling system (dpeaa)DE-He213 Nutritional quality (dpeaa)DE-He213 Nutritional label (dpeaa)DE-He213 Discriminant performance (dpeaa)DE-He213
topic	misc Nutrient profiling system misc Nutritional quality misc Nutritional label misc Discriminant performance
topic_unstemmed	misc Nutrient profiling system misc Nutritional quality misc Nutritional label misc Discriminant performance
topic_browse	misc Nutrient profiling system misc Nutritional quality misc Nutritional label misc Discriminant performance
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title	Discriminating nutritional quality of foods using the 5-Color nutrition label in the French food market: consistency with nutritional recommendations
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title_full	Discriminating nutritional quality of foods using the 5-Color nutrition label in the French food market: consistency with nutritional recommendations
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author_browse	Julia, Chantal Ducrot, Pauline Péneau, Sandrine Deschamps, Valérie Méjean, Caroline Fézeu, Léopold Touvier, Mathilde Hercberg, Serge Kesse-Guyot, Emmanuelle
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title_sort	discriminating nutritional quality of foods using the 5-color nutrition label in the french food market: consistency with nutritional recommendations
title_auth	Discriminating nutritional quality of foods using the 5-Color nutrition label in the French food market: consistency with nutritional recommendations
abstract	Purpose Our objectives were to assess the performance of the 5-Colour nutrition label (5-CNL) front-of-pack nutrition label based on the Food Standards Agency nutrient profiling system to discriminate nutritional quality of foods currently on the market in France and its consistency with French nutritional recommendations. Methods Nutritional composition of 7777 foods available on the French market collected from the web-based collaborative project Open Food Facts were retrieved. Distribution of products across the 5-CNL categories according to food groups, as arranged in supermarket shelves was assessed. Distribution of similar products from different brands in the 5-CNL categories was also assessed. Discriminating performance was considered as the number of color categories present in each food group. In the case of discrepancies between the category allocation and French nutritional recommendations, adaptations of the original score were proposed. Results Overall, the distribution of foodstuffs in the 5-CNL categories was consistent with French recommendations: 95.4 % of ‘Fruits and vegetables’, 72.5 % of ‘Cereals and potatoes’ were classified as ‘Green’ or ‘Yellow’ whereas 86.0 % of ‘Sugary snacks’ were classified as ‘Pink’ or ‘Red’. Adaptations to the original FSA score computation model were necessary for beverages, added fats and cheese in order to be consistent with French official nutritional recommendations. Conclusion The 5-CNL label displays a high performance in discriminating nutritional quality of foods across food groups, within a food group and for similar products from different brands. Adaptations from the original model were necessary to maintain consistency with French recommendations and high performance of the system. © Julia et al. 2015
abstractGer	Purpose Our objectives were to assess the performance of the 5-Colour nutrition label (5-CNL) front-of-pack nutrition label based on the Food Standards Agency nutrient profiling system to discriminate nutritional quality of foods currently on the market in France and its consistency with French nutritional recommendations. Methods Nutritional composition of 7777 foods available on the French market collected from the web-based collaborative project Open Food Facts were retrieved. Distribution of products across the 5-CNL categories according to food groups, as arranged in supermarket shelves was assessed. Distribution of similar products from different brands in the 5-CNL categories was also assessed. Discriminating performance was considered as the number of color categories present in each food group. In the case of discrepancies between the category allocation and French nutritional recommendations, adaptations of the original score were proposed. Results Overall, the distribution of foodstuffs in the 5-CNL categories was consistent with French recommendations: 95.4 % of ‘Fruits and vegetables’, 72.5 % of ‘Cereals and potatoes’ were classified as ‘Green’ or ‘Yellow’ whereas 86.0 % of ‘Sugary snacks’ were classified as ‘Pink’ or ‘Red’. Adaptations to the original FSA score computation model were necessary for beverages, added fats and cheese in order to be consistent with French official nutritional recommendations. Conclusion The 5-CNL label displays a high performance in discriminating nutritional quality of foods across food groups, within a food group and for similar products from different brands. Adaptations from the original model were necessary to maintain consistency with French recommendations and high performance of the system. © Julia et al. 2015
abstract_unstemmed	Purpose Our objectives were to assess the performance of the 5-Colour nutrition label (5-CNL) front-of-pack nutrition label based on the Food Standards Agency nutrient profiling system to discriminate nutritional quality of foods currently on the market in France and its consistency with French nutritional recommendations. Methods Nutritional composition of 7777 foods available on the French market collected from the web-based collaborative project Open Food Facts were retrieved. Distribution of products across the 5-CNL categories according to food groups, as arranged in supermarket shelves was assessed. Distribution of similar products from different brands in the 5-CNL categories was also assessed. Discriminating performance was considered as the number of color categories present in each food group. In the case of discrepancies between the category allocation and French nutritional recommendations, adaptations of the original score were proposed. Results Overall, the distribution of foodstuffs in the 5-CNL categories was consistent with French recommendations: 95.4 % of ‘Fruits and vegetables’, 72.5 % of ‘Cereals and potatoes’ were classified as ‘Green’ or ‘Yellow’ whereas 86.0 % of ‘Sugary snacks’ were classified as ‘Pink’ or ‘Red’. Adaptations to the original FSA score computation model were necessary for beverages, added fats and cheese in order to be consistent with French official nutritional recommendations. Conclusion The 5-CNL label displays a high performance in discriminating nutritional quality of foods across food groups, within a food group and for similar products from different brands. Adaptations from the original model were necessary to maintain consistency with French recommendations and high performance of the system. © Julia et al. 2015
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title_short	Discriminating nutritional quality of foods using the 5-Color nutrition label in the French food market: consistency with nutritional recommendations
url	https://dx.doi.org/10.1186/s12937-015-0090-4
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author2	Ducrot, Pauline Péneau, Sandrine Deschamps, Valérie Méjean, Caroline Fézeu, Léopold Touvier, Mathilde Hercberg, Serge Kesse-Guyot, Emmanuelle
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Discriminating nutritional quality of foods using the 5-Color nutrition label in the French food market: consistency with nutritional recommendations

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