Nutritional quality of food as represented by the FSAm-NPS nutrient profiling system underlying the Nutri-Score label and cancer risk in Europe: Results from the EPIC prospective cohort study

Helping consumers make healthier food choices is a key issue for the prevention of cancer and other diseases. In many countries, political authorities are considering the implementation of a simplified labelling system to reflect the nutritional quality of food products. The Nutri-Score, a five-colo...

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Veröffentlicht in:Nature methods 2018-09, Vol.15 (9), p.e1002651-e1002651
Hauptverfasser: Deschasaux, Mélanie, Huybrechts, Inge, Murphy, Neil, Julia, Chantal, Hercberg, Serge, Srour, Bernard, Kesse-Guyot, Emmanuelle, Latino-Martel, Paule, Biessy, Carine, Casagrande, Corinne, Jenab, Mazda, Ward, Heather, Weiderpass, Elisabete, Dahm, Christina C, Overvad, Kim, Kyrø, Cecilie, Olsen, Anja, Affret, Aurélie, Boutron-Ruault, Marie-Christine, Mahamat-Saleh, Yahya, Kaaks, Rudolf, Kühn, Tilman, Boeing, Heiner, Schwingshackl, Lukas, Bamia, Christina, Peppa, Eleni, Trichopoulou, Antonia, Masala, Giovanna, Krogh, Vittorio, Panico, Salvatore, Tumino, Rosario, Sacerdote, Carlotta, Bueno-de-Mesquita, Bas, Peeters, Petra H, Hjartåker, Anette, Rylander, Charlotta, Skeie, Guri, Ramón Quirós, J, Jakszyn, Paula, Salamanca-Fernández, Elena, Huerta, José María, Ardanaz, Eva, Amiano, Pilar, Ericson, Ulrika, Sonestedt, Emily, Huseinovic, Ena, Johansson, Ingegerd, Khaw, Kay-Tee, Wareham, Nick, Bradbury, Kathryn E, Perez-Cornago, Aurora, Tsilidis, Konstantinos K, Ferrari, Pietro, Riboli, Elio, Gunter, Marc J, Touvier, Mathilde
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container_title Nature methods
container_volume 15
creator Deschasaux, Mélanie
Huybrechts, Inge
Murphy, Neil
Julia, Chantal
Hercberg, Serge
Srour, Bernard
Kesse-Guyot, Emmanuelle
Latino-Martel, Paule
Biessy, Carine
Casagrande, Corinne
Jenab, Mazda
Ward, Heather
Weiderpass, Elisabete
Dahm, Christina C
Overvad, Kim
Kyrø, Cecilie
Olsen, Anja
Affret, Aurélie
Boutron-Ruault, Marie-Christine
Mahamat-Saleh, Yahya
Kaaks, Rudolf
Kühn, Tilman
Boeing, Heiner
Schwingshackl, Lukas
Bamia, Christina
Peppa, Eleni
Trichopoulou, Antonia
Masala, Giovanna
Krogh, Vittorio
Panico, Salvatore
Tumino, Rosario
Sacerdote, Carlotta
Bueno-de-Mesquita, Bas
Peeters, Petra H
Hjartåker, Anette
Rylander, Charlotta
Skeie, Guri
Ramón Quirós, J
Jakszyn, Paula
Salamanca-Fernández, Elena
Huerta, José María
Ardanaz, Eva
Amiano, Pilar
Ericson, Ulrika
Sonestedt, Emily
Huseinovic, Ena
Johansson, Ingegerd
Khaw, Kay-Tee
Wareham, Nick
Bradbury, Kathryn E
Perez-Cornago, Aurora
Tsilidis, Konstantinos K
Ferrari, Pietro
Riboli, Elio
Gunter, Marc J
Touvier, Mathilde
description Helping consumers make healthier food choices is a key issue for the prevention of cancer and other diseases. In many countries, political authorities are considering the implementation of a simplified labelling system to reflect the nutritional quality of food products. The Nutri-Score, a five-colour nutrition label, is derived from the Nutrient Profiling System of the British Food Standards Agency (modified version) (FSAm-NPS). How the consumption of foods with high/low FSAm-NPS relates to cancer risk has been studied in national/regional cohorts but has not been characterized in diverse European populations. This prospective analysis included 471,495 adults from the European Prospective Investigation into Cancer and Nutrition (EPIC, 1992-2014, median follow-up: 15.3 y), among whom there were 49,794 incident cancer cases (main locations: breast, n = 12,063; prostate, n = 6,745; colon-rectum, n = 5,806). Usual food intakes were assessed with standardized country-specific diet assessment methods. The FSAm-NPS was calculated for each food/beverage using their 100-g content in energy, sugar, saturated fatty acid, sodium, fibres, proteins, and fruits/vegetables/legumes/nuts. The FSAm-NPS scores of all food items usually consumed by a participant were averaged to obtain the individual FSAm-NPS Dietary Index (DI) scores. Multi-adjusted Cox proportional hazards models were computed. A higher FSAm-NPS DI score, reflecting a lower nutritional quality of the food consumed, was associated with a higher risk of total cancer (HRQ5 versus Q1 = 1.07; 95% CI 1.03-1.10, P-trend < 0.001). Absolute cancer rates in those with high and low (quintiles 5 and 1) FSAm-NPS DI scores were 81.4 and 69.5 cases/10,000 person-years, respectively. Higher FSAm-NPS DI scores were specifically associated with higher risks of cancers of the colon-rectum, upper aerodigestive tract and stomach, lung for men, and liver and postmenopausal breast for women (all P < 0.05). The main study limitation is that it was based on an observational cohort using self-reported dietary data obtained through a single baseline food frequency questionnaire; thus, exposure misclassification and residual confounding cannot be ruled out. In this large multinational European cohort, the consumption of food products with a higher FSAm-NPS score (lower nutritional quality) was associated with a higher risk of cancer. This supports the relevance of the FSAm-NPS as underlying nutrient profiling system for front-of-pack
doi_str_mv 10.1371/journal.pmed.1002651
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In many countries, political authorities are considering the implementation of a simplified labelling system to reflect the nutritional quality of food products. The Nutri-Score, a five-colour nutrition label, is derived from the Nutrient Profiling System of the British Food Standards Agency (modified version) (FSAm-NPS). How the consumption of foods with high/low FSAm-NPS relates to cancer risk has been studied in national/regional cohorts but has not been characterized in diverse European populations. This prospective analysis included 471,495 adults from the European Prospective Investigation into Cancer and Nutrition (EPIC, 1992-2014, median follow-up: 15.3 y), among whom there were 49,794 incident cancer cases (main locations: breast, n = 12,063; prostate, n = 6,745; colon-rectum, n = 5,806). Usual food intakes were assessed with standardized country-specific diet assessment methods. The FSAm-NPS was calculated for each food/beverage using their 100-g content in energy, sugar, saturated fatty acid, sodium, fibres, proteins, and fruits/vegetables/legumes/nuts. The FSAm-NPS scores of all food items usually consumed by a participant were averaged to obtain the individual FSAm-NPS Dietary Index (DI) scores. Multi-adjusted Cox proportional hazards models were computed. A higher FSAm-NPS DI score, reflecting a lower nutritional quality of the food consumed, was associated with a higher risk of total cancer (HRQ5 versus Q1 = 1.07; 95% CI 1.03-1.10, P-trend &lt; 0.001). Absolute cancer rates in those with high and low (quintiles 5 and 1) FSAm-NPS DI scores were 81.4 and 69.5 cases/10,000 person-years, respectively. Higher FSAm-NPS DI scores were specifically associated with higher risks of cancers of the colon-rectum, upper aerodigestive tract and stomach, lung for men, and liver and postmenopausal breast for women (all P &lt; 0.05). The main study limitation is that it was based on an observational cohort using self-reported dietary data obtained through a single baseline food frequency questionnaire; thus, exposure misclassification and residual confounding cannot be ruled out. In this large multinational European cohort, the consumption of food products with a higher FSAm-NPS score (lower nutritional quality) was associated with a higher risk of cancer. 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In many countries, political authorities are considering the implementation of a simplified labelling system to reflect the nutritional quality of food products. The Nutri-Score, a five-colour nutrition label, is derived from the Nutrient Profiling System of the British Food Standards Agency (modified version) (FSAm-NPS). How the consumption of foods with high/low FSAm-NPS relates to cancer risk has been studied in national/regional cohorts but has not been characterized in diverse European populations. This prospective analysis included 471,495 adults from the European Prospective Investigation into Cancer and Nutrition (EPIC, 1992-2014, median follow-up: 15.3 y), among whom there were 49,794 incident cancer cases (main locations: breast, n = 12,063; prostate, n = 6,745; colon-rectum, n = 5,806). Usual food intakes were assessed with standardized country-specific diet assessment methods. The FSAm-NPS was calculated for each food/beverage using their 100-g content in energy, sugar, saturated fatty acid, sodium, fibres, proteins, and fruits/vegetables/legumes/nuts. The FSAm-NPS scores of all food items usually consumed by a participant were averaged to obtain the individual FSAm-NPS Dietary Index (DI) scores. Multi-adjusted Cox proportional hazards models were computed. A higher FSAm-NPS DI score, reflecting a lower nutritional quality of the food consumed, was associated with a higher risk of total cancer (HRQ5 versus Q1 = 1.07; 95% CI 1.03-1.10, P-trend &lt; 0.001). Absolute cancer rates in those with high and low (quintiles 5 and 1) FSAm-NPS DI scores were 81.4 and 69.5 cases/10,000 person-years, respectively. Higher FSAm-NPS DI scores were specifically associated with higher risks of cancers of the colon-rectum, upper aerodigestive tract and stomach, lung for men, and liver and postmenopausal breast for women (all P &lt; 0.05). The main study limitation is that it was based on an observational cohort using self-reported dietary data obtained through a single baseline food frequency questionnaire; thus, exposure misclassification and residual confounding cannot be ruled out. In this large multinational European cohort, the consumption of food products with a higher FSAm-NPS score (lower nutritional quality) was associated with a higher risk of cancer. This supports the relevance of the FSAm-NPS as underlying nutrient profiling system for front-of-pack nutrition labels, as well as for other public health nutritional measures.</description><subject>Adult</subject><subject>Biology and Life Sciences</subject><subject>Breast</subject><subject>Breast cancer</subject><subject>Cancer</subject><subject>Cancer and Oncology</subject><subject>Cancer och onkologi</subject><subject>cardiovascular-disease risk</subject><subject>Chronic illnesses</subject><subject>Clinical medical disciplines: 750</subject><subject>Clinical Medicine</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Colon</subject><subject>Community medicine, Social medicine: 801</subject><subject>Descriptive labeling</subject><subject>Diet</subject><subject>dietary index</subject><subject>Disease</subject><subject>Disease prevention</subject><subject>Epidemiology</subject><subject>Europe - epidemiology</subject><subject>Fatty acids</subject><subject>Female</subject><subject>Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi</subject><subject>Food</subject><subject>Food and Nutrition</subject><subject>Food consumption</subject><subject>Food Labeling</subject><subject>Food Preferences</subject><subject>Food production</subject><subject>Food quality</subject><subject>france</subject><subject>french adults</subject><subject>front-of-package</subject><subject>Funding</subject><subject>General &amp; Internal Medicine</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Health Sciences</subject><subject>Health sciences: 800</subject><subject>Helsefag: 800</subject><subject>Humans</subject><subject>Hälsovetenskap</subject><subject>Klinisk medicin</subject><subject>Klinisk medisinske fag: 750</subject><subject>Labeling</subject><subject>Labelling</subject><subject>Labels</subject><subject>Legumes</subject><subject>Life Sciences</subject><subject>Literature reviews</subject><subject>Lungs</subject><subject>Male</subject><subject>Medical and Health Sciences</subject><subject>Medical disciplines: 700</subject><subject>Medical research</subject><subject>Medical statistics</subject><subject>Medicin och hälsovetenskap</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Medisinske Fag: 700</subject><subject>Men</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Neoplasms - epidemiology</subject><subject>Neoplasms - etiology</subject><subject>Neoplasms - prevention &amp; control</subject><subject>Nutrients</subject><subject>Nutrition and Dietetics</subject><subject>Nutrition Policy</subject><subject>Nutrition research</subject><subject>Nutritional aspects</subject><subject>Nutritional assessment</subject><subject>Nutritive Value</subject><subject>Näringslära</subject><subject>Oncology: 762</subject><subject>Onkologi: 762</subject><subject>People and Places</subject><subject>Post-menopause</subject><subject>project</subject><subject>prospective association</subject><subject>Prospective Studies</subject><subject>Prostate</subject><subject>Public health</subject><subject>Public Health, Global Health, Social Medicine and Epidemiology</subject><subject>Rectum</subject><subject>Research centers</subject><subject>Risk Factors</subject><subject>Samfunnsmedisin, sosialmedisin: 801</subject><subject>Santé publique et épidémiologie</subject><subject>Sodium</subject><subject>Statistical models</subject><subject>Stomach</subject><subject>su.vi.max cohort</subject><subject>Sugar</subject><subject>Systematic review</subject><subject>validation</subject><subject>VDP</subject><issn>1549-1676</issn><issn>1549-1277</issn><issn>1548-7091</issn><issn>1548-7105</issn><issn>1549-1676</issn><issn>1548-7105</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>3HK</sourceid><sourceid>D8T</sourceid><sourceid>DOA</sourceid><recordid>eNqVlNtu1DAQhiMEolB4AwSWkBC92BIfE3OBtCotrVQV1KLeWo4z2XXJxqntFPbpeDWc7Ra6qCBQZCUaf__vw0wmy57hfBfTAr-5cIPvdLvbL6DexXlOBMf3skeYMznBohD3b31vZY9DuEiMzGX-MNuiOSGiZORR9v1kiN5G65IVuhx0a-MSuQY1ztVIB-Sh9xCgi1CjaoniHNDB2XQxOfl0hrpRmqZQ711jW9vNUFiGCAs0dDX4djlGRsVqjcmZcR5Qqytoke5qZHRnwCNvwxdkO7Q_eNfDW3QKYWhjQI13i5V6_9PR3rhE6MFEewXIuLnzEYU41Msn2YNGtwGert_b2fnB_ue9w8nxxw9He9PjicGYkDhJh20YNJoWJWZMlg2VkOMmN4UWlWnysiwlCM1AgGaUESkaUZdQSGEqSWVNt7MX18Z964JaX35QhHBCWFnQPBFH10Tt9IXqvV1ov1ROW7UKOD9T2kdrWlDEYMJLQYBTw7jRUhBKMaGNIcaUtEpek2uv8BX6odpwW4e-pC9QrOQc88Qf_5Fvhz6NKo1RUHNdNXUtlagYVYyWTGkqtNKGNGVVGEk1_-vys2SXQrOVGylIUZC_8u_t-XR1-GExqLTVkoz-79aXOVSpfE0qIq_bDdnmTGfnauaulMCMYlkkg51rg_lvssPpsRpjOcFFwbm8wr8yZ1KpRdupznmt0h9Di3E_vEzE6_V2vLscIES1sMFA2-oO3JCSjDETkmAuEvryN_TuUlhTM52ybbvGpVOY0VRNOS8EFZLdurUNagYdpCO7DtI_BZv87h18empYWHOnYGdDkJgI3-JMDyGoo7PT_2BP_p39eL7JvrrFzkG3cR5cO4wtJ2yC7CZNLgQPzc-84lyNHe_mptXY8dS64yXZ89ul9FN00-LoDzoRphk</recordid><startdate>20180918</startdate><enddate>20180918</enddate><creator>Deschasaux, 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quality of food as represented by the FSAm-NPS nutrient profiling system underlying the Nutri-Score label and cancer risk in Europe: Results from the EPIC prospective cohort study</title><author>Deschasaux, Mélanie ; Huybrechts, Inge ; Murphy, Neil ; Julia, Chantal ; Hercberg, Serge ; Srour, Bernard ; Kesse-Guyot, Emmanuelle ; Latino-Martel, Paule ; Biessy, Carine ; Casagrande, Corinne ; Jenab, Mazda ; Ward, Heather ; Weiderpass, Elisabete ; Dahm, Christina C ; Overvad, Kim ; Kyrø, Cecilie ; Olsen, Anja ; Affret, Aurélie ; Boutron-Ruault, Marie-Christine ; Mahamat-Saleh, Yahya ; Kaaks, Rudolf ; Kühn, Tilman ; Boeing, Heiner ; Schwingshackl, Lukas ; Bamia, Christina ; Peppa, Eleni ; Trichopoulou, Antonia ; Masala, Giovanna ; Krogh, Vittorio ; Panico, Salvatore ; Tumino, Rosario ; Sacerdote, Carlotta ; Bueno-de-Mesquita, Bas ; Peeters, Petra H ; Hjartåker, Anette ; Rylander, Charlotta ; Skeie, Guri ; Ramón Quirós, J ; Jakszyn, Paula ; Salamanca-Fernández, Elena ; Huerta, José María ; Ardanaz, Eva ; Amiano, Pilar ; Ericson, Ulrika ; Sonestedt, Emily ; Huseinovic, Ena ; Johansson, Ingegerd ; Khaw, Kay-Tee ; Wareham, Nick ; Bradbury, Kathryn E ; Perez-Cornago, Aurora ; Tsilidis, Konstantinos K ; Ferrari, Pietro ; Riboli, Elio ; Gunter, Marc J ; Touvier, Mathilde</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1122t-842f4efa37814498f39e01f0c7a6bcf08889e6a4e6ea434296f6d8e796cb939d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Biology and Life Sciences</topic><topic>Breast</topic><topic>Breast cancer</topic><topic>Cancer</topic><topic>Cancer and Oncology</topic><topic>Cancer och onkologi</topic><topic>cardiovascular-disease risk</topic><topic>Chronic illnesses</topic><topic>Clinical medical disciplines: 750</topic><topic>Clinical Medicine</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Colon</topic><topic>Community medicine, Social medicine: 801</topic><topic>Descriptive labeling</topic><topic>Diet</topic><topic>dietary index</topic><topic>Disease</topic><topic>Disease prevention</topic><topic>Epidemiology</topic><topic>Europe - epidemiology</topic><topic>Fatty acids</topic><topic>Female</topic><topic>Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi</topic><topic>Food</topic><topic>Food and Nutrition</topic><topic>Food consumption</topic><topic>Food Labeling</topic><topic>Food Preferences</topic><topic>Food production</topic><topic>Food quality</topic><topic>france</topic><topic>french adults</topic><topic>front-of-package</topic><topic>Funding</topic><topic>General &amp; Internal Medicine</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Health Sciences</topic><topic>Health sciences: 800</topic><topic>Helsefag: 800</topic><topic>Humans</topic><topic>Hälsovetenskap</topic><topic>Klinisk medicin</topic><topic>Klinisk medisinske fag: 750</topic><topic>Labeling</topic><topic>Labelling</topic><topic>Labels</topic><topic>Legumes</topic><topic>Life Sciences</topic><topic>Literature reviews</topic><topic>Lungs</topic><topic>Male</topic><topic>Medical and Health Sciences</topic><topic>Medical disciplines: 700</topic><topic>Medical research</topic><topic>Medical statistics</topic><topic>Medicin och hälsovetenskap</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Medisinske Fag: 700</topic><topic>Men</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Neoplasms - epidemiology</topic><topic>Neoplasms - etiology</topic><topic>Neoplasms - prevention &amp; control</topic><topic>Nutrients</topic><topic>Nutrition and Dietetics</topic><topic>Nutrition Policy</topic><topic>Nutrition research</topic><topic>Nutritional aspects</topic><topic>Nutritional assessment</topic><topic>Nutritive Value</topic><topic>Näringslära</topic><topic>Oncology: 762</topic><topic>Onkologi: 762</topic><topic>People and Places</topic><topic>Post-menopause</topic><topic>project</topic><topic>prospective association</topic><topic>Prospective Studies</topic><topic>Prostate</topic><topic>Public health</topic><topic>Public Health, Global Health, Social Medicine and Epidemiology</topic><topic>Rectum</topic><topic>Research centers</topic><topic>Risk Factors</topic><topic>Samfunnsmedisin, sosialmedisin: 801</topic><topic>Santé publique et épidémiologie</topic><topic>Sodium</topic><topic>Statistical models</topic><topic>Stomach</topic><topic>su.vi.max cohort</topic><topic>Sugar</topic><topic>Systematic review</topic><topic>validation</topic><topic>VDP</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Deschasaux, Mélanie</creatorcontrib><creatorcontrib>Huybrechts, Inge</creatorcontrib><creatorcontrib>Murphy, Neil</creatorcontrib><creatorcontrib>Julia, Chantal</creatorcontrib><creatorcontrib>Hercberg, 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Christina</creatorcontrib><creatorcontrib>Peppa, Eleni</creatorcontrib><creatorcontrib>Trichopoulou, Antonia</creatorcontrib><creatorcontrib>Masala, Giovanna</creatorcontrib><creatorcontrib>Krogh, Vittorio</creatorcontrib><creatorcontrib>Panico, Salvatore</creatorcontrib><creatorcontrib>Tumino, Rosario</creatorcontrib><creatorcontrib>Sacerdote, Carlotta</creatorcontrib><creatorcontrib>Bueno-de-Mesquita, Bas</creatorcontrib><creatorcontrib>Peeters, Petra H</creatorcontrib><creatorcontrib>Hjartåker, Anette</creatorcontrib><creatorcontrib>Rylander, Charlotta</creatorcontrib><creatorcontrib>Skeie, Guri</creatorcontrib><creatorcontrib>Ramón Quirós, J</creatorcontrib><creatorcontrib>Jakszyn, Paula</creatorcontrib><creatorcontrib>Salamanca-Fernández, Elena</creatorcontrib><creatorcontrib>Huerta, José María</creatorcontrib><creatorcontrib>Ardanaz, Eva</creatorcontrib><creatorcontrib>Amiano, Pilar</creatorcontrib><creatorcontrib>Ericson, Ulrika</creatorcontrib><creatorcontrib>Sonestedt, 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universitet</collection><collection>SWEPUB Lunds universitet full text</collection><collection>SWEPUB Lunds universitet</collection><collection>DOAJ Directory of Open Access Journals</collection><collection>PLoS Medicine</collection><jtitle>Nature methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Deschasaux, Mélanie</au><au>Huybrechts, Inge</au><au>Murphy, Neil</au><au>Julia, Chantal</au><au>Hercberg, Serge</au><au>Srour, Bernard</au><au>Kesse-Guyot, Emmanuelle</au><au>Latino-Martel, Paule</au><au>Biessy, Carine</au><au>Casagrande, Corinne</au><au>Jenab, Mazda</au><au>Ward, Heather</au><au>Weiderpass, Elisabete</au><au>Dahm, Christina C</au><au>Overvad, Kim</au><au>Kyrø, Cecilie</au><au>Olsen, Anja</au><au>Affret, Aurélie</au><au>Boutron-Ruault, Marie-Christine</au><au>Mahamat-Saleh, Yahya</au><au>Kaaks, Rudolf</au><au>Kühn, Tilman</au><au>Boeing, Heiner</au><au>Schwingshackl, Lukas</au><au>Bamia, Christina</au><au>Peppa, Eleni</au><au>Trichopoulou, Antonia</au><au>Masala, Giovanna</au><au>Krogh, Vittorio</au><au>Panico, Salvatore</au><au>Tumino, Rosario</au><au>Sacerdote, Carlotta</au><au>Bueno-de-Mesquita, Bas</au><au>Peeters, Petra H</au><au>Hjartåker, Anette</au><au>Rylander, Charlotta</au><au>Skeie, Guri</au><au>Ramón Quirós, J</au><au>Jakszyn, Paula</au><au>Salamanca-Fernández, Elena</au><au>Huerta, José María</au><au>Ardanaz, Eva</au><au>Amiano, Pilar</au><au>Ericson, Ulrika</au><au>Sonestedt, Emily</au><au>Huseinovic, Ena</au><au>Johansson, Ingegerd</au><au>Khaw, Kay-Tee</au><au>Wareham, Nick</au><au>Bradbury, Kathryn E</au><au>Perez-Cornago, Aurora</au><au>Tsilidis, Konstantinos K</au><au>Ferrari, Pietro</au><au>Riboli, Elio</au><au>Gunter, Marc J</au><au>Touvier, Mathilde</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nutritional quality of food as represented by the FSAm-NPS nutrient profiling system underlying the Nutri-Score label and cancer risk in Europe: Results from the EPIC prospective cohort study</atitle><jtitle>Nature methods</jtitle><addtitle>PLoS Med</addtitle><date>2018-09-18</date><risdate>2018</risdate><volume>15</volume><issue>9</issue><spage>e1002651</spage><epage>e1002651</epage><pages>e1002651-e1002651</pages><issn>1549-1676</issn><issn>1549-1277</issn><issn>1548-7091</issn><issn>1548-7105</issn><eissn>1549-1676</eissn><eissn>1548-7105</eissn><abstract>Helping consumers make healthier food choices is a key issue for the prevention of cancer and other diseases. In many countries, political authorities are considering the implementation of a simplified labelling system to reflect the nutritional quality of food products. The Nutri-Score, a five-colour nutrition label, is derived from the Nutrient Profiling System of the British Food Standards Agency (modified version) (FSAm-NPS). How the consumption of foods with high/low FSAm-NPS relates to cancer risk has been studied in national/regional cohorts but has not been characterized in diverse European populations. This prospective analysis included 471,495 adults from the European Prospective Investigation into Cancer and Nutrition (EPIC, 1992-2014, median follow-up: 15.3 y), among whom there were 49,794 incident cancer cases (main locations: breast, n = 12,063; prostate, n = 6,745; colon-rectum, n = 5,806). Usual food intakes were assessed with standardized country-specific diet assessment methods. The FSAm-NPS was calculated for each food/beverage using their 100-g content in energy, sugar, saturated fatty acid, sodium, fibres, proteins, and fruits/vegetables/legumes/nuts. The FSAm-NPS scores of all food items usually consumed by a participant were averaged to obtain the individual FSAm-NPS Dietary Index (DI) scores. Multi-adjusted Cox proportional hazards models were computed. A higher FSAm-NPS DI score, reflecting a lower nutritional quality of the food consumed, was associated with a higher risk of total cancer (HRQ5 versus Q1 = 1.07; 95% CI 1.03-1.10, P-trend &lt; 0.001). Absolute cancer rates in those with high and low (quintiles 5 and 1) FSAm-NPS DI scores were 81.4 and 69.5 cases/10,000 person-years, respectively. Higher FSAm-NPS DI scores were specifically associated with higher risks of cancers of the colon-rectum, upper aerodigestive tract and stomach, lung for men, and liver and postmenopausal breast for women (all P &lt; 0.05). The main study limitation is that it was based on an observational cohort using self-reported dietary data obtained through a single baseline food frequency questionnaire; thus, exposure misclassification and residual confounding cannot be ruled out. In this large multinational European cohort, the consumption of food products with a higher FSAm-NPS score (lower nutritional quality) was associated with a higher risk of cancer. This supports the relevance of the FSAm-NPS as underlying nutrient profiling system for front-of-pack nutrition labels, as well as for other public health nutritional measures.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30226842</pmid><doi>10.1371/journal.pmed.1002651</doi><orcidid>https://orcid.org/0000-0002-0747-4562</orcidid><orcidid>https://orcid.org/0000-0001-6795-6080</orcidid><orcidid>https://orcid.org/0000-0002-8322-8857</orcidid><orcidid>https://orcid.org/0000-0002-1277-3380</orcidid><orcidid>https://orcid.org/0000-0002-9715-3534</orcidid><orcidid>https://orcid.org/0000-0003-2666-414X</orcidid><orcidid>https://orcid.org/0000-0002-3359-420X</orcidid><orcidid>https://orcid.org/0000-0002-9083-8960</orcidid><orcidid>https://orcid.org/0000-0003-2476-4251</orcidid><orcidid>https://orcid.org/0000-0003-0672-8847</orcidid><orcidid>https://orcid.org/0000-0002-5956-5693</orcidid><orcidid>https://orcid.org/0000-0003-2237-0128</orcidid><orcidid>https://orcid.org/0000-0002-8008-5096</orcidid><orcidid>https://orcid.org/0000-0003-3838-855X</orcidid><orcidid>https://orcid.org/0000-0003-0481-2893</orcidid><orcidid>https://orcid.org/0000-0003-4788-503X</orcidid><orcidid>https://orcid.org/0000-0003-3347-8249</orcidid><orcidid>https://orcid.org/0000-0002-5892-8886</orcidid><orcidid>https://orcid.org/0000-0003-3002-4030</orcidid><orcidid>https://orcid.org/0000-0002-9227-8434</orcidid><orcidid>https://orcid.org/0000-0003-3345-7333</orcidid><orcidid>https://orcid.org/0000-0002-5652-356X</orcidid><orcidid>https://orcid.org/0000-0002-9637-3869</orcidid><orcidid>https://orcid.org/0000-0003-1422-2993</orcidid><orcidid>https://orcid.org/0000-0002-3168-1350</orcidid><orcidid>https://orcid.org/0000-0003-0122-8624</orcidid><orcidid>https://orcid.org/0000-0002-5498-8312</orcidid><orcidid>https://orcid.org/0000-0002-2721-2404</orcidid><orcidid>https://orcid.org/0000-0002-5758-9069</orcidid><oa>free_for_read</oa></addata></record>
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1548-7091
1548-7105
1549-1676
1548-7105
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subjects Adult
Biology and Life Sciences
Breast
Breast cancer
Cancer
Cancer and Oncology
Cancer och onkologi
cardiovascular-disease risk
Chronic illnesses
Clinical medical disciplines: 750
Clinical Medicine
Cohort analysis
Cohort Studies
Colon
Community medicine, Social medicine: 801
Descriptive labeling
Diet
dietary index
Disease
Disease prevention
Epidemiology
Europe - epidemiology
Fatty acids
Female
Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi
Food
Food and Nutrition
Food consumption
Food Labeling
Food Preferences
Food production
Food quality
france
french adults
front-of-package
Funding
General & Internal Medicine
Health risk assessment
Health risks
Health Sciences
Health sciences: 800
Helsefag: 800
Humans
Hälsovetenskap
Klinisk medicin
Klinisk medisinske fag: 750
Labeling
Labelling
Labels
Legumes
Life Sciences
Literature reviews
Lungs
Male
Medical and Health Sciences
Medical disciplines: 700
Medical research
Medical statistics
Medicin och hälsovetenskap
Medicine
Medicine and Health Sciences
Medisinske Fag: 700
Men
Metabolism
Middle Aged
Neoplasms - epidemiology
Neoplasms - etiology
Neoplasms - prevention & control
Nutrients
Nutrition and Dietetics
Nutrition Policy
Nutrition research
Nutritional aspects
Nutritional assessment
Nutritive Value
Näringslära
Oncology: 762
Onkologi: 762
People and Places
Post-menopause
project
prospective association
Prospective Studies
Prostate
Public health
Public Health, Global Health, Social Medicine and Epidemiology
Rectum
Research centers
Risk Factors
Samfunnsmedisin, sosialmedisin: 801
Santé publique et épidémiologie
Sodium
Statistical models
Stomach
su.vi.max cohort
Sugar
Systematic review
validation
VDP
title Nutritional quality of food as represented by the FSAm-NPS nutrient profiling system underlying the Nutri-Score label and cancer risk in Europe: Results from the EPIC prospective cohort study
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