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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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 |
format | Article |
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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 < 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 nutrition labels, as well as for other public health nutritional measures.</description><identifier>ISSN: 1549-1676</identifier><identifier>ISSN: 1549-1277</identifier><identifier>ISSN: 1548-7091</identifier><identifier>ISSN: 1548-7105</identifier><identifier>EISSN: 1549-1676</identifier><identifier>EISSN: 1548-7105</identifier><identifier>DOI: 10.1371/journal.pmed.1002651</identifier><identifier>PMID: 30226842</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>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</subject><ispartof>Nature methods, 2018-09, Vol.15 (9), p.e1002651-e1002651</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Deschasaux et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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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 < 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 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 & 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 & 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 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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 & 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 & 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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Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>NORA - Norwegian Open Research Archives</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SWEPUB Umeå universitet full text</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Umeå universitet</collection><collection>SwePub Articles full text</collection><collection>SWEPUB Göteborgs 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 < 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 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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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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