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Hutelin Z, Ahrens M, Baugh ME, Oster ME, Hanlon AL, DiFeliceantonio AG. Creation and validation of a NOVA scored picture set to evaluate ultra-processed foods. Appetite 2024; 198:107358. [PMID: 38621591 PMCID: PMC11092385 DOI: 10.1016/j.appet.2024.107358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/11/2024] [Accepted: 04/12/2024] [Indexed: 04/17/2024]
Abstract
There has been a rapid shift in the modern food environment towards increased processing in foods consumed in the United States (US) and globally. The NOVA system (not an acronym) for classifying food on degree of processing currently has the most empirical support. Consumption of foods in the NOVA 4 category, ultra-processed foods (UPF), is a risk factor for a host of poor health outcomes including heart disease, stroke, and cancer. Despite these poor health outcomes, UPF make up 58% of calories consumed in the US. Methodologies for assessing the reinforcing and rewarding properties of these foods are necessary tools. The Becker-DeGroot-Marschak auction paradigm (BDM) is a well validated tool for measuring value and is amenable to neuromonitoring environments. To allow for the testing of hypotheses based on level of food processing, we present a picture set of 14 UPF and 14 minimally-processed foods (MPF) matched on visual properties, food characteristics (fat, carbohydrate, cost, etc.), and rated perceptual properties. Further, we report our scoring of these foods using the NOVA classification system and provide additional data from credentialed nutrition professionals and on inter-rater reliability using NOVA, a critique of the system. Finally, we provide all pictures, data, and code used to create this picture set as a tool for researchers.
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Affiliation(s)
- Zach Hutelin
- Graduate Program in Translational Biology, Medicine, and Health, Virginia Tech, Blacksburg, VA, United States; Fralin Biomedical Research Institute, Virginia Tech, Roanoke, VA, United States.
| | - Monica Ahrens
- Center for Biostatistics and Health Data Science, Department of Statistics, Virginia Tech, Roanoke, VA, United States
| | | | - Mary E Oster
- Fralin Biomedical Research Institute, Virginia Tech, Roanoke, VA, United States
| | - Alexandra L Hanlon
- Center for Biostatistics and Health Data Science, Department of Statistics, Virginia Tech, Roanoke, VA, United States
| | - Alexandra G DiFeliceantonio
- Fralin Biomedical Research Institute, Virginia Tech, Roanoke, VA, United States; Department of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA, United States
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2
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Debras C, Cordova R, Mayén AL, Maasen K, Knaze V, Eussen SJPM, Schalkwijk CG, Huybrechts I, Tjønneland A, Halkjær J, Katzke V, Bajracharya R, Schulze MB, Masala G, Pala V, Pasanisi F, Macciotta A, Petrova D, Castañeda J, Santiuste C, Amiano P, Moreno-Iribas C, Borné Y, Sonestedt E, Johansson I, Esberg A, Aglago EK, Jenab M, Freisling H. Dietary intake of dicarbonyl compounds and changes in body weight over time in a large cohort of European adults. Br J Nutr 2024; 131:1902-1914. [PMID: 38383991 DOI: 10.1017/s0007114524000503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Dicarbonyl compounds are highly reactive precursors of advanced glycation end products (AGE), produced endogenously, present in certain foods and formed during food processing. AGE contribute to the development of adverse metabolic outcomes, but health effects of dietary dicarbonyls are largely unexplored. We investigated associations between three dietary dicarbonyl compounds, methylglyoxal (MGO), glyoxal (GO) and 3-deoxyglucosone (3-DG), and body weight changes in European adults. Dicarbonyl intakes were estimated using food composition database from 263 095 European Prospective Investigation into Cancer and Nutrition-Physical Activity, Nutrition, Alcohol, Cessation of Smoking, Eating Out of Home in Relation to Anthropometry participants with two body weight assessments (median follow-up time = 5·4 years). Associations between dicarbonyls and 5-year body-weight changes were estimated using mixed linear regression models. Stratified analyses by sex, age and baseline BMI were performed. Risk of becoming overweight/obese was assessed using multivariable-adjusted logistic regression. MGO intake was associated with 5-year body-weight gain of 0·089 kg (per 1-sd increase, 95 % CI 0·072, 0·107). 3-DG was inversely associated with body-weight change (-0·076 kg, -0·094, -0·058). No significant association was observed for GO (0·018 kg, -0·002, 0·037). In stratified analyses, GO was associated with body-weight gain among women and older participants (above median of 52·4 years). MGO was associated with higher body-weight gain among older participants. 3-DG was inversely associated with body-weight gain among younger and normal-weight participants. MGO was associated with a higher risk of becoming overweight/obese, while inverse associations were observed for 3-DG. No associations were observed for GO with overweight/obesity. Dietary dicarbonyls are inconsistently associated with body weight change among European adults. Further research is needed to clarify the role of these food components in overweight and obesity, their underlying mechanisms and potential public health implications.
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Affiliation(s)
- Charlotte Debras
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Reynalda Cordova
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Ana-Lucia Mayén
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Kim Maasen
- Department of Internal Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Viktoria Knaze
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Simone J P M Eussen
- Department of Epidemiology, CARIM School for Cardiovascular Diseases/CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Casper G Schalkwijk
- Department of Internal Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jytte Halkjær
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Verena Katzke
- Department of Cancer Epidemiology, German Cancer research Center (DKFZ), Heidelberg, Germany
| | - Rashmita Bajracharya
- Department of Cancer Epidemiology, German Cancer research Center (DKFZ), Heidelberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Valeria Pala
- Epidemiology and Prevention Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Fabrizio Pasanisi
- Department of Clinical Medicine and Surgery School of Medicine, Federico II University, Via Sergio Pansini 5, 80131, Naples, Italy
| | - Alessandra Macciotta
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
| | - Dafina Petrova
- Escuela Andaluza de Salud Pública (EASP), 18011 Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029Madrid, Spain
| | - Jazmin Castañeda
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet del Llobregat, Spain
| | - Carmen Santiuste
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, 2013 San Sebastian, Spain; Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, 20014 San Sebastián, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Conchi Moreno-Iribas
- Instituto de Salud Pública y Laboral de Navarra, 31003 Pamplona, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; Navarra Institute for Health Research (IdiSNA), 31008Pamplona, Spain
| | - Yan Borné
- Nutrition Epidemiology, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
| | - Emily Sonestedt
- Nutrition Epidemiology, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
| | | | - Anders Esberg
- Department of Odontology, Umeå University, Umeå, Sweden
| | - Elom Kouassivi Aglago
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Mazda Jenab
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Heinz Freisling
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
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Shinozaki N, Murakami K, Kimoto N, Masayasu S, Sasaki S. Highly Processed Food Consumption and its Association With Overall Diet Quality in a Nationwide Sample of 1,318 Japanese Children and Adolescents: A Cross-Sectional Analysis Based on 8-Day Weighed Dietary Records. J Acad Nutr Diet 2024:S2212-2672(24)00267-3. [PMID: 38852670 DOI: 10.1016/j.jand.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 05/31/2024] [Accepted: 06/04/2024] [Indexed: 06/11/2024]
Abstract
BACKGROUND There is limited evidence regarding the association between consumption of highly processed foods (HPFs) and overall diet quality in children and adolescents from Asian countries. OBJECTIVE This study aimed to examine the association between HPF consumption and overall diet quality in Japanese children and adolescents. DESIGN A cross-sectional analysis was conducted based on 8-day dietary record data collected from volunteers in 32 of 47 prefectures throughout Japan in 2016 to 2020. Foods were categorized into 1 of 4 processing levels using the framework developed by the University of North Carolina at Chapel Hill. Food classification was performed under a low-estimate scenario (classifying mixed dishes consumed outside the home after disaggregation into ingredients) and high-estimate scenario (classifying them into HPFs without food disaggregation). PARTICIPANTS/SETTING A total of 1318 Japanese children and adolescents aged 3 to 17 years participated in the study. MAIN OUTCOME MEASURES Diet quality was assessed using the Healthy Eating Index-2020 and Nutrient-Rich Food Index 9.3. STATISTICAL ANALYSIS Multiple regression models adjusted for sociodemographic and anthropometric characteristics and the survey cycle were used to examine the association between tertiles of the energy contribution of HPFs and diet quality. RESULTS The mean energy contribution of HPFs was 27.3% and 44.3% in the low- and high-estimate scenarios, respectively. The top contributors to total energy intake from HPFs were confectioneries in the low-estimate scenario and cereals and starchy foods in the high-estimate scenario. Irrespective of the scenarios, participants in higher tertiles of energy contribution of HPFs had lower total scores for Healthy Eating Index-2020 and Nutrient-Rich Food Index 9.3 (P for trend < .0001). CONCLUSIONS HPFs accounted for more than one-quarter of the energy intake of Japanese children and adolescents surveyed, and higher consumption of HPFs was associated with lower diet quality. Therefore, reducing HPF consumption may increase overall diet quality among Japanese children and adolescents. Further research is needed to explore the causal nature of this association.
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Affiliation(s)
- Nana Shinozaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - Kentaro Murakami
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan.
| | - Nana Kimoto
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan
| | | | - Satoshi Sasaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan
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Brichacek AL, Florkowski M, Abiona E, Frank KM. Ultra-Processed Foods: A Narrative Review of the Impact on the Human Gut Microbiome and Variations in Classification Methods. Nutrients 2024; 16:1738. [PMID: 38892671 PMCID: PMC11174918 DOI: 10.3390/nu16111738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024] Open
Abstract
Ultra-processed foods (UPFs) are foods that are industrially processed and are often pre-packaged, convenient, energy-dense, and nutrient-poor. UPFs are widespread in the current Western diet and their proposed contribution to non-communicable diseases such as obesity and cardiovascular disease is supported by numerous studies. UPFs are hypothesized to affect the body in multiple ways, including by inducing changes in the gut microbiome. This review summarizes the available research on the effect of UPFs on the gut microbiome. We also review current usage of the NOVA food classification system in randomized controlled trials and observational studies and how its implementation effects UPF research. Despite some differences in methodology between studies, results often associate UPF consumption with a number of negative health consequences. There are attempts to standardize a UPF classification system; however, reaching and implementing a consensus is difficult. Future studies focusing on the mechanisms by which UPFs effect the body, including through the microbiome and metabolome, will be essential to refine our understanding of the effects of UPFs on human health.
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Affiliation(s)
| | | | | | - Karen M. Frank
- Department of Laboratory Medicine, National Institutes of Health Clinical Center, Building 10, 10 Center Drive MSC 1508, Bethesda, MD 20892, USA; (A.L.B.); (M.F.); (E.A.)
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Torrijo-Belanche C, Moreno-Franco B, Muñoz-Cabrejas A, Calvo-Galiano N, Casasnovas JA, Sayón-Orea C, Guallar-Castillón P. High Serum Phosphate Is Associated with Cardiovascular Mortality and Subclinical Coronary Atherosclerosis: Systematic Review and Meta-Analysis. Nutrients 2024; 16:1599. [PMID: 38892532 PMCID: PMC11174514 DOI: 10.3390/nu16111599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/17/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024] Open
Abstract
(1) Background: Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide. The aim of the study was to examine the existing published results of the association between elevated serum phosphate concentrations and cardiovascular mortality, along with the CVD incidence and subclinical coronary atherosclerosis, in primary prevention among non-selected samples of the general population. (2) Methods: A systematic review and meta-analysis were carried out using literature obtained from PubMed, SCOPUS, and the Web Of Science until March 2024 and following the PRISMA guidelines. Relevant information was extracted and presented. Random and fixed effects models were used to estimate the pooled odds ratio (OR) and hazard ratio (HR) with their 95% coefficient interval (CI), and I2 was used to assess heterogeneity. (3) Results: Twenty-five studies met our inclusion criteria and were included in the meta-analysis (11 cross-sectional and 14 cohort studies). For cardiovascular mortality, which included 7 cohort studies and 41,764 adults, the pooled HR was 1.44 (95% CIs 1.28, 1.61; I2 0%) when the highest versus the reference level of serum phosphate concentrations were compared. For CVDs, which included 8 cohort studies and 61,723 adults, the pooled HR was 1.12 (95% CIs 0.99, 1.27; I2 51%). For subclinical coronary atherosclerosis, which included 11 cross-sectional studies and 24,820 adults, the pooled OR was 1.44 (95% CIs 1.15, 1.79; I2 88%). (4) Conclusions: The highest serum phosphate concentrations were positively associated with a 44% increased risk of cardiovascular mortality and subclinical coronary atherosclerosis.
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Affiliation(s)
- Carolina Torrijo-Belanche
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, 50009 Zaragoza, Spain; (C.T.-B.); (A.M.-C.)
| | - Belén Moreno-Franco
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, 50009 Zaragoza, Spain; (C.T.-B.); (A.M.-C.)
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain; (N.C.-G.); (J.A.C.)
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029 Madrid, Spain
| | - Ainara Muñoz-Cabrejas
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, 50009 Zaragoza, Spain; (C.T.-B.); (A.M.-C.)
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain; (N.C.-G.); (J.A.C.)
| | - Naiara Calvo-Galiano
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain; (N.C.-G.); (J.A.C.)
- Department of Medicine, Psychiatry and Dermatology, Universidad de Zaragoza, 50009 Zaragoza, Spain
| | - José Antonio Casasnovas
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain; (N.C.-G.); (J.A.C.)
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029 Madrid, Spain
- Department of Medicine, Psychiatry and Dermatology, Universidad de Zaragoza, 50009 Zaragoza, Spain
| | - Carmen Sayón-Orea
- Department of Preventive Medicine and Public Health, University of Navarra-IDISNA, 31008 Pamplona, Spain;
- CIBERobn (CIBER Fisiopatología de la Obesidad y Nutrición), 28029 Madrid, Spain
| | - Pilar Guallar-Castillón
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28029 Madrid, Spain;
- CIBERESP (CIBER de Epidemiología y Salud Pública), 28029 Madrid, Spain
- IMDEA-Food Institute, CEI UAM + CSIC, Carretera de Cantoblanco 8, 28049 Madrid, Spain
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Maruyama C, Uchiyama M, Umezawa A, Tokunaga A, Yasuda A, Chibai K, Fukuda C, Ichiki R, Kameyama N, Shinohara M. A Cross-Sectional Pilot Study on Association of Ready-to-Eat and Processed Food Intakes with Metabolic Factors, Serum Trans Fat and Phospholipid Fatty Acid Compositions in Healthy Japanese Adults. Nutrients 2024; 16:1032. [PMID: 38613065 PMCID: PMC11013905 DOI: 10.3390/nu16071032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 03/21/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
Frequently consuming processed and ready-to-eat (RTE) foods is regarded as unhealthy, but evidence on the relationships with circulating metabolic parameters is lacking. Japanese residents of a metropolitan area, 20 to 50 years of age, were studied in terms of anthropometric and biochemical parameters, including circulating trans fat and serum phospholipid fatty acid levels. Processed foods, except drinks and dairy items, were categorized according to requirements for additional ingredients and cooking before eating. Processed and RTE foods were divided according to fat and/or oil content into non-fatty or fatty foods. The participants were grouped into tertiles based on the energy percent (En%) derived from fatty-RTE foods. Fatty-RTE En% showed negative associations with fish, soybean and soybean products, dairy, eggs, vegetables, seaweed/mushrooms/konjac, fruit and non-oily seasonings reflecting lower dietary fiber, eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), and mineral and vitamin intakes, while the associations with fat/oil, confectionaries, and sweet beverages were positive. Fatty-RTE En% consumption was positively associated with alkaline phosphatase, leucine aminopeptidase, direct bilirubin, elaidic acid, and C18:2 but inversely associated with HDL cholesterol, C15:0, C17:0, EPA, and DHA. A higher fatty-RTE food intake was suggested to contribute to unbalanced nutrient intakes, as reflected in lipid metabolic parameters. Further large-scale studies are needed to evaluate the quality and impacts of RTE foods.
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Affiliation(s)
- Chizuko Maruyama
- Division of Food and Nutrition, Graduate School of Human Sciences and Design, Japan Women’s University, Tokyo 112-8681, Japan;
- Department of Food and Nutrition, Faculty of Human Sciences and Design, Japan Women’s University, Tokyo 112-8681, Japan; (A.U.); (N.K.)
| | - Miya Uchiyama
- Division of Food and Nutrition, Graduate School of Human Sciences and Design, Japan Women’s University, Tokyo 112-8681, Japan;
| | - Ariko Umezawa
- Department of Food and Nutrition, Faculty of Human Sciences and Design, Japan Women’s University, Tokyo 112-8681, Japan; (A.U.); (N.K.)
| | - Aoi Tokunaga
- Department of Food and Nutrition, Faculty of Human Sciences and Design, Japan Women’s University, Tokyo 112-8681, Japan; (A.U.); (N.K.)
| | - Akari Yasuda
- Department of Food and Nutrition, Faculty of Human Sciences and Design, Japan Women’s University, Tokyo 112-8681, Japan; (A.U.); (N.K.)
| | - Kanako Chibai
- Department of Food and Nutrition, Faculty of Human Sciences and Design, Japan Women’s University, Tokyo 112-8681, Japan; (A.U.); (N.K.)
| | - Chieko Fukuda
- Department of Food and Nutrition, Faculty of Human Sciences and Design, Japan Women’s University, Tokyo 112-8681, Japan; (A.U.); (N.K.)
| | - Rina Ichiki
- Department of Food and Nutrition, Faculty of Human Sciences and Design, Japan Women’s University, Tokyo 112-8681, Japan; (A.U.); (N.K.)
| | - Noriko Kameyama
- Department of Food and Nutrition, Faculty of Human Sciences and Design, Japan Women’s University, Tokyo 112-8681, Japan; (A.U.); (N.K.)
| | - Masakazu Shinohara
- The Integrated Center for Mass Spectrometry, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan;
- Division of Molecular Epidemiology, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan
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7
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Torres-Collado L, Rychter A, González-Palacios S, Compañ-Gabucio LM, Oncina-Cánovas A, García de la Hera M, Vioque J. A high consumption of ultra-processed foods is associated with higher total mortality in an adult Mediterranean population. Clin Nutr 2024; 43:739-746. [PMID: 38320465 DOI: 10.1016/j.clnu.2024.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 01/11/2024] [Accepted: 01/15/2024] [Indexed: 02/08/2024]
Abstract
BACKGROUND & AIMS The consumption of ultra-processed foods (UPF) has been associated with higher all-cause and cardiovascular disease (CVD) mortality, although this association has not been sufficiently investigated in Mediterranean populations. We aimed to evaluate the association between UPF consumption and all-cause, CVD and cancer mortality in an adult population in Spain. METHODS We analysed data from 1,538 participants aged 20 years and above in the Valencia Nutrition Survey in 1995. Diet was assessed at baseline using a validated food frequency questionnaire and the consumption of UPF was calculated using the NOVA system. Information on socio-demographic characteristics, lifestyles, and presence of diseases was also collected at baseline. Cause of death was ascertained during an 18-year follow-up period. We used Cox regression and competing risk models as proposed by Fine and Gray's to estimate adjusted hazard ratios (HR) and 95 % confidence intervals (95 %CI). RESULTS After 18 years of follow-up, we documented 312 deaths (36.5 % of CVD and 25.6 % of cancer). Compared with participants in the lowest tertile of UPF consumption, those in the highest tertile showed 40 % higher risk of all-cause mortality, HR 1.40 (95 %CI: 1.04-1.90), and evidence of a higher CVD mortality, HR 1.39 (95 %CI: 0.80-2.41) and of cancer mortality, HR 1.53 (95 %CI: 0.83-2.82). CONCLUSIONS This study suggests that a high UPF consumption is associated with a higher all-cause mortality in a Mediterranean population after a long follow-up period. Considering the increase in UPF consumption and their detrimental health effects on mortality, these results should be confirmed by other studies in other populations.
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Affiliation(s)
- Laura Torres-Collado
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Anna Rychter
- Department of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland; Doctoral School, Poznan University of Medical Sciences, Poznan, Poland
| | - Sandra González-Palacios
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Laura María Compañ-Gabucio
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Alejandro Oncina-Cánovas
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Manoli García de la Hera
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
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Morales-Berstein F, Biessy C, Viallon V, Goncalves-Soares A, Casagrande C, Hémon B, Kliemann N, Cairat M, Blanco Lopez J, Al Nahas A, Chang K, Vamos E, Rauber F, Bertazzi Levy R, Barbosa Cunha D, Jakszyn P, Ferrari P, Vineis P, Masala G, Catalano A, Sonestedt E, Borné Y, Katzke V, Bajracharya R, Agnoli C, Guevara M, Heath A, Radoï L, Mancini F, Weiderpass E, Huerta JM, Sánchez MJ, Tjønneland A, Kyrø C, Schulze MB, Skeie G, Lukic M, Braaten T, Gunter M, Millett C, Agudo A, Brennan P, Borges MC, Richmond RC, Richardson TG, Davey Smith G, Relton CL, Huybrechts I. Ultra-processed foods, adiposity and risk of head and neck cancer and oesophageal adenocarcinoma in the European Prospective Investigation into Cancer and Nutrition study: a mediation analysis. Eur J Nutr 2024; 63:377-396. [PMID: 37989797 PMCID: PMC10899298 DOI: 10.1007/s00394-023-03270-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 10/10/2023] [Indexed: 11/23/2023]
Abstract
PURPOSE To investigate the role of adiposity in the associations between ultra-processed food (UPF) consumption and head and neck cancer (HNC) and oesophageal adenocarcinoma (OAC) in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. METHODS Our study included 450,111 EPIC participants. We used Cox regressions to investigate the associations between the consumption of UPFs and HNC and OAC risk. A mediation analysis was performed to assess the role of body mass index (BMI) and waist-to-hip ratio (WHR) in these associations. In sensitivity analyses, we investigated accidental death as a negative control outcome. RESULTS During a mean follow-up of 14.13 ± 3.98 years, 910 and 215 participants developed HNC and OAC, respectively. A 10% g/d higher consumption of UPFs was associated with an increased risk of HNC (hazard ratio [HR] = 1.23, 95% confidence interval [CI] 1.14-1.34) and OAC (HR = 1.24, 95% CI 1.05-1.47). WHR mediated 5% (95% CI 3-10%) of the association between the consumption of UPFs and HNC risk, while BMI and WHR, respectively, mediated 13% (95% CI 6-53%) and 15% (95% CI 8-72%) of the association between the consumption of UPFs and OAC risk. UPF consumption was positively associated with accidental death in the negative control analysis. CONCLUSIONS We reaffirmed that higher UPF consumption is associated with greater risk of HNC and OAC in EPIC. The proportion mediated via adiposity was small. Further research is required to investigate other mechanisms that may be at play (if there is indeed any causal effect of UPF consumption on these cancers).
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Affiliation(s)
- Fernanda Morales-Berstein
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Carine Biessy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer/World Health Organization, Lyon, France
| | - Vivian Viallon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer/World Health Organization, Lyon, France
| | - Ana Goncalves-Soares
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Corinne Casagrande
- Nutrition and Metabolism Branch, International Agency for Research on Cancer/World Health Organization, Lyon, France
| | - Bertrand Hémon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer/World Health Organization, Lyon, France
| | - Nathalie Kliemann
- Nutrition and Metabolism Branch, International Agency for Research on Cancer/World Health Organization, Lyon, France
- Cancer Research Center of Santa Catarina, CEPON, Florianópolis, Brazil
| | - Manon Cairat
- Nutrition and Metabolism Branch, International Agency for Research on Cancer/World Health Organization, Lyon, France
- Paris-Saclay University, UVSQ, Inserm "Exposome, Heredity, Cancer and Health" Team, CESP U1018, Gustave Roussy, Villejuif, France
| | - Jessica Blanco Lopez
- Nutrition and Metabolism Branch, International Agency for Research on Cancer/World Health Organization, Lyon, France
| | - Aline Al Nahas
- Nutrition and Metabolism Branch, International Agency for Research on Cancer/World Health Organization, Lyon, France
| | - Kiara Chang
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK
| | - Eszter Vamos
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK
| | - Fernanda Rauber
- Preventive Medicine Department of the Medical School, University of São Paulo, São Paulo, Brazil
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
| | - Renata Bertazzi Levy
- Preventive Medicine Department of the Medical School, University of São Paulo, São Paulo, Brazil
- Center for Epidemiological Research in Nutrition and Health, University of São Paulo, São Paulo, Brazil
| | - Diana Barbosa Cunha
- Hésio Cordeiro Institute of Social Medicine, Department of Epidemiology, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Catalan Institute of Oncology-ICO, L'Hospitalet de Llobregat, Spain
- Nutrition and Cancer Group; Epidemiology, Public Health, Cancer Prevention and Palliative Care Program, Bellvitge Biomedical Research Institute-IDIBELL, L'Hospitalet de Llobregat, Spain
- Blanquerna Faculty of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Pietro Ferrari
- Nutrition and Metabolism Branch, International Agency for Research on Cancer/World Health Organization, Lyon, France
| | - Paolo Vineis
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
- Italian Institute of Technology, Genoa, Italy
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Alberto Catalano
- Centre for Biostatistics, Epidemiology, and Public Health, Department of Clinical and Biological Sciences, University of Turin, 10043, Orbassano, TO, Italy
| | - Emily Sonestedt
- Nutrition Epidemiology, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
| | - Yan Borné
- Nutrition Epidemiology, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
| | - Verena Katzke
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rashmita Bajracharya
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Marcela Guevara
- Instituto de Salud Pública y Laboral de Navarra, 31003, Pamplona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
| | - Alicia Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Loredana Radoï
- Paris-Saclay University, UVSQ, Inserm "Exposome, Heredity, Cancer and Health" Team, CESP U1018, Gustave Roussy, Villejuif, France
| | - Francesca Mancini
- Paris-Saclay University, UVSQ, Inserm "Exposome, Heredity, Cancer and Health" Team, CESP U1018, Gustave Roussy, Villejuif, France
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - José María Huerta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council-IMIB, Murcia, Spain
| | - María-José Sánchez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Escuela Andaluza de Salud Pública (EASP), 18011, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, 18012, Granada, Spain
- Department of Preventive Medicine and Public Health, University of Granada, 18071, Granada, Spain
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Diet, Cancer and Health, Strandboulevarden 49, DK-2100, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, DK-2200, Copenhagen, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Diet, Cancer and Health, Strandboulevarden 49, DK-2100, Copenhagen, Denmark
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Marko Lukic
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tonje Braaten
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Marc Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer/World Health Organization, Lyon, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Christopher Millett
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, UK
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, NOVA University Lisbon, Lisbon, Portugal
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Catalan Institute of Oncology-ICO, L'Hospitalet de Llobregat, Spain
- Nutrition and Cancer Group; Epidemiology, Public Health, Cancer Prevention and Palliative Care Program, Bellvitge Biomedical Research Institute-IDIBELL, L'Hospitalet de Llobregat, Spain
| | - Paul Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - M Carolina Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tom G Richardson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer/World Health Organization, Lyon, France
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9
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Barbaresko J, Bröder J, Conrad J, Szczerba E, Lang A, Schlesinger S. Ultra-processed food consumption and human health: an umbrella review of systematic reviews with meta-analyses. Crit Rev Food Sci Nutr 2024:1-9. [PMID: 38363072 DOI: 10.1080/10408398.2024.2317877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Recently, ultra-processed foods received a lot of attention, but also criticism. Our aim was to provide an overview of the existing evidence of ultra-processed food consumption on human health. We conducted a systematic search in four databases until January 5th, 2024. Systematic reviews with meta-analyses on ultra-processed food consumption as defined by the NOVA classification system were included. The certainty of evidence was evaluated by the GRADE approach. We identified 16 publications. Moderate certainty of evidence was found for all-cause mortality (Summary Risk Ratio per 50 g: 1.02; 95% confidence Interval (CI): 1.01, 1.03), cardiovascular disease incidence and mortality (per 50 g/d: 1.04; 95% CI: 1.02, 1.06, and 1.05; 95% CI: 1.01, 1.08), type 2 diabetes incidence (per 10%: 1.12; 95% CI: 1.10, 1.13) and colorectal cancer (per 10%: 1.04; 95% CI: 1.01, 1.07). For several outcomes such as inflammatory bowel diseases, obesity, metabolic syndrome, nonalcoholic fatty liver disease, mental health as well as nutrient quality, similar estimates were observed, but certainty of evidence was limited. Discussing the NOVA concept, it remains unclear whether the processing of foods leads to increased health risks or if ultra-processed food consumption is only a measure for poor diet quality.
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Affiliation(s)
- Janett Barbaresko
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | | | | | - Edyta Szczerba
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Munich-Neuherberg, Germany
| | - Alexander Lang
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | - Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, Munich-Neuherberg, Germany
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10
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Kortesniemi M, Noerman S, Kårlund A, Raita J, Meuronen T, Koistinen V, Landberg R, Hanhineva K. Nutritional metabolomics: Recent developments and future needs. Curr Opin Chem Biol 2023; 77:102400. [PMID: 37804582 DOI: 10.1016/j.cbpa.2023.102400] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 08/21/2023] [Accepted: 09/07/2023] [Indexed: 10/09/2023]
Abstract
Metabolomics has rapidly been adopted as one of the key methods in nutrition research. This review focuses on the recent developments and updates in the field, including the analytical methodologies that encompass improved instrument sensitivity, sampling techniques and data integration (multiomics). Metabolomics has advanced the discovery and validation of dietary biomarkers and their implementation in health research. Metabolomics has come to play an important role in the understanding of the role of small molecules resulting from the diet-microbiota interactions when gut microbiota research has shifted towards improving the understanding of the activity and functionality of gut microbiota rather than composition alone. Currently, metabolomics plays an emerging role in precision nutrition and the recent developments therein are discussed.
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Affiliation(s)
- Maaria Kortesniemi
- Food Sciences Unit, Department of Life Technologies, University of Turku, FI-20014 Turun yliopisto, Finland.
| | - Stefania Noerman
- Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Anna Kårlund
- Food Sciences Unit, Department of Life Technologies, University of Turku, FI-20014 Turun yliopisto, Finland
| | - Jasmin Raita
- Food Sciences Unit, Department of Life Technologies, University of Turku, FI-20014 Turun yliopisto, Finland
| | - Topi Meuronen
- Food Sciences Unit, Department of Life Technologies, University of Turku, FI-20014 Turun yliopisto, Finland
| | - Ville Koistinen
- Food Sciences Unit, Department of Life Technologies, University of Turku, FI-20014 Turun yliopisto, Finland; Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, FI-70211 Kuopio, Finland
| | - Rikard Landberg
- Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Kati Hanhineva
- Food Sciences Unit, Department of Life Technologies, University of Turku, FI-20014 Turun yliopisto, Finland; Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, FI-70211 Kuopio, Finland
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11
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Cordova R, Viallon V, Fontvieille E, Peruchet-Noray L, Jansana A, Wagner KH, Kyrø C, Tjønneland A, Katzke V, Bajracharya R, Schulze MB, Masala G, Sieri S, Panico S, Ricceri F, Tumino R, Boer JM, Verschuren W, van der Schouw YT, Jakszyn P, Redondo-Sánchez D, Amiano P, Huerta JM, Guevara M, Borné Y, Sonestedt E, Tsilidis KK, Millett C, Heath AK, Aglago EK, Aune D, Gunter MJ, Ferrari P, Huybrechts I, Freisling H. Consumption of ultra-processed foods and risk of multimorbidity of cancer and cardiometabolic diseases: a multinational cohort study. THE LANCET REGIONAL HEALTH. EUROPE 2023; 35:100771. [PMID: 38115963 PMCID: PMC10730313 DOI: 10.1016/j.lanepe.2023.100771] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/19/2023] [Accepted: 10/20/2023] [Indexed: 12/21/2023]
Abstract
Background It is currently unknown whether ultra-processed foods (UPFs) consumption is associated with a higher incidence of multimorbidity. We examined the relationship of total and subgroup consumption of UPFs with the risk of multimorbidity defined as the co-occurrence of at least two chronic diseases in an individual among first cancer at any site, cardiovascular disease, and type 2 diabetes. Methods This was a prospective cohort study including 266,666 participants (60% women) free of cancer, cardiovascular disease, and type 2 diabetes at recruitment from seven European countries in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Foods and drinks consumed over the previous 12 months were assessed at baseline by food-frequency questionnaires and classified according to their degree of processing using Nova classification. We used multistate modelling based on Cox regression to estimate cause-specific hazard ratios (HR) and their 95% confidence intervals (CI) for associations of total and subgroups of UPFs with the risk of multimorbidity of cancer and cardiometabolic diseases. Findings After a median of 11.2 years of follow-up, 4461 participants (39% women) developed multimorbidity of cancer and cardiometabolic diseases. Higher UPF consumption (per 1 standard deviation increment, ∼260 g/day without alcoholic drinks) was associated with an increased risk of multimorbidity of cancer and cardiometabolic diseases (HR: 1.09, 95% CI: 1.05, 1.12). Among UPF subgroups, associations were most notable for animal-based products (HR: 1.09, 95% CI: 1.05, 1.12), and artificially and sugar-sweetened beverages (HR: 1.09, 95% CI: 1.06, 1.12). Other subgroups such as ultra-processed breads and cereals (HR: 0.97, 95% CI: 0.94, 1.00) or plant-based alternatives (HR: 0.97, 95% CI: 0.91, 1.02) were not associated with risk. Interpretation Our findings suggest that higher consumption of UPFs increases the risk of cancer and cardiometabolic multimorbidity. Funding Austrian Academy of Sciences, Fondation de France, Cancer Research UK, World Cancer Research Fund International, and the Institut National du Cancer.
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Affiliation(s)
- Reynalda Cordova
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Vivian Viallon
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Emma Fontvieille
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | | | - Anna Jansana
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Karl-Heinz Wagner
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Cecilie Kyrø
- Danish Cancer Institute Center, Copenhagen, Denmark
| | - Anne Tjønneland
- Danish Cancer Institute Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rashmita Bajracharya
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, Centre for Biostatistics, Epidemiology, and Public Health, University of Turin, Italy
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE ONLUS Ragusa, Italy
| | - Jolanda M.A. Boer
- Centre for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - W.M.Monique Verschuren
- Centre for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
- Blanquerna School of Health Sciences, Ramon Llull University, Barcelona, Spain
| | - Daniel Redondo-Sánchez
- Escuela Andaluza de Salud Pública (EASP), Granada 18011, Spain
- Instituto de Investigación Biosanitaria ibs. Granada, Granada 18012, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Pilar Amiano
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastian, Spain
- Bio Gipuzkoa Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain
| | - José María Huerta
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council-IMIB, Murcia, Spain
| | - Marcela Guevara
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Salud Pública y Laboral de Navarra, Pamplona 31003, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona 31008, Spain
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, The Faculty of Medicine, Lund University, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, The Faculty of Medicine, Lund University, Malmö, Sweden
| | - Konstantinos K. Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Christopher Millett
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, United Kingdom
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, NOVA University Lisbon, Lisbon, Portugal
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Elom K. Aglago
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Nutrition, Oslo New University College, Oslo, Norway
- Department of Research, The Cancer Registry of Norway, Oslo, Norway
| | - Marc J. Gunter
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Pietro Ferrari
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Inge Huybrechts
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
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12
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O'Connor LE, Higgins KA, Smiljanec K, Bergia R, Brown AW, Baer D, Davis C, Ferruzzi MG, Miller K, Rowe S, Rueda JMW, Andres A, Cash SB, Coupland J, Crimmins M, Fiecke C, Forde CG, Fukagawa NK, Hall KD, Hamaker B, Herrick KA, Hess JM, Heuven LA, Juul F, Malcomson FC, Martinez-Steele E, Mattes RD, Messina M, Mitchell A, Zhang FF. Perspective: A Research Roadmap about Ultra-Processed Foods and Human Health for the United States Food System: Proceedings from an Interdisciplinary, Multi-Stakeholder Workshop. Adv Nutr 2023; 14:1255-1269. [PMID: 37722488 PMCID: PMC10721509 DOI: 10.1016/j.advnut.2023.09.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 09/06/2023] [Accepted: 09/13/2023] [Indexed: 09/20/2023] Open
Abstract
Our objective was to convene interdisciplinary experts from government, academia, and industry to develop a Research Roadmap to identify research priorities about processed food intake and risk for obesity and cardiometabolic diseases (CMD) among United States populations. We convened attendees at various career stages with diverse viewpoints in the field. We held a "Food Processing Primer" to build foundational knowledge of how and why foods are processed, followed by presentations about how processed foods may affect energy intake, obesity, and CMD risk. Breakout groups discussed potential mechanistic and confounding explanations for associations between processed foods and obesity and CMD risk. Facilitators created research questions (RQs) based on key themes from discussions. Different breakout groups convened to discuss what is known and unknown for each RQ and to develop sub-RQs to address gaps. Workshop attendees focused on ultra-processed foods (UPFs; Nova Group 4) because the preponderance of evidence is based on this classification system. Yet, heterogeneity and subjectivity in UPF classification was a challenge for RQ development. The 6 RQs were: 1) What objective methods or measures could further categorize UPFs, considering food processing, formulation, and the interaction of the two? 2) How can exposure assessment of UPF intake be improved? 3) Does UPF intake influence risk for obesity or CMDs, independent of diet quality? 4) What, if any, attributes of UPFs influence ingestive behavior and contribute to excess energy intake? 5) What, if any, attributes of UPFs contribute to clinically meaningful metabolic responses? 6) What, if any, external environmental factors lead people to consume high amounts of UPFs? Uncertainty and complexity around UPF intake warrant further complementary and interdisciplinary causal, mechanistic, and methodological research related to obesity and CMD risk to understand the utility of applying classification by degree of processing to foods in the United States.
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Affiliation(s)
- Lauren E O'Connor
- Agricultural Research Service, US Department of Agriculture, Beltsville, MD, United States.
| | - Kelly A Higgins
- Agricultural Research Service, US Department of Agriculture, Beltsville, MD, United States
| | | | - Robert Bergia
- Archer Daniels Midland (ADM), Decatur, IL, United States
| | - Andrew W Brown
- University of Arkansas for Medical Sciences and Arkansas Children's Research Institute, Little Rock, AR, United States
| | - David Baer
- Agricultural Research Service, US Department of Agriculture, Beltsville, MD, United States
| | - Cindy Davis
- Agricultural Research Service, US Department of Agriculture, Beltsville, MD, United States
| | - Mario G Ferruzzi
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States; Arkansas Children's Nutrition Center, Little Rock, AR, United States
| | - Kevin Miller
- Bell Institute of Health & Nutrition, General Mills, Minneapolis, MN, United States
| | | | | | - Aline Andres
- University of Arkansas for Medical Sciences and Arkansas Children's Nutrition Center, Little Rock, AR, United States
| | - Sean B Cash
- Friedman School of Nutrition Science and Policy at Tufts University, Boston, MA, United States
| | - John Coupland
- Penn State University, University Park, PA, United States
| | - Meghan Crimmins
- University of Arkansas for Medical Sciences and Arkansas Children's Nutrition Center, Little Rock, AR, United States
| | - Chelsey Fiecke
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States; Arkansas Children's Nutrition Center, Little Rock, AR, United States
| | - Ciarán G Forde
- Wageningen University and Research, Wageningen, The Netherlands
| | - Naomi K Fukagawa
- Agricultural Research Service, US Department of Agriculture, Beltsville, MD, United States
| | - Kevin D Hall
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Bruce Hamaker
- Purdue University, West Lafayette, IN, United States
| | - Kirsten A Herrick
- National Cancer Institute, National Institutes of Health, Rockville, MD, United States
| | - Julie M Hess
- Agricultural Research Service, US Department of Agriculture, Grand Forks, ND, United States
| | - Lise Aj Heuven
- Wageningen University and Research, Wageningen, The Netherlands
| | - Filippa Juul
- New York University School of Global Public Health, New York, NY, United States
| | | | | | | | - Mark Messina
- Soy Nutrition Institute Global, Pittsfield, MA, United States
| | - Alyson Mitchell
- Food Science and Technology, University of California at Davis, CA, United States
| | - Fang Fang Zhang
- Friedman School of Nutrition Science and Policy at Tufts University, Boston, MA, United States
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Donat-Vargas C, Guallar-Castillon P, Nyström J, Larsson SC, Kippler M, Vahter M, Faxén-Irving G, Michaelsson K, Wolk A, Stenvinkel P, Åkesson A. Urinary phosphate is associated with cardiovascular disease incidence. J Intern Med 2023; 294:358-369. [PMID: 37330983 DOI: 10.1111/joim.13686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
INTRODUCTION Elevated phosphate (P) in urine may reflect a high intake of inorganic P salts from food additives. Elevated P in plasma is linked to vascular dysfunction and calcification. OBJECTIVE To explore associations between P in urine as well as in plasma and questionnaire-estimated P intake, and incidence of cardiovascular disease (CVD). METHODS We used the Swedish Mammography Cohort-Clinical, a population-based cohort study. At baseline (2004-2009), P was measured in urine and plasma in 1625 women. Dietary P was estimated via a food-frequency questionnaire. Incident CVD was ascertained via register-linkage. Associations were assessed using Cox proportional hazards regression. RESULTS After a median follow-up of 9.4 years, 164 composite CVD cases occurred (63 myocardial infarctions [MIs] and 101 strokes). Median P (percentiles 5-95) in urine and plasma were 2.4 (1.40-3.79) mmol/mmol creatinine and 1.13 (0.92-1.36) mmol/L, respectively, whereas dietary P intake was 1510 (1148-1918) mg/day. No correlations were observed between urinary and plasma P (r = -0.07) or dietary P (r = 0.10). Urinary P was associated with composite CVD and MI. The hazard ratio of CVD comparing extreme tertiles was 1.57 (95% confidence interval 1.05, 2.35; P trend 0.037)-independently of sodium excretion, the estimated glomerular filtration rate, both P and calcium in plasma, and diuretic use. Association with CVD for plasma P was 1.41 (0.96, 2.07; P trend 0.077). CONCLUSION Higher level of urinary P, likely reflecting a high consumption of highly processed foods, was linked to CVD. Further investigation is needed to evaluate the potential cardiovascular toxicity associated with excessive intake of P beyond nutritional requirements.
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Affiliation(s)
- Carolina Donat-Vargas
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- ISGlobal, Barcelona, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-IdiPaz, CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
| | - Pilar Guallar-Castillon
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-IdiPaz, CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
| | - Jenny Nyström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Maria Kippler
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Marie Vahter
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Gerd Faxén-Irving
- Department of Neurobiology, Care Sciences and Society (NVS), Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
| | - Karl Michaelsson
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Peter Stenvinkel
- Department of Renal Medicine, CLINTEC, Karolinska Institutet, Stockholm, Sweden
| | - Agneta Åkesson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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14
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Abstract
Food-based dietary guidelines have been the basis of public health recommendations for over half a century, but more recently, there has been a trend to classify the health properties of food not by its nutrient composition, but by the degree to which it has been processed. This concept has been supported by many association studies, narrative reviews and the findings from one randomised controlled feeding trial, which demonstrated the sustained effect of ultra-processed diets on increasing both energy intake and body weight. This has led to widespread speculation as to specific features of ultra-processed foods that promote increased energy intakes. Rising interest in the ultra-processed topic has led to proposals to include guidance and restrictions on the consumption of processed foods in national dietary guidelines, with some countries encouraging consumers to avoid highly processed foods completely, and only choose minimally processed foods. However, there remains a lack of consensus on the role of processed foods in human health when faced with the challenges of securing the food supply for a growing global population, that is, healthy, affordable and sustainable. There has also been criticism of the subjective nature of definitions used to differentiate foods by their degree of processing, and there is currently a lack of empirical data to support a clear mechanism by which highly processed foods promote greater energy intakes. Recommendations to avoid all highly processed foods are potentially harmful if they remove affordable sources of nutrients and will be impractical for most when an estimated two-thirds of current energy purchased are from processed or ultra-processed foods. The current review highlights some considerations when interpreting the dietary association studies that link processed food intake to health and offers a critique on some of the mechanisms proposed to explain the link between ultra-processed food and poor health. Recent research suggests a combination of higher energy density and faster meal eating rates are likely to influence meal size and energy intakes from processed foods and offers new perspectives on how to manage this in the future. In going beyond the ultra-processed debate, the aim is to summarise some important considerations when interpreting existing data and identify the important gaps for future research on the role of processed food in health.
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Affiliation(s)
- Ciarán G Forde
- Sensory Science and Eating Behaviour, Division of Human Nutrition and Health, Wageningen University and Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands
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15
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Bjøntegaard MM, Molin M, Kolby M, Torheim LE. Purchase of ultra-processed foods in Norway: a repeated cross-sectional analysis of food sales in 2013 and 2019. Public Health Nutr 2023; 26:1743-1753. [PMID: 37339927 PMCID: PMC10478042 DOI: 10.1017/s1368980023001192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 05/04/2023] [Accepted: 06/14/2023] [Indexed: 06/22/2023]
Abstract
OBJECTIVE A dietary pattern dominated by ultra-processed foods has been associated with non-communicable diseases in several studies. A previous study from 2013 found a high share of ultra-processed foods in Norwegian food sales. This study aimed to investigate the current share of ultra-processed foods in Norway and the development in expenditure on ultra-processed foods from 2013. DESIGN A repeated cross-sectional analysis of scanner data from the Consumer Price Index from September 2013 and 2019 and an investigation of the processing degree according to the NOVA classification system. SETTING Food sales in Norway. PARTICIPANTS Norwegian grocery stores (n 180, for both time periods). RESULTS The share of expenditure in 2019 was highest for ultra-processed foods (46·5 %) and minimally or unprocessed foods (36·3 %), followed by processed foods (8·5 %) and processed culinary ingredients (1·3 %). An increasing degree of processing was found for several of the food groups between 2013 and 2019; however, most effect sizes were weak. In 2019, soft drinks became the most frequently purchased food item, surpassing milk and cheese, with the highest expenditure in Norwegian grocery stores. Increases in expenditure on ultra-processed foods were mainly due to increased expenditures on soft drinks, sweets and potato products. CONCLUSIONS A high share of expenditure on ultra-processed food was found in Norway, which may imply a high consumption of these foods. The change in expenditure of NOVA groups between 2013 and 2019 was small. Carbonated and non-carbonated soft drinks were the most frequently purchased products in Norwegian grocery stores and contributed to most of the expenditures.
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Affiliation(s)
- Marie Michaelsen Bjøntegaard
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, P.O. Box 4 St. Olavs Plass, N-0130 Oslo, Norway
- Department of Nutrition, Faculty of Medicine, University of Oslo, Sognsvannsveien 9, 0372 Oslo, Norway
| | - Marianne Molin
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, P.O. Box 4 St. Olavs Plass, N-0130 Oslo, Norway
- Department of Health Sciences, Oslo New University College, NO-0456 Oslo, Norway
| | - Marit Kolby
- Department of Health Sciences, Oslo New University College, NO-0456 Oslo, Norway
| | - Liv Elin Torheim
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, P.O. Box 4 St. Olavs Plass, N-0130 Oslo, Norway
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16
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O'Connor LE, Hall KD, Herrick KA, Reedy J, Chung ST, Stagliano M, Courville AB, Sinha R, Freedman ND, Hong HG, Albert PS, Loftfield E. Metabolomic Profiling of an Ultraprocessed Dietary Pattern in a Domiciled Randomized Controlled Crossover Feeding Trial. J Nutr 2023; 153:2181-2192. [PMID: 37276937 PMCID: PMC10447619 DOI: 10.1016/j.tjnut.2023.06.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/30/2023] [Accepted: 06/02/2023] [Indexed: 06/07/2023] Open
Abstract
BACKGROUND Objective markers of ultraprocessed foods (UPF) may improve the assessment of UPF intake and provide insight into how UPF influences health. OBJECTIVES To identify metabolites that differed between dietary patterns (DPs) high in or void of UPF according to Nova classification. METHODS In a randomized, crossover, controlled-feeding trial (clinicaltrials.govNCT03407053), 20 domiciled healthy participants (mean ± standard deviation: age 31 ± 7 y, body mass index [kg/m2] 22 ± 11.6) consumed ad libitum a UPF-DP (80% UPF) and an unprocessed DP (UN-DP; 0% UPF) for 2 wk each. Metabolites were measured using liquid chromatography with tandem mass spectrometry in ethylenediaminetetraacetic acid plasma, collected at week 2 and 24-h, and spot urine, collected at weeks 1 and 2, of each DP. Linear mixed models, adjusted for energy intake, were used to identify metabolites that differed between DPs. RESULTS After multiple comparisons correction, 257 out of 993 plasma and 606 out of 1279 24-h urine metabolites differed between UPF-DP and UN-DP. Overall, 21 known and 9 unknown metabolites differed between DPs across all time points and biospecimen types. Six metabolites were higher (4-hydroxy-L-glutamic acid, N-acetylaminooctanoic acid, 2-methoxyhydroquinone sulfate, 4-ethylphenylsulfate, 4-vinylphenol sulfate, and acesulfame) and 14 were lower following the UPF-DP; pimelic acid, was lower in plasma but higher in urine following the UPF-DP. CONCLUSIONS Consuming a DP high in, compared with 1 void of, UPF has a measurable impact on the short-term human metabolome. Observed differential metabolites could serve as candidate biomarkers of UPF intake or metabolic response in larger samples with varying UPF-DPs. This trial was registered at clinicaltrials.gov as NCT03407053 and NCT03878108.
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Affiliation(s)
- Lauren E O'Connor
- Food Components and Health Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Service, USDA, Beltsville, MD, USA; Division of Cancer Control and Population Sciences, Risk Factor Assessment Branch, NCI, Bethesda, MD, USA
| | - Kevin D Hall
- Laboratory of Biological Modeling, NIDDK, Bethesda, MD, USA
| | - Kirsten A Herrick
- Division of Cancer Control and Population Sciences, Risk Factor Assessment Branch, NCI, Bethesda, MD, USA
| | - Jill Reedy
- Division of Cancer Control and Population Sciences, Risk Factor Assessment Branch, NCI, Bethesda, MD, USA
| | - Stephanie T Chung
- Diabetes, Endocrinology, and Obesity Branch, NIDDK, Bethesda, MD, USA
| | - Michael Stagliano
- Diabetes, Endocrinology, and Obesity Branch, NIDDK, Bethesda, MD, USA
| | - Amber B Courville
- Diabetes, Endocrinology, and Obesity Branch, NIDDK, Bethesda, MD, USA
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, NCI, Bethesda, MD, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, NCI, Bethesda, MD, USA
| | - Hyokyoung G Hong
- Division of Cancer Epidemiology and Genetics, Biostatistics Branch, NCI, Bethesda, MD, USA
| | - Paul S Albert
- Division of Cancer Epidemiology and Genetics, Biostatistics Branch, NCI, Bethesda, MD, USA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, NCI, Bethesda, MD, USA.
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17
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Martinez-Steele E, Khandpur N, Batis C, Bes-Rastrollo M, Bonaccio M, Cediel G, Huybrechts I, Juul F, Levy RB, da Costa Louzada ML, Machado PP, Moubarac JC, Nansel T, Rauber F, Srour B, Touvier M, Monteiro CA. Best practices for applying the Nova food classification system. NATURE FOOD 2023; 4:445-448. [PMID: 37264165 DOI: 10.1038/s43016-023-00779-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Affiliation(s)
- Euridice Martinez-Steele
- Department of Nutrition, School of Public Health, University of Sao Paulo, São Paulo, Brazil
- Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil
| | - Neha Khandpur
- Department of Nutrition, School of Public Health, University of Sao Paulo, São Paulo, Brazil.
- Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
- Department of Human Health and Nutrition, Wageningen University, Wageningen, Netherlands.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Carolina Batis
- Health and Nutrition Research Center, National Institute of Public Health, Cuernavaca, Mexico
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- CIBERobn, Instituto de Salud Carlos III, Madrid, Spain
| | - Marialaura Bonaccio
- Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli, Italy
| | | | - Inge Huybrechts
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Filippa Juul
- Department of Public Health Policy and Management, School of Global Public Health, New York University, New York, NY, USA
| | - Renata B Levy
- Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Maria Laura da Costa Louzada
- Department of Nutrition, School of Public Health, University of Sao Paulo, São Paulo, Brazil
- Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil
| | - Priscila P Machado
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Jean-Claude Moubarac
- Department of Nutrition, Faculty of Medicine, Université de Montréal, Quebec, Canada
| | - Tonja Nansel
- Social and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - Fernanda Rauber
- Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Bernard Srour
- Université Sorbonne Paris Nord, Bobigny, France
- Université Paris Cité, Paris, France
- INSERM, Paris, France
- INRAE, Paris, France
- CNAM, Paris, France
- Nutritional Epidemiology Research Team (EREN) of the Center of Research in Epidemiology and StatisticS (CRESS), Bobigny, France
| | - Mathilde Touvier
- Université Sorbonne Paris Nord, Bobigny, France
- Université Paris Cité, Paris, France
- INSERM, Paris, France
- INRAE, Paris, France
- CNAM, Paris, France
- Nutritional Epidemiology Research Team (EREN) of the Center of Research in Epidemiology and StatisticS (CRESS), Bobigny, France
| | - Carlos A Monteiro
- Department of Nutrition, School of Public Health, University of Sao Paulo, São Paulo, Brazil.
- Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
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18
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Shinozaki N, Murakami K, Masayasu S, Sasaki S. Highly Processed Food Consumption and Its Association with Anthropometric, Sociodemographic, and Behavioral Characteristics in a Nationwide Sample of 2742 Japanese Adults: An Analysis Based on 8-Day Weighed Dietary Records. Nutrients 2023; 15:nu15051295. [PMID: 36904297 PMCID: PMC10005625 DOI: 10.3390/nu15051295] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/24/2023] [Accepted: 03/03/2023] [Indexed: 03/09/2023] Open
Abstract
This cross-sectional study assessed highly processed food (HPF) consumption and its association with individual characteristics in a nationwide sample of Japanese adults. Eight-day weighed dietary records were obtained from 2742 free-living adults aged 18-79 years across Japan. HPFs were identified based on a classification method developed by researchers at the University of North Carolina at Chapel Hill. The basic characteristics of the participants were assessed using a questionnaire. On average, HPF contributed to 27.9% of daily energy intake. The contribution of HPF to the daily intake of 31 nutrients ranged from 5.7% for vitamin C to 99.8% for alcohol (median, 19.9%). Cereals and starchy foods were the main food groups that contributed to the total energy intake of HPF. Multiple regression analysis showed that the older group (60-79 years) had a lower HPF energy contribution than the younger group (18-39 y) (regression coefficient (β) = -3.55, p < 0.0001). Compared to current smokers, past and never-smokers had lower HPF energy contributions (β = -1.41, p < 0.02; and -4.20, p < 0.0001, respectively). In conclusion, HPFs account for approximately one-third of energy intake in Japan. Younger age and current smoking status should be considered in future intervention strategies to reduce HPF consumption.
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Affiliation(s)
- Nana Shinozaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Kentaro Murakami
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Correspondence: ; Tel.: +81-3-5841-7872; Fax: +81-3-5841-7873
| | | | - Satoshi Sasaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
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19
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Kliemann N, Rauber F, Bertazzi Levy R, Viallon V, Vamos EP, Cordova R, Freisling H, Casagrande C, Nicolas G, Aune D, Tsilidis KK, Heath A, Schulze MB, Jannasch F, Srour B, Kaaks R, Rodriguez-Barranco M, Tagliabue G, Agudo A, Panico S, Ardanaz E, Chirlaque MD, Vineis P, Tumino R, Perez-Cornago A, Andersen JLM, Tjønneland A, Skeie G, Weiderpass E, Monteiro CA, Gunter MJ, Millett C, Huybrechts I. Food processing and cancer risk in Europe: results from the prospective EPIC cohort study. Lancet Planet Health 2023; 7:e219-e232. [PMID: 36889863 PMCID: PMC10009757 DOI: 10.1016/s2542-5196(23)00021-9] [Citation(s) in RCA: 33] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 06/09/2022] [Accepted: 01/25/2023] [Indexed: 05/12/2023]
Abstract
BACKGROUND Food processing has been hypothesised to play a role in cancer development; however, data from large-scale epidemiological studies are scarce. This study investigated the association between dietary intake according to amount of food processing and risk of cancer at 25 anatomical sites using data from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. METHODS This study used data from the prospective EPIC cohort study, which recruited participants between March 18, 1991, and July 2, 2001, from 23 centres in ten European countries. Participant eligibility within each cohort was based on geographical or administrative boundaries. Participants were excluded if they had a cancer diagnosis before recruitment, had missing information for the NOVA food processing classification, or were within the top and bottom 1% for ratio of energy intake to energy requirement. Validated dietary questionnaires were used to obtain information on food and drink consumption. Participants with cancer were identified using cancer registries or during follow-up from a combination of sources, including cancer and pathology centres, health insurance records, and active follow-up of participants. We performed a substitution analysis to assess the effect of replacing 10% of processed foods and ultra-processed foods with 10% of minimally processed foods on cancer risk at 25 anatomical sites using Cox proportional hazard models. FINDINGS 521 324 participants were recruited into EPIC, and 450 111 were included in this analysis (318 686 [70·8%] participants were female individuals and 131 425 [29·2%] were male individuals). In a multivariate model adjusted for sex, smoking, education, physical activity, height, and diabetes, a substitution of 10% of processed foods with an equal amount of minimally processed foods was associated with reduced risk of overall cancer (hazard ratio 0·96, 95% CI 0·95-0·97), head and neck cancers (0·80, 0·75-0·85), oesophageal squamous cell carcinoma (0·57, 0·51-0·64), colon cancer (0·88, 0·85-0·92), rectal cancer (0·90, 0·85-0·94), hepatocellular carcinoma (0·77, 0·68-0·87), and postmenopausal breast cancer (0·93, 0·90-0·97). The substitution of 10% of ultra-processed foods with 10% of minimally processed foods was associated with a reduced risk of head and neck cancers (0·80, 0·74-0·88), colon cancer (0·93, 0·89-0·97), and hepatocellular carcinoma (0·73, 0·62-0·86). Most of these associations remained significant when models were additionally adjusted for BMI, alcohol and dietary intake, and quality. INTERPRETATION This study suggests that the replacement of processed and ultra-processed foods and drinks with an equal amount of minimally processed foods might reduce the risk of various cancer types. FUNDING Cancer Research UK, l'Institut National du Cancer, and World Cancer Research Fund International.
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Affiliation(s)
- Nathalie Kliemann
- International Agency for Research on Cancer, World Heath Organization, Lyon, France
| | - Fernanda Rauber
- Preventive Medicine Department of the Medical School, University of São Paulo, São Paulo, Brazil
| | - Renata Bertazzi Levy
- Preventive Medicine Department of the Medical School, University of São Paulo, São Paulo, Brazil
| | - Vivian Viallon
- International Agency for Research on Cancer, World Heath Organization, Lyon, France
| | - Eszter P Vamos
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, St Mary's Campus, London, UK
| | - Reynalda Cordova
- International Agency for Research on Cancer, World Heath Organization, Lyon, France
| | - Heinz Freisling
- International Agency for Research on Cancer, World Heath Organization, Lyon, France
| | - Corinne Casagrande
- International Agency for Research on Cancer, World Heath Organization, Lyon, France
| | - Genevieve Nicolas
- International Agency for Research on Cancer, World Heath Organization, Lyon, France
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK; Department of Nutrition, Oslo New University College, Oslo, Norway; Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Alicia Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Franziska Jannasch
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; NutriAct-Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany
| | - Bernard Srour
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Miguel Rodriguez-Barranco
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain; Instituto de Investigación Biosanitaria, Granada, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Giovanna Tagliabue
- Cancer Registry Unit Fondazione IRCCS, Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO), Nutrition and Cancer Group, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Eva Ardanaz
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Navarra Public Health Institute, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - María-Dolores Chirlaque
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
| | - Paolo Vineis
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, St Mary's Campus, London, UK
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Provincial Health Authority (ASP) Ragusa, Italy
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Anne Tjønneland
- Danish Cancer Society Research Center, Unit of Diet, Genes and Environment, Copenhagen, Denmark
| | - Guri Skeie
- Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Heath Organization, Lyon, France
| | - Carlos Augusto Monteiro
- Department of Nutrition of the Faculty of Public Health, University of São Paulo, São Paulo, Brazil
| | - Marc J Gunter
- International Agency for Research on Cancer, World Heath Organization, Lyon, France
| | - Christopher Millett
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, St Mary's Campus, London, UK; NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Centre (CHRC), NOVA University Lisbon, Lisbon, Portugal
| | - Inge Huybrechts
- International Agency for Research on Cancer, World Heath Organization, Lyon, France.
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