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Cairat M, Yammine S, Fiolet T, Fournier A, Boutron-Ruault MC, Laouali N, Mancini FR, Severi G, Berstein FM, Rauber F, Levy RB, Skeie G, Borch KB, Tjønneland A, Mellemkjær L, Borné Y, Rosendahl AH, Masala G, Giraudo MT, de Magistris MS, Katzke V, Bajracharya R, Santiuste C, Amiano P, Bodén S, Castro-Espin C, Sánchez MJ, Touvier M, Deschasaux-Tanguy M, Srour B, Schulze MB, Guevara M, Kliemann N, Lopez JB, Al Nahas A, Chang K, Vamos EP, Millett C, Riboli E, Heath AK, Biessy C, Viallon V, Casagrande C, Nicolas G, Gunter MJ, Huybrechts I. Degree of food processing and breast cancer risk: a prospective study in 9 European countries. FOOD PRODUCTION, PROCESSING AND NUTRITION 2024; 6:89. [PMID: 39399144 PMCID: PMC11468235 DOI: 10.1186/s43014-024-00264-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 04/25/2024] [Indexed: 10/15/2024]
Abstract
Recent epidemiological studies have suggested a positive association between ultra-processed food consumption and breast cancer risk, although some studies also reported no association. Furthermore, the evidence regarding the associations between intake of food with lower degrees of processing and breast cancer risk is limited. Thus, we investigated the associations between dietary intake by degree of food processing and breast cancer risk, overall and by breast cancer subtypes in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Dietary intake of EPIC participants was assessed via questionnaires at baseline. More than 11,000 food ingredients were classified into four groups of food processing levels using the NOVA classification system: unprocessed/minimally processed (NOVA 1), culinary ingredients (NOVA 2), processed (NOVA 3) and ultra-processed (NOVA 4). Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of breast cancer per standard deviation increase in daily consumption (grams) of foods from each NOVA group. The current analysis included 14,933 breast cancer cases, diagnosed among the 318,686 EPIC female participants, (median follow-up of 14.9 years). No associations were found between breast cancer risk and the level of dietary intake from NOVA 1 [HR per 1 SD=0.99 (95% CI 0.97 - 1.01)], NOVA 2 [HR per 1 SD =1.01 (95% CI 0.98 - 1.03)] and NOVA 4 [HR per 1 SD =1.01 (95% CI 0.99 - 1.03)] foods. However, a positive association was found between NOVA 3 and breast cancer risk [HR per 1 SD =1.05 (95% CI 1.03 - 1.07)] which became non-significant after adjustment for alcohol intake [HR per 1 SD =1.01 (95% CI 0.98 - 1.05)] or when beer and wine were excluded from this group [HR per 1 SD =0.99 (95% CI 0.97 - 1.01)]. The associations did not differ by breast cancer subtype, menopausal status or body mass index. Findings from this large-scale prospective study suggest that the positive association between processed food intake and breast cancer risk was likely driven by alcoholic beverage consumption. Graphical Abstract Supplementary Information The online version contains supplementary material available at 10.1186/s43014-024-00264-2.
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Affiliation(s)
- Manon Cairat
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805 Villejuif, France
- Inserm U1018, “Exposome, Heredity, Cancer, and Health” Team, Hôpital Paul Brousse, Bâtiment 15/16, 16 avenue Paul Vaillant Couturier, 94807 VILLEJUIF CEDEX, France
| | - Sahar Yammine
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017 Bobigny, France
| | - Thibault Fiolet
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805 Villejuif, France
| | - Agnès Fournier
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805 Villejuif, France
| | | | - Nasser Laouali
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805 Villejuif, France
| | | | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805 Villejuif, France
| | - Fernanda Morales Berstein
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Fernanda Rauber
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Renata Bertazzi Levy
- Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, UiT – the Arctic University of Norway, Tromsø, Norway
| | - Kristin Benjaminsen Borch
- Department of Community Medicine, Faculty of Health Sciences, UiT – the Arctic University of Norway, Tromsø, Norway
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | | | - Yan Borné
- Nutrition Epidemiology, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
| | - Ann H. Rosendahl
- Department of Clinical Sciences Lund, Oncology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Maria Teresa Giraudo
- Department of Clinical and Biological Sciences and Centre for Biostatistics, Epidemiology, and Public Health (C-BEPH), Turin, Italy
| | | | - 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
| | - Carmen Santiuste
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, 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
- Epidemiology of Chronic and Communicable Diseases Group, Biodonostia Health Research Institute, San Sebastián, Spain
- Sub Directorate for Public Health and Addictions of Gipuzkoa, Ministry of Health of the Basque Government, San Sebastian, Spain
| | - Stina Bodén
- Department of Clinical Sciences, Pediatrics, Umeå University, Umeå, Sweden
| | - Carlota Castro-Espin
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Av. Granvia de L’Hospitalet 199-203, L’Hospitalet de Llobregat, Barcelona, Spain
- Unit of Nutrition and Cancer, Epidemiology, Public Health, Cancer Prevention and Palliative Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Av. Granvia de L’Hospitalet, 199-203 Barcelona, Spain
| | - Maria-Jose Sánchez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 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
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017 Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Paris, France
| | - Mélanie Deschasaux-Tanguy
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017 Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Paris, France
| | - Bernard Srour
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017 Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Paris, France
| | - 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
| | - 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, 31003 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Nathalie Kliemann
- Cancer Hospital and Research Centre of Santa Catarina (CEPON), Florianópolis, Brazil
| | - Jessica Blanco Lopez
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Aline Al Nahas
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Kiara Chang
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - Eszter P. Vamos
- Public Health Policy Evaluation Unit, 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
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Carine Biessy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Vivian Viallon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Corinne Casagrande
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Genevieve Nicolas
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Marc J. Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Inge Huybrechts
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
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Singh S. Factors influencing perceptions of processed baby foods and feeding practices among Indian mothers: a qualitative investigation. BMC Public Health 2024; 24:2734. [PMID: 39379900 PMCID: PMC11460025 DOI: 10.1186/s12889-024-19631-2] [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: 02/28/2024] [Accepted: 07/29/2024] [Indexed: 10/10/2024] Open
Abstract
OBJECTIVE To explore how professionally qualified, working Indian mothers conceptualize healthy foods in general, perceive processed infant and baby foods available commercially and what feeding practices they actually follow with their children at home. DESIGN Five focus groups with 8-12 participants were conducted around the participants' conceptualization of healthy food, their perceptions about commercially available processed baby and infant foods and their actual feeding practices that they routinely follow with their children. Discussion transcripts were analyzed using an inductive coding approach. SETTING India. PARTICIPANTS Fifty-one professionally qualified, working women with at least one child under 5 years of age. RESULTS Participants agreed that fresh food is healthiest. They also had favorable opinions about processed infant and baby foods with regards to healthfulness, hygiene and safety. Healthy foods were largely conceptualized in relation to nutrient claims, ingredients and discernible health outcomes. They use cues, such as health claims, brand, price, package design and others to determine healthfulness of the product. Perception was heavily influenced by these extrinsic cues rather than by participants' own nutrition knowledge. Despite having the knowledge, most participants admitted to using these foods on account of factors such as their own inability to lactate, social pressure, lack of time and convenience. CONCLUSIONS Most educated and well off people continue to use these products. While they rue the lack of stringent regulatory measures in India, they feel there is an urgent need to address this huge policy gap by way of legislation and regulation.
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Affiliation(s)
- Suruchi Singh
- NMIMS, Mumbai, India.
- Indian Institute of Management Ahmedabad, Ahmedabad, India.
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Zhao H, Bai Y, Liu Y, Xing Y, Yan Y, Chen G, Chen J, Wang X, Chen C, Zhang Z. Association of ultraprocessed food consumption with risk of rheumatoid arthritis: a retrospective cohort study in the UK Biobank. Am J Clin Nutr 2024; 120:927-935. [PMID: 39163975 DOI: 10.1016/j.ajcnut.2024.08.014] [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: 05/10/2024] [Revised: 08/02/2024] [Accepted: 08/16/2024] [Indexed: 08/22/2024] Open
Abstract
BACKGROUND Limited studies explored the association between consumption of ultraprocessed food (UPF) and rheumatoid arthritis (RA). OBJECTIVES This study aimed to examine the association between UPF consumption and RA risk and explore the potential mediating effects of RA-related biomarkers. METHODS This retrospective cohort study included 207,012 participants without RA at recruitment and completed 24-h dietary recalls. UPF was defined based on the NOVA food classification system. Incident RA was ascertained using the International Classification of Diseases version 10. Cox regression models were used to examine the association between UPF consumption and the incidence of RA. Additionally, mediation analyses were conducted to evaluate the contribution of biomarkers related to the lipid profile, systemic inflammatory factors, serum liver enzymes, and glucose metabolism to the observed associations. RESULTS The participants' mean (standard deviation [SD]) age at recruitment was 56.08 (7.95) y. During a median follow-up of 12.24 (interquartile range: 11.66-13.03) y, 1869 RA events were recorded. Compared with the lowest quintile of UPF consumption (weight percentage of the UPF), the adjusted hazard ratio (HR) of RA in the highest quintile was 1.17 (95% confidence interval (CI): 1.01, 1.36). There was a 6% elevated risk of RA incidence per SD increase in UPF intake (HR: 1.06; 95% CI: 1.01, 1.11). In the mediation analyses, the biomarkers explained 3.07%-14.80% of the association between UPF intake and RA. CONCLUSIONS Higher UPF consumption was associated with an increased risk of RA, which may be mediated by inflammation, lipids, and liver enzymes. Lower UPF consumption is recommended to reduce RA incidence.
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Affiliation(s)
- Haodong Zhao
- Pediatric Clinical Research Institute, Children's Hospital of Soochow University, Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Yujie Bai
- Pediatric Clinical Research Institute, Children's Hospital of Soochow University, Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Yujie Liu
- Pediatric Clinical Research Institute, Children's Hospital of Soochow University, Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Yifei Xing
- Pediatric Clinical Research Institute, Children's Hospital of Soochow University, Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Yilin Yan
- Pediatric Clinical Research Institute, Children's Hospital of Soochow University, Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Guochong Chen
- Pediatric Clinical Research Institute, Children's Hospital of Soochow University, Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Jingsi Chen
- Pediatric Clinical Research Institute, Children's Hospital of Soochow University, Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Xiaodong Wang
- Pediatric Clinical Research Institute, Children's Hospital of Soochow University, Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China; Department of Orthopaedics, Children's Hospital of Soochow University, Suzhou, China
| | - Cailong Chen
- Pediatric Clinical Research Institute, Children's Hospital of Soochow University, Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China.
| | - Zheng Zhang
- Pediatric Clinical Research Institute, Children's Hospital of Soochow University, Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China.
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Ghosh-Jerath S, Khandpur N, Kumar G, Kohli S, Singh M, Bhamra IK, Marrocos-Leite FH, Reddy KS. Mapping ultra-processed foods (UPFs) in India: a formative research study. BMC Public Health 2024; 24:2212. [PMID: 39143524 PMCID: PMC11323379 DOI: 10.1186/s12889-024-19624-1] [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: 07/04/2023] [Accepted: 07/29/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND Increased consumption of ultra-processed foods (UPFs) which have additives such as artificial colours, flavours and are usually high in salt, sugar, fats and specific preservatives, are associated with diet-related non-communicable diseases (NCDs). In India, there are no standard criteria for identifying UPFs using a classification system based on extent and purpose of industrial processing. Scientific literature on dietary intake of foods among Indian consumers classifies foods as unhealthy based on presence of excessive amounts of specific nutrients which makes it difficult to distinguish UPFs from other commercially available processed foods. METHODS A literature review followed by an online grocery retailer scan for food label reading was conducted to map the types of UPFs in Indian food market and scrutinize their ingredient list for the presence of ultra-processed ingredients. All UPFs identified were randomly listed and then grouped into categories, followed by saliency analysis to understand preferred UPFs by consumers. Indian UPF categories were then finalized to inform a UPF screener. RESULTS A lack of application of a uniform definition for UPFs in India was observed; hence descriptors such as junk-foods, fast-foods, ready-to-eat foods, instant-foods, processed-foods, packaged-foods, high-fat-sugar-and-salt foods were used for denoting UPFs. After initial scanning of such foods reported in literature based on standard definition of UPFs, an online grocery retailer scan of food labels for 375 brands (atleast 3 brands for each food item) confirmed 81 food items as UPFs. A range of packaged traditional recipes were also found to have UPF ingredients. Twenty three categories of UPFs were then developed and subjected to saliency analysis. Breads, chips and sugar-sweetened beverages (e.g. sodas and cold-drinks) were the most preferred UPFs while frozen ready-to-eat/cook foods (e.g. chicken nuggets and frozen kebabs) were least preferred. CONCLUSION India needs to systematically apply a food classification system and define Indian food categories based on the level of industrial processing. Mapping of UPFs is the first step towards development of a quick screener that would generate UPF consumption data to inform clear policy guidelines and regulations around UPFs and address their impact on NCDs.
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Affiliation(s)
- Suparna Ghosh-Jerath
- The George Institute for Global Health, 308, Third Floor, Elegance Tower, Plot No. 8, Jasola District Centre, New Delhi, Delhi, 110025, India.
| | | | | | - Sahiba Kohli
- The George Institute for Global Health, 308, Third Floor, Elegance Tower, Plot No. 8, Jasola District Centre, New Delhi, Delhi, 110025, India
| | - Meenu Singh
- Public Health Foundation of India, New Delhi, India
| | | | - Fernanda H Marrocos-Leite
- Center for Epidemiological Research in Nutrition and Health, Faculty of Public Health, University of Sao Paulo, Sao Paulo, Brazil
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Pries AM, Bassetti E, Badham J, Baker P, Blankenship J, Dunford EK, Kupka R. Ultraprocessing and presence of additives in commercially produced complementary foods in seven Southeast Asian countries: a cross-sectional study. Am J Clin Nutr 2024; 120:310-319. [PMID: 38816268 PMCID: PMC11347792 DOI: 10.1016/j.ajcnut.2024.04.003] [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: 01/31/2024] [Revised: 03/25/2024] [Accepted: 04/02/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND There has been a dramatic shift in food systems, and the consumption of commercially processed and packaged foods has grown globally, including among older infants and young children. Many of these products are ultraprocessed and contain additives, with concerning implications for the health and nutrition of children. OBJECTIVES The study objectives were as follows: 1) to assess the levels of processing among different commercially produced complementary food product (CPCF) categories marketed in the Southeast Asia region, 2) to compare the nutrient content of CPCF products across levels of processing, and 3) to assess the types of additives present in different CPCF categories. METHODS This cross-sectional study involved secondary analysis of a cross-sectional dataset of product label information from CPCF purchased in 2021 in Cambodia, Indonesia, Lao People's Democratic Republic, Malaysia, Philippines, Thailand, and Viet Nam. Ingredient lists were reviewed to determine the level of processing-based on the Nova classification-and the presence of additives. Nutrient declaration panels were reviewed to determine total sugar, sodium, and total fat. RESULTS Nearly half of all CPCF were ultraprocessed, with total sugar and sodium content significantly higher among ultraprocessed CPCF than unprocessed/minimally processed products. Almost half of CPCF contained additives, with a median of 6 per product. More than 30% of all CPCF made use of cosmetic additives to enhance the products' appearance, flavor, or texture, with emulsifiers, colors, and thickeners the most prevalent. Almost one-third of products contained additives not permitted in Codex Alimentarius standards and guidelines for CPCF. CONCLUSIONS Findings from this study should alert national governments to both adopt and ensure enforcement of Codex guidance on additives and regulations enacted to encourage lower levels of processing for CPCF.
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Affiliation(s)
- Alissa M Pries
- UNICEF East Asia Pacific Regional Office, Bangkok, Thailand.
| | | | | | - Philip Baker
- Faculty of Medicine and Health, Sydney School of Public Health, University of Sydney, Sydney, Australia
| | | | - Elizabeth K Dunford
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia; Department of Nutrition, Gillings Global School of Public Health, the University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Roland Kupka
- UNICEF East Asia Pacific Regional Office, Bangkok, Thailand
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Dai S, Wellens J, Yang N, Li D, Wang J, Wang L, Yuan S, He Y, Song P, Munger R, Kent MP, MacFarlane AJ, Mullie P, Duthie S, Little J, Theodoratou E, Li X. Ultra-processed foods and human health: An umbrella review and updated meta-analyses of observational evidence. Clin Nutr 2024; 43:1386-1394. [PMID: 38688162 DOI: 10.1016/j.clnu.2024.04.016] [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: 11/27/2023] [Revised: 03/04/2024] [Accepted: 04/11/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND & AIMS Ultra-processed food (UPF) intake has increased sharply over the last few decades and has been consistently asserted to be implicated in the development of non-communicable diseases. We aimed to evaluate and update the existing observational evidence for associations between ultra-processed food (UPF) consumption and human health. METHODS We searched Medline and Embase from inception to March 2023 to identify and update meta-analyses of observational studies examining the associations between UPF consumption, as defined by the NOVA classification, and a wide spectrum of health outcomes. For each health outcome, we estimated the summary effect size, 95% confidence interval (CI), between-study heterogeneity, evidence of small-study effects, and evidence of excess-significance bias. These metrics were used to evaluate evidence credibility of the identified associations. RESULTS This umbrella review identified 39 meta-analyses on the associations between UPF consumption and health outcomes. We updated all meta-analyses by including 122 individual articles on 49 unique health outcomes. The majority of the included studies divided UPF consumption into quartiles, with the lowest quartile being the reference group. We identified 25 health outcomes associated with UPF consumption. For observational studies, 2 health outcomes, including renal function decline (OR: 1.25; 95% CI: 1.18, 1.33) and wheezing in children and adolescents (OR: 1.42; 95% CI: 1.34, 1.49), showed convincing evidence (Class I); and five outcomes were reported with highly suggestive evidence (Class II), including diabetes mellitus, overweight, obesity, depression, and common mental disorders. CONCLUSIONS High UPF consumption is associated with an increased risk of a variety of chronic diseases and mental health disorders. At present, not a single study reported an association between UPF intake and a beneficial health outcome. These findings suggest that dietary patterns with low consumption of UPFs may render broad public health benefits.
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Affiliation(s)
- Shuhui Dai
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Judith Wellens
- Translational Gastro-Intestinal Unit, Nuffield Department of Medicine, John Radcliffe Hospital, Oxford, UK; KU Leuven Department of Chronic Diseases and Metabolism, Translational Research Center for Gastrointestinal Disorders (TARGID), Leuven, Belgium
| | - Nan Yang
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Doudou Li
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Jingjing Wang
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lijuan Wang
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Shuai Yuan
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Yazhou He
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Peige Song
- School of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ron Munger
- Department of Nutrition and Food Sciences and the Center for Epidemiologic Studies, Utah State University, Logan, UT, USA
| | - Monique Potvin Kent
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Patrick Mullie
- International Prevention Research Institute, Lyon, France; Belgian Centre for Evidence-Based Medicine, Leuven, Belgium
| | - Susan Duthie
- School of Pharmacy and Life Sciences, The Robert Gordon University, Aberdeen, UK
| | - Julian Little
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK; Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Xue Li
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, China.
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Pellegrino F, Tan M, Richonnet C, Reinert R, Bucher Della Torre S, Chatelan A. What Is the Nutritional Quality of Pre-Packed Foods Marketed to Children in Food Stores? A Survey in Switzerland. Nutrients 2024; 16:1656. [PMID: 38892589 PMCID: PMC11175003 DOI: 10.3390/nu16111656] [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: 04/19/2024] [Revised: 05/25/2024] [Accepted: 05/26/2024] [Indexed: 06/21/2024] Open
Abstract
Food marketing targeting children influences their choices and dietary habits, and mainly promotes food high in fat, sugar, and salt as well as ultra-processed food. The aim of this study was to assess the nutritional quality of food and beverages marketed to children over the age of 3 and available on the Swiss market. Products with at least one marketing technique targeting children on the packaging were selected from five food store chains. Three criteria to assess nutritional quality were used: (1) nutritional composition (using the Nutri-Score), (2) degree of processing (NOVA classification), and (3) compliance with the World Health Organization (WHO) Nutrient Profile Model (NPM). A total of 735 products were found and analyzed. The most common marketing techniques used were childish names/fonts (46.9%), special characters (39.6%), and children's drawings (31.3%). Most products had a Nutri-Score of D or E (58.0%) and were ultra-processed (91.8%). Only 10.2% of products displayed the Nutri-Score. The least processed products generally had a better Nutri-Score (p < 0.001). Most products (92.8%) did not meet the criteria of the WHO NPM. Products that met the WHO NPM criteria, organic products, and products with a nutritional claim generally had a better Nutri-Score and were less processed (ps < 0.05). Pre-packaged foods and beverages marketed to children in the Swiss market were mostly of poor nutritional quality. Public health measures should be adopted to improve the nutritional quality of foods marketed to children in Switzerland and restrict the marketing of unhealthy foods to children.
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Affiliation(s)
- Fabien Pellegrino
- Department of Nutrition and Dietetics, Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Rue des Caroubiers 25, 1227 Carouge, Switzerland
| | - Monique Tan
- Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Celine Richonnet
- Club Européen des Diététiciens de l’Enfance (CEDE), Esplanade, 17-7800 Ath, Belgium
| | - Raphaël Reinert
- Federal Food Safety and Veterinary Office, Schwarzenburgstrasse 155, 3003 Bern, Switzerland
| | - Sophie Bucher Della Torre
- Department of Nutrition and Dietetics, Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Rue des Caroubiers 25, 1227 Carouge, Switzerland
| | - Angeline Chatelan
- Department of Nutrition and Dietetics, Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Rue des Caroubiers 25, 1227 Carouge, Switzerland
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Palu A, Santos JA, Silatolu AM, Deo A, Bell C, Waqa G, Webster J, McKenzie BL. Energy, nutrient and overall healthiness of processed packaged foods in Fiji, a comparison between 2018 and 2020. BMC Public Health 2024; 24:1383. [PMID: 38783234 PMCID: PMC11112809 DOI: 10.1186/s12889-024-18787-1] [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: 01/08/2024] [Accepted: 05/07/2024] [Indexed: 05/25/2024] Open
Abstract
In Fiji, packaged foods are becoming increasingly available. However, it is unknown if nutrition composition of these foods has changed. This study aims to assess changes in energy, nutrient content and healthiness of packaged foods by comparing data from five major supermarkets in Fiji in 2018 and 2020. Foods were categorised into 14 groups; nutrient composition information was extracted and healthiness assessed using Health Star Rating (HSR). Descriptive statistics and a separate matched products analysis was conducted summarising differences in nutrient content and HSR. There was limited evidence of change in the nutrient content of included products however, there was a small reduction in mean saturated fat in the snack food category (-1.0 g/100 g, 95% CI -1.6 to -0.4 g/100 g). The proportion of products considered healthy based on HSR, increased in the convenience foods category (28.4%, 95% CI 8.3 to 48.5) and decreased in non-alcoholic beverages (-35.2%, 95% CI -43.6 to -26.9). The mean HSR score increased in the fruit and vegetables category (0.1 (95% CI 0.1, 0.2)) and decreased for non-alcoholic beverages (-1.1 (-1.3, -0.9)) and the sauces, dressings, spreads, and dips category (-0.3 (-0.3, -0.2)). Strengthened monitoring of the food supply is needed to improve the healthiness of foods available.
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Affiliation(s)
- Aliyah Palu
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia.
| | - Joseph Alvin Santos
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia
| | - Ana Moala Silatolu
- Pacific Research Centre for the Prevention of Obesity and Non-communicable Diseases, Fiji National University, Tamavua Campus, Suva, Fiji
| | | | - Colin Bell
- Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Gade Waqa
- Pacific Research Centre for the Prevention of Obesity and Non-communicable Diseases, Fiji National University, Tamavua Campus, Suva, Fiji
| | - Jacqui Webster
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia
| | - Briar L McKenzie
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia
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Nguyen H, Jones A, Barrett EM, Shahid M, Gaines A, Hu M, Pettigrew S, Wu JHY, Coyle DH. Extent of alignment between the Australian Dietary Guidelines and the NOVA classification system across the Australian packaged food supply. Nutr Diet 2024. [PMID: 38738833 DOI: 10.1111/1747-0080.12880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 03/14/2024] [Accepted: 04/15/2024] [Indexed: 05/14/2024]
Abstract
AIMS The Australian Dietary Guidelines are currently being revised and ultra-processed foods have been identified as a high priority action area. To better understand how well the current Dietary Guidelines align with level of processing classifications, the aim of this study was to assess the alignment between the Australian Dietary Guidelines and the NOVA classification system for classifying the healthiness of packaged foods. METHODS Data were sourced from the Australian FoodSwitch dataset, which included 28 071 packaged food and beverage products available in major Australian supermarkets in 2022. Products were classified as (i) core or discretionary (Australian Dietary Guidelines) and (ii) non-ultra-processed or ultra-processed (NOVA). Agreement between the two systems (core vs. non-ultra-processed and discretionary vs. ultra-processed) was evaluated using the kappa statistic. RESULTS There was 'moderate' agreement (κ = 0.41, 95% CI: 0.40-0.42) between the Australian Dietary Guidelines and the NOVA system, with 69.8% of products aligned across the two systems. Alignment was more common for discretionary foods (80.6% were ultra-processed) than core foods (59.9% aligned were not-ultra-processed). Food categories exhibiting the strongest levels of alignment included confectionary, foods for specific dietary use, and egg and egg products. Discordance was most common for convenience foods, sugars, honey and related products, and cereal and grain products. CONCLUSIONS Despite moderate alignment between the Australian Dietary Guidelines and NOVA, the discordance observed for almost one-third of products highlights the opportunity to develop recommendations for ultra-processed foods within the guidelines to advise Australians how these foods should be considered as part of a healthy diet.
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Affiliation(s)
- Hillary Nguyen
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
- School of Public Health, University of California, Berkeley, California, USA
| | - Alexandra Jones
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Eden M Barrett
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Maria Shahid
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Allison Gaines
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Monica Hu
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
- School of Public Health, University of California, Berkeley, California, USA
| | - Simone Pettigrew
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Jason H Y Wu
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Daisy H Coyle
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
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Calabro R, Kemps E, Prichard I, Tiggemann M. Effects of traffic light labelling and increased healthy range on beverage choices from vending machines. Public Health Nutr 2024; 27:e113. [PMID: 38587000 PMCID: PMC11036432 DOI: 10.1017/s1368980024000843] [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: 08/31/2023] [Revised: 01/28/2024] [Accepted: 03/26/2024] [Indexed: 04/09/2024]
Abstract
OBJECTIVE To test whether traffic light labels and an increased range of healthy beverages, individually and in combination, can increase healthy beverage choices from vending machines. DESIGN Two studies (n 558, 420) tested whether the provision of traffic light labels (green, amber and red) and an increased range of healthy beverages (from 20 % to 50 % green options), individually and in combination, could increase healthy beverage choices from a digital vending machine display. The studies used a between-subjects experimental design, and a hypothetical beverage choice, a limitation when considering real-world applicability. SETTING Both studies utilised an online Qualtrics survey that featured a digital vending machine display. PARTICIPANTS Both studies (n 558, 420) consisted of university students from Flinders University and individuals from a survey recruitment service. RESULTS Featuring traffic lights did not significantly influence beverage choices (P = 0·074), while increasing the healthy range (P = 0·003, OR = 3·27), and the combination of both, did significantly increase healthier beverage choices (P < 0·001, OR = 4·83). CONCLUSIONS The results suggest that the traffic light system and increased healthy range are not maximally effective when used on their own, and benefit greatly when combined, to increase healthy beverage choices. It was suggested that the provision of traffic light labels supplied the necessary nutritional information, and the increased healthy range offered greater opportunity to act in accordance with that information. In so doing, the present findings offer a promising pathway for reducing unhealthy beverage consumption.
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Affiliation(s)
- Ryan Calabro
- Psychology, College of Education, Psychology and Social Work, Flinders University, Adelaide, SA5001, Australia
| | - Eva Kemps
- Psychology, College of Education, Psychology and Social Work, Flinders University, Adelaide, SA5001, Australia
| | - Ivanka Prichard
- Health & Exercise Sciences, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Marika Tiggemann
- Psychology, College of Education, Psychology and Social Work, Flinders University, Adelaide, SA5001, Australia
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11
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Martinez-Perez N, Torheim LE, Arroyo-Izaga M. Availability and properties of commercially produced food products offered in European public universities: A North-South comparison. J Food Sci 2024; 89:2494-2511. [PMID: 38488725 DOI: 10.1111/1750-3841.17022] [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: 12/01/2023] [Revised: 02/15/2024] [Accepted: 02/21/2024] [Indexed: 04/12/2024]
Abstract
To date, there are no studies that have compared university food environments (FEs) with different sociocultural contexts. Therefore, we analyzed differences in the availability and properties of commercially produced foods, in a northern and a southern European university (located in Norway and Spain, respectively). A cross-sectional observational study was conducted at OsloMet-Oslo Metropolitan University and at the University of the Basque Country UPV/EHU. The nutritional quality of food products was estimated through the following nutrient profiling models (NPMs): those proposed by the Spanish Agency for Consumer Affairs, Food Safety and Nutrition (AECOSAN), the UK nutrient profiling model (UK NPM), the Norwegian Food and Drink Industry Professional Practices Committee (Matbransjens Fagligle Utvalg [MFU]), and a combination of them. In addition, food items were classified using the NOVA system. A total of 251 and 1051 products were identified at OsloMet and the UPV/EHU, respectively. The percentage categorized as low nutritional quality (LNQ) was higher at the UPV/EHU (almost 54.5% of the total products) compared with at OsloMet (almost 40%) (p < 0.001). Most of the products were categorized as ultra-processed, and there were no differences in the percentage of ultra-processed foods between the two universities (OsloMet 86.1%, UPV/EHU 83.3%, p > 0.05). A higher proportion of LNQ products was found at the UPV/EHU than at OsloMet, probably due to the government policies and actions for creating healthy FEs. Consequently, there is a need to develop interventions to improve the FE at the UPV/EHU, adapted to its sociocultural context. PRACTICAL APPLICATION: This study reveals north-south differences in terms of the availability of low nutritional quality food products. In particular, a higher proportion of this type of product was found at the University of the Basque Country UPV/EHU than at OsloMet-Oslo Metropolitan University. Our exploratory hypothesis is that this phenomenon is a consequence of the Nordic government policies that have great potential to create healthy FEs.
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Affiliation(s)
- Naiara Martinez-Perez
- Department of Nursing I, Faculty of Medicine and Nursing, University of the Basque Country UPV/EHU, Leioa, Spain
- BIOMICs Research Group, Microfluidics & BIOMICs Cluster, Lascaray Research Center, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Liv Elin Torheim
- Department of Nursing and Health Promotion, Faculty of Health Sciences, OsloMet-Oslo Metropolitan University, Oslo, Norway
| | - Marta Arroyo-Izaga
- BIOMICs Research Group, Microfluidics & BIOMICs Cluster, Lascaray Research Center, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
- Department of Pharmacy and Food Sciences, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
- Bioaraba, BA04.03, Vitoria-Gasteiz, Spain
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12
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Vale C, Almeida C, Azevedo J, Padrão P. Nutrient profile of packaged foods according to the degree of processing. Int J Food Sci Nutr 2024; 75:148-158. [PMID: 38186325 DOI: 10.1080/09637486.2023.2299771] [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: 09/22/2023] [Accepted: 12/21/2023] [Indexed: 01/09/2024]
Abstract
An increased consumption of ultra-processed foods (UPF) leads to a rising prevalence of chronic noncommunicable diseases. This study aims to characterise the nutrient profile of white-label pre-packaged foods and bakery products available in a market leader Portuguese food retail chain, according to the extent of processing proposed by NOVA classification system. The nutrient profile (energy, sugar, total fat, saturated fat and sodium) according to processing degree was analysed using non-parametric tests. UPF were the most energy dense (278 kcal/100 g, p < .001) and the highest in sugar (15.9 g/100 g, p < .001). Processed foods were the highest in sodium (538 mg/100 g, p < .001). Processed and UPF showed significantly higher total (12.4 and 10.8 g/100 g, respectively) and saturated fat content (6.10 and 4.61 g/100 g, respectively) than unprocessed/minimally processed foods (p < .001). Regarding the variation of the nutritional value across the extent of processing, different results were observed for some categories suggesting the importance of a stratified analysis. The consumption of less processed foods and the manufacture of processed/UPF with better nutrient profile should be promoted.
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Affiliation(s)
- Catarina Vale
- Faculdade de Ciências da Nutrição e Alimentação da Universidade do Porto, Porto, Portugal
| | - Carla Almeida
- Faculdade de Ciências da Nutrição e Alimentação da Universidade do Porto, Porto, Portugal
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - José Azevedo
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
- Faculdade de Letras de Universidade do Porto, Porto, Portugal
| | - Patrícia Padrão
- Faculdade de Ciências da Nutrição e Alimentação da Universidade do Porto, Porto, Portugal
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
- Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
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Lane MM, Gamage E, Du S, Ashtree DN, McGuinness AJ, Gauci S, Baker P, Lawrence M, Rebholz CM, Srour B, Touvier M, Jacka FN, O'Neil A, Segasby T, Marx W. Ultra-processed food exposure and adverse health outcomes: umbrella review of epidemiological meta-analyses. BMJ 2024; 384:e077310. [PMID: 38418082 PMCID: PMC10899807 DOI: 10.1136/bmj-2023-077310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/19/2024] [Indexed: 03/01/2024]
Abstract
OBJECTIVE To evaluate the existing meta-analytic evidence of associations between exposure to ultra-processed foods, as defined by the Nova food classification system, and adverse health outcomes. DESIGN Systematic umbrella review of existing meta-analyses. DATA SOURCES MEDLINE, PsycINFO, Embase, and the Cochrane Database of Systematic Reviews, as well as manual searches of reference lists from 2009 to June 2023. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Systematic reviews and meta-analyses of cohort, case-control, and/or cross sectional study designs. To evaluate the credibility of evidence, pre-specified evidence classification criteria were applied, graded as convincing ("class I"), highly suggestive ("class II"), suggestive ("class III"), weak ("class IV"), or no evidence ("class V"). The quality of evidence was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) framework, categorised as "high," "moderate," "low," or "very low" quality. RESULTS The search identified 45 unique pooled analyses, including 13 dose-response associations and 32 non-dose-response associations (n=9 888 373). Overall, direct associations were found between exposure to ultra-processed foods and 32 (71%) health parameters spanning mortality, cancer, and mental, respiratory, cardiovascular, gastrointestinal, and metabolic health outcomes. Based on the pre-specified evidence classification criteria, convincing evidence (class I) supported direct associations between greater ultra-processed food exposure and higher risks of incident cardiovascular disease related mortality (risk ratio 1.50, 95% confidence interval 1.37 to 1.63; GRADE=very low) and type 2 diabetes (dose-response risk ratio 1.12, 1.11 to 1.13; moderate), as well as higher risks of prevalent anxiety outcomes (odds ratio 1.48, 1.37 to 1.59; low) and combined common mental disorder outcomes (odds ratio 1.53, 1.43 to 1.63; low). Highly suggestive (class II) evidence indicated that greater exposure to ultra-processed foods was directly associated with higher risks of incident all cause mortality (risk ratio 1.21, 1.15 to 1.27; low), heart disease related mortality (hazard ratio 1.66, 1.51 to 1.84; low), type 2 diabetes (odds ratio 1.40, 1.23 to 1.59; very low), and depressive outcomes (hazard ratio 1.22, 1.16 to 1.28; low), together with higher risks of prevalent adverse sleep related outcomes (odds ratio 1.41, 1.24 to 1.61; low), wheezing (risk ratio 1.40, 1.27 to 1.55; low), and obesity (odds ratio 1.55, 1.36 to 1.77; low). Of the remaining 34 pooled analyses, 21 were graded as suggestive or weak strength (class III-IV) and 13 were graded as no evidence (class V). Overall, using the GRADE framework, 22 pooled analyses were rated as low quality, with 19 rated as very low quality and four rated as moderate quality. CONCLUSIONS Greater exposure to ultra-processed food was associated with a higher risk of adverse health outcomes, especially cardiometabolic, common mental disorder, and mortality outcomes. These findings provide a rationale to develop and evaluate the effectiveness of using population based and public health measures to target and reduce dietary exposure to ultra-processed foods for improved human health. They also inform and provide support for urgent mechanistic research. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42023412732.
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Affiliation(s)
- Melissa M Lane
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
| | - Elizabeth Gamage
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
| | - Shutong Du
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Deborah N Ashtree
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
| | - Amelia J McGuinness
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
| | - Sarah Gauci
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
- Chronic Disease and Ageing, School of Public Health and Preventive Medicine, Faculty of Medicine Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Phillip Baker
- Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Mark Lawrence
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Bernard Srour
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France
| | - Felice N Jacka
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
- Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- James Cook University, College of Public Health, Medical & Veterinary Sciences, Townsville, Queensland, Australia
| | - Adrienne O'Neil
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
| | - Toby Segasby
- School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Wolfgang Marx
- Institute for Mental and Physical Health and Clinical Translation, Food & Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Victoria, Australia, 3220
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Malamatenios O, Campbell JL, Schofield G, Zinn C. The Human Interference Scoring System (HISS): A New Tool for Quantifying Food Quality Based on Its Level of Processing. Nutrients 2024; 16:536. [PMID: 38398860 PMCID: PMC10892936 DOI: 10.3390/nu16040536] [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: 11/29/2023] [Revised: 01/17/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
The Human Interference Scoring System (HISS) is a novel food-based diet-quality-classification system based on the existing NOVA method. HISS involves food and fluid allocation into categories from digital imagery based on food processing levels, followed by meal plan analysis using food-servings quantification. The primary purpose of this work was to evaluate the reliability of HISS. Trained nutrition professionals analyzed digital photographs from five hypothetical 24 h food recalls and categorized foods into one of four HISS categories. A secondary purpose was to assess the nutrient composition of the food recalls and other selected foods from the HISS categories. Participants effectively categorized foods into HISS categories, with only minor discrepancies noted. High inter-rater reliability was observed in the outer HISS categories: unprocessed and ultra-processed foods. Ultra-processed items consistently displayed elevated energy, carbohydrates, and sugar compared to unprocessed foods, while unprocessed foods exhibited notably higher dietary fiber. This study introduces the HISS as a potentially useful tool for quantifying a food-quality-based system using digital-photography-based assessments. Its high inter-rater reliability and ability to capture relationships between food processing levels and nutrient composition make it a promising method for assessing dietary habits and food quality.
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Affiliation(s)
| | | | | | - Caryn Zinn
- Human Potential Centre, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 1142, New Zealand
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15
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Kim L, Choi YH, Huh DA, Moon KW. Associations of minimally processed and ultra-processed food intakes with cardiovascular health in Korean adults: the Korea National Health and Nutrition Examination Survey (KNHANES VI), 2013-2015. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024:10.1038/s41370-024-00646-1. [PMID: 38307938 DOI: 10.1038/s41370-024-00646-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 01/18/2024] [Accepted: 01/22/2024] [Indexed: 02/04/2024]
Abstract
BACKGROUND Although recent studies have suggested the adverse effects of processed foods on cardiovascular disease, few studies have been conducted on the effects of food processing on cardiovascular health (CVH) in Koreans. OBJECTIVE This study aimed to investigate the associations of minimally processed foods (MPF) and ultra-processed foods (UPF) intakes with CVH. METHODS We used the data of 6945 adults (≥19) from the sixth Korea National Health and Nutrition Examination Survey. MPF and UPF intakes were based on the NOVA food classification. Using Life's simple 7 (LS7) proposed by the American Heart Association, the CVH indicator was estimated as the sum (0-12) of the scores of six components. Multiple linear and multinomial logistic regressions were used to estimate the associations between processed food intakes and CVH. RESULTS The mean (standard error) of MPF and UPF intake was 61.28 (0.28) and 20.27 (0.24) %kcal/day, respectively. After adjusting for sex, age, household income, educational attainment, family history of CVD, and stress, we found significant positive associations between MPF intake and CVH (p value < 0.001), while associations between UPF intake and CVH were significantly negative (p value < 0.001). Moreover, the magnitude of the observed association was more distinctive in females (p-interaction < 0.01) and with increasing age (p-interaction < 0.001). CONCLUSIONS A high intake of MPF is associated with improved CVH, while a high intake of UPF is associated with poorer CVH in Korean adults. Therefore, public health policies should be established to promote the choice of less processed foods to improve CVH among South Korean adults. IMPACT STATEMENT In modern society, processed foods have become ubiquitous and South Korea's consumption of processed foods is very high. This study had shown that the more processed a food is, the more negative impact it can have on cardiovascular health. Therefore, researching the effects of processed foods on the human body can increase understanding of population health and aid in the development of prevention and treatment strategies.
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Affiliation(s)
- Lita Kim
- Department of Health and Safety Convergence Science, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, Korea
- BK21 FOUR R&E Center for Learning Health System, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, Korea
| | - Yun-Hee Choi
- Department of Health and Safety Convergence Science, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, Korea
- BK21 FOUR R&E Center for Learning Health System, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, Korea
| | - Da-An Huh
- Institute of Health Sciences, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, Korea.
| | - Kyong Whan Moon
- BK21 FOUR R&E Center for Learning Health System, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, Korea
- School of Health and Environmental Science, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, Korea
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Sarda B, Kesse-Guyot E, Deschamps V, Ducrot P, Galan P, Hercberg S, Deschasaux-Tanguy M, Srour B, Fezeu LK, Touvier M, Julia C. Complementarity between the updated version of the front-of-pack nutrition label Nutri-Score and the food-processing NOVA classification. Public Health Nutr 2024; 27:e63. [PMID: 38297466 PMCID: PMC10897572 DOI: 10.1017/s1368980024000296] [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: 07/26/2023] [Revised: 01/04/2024] [Accepted: 01/18/2024] [Indexed: 02/02/2024]
Abstract
OBJECTIVE To compare the initial and the updated versions of the front-of-pack label Nutri-Score (related to the nutritional content) with the NOVA classification (related to the degree of food processing) at the food level. DESIGN Using the OpenFoodFacts database - 129,950 food products - we assessed the complementarity between the Nutri-Score (initial and updated) with the NOVA classification through a correspondence analysis. Contingency tables between the two classification systems were used. SETTINGS The food offer in France. PARTICIPANTS Not applicable. RESULTS With both versions (i.e. initial and updated) of the Nutri-Score, the majority of ultra-processed products received medium to poor Nutri-Score ratings (between 77·9 % and 87·5 % of ultra-processed products depending on the version of the algorithm). Overall, the update of the Nutri-Score algorithm led to a reduction in the number of products rated A and B and an increase in the number of products rated D or E for all NOVA categories, with unprocessed foods being the least impacted (-3·8 percentage points (-5·2 %) rated A or B and +1·3 percentage points (+12·9 %) rated D or E) and ultra-processed foods the most impacted (-9·8 percentage points (-43·4 %) rated A or B and +7·8 percentage points (+14·1 %) rated D or E). Among ultra-processed foods rated favourably with the initial Nutri-Score, artificially sweetened beverages, sweetened plant-based drinks and bread products were the most penalised categories by the revision of Nutri-Score while low-sugar flavoured waters, fruit and legume preparations were the least affected. CONCLUSION These results indicate that the update of the Nutri-Score reinforces its coherence with the NOVA classification, even though both systems measure two distinct health dimensions at the food level.
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Affiliation(s)
- Barthélemy Sarda
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), 74 rue Marcel Cachin, F-93017Bobigny, France
| | - Emmanuelle Kesse-Guyot
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), 74 rue Marcel Cachin, F-93017Bobigny, France
| | - Valérie Deschamps
- Nutritional Epidemiology Surveillance Team (ESEN), Santé publique France, The French Public Health Agency, Bobigny, France
| | - Pauline Ducrot
- Santé publique France, French National Public Health Agency, Saint- Maurice, France
| | - Pilar Galan
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), 74 rue Marcel Cachin, F-93017Bobigny, France
| | - Serge Hercberg
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), 74 rue Marcel Cachin, F-93017Bobigny, France
- Public health Department, Hôpital Avicenne, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France
| | - Melanie Deschasaux-Tanguy
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), 74 rue Marcel Cachin, F-93017Bobigny, France
| | - Bernard Srour
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), 74 rue Marcel Cachin, F-93017Bobigny, France
| | - Leopold K Fezeu
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), 74 rue Marcel Cachin, F-93017Bobigny, France
| | - Mathilde Touvier
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), 74 rue Marcel Cachin, F-93017Bobigny, France
| | - Chantal Julia
- Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), 74 rue Marcel Cachin, F-93017Bobigny, France
- Public health Department, Hôpital Avicenne, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France
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Adamou H, Robitaille É, Paquette MC, Lebel A. Food environment trajectories: a sequence analysis from the CARTaGENE cohort. Public Health Nutr 2024; 27:e90. [PMID: 38250947 DOI: 10.1017/s1368980024000119] [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] [Indexed: 01/23/2024]
Abstract
OBJECTIVE The purpose of this study was to create a typology of longitudinal exposure to food environment based on socio-economic context. DESIGN Food environment trajectories were modelled using a sequence analysis method, followed by a logistic regression to describe those trajectories. SETTING The study took place in Quebec, Canada, using food environment data from 2009, 2011 and 2018 merged with participants' demographic and socio-economic characteristics. PARTICIPANT At recruitment, 38 627 participants between the ages of 40 and 69 years from six urban areas in Quebec were included in the CARTaGENE cohort study. The cohort was representative of the Quebec urban population within this age range. RESULTS Our study revealed five trajectories of food access over time: (1) limited access to food stores throughout the study period, (2) limited access improving, (3) good access diminishing, (4) good access throughout the period and (5) low access throughout the period. Logistic regression analysis showed that participants who were unable to work (OR = 1·42, CI = 1·08-1·86), lived in households with five or more persons (OR = 1·69, CI = 1·17-2·42) and those living in low-income households (OR = 1·32, CI = 1·03-1·71) had higher odds of experiencing a disadvantaged food environment trajectory. Additionally, the level of education and age of participants were associated with the odds of experiencing a disadvantaged food environment trajectory. CONCLUSIONS The study demonstrates that people facing socio-economic disadvantage are more likely to experience a disadvantaged food environment trajectory over time.
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Affiliation(s)
- Habila Adamou
- Center for Research in Regional Planning and Development (CRAD), Laval University, Quebec, Canada
- Evaluation Platform on Obesity Prevention, Quebec Heart and Lung Institute Research Center, Quebec, Canada
| | - Éric Robitaille
- Institut national de santé publique du Québec, 190, boulevard Crémazie Est, Montréal, Québec, Canada
- ESPUM, Université de Montréal, Montréal, Canada
| | - Marie-Claude Paquette
- Institut national de santé publique du Québec, 190, boulevard Crémazie Est, Montréal, Québec, Canada
- Département de nutrition, Université de Montréal, Montréal, Canada
| | - Alexandre Lebel
- Center for Research in Regional Planning and Development (CRAD), Laval University, Quebec, Canada
- Evaluation Platform on Obesity Prevention, Quebec Heart and Lung Institute Research Center, Quebec, Canada
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Cho Y, Ryu S, Kim R, Shin MJ, Oh H. Ultra-processed Food Intake and Risk of Type 2 Diabetes in Korean Adults. J Nutr 2024; 154:243-251. [PMID: 38007182 DOI: 10.1016/j.tjnut.2023.11.021] [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: 07/17/2023] [Revised: 10/25/2023] [Accepted: 11/22/2023] [Indexed: 11/27/2023] Open
Abstract
BACKGROUND Several studies from the United States and European countries reported a positive association between ultra-processed food intake and diabetes risk. However, little is known about the association in Asian populations. It is also unknown about the individual ultra-processed food items that are most unfavorably associated with diabetes risk. OBJECTIVE We examined the associations of ultra-processed food intake (combined, as well as individual ultra-processed food items) with the risk of type 2 diabetes. METHODS This prospective analysis included 7438 participants aged 40-69 y from the Korean Genome and Epidemiology Study Ansan-Ansung cohort. Dietary intake was assessed at baseline using a 103-item semiquantitative food-frequency questionnaire. Ultra-processed foods were classified using the Nova definition. Incident type 2 diabetes cases were identified via follow-up interviews and health examination. Multivariable Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), adjusting for potential confounders. RESULTS During the follow-up (2001-2019; median: 15 y), a total of 1187 type 2 diabetes cases were identified. Compared with the lowest quartile of ultra-processed food intake, the highest quartile was positively associated with diabetes risk [HR (95% CI) = 1.34 (1.13, 1.59), P-trend = 0.002]. The association did not change after additional adjustment for diet quality or BMI. Among individual ultra-processed food items, a higher consumption of ham/sausage [per 1% increase in the weight ratio: HR (95% CI) = 1.40 (1.05, 1.86)], instant noodles [1.07 (1.02, 1.11)], ice cream [1.08 (1.03, 1.13)], and carbonated beverages [1.02 (1.00, 1.04)] were associated with an increased risk of type 2 diabetes, whereas a higher intake of candy/chocolate was associated with a decreased risk [0.78 (0.62, 0.99)]. CONCLUSIONS Our data suggest that the high intake of ultra-processed foods, particularly ham/sausage, instant noodles, ice cream, and carbonated beverages, is associated with an increased risk of type 2 diabetes in Korean adults.
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Affiliation(s)
- Yoonkyoung Cho
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea
| | - Seaun Ryu
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea
| | - Rockli Kim
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea; Department of Health Policy and Management, Korea University, Seoul, Republic of Korea
| | - Min-Jeong Shin
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea; School of Biosystems and Biomedical Sciences, College of Health Science, Korea University, Seoul, Republic of Korea
| | - Hannah Oh
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea; Department of Health Policy and Management, Korea University, Seoul, Republic of Korea.
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Kaur P, Choudhary M, Sharma S. Fatty acid profiling and oxidative stability of biscuits available in the market of the city of Ludhiana, India. Sci Rep 2023; 13:21791. [PMID: 38065989 PMCID: PMC10709446 DOI: 10.1038/s41598-023-44228-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 10/05/2023] [Indexed: 12/18/2023] Open
Abstract
India has occupied third position in biscuit manufacturing with an average production of 1.95 million tonnes. The major ingredients in biscuit manufacturing are refined wheat flour, sugar and fat. Fat to be used must be chosen carefully as it affects quality of final product in terms of fatty acid composition and oxidative stability. Therefore, the present work was planned to study fatty acid profile of highly consumed baked products of biscuit family such as biscuits and cookies available in market. The study was carried out to do fatty acid profiling of a range of highly consumed baked products of biscuit family as a primary objective and also, to determine oxidative stability of these products by analysing peroxide value and free fatty acid content. The most commonly consumed packaged and unpackaged bakery products were selected and were bought from the local market of Ludhiana city on the basis of a survey conducted on 200 subjects. The selected products were analysed for fatty acid composition and oxidative stability using standard methods. Fatty acid profiling of 22 bakery products of biscuit family was done. Palmitic acid was the most abundant among all fatty acids in packaged and unpackaged samples. Peroxide value of all the products even after storage period of three months was found below the permissible limits (< 10 meq/kg). Free fatty acids value of all the products also did not cross acceptable level of 0.5 percent. Out of total selected eight brands, six were national and two were international. Amount of palmitic acid was higher in the products belonging to local brands.
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Affiliation(s)
- Prabhjot Kaur
- Department of Food and Nutrition, Punjab Agricultural University, Ludhiana, 141004, India
| | - Monika Choudhary
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004, India.
| | - Sanjula Sharma
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004, India
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20
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Disdier AC, Etilé F, Rotunno L. The international diffusion of food innovations and the nutrition transition: retrospective longitudinal evidence from country-level data, 1970-2010. BMJ Glob Health 2023; 8:e012062. [PMID: 37967902 PMCID: PMC10660632 DOI: 10.1136/bmjgh-2023-012062] [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: 02/17/2023] [Accepted: 06/10/2023] [Indexed: 11/17/2023] Open
Abstract
INTRODUCTION There is a lack of quantitative evidence on the role of food innovations-new food ingredients and processing techniques-in the nutrition transition. OBJECTIVE Document the distribution of food innovations across 67 high-income (HIC) and middle-income (MIC) countries between 1970 and 2010, and its association with the nutritional composition of food supply. METHODS We used all available data on food patents, as compiled by the European Patent Office, to measure food innovations. We considered innovations directly received by countries from inventors seeking protection in their territories, and those embedded in processed food imports. Food and Agricultural Organization data were used to estimate the associations between international diffusion of food innovations and trends in total food supply and its macronutrient composition, after adjusting for confounding trends in demand-side factors. We identified the role of trade by simulating the changes in average diet due to innovations embedded in food imports. RESULTS Trends in food innovations were positively and significantly associated with changes in daily per capita calorie supply available for human consumption in MIC between 1990 and 2010 (elasticity of 0.027, 95% CI 0.019 to 0.036). Food innovations were positively correlated with the share of animal and free fats in total food supply (elasticities of 0.044, 95% CI 0.030 to 0.058 for MIC between 1970 and 1989 and 0.023, 95% CI 0.003 to 0.043 for HIC between 1990 and 2010). Food innovations were associated with substitutions from complex carbohydrates towards sugars in total food supply for MIC after 1990 (elasticities of -0.037, 95% CI -0.045 to -0.029 for complex carbs, 0.082, 95% CI 0.066 to 0.098 for sugars). For these countries, the trade channel capturing access to innovations through imports of processed food played a key role. CONCLUSION Policy-makers should consider the impacts of the international diffusion of food innovations in assessing the costs and benefits of international trade regulations.
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Affiliation(s)
- Anne-Célia Disdier
- Paris School of Economics, Paris, France
- UMR 1393, Paris-Jourdan Sciences Economiques, INRAE, Paris, France
| | - Fabrice Etilé
- Paris School of Economics, Paris, France
- UMR 1393, Paris-Jourdan Sciences Economiques, INRAE, Paris, France
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21
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Sandall A, Smith L, Svensen E, Whelan K. Emulsifiers in ultra-processed foods in the UK food supply. Public Health Nutr 2023; 26:2256-2270. [PMID: 37732384 DOI: 10.1017/s1368980023002021] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
OBJECTIVE Ultra-processed foods (UPF), including those containing food additive emulsifiers, have received research attention due to evidence implicating them in the pathogenesis of certain diseases. The aims of this research were to develop a large-scale, brand-level database of UPF in the UK food supply and to characterise the occurrence and co-occurrence of food additive emulsifiers. DESIGN A database was compiled sampling all products from the food categories contributing to energy intake from UPF in the UK from the National Diet and Nutrition Survey (2008-2014). Every food in these categories were identified from online supermarket provision from the 'big four' supermarkets that dominate the market share in the UK, comprising Tesco, Sainsbury's, Asda and Morrisons. SETTING Major supermarkets in the UK. RESULTS A total of 32 719 food products in the UK supermarket food supply were returned in searches. Of these, 12 844 products were eligible and manually reviewed for the presence of emulsifiers. Emulsifiers were present in 6642 (51·7 %) food products. Emulsifiers were contained in 95·0 % of 'Pastries, buns and cakes', 81·9 % of 'Milk-based drinks', 81·0 % of 'Industrial desserts' and 77·5 % of 'Confectionary'. Fifty-one per cent of all emulsifier-containing foods contained multiple emulsifiers. Across emulsifier-containing foods, there were a median of two emulsifiers (IQR 2) per product. The five most common emulsifiers were lecithin (23·4 % of all products), mono- and diglycerides of fatty acids (14·5 %), diphosphates (11·6 %), and xanthan gum and pectin (8·0 %). CONCLUSIONS Findings from this study are the first to demonstrate the widespread occurrence and co-occurrence of emulsifiers in UPF in the UK food supply.
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Affiliation(s)
- Alicia Sandall
- King's College London, Department of Nutritional Sciences, Franklin Wilkins Building, London, SE1 9NH, UK
| | - Leanne Smith
- King's College London, Department of Nutritional Sciences, Franklin Wilkins Building, London, SE1 9NH, UK
| | - Erika Svensen
- King's College London, Department of Nutritional Sciences, Franklin Wilkins Building, London, SE1 9NH, UK
| | - Kevin Whelan
- King's College London, Department of Nutritional Sciences, Franklin Wilkins Building, London, SE1 9NH, UK
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Prescott SL, D’Adamo CR, Holton KF, Ortiz S, Overby N, Logan AC. Beyond Plants: The Ultra-Processing of Global Diets Is Harming the Health of People, Places, and Planet. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6461. [PMID: 37569002 PMCID: PMC10419141 DOI: 10.3390/ijerph20156461] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 07/20/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023]
Abstract
Global food systems are a central issue for personal and planetary health in the Anthropocene. One aspect of major concern is the dramatic global spread of ultra-processed convenience foods in the last 75 years, which is linked with the rising human burden of disease and growing sustainability and environmental health challenges. However, there are also calls to radically transform global food systems, from animal to plant-derived protein sources, which may have unintended consequences. Commercial entities have moved toward this "great plant transition" with vigor. Whether motivated by profit or genuine environmental concern, this effort has facilitated the emergence of novel ultra-processed "plant-based" commercial products devoid of nutrients and fiber, and sometimes inclusive of high sugar, industrial fats, and synthetic additives. These and other ingredients combined into "plant-based" foods are often assumed to be healthy and lower in calorie content. However, the available evidence indicates that many of these products can potentially compromise health at all scales-of people, places, and planet. In this viewpoint, we summarize and reflect on the evidence and discussions presented at the Nova Network planetary health meeting on the "Future of Food", which had a particular focus on the encroachment of ultra-processed foods into the global food supply, including the plant-sourced animal protein alternatives (and the collective of ingredients therein) that are finding their way into global fast-food chains. We contend that while there has been much uncritical media attention given to the environmental impact of protein and macronutrient sources-meat vs. novel soy/pea protein burgers, etc.-the impact of the heavy industrial processing on both human and environmental health is significant but often overlooked, including effects on cognition and mental health. This calls for a more nuanced discourse that considers these complexities and refocuses priorities and value systems towards mutualistic solutions, with co-benefits for individuals, local communities, and global ecology.
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Affiliation(s)
- Susan L. Prescott
- Nova Institute for Health, Baltimore, MD 21231, USA; (C.R.D.); (A.C.L.)
- Department of Family and Community Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Medical School, University of Western Australia, Nedlands, WA 6009, Australia
- The ORIGINS Project, Telethon Kids Institute, Nedlands, WA 6009, Australia
| | - Christopher R. D’Adamo
- Nova Institute for Health, Baltimore, MD 21231, USA; (C.R.D.); (A.C.L.)
- Department of Family and Community Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Kathleen F. Holton
- Departments of Health Studies and Neuroscience, Center for Neuroscience and Behavior, American University, Washington, DC 20016, USA;
| | - Selena Ortiz
- Department of Health Policy and Administration, The Pennsylvania State University, State College, PA 16802, USA;
| | - Nina Overby
- Department of Nutrition and Public Health, Centre for Lifecourse Nutrition, University of Agder, 4630 Kristiansand, Norway;
| | - Alan C. Logan
- Nova Institute for Health, Baltimore, MD 21231, USA; (C.R.D.); (A.C.L.)
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23
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Calcaterra V, Cena H, Rossi V, Santero S, Bianchi A, Zuccotti G. Ultra-Processed Food, Reward System and Childhood Obesity. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10050804. [PMID: 37238352 DOI: 10.3390/children10050804] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 04/19/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023]
Abstract
Obesity and overweight are a major public health problem globally. Diet quality is critical for proper child development, and an unhealthy diet is a preventable risk factor for noncommunicable diseases (NCDs), such as obesity. Consumption of sugar-sweetened beverages and ultra-processed foods (UPFs) in childhood may increase the BMI/BMI z-score, body fat percentage, or likelihood of overweight. A strict feeding regulation system allows for sufficient food to be consumed to meet ongoing metabolic demands while avoiding overconsumption. This narrative review explores the issues of obesity and the regulation of food intake related to reward systems and UPF consumption. Nutrient composition alone cannot explain the influence of UPFs on the risk of obesity. Furthermore, the non-nutritional properties of UPFs may explain the mechanisms underlying the relationship with obesity and NCDs. UPFs are designed to be highly palatable, appealing, and energy dense with a unique combination of the main taste enhancer ingredients to generate a strong rewarding stimulus and influence the circuits related to feeding facilitation. How individual UPF ingredients influence eating behavior and reward processes remains not fully elucidated. To increase the knowledge on the relationship between UPFs and pediatric obesity, it may be useful to limit the rapid growth in the prevalence of obesity and subsequent related complications, and to develop new strategies for appropriate food and nutrition policies.
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Affiliation(s)
- Valeria Calcaterra
- Department of Internal Medicine and Therapeutics, University of Pavia, 27100 Pavia, Italy
- Pediatric Department, Buzzi Children's Hospital, 20154 Milano, Italy
| | - Hellas Cena
- Laboratory of Dietetics and Clinical Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
- Clinical Nutrition Unit, General Medicine, Istituti Clinici Salvatore Maugeri Istituto di Ricovero e Cura a Carattere Sscientifico, 27100 Pavia, Italy
| | - Virginia Rossi
- Pediatric Department, Buzzi Children's Hospital, 20154 Milano, Italy
| | - Sara Santero
- Laboratory of Dietetics and Clinical Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
| | - Alice Bianchi
- Pediatric Department, Buzzi Children's Hospital, 20154 Milano, Italy
| | - Gianvincenzo Zuccotti
- Pediatric Department, Buzzi Children's Hospital, 20154 Milano, Italy
- Department of Biomedical and Clinical Science, University of Milano, 20157 Milano, Italy
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Apovian CM, Guo XR, Hawley JA, Karmali S, Loos RJF, Waterlander WE. Approaches to addressing the rise in obesity levels. Nat Rev Endocrinol 2023; 19:76-81. [PMID: 36450930 DOI: 10.1038/s41574-022-00777-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/28/2022] [Indexed: 12/02/2022]
Abstract
Levels of obesity and overweight are increasing globally, with affected individuals often experiencing health issues and reduced quality of life. The pathogenesis of obesity is complex and multifactorial, and effective solutions have been elusive. In this Viewpoint, experts in the fields of medical therapy, adipocyte biology, exercise and muscle, bariatric surgery, genetics, and public health give their perspectives on current and future progress in addressing the rising prevalence of obesity.
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Affiliation(s)
- Caroline M Apovian
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Xi-Rong Guo
- Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - John A Hawley
- Exercise & Nutrition Research Program, The Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
| | - Shahzeer Karmali
- Division of General Surgery, University of Alberta, Edmonton, Alberta, Canada.
| | - Ruth J F Loos
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, USA.
| | - Wilma E Waterlander
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC Location University of Amsterdam, Amsterdam, Netherlands.
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Gu Y, Li H, Ma H, Zhang S, Meng G, Zhang Q, Liu L, Wu H, Zhang T, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Liu Q, Huang T, Borné Y, Wang Y, Qi L, Niu K. Consumption of ultraprocessed food and development of chronic kidney disease: the Tianjin Chronic Low-Grade Systemic Inflammation and Health and UK Biobank Cohort Studies. Am J Clin Nutr 2023; 117:373-382. [PMID: 36811571 DOI: 10.1016/j.ajcnut.2022.11.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/25/2022] [Accepted: 11/07/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Many ultraprocessed food (UPF)-derived by-products may play a role in the development of chronic kidney disease (CKD). Although several studies have assessed the association of UPFs with kidney function decline or CKD in various countries, no evidence has been shown in China and the United Kingdom. OBJECTIVES This study aims to evaluate the association between UPF consumption and risk of CKD in 2 large cohort studies from China and the United Kingdom. METHODS In total, 23,775 and 102,332 participants without baseline CKD were enrolled in the Tianjin Chronic Low-Grade Systemic Inflammation and Health (TCLSIH) and UK Biobank cohort studies, respectively. Information on UPF consumption was obtained from a validated food frequency questionnaire in the TCLSIH and 24-h dietary recalls in the UK Biobank cohort. CKD was defined as an estimated glomerular filtration rate of <60 mL/min/1.73 m2, albumin-to-creatinine ratio ≥30 mg/g, or as having a clinical diagnosis of CKD in both cohorts. Multivariable Cox proportional hazard models were used to examine the association between UPF consumption and the risk of CKD. RESULTS After a median follow-up of 4.0 and 10.1 y, the incidence rates of CKD were around 1.1% and 1.7% in the TCLSIH and UK Biobank cohorts, respectively. The multivariable hazard ratio [95% confidence interval] of CKD across increasing quartiles (quartiles 1-4) of UPF consumption were 1 (reference), 1.24 (0.89, 1.72), 1.30 (0.91, 1.87), and 1.58 (1.07, 2.34) (P for trend = 0.02) in the TCLSIH cohort and 1 (reference), 1.14 (1.00, 1.31), 1.16 (1.01, 1.33), and 1.25 (1.09, 1.43) (P for trend < 0.01) in the UK Biobank cohort, respectively. CONCLUSIONS Our finding indicated that higher UPF consumption is associated with a higher risk of CKD. Moreover, restricting UPF consumption may potentially benefit the prevention of CKD. Further clinical trials are required to clarify the causality. This trial was registered at UMIN Clinical Trials Registry as UMIN000027174 (https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000031137).
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Affiliation(s)
- Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Huiping Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiang Liu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yan Borné
- Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, Tianjin, China; School of Integrative Medicine, Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China; Health Management Center, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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The effect of modest changes in sleep on dietary intake and eating behavior in children: secondary outcomes of a randomized crossover trial. Am J Clin Nutr 2023; 117:317-325. [PMID: 36863827 DOI: 10.1016/j.ajcnut.2022.10.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/01/2022] [Accepted: 10/28/2022] [Indexed: 03/04/2023] Open
Abstract
BACKGROUND Insufficient sleep duration increases obesity risk in children, but the mechanisms remain unclear. OBJECTIVES This study seeks to determine how changes in sleep influence energy intake and eating behavior. METHODS Sleep was experimentally manipulated in a randomized, crossover study in 105 children (8-12 y) who met current sleep guidelines (8-11 h/night). Participants went to bed 1 h earlier (sleep extension condition) and 1 h later (sleep restriction condition) than their usual bedtime for 7 consecutive nights, separated by a 1-wk washout. Sleep was measured via waist-worn actigraphy. Dietary intake (2 24-h recalls/wk), eating behaviors (Child Eating Behavior Questionnaire), and the desire to eat different foods (questionnaire) were measured during or at the end of both sleep conditions. The type of food was classified by the level of processing (NOVA) and as core or noncore (typically energy-dense foods) foods. Data were analyzed according to 'intention to treat' and 'per protocol,' an a priori difference in sleep duration between intervention conditions of ≥30 min. RESULTS The intention to treat analysis (n = 100) showed a mean difference (95% CI) in daily energy intake of 233 kJ (-42, 509), with significantly more energy from noncore foods (416 kJ; 6.5, 826) during sleep restriction. Differences were magnified in the per-protocol analysis, with differences in daily energy of 361 kJ (20, 702), noncore foods of 504 kJ (25, 984), and ultraprocessed foods of 523 kJ (93, 952). Differences in eating behaviors were also observed, with greater emotional overeating (0.12; 0.01, 0.24) and undereating (0.15; 0.03, 0.27), but not satiety responsiveness (-0.06; -0.17, 0.04) with sleep restriction. CONCLUSIONS Mild sleep deprivation may play a role in pediatric obesity by increasing caloric intake, particularly from noncore and ultraprocessed foods. Eating in response to emotions rather than perceived hunger may partly explain why children engage in unhealthy dietary behaviors when tired. This trial was registered at Australian New Zealand Clinical Trials Registry; ANZCTR as CTRN12618001671257.
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Coyle DH, Huang L, Shahid M, Gaines A, Di Tanna GL, Louie JCY, Pan X, Marklund M, Neal B, Wu JHY. Socio-economic difference in purchases of ultra-processed foods in Australia: an analysis of a nationally representative household grocery purchasing panel. Int J Behav Nutr Phys Act 2022; 19:148. [PMID: 36503612 PMCID: PMC9742014 DOI: 10.1186/s12966-022-01389-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 11/25/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Consumption of ultra-processed foods is associated with increased risk of obesity and non-communicable diseases. Little is known about current patterns of ultra-processed foods intake in Australia. The aim of this study was to examine the amount and type of ultra-processed foods purchased by Australian households in 2019 and determine whether purchases differed by socio-economic status (SES). We also assessed whether purchases of ultra-processed foods changed between 2015 and 2019. METHODS: We used grocery purchase data from a nationally representative consumer panel in Australia to assess packaged and unpackaged grocery purchases that were brought home between 2015 to 2019. Ultra-processed foods were identified according to the NOVA system, which classifies foods according to the nature, extent and purpose of industrial food processing. Purchases of ultra-processed foods were calculated per capita, using two outcomes: grams/day and percent of total energy. The top food categories contributing to purchases of ultra-processed foods in 2019 were identified, and differences in ultra-processed food purchases by SES (Index of Relative Social Advantage and Disadvantage) were assessed using survey-weighted linear regression. Changes in purchases of ultra-processed foods between 2015 to 2019 were examined overall and by SES using mixed linear models. RESULTS In 2019, the mean ± SD total grocery purchases made by Australian households was 881.1 ± 511.9 g/d per capita. Of this, 424.2 ± 319.0 g/d per capita was attributable to purchases of ultra-processed foods, which represented 56.4% of total energy purchased. The largest food categories contributing to total energy purchased included mass-produced, packaged breads (8.2% of total energy purchased), chocolate and sweets (5.7%), biscuits and crackers (5.7%) and ice-cream and edible ices (4.3%). In 2019, purchases of ultra-processed foods were significantly higher for the lowest SES households compared to all other SES quintiles (P < 0.001). There were no major changes in purchases of ultra-processed foods overall or by SES over the five-year period. CONCLUSIONS Between 2015 and 2019, ultra-processed foods have consistently made up the majority of groceries purchased by Australians, particularly for the lowest SES households. Policies that reduce ultra-processed food consumption may reduce diet-related health inequalities.
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Affiliation(s)
- Daisy H Coyle
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia.
| | - Liping Huang
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia
| | - Maria Shahid
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia
| | - Allison Gaines
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia
- Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, London, SW7 2AZ, UK
| | - Gian Luca Di Tanna
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia
| | - Jimmy Chun Yu Louie
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia
- School of Biological Science, Faculty of Science, The University of Hong Kong, Hong Kong, 999077, China
| | - Xiongfei Pan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Matti Marklund
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia
| | - Bruce Neal
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia
- Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, London, SW7 2AZ, UK
| | - Jason H Y Wu
- Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia
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Tomaz LA, Pereira CG, Braga LVM, Prates SMS, Silva ARCS, Soares APDC, de Faria NC, Anastácio LR. From the most to the least flexible nutritional profile: Classification of foods marketed in Brazil according to the Brazilian and Mexican models. Front Nutr 2022; 9:919582. [PMID: 36204372 PMCID: PMC9531871 DOI: 10.3389/fnut.2022.919582] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 08/10/2022] [Indexed: 11/16/2022] Open
Abstract
Nutrient profiling is the science of classifying or ranking foods according to their nutritional composition, for reasons related to disease prevention and health promotion. To be effective, policies such as front-of-pack nutrition labeling (FoPNL) must have an adequate nutritional profile model, since it will determine which products will be eligible to receive a FoPNL. This study aimed to determine the percentage of packaged food and drink products available in Brazil that would be subject to FoPNL under two different legislations: Brazilian and Mexican. This is a cross-sectional study in which we collected information on food products (photos of the ingredients list, the front label, the barcode, and the nutrition facts table) from one of the largest stores of a supermarket chain in the city of Belo Horizonte-MG, Brazil, from March to May 2021 (~6 months after the publication of the Brazilian legislation about FoPNL and a year and a half before the legislation came into force). The products were classified in relation to the BNPM (added sugars, saturated fats, and sodium) and the MNPM (energy, free sugars, saturated fats, trans fats, sodium, non-sugar sweeteners, and caffeine). A total of 3384 products were collected and, after applying the exclusion criteria, 3,335 products were evaluated. Of these, 2,901 would be eligible to receive FoPNL in Brazil and 2,914 would be eligible to receive FoPNL in Mexico. According to the BNPM, 56.7% (95% CI 54.9; 58.5%) of the products were “high in” critical nutrients, 27.1% (95% CI 25.5; 28.7%) of the products in added sugars, 26.7% (95% CI 25.2; 28.4%) of the products in saturated fats, and 21.4% (95% CI 19.9; 22.9%) of the products in sodium. As for the MNPM, 96.8% (95% CI 96.1; 97.4%) of them were “high in” up to five critical nutrients and up to two warning rectangles (caffeine and non-sugar sweeteners), 45.8% (95% CI 44.0; 47.6%) of them in free sugars, 43.7% (95% CI 41.9; 45.5%) of them in saturated fats, and 47.9% (95% CI 46.1; 49.7%) of them in sodium. We concluded that the eligibility to receive FoPNL by BNPM and MNPM was relatively similar between products; however, almost all products would have at least one FoPNL and/or warning rectangles according to Mexican legislation, and nearly half of them would have at least one FoPNL, considering BNPM. The MNPM is much more restrictive than the BNPM. The Nutrient Profile Model (NPM) that regulates FoPNL, and other health policies, must be carefully defined to ensure that foods are properly classified according to their healthiness.
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Godos J, Giampieri F, Al-Qahtani WH, Scazzina F, Bonaccio M, Grosso G. Ultra-Processed Food Consumption and Relation with Diet Quality and Mediterranean Diet in Southern Italy. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11360. [PMID: 36141629 PMCID: PMC9517140 DOI: 10.3390/ijerph191811360] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 08/29/2022] [Accepted: 09/05/2022] [Indexed: 06/16/2023]
Abstract
Ultra-processed food (UPF) consumption has been the focus of major attention due to their potential effects on human health. The aim of this study was to investigate the intake of UPFs in a sample of southern Italian individuals and assess its relationship with nutrient profile and dietary quality parameters. A cross-sectional study was conducted on 1936 individuals older than 18 years randomly selected from the general population. A total of 110 food times have been categorized based on the level of processing using the NOVA classification. The average daily energy intake of the sample was 2091.1 kcal, 38.7% of which were from the NOVA group of unprocessed/minimally processed foods, 5.7% from processed culinary ingredients, 38.3% from processed foods, and 17.9% from the UPFs group. UPFs were more consumed among young, unmarried individuals, with high cultural level, smokers, and often eating out of home. The mean energy share of UPFs varied from 6.3% of total daily energy intake for individuals in the lowest quintile of UPF consumption to 34.2% for those in the upper quintile. Within the UPF group, the highest energy contribution was provided by fast foods and sweets. Compared to the lowest quintile of UPF consumption, individuals in the highest quintile consumed, on average, additional 300 kcals per day and less fiber. Some plant-derived vitamins, such as vitamin A and vitamin C showed an inverse trend toward increasing shares of UPF consumption, while sodium intake increased. A significant higher intake of UPFs in individuals meeting the European and Italian dietary recommendations for carbohydrates, vitamin B12, vitamin D, and vitamin E was found, while UPFs were less consumed among those meeting the recommendations for total fats, fiber, sodium, potassium, and vitamin C. Finally, individuals displaying a "healthier" dietary profile, such as higher adherence to either the Mediterranean diet, the Dietary Approaches to Stop Hypertension, the Alternate Diet Quality Index, and the Diet Quality Index-International, consumed less UPFs and more unprocessed/minimally processed foods, with minor variation in the other NOVA food categories. In conclusion, consumption of UPF in southern Italy is in line with those reported in some other Mediterranean countries, although it negatively impacted the nutrient profile. It is important to monitor the consumption of UPFs before their availability and popularity put the grounds on younger generations' dietary habits.
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Affiliation(s)
- Justyna Godos
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Francesca Giampieri
- Research Group on Food, Nutritional Biochemistry and Health, European University of the Atlantic, 39011 Santander, Spain
| | - Wahidah H. Al-Qahtani
- Department of Food Sciences & Nutrition, College of Food & Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia
| | - Francesca Scazzina
- Department of Food and Drug, University of Parma, Via Volturno 39, 43125 Parma, Italy
| | - Marialaura Bonaccio
- Department of Epidemiology and Prevention, IRCCS NEUROMED, 86077 Pozzilli, Italy
| | - Giuseppe Grosso
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
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Hosseininasab D, Shiraseb F, Noori S, Jamili S, Mazaheri-Eftekhar F, Dehghan M, da Silva A, Bressan J, Mirzaei K. The relationship between ultra-processed food intake and cardiometabolic risk factors in overweight and obese women: A cross-sectional study. Front Nutr 2022; 9:945591. [PMID: 36017229 PMCID: PMC9396040 DOI: 10.3389/fnut.2022.945591] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 06/29/2022] [Indexed: 11/13/2022] Open
Abstract
Background Cardiovascular diseases (CVDs) are the leading cause of death globally. Based on recent studies, one of the factors that can have detrimental effects on CVD is the consumption of ultra-processed foods (UPFs). The current study investigated the relationship between UPF intake and cardiometabolic risk factors among Iranian women. Methods The current cross-sectional study was conducted on 391 women aged 18-65 years with a body mass index (BMI) ≥ 25 kg/m2. Dietary intake was assessed using a 147-item food frequency questionnaire (FFQ). Anthropometric and biochemistry parameters were also collected. UPFs were identified using the NOVA classification. Results In the present study, women had a mean (standard deviation) age of 36.67 (9.10) years and the mean BMI of 31.26 (4.29) kg/m2. According to our findings, there was a significant association between UPF consumption and transforming growth factor (TGF) (β: 0.101, 95% CI: 0.023, 0.180, p = 0.012), atherogenic coefficient (AC) (β: 0.011, 95% CI: 0.001, 0.032, p = 0.034), visceral fat level (VFL) (β: 0.006, 95% CI: -0.017, 0.029, p = 0.076), and the quantitative insulin sensitivity check index (QUICKI) (β: -3.775, 95%CI: 0.001, 0.001, p = 0.042). Conclusion In conclusion, an increase in consumption of one gram of UPFs is associated with an increase in TGF, AC, and VFL but with a decrease in QUICKI. Despite this, further experimental studies are necessary to draw a more definite conclusion and disentangle the mechanisms by which UPFs may affect health.
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Affiliation(s)
- Dorsa Hosseininasab
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Farideh Shiraseb
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Sahar Noori
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Shahin Jamili
- Department of Surgery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Mahshid Dehghan
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Alessandra da Silva
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, MG, Brazil
| | - Josefina Bressan
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, MG, Brazil
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
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El Kinany K, Huybrechts I, Hatime Z, El Asri A, Boudouaya HA, Deoula MMS, Kampman E, El Rhazi K. Food processing groups and colorectal cancer risk in Morocco: evidence from a nationally representative case-control study. Eur J Nutr 2022; 61:2507-2515. [PMID: 35211850 DOI: 10.1007/s00394-022-02820-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 01/25/2022] [Indexed: 12/19/2022]
Abstract
OBJECTIVE The aim of this study was to investigate the association between the consumption of foods and drinks from different food processing categories using the NOVA classification and CRC risk among Moroccan adults. METHODS 1453 cases and 1453 matched controls aged at least 18 years and recruited from the 5 greater Moroccan regions were interviewed by trained investigators about their habitual diet using a standardized food frequency questionnaire (FFQ). Foods were categorized according to their degree of processing by the NOVA classification. Intakes of each food processing group were categorized into tertiles based on the distribution of controls with the lowest tertile considered as the reference category. Multivariable conditional logistic regression models were used to assess the association between each group and CRC risk (Odds Ratio (OR) and 95% Confidence Intervals (CI)), taking relevant confounders into account. RESULTS High consumption of unprocessed or minimally processed foods (NOVA group 1) was significantly inversely (OR = 0.82, 95%CI = 0.72-0.93), while high consumption of ultra-processed foods and drink products (NOVA group 4) was significantly positively (OR = 1.40, 95% CI = 1.22-1.61) associated with CRC risk as compared to the lowest intake group. These results were similar for colon and rectum sub-sites. CONCLUSION This is the first study to evaluate the association between the NOVA classification groups and CRC risk in an African country. Our results suggest that the consumption of ultra-processed foods and drink products may be associated with an increased risk of developing CRC, but longitudinal studies are needed to confirm these results.
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Affiliation(s)
- Khaoula El Kinany
- Department of Epidemiology and Public Health, Faculty of Medicine and Pharmacy of Fez, Sidi Mohamed Ben Abdellah University, Fez. Km 2, 200 Sidi Harazem Road, 1893, Fez, Morocco
| | - Inge Huybrechts
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Zineb Hatime
- Department of Epidemiology and Public Health, Faculty of Medicine and Pharmacy of Fez, Sidi Mohamed Ben Abdellah University, Fez. Km 2, 200 Sidi Harazem Road, 1893, Fez, Morocco
| | - Achraf El Asri
- Department of Epidemiology and Public Health, Faculty of Medicine and Pharmacy of Fez, Sidi Mohamed Ben Abdellah University, Fez. Km 2, 200 Sidi Harazem Road, 1893, Fez, Morocco
| | - Hanae Abir Boudouaya
- Department of Epidemiology and Public Health, Faculty of Medicine and Pharmacy of Fez, Sidi Mohamed Ben Abdellah University, Fez. Km 2, 200 Sidi Harazem Road, 1893, Fez, Morocco
| | - Meimouna Mint Sidi Deoula
- Department of Epidemiology and Public Health, Faculty of Medicine and Pharmacy of Fez, Sidi Mohamed Ben Abdellah University, Fez. Km 2, 200 Sidi Harazem Road, 1893, Fez, Morocco
| | - Ellen Kampman
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Karima El Rhazi
- Department of Epidemiology and Public Health, Faculty of Medicine and Pharmacy of Fez, Sidi Mohamed Ben Abdellah University, Fez. Km 2, 200 Sidi Harazem Road, 1893, Fez, Morocco.
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Menezes-Júnior LAAD, Andrade ACDS, Coletro HN, Mendonça RDD, Menezes MCD, Machado-Coelho GLL, Meireles AL. Food consumption according to the level of processing and sleep quality during the COVID-19 pandemic. Clin Nutr ESPEN 2022; 49:348-356. [PMID: 35623836 PMCID: PMC8942582 DOI: 10.1016/j.clnesp.2022.03.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 03/11/2022] [Accepted: 03/14/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND AND AIMS Consumption of ultra-processed foods is negatively associated with health outcomes, however, the contribution to sleep quality is limited. Therefore, the objective of this study was to evaluate the association between food intake by frequency and degree of processing and sleep quality in adults during the covid-19 pandemic. METHODS Population-based survey of adults from October to December 2020 in the Iron Quadrangle region, Brazil. The exposure variable was a food intake score that considered the frequency of consumption and food processing degree. The total score ranged from 0 (best) to 48 points (worst food quality), categorized into quartiles. Furthermore, we also evaluated whether individuals replaced their lunch and/or dinner based mostly on fresh/minimally processed foods for ultra-processed foods, for five or more days in the week. The outcome variable was sleep quality assessed with the Pittsburgh Sleep Quality Index. We constructed a contrasting directed acyclic graph (DAG) model to estimate the adjusted odds ratio of the association between score eating and sleep, by logistic regression. RESULTS Most of the 1762 individuals evaluated had poor sleep quality (52.5%). The minimum and maximum food scores were 0 and 30 points (mean 9.16; 95% CI 8.50, 9.81). The higher values of the score corresponded to lower consumption of fresh and minimally processed foods and higher consumption of ultraprocessed foods. In multivariate analysis, individuals in the third food consumption score had 71% greater odds of poor sleep quality (OR = 1.71; 95% CI: 1.03, 2.85) and in the fourth quartile 144% greater odds (OR = 2.44; 95% CI: 1.32, 2.44). Besides, replacing the dinner meal with ultra-processed foods five days or more in the week was also associated with poor sleep quality (OR = 2.01; 95%CI: 1.14, 3.57). CONCLUSION Higher consumption of ultra-processed foods concomitant with lower consumption of fresh and minimally processed foods is associated with a higher chance of poor sleep quality.
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Affiliation(s)
- Luiz Antônio Alves de Menezes-Júnior
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil; Research and Study Group on Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Brazil.
| | | | - Hillary Nascimento Coletro
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil; Research and Study Group on Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Brazil.
| | - Raquel de Deus Mendonça
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil; Research and Study Group on Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Brazil; Department of Clinical and Social Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil.
| | - Mariana Carvalho de Menezes
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil; Research and Study Group on Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Brazil; Department of Clinical and Social Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil.
| | - George Luiz Lins Machado-Coelho
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil; School of Medicine, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil.
| | - Adriana Lúcia Meireles
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil; Research and Study Group on Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Brazil; Department of Clinical and Social Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil.
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On-campus food environment, purchase behaviours, preferences and opinions in a Norwegian university community. Public Health Nutr 2022; 25:1619-1630. [PMID: 34176546 PMCID: PMC9991706 DOI: 10.1017/s136898002100272x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVE To assess the food environment at OsloMet, through the nutritional profile and processing level of available commercial foods and drinks, as well as to determine food-purchasing behaviours, preferences and opinions on the food environment, in order to identify whether interventions on campus need to be conducted. DESIGN Cross-sectional descriptive study. SETTING Pilestredet and Kjeller campus of OsloMet (Norway). PARTICIPANTS To analyse the nutritional profile of products offered at all food outlets (seven canteens, three coffee shops and two vending machines) at the main campuses three criteria were applied: those proposed by the Spanish Agency for Food Safety and Nutrition, the UK nutrient profiling model and those of the Food and Drink Industry Professional Practices Committee Norway. In addition, products were classified by processing level, using the NOVA system. Food purchasing, food choice behaviours and opinions were analysed through a survey online, in which 129 subjects participated. RESULTS With regard to the first of the objectives, the combination of the above-mentioned criteria showed that 39·8 % of the products were 'unhealthy' and 85·9 % were 'ultra-processed'. Regarding the second objective, the most important determinants of food choice were taste, convenience, and cost and nutrition/health value. The most common improvements suggested were lowering the cost, improving the allergen information on labelling and increasing the variety of fresh and healthy foods. CONCLUSIONS A high proportion of the products offered were considered 'unhealthy' and highly processed. Interventions that improve food prices, availability and information on labelling would be well-received in this community.
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Vellinga RE, van Bakel M, Biesbroek S, Toxopeus IB, de Valk E, Hollander A, van 't Veer P, Temme EHM. Evaluation of foods, drinks and diets in the Netherlands according to the degree of processing for nutritional quality, environmental impact and food costs. BMC Public Health 2022; 22:877. [PMID: 35501799 PMCID: PMC9063197 DOI: 10.1186/s12889-022-13282-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 04/18/2022] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE This study investigates nutritional quality, environmental impact and costs of foods and drinks and their consumption in daily diets according to the degree of processing across the Dutch population. DESIGN The NOVA classification was used to classify the degree of processing (ultra-processed foods (UPF) and ultra-processed drinks (UPD)). Food consumption data were derived from the Dutch National Food Consumption Survey 2012-2016. Indicators assessed were nutritional quality (saturated fatty acids (SFA), sodium, mono and disaccharides (sugar), fibre and protein), environmental impact (greenhouse gas (GHG) emissions and blue water use) and food costs. SETTING The Netherlands. PARTICIPANTS Four thousand three hundred thirteen Dutch participants aged 1 to 79 years. RESULTS Per 100 g, UPF were more energy-dense and less healthy than unprocessed or minimally processed foods (MPF); UPF were associated with higher GHG emissions and lower blue water use, and were cheaper. The energy and sugar content of UPD were similar to those of unprocessed or minimally processed drinks (MPD); associated with similar GHG emissions but blue water use was less, and they were also more expensive. In the average Dutch diet, per 2000 kcal, ultra-processed foods and drinks (UPFD) covered 29% (456 g UPF and 437 g UPD) of daily consumption and 61% of energy intake. UPFD consumption was higher among children than adults, especially for UPD. UPFD consumption determined 45% of GHG emissions, 23% of blue water use and 39% of expenses for daily food consumption. UPFD consumption contributed 54% to 72% to daily sodium, sugar and SFA intake. CONCLUSIONS Compared with unprocessed or minimally processed foods and drinks, UPF and UPD were found to be less healthy considering their high energy, SFA, sugar and sodium content. However, UPF were associated higher GHG emissions and with less blue water use and food costs. Therefore daily blue water use and food costs might increase if UPF are replaced by those unprocessed or minimally processed. As nutritional quality, environmental impacts and food costs relate differently to the NOVA classification, the classification is not directly applicable to identify win-win-wins of nutritional quality, environmental impact and costs of diets.
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Affiliation(s)
- Reina E Vellinga
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, Bilthoven, 3721 MA, The Netherlands.
| | - Marieke van Bakel
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, Bilthoven, 3721 MA, The Netherlands
| | - Sander Biesbroek
- Division of Human Nutrition and Health, Wageningen University, P.O. Box 17, 6700 AA, Wageningen, The Netherlands
| | - Ido B Toxopeus
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, Bilthoven, 3721 MA, The Netherlands
| | - Elias de Valk
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, Bilthoven, 3721 MA, The Netherlands
| | - Anne Hollander
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, Bilthoven, 3721 MA, The Netherlands
| | - Pieter van 't Veer
- Division of Human Nutrition and Health, Wageningen University, P.O. Box 17, 6700 AA, Wageningen, The Netherlands
| | - Elisabeth H M Temme
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, Bilthoven, 3721 MA, The Netherlands
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Pereira RC, Souza Carneiro JDD, de Angelis Pereira MC. Evaluating nutrition quality of packaged foods carrying claims and marketing techniques in Brazil using four nutrient profile models. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY 2022; 59:1520-1528. [PMID: 35250075 PMCID: PMC8882526 DOI: 10.1007/s13197-021-05162-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 05/24/2021] [Accepted: 05/28/2021] [Indexed: 12/01/2022]
Abstract
The present study aimed to evaluate the nutrient profile of packaged foods marketed in Brazil, giving insights into healthiness of the Brazilian supermarket packaged food environment, considering different food categories and levels of industrial food processing and presence of nutrition and health claims and marketing strategies. A cross-sectional survey was conducted on the labels of pre-packed foods marketed in a home-shopping website. A stratified random sample (n = 335) was obtained to be analysed by four nutrient profile models: Food Standards Australia New Zealand's Nutrient Profiling Scoring Criterion, UK Nutrient Profile from the Food Standards Agency, Nutrient profile model from Pan American Health Organization, and Nutrition Score from Unilever Food & Health Research (Unilever). Overall, the models shown agreement, besides some differences in the levels of approval. Ultra-processed foods were less healthy. Pass rates for products carrying nutrition and/or health claims have evidenced the presence of these claims may be indicative of slightly better nutritional quality. This did not apply for products with and without marketing techniques. These findings highlight the need for improvement of the supermarket packaged food environment in scenarios like Brazil by increasing efforts to reformulate products to make them healthier, together with appropriate food labelling regulation.
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Affiliation(s)
- Rafaela Corrêa Pereira
- Department of Agricultural Science, Federal Institute of Minas Gerais, Bambuí, MG Brazil
- Department of Nutrition, Federal University of Lavras, PO box 3037, Lavras, MG 37200-900 Brazil
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Coletro HN, Mendonça RDD, Meireles AL, Machado-Coelho GLL, Menezes MCD. Ultra-processed and fresh food consumption and symptoms of anxiety and depression during the COVID - 19 pandemic: COVID Inconfidentes. Clin Nutr ESPEN 2022; 47:206-214. [PMID: 35063203 PMCID: PMC8710821 DOI: 10.1016/j.clnesp.2021.12.013] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 12/01/2021] [Accepted: 12/15/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND & AIM Psychological disorders are an important health problem worldwide. A healthy diet is recommended as one of the measures to prevent and control mental disorders. Epidemiological studies have shown important associations between the consumption of diets rich in nutrients and a lower risk of developing anxiety and depression. Therefore, the aim of this study was to evaluate the association between the prevalence of anxiety and depression symptoms and food consumption, according to the degree of processing, during the COVID-19 pandemic. METHODS An epidemiological household survey was conducted in two cities in Brazil. Anxiety and depression symptoms were assessed using validated scales (Generalized Anxiety Disorder 7-item/Patient Health Questionnaire-9), and food consumption was assessed using a qualitative food frequency questionnaire referring to consumption within the last 3 months. The foods were categorized according to the NOVA classification for fresh/minimally processed food and ultra-processed food, using the average weekly consumption as the cutoff. For data analysis, adjusted Poisson regression with robust variance was utilized to estimate the prevalence ratio and 95% confidence interval (CI). RESULTS The consumption of fresh/minimally processed foods above the weekly average frequency was associated with a lower prevalence of symptoms of depression (PR: 0.5, 95% CI: 0.3; 0.7). Consumption above the weekly average of ultra-processed foods was associated with a higher prevalence of anxiety (PR: 1.5 and 95% CI: 1.03; 2.3) and depression symptoms (PR: 1.5, 95% CI: 1.0; 2.1, P = 0.034). CONCLUSION Increased consumption of ultra-processed foods is associated with a higher occurrence of anxiety and depression symptoms; therefore, we recommend an increase in the consumption of fresh/minimally processed foods, as endorsed by the Dietary Guidelines for the Brazilian Population.
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Affiliation(s)
- Hillary Nascimento Coletro
- Universidade Federal de Ouro Preto, School of Nutrition, Postgraduate Program in Health and Nutrition, Research and Study Group on Nutrition and Public Health (GPENSC), Campus Morro do Cruzeiro, 35400-000 Ouro Preto, Minas Gerais, Brazil.
| | - Raquel de Deus Mendonça
- Universidade Federal de Ouro Preto, Department of Clinical and Social Nutrition, Research and Study Group on Nutrition and Public Health (GPENSC), School of Nutrition, Campus Morro do Cruzeiro, 35400-000 Ouro Preto, Minas Gerais, Brazil.
| | - Adriana Lúcia Meireles
- Universidade Federal de Ouro Preto, Department of Clinical and Social Nutrition, Research and Study Group on Nutrition and Public Health (GPENSC), School of Nutrition, Campus Morro do Cruzeiro, 35400-000 Ouro Preto, Minas Gerais, Brazil.
| | - George Luiz Lins Machado-Coelho
- Epidemiology Laboratory, Medical School, Universidade Federal de Ouro Preto, Campus Morro do Cruzeiro, 35400-000 Ouro Preto, Minas Gerais, Brazil.
| | - Mariana Carvalho de Menezes
- Universidade Federal de Ouro Preto, Department of Clinical and Social Nutrition, Research and Study Group on Nutrition and Public Health (GPENSC), School of Nutrition, Campus Morro do Cruzeiro, 35400-000 Ouro Preto, Minas Gerais, Brazil.
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RETONDARIO A, ALVES MADO, FERREIRA SMR. Contribution of ultra-processed food to the nutritional dietary profile of young children school feeding. REV NUTR 2022. [DOI: 10.1590/1678-9865202235e210106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
ABSTRACT Objective To investigate the contribution of ultra-processed food to the nutritional dietary profile of school feeding in public child day-care centers. Methods Cross-sectional study carried out from June-November/2013. Samples from six daily meals were collected in twenty non-consecutive days. A total of 117 school meals (123 food items) were offered to children from 12-36 months of age. The served portions were determined by direct weighting. Physicochemical analyses were performed to establish the nutritional composition. School meals were classified according to the processing degree: (A) unprocessed/minimally processed/culinary preparations, (B) processed food, or (C) ultra-processed food. The contribution of each group to the quantity of energy, macronutrients and sodium was calculated. Student’s t test was applied for comparison between groups. Results Ultra-processed meals contributed to 45.8% of energy, 33.9% of lipids, 42.8% of proteins, 48.9% of carbohydrates, and 20.9% of sodium. All lunches and 90% of dinners were classified as unprocessed/minimally processed/culinary preparations. 39.0% of the meals were ultra-processed (mainly breakfast and snacks). Ultra-processed meals had a greater quantity of energy (p=0.026) and carbohydrates (p<0.001) per serving, while unprocessed/minimally processed/culinary preparations offered more sodium per serving (p<0.001). Conclusion Although most meals were classified as unprocessed/minimally processed/culinary preparations, ultra-processed food, which should be avoided at this stage of life, are offered daily, contributing with higher energy and carbohydrates offer per serving. The municipality need to improve the quality of the meals offered to children in these child day-care centers, observing the new Resolution nº 6/2020 that came into effect in 2021.
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Nutritional Quality and Degree of Processing of Children's Foods Assessment on the French Market. Nutrients 2021; 14:nu14010171. [PMID: 35011047 PMCID: PMC8747148 DOI: 10.3390/nu14010171] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/10/2021] [Accepted: 12/14/2021] [Indexed: 11/16/2022] Open
Abstract
Food packaging marketing techniques which appeal to children (such as cartoon characters and brand mascots) affect children's choices, preferences, and eating habits. Several studies have assessed the nutritional quality of food intended to children in various countries and concluded that most were high in fat, salt, and sugar (HFSS) and ultra-processed foods. The aim of this study is to analyse products intended for children over the age of 3 (foods and beverages with relevant marketing elements on the packaging) available on the French market as regards: (1) nutritional quality, based on the Nutri-Score labelling system, (2) compliance with expected nutritional profile suitable for children, according to the criteria of the WHO Europe Nutrient Profile Model, and (3) degree of processing, as defined by the NOVA classification, from packaging collected in 20 stores (hyper/supermarkets, hard-discount retail chains, and organic food stores). The marketing strategies most often used on children's products are cartoons (97.22%; n = 1120) and mascots (77.78%; n = 896). A total of 1155 products were included in the study, most of which were sugary foods: almost a quarter of the products in the sample (23.81%; n = 275) list a sweetener as the first ingredient, and most of them (89.52%; n = 1034) contain free sugars according to the WHO definition. All the products included in our study feature marketing elements targeting on the packaging, yet 94.88% do not meet the criteria of the WHO Europe Nutrient Profile Model. Most (58.68%; n = 676) belong to Nutri-Score groups D and E, with the highest proportion in group D (39.32%; n = 453) and are ultra-processed (87.97%; n = 1016), especially through the use of flavourings and ultra-processed sugars. Using the Nutri-Score, the WHO Europe Nutrient Profile Model, and the NOVA classification, this study suggests that a significant share of pre-packaged foods marketed to children do not have an adequate nutritional profile. As such, measures are needed to regulate what marketing elements aimed at children can be included on packaging, based on these criteria.
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Li Y, Su J, Luo D, Duan Y, Huang Z, He M, Tao J, Xiao S, Xiao Y, Chen X, Shen M. Processed Food and Atopic Dermatitis: A Pooled Analysis of Three Cross-Sectional Studies in Chinese Adults. Front Nutr 2021; 8:754663. [PMID: 34938758 PMCID: PMC8685501 DOI: 10.3389/fnut.2021.754663] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 11/17/2021] [Indexed: 01/06/2023] Open
Abstract
Objective: The effect of processed foods on atopic dermatitis (AD) in adults is unclear. This study was to evaluate the association between processed foods and AD in the Chinese adult population. Design: This study included three population-based cross-sectional studies using cluster sampling by villages, institutions, or factories. Participants underwent dermatological examinations by certificated dermatologists and a food frequency questionnaire survey. A spot urine sample was collected to estimate the daily sodium intake. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were presented as the effect size. Setting: Shiyan city of Hubei province, and Huayuan, Shimen, Hengyang, Zhuzhou, and Changsha of Hunan province. Participants: Automobile manufacture workers from Shiyan of Hubei province, and rural residents and civil servants from Hunan. Results: A total of 15,062 participants, including 3,781 rural residents, 5,111 civil servants, and 6,170 workers, completed all evaluations. Compared to those hardly consumed pickles, consumption of pickles 1–3 times per week was significantly associated with AD (aOR: 1.35; 95% CI: 1.06–1.70). The intake of processed meats 1–3 times per month (aOR: 1.29; 95% CI: 1.05–1.58) and 1–3 times per week (aOR: 1.44; 95% CI: 1.11–1.87) were associated with AD dose-dependently when compared with those who rarely ate processed meats. Compared with non-consumers, the consumption of any processed foods 1–3 times per week (aOR: 1.39; 95% CI: 1.08–1.80) and ≥4 times per week (aOR: 1.41; 95% CI: 1.05–1.89) showed increased risks of AD. A positive association of estimated sodium intake with AD was also observed. Conclusion: Intake of processed foods is associated with AD in Chinese adults.
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Affiliation(s)
- Yajia Li
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
| | - Juan Su
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
| | - Dan Luo
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Yanying Duan
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, China
| | - Zhijun Huang
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Meian He
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Juan Tao
- Department of Dermatology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Yi Xiao
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
| | - Xiang Chen
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
| | - Minxue Shen
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China.,Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
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Dicken SJ, Batterham RL. The Role of Diet Quality in Mediating the Association between Ultra-Processed Food Intake, Obesity and Health-Related Outcomes: A Review of Prospective Cohort Studies. Nutrients 2021; 14:23. [PMID: 35010898 PMCID: PMC8747015 DOI: 10.3390/nu14010023] [Citation(s) in RCA: 98] [Impact Index Per Article: 32.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 12/14/2021] [Accepted: 12/16/2021] [Indexed: 12/11/2022] Open
Abstract
Prospective cohort studies show that higher intakes of ultra-processed food (UPF) increase the risk of obesity and obesity-related outcomes, including cardiovascular disease, cancer and type 2 diabetes. Whether ultra-processing itself is detrimental, or whether UPFs just have a lower nutritional quality, is debated. Higher UPF intakes are inversely associated with fruit, vegetables, legumes and seafood consumption. Therefore, the association between UPFs and poor health could simply be from excess nutrient intake or from a less healthful dietary pattern. If so, adjustment for dietary quality or pattern should explain or greatly reduce the size of the significant associations between UPFs and health-related outcomes. Here, we provide an overview of the literature and by using a novel approach, review the relative impact of adjusting for diet quality/patterns on the reported associations between UPF intake and health-related outcomes in prospective cohort studies. We find that the majority of the associations between UPFs, obesity and health-related outcomes remain significant and unchanged in magnitude after adjustment for diet quality or pattern. Our findings suggest that the adverse consequences of UPFs are independent of dietary quality or pattern, questioning the utility of reformulation to mitigate against the obesity pandemic and wider negative health outcomes of UPFs.
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Affiliation(s)
- Samuel J. Dicken
- Centre for Obesity Research, Department of Medicine, University College London (UCL), London WC1E 6JF, UK;
| | - Rachel L. Batterham
- Centre for Obesity Research, Department of Medicine, University College London (UCL), London WC1E 6JF, UK;
- Bariatric Centre for Weight Management and Metabolic Surgery, University College London Hospital (UCLH), London NW1 2BU, UK
- National Institute for Health Research, Biomedical Research Centre, University College London Hospital (UCLH), London W1T 7DN, UK
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Wilkinson LL, Embling R, Raynor H, Brunstrom JM, Higgs S, Lee MD. Multi-component food-items and eating behaviour: What do we know and what do we need to know? Appetite 2021; 168:105718. [PMID: 34587544 DOI: 10.1016/j.appet.2021.105718] [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: 04/06/2021] [Revised: 09/03/2021] [Accepted: 09/24/2021] [Indexed: 11/16/2022]
Abstract
Multi-component food-items are single food products that comprise more than one food class, brought together usually via some form of processing. Importantly, individual components of the food-item remain discernible and sensorially distinguishable from each other (e.g., chocolate chip cookies or 'choc ice'). Despite a sizable research literature on the formulation of such products, there lacks a concomitant research literature on the effect(s) of multi-component food-items (compared to single component food-items) on eating behaviour. Considerable previous research has investigated the effect of multiple separate food items on food intake, portion size selection and palatability. However, studies rarely use test foods that capture the physical or chemical interactions between components that are characteristic of multi-component foods. Nevertheless, previous research and relevant theory allow us to generate hypotheses about how multi-component foods may affect eating behaviour; consideration of food variety and perceived sensory complexity suggest that consumption of multi-component foods are likely to increase perceived palatability of such foods, self-selected portion size and food intake. Moreover, many (but not all) multi-component foods would be considered ultra-processed, which is a driver of food intake in and of itself. One possibility is that food components brought together as part of a multi-component food-item interact to strongly drive eating behaviour. To explore this idea, researchers will need to work across disciplines to address various practical and methodological barriers including the technical preparation of test foods.
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Affiliation(s)
- Laura L Wilkinson
- School of Psychology, Faculty of Medicine, Health and Life Science, Swansea University, UK.
| | - Rochelle Embling
- School of Psychology, Faculty of Medicine, Health and Life Science, Swansea University, UK.
| | - Hollie Raynor
- Department of Nutrition, College of Education, Health and Human Sciences, The University of Tennessee Knoxville, USA.
| | - Jeffrey M Brunstrom
- Nutrition and Behaviour Unit, School of Psychological Science, University of Bristol, UK.
| | | | - Michelle D Lee
- School of Psychology, Faculty of Medicine, Health and Life Science, Swansea University, UK.
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Meadows AD, Swanson SA, Galligan TM, Naidenko OV, O’Connell N, Perrone-Gray S, Leiba NS. Packaged Foods Labeled as Organic Have a More Healthful Profile Than Their Conventional Counterparts, According to Analysis of Products Sold in the U.S. in 2019-2020. Nutrients 2021; 13:3020. [PMID: 34578899 PMCID: PMC8469099 DOI: 10.3390/nu13093020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 08/25/2021] [Accepted: 08/27/2021] [Indexed: 11/16/2022] Open
Abstract
The organic food market's recent rapid global growth reflects the public's interest in buying certified organic foods, including packaged products. Our analysis shows that packaged foods containing fewer ingredients associated with negative public health outcomes are more likely to be labeled organic. Previous studies comparing organic and conventional foods focused primarily on nutrient composition. We expanded this research by additionally examining ingredient characteristics, including processing and functional use. Our dataset included nutrition and ingredient data for 8240 organic and 72,205 conventional food products sold in the U.S. from 2019 to 2020. Compared to conventional foods, organic foods in this dataset had lower total sugar, added sugar, saturated fat and sodium content. Using a mixed effects logistic regression, we found that likelihood of classification as organic increased as sodium content, added sugar content and the number of ultra-processed ingredients and cosmetic additives on the product label decreased. Products containing no trans-fat ingredients were more likely to be labeled organic. A product was more likely to be classified "organic" the more potassium it contained. These features of organic foods sold in the U.S. are significant because lower dietary ingestion of ultra-processed foods, added sugar, sodium and trans-fats is associated with improved public health outcomes.
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Affiliation(s)
- Aurora Dawn Meadows
- Environmental Working Group, Washington, DC 20009, USA; (S.A.S.); (T.M.G.); (O.V.N.)
| | - Sydney A. Swanson
- Environmental Working Group, Washington, DC 20009, USA; (S.A.S.); (T.M.G.); (O.V.N.)
| | - Thomas M. Galligan
- Environmental Working Group, Washington, DC 20009, USA; (S.A.S.); (T.M.G.); (O.V.N.)
| | - Olga V. Naidenko
- Environmental Working Group, Washington, DC 20009, USA; (S.A.S.); (T.M.G.); (O.V.N.)
| | - Nathaniel O’Connell
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC 27109, USA;
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Bui C, Lin LY, Wu CY, Chiu YW, Chiou HY. Association between Emotional Eating and Frequency of Unhealthy Food Consumption among Taiwanese Adolescents. Nutrients 2021; 13:2739. [PMID: 34444899 PMCID: PMC8401002 DOI: 10.3390/nu13082739] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 08/05/2021] [Accepted: 08/06/2021] [Indexed: 12/28/2022] Open
Abstract
Emotional eating is one factor that increases the consumption of unhealthy food. This study aimed to investigate the association between emotional eating and frequencies of consuming fast food, high-fat snacks, processed meat products, dessert foods, and sugar-sweetened beverages (SSBs) in adolescents. The baseline survey data (2015) from the Taiwan Adolescent to Adult Longitudinal Study (TAALS) were fitted into multivariate logistic regression models adjusted for sex, school type, Body Mass Index (BMI), eating while doing something, nutrition label reading, skipping breakfast, smoking, binge drinking, sedentary lifestyle, physical activity, peer and school support, and parental education level. Among the 18,461 participants (48.5% male and 51.5% female), those exhibiting emotional eating were more likely to consume fast food (Odds ratio (OR) = 2.40, 95% Confidence interval (CI): 2.18-2.64), high-fat snacks (OR = 2.30, 95% CI: 2.12-2.49), processed meat products (OR = 1.92, 95% CI: 1.78-2.08), dessert foods (OR = 2.49, 95% CI: 2.31-2.69), and sugar-sweetened beverages (OR = 1.83, 95% CI: 1.70-1.98). Factors that were positively associated with unhealthy food consumption included eating while doing other activities, binge drinking, smoking, and sedentary lifestyle. Among all the covariates, nutrition label reading was the only factor that was inversely associated with frequent unhealthy food consumption. Sex and school type may moderate the effect of emotional eating on the frequent consumption of specific unhealthy food groups. In conclusion, adolescents with high emotional eating were more likely to report frequent consumption of unhealthy foods in Taiwan. Our findings showed that male participants appeared to consume fast foods, high-fat snacks, processed meat, and SSBs more often and dessert foods less often than females. Future longitudinal studies are recommended for understanding the causal relationship between emotional eating and unhealthy food consumption.
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Affiliation(s)
- Chung Bui
- Ph.D. Program in Global Health and Health Security, College of Public Health, Taipei Medical University, 250 Wuxing St., Taipei City 110, Taiwan;
- Department of Health Communication and Education, Quang Ninh Provincial Center for Disease Control (CDC) in Vietnam, 651 Le Thanh Tong St., Bach Dang Ward, Ha Long 01108, Vietnam
| | - Li-Yin Lin
- Master Program in Applied Epidemiology, College of Public Health, Taipei Medical University, 250 Wuxing St., Taipei City 110, Taiwan;
- School of Public Health, College of Public Health, Taipei Medical University, 250 Wuxing St., Taipei City 110, Taiwan
- Department of Leisure Industry and Health Promotion, National Taipei University of Nursing and Health Sciences, 365 Mingde Road, Beitou District, Taipei 11219, Taiwan
| | - Chih-Yi Wu
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Miaoli County 35053, Taiwan;
| | - Ya-Wen Chiu
- Ph.D. Program in Global Health and Health Security, College of Public Health, Taipei Medical University, 250 Wuxing St., Taipei City 110, Taiwan;
- Master Program in Global Health and Development, College of Public Health, Taipei Medical University, 250 Wuxing St., Taipei City 110, Taiwan
| | - Hung-Yi Chiou
- School of Public Health, College of Public Health, Taipei Medical University, 250 Wuxing St., Taipei City 110, Taiwan
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Miaoli County 35053, Taiwan;
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Romero Ferreiro C, Martín-Arriscado Arroba C, Cancelas Navia P, Lora Pablos D, Gómez de la Cámara A. Ultra-processed food intake and all-cause mortality: DRECE cohort study. Public Health Nutr 2021; 25:1-10. [PMID: 34348832 PMCID: PMC9991788 DOI: 10.1017/s1368980021003256] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 07/17/2021] [Accepted: 08/02/2021] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To determine the association between ultra-processed food (UPF) intake and all-cause mortality in a representative sample of Spanish population. DESIGN Prospective cohort design in which follow-up lasted from baseline (1991) to mortality date or 31 December 2017, whichever was first. Dietary information was collected using a validated frequency questionnaire and categorised following the NOVA classification according to the extent of food processing. The association between consumption of UPF and mortality was analysed using Cox models. Isoenergetic substitution models were constructed to compare the health effects of the NOVA groups. SETTING Cohort from the Diet and Risk of Cardiovascular Diseases (CVD) in Spain (DRECE) study, representative of the Spanish population. PARTICIPANTS Totally, 4679 subjects between 5 and 59 years old. RESULTS Average consumption of UPF was 370·8 g/d (24·4 % of energy intake). After a median follow-up of 27 years, 450 deaths occurred. Those who consumed the highest amount of UPF had higher risk of mortality. For every 10 % of the energy intake from UPF consumption, an increase of 15 % in the hazard of all-cause mortality was observed (HR 1·15; (95 % CI 1·03, 1·27); P-value = 0·012). Substitution of UPF with minimally processed foods was significantly associated with a decreased risk of mortality. CONCLUSIONS An increase in UPF consumption was associated with higher risk of all-cause mortality in a representative sample of the Spanish population. Moreover, the theoretical substitution of UPF with unprocessed or minimally processed foods leads to a decrease in mortality. These results support the need to promote diets based on unprocessed or minimally processed foods.
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Affiliation(s)
- Carmen Romero Ferreiro
- Scientific Support Unit (i+12), Hospital Universitario 12 de Octubre, Avenida de Córdoba, s/n, Madrid28041, Spain
- Spanish Clinical Research Network (SCReN), Madrid, Spain
| | - Cristina Martín-Arriscado Arroba
- Scientific Support Unit (i+12), Hospital Universitario 12 de Octubre, Avenida de Córdoba, s/n, Madrid28041, Spain
- Spanish Clinical Research Network (SCReN), Madrid, Spain
| | - Pilar Cancelas Navia
- Scientific Support Unit (i+12), Hospital Universitario 12 de Octubre, Avenida de Córdoba, s/n, Madrid28041, Spain
- Spanish Clinical Research Network (SCReN), Madrid, Spain
| | - David Lora Pablos
- Scientific Support Unit (i+12), Hospital Universitario 12 de Octubre, Avenida de Córdoba, s/n, Madrid28041, Spain
- Spanish Clinical Research Network (SCReN), Madrid, Spain
- Consorcio de Investigación Biomédica en Red de epidemiología y salud pública (CIBEResp), Madrid, Spain
- Faculty of Statistics, Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Agustín Gómez de la Cámara
- Scientific Support Unit (i+12), Hospital Universitario 12 de Octubre, Avenida de Córdoba, s/n, Madrid28041, Spain
- Spanish Clinical Research Network (SCReN), Madrid, Spain
- Consorcio de Investigación Biomédica en Red de epidemiología y salud pública (CIBEResp), Madrid, Spain
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Pinho MGM, Lakerveld J, Harbers MC, Sluijs I, Vermeulen R, Huss A, Boer JMA, Verschuren WMM, Brug J, Beulens JWJ, Mackenbach JD. Ultra-processed food consumption patterns among older adults in the Netherlands and the role of the food environment. Eur J Nutr 2021; 60:2567-2580. [PMID: 33236180 PMCID: PMC8275501 DOI: 10.1007/s00394-020-02436-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 10/29/2020] [Indexed: 12/11/2022]
Abstract
PURPOSE To describe the patterns of ultra-processed foods (UPFs) consumption in the Netherlands; to test if exposure to the food environment is associated with UPFs consumption; and if this association differed across educational levels and neighbourhood urbanisation. METHODS Cross-sectional study using 2015-data of 8104 older adults from the Dutch EPIC cohort. Proportion of UPFs consumption was calculated from a validated food-frequency questionnaire. Exposure to the food environment was defined as proximity and availability of supermarkets, fast-food restaurants, full-service restaurants, convenience stores, candy stores and cafés. Consumption of UPFs was expressed as both percentage of total grams and total kilocalories. RESULTS The study population was aged 70(± 10 SD) years and 80.5% was female. Average UPFs consumption was 17.8% of total food intake in grams and 37% of total energy intake. Those who consumed greater amounts of UPFs had a poorer overall diet quality. Adjusted linear regression models showed that closer proximity and larger availability to any type of food retailer was associated with lower UPFs consumption (both in grams and kilocalories). Somewhat stronger significant associations were found for proximity to restaurants (β = - 1.6%, 95% confidence interval (CI) = - 2.6; - 0.6), and supermarkets (β = - 2.2%, 95%CI = - 3.3; - 1.1); i.e., Individuals living within 500 m from the closest supermarket, as compared to 1500 m, had 2.6% less calories from UPFs. No differences were found on analyses stratified for urbanisation and education. CONCLUSIONS Using various measures of exposure to the food environment, we found that exposure to restaurants and supermarkets was associated with somewhat lower consumption of UPFs.
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Affiliation(s)
- Maria Gabriela M Pinho
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1089A, 1081 BT, Amsterdam, The Netherlands.
- Upstream Team, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, Amsterdam, The Netherlands.
| | - Jeroen Lakerveld
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1089A, 1081 BT, Amsterdam, The Netherlands
- Upstream Team, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Faculty of Geosciences, Utrecht University, Princetonlaan 8a, 3584 CB, Utrecht, The Netherlands
| | - Marjolein C Harbers
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Roel Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 1, 3584 CL, Utrecht, The Netherlands
| | - Anke Huss
- Institute for Risk Assessment Sciences, Utrecht University, Yalelaan 1, 3584 CL, Utrecht, The Netherlands
| | - Jolanda M A Boer
- National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands
| | - Johannes Brug
- National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands
- Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Nieuwe Achtergracht 166, 1018 WV, Amsterdam, The Netherlands
| | - Joline W J Beulens
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1089A, 1081 BT, Amsterdam, The Netherlands
- Upstream Team, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Joreintje D Mackenbach
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1089A, 1081 BT, Amsterdam, The Netherlands
- Upstream Team, Amsterdam UMC, VU University Amsterdam, De Boelelaan 1089a, Amsterdam, The Netherlands
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Martinez-Perez C, San-Cristobal R, Guallar-Castillon P, Martínez-González MÁ, Salas-Salvadó J, Corella D, Castañer O, Martinez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Sánchez VM, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Vázquez C, Ros E, Bes-Rastrollo M, Babio N, Sorlí JV, Lassale C, Pérez-Sanz B, Vaquero-Luna J, Bazán MJA, Barceló-Iglesias MC, Konieczna J, Ríos AG, Bernal-López MR, Santos-Lozano JM, Toledo E, Becerra-Tomás N, Portoles O, Zomeño MD, Abete I, Moreno-Rodriguez A, Lecea-Juarez O, Nishi SK, Muñoz-Martínez J, Ordovás JM, Daimiel L. Use of Different Food Classification Systems to Assess the Association between Ultra-Processed Food Consumption and Cardiometabolic Health in an Elderly Population with Metabolic Syndrome (PREDIMED-Plus Cohort). Nutrients 2021; 13:nu13072471. [PMID: 34371982 PMCID: PMC8308804 DOI: 10.3390/nu13072471] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 07/07/2021] [Accepted: 07/13/2021] [Indexed: 01/12/2023] Open
Abstract
The association between ultra-processed food (UPF) and risk of cardiometabolic disorders is an ongoing concern. Different food processing-based classification systems have originated discrepancies in the conclusions among studies. To test whether the association between UPF consumption and cardiometabolic markers changes with the classification system, we used baseline data from 5636 participants (48.5% female and 51.5% male, mean age 65.1 ± 4.9) of the PREDIMED-Plus (“PREvention with MEDiterranean DIet”) trial. Subjects presented with overweight or obesity and met at least three metabolic syndrome (MetS) criteria. Food consumption was classified using a 143-item food frequency questionnaire according to four food processing-based classifications: NOVA, International Agency for Research on Cancer (IARC), International Food Information Council (IFIC) and University of North Carolina (UNC). Mean changes in nutritional and cardiometabolic markers were assessed according to quintiles of UPF consumption for each system. The association between UPF consumption and cardiometabolic markers was assessed using linear regression analysis. The concordance of the different classifications was assessed with intra-class correlation coefficients (ICC3, overall = 0.51). The highest UPF consumption was obtained with the IARC classification (45.9%) and the lowest with NOVA (7.9%). Subjects with high UPF consumption showed a poor dietary profile. We detected a direct association between UPF consumption and BMI (p = 0.001) when using the NOVA system, and with systolic (p = 0.018) and diastolic (p = 0.042) blood pressure when using the UNC system. Food classification methodologies markedly influenced the association between UPF consumption and cardiometabolic risk markers.
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Affiliation(s)
- Celia Martinez-Perez
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (C.M.-P.); (J.M.O.); (L.D.)
| | - Rodrigo San-Cristobal
- Cardiometabolic Nutrition Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
- Correspondence: ; Tel.: +34-917-278-100 (ext. 309)
| | - Pilar Guallar-Castillon
- Cardiovascular and Nutritional Epidemiology Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid—IdiPaz Hospital, 28046 Madrid, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (V.M.S.); (J.J.G.)
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31009 Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain;
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (M.D.Z.); (J.M.-M.)
| | - Jose Alfredo Martinez
- Cardiometabolic Nutrition Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31009 Pamplona, Spain;
| | - Ángel M. Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Nursing, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29016 Málaga, Spain;
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (V.M.S.); (J.J.G.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), 03010 Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14071 Córdoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08007 Barcelona, Spain
| | - Francisco J. Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29016 Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Lluis Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Service of Preventive Medicine, Complejo Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canary Health Service, 35001 Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (V.M.S.); (J.J.G.)
- Department of Preventive Medicine and Public Health, University of Granada, 18011 Granada, Spain
| | - Josep A. Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS & IDISBA, 07122 Palma de Mallorca, Spain
| | - Vicente Martín Sánchez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (V.M.S.); (J.J.G.)
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - José J. Gaforio
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (V.M.S.); (J.J.G.)
- Departamento de Ciencias de la Salud, Centro de Estudios Avanzados en Olivar y Aceites de Oliva, Universidad de Jaén, 23071 Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain;
| | - Josep Vidal
- Biomedical Research Centre for Diabetes and Metabolic Diseases Network (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain;
- Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, 08007 Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Endocrinology and Nutrition, Hospital Fundación Jiménez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autónoma, 28015 Madrid, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, 08007 Barcelona, Spain
| | - Maira Bes-Rastrollo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31009 Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain;
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Jose V. Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Camille Lassale
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (M.D.Z.); (J.M.-M.)
| | - Beatriz Pérez-Sanz
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31009 Pamplona, Spain;
| | - Jessica Vaquero-Luna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - María Julia Ajejas Bazán
- Department of Nursing, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29016 Málaga, Spain;
- Department of Nursing, Faculty of Nursing, Physiotherapy and Podiatry, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | | | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
| | - Antonio García Ríos
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14071 Córdoba, Spain
| | - María Rosa Bernal-López
- Internal Medicine Department, Instituto de Investigación Biomédica de Málaga (IBIMA), Regional University Hospital of Malaga, 29010 Malaga, Spain;
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31009 Pamplona, Spain
| | - Nerea Becerra-Tomás
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain;
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Portoles
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - María Dolores Zomeño
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (M.D.Z.); (J.M.-M.)
- School of Health Sciences, Blanquerna-Ramon Llull University, 08001 Barcelona, Spain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31009 Pamplona, Spain;
| | - Anai Moreno-Rodriguez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Oscar Lecea-Juarez
- Atención Primaria, Osasunbidea, Servicio Navarro de Salud, 31003 Pamplona, Spain;
| | - Stephanie K. Nishi
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain;
| | - Júlia Muñoz-Martínez
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (M.D.Z.); (J.M.-M.)
| | - José M. Ordovás
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (C.M.-P.); (J.M.O.); (L.D.)
- Nutrition and Genomics Laboratory, JM_USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02155, USA
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (C.M.-P.); (J.M.O.); (L.D.)
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Availability, Nutritional Profile and Processing Level of Food Products Sold in Vending Machines in a Spanish Public University. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18136842. [PMID: 34202231 PMCID: PMC8297357 DOI: 10.3390/ijerph18136842] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 06/19/2021] [Accepted: 06/20/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Given the lack of data about the nutritional value and other determinants of the consumption of foods and drinks sold in vending machines in European universities and the relevance of this sector in Spain, it is necessary to obtain scientific data on this topic. The present study aimed to assess the availability, nutritional profile and processing level of food products from vending machines at a Spanish public university and to investigate differences in nutritional profile according to the cost and promotion. METHODS Cross-sectional descriptive study. Data from all products available (3894) were collected and analysed using the criteria of the Spanish Agency for Consumption, Food Safety and Nutrition and the United Kingdom nutrient profiling model. The items were also classified according to the degree of industrial processing through the NOVA system. Promotion was assessed, taking into account where products were displayed in vending machines. RESULTS The most common products were sweets (23.4% of the total options), coffee (20.3%) and salty snacks (11.7%). According to the combination of the two criteria used to assess nutritional profile, 48.6% of the products were classified as with low nutritional quality (LNQ). In addition, 73.8% of the items were categorised as "ultra-processed". Foods (β = 0.31, 95% CI 0.24, 0.39, p < 0.001) and hot drinks (β = 0.46, 95% CI 0.39, 0.52, p < 0.001) with high nutritional quality (HNQ) were more likely to have higher prices than alternatives with LNQ. Both foods and cold drinks that support healthy dietary recommendations were promoted to a lesser extent than those with LNQ (p < 0.001). CONCLUSION Almost half of the products were of LNQ and three-quarters had a high level of processing. Moreover, foods and cold drinks with LNQ were less expensive and more often promoted than alternatives with HNQ.
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Cruz-Casarrubias C, Tolentino-Mayo L, Vandevijvere S, Barquera S. Estimated effects of the implementation of the Mexican warning labels regulation on the use of health and nutrition claims on packaged foods. Int J Behav Nutr Phys Act 2021; 18:76. [PMID: 34112183 PMCID: PMC8194035 DOI: 10.1186/s12966-021-01148-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 06/02/2021] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND The use of health and nutrition claims on front-of-pack labels may impact consumers' food choices; therefore, many countries have established regulations to avoid misinformation. This study describes the prevalence of health and nutrition claims on the front-of-pack of food products in retail stores in Mexico and estimate the potential effects of the Official Mexican Standards 051 (new regulation that includes specifications for implementing warning labels and other packaging elements such as health and nutrition claims on less healthy foods) on the prevalence of these claims. METHODS This is a cross-sectional study in which health and nutrition claims, nutrition information panels, and the list of ingredients of all foods and beverages available in the main retail stores in Mexico City were collected. The products were grouped by level of processing according to the NOVA food system classification. Claims were classified using the internationally harmonized INFORMAS taxonomy. According to the criteria of the new Mexican front-of-pack labelling regulation, the effect on the reduction on the prevalence of health and nutrition claims was estimated by type of food and by energy and nutrients of concern thresholds. RESULTS Of 17,264 products, 33.8% displayed nutrition claims and 3.4% health claims. In total, 80.8% of all products in the Mexican market were classified as "less healthy"; 48.2% of products had excess calories, 44.6% had excess sodium, and 40.7% excess free sugars. The new regulation would prevent 39.4% of products with claims from displaying health and nutrition claims (P < 0.001); the largest reduction is observed for ultra-processed foods (51.1%, P < 0.001). The regulation thresholds that resulted in the largest reduction of claims were calories (OR 0.62, P < 0.001) and non-sugar sweeteners (OR 0.54, P < 0.001). CONCLUSIONS The new Mexican front-of-pack labelling regulation will prevent most processed and ultra-processed foods from displaying health and nutrition claims and will potentially improve information on packaging for consumers.
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Affiliation(s)
- Carlos Cruz-Casarrubias
- Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública, Universidad No. 655, Colonia Santa María Ahuacatitlán, Cerrada Los Pinos y Caminera. C.P, Cuernavaca, Morelos, 62100, Mexico
| | - Lizbeth Tolentino-Mayo
- Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública, Universidad No. 655, Colonia Santa María Ahuacatitlán, Cerrada Los Pinos y Caminera. C.P, Cuernavaca, Morelos, 62100, Mexico.
| | - Stefanie Vandevijvere
- Department of Epidemiology and Statistics, School of Population health, The University of Auckland, Auckland, New Zealand
| | - Simón Barquera
- Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública, Universidad No. 655, Colonia Santa María Ahuacatitlán, Cerrada Los Pinos y Caminera. C.P, Cuernavaca, Morelos, 62100, Mexico
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A study of ultra-processing marker profiles in 22,028 packaged ultra-processed foods using the Siga classification. J Food Compost Anal 2021. [DOI: 10.1016/j.jfca.2021.103848] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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