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Erdoğan Gövez N, Köksal E, Martinez-Perez C, Daimiel L. Validity and Reliability of the Turkish Version of the Screening Questionnaire of Highly Processed Food Consumption (sQ-HPF). Nutrients 2024; 16:2552. [PMID: 39125430 PMCID: PMC11314031 DOI: 10.3390/nu16152552] [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: 07/01/2024] [Revised: 07/30/2024] [Accepted: 08/01/2024] [Indexed: 08/12/2024] Open
Abstract
The global consumption of highly (ultra) processed foods (HPFs) is increasing, and it is associated with non-communicable diseases. This study aimed to assess the validity and reliability of the Screening Questionnaire of Highly Processed Food Consumption (sQ-HPF). This study included 94 adults. Sociodemographic data were collected, and anthropometric and blood pressure measurements were performed. The sQ-HPF was translated into Turkish and culturally adapted. Dietary intake was assessed using three-day dietary records. Factor analysis and Cronbach's alpha were used to evaluate the validity and consistency of the sQ-HPF. Test-retest reliability was assessed with the intraclass correlation coefficient (ICC). Three items from the original sQ-HPF were excluded due to low factor loadings. The Kaiser-Meyer Olkin (KMO) coefficient for the measure of sample adequacy was found to be 0.642 and Bartlett's test of sphericity was found to be significant (p < 0.001). A significant correlation was found between the sQ-HPF score and HPF consumption derived from the 3-day dietary records (p < 0.05). Cronbach's alpha was found to be 0.65. Individuals with higher sQ-HPF scores consumed a significantly greater percentage of energy from HPFs (kcal/day) (p < 0.001). The sQ-HPF demonstrated good test-retest reliability (ICC = 0.76). The Turkish version of the sQ-HPF is a valid and reliable tool for assessing HPF consumption patterns and can be used in epidemiological and clinical studies.
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Affiliation(s)
- Nazlıcan Erdoğan Gövez
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Gazi University, Ankara 06490, Turkey;
| | - Eda Köksal
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Gazi University, Ankara 06490, Turkey;
| | - Celia Martinez-Perez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain;
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Lidia Daimiel
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain;
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
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Shinozaki N, Murakami K, Kimoto N, Masayasu S, Sasaki S. Highly Processed Food Consumption and its Association With Overall Diet Quality in a Nationwide Sample of 1,318 Japanese Children and Adolescents: A Cross-Sectional Analysis Based on 8-Day Weighed Dietary Records. J Acad Nutr Diet 2024:S2212-2672(24)00267-3. [PMID: 38852670 DOI: 10.1016/j.jand.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 05/31/2024] [Accepted: 06/04/2024] [Indexed: 06/11/2024]
Abstract
BACKGROUND There is limited evidence regarding the association between consumption of highly processed foods (HPFs) and overall diet quality in children and adolescents from Asian countries. OBJECTIVE This study aimed to examine the association between HPF consumption and overall diet quality in Japanese children and adolescents. DESIGN A cross-sectional analysis was conducted based on 8-day dietary record data collected from volunteers in 32 of 47 prefectures throughout Japan in 2016 to 2020. Foods were categorized into 1 of 4 processing levels using the framework developed by the University of North Carolina at Chapel Hill. Food classification was performed under a low-estimate scenario (classifying mixed dishes consumed outside the home after disaggregation into ingredients) and high-estimate scenario (classifying them into HPFs without food disaggregation). PARTICIPANTS/SETTING A total of 1318 Japanese children and adolescents aged 3 to 17 years participated in the study. MAIN OUTCOME MEASURES Diet quality was assessed using the Healthy Eating Index-2020 and Nutrient-Rich Food Index 9.3. STATISTICAL ANALYSIS Multiple regression models adjusted for sociodemographic and anthropometric characteristics and the survey cycle were used to examine the association between tertiles of the energy contribution of HPFs and diet quality. RESULTS The mean energy contribution of HPFs was 27.3% and 44.3% in the low- and high-estimate scenarios, respectively. The top contributors to total energy intake from HPFs were confectioneries in the low-estimate scenario and cereals and starchy foods in the high-estimate scenario. Irrespective of the scenarios, participants in higher tertiles of energy contribution of HPFs had lower total scores for Healthy Eating Index-2020 and Nutrient-Rich Food Index 9.3 (P for trend < .0001). CONCLUSIONS HPFs accounted for more than one-quarter of the energy intake of Japanese children and adolescents surveyed, and higher consumption of HPFs was associated with lower diet quality. Therefore, reducing HPF consumption may increase overall diet quality among Japanese children and adolescents. Further research is needed to explore the causal nature of this association.
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Affiliation(s)
- Nana Shinozaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - Kentaro Murakami
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan.
| | - Nana Kimoto
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan
| | | | - Satoshi Sasaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan
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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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Pourmotabbed A, Talebi S, Mehrabani S, Babaei A, Khosroshahi RA, Bagheri R, Wong A, Ghoreishy SM, Amirian P, Zarpoosh M, Hojjati Kermani MA, Moradi S. The association of ultra-processed food intake with neurodegenerative disorders: a systematic review and dose-response meta-analysis of large-scale cohorts. Nutr Neurosci 2024:1-14. [PMID: 38753992 DOI: 10.1080/1028415x.2024.2351320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
OBJECTIVES Our systematic review and meta-analysis aimed to uncover the relationship between UPFs intake and neurodegenerative disorders, including multiple sclerosis (MS), Parkinson's disease (PD), Alzheimer's disease (AD), cognitive impairment, and dementia. SETTING A systematic search was conducted using the Scopus, PubMed/MEDLINE, and ISI Web of Science databases without any limitation until June 24, 2023. Relative risk (RR) and 95% confidence interval (CI) were pooled by using a random-effects model, while validated methods examined quality and publication bias via Newcastle-Ottawa Scale, Egger's regression asymmetry, and Begg's rank correlation tests, respectively. RESULTS Analysis from 28 studies indicated that a higher UPFs intake was significantly related to an enhanced risk of MS (RR = 1.15; 95% CI: 1.00, 1.33; I2 = 37.5%; p = 0.050; n = 14), PD (RR = 1.56; 95% CI: 1.21, 2.02; I2 = 64.1%; p = 0.001; n = 15), and cognitive impairment (RR = 1.17; 95% CI: 1.06, 1.30; I2 = 74.1%; p = 0.003; n = 17), although not AD or dementia. We observed that a 25 g increment in UPFs intake was related to a 4% higher risk of MS (RR = 1.04; 95% CI: 1.01, 1.06; I2 = 0.0%; p = 0.013; n = 7), but not PD. The non-linear dose-response relationship indicated a positive non-linear association between UPF intake and the risk of MS (Pnonlinearity = 0.031, Pdose-response = 0.002). This association was not observed for the risk of PD (Pnonlinearity = 0.431, Pdose-response = 0.231). CONCLUSION These findings indicate that persistent overconsumption of UPFs may have an adverse impact on neurodegenerative conditions, potentially leading to a decline in quality of life and reduced independence as individuals age.
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Affiliation(s)
- Ali Pourmotabbed
- Department of Physiology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Sepide Talebi
- Students' Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Sanaz Mehrabani
- Nutrition and Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Ira
| | - Atefeh Babaei
- Department of Physiology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Reza Amiri Khosroshahi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Bagheri
- Department of Exercise Physiology, University of Isfahan, Isfahan, Iran
| | - Alexei Wong
- Department of Health and Human Performance, Marymount University, Arlington, VA, USA
| | - Seyed Mojtaba Ghoreishy
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
- Student research committee, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Parsa Amirian
- General Practitioner, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Mahsa Zarpoosh
- General Practitioner, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Mohammad Ali Hojjati Kermani
- Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sajjad Moradi
- Department of Nutrition and Food Sciences, Research Center for Evidence-Based Health Management, Maragheh University of Medical Sciences, Maragheh, Iran
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Pereira de Araújo T, de Moraes MM, Afonso C, Rodrigues SSP. Trends in ultra-processed food availability and its association with diet-related non-communicable disease health indicators in the Portuguese population. Br J Nutr 2024; 131:1600-1607. [PMID: 38174417 DOI: 10.1017/s0007114523003045] [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: 01/05/2024]
Abstract
Broad variations in dietary and physical activity patterns are part of nutritional transition concept. An additional nutritional transition has as main characteristic the change of consumption of processed foods for ultra-processed foods (UPF). This study aims to evaluate trends of UPF availability in Portuguese population and its association with diet-related non-communicable diseases (NCD) health indicators. This ecological study used data from the Household Budget Surveys conducted by the National Statistics Institute each 5 years within a national representative sample of households. The percentage of UPF was calculated based on the total daily amount of food and beverages available per capita (in grams). Data from the years 1990, 1995, 2000 and 2005 were used, which were retrieved from DAFNE-Anemos Software. NCD age-standardised mortality, prevalence and incidence were obtained from the Global Burden of Disease database, for the years 2000, 2005, 2010 and 2015. Between 1990 and 2005, the UPF availability increased from 3·9 % to 13·8 %. Over the years, almost all food and beverages categories increased the UPF availability contribution, mainly noticeable for milk, sugar, cereal and meat products. Positive correlations were observed between UPF availability and digestive diseases both in prevalence (r = 0·062; P = 0·037) and incidence (r = 0·005; P = 0·010) measures. Neoplasms incidence also showed positive correlation with UPF availability (r = 0·002; P = 0·012). Trends in UPF availability in Portugal increased exponentially. At the same time, there is a trend towards a decrease in unprocessed and processed food availability. The Portuguese population should be made aware of the health risks resulting from excessive consumption of UPF.
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Affiliation(s)
- Taissa Pereira de Araújo
- Faculty of Nutrition and Food Sciences, University of Porto - Rua do Campo Alegre, 823 Porto4150-180, Portugal
- Associated Laboratory ITR, Laboratory for Integrative and Translational Research in Population Health - Institute of Public Health, University of Porto - Rua das Taipas, 135/139 Porto4050-600, Portugal
| | - Milena Miranda de Moraes
- Associated Laboratory ITR, Laboratory for Integrative and Translational Research in Population Health - Institute of Public Health, University of Porto - Rua das Taipas, 135/139 Porto4050-600, Portugal
| | - Cláudia Afonso
- Faculty of Nutrition and Food Sciences, University of Porto - Rua do Campo Alegre, 823 Porto4150-180, Portugal
- Associated Laboratory ITR, Laboratory for Integrative and Translational Research in Population Health - Institute of Public Health, University of Porto - Rua das Taipas, 135/139 Porto4050-600, Portugal
| | - Sara Simões Pereira Rodrigues
- Faculty of Nutrition and Food Sciences, University of Porto - Rua do Campo Alegre, 823 Porto4150-180, Portugal
- Associated Laboratory ITR, Laboratory for Integrative and Translational Research in Population Health - Institute of Public Health, University of Porto - Rua das Taipas, 135/139 Porto4050-600, Portugal
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Mehrabani S, Shoaei N, Shateri Z, Askarpour M, Nouri M, Keshani P, Honarvar B, Homayounfar R. Consumption of ultra-processed foods could influence the metabolic syndrome odds: A cross-sectional study. Food Sci Nutr 2024; 12:2567-2577. [PMID: 38628179 PMCID: PMC11016394 DOI: 10.1002/fsn3.3938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 12/13/2023] [Accepted: 12/20/2023] [Indexed: 04/19/2024] Open
Abstract
Metabolic syndrome (MetS) prevalence has augmented globally during recent decades. Over the past years, the consumption of ultra-processed foods (UPFs) has grown significantly worldwide. So, the present research investigated the association between UPFs and MetS in an Iranian sample. This cross-sectional research was conducted on people (n = 8841) in the Fasa cohort study, Fars province, Iran. The participants' dietary consumption over a year, UPF consumption, and MetS diagnosis were evaluated through a 125-item modified food frequency questionnaire, the NOVA food group classification, and the Adult Treatment Panel III of the National Cholesterol Education Program, respectively. The association between the quartiles (Q) of UPF intake and the odds of MetS was estimated using the backward LR method of multivariate analysis. In the multivariate model, after adjusting potential confounders, the association between UPF intake and the odds of MetS was significant (Q4: odds ratio (OR = 3.27; 95% confidence interval (CI): 2.76-3.89). Also, the odds of increasing triglycerides (TG), blood pressure, and fasting blood sugar (FBS) and decreasing high-density lipoprotein cholesterol (HDL-C) were significantly higher in the last quartile compared to the first quartile of UPFs (TG: OR = 1.71; 95% CI: 1.49-1.97, blood pressure: OR = 1.53; 95% CI: 1.30-1.79, FBS: OR = 1.30; 95% CI: 1.10-1.54, and HDL-C: OR = 1.22; 95% CI: 1.08-1.39). The current research found a relationship between UPF intake and MetS and its components, indicating a diet-containing UPFs can be related to the occurrence of noncommunicable diseases.
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Affiliation(s)
- Sanaz Mehrabani
- Health Policy Research Center, Institute of HealthShiraz University of Medical SciencesShirazIran
- Department of Clinical Nutrition, School of Nutrition and Food ScienceIsfahan University of Medical SciencesIsfahanIran
| | - Niloofar Shoaei
- Department of Community Nutrition, School of Nutrition and Food Science, Food Security Research CenterIsfahan University of Medical SciencesIsfahanIran
| | - Zainab Shateri
- Department of Nutrition and Biochemistry, Faculty of MedicineIlam University of Medical SciencesIlamIran
| | - Moein Askarpour
- Department of Clinical Nutrition, School of Nutritional Sciences and DieteticsShiraz University of Medical SciencesShirazIran
- Students' Research Committee, School of Nutrition and Food ScienceShiraz University of Medical SciencesShirazIran
| | - Mehran Nouri
- Health Policy Research Center, Institute of HealthShiraz University of Medical SciencesShirazIran
- Students' Research Committee, School of Nutrition and Food ScienceShiraz University of Medical SciencesShirazIran
- Department of Community Nutrition, School of Nutrition and Food SciencesShiraz University of Medical SciencesShirazIran
| | - Parisa Keshani
- Health Policy Research Center, Institute of HealthShiraz University of Medical SciencesShirazIran
| | - Behnam Honarvar
- Health Policy Research Center, Institute of HealthShiraz University of Medical SciencesShirazIran
| | - Reza Homayounfar
- National Nutrition and Food Technology Research InstituteShahid Beheshti University of Medical SciencesTehranIran
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Nees S, Lutsiv T, Thompson HJ. Ultra-Processed Foods-Dietary Foe or Potential Ally? Nutrients 2024; 16:1013. [PMID: 38613046 PMCID: PMC11013700 DOI: 10.3390/nu16071013] [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: 02/09/2024] [Revised: 03/22/2024] [Accepted: 03/28/2024] [Indexed: 04/14/2024] Open
Abstract
The prevalence of non-communicable diseases (NCDs) has steadily increased in the United States. Health experts attribute the increasing prevalence of NCDs, in part, to the consumption of ultra-processed foods (UPFs) based on epidemiological observations. However, no definitive evidence of causality has been established. Consequently, there is an ongoing debate over whether adverse health outcomes may be due to the low nutrient density per kilocalorie, the processing techniques used during the production of UPFs, taste preference-driven overconsumption of calories, or unidentified factors. Recognizing that "the science is not settled," we propose an investigative process in this narrative review to move the field beyond current controversies and potentially identify the basis of causality. Since many consumers depend on UPFs due to their shelf stability, affordability, availability, ease of use, and safety from pathogens, we also suggest a paradigm for guiding both the formulation of UPFs by food designers and the selection of UPFs by consumers.
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Affiliation(s)
- Sabrina Nees
- Graduate Program in Horticulture and Human Health, Colorado State University, Fort Collins, CO 80523, USA;
| | - Tymofiy Lutsiv
- Cancer Prevention Laboratory, Colorado State University, Fort Collins, CO 80523, USA;
- Graduate Program in Cell and Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA
| | - Henry J. Thompson
- Graduate Program in Horticulture and Human Health, Colorado State University, Fort Collins, CO 80523, USA;
- Cancer Prevention Laboratory, Colorado State University, Fort Collins, CO 80523, USA;
- Graduate Program in Cell and Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA
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Torres-Collado L, Rychter A, González-Palacios S, Compañ-Gabucio LM, Oncina-Cánovas A, García de la Hera M, Vioque J. A high consumption of ultra-processed foods is associated with higher total mortality in an adult Mediterranean population. Clin Nutr 2024; 43:739-746. [PMID: 38320465 DOI: 10.1016/j.clnu.2024.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 01/11/2024] [Accepted: 01/15/2024] [Indexed: 02/08/2024]
Abstract
BACKGROUND & AIMS The consumption of ultra-processed foods (UPF) has been associated with higher all-cause and cardiovascular disease (CVD) mortality, although this association has not been sufficiently investigated in Mediterranean populations. We aimed to evaluate the association between UPF consumption and all-cause, CVD and cancer mortality in an adult population in Spain. METHODS We analysed data from 1,538 participants aged 20 years and above in the Valencia Nutrition Survey in 1995. Diet was assessed at baseline using a validated food frequency questionnaire and the consumption of UPF was calculated using the NOVA system. Information on socio-demographic characteristics, lifestyles, and presence of diseases was also collected at baseline. Cause of death was ascertained during an 18-year follow-up period. We used Cox regression and competing risk models as proposed by Fine and Gray's to estimate adjusted hazard ratios (HR) and 95 % confidence intervals (95 %CI). RESULTS After 18 years of follow-up, we documented 312 deaths (36.5 % of CVD and 25.6 % of cancer). Compared with participants in the lowest tertile of UPF consumption, those in the highest tertile showed 40 % higher risk of all-cause mortality, HR 1.40 (95 %CI: 1.04-1.90), and evidence of a higher CVD mortality, HR 1.39 (95 %CI: 0.80-2.41) and of cancer mortality, HR 1.53 (95 %CI: 0.83-2.82). CONCLUSIONS This study suggests that a high UPF consumption is associated with a higher all-cause mortality in a Mediterranean population after a long follow-up period. Considering the increase in UPF consumption and their detrimental health effects on mortality, these results should be confirmed by other studies in other populations.
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Affiliation(s)
- Laura Torres-Collado
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Anna Rychter
- Department of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland; Doctoral School, Poznan University of Medical Sciences, Poznan, Poland
| | - Sandra González-Palacios
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Laura María Compañ-Gabucio
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Alejandro Oncina-Cánovas
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Manoli García de la Hera
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain; Unidad de Epidemiología de la Nutrición, Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), Alicante, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
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Grinshpan LS, Eilat-Adar S, Ivancovsky-Wajcman D, Kariv R, Gillon-Keren M, Zelber-Sagi S. Ultra-processed food consumption and non-alcoholic fatty liver disease, metabolic syndrome and insulin resistance: A systematic review. JHEP Rep 2024; 6:100964. [PMID: 38234408 PMCID: PMC10792654 DOI: 10.1016/j.jhepr.2023.100964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/12/2023] [Accepted: 10/31/2023] [Indexed: 01/19/2024] Open
Abstract
Background High ultra-processed food (UPF) consumption is associated with the development of various diet-related non-communicable diseases, especially obesity and type 2 diabetes. The present study aimed to systematically review the association between UPF consumption and non-alcoholic fatty liver disease (NAFLD) and its leading risk factors; metabolic syndrome (MetS) and insulin resistance (IR). Methods A comprehensive search was conducted in PubMed, Scopus, Embase, Web of Science, CINAHL, and Cochrane (March 2023), and references of the identified articles were checked. The search keywords were defined through an exploratory investigation in addition to MeSH and similarly controlled vocabulary thesauruses. Observational and interventional studies were included. Studies that focused only on specific groups of processed foods or overlapping dietary patterns were excluded. The quality assessment was conducted using the Joanna Briggs Institute's critical appraisal tools for observational studies and Cochrane's risk of bias 2 tool for randomized-control trials. A narrative synthesis was employed to report the results. Results Fifteen studies were included, with a total of 52,885 participants, one randomized-controlled trial, and fourteen observational studies (nine cross-sectional and five prospective). The review has shown a significant association between UPF consumption and NAFLD in three studies out of six, MetS in five out of eight, and IR in one out of three. All large-scale prospective cohorts that studied NAFLD or MetS outcomes demonstrated a positive association. In contrast, studies that did not demonstrate significant associations were mostly cross-sectional and small. The evidence for an association with IR was insufficient and conflicting. Conclusion The included studies are few, observational, and based upon self-reported dietary assessment tools. However, current evidence indicates that UPF is not only associated with obesity and type 2 diabetes but may also be a risk factor for NAFLD and MetS. UPF is a worldwide concern deserving further longitudinal research. Impact and implications Overconsumption of ultra-processed food (UPF) may lead to the development of obesity and type 2 diabetes, but the association with non-alcoholic fatty liver disease (NAFLD) is not well established. The present systematic review shows that UPF may be associated with NAFLD, although more large prospective studies are needed. These findings emphasize the importance of minimizing the consumption of UPF to prevent NAFLD and other metabolic diseases among the general adult population. This systematic review and further prospective studies, epidemiological or interventional, can help physicians provide patients with evidence-based nutritional recommendations and will support policymakers in restricting the marketing of UPF as well as promoting affordable, healthy, and minimally processed foods.
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Affiliation(s)
- Laura Sol Grinshpan
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
- Department of Gastroenterology Tel-Aviv Medical Center, Tel-Aviv, Israel
| | | | - Dana Ivancovsky-Wajcman
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
- Department of Gastroenterology Tel-Aviv Medical Center, Tel-Aviv, Israel
| | - Revital Kariv
- Department of Gastroenterology Tel-Aviv Medical Center, Tel-Aviv, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Michal Gillon-Keren
- Institute of Endocrinology and Diabetes, Schneider Children’s Medical Center, Petah Tikva, Israel
- Faculty of Sciences, Kibbutzim College of Education Technology and the Arts, Tel-Aviv, Israel
| | - Shira Zelber-Sagi
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
- Department of Gastroenterology Tel-Aviv Medical Center, Tel-Aviv, Israel
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10
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Zhao L, Clay-Gilmour A, Zhang J, Zhang X, Steck SE. Higher ultra-processed food intake is associated with adverse liver outcomes: a prospective cohort study of UK Biobank participants. Am J Clin Nutr 2024; 119:49-57. [PMID: 37871746 DOI: 10.1016/j.ajcnut.2023.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/11/2023] [Accepted: 10/18/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Ultra-processed food (UPF) intake has been positively associated with obesity and diabetes. The relationship between UPF intake and liver health has been scarcely studied. OBJECTIVES We aimed to evaluate the association of UPF intake with risk of adverse liver outcomes including nonalcoholic fatty liver disease (NAFLD), liver fibrosis/cirrhosis, liver cancer, severe liver disease, and serum biomarkers of liver health. METHODS A total of 173,889 participants aged 40 to 69 y from the UK Biobank were included. UPF intake was defined using 24-h dietary recalls and NOVA classification. Liver outcome data were obtained from cancer registry, in-hospital records, and death registries. Serum biomarkers were measured at baseline. We used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between UPF and adverse liver outcomes adjusting for demographics, lifestyle factors, body mass index, and diabetes. We used multinomial logistic regression to evaluate associations between UPF and liver function biomarkers. RESULTS After a median follow-up of 8.9 y, we documented 1108 NAFLD, 350 liver fibrosis/cirrhosis, 134 liver cancer, and 550 severe liver disease cases. Higher UPF intake was associated with increased risk of NAFLD (HRQuartile 4 vs. Quartile 1: 1.43; 95% CI: 1.21, 1.70; Ptrend < 0.001), liver fibrosis/cirrhosis (HR: 1.18; 95% CI: 0.87, 1.59; Ptrend = 0.009), and severe liver disease (HR: 1.50; 95% CI: 1.19, 1.90; Ptrend < 0.001) but not with liver cancer (HR: 1.00; 95% CI: 0.63, 1.58; Ptrend = 0.88). Higher UPF intake was associated with elevated levels of C-reactive protein, alkaline phosphatase, aspartate aminotransferase, γ-glutamyltransferase, and triglycerides and lower cholesterols (all Ptrend < 0.001). CONCLUSIONS Higher UPF intake is associated with an increased risk of NAFLD, liver fibrosis and cirrhosis, and severe liver disease and adverse levels of multiple clinical biomarkers, suggesting the potential importance of reducing UPF intake to improve liver health.
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Affiliation(s)
- Longgang Zhao
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States; Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Alyssa Clay-Gilmour
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Jiajia Zhang
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Xuehong Zhang
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Susan E Steck
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
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Habibi N, Leemaqz S, Louie JCY, Wycherley TP, Grieger JA. Dietary Strategies to Reduce Triglycerides in Women of Reproductive Age: A Simulation Modelling Study. Nutrients 2023; 15:5137. [PMID: 38140396 PMCID: PMC10745529 DOI: 10.3390/nu15245137] [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: 11/15/2023] [Revised: 12/15/2023] [Accepted: 12/16/2023] [Indexed: 12/24/2023] Open
Abstract
Many women of reproductive age have poor diet quality and are at higher risk of chronic diseases such as diabetes. Triglycerides are a critical risk factor for chronic diseases, and although they can be influenced by diet, there are minimal dietary intervention studies identifying key foods/food groups that reduce triglycerides. We performed data simulation modelling to estimate the potential reductions in fasting triglycerides that could be achieved by different dietary strategies in reproductive age women. The model was created using data from the 2011-2013 Australian Health Survey and incorporated various factors such as demographics, nutrient intake, and plasma biomarkers. Multiple linear regression analysis was conducted to estimate triglyceride levels, considering nutrient intake and pre-determined covariates. Dietary scenarios were developed, reducing the consumption of processed/ultra-processed foods, while increasing the intake of minimally processed foods like fruits, vegetables, fish, and nuts. A total of 606 women were included. Reducing processed foods by 50% plus increasing intakes of fruits (75-225 g/day), vegetables (75-225 g/day), or nuts (10-40 g/day) decreased triglycerides by up to 4.3%. Additionally, incorporating 80 g/day of omega 3 fish (>800 mg long-chain omega 3/100 g) decreased triglycerides by 8.2%. The clinical relevance of lowering triglycerides for cardiometabolic disease management should be tested in dietary intervention studies in women.
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Affiliation(s)
- Nahal Habibi
- Robinson Research Institute, The University of Adelaide, Adelaide 5005, Australia; (N.H.)
- Adelaide Medical School, The University of Adelaide, Adelaide 5005, Australia
| | - Shalem Leemaqz
- Robinson Research Institute, The University of Adelaide, Adelaide 5005, Australia; (N.H.)
- Adelaide Medical School, The University of Adelaide, Adelaide 5005, Australia
| | - Jimmy Chun Yu Louie
- Department of Nursing and Allied Health, School of Health Sciences, Swinburne University of Technology, Melbourne 3122, Australia;
| | - Thomas P. Wycherley
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide 5000, Australia;
| | - Jessica A. Grieger
- Robinson Research Institute, The University of Adelaide, Adelaide 5005, Australia; (N.H.)
- Adelaide Medical School, The University of Adelaide, Adelaide 5005, Australia
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12
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Hajmir MM, Shiraseb F, Hosseininasab D, Aali Y, Hosseini S, Mirzaei K. The mediatory role of inflammatory markers on the relationship between the NOVA classification system and obesity phenotypes among obese and overweight adult women: a cross-sectional study. Front Nutr 2023; 10:1226162. [PMID: 38162517 PMCID: PMC10754978 DOI: 10.3389/fnut.2023.1226162] [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: 05/27/2023] [Accepted: 11/21/2023] [Indexed: 01/03/2024] Open
Abstract
Background Diet and inflammation both play important roles in the occurrence of obesity. We aimed to investigate the role of inflammation in the development of both metabolically healthy obese (MHO) and metabolically unhealthy obese (MUHO) individuals. Methods This cross-sectional study included 221 overweight and obese women aged 18-56 years. The study assessed the metabolic health phenotypes of the participants using the Karelis criterion score. Additionally, dietary intakes were evaluated using a 147-item semi-quantitative questionnaire and the NOVA classification system (comprising 37 food groups and beverages). The study also collected and analyzed the blood parameters, as well as biochemical and anthropometric indices, for all participants. Results Among the women included in the study, 22.9% had MHO phenotypes but 77.1% had MUHO phenotypes. A significant association between the third quartile of the NOVA classification system and the increased likelihood of having the MUHO phenotype was observed (OR = 1.40, 95% CI = 1.09-4.92, p = 0.04). Regarding the potential role of inflammatory markers, high-sensitivity C-reactive protein (hs-CRP) (p = 0.84), transforming growth factor-β (TGF-β) (p = 0.50), monocyte chemoattractant protein-1 (MCP-1) (p = 0.49), plasminogen activator inhibitor-1 (PAI-1) (p = 0.97), and homeostatic model assessment for insulin resistance (HOMA-IR) (p = 0.92) were found to be mediators. Conclusion We observed a significant positive association between ultra-processed food (UPF) consumption and the MUHO phenotype in overweight and obese women. This association appeared to be mediated by some inflammatory markers, such as hs-CRP, TGF-β, MCP-1, PAI-1, and HOMA-IR. Additional studies are needed to validate these findings.
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Affiliation(s)
- Mahya Mehri Hajmir
- Students’ Scientific Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Farideh Shiraseb
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Dorsa Hosseininasab
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Yasaman Aali
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Shabnam Hosseini
- School of Human Nutrition, McGill University, Quebec, QC, Canada
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
- Food Microbiology Research Center, Tehran University of Medical Sciences, Tehran, Iran
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13
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Olstad DL, Nejatinamini S, Blanchet R, Moubarac JC, Polsky J, Vanderlee L, Livingstone KM, Hosseini Pozveh S. Protecting traditional cultural food practices: Trends in diet quality and intake of ultra-processed foods by Indigenous status and race/ethnicity among a nationally representative sample of adults in Canada. SSM Popul Health 2023; 24:101496. [PMID: 37701069 PMCID: PMC10493595 DOI: 10.1016/j.ssmph.2023.101496] [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: 06/20/2023] [Revised: 07/29/2023] [Accepted: 08/20/2023] [Indexed: 09/14/2023] Open
Abstract
Background The traditional cultural food practices of Indigenous people and adults from racial/ethnic minority groups may be eroded in the current food system where nutrient-poor and ultra-processed foods (UPF) are the most affordable and normative options, and where experiences of racism may promote unhealthy dietary patterns. We quantified absolute and relative gaps in diet quality and UPF intake of a nationally representative sample of adults in Canada by Indigenous status and race/ethnicity, and trends between 2004 and 2015. Methods Adults (≥18 years) in the Canadian Community Health Survey-Nutrition self-reported Indigenous status and race/ethnicity and completed a 24-h dietary recall in 2004 (n = 20,880) or 2015 (n = 13,970) to calculate Healthy Eating Index-2015 (HEI-2015) scores from 0 to 100 and proportion of energy from UPF. Absolute and relative dietary gaps were quantified for Indigenous people and six racial/ethnic minority groups relative to White adults and trends between 2004 and 2015. Results Adults from all six racial/ethnic minority groups had higher mean HEI-2015 scores (58.7-61.9) than White (56.3) and Indigenous adults (51.9), and lower mean UPF intake (31.0%-41.0%) than White (45.9%) and Indigenous adults (51.9%) in 2015. As a result, absolute gaps in diet quality were positive and gaps in UPF intake were negative among racial/ethnic minority groups-indicating more favourable intakes-while the reverse was found among Indigenous adults. Relative dietary gaps were small. Absolute and relative dietary gaps remained largely stable. Conclusions Adults from six racial/ethnic minority groups had higher diet quality and lower UPF intake, whereas Indigenous adults had poorer diet quality and higher UPF intake compared to White adults between 2004 and 2015. Absolute and relative dietary gaps remained largely stable. Findings suggest racial/ethnic minority groups may have retained some healthful aspects of their traditional cultural food practices while highlighting persistent dietary inequities that affect Canada's Indigenous people.
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Affiliation(s)
- Dana Lee Olstad
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada
| | - Sara Nejatinamini
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada
| | - Rosanne Blanchet
- Département de Médecine Sociale et Préventive, École de Santé Publique, Université de Montréal, 7101 Avenue du Parc, 3e étage, Montréal, Québec, H3N 1X9, Canada
| | - Jean-Claude Moubarac
- Département de Nutrition, Faculté de Médecine, Université de Montréal, Pavillon Liliane de Stewart, Montréal, Québec, H3T 1A8, Canada
| | - Jane Polsky
- Health Analysis Division, Statistics Canada, 150 Tunney's Pasture Driveway, Ottawa, Ontario, K1A 0T6, Canada
| | - Lana Vanderlee
- École de Nutrition, Université Laval, Québec, Québec, G1V 0A6, Canada
| | - Katherine M. Livingstone
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, 1 Gheringhap St, Geelong, Victoria, 3220, Australia
| | - Seyed Hosseini Pozveh
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada
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14
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Visioli F, Marangoni F, Fogliano V, Del Rio D, Martinez JA, Kuhnle G, Buttriss J, Da Costa Ribeiro H, Bier D, Poli A. The ultra-processed foods hypothesis: a product processed well beyond the basic ingredients in the package. Nutr Res Rev 2023; 36:340-350. [PMID: 35730561 DOI: 10.1017/s0954422422000117] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The NOVA classification of food items has become increasingly popular and is being used in several observational studies as well as in nutritional guidelines and recommendations. We propose that there is a need for this classification and its use in the formulation of public health policies to be critically discussed and re-appraised. The terms 'processing' and 'ultra-processing', which are crucial to the NOVA classification, are ill-defined, as no scientific, measurable or precise reference parameters exist for them. Likewise, the theoretical grounds of the NOVA classification are unclear and inaccurate. Overall, the NOVA classification conflicts with the classic, evidence-based evaluation of foods based on composition and portion size because NOVA postulates that the food itself (or how much of it is eaten) is unimportant, but rather that dietary effects are due to how the food is produced. We contend that the NOVA system suffers from a lack of biological plausibility so the assertion that ultra-processed foods are intrinsically unhealthful is largely unproven, and needs further examination and elaboration.
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Affiliation(s)
- Francesco Visioli
- Department of Molecular Medicine, University of Padova, Padova, Italy
- IMDEA-Food, CEI UAM+CSIC, Madrid, Spain
| | | | - Vincenzo Fogliano
- Food Quality and Design Group, Wageningen University and Research, Wageningen, The Netherlands
| | - Daniele Del Rio
- Department of Food and Drugs, Human Nutrition Unit, University of Parma, Parma, Italy
| | | | - Gunter Kuhnle
- Department of Food and Nutritional Sciences, University of Reading, UK
| | | | - Hugo Da Costa Ribeiro
- Department of Pediatrics, Federal University of Bahia School of Medicine, Salvador, Bahia, Brazil
| | - Dennis Bier
- Department of Pediatrics, Children's Nutrition Research Center, Baylor College of Medicine, Houston, USA
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15
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Nouri M, Davies IG, Webb RJ, Mazidi M, Makhtoomi M, Rezaianzadeh A, Johari MG, Faghih S. The association between ultra-processed foods and conventional markers of cardiovascular risk in an adult Iranian population. Nutr Metab Cardiovasc Dis 2023; 33:1951-1959. [PMID: 37543517 DOI: 10.1016/j.numecd.2023.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 06/08/2023] [Accepted: 06/12/2023] [Indexed: 08/07/2023]
Abstract
BACKGROUND AND AIMS According to the NOVA classification system, ultra-processed foods result from extensive industrial processing and use ingredients derived from food and non-food products, which can negatively impact on cardiovascular disease risk factors. Despite this, few studies have investigated UPFs in Middle Eastern populations regardless of high consumption in this region. METHODS AND RESULTS This cross-sectional study was conducted on data from the Prospective Epidemiological Research Studies in Iran Kharemeh cohort (n = 6611). Food frequency questionnaires were assessed and the ratio of total UPFs energy/total energy intake was calculated. Data was categorized into tertiles of UPF consumption using the NOVA classification system. Kruskal-Wallis tests were used to assess differences in nutrient and food intakes between tertiles and logistic regression analysis was applied to assess the associations between UPFs and CVD risk factors. After adjustment for potential confounders the logistic regression analysis revealed significant positive relationships between intakes of UPFs and waist circumference (WC) (T2: OR; 1.34, 95% CI; 1.13-1.60 - T3: OR; 1.41, 95% CI; 1.18-1.69, P ˂0.001), low-density lipoprotein cholesterol (LDL-C) (T2: OR; 1.20, 95% CI; 1.05-1.37 - T3: OR; 1.27, 95% CI; 1.11-1.45, P ˂0.001), non-high-density lipoprotein cholesterol (non-HDL) (T2: OR; 1.21, 95% CI; 1.07-1.37 - T3: OR; 1.24, 95% CI; 1.10-1.41, P ˂0.001) and LDL-C to HDL-C ratio (T2: OR; 1.15, 95% CI; 1.02-1.31 - T3: OR; 1.21, 95% CI; 1.07-1.38, P = 0.002). CONCLUSION The consumption of UPFs was positively associated with WC and atherogenic blood lipids. However, increased intakes of fiber and unsaturated fats were also found in those consuming more UPFs, which was not expected. These findings offer insights into an understudied population and warrant further research.
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Affiliation(s)
- Mehran Nouri
- Department of Community Nutrition, School of Nutrition and Food Science, Shiraz University of Medical Sciences, Shiraz, Iran; Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran; Students' Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ian G Davies
- Research Institute of Sport and Exercise Science, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | - Richard J Webb
- School of Health and Sport Sciences, Liverpool Hope University, Taggart Avenue, Liverpool L16 9JD, UK
| | - Mohsen Mazidi
- Nuffield Department of Population Health, Richard Doll Building, Old Road Campus, University of Oxford, Oxford OX3 7LF, UK
| | - Maede Makhtoomi
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran; Students' Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Abbas Rezaianzadeh
- Department of Epidemiology, School of Health and Nutrition, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Shiva Faghih
- Department of Community Nutrition, School of Nutrition and Food Science, Shiraz University of Medical Sciences, Shiraz, Iran; Nutrition Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
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16
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Shinozaki N, Murakami K, Asakura K, Masayasu S, Sasaki S. Consumption of highly processed foods in relation to overall diet quality among Japanese adults: a nationwide study. Public Health Nutr 2023; 26:1784-1797. [PMID: 37092752 PMCID: PMC10478055 DOI: 10.1017/s1368980023000721] [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: 07/19/2022] [Revised: 12/23/2022] [Accepted: 04/01/2023] [Indexed: 04/25/2023]
Abstract
OBJECTIVE To (i) examine the consumption of highly processed foods (HPF) in relation to diet quality among Japanese adults and (ii) compare the results when dishes prepared away home are disaggregated into food ingredients before classification by processing levels and the results when they are not. DESIGN Cross-sectional analysis using 4-day dietary record data. Foods were categorised by level of processing using the framework developed by the University of North Carolina at Chapel Hill. Specifically, dishes prepared away from home were classified at both the food level (classified after disaggregation into ingredients) and dish level (classified without disaggregation). Diet quality was assessed using the Healthy Eating Index-2015 and Nutrient-Rich Food Index 9·3. SETTING Twenty areas in Japan. PARTICIPANTS Adults aged 20-69 years (n 388). RESULTS Energy contribution of HPF was higher when dishes prepared away from home were classified at dish level than food level (48·3 % v. 32·9 %, P < 0·0001). Regardless of the classification method, cereals and starchy foods were the top food groups contributing to total energy intake from HPF. After adjusting for potential confounders, participants in higher tertiles of the energy contribution of HPF had lower total scores for Healthy Eating Index-2015 and Nutrient-Rich Food Index 9·3 (P for trend ≤ 0·007 for all), irrespective of the food- or dish-level classification. CONCLUSIONS HPF accounted for at least one-third of energy intake of Japanese adults. Regardless of the classification methods for dishes prepared away from home, higher consumption of HPF was associated with lower diet quality.
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Affiliation(s)
- Nana Shinozaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo113-0033, Japan
| | - Kentaro Murakami
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo113-0033, Japan
| | - Keiko Asakura
- Department of Environmental and Occupational Health, School of Medicine, Toho University, Ota-ku, Tokyo, Japan
| | | | - Satoshi Sasaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo113-0033, Japan
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Abstract
Food-based dietary guidelines have been the basis of public health recommendations for over half a century, but more recently, there has been a trend to classify the health properties of food not by its nutrient composition, but by the degree to which it has been processed. This concept has been supported by many association studies, narrative reviews and the findings from one randomised controlled feeding trial, which demonstrated the sustained effect of ultra-processed diets on increasing both energy intake and body weight. This has led to widespread speculation as to specific features of ultra-processed foods that promote increased energy intakes. Rising interest in the ultra-processed topic has led to proposals to include guidance and restrictions on the consumption of processed foods in national dietary guidelines, with some countries encouraging consumers to avoid highly processed foods completely, and only choose minimally processed foods. However, there remains a lack of consensus on the role of processed foods in human health when faced with the challenges of securing the food supply for a growing global population, that is, healthy, affordable and sustainable. There has also been criticism of the subjective nature of definitions used to differentiate foods by their degree of processing, and there is currently a lack of empirical data to support a clear mechanism by which highly processed foods promote greater energy intakes. Recommendations to avoid all highly processed foods are potentially harmful if they remove affordable sources of nutrients and will be impractical for most when an estimated two-thirds of current energy purchased are from processed or ultra-processed foods. The current review highlights some considerations when interpreting the dietary association studies that link processed food intake to health and offers a critique on some of the mechanisms proposed to explain the link between ultra-processed food and poor health. Recent research suggests a combination of higher energy density and faster meal eating rates are likely to influence meal size and energy intakes from processed foods and offers new perspectives on how to manage this in the future. In going beyond the ultra-processed debate, the aim is to summarise some important considerations when interpreting existing data and identify the important gaps for future research on the role of processed food in health.
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Affiliation(s)
- Ciarán G Forde
- Sensory Science and Eating Behaviour, Division of Human Nutrition and Health, Wageningen University and Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands
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18
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O'Connor LE, Hall KD, Herrick KA, Reedy J, Chung ST, Stagliano M, Courville AB, Sinha R, Freedman ND, Hong HG, Albert PS, Loftfield E. Metabolomic Profiling of an Ultraprocessed Dietary Pattern in a Domiciled Randomized Controlled Crossover Feeding Trial. J Nutr 2023; 153:2181-2192. [PMID: 37276937 PMCID: PMC10447619 DOI: 10.1016/j.tjnut.2023.06.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/30/2023] [Accepted: 06/02/2023] [Indexed: 06/07/2023] Open
Abstract
BACKGROUND Objective markers of ultraprocessed foods (UPF) may improve the assessment of UPF intake and provide insight into how UPF influences health. OBJECTIVES To identify metabolites that differed between dietary patterns (DPs) high in or void of UPF according to Nova classification. METHODS In a randomized, crossover, controlled-feeding trial (clinicaltrials.govNCT03407053), 20 domiciled healthy participants (mean ± standard deviation: age 31 ± 7 y, body mass index [kg/m2] 22 ± 11.6) consumed ad libitum a UPF-DP (80% UPF) and an unprocessed DP (UN-DP; 0% UPF) for 2 wk each. Metabolites were measured using liquid chromatography with tandem mass spectrometry in ethylenediaminetetraacetic acid plasma, collected at week 2 and 24-h, and spot urine, collected at weeks 1 and 2, of each DP. Linear mixed models, adjusted for energy intake, were used to identify metabolites that differed between DPs. RESULTS After multiple comparisons correction, 257 out of 993 plasma and 606 out of 1279 24-h urine metabolites differed between UPF-DP and UN-DP. Overall, 21 known and 9 unknown metabolites differed between DPs across all time points and biospecimen types. Six metabolites were higher (4-hydroxy-L-glutamic acid, N-acetylaminooctanoic acid, 2-methoxyhydroquinone sulfate, 4-ethylphenylsulfate, 4-vinylphenol sulfate, and acesulfame) and 14 were lower following the UPF-DP; pimelic acid, was lower in plasma but higher in urine following the UPF-DP. CONCLUSIONS Consuming a DP high in, compared with 1 void of, UPF has a measurable impact on the short-term human metabolome. Observed differential metabolites could serve as candidate biomarkers of UPF intake or metabolic response in larger samples with varying UPF-DPs. This trial was registered at clinicaltrials.gov as NCT03407053 and NCT03878108.
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Affiliation(s)
- Lauren E O'Connor
- Food Components and Health Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Service, USDA, Beltsville, MD, USA; Division of Cancer Control and Population Sciences, Risk Factor Assessment Branch, NCI, Bethesda, MD, USA
| | - Kevin D Hall
- Laboratory of Biological Modeling, NIDDK, Bethesda, MD, USA
| | - Kirsten A Herrick
- Division of Cancer Control and Population Sciences, Risk Factor Assessment Branch, NCI, Bethesda, MD, USA
| | - Jill Reedy
- Division of Cancer Control and Population Sciences, Risk Factor Assessment Branch, NCI, Bethesda, MD, USA
| | - Stephanie T Chung
- Diabetes, Endocrinology, and Obesity Branch, NIDDK, Bethesda, MD, USA
| | - Michael Stagliano
- Diabetes, Endocrinology, and Obesity Branch, NIDDK, Bethesda, MD, USA
| | - Amber B Courville
- Diabetes, Endocrinology, and Obesity Branch, NIDDK, Bethesda, MD, USA
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, NCI, Bethesda, MD, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, NCI, Bethesda, MD, USA
| | - Hyokyoung G Hong
- Division of Cancer Epidemiology and Genetics, Biostatistics Branch, NCI, Bethesda, MD, USA
| | - Paul S Albert
- Division of Cancer Epidemiology and Genetics, Biostatistics Branch, NCI, Bethesda, MD, USA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, NCI, Bethesda, MD, USA.
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19
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Gibney MJ. Ultra-processed foods in public health nutrition: the unanswered questions. Public Health Nutr 2023; 26:1380-1383. [PMID: 36514812 PMCID: PMC10346070 DOI: 10.1017/s1368980022002105] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 07/29/2022] [Accepted: 08/02/2022] [Indexed: 12/15/2022]
Abstract
There is a growing interest in the study of the degree of food processing and both health and nutritional outcomes. To that end, several definitions of the degree of processing have been proposed. However, when each of these is used on a common database of nutritional, clinical and anthropometric variables, the observed effect of high intakes of highly processed food, varies considerably.. Moreover, assigning a given food by nutritional experts, to its appropriate level of processing, has been shown to be variable. Thus, the subjective definitions of the degree of food processing and the coding of foods according to these classifications is prone to error is prone to error. Another issue that need resolution is the relative importance of the degree of food processing and the formulation of a processed food. Although correlational studies linking processed food and obesity abound, there is a need for more investigative studies.
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Affiliation(s)
- Michael J Gibney
- Institute of Food and Health, University College Dublin, Belfield, DublinD04 V1W8, Ireland
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20
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Ansari S, Mohammadifard N, Haghighatdoost F, Zarepur E, Mahmoudi S, Nouri F, Nouhi F, Alikhasi H, Sharifianjazi F, Tavamaishvili K, Shirani S, Kazemi T, Azdaki N, Salehi N, Lotfizadeh M, Solati K, Ghaffari S, Javanmardi E, Salari A, Dehghani M, Cheraghi M, Assareh A, Haybar H, Namayandeh SM, Madadi R, Sarrafzadegan N. The relationship between ultra processed food consumption and premature coronary artery disease: Iran premature coronary artery disease study (IPAD). Front Nutr 2023; 10:1145762. [PMID: 37476400 PMCID: PMC10354702 DOI: 10.3389/fnut.2023.1145762] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 03/27/2023] [Indexed: 07/22/2023] Open
Abstract
Background Ultra-processed foods (UPF) consumption may affect the risk of PCAD through affecting cardio metabolic risk factors. This study aimed to evaluate the association between UPFs consumption and premature coronary artery disease (PCAD). Methods A case-control study was conducted on 2,354 Iranian adults (≥ 19 years). Dietary intake was assessed using a validated 110-item food frequency questionnaire (FFQ) and foods were classified based on the NOVA system, which groups all foods according to the nature, extent and purposes of the industrial processes they undergo. PCAD was defined as having an stenosis of at least single coronary artery equal and above 75% or left main coronary of equal or more than 50% in women less than 70 and men less than 60 years, determined by angiography. The odds of PCAD across the tertiles of UPFs consumption were assessed by binary logistic regression. Results After adjustment for potential confounders, participants in the top tertile of UPFs were twice as likely to have PCAD compared with those in the bottom tertile (OR: 2.52; 95% CI: 1.97-3.23). Moreover, those in the highest tertile of the UPFs consumption had more than two times higher risk for having severe PCAD than those in the first tertile (OR: 2.64; 95% CI: 2.16-3.22). In addition, there was a significant upward trend in PCAD risk and PCAD severity as tertiles increased (P-trend < 0.001 for all models). Conclusion Higher consumption of UPFs was related to increased risk of PCAD and higher chance of having severe PCAD in Iranian adults. Although, future cohort studies are needed to confirm the results of this study, these findings indicated the necessity of reducing UPFs intake.
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Affiliation(s)
- Shakila Ansari
- Department of Community Nutrition, Nutrition and Food Security Research Center, School of Nutrition and Food Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Noushin Mohammadifard
- Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Fahimeh Haghighatdoost
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ehsan Zarepur
- Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
- Department of Cardiology, Medicine School, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Shirin Mahmoudi
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Fatemeh Nouri
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Fereidoon Nouhi
- Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
- Iranian Network of Cardiovascular Research (INCVR), Tehran, Iran
| | - Hassan Alikhasi
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | | | - Shahin Shirani
- Department of Cardiology, Tehran University of Medical Science, Dr Ali Shariati Hospital, Tehran, Iran
| | - Tooba Kazemi
- Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran
| | - Nahid Azdaki
- Clinical Research Development Unit, Razi Hospital, Birjand University of Medical Sciences, Birjand, Iran
| | - Nahid Salehi
- Cardiovascular Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Masoud Lotfizadeh
- Social Determinants of Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Kamal Solati
- Department of Psychiatry, Shahrekord University of Medical Science, Shahrekord, Iran
| | - Samad Ghaffari
- Cardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Elmira Javanmardi
- Department of Cardiovascular Medicine, Amiralmomenin Hospital, Maragheh University of Medical Sciences, Maragheh, Iran
| | - Arsalan Salari
- Cardiovascular Diseases Research Center, Department of Cardiology, Heshmat Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Mostafa Dehghani
- Department of Cardiovascular Research Center, Shahid Rahimi Hospital, Lorestan University of Medical Science, Khorramabad, Iran
| | - Mostafa Cheraghi
- Department of Cardiovascular Research Center, Shahid Rahimi Hospital, Lorestan University of Medical Science, Khorramabad, Iran
| | - Ahmadreza Assareh
- Atherosclerosis Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Habib Haybar
- Atherosclerosis Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Seyedeh M. Namayandeh
- Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Science, Yazd, Iran
- Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Reza Madadi
- Zanjan University of Medical Sciences, Zanjan, Iran
| | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
- Faculty of Medicine, School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
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21
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Menichetti F, Leone A. Consumption of Ultra-Processed Foods and Health Harm. Nutrients 2023; 15:2945. [PMID: 37447271 DOI: 10.3390/nu15132945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
In recent decades, research has become increasingly interested in the relationship between diet and health [...].
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Affiliation(s)
- Francesca Menichetti
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
| | - Alessandro Leone
- International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy
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22
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González-Palacios S, Oncina-Cánovas A, García-de-la-Hera M, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Cano-Ibañez N, Tur JA, Martín-Sánchez V, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Bes-Rastrollo M, Atzeni A, Sorli JV, Zomeño MD, Peña-Orihuela PJ, Compañ-Gabucio LM, Barón-López FJ, Zulet MÁ, Konieczna J, Casas RM, Garrido-Garrido EM, Tojal-Sierra L, Gomez-Perez AM, Ruiz-Canela M, Palau A, Saiz C, Pérez-Vega KA, Garcia-Rios A, Torres-Collado L, Basterra-Gortari J, Garcidueñas-Fimbres TE, Malcampo M, Vioque J. Increased ultra-processed food consumption is associated with worsening of cardiometabolic risk factors in adults with metabolic syndrome: Longitudinal analysis from a randomized trial. Atherosclerosis 2023; 377:12-23. [PMID: 37343432 DOI: 10.1016/j.atherosclerosis.2023.05.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/31/2023] [Accepted: 05/31/2023] [Indexed: 06/23/2023]
Abstract
BACKGROUND AND AIMS The association between changes in ultra-processed food (UPF) consumption and cardiometabolic risk (CMR) factors remains understudied. We evaluated the association between changes in UPF consumption over 12 months of follow-up and changes in CMR factors in adults diagnosed with metabolic syndrome. METHODS We analysed data from 5373 adults (aged 55-75 years) participating in the PREDIMED-Plus trial. Diet was evaluated at baseline, 6- and 12-month visits using a validated food frequency questionnaire, and UPF consumption (in grams/day and percentage of total daily dietary intake in grams) was categorized based on NOVA classification. We used mixed-effects linear models with repeated measurements at baseline, 6 and 12 months of follow-up to assess the associations between changes in UPF consumption and changes in CMR factors adjusting for sociodemographic and lifestyles variables. RESULTS In multivariable-adjusted models, when comparing the highest versus the lowest quartile of UPF consumption, positive associations were found for several CMR factors: weight (kg, β = 1.09; 95% confidence interval 0.91 to 1.26); BMI (kg/m2, β = 0.39; 0.33 to 0.46); waist circumference (cm, β = 1.03; 0.81 to 1.26); diastolic blood pressure (mm Hg, β = 0.67; 0.29 to 1.06); fasting blood glucose (mg/dl, β = 1.66; 0.61 to 2.70); HbA1c (%, β = 0.04; 0.01 to 0.07); triglycerides (mg/dl, β = 6.79; 3.66 to 9.91) and triglycerides and glucose index (β = 0.06; 0.04 to 0.08). CONCLUSIONS Higher UPF consumption was associated with adverse evolution in objectively measured CMR factors after 12 months of follow-up in adults with metabolic syndrome. Further research is needed to explore whether these changes persist for longer periods.
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Affiliation(s)
- Sandra González-Palacios
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Alejandro Oncina-Cánovas
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Manuela García-de-la-Hera
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Helmut Schröder
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN research Group, School of Health Sciences, University of Málaga-Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Naomi Cano-Ibañez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín-Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | | | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology, Institut d' Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz. Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Departamento de Ciencias Farmacéuticas y de la Salud, Faculty de Farmacia, Universidad San Pablo-CEU, CEU Universities, 28660, Boadilla del Monte, Spain
| | - Emili Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Maira Bes-Rastrollo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Alessandro Atzeni
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jose V Sorli
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - M Dolors Zomeño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain; Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Patricia J Peña-Orihuela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura M Compañ-Gabucio
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Francisco J Barón-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN research Group, School of Health Sciences, University of Málaga-Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - María Ángeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Rosa M Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Institut de Recerca en Nutrició i Seguretata Alimentaria (INSA-UB). University of Barcelona, Barcelona, Spain
| | | | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Ana M Gomez-Perez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - Antoni Palau
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centre d'Assistència Primària Marià Fortuny, ABS Reus V. Salut Sant Joan de Reus, Reus, Spain
| | - Carmen Saiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Karla A Pérez-Vega
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Laura Torres-Collado
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Javier Basterra-Gortari
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain; Servicio de Endocrinología, Hospital Universitario de Navarra, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Tany E Garcidueñas-Fimbres
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Jesús Vioque
- Unidad de Epidemiología de la Nutrición, Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández, (ISABIAL-UMH), Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain.
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23
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Shinozaki N, Murakami K, Masayasu S, Sasaki S. Highly Processed Food Consumption and Its Association with Anthropometric, Sociodemographic, and Behavioral Characteristics in a Nationwide Sample of 2742 Japanese Adults: An Analysis Based on 8-Day Weighed Dietary Records. Nutrients 2023; 15:1295. [PMID: 36904297 PMCID: PMC10005625 DOI: 10.3390/nu15051295] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/24/2023] [Accepted: 03/03/2023] [Indexed: 03/09/2023] Open
Abstract
This cross-sectional study assessed highly processed food (HPF) consumption and its association with individual characteristics in a nationwide sample of Japanese adults. Eight-day weighed dietary records were obtained from 2742 free-living adults aged 18-79 years across Japan. HPFs were identified based on a classification method developed by researchers at the University of North Carolina at Chapel Hill. The basic characteristics of the participants were assessed using a questionnaire. On average, HPF contributed to 27.9% of daily energy intake. The contribution of HPF to the daily intake of 31 nutrients ranged from 5.7% for vitamin C to 99.8% for alcohol (median, 19.9%). Cereals and starchy foods were the main food groups that contributed to the total energy intake of HPF. Multiple regression analysis showed that the older group (60-79 years) had a lower HPF energy contribution than the younger group (18-39 y) (regression coefficient (β) = -3.55, p < 0.0001). Compared to current smokers, past and never-smokers had lower HPF energy contributions (β = -1.41, p < 0.02; and -4.20, p < 0.0001, respectively). In conclusion, HPFs account for approximately one-third of energy intake in Japan. Younger age and current smoking status should be considered in future intervention strategies to reduce HPF consumption.
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Affiliation(s)
- Nana Shinozaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Kentaro Murakami
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | | | - Satoshi Sasaki
- Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
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24
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Fitzgerald M. It is time to appreciate the value of processed foods. Trends Food Sci Technol 2023. [DOI: 10.1016/j.tifs.2023.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
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25
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Weinstein G, Vered S, Ivancovsky-Wajcman D, Ravona-Springer R, Heymann A, Zelber-Sagi S, Shahar DR, Beeri MS. Consumption of Ultra-Processed Food and Cognitive Decline among Older Adults With Type-2 Diabetes. J Gerontol A Biol Sci Med Sci 2023; 78:134-142. [PMID: 35305016 PMCID: PMC9879751 DOI: 10.1093/gerona/glac070] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Ultra-processed food (UPF) consumption is related to increased morbidity and mortality. However, knowledge on its association with cognitive function is lacking. In this longitudinal study, we examined the associations between UPF intake and cognitive decline in older adults with type-2 diabetes (T2D). METHODS The sample included initially nondemented T2D older adults (≥65 years), from the Israel Diabetes and Cognitive Decline study, who had complete information on nutrition at baseline and at least 3 cognitive assessments (mean follow-up 5.3 ± 1.5 years). Nutritional intake was evaluated by a validated Food-Frequency Questionnaire, and foods were categorized as UPF based on NOVA classification. Percent of calories from UPF were calculated from total caloric consumption in total and specific food groups. Mixed effect models were used to examine the link between UPF intake (top vs bottom quartiles) and change in cognitive function overall and in specific domains, adjusting for potential confounders. RESULTS Of the total sample (N = 568; mean age 71.3 ± 4.5 years, 60% men), 141 consumed >31% kcal from UPF (top quartile). Greater intake of ultra-processed meat was associated with a faster decline in executive functions and global cognition (β = -0.041 ± 0.013; p = .002 and β = -0.026 ± 0.010; p = .011, respectively). Additionally, consumption of ultra-processed oils/spreads was associated with faster decline in executive functions and global cognition (β = -0.037 ± 0.014; p = .006 and β = -0.028 ± 0.010; p = .009, respectively). Total UPF consumption and UPF-derived from dairy products and bread/pastries/starch were not associated with cognitive change. CONCLUSION This study suggests that a high intake of ultra-processed meat and oils/spreads may be associated with accelerated cognitive decline in older individuals with T2D.
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Affiliation(s)
| | - Shiraz Vered
- School of Public Health, University of Haifa, Haifa, Israel
| | - Dana Ivancovsky-Wajcman
- Liver Unit, Department of Gastroenterology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | - Ramit Ravona-Springer
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat-Gan, Israel
- Sackler School of Medicine, Tel-Aviv University, Israel
| | - Anthony Heymann
- Sackler School of Medicine, Tel-Aviv University, Israel
- Maccabi Healthcare Services, Tel-Aviv, Israel
| | - Shira Zelber-Sagi
- School of Public Health, University of Haifa, Haifa, Israel
- Liver Unit, Department of Gastroenterology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | - Danit Rivka Shahar
- Department of Public Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Michal Schnaider Beeri
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat-Gan, Israel
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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26
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Barbosa LB, Vasconcelos NBR, dos Santos EA, dos Santos TR, Ataide-Silva T, Ferreira HDS. Ultra-processed food consumption and metabolic syndrome: a cross-sectional study in Quilombola communities of Alagoas, Brazil. Int J Equity Health 2023; 22:14. [PMID: 36650595 PMCID: PMC9847020 DOI: 10.1186/s12939-022-01816-z] [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: 08/10/2022] [Accepted: 12/22/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The processing of food can cause changes that turn them into risk factors for chronic diseases. A higher degree of food processing is associated with the development of chronic non-communicable diseases (NCDs), including the metabolic syndrome (MetS). The objective of this study was to analyze the relationship between ultra-processed food (UPF) consumption and the prevalence of MetS and its risk factors, focusing on a population group especially subjected to precarious living conditions and food insecurity. METHOD Cross-sectional population-based study with women (19 to 59 years) from Quilombola communities of Alagoas. The socioeconomic, demographic, anthropometric, health status, lifestyle, and food intake (24-h recall) variables were analyzed. The dependent variable was the MetS, defined using the harmonization criteria of the Joint Interim Statement, and its components. The foods consumed were categorized according to the Nova Classification, assuming the highest UPF consumption as risk exposure. The measure of association was the prevalence ratio (PR) and respective 95%CI, calculated by Poisson regression with robust variance. We also analyzed the association with the Nova score of UPF consumption. RESULTS We investigated 895 women (38.9 ± 11.0 years), of whom 48.3% had MetS. On average, 15.9% of the total energy intake came from UPF. Lower Nova scores were associated with a lower prevalence of diabetes and low HDL. Higher UPF consumption was associated with a 30% higher prevalence of hypertension (PR = 1.30; 95%CI: 1.06-1.61). CONCLUSION The highest UPF consumption was positively associated with the prevalence of hypertension, while a lower Nova score was a protective factor against diabetes and low HDL. UPF consumption in Quilombola communities is important but lower than that observed in the Brazilian population in general. It is suggested that public health programs be implemented to promote healthy eating while valuing the existing eating habits and traditions among the remaining Brazilian Quilombola people.
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Affiliation(s)
- Lídia Bezerra Barbosa
- Postgraduate Program in Health Sciences of the Institute of Biological and Health Sciences, Federal University of Alagoas, Campus A. C. Simões, BR 104, km 14, Tabuleiro dos Martins, Maceió, Alagoas 57072-970 Brazil
- Faculty of Nutrition of the Federal University of Alagoas, Campus A. C. Simões, BR 104, km 14, Tabuleiro dos Martins, Maceió, Alagoas 57072-970. Brazil
| | - Nancy Borges Rodrigues Vasconcelos
- Postgraduate Program in Health Sciences of the Institute of Biological and Health Sciences, Federal University of Alagoas, Campus A. C. Simões, BR 104, km 14, Tabuleiro dos Martins, Maceió, Alagoas 57072-970 Brazil
| | - Ewerton Amorim dos Santos
- Faculty of Medicine of the Federal University of Alagoas, Campus A. C. Simões, BR 104, km 14, Tabuleiro dos Martins, Maceió, Alagoas 57072-970. Brazil
| | - Tamara Rodrigues dos Santos
- Postgraduate Program in Health Sciences of the Institute of Biological and Health Sciences, Federal University of Alagoas, Campus A. C. Simões, BR 104, km 14, Tabuleiro dos Martins, Maceió, Alagoas 57072-970 Brazil
| | - Thays Ataide-Silva
- Faculty of Nutrition of the Federal University of Alagoas, Campus A. C. Simões, BR 104, km 14, Tabuleiro dos Martins, Maceió, Alagoas 57072-970. Brazil
| | - Haroldo da Silva Ferreira
- Faculty of Nutrition of the Federal University of Alagoas, Campus A. C. Simões, BR 104, km 14, Tabuleiro dos Martins, Maceió, Alagoas 57072-970. Brazil
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27
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Markey O, Pradeilles R, Goudet S, Griffiths PL, Boxer B, Carroll C, Rousham EK. Unhealthy Food and Beverage Consumption during Childhood and Risk of Cardiometabolic Disease: A Systematic Review of Prospective Cohort Studies. J Nutr 2023; 153:176-189. [PMID: 36913452 PMCID: PMC10127523 DOI: 10.1016/j.tjnut.2022.11.013] [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: 09/05/2022] [Revised: 11/04/2022] [Accepted: 11/15/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Global consumption of unhealthy foods, including ultra-processed foods (UPFs) and sugar-sweetened beverages (SSBs), has increased substantially among pediatric populations. Suboptimal diet during early life can track into adulthood, alongside risk factors for cardiometabolic disease. OBJECTIVE To inform the development of updated WHO guiding principles for complementary feeding of infants and young children, this systematic review sought to examine the association between unhealthy food consumption during childhood and cardiometabolic risk biomarkers. METHODS PubMed (Medline), EMBASE, and Cochrane CENTRAL were systematically searched, with no language restriction, up to 10 March 2022. Inclusion criteria were randomized controlled trials (RCTs), non-RCTs, and longitudinal cohort studies; children aged ≤10.9 y at exposure; studies reporting greater consumption of unhealthy foods and beverages (defined using nutrient- and food-based approaches) than no or low consumption; studies assessing critical nonanthropometric cardiometabolic disease risk outcomes (blood lipid profile, glycemic control, or blood pressure). RESULTS Of 30,021 identified citations, 11 articles from 8 longitudinal cohort studies were included. Six studies focused on exposure to unhealthy foods or UPF, and 4 focused on SSB only. Methodological heterogeneity was too high across studies to meta-analyze effect estimates. A narrative synthesis of quantitative data revealed that exposure to unhealthy foods and beverages, specifically NOVA-defined UPF, in children of preschool age may be associated with a worse blood lipid and blood pressure profile in later childhood (Grading of Recommendations Assessment, Development, and Evaluation [GRADE]: low and very low certainty, respectively). No associations were evident between SSB consumption and blood lipids, glycemic control, or blood pressure (GRADE: all low certainty). CONCLUSIONS No definitive conclusion can be made because of quality of the data. More high-quality studies that purposefully assess the effects of unhealthy food and beverage exposure during childhood on cardiometabolic risk outcomes are needed. This protocol was registered at https://www.crd.york.ac.uk/PROSPERO/ as CRD42020218109.
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Affiliation(s)
- Oonagh Markey
- Centre for Global Health and Human Development, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom.
| | - Rebecca Pradeilles
- Centre for Global Health and Human Development, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Sophie Goudet
- Centre for Global Health and Human Development, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Paula L Griffiths
- Centre for Global Health and Human Development, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Benjamin Boxer
- Centre for Global Health and Human Development, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Christopher Carroll
- School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom
| | - Emily K Rousham
- Centre for Global Health and Human Development, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
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28
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Fajardo VC, Barreto SM, Coelho CG, Haueisen Sander Diniz MDF, Bisi Molina MDC, Pinho Ribeiro AL, Telles RW. Ultra-processed foods: Cross-sectional and longitudinal association with uric acid and hyperuricemia in ELSA-Brasil. Nutr Metab Cardiovasc Dis 2023; 33:75-83. [PMID: 36411223 DOI: 10.1016/j.numecd.2022.09.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 09/16/2022] [Accepted: 09/26/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND AND AIMS Food intake influences uric acid (UA) levels and hyperuricemia (HU), but evidence on the role of ultra-processed foods (UPFs) are scarce. The association between UPFs consumption and (1) HU prevalence and UA levels; (2) HU cumulative incidence; and (3) UA level change over a 4-year period was investigated. METHODS AND RESULTS Cross-sectional and longitudinal analyses were performed using baseline (2008-2010, aged 35-74 years) and second visit (2012-2014) data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Participants with glomerular filtration rate <60 mL/min/1.73 m2, bariatric surgery, implausible caloric intake, and using urate-lowering therapy (ULT) at baseline were excluded (all analyses). Participants with HU at baseline were excluded from longitudinal analyses. UPFs consumption was assessed using a food frequency questionnaire (FFQ) and categorized by the NOVA classification system (100 g/day). HU was defined as UA≥6.8 mg/dL. Linear, logistic, and mixed-effect linear regressions investigated the associations between UPFs consumption and UA/HU, adjusted for covariates. The final samples included 13,923 (cross-sectional) and 10,517 (longitudinal) individuals. The prevalence of HU was 18.7%, and the cumulative incidence was 4.9%. Greater UPFs consumption was associated with a greater prevalence of HU (OR:1.025 95%CI: 1.006; 1.044) and higher UA levels (β:0.024 95%CI: 0.016; 0.032). Every additional consumption of 100 g/day of UPFs raised the 4-year cumulative incidence of HU by 5.6% (95%CI: 1.021; 1.092). However, UPFs were not associated with the pace of UA level changes during the study period. CONCLUSION The present study shows that greater UPFs consumption is associated with another deleterious health consequence: higher UA levels and the risk of having HU.
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Affiliation(s)
- Virgínia Capistrano Fajardo
- Post-graduate Program in Ciências Aplicadas à Saúde do Adulto, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Sandhi Maria Barreto
- Department of Preventive Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Hospital das Clínicas da UFMG-Ebserh, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Carolina Gomes Coelho
- Department of Preventive Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Hospital das Clínicas da UFMG-Ebserh, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Maria de Fátima Haueisen Sander Diniz
- Hospital das Clínicas da UFMG-Ebserh, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Department of Internal Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Antônio Luiz Pinho Ribeiro
- Department of Internal Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Telehealth Center, Hospital das Clínicas da UFMG-Ebserh, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Rosa Weiss Telles
- Department of Internal Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Rheumatology Service, Hospital das Clínicas da UFMG-Ebserh, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
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29
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Gibney MJ. Ultra-processed foods in public health nutrition: the unanswered questions. Br J Nutr 2022; 129:1-4. [PMID: 36514809 PMCID: PMC10197074 DOI: 10.1017/s0007114522002793] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 07/29/2022] [Accepted: 08/02/2022] [Indexed: 12/15/2022]
Abstract
There is a growing interest in the study of the degree of food processing and both health and nutritional outcomes. To that end, several definitions of the degree of processing have been proposed. However, when each of these is used on a common database of nutritional, clinical and anthropometric variables, the observed effect of high intakes of highly processed food, varies considerably.. Moreover, assigning a given food by nutritional experts, to its appropriate level of processing, has been shown to be variable. Thus, the subjective definitions of the degree of food processing and the coding of foods according to these classifications is prone to error is prone to error. Another issue that need resolution is the relative importance of the degree of food processing and the formulation of a processed food. Although correlational studies linking processed food and obesity abound, there is a need for more investigative studies.
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Affiliation(s)
- Michael J. Gibney
- Institute of Food and Health, University College Dublin, Belfield, DublinD04 V1W8, Ireland
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30
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Atzeni A, Martínez MÁ, Babio N, Konstanti P, Tinahones FJ, Vioque J, Corella D, Fitó M, Vidal J, Moreno-Indias I, Pertusa-Martinez S, Álvarez-Sala A, Castañer O, Goday A, Damas-Fuentes M, Belzer C, Martínez-Gonzalez MÁ, Hu FB, Salas-Salvadó J. Association between ultra-processed food consumption and gut microbiota in senior subjects with overweight/obesity and metabolic syndrome. Front Nutr 2022; 9:976547. [PMID: 36299993 PMCID: PMC9589409 DOI: 10.3389/fnut.2022.976547] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 09/21/2022] [Indexed: 12/14/2022] Open
Abstract
The production and consumption of ultra-processed foods (UPF) has increased considerably during the last years worldwide. Collective evidence shows the association between UPF consumption and adverse health outcomes, including inflammatory gastro-intestinal disorders and obesity. The gut microbiota has been suggested as potential mediator of the effects of UPF consumption on metabolism and health. However, few studies have been conducted in order to elucidate these aspects. Therefore, the aim of the present study was to assess the cross-sectional associations between UPF consumption and gut microbiota in a population of senior subjects (n = 645) within the frame of the PREDIMED-Plus trial. Eligible participants were men and women (aged 55-75 years), without documented history of cardiovascular disease at enrollment, with overweight/obesity (body mass index ≤ 27 and <40 kg/m2) and metabolic syndrome. Using the information of food frequency questionnaires, the consumption of UPF, expressed as a percentage of total dietary energy intake in kcal/day, was calculated considering those food items classified in group 4 of NOVA system. Population was categorized according to tertiles of UPF consumption. Taxonomic fecal microbiota information, along with blood biochemical parameters, anthropometric measurements and clinical data were obtained. Bioinformatics analysis was performed to study the association between fecal microbiota composition and UPF consumption. We observed that subjects allocated in the highest tertile of UPF consumption (21.4 ± 5.0 % kcal/day) presented lower adherence to MedDiet (p < 0.001) and higher total energy intake (p < 0.001). The taxonomic analysis of the fecal microbiota revealed a significant (Benjamini-Hochberg adjusted p < 0.2) positive association between specific taxa and tertiles (T) of UPF consumption: Alloprevotella (p = 0.041 vs. T2; p = 0.065 vs. T3), Negativibacillus (p = 0.096 vs. T3), Prevotella (p = 0.116 vs. T3), and Sutterella (p = 0.116 vs. T2). UPF consumption was positively associated with lower adherence to MedDiet and higher total energy intake in senior subjects with overweight obesity and metabolic syndrome. In addition, positive association with specific fecal microbiota taxa related to inflammatory gastro-intestinal diseases and low consumption of fruits and vegetables, was observed.
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Affiliation(s)
- Alessandro Atzeni
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Universitat Rovira i Virgili, Department de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - María Ágeles Martínez
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Universitat Rovira i Virgili, Department de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Nancy Babio
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Universitat Rovira i Virgili, Department de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Prokopis Konstanti
- Laboratory of Microbiology, Wageningen University, Wageningen, Netherlands
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica de Málaga - IBIMA, Hospital Universitario Virgen de la Vic, Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Department of Endocrinology, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Isabel Moreno-Indias
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica de Málaga - IBIMA, Hospital Universitario Virgen de la Vic, Málaga, Spain
| | | | - Andrea Álvarez-Sala
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Albert Goday
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain.,IMIM, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Miguel Damas-Fuentes
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Department of Endocrinology and Nutrition, Instituto de Investigación Biomédica de Málaga - IBIMA, Hospital Universitario Virgen de la Vic, Málaga, Spain
| | - Clara Belzer
- Laboratory of Microbiology, Wageningen University, Wageningen, Netherlands
| | - Miguel Á Martínez-Gonzalez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain.,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Frank B Hu
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States.,Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Jordi Salas-Salvadó
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.,Universitat Rovira i Virgili, Department de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
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31
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Consumption Patterns of Processed Foods in Singapore-A Cross-Sectional Study. Foods 2022; 11:foods11182782. [PMID: 36140910 PMCID: PMC9498269 DOI: 10.3390/foods11182782] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/19/2022] [Accepted: 09/07/2022] [Indexed: 11/16/2022] Open
Abstract
The consumption of processed foods is increasingly widespread and could have an impact on diet quality and health. Understanding the factors influencing people's eating habits is useful for assessing such impact. There are limited data on the consumption patterns of processed foods and associated factors influencing the dietary patterns in Singapore. This cross-sectional study based on a food frequency questionnaire aimed to examine how the consumption of processed foods among 2079 Singapore residents aged 18 to 89 years varies with sociodemographic factors. The analysis of the consumption by processed food groups showed that the studied factors, i.e., age, gender, ethnicity, housing and health status, all contributed to differences in processed food consumption to varying extents, with ethnicity being the key factor driving the variation. Such differences were also confirmed to a limited degree by determining another measure of consumption, i.e., a processed food variety score. The findings in this study could inform further work in relation to dietary risks.
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32
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Geographical and Temporal Variability of Ultra-Processed Food Consumption in the Spanish Population: Findings from the DRECE Study. Nutrients 2022; 14:nu14153223. [PMID: 35956398 PMCID: PMC9370340 DOI: 10.3390/nu14153223] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/01/2022] [Accepted: 08/03/2022] [Indexed: 11/16/2022] Open
Abstract
The consumption of ultra-processed foods (UPFs) has increased in recent decades, worldwide. Evidence on the negative impacts of food processing on health outcomes has also been steadily increasing. The aim of this study is to describe changes in consumption patterns of ultra-processed foods in the Spanish population over time and their geographical variability. Data from four representative cohorts of the Spanish population were used (1991−1996−2004−2008). Dietary information was collected using a validated frequency questionnaire and categorized using the NOVA classification. A total increase of 10.8% in UPF consumption between 1991 and 2008 was found in Spain (p-value < 0.001). The products contributing most to UPF consumption were sugar-sweetened beverages, processed meats, dairy products, and sweets. Those who consumed more ultra-processed foods were younger (p-value < 0.001) and female (p-value = 0.01). Significant differences between the different geographical areas of Spain were found. The eastern part of Spain was the area with the lowest UPF consumption, whereas the north-western part was the area with the highest increase in UPF consumption. Given the negative effect that the consumption of ultra-processed foods has on health, it is necessary to implement public health policies to curb this increase in UPF consumption.
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33
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Forde CG, Decker EA. The Importance of Food Processing and Eating Behavior in Promoting Healthy and Sustainable Diets. Annu Rev Nutr 2022; 42:377-399. [PMID: 35671530 DOI: 10.1146/annurev-nutr-062220-030123] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Numerous association studies and findings from a controlled feeding trial have led to the suggestion that "processed" foods are bad for health. Processing technologies and food formulation are essential for food preservation and provide access to safe, nutritious, affordable, appealing and sustainable foods for millions globally. However, food processing at any level can also cause negative health consequences that result from thermal destruction of vitamins; formation of toxins such as acrylamide; or excessive intakes of salt, sugar, and fat. Research on ultraprocessed foods centers on food composition and formulation. In addition, many modern food formulations can have poor nutritional quality and higher energy density. We outline the role of processing in the provision of a safe and secure food supply and explore the characteristics of processed foods that promote greater energy intake. Despite the potential for negative health effects, food processing and formulation represent an opportunity to apply the latest developments in technology and ingredient innovation to improve the food supply by creating foods that decrease the risk of overeating. Expected final online publication date for the Annual Review of Nutrition, Volume 42 is August 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Ciarán G Forde
- Sensory Science and Eating Behavior Group, Division of Human Nutrition, Wageningen University and Research, Wageningen, The Netherlands;
| | - Eric A Decker
- Department of Food Science, University of Massachusetts, Amherst, Massachusetts, USA
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34
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Abstract
Dramatically increasing trends in consumption of ultra-processed foods have been reported across the globe. Public concern about the health consequences of ultra-processed foods is high. This manuscript provides a comprehensive review of trends in global consumption of ultra-processed foods, dietary nutrient profile of ultra-processed foods, demographic, socioeconomic, psychological, and behavioral characteristics of ultra-processed food consumers, current evidence from longitudinal studies at the population level on the association between ultra-processed foods consumption and major health outcomes (including all-cause and cause-specific mortality, cardiovascular disease, overweight and obesity, body composition and fat deposition, diabetes, cancer, and gastrointestinal and other diseases), potential mechanisms linking ultra-processed foods with these outcomes (nutrient displacement, factors that influence adiposity, and processing), and challenges and future research directions. The global trends in consumption of ultra-processed foods, the generally unfavorable nutrient profile of ultra-processed foods, the characteristics of ultra-processed food consumers, the accumulating longitudinal studies associating ultra-processed foods with major health outcomes, and the uncertainties and complexities in putative mechanisms all highlight the need for future high-quality epidemiologic and mechanistic investigations on this topic. It is critical to interpret findings in the light of the totality of evidence.
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Affiliation(s)
- Yin Zhang
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
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35
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Consumption of Ultra-Processed Foods Is Inversely Associated with Adherence to the Mediterranean Diet: A Cross-Sectional Study. Nutrients 2022; 14:nu14102073. [PMID: 35631214 PMCID: PMC9147239 DOI: 10.3390/nu14102073] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 05/08/2022] [Accepted: 05/12/2022] [Indexed: 02/01/2023] Open
Abstract
Information on the consumption of ultra-processed foods (UPF) in relation to an adherence to the Mediterranean diet (MD) is limited. Our aim was to assess UPF consumption in a group of Italian adults and to evaluate the relationship with the MD adherence. A total of 670 participants (median age: 30 years) were included in the analysis. The consumption of UPF was assessed through the NOVA Food Frequency Questionnaire (NFFQ). Adherence to the MD was assessed through the Medi-Lite score. The percentage of UPF in the diet was 16.4% corresponding to 299 g of UPF per day. These amounts were significantly (p < 0.05) higher in men than in women and came mainly from ready-to-eat meals or pre-packaged bread, bread alternatives, pizza, frozen potato chips (24.5% of total UPF intake), pre-packaged biscuits and sweets (20.7%), soft drinks (15.8%), and dairy products such as flavored yogurt (12%). As to the MD adherence, a significant inverse association between the Medi-Lite score and the percentage of UPF in the diet (R = −0.35; p < 0.001) was observed. Participants with a low adherence to the MD had a significantly higher contribution of UPF in the diet (22.2%) compared to those with a moderate (16.2%) and high (12.6%) adherence. In terms of individual UPF, the largest difference between low and high MD adherents was observed for pre-packaged biscuits and sweets, soft and energy drinks, sausages and other reconstituted meat products, and pre-packaged bread and bread alternatives. These results suggest that public health strategies are needed to implement more effective actions to promote healthy eating habits in the population.
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36
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Jideani AIO, Onipe OO, Ramashia SE. Classification of African Native Plant Foods Based on Their Processing Levels. Front Nutr 2022; 9:825690. [PMID: 35571923 PMCID: PMC9102804 DOI: 10.3389/fnut.2022.825690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 03/22/2022] [Indexed: 11/22/2022] Open
Abstract
With increasing advocacy for plant food consumption, the sub-Saharan Africa landscape is home to diverse plant-based food commodities. The need to leverage the advantages of unprocessed/minimally processed foods (PFs) over ultra-processed foods (UPFs) is a system that requires exploitation. Most of the crops produced in the continent are either classified as traditionally or moderately PFs. However, the rise in industrialization and formalization of markets is impacting and marginalizing traditional food processing (FP). Current FP classification frameworks are briefly discussed. The level of processing of cereals, grains, fruits, vegetables, roots, and tuber crops in the continent requires intervention from nutritionists, food scientists, and scientific and governmental bodies to gain a holistic view and tackle the issue of food insecurity in Africa. This study reviews the levels of processing of African foods, challenges, and future directions.
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Affiliation(s)
- Afam I. O. Jideani
- Vicfame Pty Ltd., Cape Town, South Africa
- Special Interest Group, Postharvest Handling Group, ISEKI-Food Association, Vienna, Austria
| | - Oluwatoyin O. Onipe
- Department of Food Science and Technology, Faculty of Science Engineering and Agriculture, University of Venda, Thohoyandou, South Africa
| | - Shonisani E. Ramashia
- Department of Food Science and Technology, Faculty of Science Engineering and Agriculture, University of Venda, Thohoyandou, South Africa
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37
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Ebner P, Frank K, Christodoulou A, Davidou S. How are the processing and nutrient dimensions of foods interconnected? an issue of hierarchy based on three different food scores. Int J Food Sci Nutr 2022; 73:770-785. [DOI: 10.1080/09637486.2022.2060951] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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38
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Chauhan H, Belski R, Bryant E, Cooke M. Dietary Assessment Tools and Metabolic Syndrome: Is It Time to Change the Focus? Nutrients 2022; 14:1557. [PMID: 35458121 PMCID: PMC9032662 DOI: 10.3390/nu14081557] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/06/2022] [Accepted: 04/06/2022] [Indexed: 12/16/2022] Open
Abstract
Metabolic syndrome (MS) is associated with a range of chronic diseases, for which lifestyle interventions are considered the cornerstone of treatment. Dietary interventions have primarily focused on weight reduction, usually via energy restricted diets. While this strategy can improve insulin sensitivity and other health markers, weight loss alone is not always effective in addressing all risk factors associated with MS. Previous studies have identified diet quality as a key factor in reducing the risk of MS independent of weight loss. Additionally, supporting evidence for the use of novel strategies such as carbohydrate restriction and modifying the frequency and timing of meals is growing. It is well established that dietary assessment tools capable of identifying dietary patterns known to increase the risk of MS are essential for the development of personalised, targeted diet and lifestyle advice. The American Heart Association (AHA) recently evaluated the latest in a variety of assessment tools, recommending three that demonstrate the highest evidence-based and clinical relevance. However, such tools may not assess and thus identify all dietary and eating patterns associated with MS development and treatment, especially those which are new and emerging. This paper offers a review of current dietary assessment tools recommended for use by the AHA to assess dietary and eating patterns associated with MS development. We discuss how these recommendations align with recent and novel evidence on the benefits of restricting ultra-processed food and refined carbohydrates and modifying timing and frequency of meals. Finally, we provide recommendations for future redevelopment of these tools to be deployed in health care settings.
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Affiliation(s)
- Helen Chauhan
- School of Health Sciences, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
| | - Regina Belski
- School of Health Sciences, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC 3086, Australia
| | - Eleanor Bryant
- Division of Psychology, University of Bradford, Bradford BD7 1DP, UK
| | - Matthew Cooke
- School of Health Sciences, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
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39
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A Systematic Review on Processed/Ultra-Processed Foods and Arterial Hypertension in Adults and Older People. Nutrients 2022; 14:nu14061215. [PMID: 35334872 PMCID: PMC8955286 DOI: 10.3390/nu14061215] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 02/18/2022] [Accepted: 02/21/2022] [Indexed: 01/27/2023] Open
Abstract
The increase in the availability of processed and ultra-processed foods has altered the eating patterns of populations, and these foods constitute an exposure factor for the development of arterial hypertension. This systematic review analyzed evidence of the association between consumption of processed/ultra-processed foods and arterial hypertension in adults and older people. Electronic searches for relevant articles were performed in the PUBMED, EMBASE and LILACS databases. The review was conducted following the PRISMA guidelines and the Newcastle–Ottawa Scale. The search of the databases led to the retrieval of 2323 articles, eight of which were included in the review. A positive association was found between the consumption of ultra-processed foods and blood pressure/arterial hypertension, whereas insufficient evidence was found for the association between the consumption of processed foods and arterial hypertension. The results reveal the high consumption of ultra-processed foods in developed and middle-income countries, warning of the health risks of such foods, which have a high energy density and are rich in salt, sugar and fat. The findings underscore the urgent need for the adoption of measures that exert a positive impact on the quality of life of populations, especially those at greater risk, such as adults and older people.
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40
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de Araújo TP, de Moraes MM, Afonso C, Santos C, Rodrigues SSP. Food Processing: Comparison of Different Food Classification Systems. Nutrients 2022; 14:nu14040729. [PMID: 35215379 PMCID: PMC8877594 DOI: 10.3390/nu14040729] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 02/02/2022] [Accepted: 02/04/2022] [Indexed: 12/14/2022] Open
Abstract
The substitution of minimally processed food and culinary home preparations for ready-to-eat products is increasing worldwide, which is overlooked as a cause of concern. The technological developments and the rise in highly processed food availability have introduced the concept of ultra-processed food (UPF). Food classification systems based on processing are now a new basis for epidemiological research. Different results from these classifications might influence conclusions on the population’s consumption of UPF or its association with health outcomes. The aim of this study was to compare classification systems and to find out if their results are comparable when evaluating the extent of high/UPF on the overall diet. Portuguese data from the year 2000 was extracted from the DAFNE-AnemosSoft, and 556 food/beverages items were classified according to five systems. The contribution of UPF was calculated as a percentage of total available amount and discrepancy ranges used for comparisons. Results of UPF availability contributions were: NOVA 10.2%; UNC 15.2%; IFPRI 16.7%; IFIC 17.7%; IARC 47.4%. The highest discrepancy ranges were from alcoholic beverages (97.4%), milk/milk products (94.2%), sugar/sugar products (90.1%), added lipids (74.9%), and cereals/cereal products (71.3%). Inconsistencies among classifications were huge and the contribution from highly/UPF presented high discrepancies. Caution must be taken when comparing and interpreting such data.
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Affiliation(s)
- Taissa Pereira de Araújo
- Faculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal; (M.M.d.M.); (C.A.); (C.S.); (S.S.P.R.)
- Associated Laboratory ITR, Laboratory for Integrative and Translational Research in Population Health—Institute of Public Health, University of Porto, 4050-600 Porto, Portugal
- Correspondence: or
| | - Milena Miranda de Moraes
- Faculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal; (M.M.d.M.); (C.A.); (C.S.); (S.S.P.R.)
- Associated Laboratory ITR, Laboratory for Integrative and Translational Research in Population Health—Institute of Public Health, University of Porto, 4050-600 Porto, Portugal
| | - Cláudia Afonso
- Faculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal; (M.M.d.M.); (C.A.); (C.S.); (S.S.P.R.)
- Associated Laboratory ITR, Laboratory for Integrative and Translational Research in Population Health—Institute of Public Health, University of Porto, 4050-600 Porto, Portugal
| | - Cristina Santos
- Faculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal; (M.M.d.M.); (C.A.); (C.S.); (S.S.P.R.)
- Associate Laboratory RISE—Health Research Network, Center for Health Technology and Services Research (CINTESIS), University of Porto, 4200-450 Porto, Portugal
| | - Sara S. P. Rodrigues
- Faculty of Nutrition and Food Sciences, University of Porto, 4150-180 Porto, Portugal; (M.M.d.M.); (C.A.); (C.S.); (S.S.P.R.)
- Associated Laboratory ITR, Laboratory for Integrative and Translational Research in Population Health—Institute of Public Health, University of Porto, 4050-600 Porto, Portugal
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41
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Gibney MJ, Forde CG. Nutrition research challenges for processed food and health. NATURE FOOD 2022; 3:104-109. [PMID: 37117956 DOI: 10.1038/s43016-021-00457-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 12/22/2021] [Indexed: 04/30/2023]
Abstract
Existing highly processed food (HPF) classification systems show large differences in the impact of these foods on biochemical risk factors for disease. If public health nutrition is to consider the degree of food processing as an important element of the link between food and health, certain gaps in research must be acknowledged. Quantifying the food additive exposure derived from HPFs is a task made challenging by the lack of data available on the occurrence and concentration of additives in food and the degree to which the natural occurrence of additives in unprocessed foods confounds exposure estimates. The proposed role of HPFs in health outcomes could also be associated with altered nutrient profiles. Differences exist within and between HPF classification systems in this regard and there are conflicting data on the impact of controlling for nutrient intake. Furthermore, research is needed on how the sensory aspects of HPFs contribute to energy intake. Current data suggest that high energy intake rate may be the mechanism linking HPFs and increased energy intake. A high priority now is to clarify the basis of definitions used to categorize foods as highly processed and, in a constructive sense, to distinguish between the contributions of nutrients, additives and sensory properties to health.
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Affiliation(s)
- Michael J Gibney
- Institute of Food and Health, University College Dublin, Dublin, Ireland.
| | - Ciarán G Forde
- Sensory Science and Eating Behaviour, Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, Netherlands
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42
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Visioli F, Sofi F. Editorial: Analyzing the Relationship Between Dietary Patterns, Health Outcomes, and Individual Food Choices. Front Nutr 2022; 9:840554. [PMID: 35178423 PMCID: PMC8843831 DOI: 10.3389/fnut.2022.840554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 01/07/2022] [Indexed: 11/17/2022] Open
Affiliation(s)
- Francesco Visioli
- Department of Molecular Medicine, University of Padova, Padua, Italy
- IMDEA-Food, Madrid, Spain
- *Correspondence: Francesco Visioli
| | - Francesco Sofi
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
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43
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Martinez-Perez C, Daimiel L, Climent-Mainar C, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, 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, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Ros E, Basterra J, Babio N, Guillem-Saiz P, Zomeño MD, Abete I, Vaquero-Luna J, Barón-López FJ, Gonzalez-Palacios S, Konieczna J, Garcia-Rios A, Bernal-López MR, Santos-Lozano JM, Bes-Rastrollo M, Khoury N, Saiz C, Pérez-Vega KA, Zulet MA, Tojal-Sierra L, Ruiz ZV, Martinez MA, Malcampo M, Ordovás JM, San-Cristobal R. Integrative development of a short screening questionnaire of highly processed food consumption (sQ-HPF). Int J Behav Nutr Phys Act 2022; 19:6. [PMID: 35073909 PMCID: PMC8785596 DOI: 10.1186/s12966-021-01240-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 12/14/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Recent lifestyle changes include increased consumption of highly processed foods (HPF), which has been associated with an increased risk of non-communicable diseases (NCDs). However, nutritional information relies on the estimation of HPF consumption from food-frequency questionnaires (FFQ) that are not explicitly developed for this purpose. We aimed to develop a short screening questionnaire of HPF consumption (sQ-HPF) that integrates criteria from the existing food classification systems. METHODS Data from 4400 participants (48.1% female and 51.9% male, 64.9 ± 4.9 years) of the Spanish PREDIMED-Plus ("PREvention with MEDiterranean DIet") trial were used for this analysis. Items from the FFQ were classified according to four main food processing-based classification systems (NOVA, IARC, IFIC and UNC). Participants were classified into tertiles of HPF consumption according to each system. Using binomial logistic regression, food groups associated with agreement in the highest tertile for at least two classification systems were chosen as items for the questionnaire. ROC analysis was used to determine cut-off points for the frequency of consumption of each item, from which a score was calculated. Internal consistency of the questionnaire was assessed through exploratory factor analysis (EFA) and Cronbach's analysis, and agreement with the four classifications was assessed with weighted kappa coefficients. RESULTS Regression analysis identified 14 food groups (items) associated with high HPF consumption for at least two classification systems. EFA showed that items were representative contributors of a single underlying factor, the "HPF dietary pattern" (factor loadings around 0.2). We constructed a questionnaire asking about the frequency of consumption of those items. The threshold frequency of consumption was selected using ROC analysis. Comparison of the four classification systems and the sQ-HPF showed a fair to high agreement. Significant changes in lifestyle characteristics were detected across tertiles of the sQ-HPF score. Longitudinal changes in HPF consumption were also detected by the sQ-HPF, concordantly with existing classification systems. CONCLUSIONS We developed a practical tool to measure HPF consumption, the sQ-HPF. This may be a valuable instrument to study its relationship with NCDs. TRIAL REGISTRATION Retrospectively registered at the International Standard Randomized Controlled Trial Registry ( ISRCTN89898870 ) on July 24, 2014.
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Affiliation(s)
- Celia Martinez-Perez
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Ctra. Cantoblanco, 8, 28049, Madrid, Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Ctra. Cantoblanco, 8, 28049, Madrid, Spain.
| | - Cristina Climent-Mainar
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Ctra. Cantoblanco, 8, 28049, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- 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
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- 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
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - Helmut Schröder
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003, Barcelona, Spain
| | - Jose Alfredo Martinez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049, Madrid, Spain
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31009, Pamplona, Spain
| | - Ángel M Alonso-Gómez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 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
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), 03010, Alicante, Spain
| | - Dora Romaguera
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- 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
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14017, Córdoba, Spain
| | - Ramón Estruch
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08007, Barcelona, Spain
| | - Francisco J Tinahones
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29016, Málaga, Spain
| | - José Lapetra
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Sevilla, Spain
| | - Lluis Serra-Majem
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016, Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, 18011, Granada, Spain
| | - Josep A Tur
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- 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
- Institute of Biomedicine (IBIOMED), University of León, 24071, León, Spain
| | - Xavier Pintó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907, Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
- 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
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autónoma, 28015, Madrid, Spain
| | - Emilio Ros
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, 08007, Barcelona, Spain
| | - Javier Basterra
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31009, Pamplona, Spain
- Department of Endocrinology and Nutrition, Complejo Hospitalario de Navarra, 31008, Pamplona, Spain
| | - Nancy Babio
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- 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
| | - Patricia Guillem-Saiz
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- 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
- School of Health Sciences, Blanquerna-Ramon Llull University, 08001, Barcelona, Spain
| | - Itziar Abete
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31009, Pamplona, Spain
| | - Jessica Vaquero-Luna
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - Francisco Javier Barón-López
- Department of Public Health, University of Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29016, Málaga, Spain
| | - Sandra Gonzalez-Palacios
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), 03010, Alicante, Spain
| | - Jadwiga Konieczna
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- 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 Garcia-Rios
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14017, Córdoba, Spain
| | - María Rosa Bernal-López
- Internal Medicine Department, Regional University Hospital of Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29010, Málaga, Spain
| | - José Manuel Santos-Lozano
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Sevilla, Spain
| | - Maira Bes-Rastrollo
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31009, Pamplona, Spain
| | - Nadine Khoury
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- 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
| | - Carmen Saiz
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - Karla Alejandra Pérez-Vega
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003, Barcelona, Spain
| | - María Angeles Zulet
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31009, Pamplona, Spain
| | - Lucas Tojal-Sierra
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - Zenaida Vázquez Ruiz
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31009, Pamplona, Spain
| | - Maria Angeles Martinez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- 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
| | - Mireia Malcampo
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003, Barcelona, Spain
| | - José M Ordovás
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Ctra. Cantoblanco, 8, 28049, Madrid, Spain
- Nutrition and Genomics Laboratory, JM_USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, 02155, USA
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Associations between Taste Perception Profiles and Empirically Derived Dietary Patterns: An Exploratory Analysis among Older Adults with Metabolic Syndrome. Nutrients 2021; 14:nu14010142. [PMID: 35011017 PMCID: PMC8747383 DOI: 10.3390/nu14010142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 12/08/2021] [Accepted: 12/25/2021] [Indexed: 11/21/2022] Open
Abstract
Taste perception is a primary driver of food choices; however, little is known about how perception of all five tastes (sweet, salt, sour, bitter, umami) collectively inform dietary patterns. Our aim was to examine the associations between a multivariable measure of taste perception—taste perception profiles—and empirically derived dietary patterns. The cohort included 367 community-dwelling adults (55–75 years; 55% female; BMI = 32.2 ± 3.6 kg/m2) with metabolic syndrome from PREDIMED-Plus, Valencia. Six taste perception profiles were previously derived via data-driven clustering (Low All, High Bitter, High Umami, Low Bitter and Umami, High All But Bitter, High All But Umami); three dietary patterns were derived via principal component analysis (% variance explained = 20.2). Cross-sectional associations between profiles and tertials of dietary pattern adherence were examined by multinomial logistic regression. Overall, there were several significant differences in dietary pattern adherence between profiles: the vegetables, fruits, and whole grains pattern was significantly more common for the High All But Umami profile (OR range for high vs. low adherence relative to other profiles (1.45–1.99; 95% CI minimum lower, maximum upper bounds: 1.05, 2.74), the non-extra virgin olive oils, sweets, and refined grains pattern tended to be less common for Low All or High Bitter profiles (OR range: 0.54–0.82), while the alcohol, salty foods, and animal fats pattern tended to be less common for Low Bitter and Umami and more common for High All But Bitter profiles (OR range: 0.55–0.75 and 1.11–1.81, respectively). In conclusion, among older adults with metabolic syndrome, taste perception profiles were differentially associated with dietary patterns, suggesting the benefit of integrating taste perception into personalized nutrition guidance.
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