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Anwar S, Syed QA, Saleh M, Akram MS, Sultan G, Khalid S, Ishaq A, Abdi G, Aadil RM. Fatty fried food toxins as triggering stimuli to immune system interplay in global autoimmune diseases: A systematic review. JOURNAL OF AGRICULTURE AND FOOD RESEARCH 2025; 19:101568. [DOI: 10.1016/j.jafr.2024.101568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2025]
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Smaira FI, Mazzolani BC, Sieczkowska SM, Romero M, Ribeiro TT, Amarante MC, Pasoto S, Pinto ALDS, Lima FR, Benatti FB, Roschel H, Gualano B. Food consumption, physical activity and aerobic capacity in systemic lupus erythematosus patients with high cardiovascular risk. Clinics (Sao Paulo) 2024; 79:100418. [PMID: 39003927 PMCID: PMC11300905 DOI: 10.1016/j.clinsp.2024.100418] [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: 11/17/2023] [Accepted: 06/11/2024] [Indexed: 07/16/2024] Open
Abstract
Systemic Lupus Erythematosus (SLE) is a chronic, autoimmune and multisystemic rheumatic disease. Patients with SLE have decreased functional and aerobic capacity, as well as increased prevalence of Cardiovascular Diseases (CVD), which are the primary causes of morbimortality in this condition. Dietary intake and physical activity are well-known modifiable cardiovascular risk factors. The aim of this study is to describe food consumption, sedentary behavior, physical activity level, and functional and aerobic capacity in a sample of SLE patients with high cardiovascular risk. This was a cross-sectional study in which patients were assessed for (i) Demographic, anthropometric, and disease-related parameters; (ii) Food consumption; (iii) Physical activity level and sedentary behavior; (iv) Functional and aerobic capacity. Patients averaged 41.7 ± 9 years, and most were classified as overweight/obese (87%). Average macronutrient intake was within recommendations; however, fiber (16 ± 9g) and calcium (391 ± 217 mg) intakes were below, and sodium intake (2.9 ± 1.3 mg) was above recommendations. Besides, food consumption assessed by the Nova system showed a predominance of unprocessed foods (43.8 ± 14.0%TEI), although ultraprocessed food intake (20.0 ± 13.9%TEI) was slightly higher than that seen in the Brazilian population. Patients also exhibited high sedentary behavior (8.2 ± 2.2h) and only eighteen participants reached the minimum recommended amount of moderate-to-vigorous physical activity. Overall, patients had a low functional and aerobic capacity compared to the general population. Data from this study may help design dedicated clinical trials aiming to investigate the effects of lifestyle intervention to mitigate CVD in SLE.
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Affiliation(s)
- Fabiana Infante Smaira
- Applied Physiology and Nutrition Research Group - Center of Lifestyle Medicine; Laboratory of Assessment and Conditioning in Rheumatology, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil
| | - Bruna Caruso Mazzolani
- Applied Physiology and Nutrition Research Group - Center of Lifestyle Medicine; Laboratory of Assessment and Conditioning in Rheumatology, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil
| | - Sofia Mendes Sieczkowska
- Applied Physiology and Nutrition Research Group - Center of Lifestyle Medicine; Laboratory of Assessment and Conditioning in Rheumatology, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil
| | - Marina Romero
- Faculdade de Ciências Aplicadas, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil
| | - Thainá Toledo Ribeiro
- Applied Physiology and Nutrition Research Group - Center of Lifestyle Medicine; Laboratory of Assessment and Conditioning in Rheumatology, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil
| | - Milla Cordeiro Amarante
- Applied Physiology and Nutrition Research Group - Center of Lifestyle Medicine; Laboratory of Assessment and Conditioning in Rheumatology, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil
| | - Sandra Pasoto
- Rheumatology Division, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil
| | - Ana Lúcia de Sá Pinto
- Applied Physiology and Nutrition Research Group - Center of Lifestyle Medicine; Laboratory of Assessment and Conditioning in Rheumatology, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil; Rheumatology Division, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil
| | - Fernanda Rodrigues Lima
- Applied Physiology and Nutrition Research Group - Center of Lifestyle Medicine; Laboratory of Assessment and Conditioning in Rheumatology, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil; Rheumatology Division, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil
| | - Fabiana Braga Benatti
- Applied Physiology and Nutrition Research Group - Center of Lifestyle Medicine; Laboratory of Assessment and Conditioning in Rheumatology, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil; Faculdade de Ciências Aplicadas, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil
| | - Hamilton Roschel
- Applied Physiology and Nutrition Research Group - Center of Lifestyle Medicine; Laboratory of Assessment and Conditioning in Rheumatology, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil
| | - Bruno Gualano
- Applied Physiology and Nutrition Research Group - Center of Lifestyle Medicine; Laboratory of Assessment and Conditioning in Rheumatology, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil; Rheumatology Division, Faculdade de Medicina, Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.
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3
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Esteves GP, Mazzolani BC, Smaira FI, Santo André HC, Iraha AY, Astley C, Marques IG, Amarante MC, Rezende NS, Sieczkowska SM, Franco TC, do Amaral Miranda LC, Lindoso L, Helito AC, Oba J, Queiroz LB, Pereira RMR, Campos LMA, Aikawa NE, Roschel H, Silva CA, Gualano B. Food consumption based on processing level (according to Nova system) during the COVID-19 pandemic among adolescents with immunocompromised conditions: a case-control study. Front Nutr 2023; 10:1141845. [PMID: 37260519 PMCID: PMC10227604 DOI: 10.3389/fnut.2023.1141845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 04/26/2023] [Indexed: 06/02/2023] Open
Abstract
The COVID-19 pandemic impacts on eating habits among adolescents may be more relevant in pediatric patients with immunocompromised chronic diseases. This case-control study conducted between June and October 2020 aimed to: (i) describe dietary patterns of adolescents with chronic conditions compared to healthy controls and (ii) determine associations between food consumption, health-related quality of life (HRQL) and sleep quality during the COVID-19 pandemic. Participants (184 immunocompromised and 58 healthy adolescents, aged 14.3 [SD 2.5]) responded to HRQL and sleep validated instruments (PedsQL and PSQI) and three 24 h food recalls via online software. Adjusted linear and logistic regressions were used to assess differences in dietary patterns and associations between food consumption (according to Nova classification) and HRQL and sleep quality. Adolescents with gastrohepatic, rheumatic, and kidney diseases had an improved dietary pattern vs. their healthy peers, showing greater consumption of unprocessed and minimally processed foods (unstandardized coefficient (b) = 7.35%[95%CI 1.59; 13.1]; b = 15.10%[95%CI 7.00; 23.1]; and b = 11.2%[95%CI 5.68; 16.8]), and lower consumption of ultraprocessed foods (b = -7.53%[95%CI-12.90; -2.18]; b = -11.4%[95%CI-18.90; -3.94]; b = -10.8%[95%CI-16.00; -5.68]). Consumption of culinary ingredients was associated with reduced psychological HRQL in controls (standardized coefficient (β) = -0.26[95%CI-0.52; -0.004]), and processed food consumption was associated with improved sleep latency in immunocompromised participants (β = 0.16[95%CI 0.01; 0.31]). These findings suggest diet quality may play a role in HRQL and sleep quality in this population, and may be relevant for clinical practitioners and policy makers when considering the importance of dietary quality in immunocompromised youths.
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Affiliation(s)
- Gabriel P. Esteves
- Rheumatology Division, Faculdade de Medicina FMUSP, Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Universidade de São Paulo, São Paulo, SP, Brazil
- Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Disciplina de Reumatologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Bruna Caruso Mazzolani
- Rheumatology Division, Faculdade de Medicina FMUSP, Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Universidade de São Paulo, São Paulo, SP, Brazil
- Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Disciplina de Reumatologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Fabiana Infante Smaira
- Rheumatology Division, Faculdade de Medicina FMUSP, Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Universidade de São Paulo, São Paulo, SP, Brazil
- Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Disciplina de Reumatologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | | | - Amanda Yuri Iraha
- Rheumatology Division, Faculdade de Medicina FMUSP, Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Universidade de São Paulo, São Paulo, SP, Brazil
- Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Disciplina de Reumatologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Camilla Astley
- Rheumatology Division, Faculdade de Medicina FMUSP, Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Universidade de São Paulo, São Paulo, SP, Brazil
- Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Disciplina de Reumatologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Isabela Gouveia Marques
- Rheumatology Division, Faculdade de Medicina FMUSP, Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Universidade de São Paulo, São Paulo, SP, Brazil
- Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Disciplina de Reumatologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Milla Cordeiro Amarante
- Rheumatology Division, Faculdade de Medicina FMUSP, Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Universidade de São Paulo, São Paulo, SP, Brazil
- Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Disciplina de Reumatologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Nathalia Saffioti Rezende
- Rheumatology Division, Faculdade de Medicina FMUSP, Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Universidade de São Paulo, São Paulo, SP, Brazil
- Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Disciplina de Reumatologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Sofia Mendes Sieczkowska
- Rheumatology Division, Faculdade de Medicina FMUSP, Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Universidade de São Paulo, São Paulo, SP, Brazil
- Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Disciplina de Reumatologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Tathiane Christine Franco
- Rheumatology Division, Faculdade de Medicina FMUSP, Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Universidade de São Paulo, São Paulo, SP, Brazil
- Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Disciplina de Reumatologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Luana Cristina do Amaral Miranda
- Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Instituto da Criança e do Adolescente (ICr), Universidade de São Paulo, São Paulo, Brazil
| | - Lívia Lindoso
- Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Instituto da Criança e do Adolescente (ICr), Universidade de São Paulo, São Paulo, Brazil
| | - Alberto Carame Helito
- Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Instituto da Criança e do Adolescente (ICr), Universidade de São Paulo, São Paulo, Brazil
| | - Jane Oba
- Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Instituto da Criança e do Adolescente (ICr), Universidade de São Paulo, São Paulo, Brazil
| | - Ligia Bruni Queiroz
- Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Instituto da Criança e do Adolescente (ICr), Universidade de São Paulo, São Paulo, Brazil
| | - Rosa Maria R. Pereira
- Rheumatology Division, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Lucia Maria A. Campos
- Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Instituto da Criança e do Adolescente (ICr), Universidade de São Paulo, São Paulo, Brazil
| | - Nadia E. Aikawa
- Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Instituto da Criança e do Adolescente (ICr), Universidade de São Paulo, São Paulo, Brazil
- Rheumatology Division, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Hamilton Roschel
- Rheumatology Division, Faculdade de Medicina FMUSP, Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Universidade de São Paulo, São Paulo, SP, Brazil
- Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Disciplina de Reumatologia, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Clovis A. Silva
- Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Instituto da Criança e do Adolescente (ICr), Universidade de São Paulo, São Paulo, Brazil
- Rheumatology Division, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Bruno Gualano
- Rheumatology Division, Faculdade de Medicina FMUSP, Applied Physiology and Nutrition Research Group, School of Physical Education and Sport, Universidade de São Paulo, São Paulo, SP, Brazil
- Laboratory of Assessment and Conditioning in Rheumatology, Faculdade de Medicina FMUSP, Disciplina de Reumatologia, Universidade de São Paulo, São Paulo, SP, Brazil
- Food Research Center, University of São Paulo, São Paulo, Brazil
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Oliveira N, Canella DS. Trend of minimally processed and ultra-processed beverages purchased in Brazilian households: Less milk and much soft drink (2002-2003 to 2017-2018). Front Public Health 2022; 10:956142. [PMID: 36408053 PMCID: PMC9669963 DOI: 10.3389/fpubh.2022.956142] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022] Open
Abstract
The consumption of ultra-processed beverages, including sugar-sweetened and artificially sweetened ones, is associated with several health problems, which is different considering minimally processed beverages. The objective of this study was to assess the trends in the volume of minimally and ultra-processed beverages purchased for consumption in Brazilian households and their relationship with the proportion of dietary energy derived from ultra-processed foods and beverages. Drawing on data from the nationwide 2002-03, 2008-09, and 2017-18 Household Budget Surveys, the daily volume of beverages purchased per capita (milligrams) was investigated. The minimally processed beverages purchased declined over the period [2002-2003: x ¯ 156.5 ml (95%CI: 148.3-164.8); 2017-2018: x ¯ 101.6 ml (95%CI: 98.1-105.1)] and ultra-processed beverages were stable [2002-03: x ¯ 117.9 ml (95%CI: 108.1-127.7); 2017-18: x ¯ 122.8 (95%CI: 111.2-134.4)]. The most purchased beverage in 2002-2003 was milk [ x ¯ : 154.7 ml (95%CI: 146.4-162.9)], while in 2017-2018 regular soft drinks were the most purchased [ x ¯ : 110.7 ml (95%CI: 99.2-122.2)]. There was a decrease in the purchase of whole and skimmed milk and an increase in the purchase of other ultra-processed beverages between the periods. With the increase in the proportion of ultra-processed foods and beverages in the diet, the volume of ultra-processed beverage purchases rose and minimally processed beverages declined. The monitoring of beverage consumption and the implementation of public policies, such as taxation on ultra-processed beverages, are essential to promote improvements in health and curbing non-communicable diseases.
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Affiliation(s)
- Natália Oliveira
- Postgraduate Program in Food, Nutrition and Health, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Daniela Silva Canella
- Institute of Nutrition, Rio de Janeiro State University, Rio de Janeiro, Brazil,*Correspondence: Daniela Silva Canella
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Scaranni PDODS, de Oliveira Cardoso L, Griep RH, Lotufo PA, Barreto SM, da Fonseca MDJM. Consumption of ultra-processed foods and incidence of dyslipidemias: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Br J Nutr 2022; 129:1-22. [PMID: 35450540 DOI: 10.1017/s0007114522001131] [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: 11/07/2022]
Abstract
Ultra-processed foods (UPF) have been associated with cardiometabolic outcomes, but the literature has still not reported their association with incidence of dyslipidemias, one of the most important risk factors for the occurrence of cardiovascular diseases. The objective of this study was to verify the association between consumption of UPF and incidence of dyslipidemia in Brazilian civil servants at a 4-year follow-up. The study used data from 5,275 participants at baseline and on the first follow-up visit in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). We applied a food frequency questionnaire (FFQ) at baseline and identified UPF from NOVA, classification of foods as to the extent and purpose of processing. The proportion (in weight) of UPF in the total diet was calculated for each participant and categorized in tertiles, corresponding to low (first tertile), medium (second tertile), and high (third tertile) consumption. A mixed-effects logistic model was used to obtain the incidence of dyslipidemia associated with consumption of UPF. Individuals with medium and high consumption of UPF showed increases in the risks of development of isolated hypercholesterolemia by 12% (OR=1.12, CI:1.00-1.27) and 28% (OR=1.28, CI:1.12-1.47), of isolated hypertriglyceridemia by 14% (OR=1.14, CI:1.03-1.26) and 30% (OR=1.30, CI:1.17-1.45), of mixed hyperlipidemia by 21% (OR=1.21, CI:1.05-1.39) and 38% (OR=1.38, CI:1.18-1.62), and of low-HDL by 12% (OR=1.12, CI:1.00-1.24) and 18% (OR=1.18, CI:1.05-1.32), respectively, compared to participants that consumed less UPF. Our findings showed important cardiovascular risk associated with consumption of UPF and a gradient in the consumption´s effect, so these products should be discouraged.
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Affiliation(s)
| | | | - Rosane Härter Griep
- Laboratory of Health and Environment Education, Oswaldo Cruz Foundation, Manguinhos, Rio de Janeiro, RJ, Brazil
| | - Paulo Andrade Lotufo
- Center for Clinical and Epidemiologic Research, University of Sao Paulo, Sao Paulo, SP, Brazil
- School of Medicine, University of Sao Paulo, Sao Paulo, SP, Brazil
| | - Sandhi Maria Barreto
- School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
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Esteves GP, Mazzolani BC, Smaira FI, Mendes ES, de Oliveira GG, Roschel H, Gualano B, Pereira RMR, Dolan E. Nutritional recommendations for patients undergoing prolonged glucocorticoid therapy. Rheumatol Adv Pract 2022; 6:rkac029. [PMID: 35539442 PMCID: PMC9080102 DOI: 10.1093/rap/rkac029] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 04/05/2022] [Indexed: 11/14/2022] Open
Abstract
Glucocorticoid (GC) therapy is a common treatment used in rheumatic and autoimmune diseases, owing to its anti-inflammatory and immunosuppressive effects. However, GC therapy can also induce a number of adverse effects, including muscle and bone loss, hypertension, metabolic perturbations and increased visceral adiposity. We review available evidence in this area and provide nutritional recommendations that might ameliorate these adverse effects. Briefly, optimizing calcium, vitamin D, sodium and protein intake and increasing consumption of unprocessed and minimally processed foods, while decreasing the consumption of ultra-processed foods, might counteract some of the specific challenges faced by these patients. Importantly, we identify a dearth of empirical data on how nutritional intervention might impact health-related outcomes in this population. Further research is required to investigate the clinical and therapeutic efficacy of these theory-based recommendations.
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Affiliation(s)
- Gabriel P Esteves
- Applied Physiology & Nutrition Research Group; School of Physical Education and Sport; Rheumatology Division; Faculdade de Medicina FMUSP
| | - Bruna Caruso Mazzolani
- Applied Physiology & Nutrition Research Group; School of Physical Education and Sport; Rheumatology Division; Faculdade de Medicina FMUSP
| | - Fabiana Infante Smaira
- Applied Physiology & Nutrition Research Group; School of Physical Education and Sport; Rheumatology Division; Faculdade de Medicina FMUSP
| | - Elizabeth Silva Mendes
- Applied Physiology & Nutrition Research Group; School of Physical Education and Sport; Rheumatology Division; Faculdade de Medicina FMUSP
| | - Gabriela Guimarães de Oliveira
- Applied Physiology & Nutrition Research Group; School of Physical Education and Sport; Rheumatology Division; Faculdade de Medicina FMUSP
| | - Hamilton Roschel
- Applied Physiology & Nutrition Research Group; School of Physical Education and Sport; Rheumatology Division; Faculdade de Medicina FMUSP
| | - Bruno Gualano
- Applied Physiology & Nutrition Research Group; School of Physical Education and Sport; Rheumatology Division; Faculdade de Medicina FMUSP
| | - Rosa Maria R Pereira
- Bone Metabolism Laboratory, Rheumatology Division; Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Eimear Dolan
- Applied Physiology & Nutrition Research Group; School of Physical Education and Sport; Rheumatology Division; Faculdade de Medicina FMUSP
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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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8
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Association of lifestyle and disease characteristics with self-rated wellness/health score in patients with rheumatoid arthritis. BMC Rheumatol 2021; 5:55. [PMID: 34933686 PMCID: PMC8693488 DOI: 10.1186/s41927-021-00227-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 08/24/2021] [Indexed: 01/03/2023] Open
Abstract
Objective To study the relationship of self-rated wellness/health and lifestyle in patients with rheumatoid arthritis. Methods Self-rated wellness/health, demographics, smoking, mood, sleep, physical activity, diet, symptoms/signs, body mass index and laboratory findings in 142 patients with rheumatoid arthritis were collected in the current cross-sectional study. Multivariable generalized additive model (GAM) was employed to study the association of self-rated wellness/health score and lifestyle factors. Results Female/male ratio was 116/26 and the mean (SD) age of sample was 52 (13) years. Mean (SD) self-rated wellness/health score out of 10 was 7.2 (1.63). Mean (SD) number of tender joints and swollen joints were 4.42 (4.55) and 4.00 (4.26), respectively. The mean sleep score was 29.5 out of 70. Patients went to bed more than one hour earlier during the weekdays compared to weekends (22:45 vs. 23:52 PM, respectively, p < 0.0001). They also woke up more than one hour earlier during the weekdays compared to the weekends (6:08 vs. 7:20 AM, respectively, p < 0.0001). Their nap duration during weekdays was about half an hour shorter than the nap duration on weekends (19.75 vs. 48.02 minutes, respectively, p < 0.0001). The mean mood and diet scores were 18.5/35 and 22.5/42, respectively. By backward elimination in multivariable regression model (GAM), disease duration, mood, sleep quality, weekdays sleep characteristics (sleep duration, time to go to bed, wake-up time, time to fall asleep and nap duration), and sleep duration on weekends remained in the final model (R2 = 0.225, p = 0.01). Sleep quality, nap duration on weekdays, night sleep duration on weekends and mood status were the significant variables associated with self-rated wellness/health score. Conclusion In patients with rheumatoid arthritis, the low self-rated wellness/health score was associated with the low sleep quality, long sleep duration on weekends, and long nap duration on weekdays.
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9
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Marino M, Puppo F, Del Bo’ C, Vinelli V, Riso P, Porrini M, Martini D. A Systematic Review of Worldwide Consumption of Ultra-Processed Foods: Findings and Criticisms. Nutrients 2021; 13:2778. [PMID: 34444936 PMCID: PMC8398521 DOI: 10.3390/nu13082778] [Citation(s) in RCA: 119] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/09/2021] [Accepted: 08/11/2021] [Indexed: 02/06/2023] Open
Abstract
A debate is ongoing on the significance and appropriateness of the NOVA classification as a tool for categorizing foods based on their degree of processing. As such, the role of ultra-processed food (UPF) on human health is still not completely understood. With this review, we aimed to investigate the actual level of consumption of UPF across countries and target populations to determine the impact in real contexts. Suitable articles published up to March 2021 were sourced through the PubMed and SCOPUS databases. Overall, 99 studies providing data on the level of UPF consumption expressed as the percentage of total energy intake were identified, for a total of 1,378,454 participants. Most of them were published in Brazil (n = 38) and the United States (n = 15), and the 24 h recall was the most-used tool (n = 63). Analysis of the results revealed that the United States and the United Kingdom were the countries with the highest percent energy intake from UPF (generally >50%), whereas Italy had the lowest levels (about 10%); the latter was inversely associated with adherence to the Mediterranean diet. High variability was also observed based on sex, age, and body mass index, with men, young people, and overweight/obese subjects generally having higher levels of consumption compared to older subjects. Overall, our findings underline the large differences in UPF intake. Since most of the observations derived from studies conducted with food questionnaires are not specifically validated for UPF, further efforts are essential to confirm the results previously obtained and to investigate further the association between UPF consumption and health status, also considering the actual contribution within different dietary patterns, which has been less investigated to date.
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Affiliation(s)
| | | | - Cristian Del Bo’
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università degli Studi di Milano, 20123 Milan, Italy; (M.M.); (F.P.); (V.V.); (P.R.); (M.P.); (D.M.)
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10
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Martinez-Perez C, San-Cristobal R, Guallar-Castillon P, Martínez-González MÁ, Salas-Salvadó J, Corella D, Castañer O, Martinez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Sánchez VM, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Vázquez C, Ros E, Bes-Rastrollo M, Babio N, Sorlí JV, Lassale C, Pérez-Sanz B, Vaquero-Luna J, Bazán MJA, Barceló-Iglesias MC, Konieczna J, Ríos AG, Bernal-López MR, Santos-Lozano JM, Toledo E, Becerra-Tomás N, Portoles O, Zomeño MD, Abete I, Moreno-Rodriguez A, Lecea-Juarez O, Nishi SK, Muñoz-Martínez J, Ordovás JM, Daimiel L. Use of Different Food Classification Systems to Assess the Association between Ultra-Processed Food Consumption and Cardiometabolic Health in an Elderly Population with Metabolic Syndrome (PREDIMED-Plus Cohort). Nutrients 2021; 13:nu13072471. [PMID: 34371982 PMCID: PMC8308804 DOI: 10.3390/nu13072471] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 07/07/2021] [Accepted: 07/13/2021] [Indexed: 01/12/2023] Open
Abstract
The association between ultra-processed food (UPF) and risk of cardiometabolic disorders is an ongoing concern. Different food processing-based classification systems have originated discrepancies in the conclusions among studies. To test whether the association between UPF consumption and cardiometabolic markers changes with the classification system, we used baseline data from 5636 participants (48.5% female and 51.5% male, mean age 65.1 ± 4.9) of the PREDIMED-Plus (“PREvention with MEDiterranean DIet”) trial. Subjects presented with overweight or obesity and met at least three metabolic syndrome (MetS) criteria. Food consumption was classified using a 143-item food frequency questionnaire according to four food processing-based classifications: NOVA, International Agency for Research on Cancer (IARC), International Food Information Council (IFIC) and University of North Carolina (UNC). Mean changes in nutritional and cardiometabolic markers were assessed according to quintiles of UPF consumption for each system. The association between UPF consumption and cardiometabolic markers was assessed using linear regression analysis. The concordance of the different classifications was assessed with intra-class correlation coefficients (ICC3, overall = 0.51). The highest UPF consumption was obtained with the IARC classification (45.9%) and the lowest with NOVA (7.9%). Subjects with high UPF consumption showed a poor dietary profile. We detected a direct association between UPF consumption and BMI (p = 0.001) when using the NOVA system, and with systolic (p = 0.018) and diastolic (p = 0.042) blood pressure when using the UNC system. Food classification methodologies markedly influenced the association between UPF consumption and cardiometabolic risk markers.
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Affiliation(s)
- Celia Martinez-Perez
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (C.M.-P.); (J.M.O.); (L.D.)
| | - Rodrigo San-Cristobal
- Cardiometabolic Nutrition Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
- Correspondence: ; Tel.: +34-917-278-100 (ext. 309)
| | - Pilar Guallar-Castillon
- Cardiovascular and Nutritional Epidemiology Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid—IdiPaz Hospital, 28046 Madrid, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (V.M.S.); (J.J.G.)
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31009 Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain;
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (M.D.Z.); (J.M.-M.)
| | - Jose Alfredo Martinez
- Cardiometabolic Nutrition Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31009 Pamplona, Spain;
| | - Ángel M. Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Nursing, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29016 Málaga, Spain;
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (V.M.S.); (J.J.G.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), 03010 Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14071 Córdoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08007 Barcelona, Spain
| | - Francisco J. Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29016 Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Lluis Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Service of Preventive Medicine, Complejo Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canary Health Service, 35001 Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (V.M.S.); (J.J.G.)
- Department of Preventive Medicine and Public Health, University of Granada, 18011 Granada, Spain
| | - Josep A. Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS & IDISBA, 07122 Palma de Mallorca, Spain
| | - Vicente Martín Sánchez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (V.M.S.); (J.J.G.)
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - José J. Gaforio
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (V.M.S.); (J.J.G.)
- Departamento de Ciencias de la Salud, Centro de Estudios Avanzados en Olivar y Aceites de Oliva, Universidad de Jaén, 23071 Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain;
| | - Josep Vidal
- Biomedical Research Centre for Diabetes and Metabolic Diseases Network (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain;
- Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, 08007 Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Endocrinology and Nutrition, Hospital Fundación Jiménez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autónoma, 28015 Madrid, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, 08007 Barcelona, Spain
| | - Maira Bes-Rastrollo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31009 Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain;
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Jose V. Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Camille Lassale
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (M.D.Z.); (J.M.-M.)
| | - Beatriz Pérez-Sanz
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31009 Pamplona, Spain;
| | - Jessica Vaquero-Luna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - María Julia Ajejas Bazán
- Department of Nursing, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29016 Málaga, Spain;
- Department of Nursing, Faculty of Nursing, Physiotherapy and Podiatry, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | | | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
| | - Antonio García Ríos
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14071 Córdoba, Spain
| | - María Rosa Bernal-López
- Internal Medicine Department, Instituto de Investigación Biomédica de Málaga (IBIMA), Regional University Hospital of Malaga, 29010 Malaga, Spain;
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31009 Pamplona, Spain
| | - Nerea Becerra-Tomás
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain;
- Human Nutrition Unit, Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Portoles
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - María Dolores Zomeño
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (M.D.Z.); (J.M.-M.)
- School of Health Sciences, Blanquerna-Ramon Llull University, 08001 Barcelona, Spain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31009 Pamplona, Spain;
| | - Anai Moreno-Rodriguez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (M.B.-R.); (N.B.); (J.V.S.); (C.L.); (J.V.-L.); (J.K.); (A.G.R.); (J.M.S.-L.); (E.T.); (N.B.-T.); (O.P.); (I.A.); (A.M.-R.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Oscar Lecea-Juarez
- Atención Primaria, Osasunbidea, Servicio Navarro de Salud, 31003 Pamplona, Spain;
| | - Stephanie K. Nishi
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain;
| | - Júlia Muñoz-Martínez
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (M.D.Z.); (J.M.-M.)
| | - José M. Ordovás
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (C.M.-P.); (J.M.O.); (L.D.)
- Nutrition and Genomics Laboratory, JM_USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02155, USA
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (C.M.-P.); (J.M.O.); (L.D.)
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Martínez Leo EE, Peñafiel AM, Hernández Escalante VM, Cabrera Araujo ZM. Ultra-processed diet, systemic oxidative stress, and breach of immunologic tolerance. Nutrition 2021; 91-92:111419. [PMID: 34399404 DOI: 10.1016/j.nut.2021.111419] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 06/24/2021] [Accepted: 07/13/2021] [Indexed: 12/28/2022]
Abstract
In recent years, consumption of ultra-processed food around the world has been increasing. The nutritional profile of an ultra-processed diet is associated with the development of cellular alterations that lead to oxidative stress. The chronic prooxidative state leads to an environment that influences the proliferation, apoptosis, and signaling pathways of immune cells. Likewise, the decrease in the transcription factor NRF2, owing to exacerbated production of reactive oxygen species, leads to changes in immune function and response to infections. This review aims to analyze the connection between an ultra-processed diet, systemic oxidative stress, and immune tolerance, as a contribution to the scientific evidence on the impact of oxidative stress on health and the possible risk of infections-an important consideration in the association of eating pattern and the immune response.
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Affiliation(s)
- Edwin E Martínez Leo
- Research Department, University Latino, Merida, Mexico; School of Medicine, Autonomous University of Yucatan, Merida, Mexico.
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Ultra-processed foods, changes in blood pressure and incidence of hypertension: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Public Health Nutr 2021; 24:3352-3360. [DOI: 10.1017/s136898002100094x] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AbstractObjective:To estimate changes in blood pressure and the incidence of hypertension associated with consumption of ultra-processed foods (UPF) by Brazilian civil servants at a 4-year follow-up.Design:Longitudinal analysis of the ELSA-Brasil with non-hypertensive individuals at baseline. We applied the FFQ at the baseline and categorised energy intake by degree of processing, using the NOVA classification. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured at baseline (2008–2010) and again at first follow-up (2012–2014). Incidence of arterial hypertension was defined as SBP ≥ 140 mmHg or DBP ≥ 90 mmHg or antihypertensive medication during the previous 2 weeks. A mixed-effect linear regression model and mixed-effect logistic regression model were used to estimate associations between UPF consumption and, respectively, changes in blood pressure and incidence of hypertension.Setting:Brazil.Participants:Civil servants of Brazilian public academic institutions in six cities (n 8754), aged 35–74 years at baseline (2008–2010).Results:UPF consumption contributed 25·2 % (sd = 9·6) of total energies consumed. After adjustment, participants with high UPF consumption presented a 23 % greater risk of developing hypertension (OR = 1·23, 95 % CI 1·06, 1·44) than those with low UPF consumption. We did not find association between UPF consumption and changes in blood pressure over time.Conclusions:The higher the UPF consumption, the higher the risk of hypertension in adults. Reducing UPF consumption is thus important to promote health and prevent hypertension.
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Lane MM, Davis JA, Beattie S, Gómez-Donoso C, Loughman A, O'Neil A, Jacka F, Berk M, Page R, Marx W, Rocks T. Ultraprocessed food and chronic noncommunicable diseases: A systematic review and meta-analysis of 43 observational studies. Obes Rev 2021; 22:e13146. [PMID: 33167080 DOI: 10.1111/obr.13146] [Citation(s) in RCA: 289] [Impact Index Per Article: 72.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 08/26/2020] [Accepted: 09/03/2020] [Indexed: 12/22/2022]
Abstract
This systematic review and meta-analysis investigated the association between consumption of ultraprocessed food and noncommunicable disease risk, morbidity and mortality. Forty-three observational studies were included (N = 891,723): 21 cross-sectional, 19 prospective, two case-control and one conducted both a prospective and cross-sectional analysis. Meta-analysis demonstrated consumption of ultraprocessed food was associated with increased risk of overweight (odds ratio: 1.36; 95% confidence interval [CI], 1.23-1.51; P < 0.001), obesity (odds ratio: 1.51; 95% CI, 1.34-1.70; P < 0.001), abdominal obesity (odds ratio: 1.49; 95% CI, 1.34-1.66; P < 0.0001), all-cause mortality (hazard ratio: 1.28; 95% CI, 1.11-1.48; P = 0.001), metabolic syndrome (odds ratio: 1.81; 95% CI, 1.12-2.93; P = 0.015) and depression in adults (hazard ratio: 1.22; 95% CI, 1.16-1.28, P < 0.001) as well as wheezing (odds ratio: 1.40; 95% CI, 1.27-1.55; P < 0.001) but not asthma in adolescents (odds ratio: 1.20; 95% CI, 0.99-1.46; P = 0.065). In addition, consumption of ultraprocessed food was associated with cardiometabolic diseases, frailty, irritable bowel syndrome, functional dyspepsia and cancer (breast and overall) in adults while also being associated with metabolic syndrome in adolescents and dyslipidaemia in children. Although links between ultraprocessed food consumption and some intermediate risk factors in adults were also highlighted, further studies are required to more clearly define associations in children and adolescents. STUDY REGISTRATION: Prospero ID: CRD42020176752.
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Affiliation(s)
- Melissa M Lane
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food and Mood Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia
| | - Jessica A Davis
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food and Mood Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia
| | - Sally Beattie
- The Barwon Centre of Orthopaedic Research and Education (B-CORE), Barwon Health and St John of God Hospital Geelong, Geelong, Victoria, Australia
| | - Clara Gómez-Donoso
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Pamplona, Spain.,CIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, Madrid, Spain
| | - Amy Loughman
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food and Mood Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia
| | - Adrienne O'Neil
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food and Mood Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia
| | - Felice Jacka
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food and Mood Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia.,Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Black Dog Institute, Randwick, New South Wales, Australia.,College of Public Health, Medical & Veterinary Sciences, James Cook University, Townsville, Queensland, Australia
| | - Michael Berk
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food and Mood Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia.,Orygen, The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
| | - Richard Page
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food and Mood Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia.,The Barwon Centre of Orthopaedic Research and Education (B-CORE), Barwon Health and St John of God Hospital Geelong, Geelong, Victoria, Australia.,School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Wolfgang Marx
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food and Mood Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia
| | - Tetyana Rocks
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Food and Mood Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Victoria, Australia
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