Resum
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.
Idioma original | Anglès |
---|---|
Pàgines (de-a) | 12-23 |
Nombre de pàgines | 12 |
Revista | Atherosclerosis |
Volum | 377 |
DOIs | |
Estat de la publicació | Publicada - de jul. 2023 |
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In: Atherosclerosis, Vol. 377, 07.2023, pàg. 12-23.
Producció científica: Article en revista indexada › Article › Avaluat per experts
TY - JOUR
T1 - Increased ultra-processed food consumption is associated with worsening of cardiometabolic risk factors in adults with metabolic syndrome
T2 - Longitudinal analysis from a randomized trial
AU - the PREDIMED-PLUS Trial investigators
AU - González-Palacios, Sandra
AU - Oncina-Cánovas, Alejandro
AU - García-de-la-Hera, Manuela
AU - Martínez-González, Miguel Ángel
AU - Salas-Salvadó, Jordi
AU - Corella, Dolores
AU - Schröder, Helmut
AU - Martínez, J. Alfredo
AU - Alonso-Gómez, Ángel M.
AU - Wärnberg, Julia
AU - Romaguera, Dora
AU - López-Miranda, José
AU - Estruch, Ramon
AU - Tinahones, Francisco J.
AU - Lapetra, José
AU - Serra-Majem, J. Luís
AU - Cano-Ibañez, Naomi
AU - Tur, Josep A.
AU - Martín-Sánchez, Vicente
AU - Pintó, Xavier
AU - Delgado-Rodríguez, Miguel
AU - Matía-Martín, Pilar
AU - Vidal, Josep
AU - Vázquez, Clotilde
AU - Daimiel, Lidia
AU - Ros, Emili
AU - Bes-Rastrollo, Maira
AU - Atzeni, Alessandro
AU - Sorli, Jose V.
AU - Zomeño, M. Dolors
AU - Peña-Orihuela, Patricia J.
AU - Compañ-Gabucio, Laura M.
AU - Barón-López, Francisco J.
AU - Zulet, María Ángeles
AU - Konieczna, Jadwiga
AU - Casas, Rosa M.
AU - Garrido-Garrido, Eva M.
AU - Tojal-Sierra, Lucas
AU - Gomez-Perez, Ana M.
AU - Ruiz-Canela, Miguel
AU - Palau, Antoni
AU - Saiz, Carmen
AU - Pérez-Vega, Karla A.
AU - Garcia-Rios, Antonio
AU - Torres-Collado, Laura
AU - Basterra-Gortari, Javier
AU - Garcidueñas-Fimbres, Tany E.
AU - Malcampo, Mireia
AU - Vioque, Jesús
N1 - Funding Information: This work was supported by the official Spanish Institutions for funding scientific biomedical research, CIBER Fisiopatología de la Obesidad y Nutrición ( CIBEROBN ) and Instituto de Salud Carlos III ( ISCIII ), through the Fondo de Investigación para la Salud (FIS), which is co-funded by the European Regional Development Fund (six coordinated FIS projects leaded by JS-S and JVi, including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926, PI19/00957, PI19/00386, PI19/00309, PI19/01032, PI19/00576, PI19/00017, PI19/01226, PI19/00781, PI19/01560, PI19/01332, PI20/01802, PI20/00138, PI20/01532, PI20/00456, PI20/00339, PI20/00557, PI20/00886, PI20/01158); the Especial Action Project entitled: Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED-Plus grant to JS-S; the European Research Council (Advanced Research Grant 2014–2019; agreement #340918) granted to MÁM-G.; the Recercaixa (number 2013ACUP00194) grant to JS-S; grants from the Consejería de Salud de la Junta de Andalucía (PI0458/2013, PS0358/2016, PI0137/2018); the PROMETEO/2017/017 grant from the Generalitat Valenciana; the AICO/2021/347 grant from the Generalitat Valenciana , the SEMERGEN grant, funds provided by Ministerio de Ciencia e Investigación through grants from PROYECTOS DE I + D + I « RETOS INVESTIGACIÓN» (RTI2018-095569-B-I00 and RTI2018-098113-B-I00) and «PROGRAMACIÓN CONJUNTA INTERNACIONAL» (PCI2018-093009) granted to LD. Juan de la Cierva-Incorporación research grant (IJC2019-042420-I) of the Spanish Ministryof Economy, Industry and Competitiveness and European SocialFunds to JK; PROMETEO 21/2021 from the Generalitat Valenciana .to DC . None of the funding sources took part in the design, collection, analysis, interpretation of the data, or writing the report, or in the decision to submit the manuscript for publication. Funding Information: This work was supported by the official Spanish Institutions for funding scientific biomedical research, CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN) and Instituto de Salud Carlos III (ISCIII), through the Fondo de Investigación para la Salud (FIS), which is co-funded by the European Regional Development Fund (six coordinated FIS projects leaded by JS-S and JVi, including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926, PI19/00957, PI19/00386, PI19/00309, PI19/01032, PI19/00576, PI19/00017, PI19/01226, PI19/00781, PI19/01560, PI19/01332, PI20/01802, PI20/00138, PI20/01532, PI20/00456, PI20/00339, PI20/00557, PI20/00886, PI20/01158); the Especial Action Project entitled: Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED-Plus grant to JS-S; the European Research Council (Advanced Research Grant 2014–2019; agreement #340918) granted to MÁM-G.; the Recercaixa (number 2013ACUP00194) grant to JS-S; grants from the Consejería de Salud de la Junta de Andalucía (PI0458/2013, PS0358/2016, PI0137/2018); the PROMETEO/2017/017 grant from the Generalitat Valenciana; the AICO/2021/347 grant from the Generalitat Valenciana, the SEMERGEN grant, funds provided by Ministerio de Ciencia e Investigación through grants from PROYECTOS DE I + D + I « RETOS INVESTIGACIÓN» (RTI2018-095569-B-I00 and RTI2018-098113-B-I00) and «PROGRAMACIÓN CONJUNTA INTERNACIONAL» (PCI2018-093009) granted to LD. Juan de la Cierva-Incorporación research grant (IJC2019-042420-I) of the Spanish Ministryof Economy, Industry and Competitiveness and European SocialFunds to JK; PROMETEO 21/2021 from the Generalitat Valenciana.to DC. None of the funding sources took part in the design, collection, analysis, interpretation of the data, or writing the report, or in the decision to submit the manuscript for publication.Jordi Salas-salvadó reported receiving research support from the Instituto de Salud Carlos III, Ministerio de Educación y Ciencia, Departament de Salut Pública de la Generalitat de Catalunya, the European Commission, the USA National Institutes of Health; receiving consulting fees or travel expenses from Eroski Foundation, Instituto Danone, Mundipharma, receiving non-financial support from Hojiblanca, Patrimonio Comunal Olivarero, the Almond Board of California, Pistachio Growers and Borges S.A.; serving on the board of and receiving grant support through his institution from the International Nut and Dried Foundation and the Eroski Foundation; and personal fees from Instituto Danone; Serving in the Scientific Board of Danone Institute International. Ramón Estruch reports grants from Fundación Dieta Mediterránea, Spain and Cerveza y Salud, Spain. Also, personal fees for given lectures from Brewers of Europe, Belgium, Fundación Cerveza y Salud, Spain, Instituto Cervantes, Alburquerque, USA; Instituto Cervantes, Milan, Italy, Lilly Laboratories, Spain, and Wine and Culinary International Forum, Spain, and non-financial support to organize a National Congress on Nutrition. Also feeding trials with product from Grand Fountain and Uriach Laboratories, Spain. Emili Ros reports grants, personal fees, non-financial support, and other from California Walnut Commission, during the conduct of the study; grants, personal fees, nonfinancial support, and other from Alexion; personal fees and other from Amarin, outside the submitted work. Funding Information: Jordi Salas-salvadó reported receiving research support from the Instituto de Salud Carlos III , Ministerio de Educación y Ciencia, Departament de Salut Pública de la Generalitat de Catalunya , the European Commission , the USA National Institutes of Health; receiving consulting fees or travel expenses from Eroski Foundation , Instituto Danone , Mundipharma, receiving non-financial support from Hojiblanca, Patrimonio Comunal Olivarero, the Almond Board of California , Pistachio Growers and Borges S.A.; serving on the board of and receiving grant support through his institution from the International Nut and Dried Foundation and the Eroski Foundation; and personal fees from Instituto Danone; Serving in the Scientific Board of Danone Institute International. Ramón Estruch reports grants from Fundación Dieta Mediterránea, Spain and Cerveza y Salud, Spain. Also, personal fees for given lectures from Brewers of Europe, Belgium, Fundación Cerveza y Salud, Spain, Instituto Cervantes, Alburquerque, USA; Instituto Cervantes, Milan, Italy, Lilly Laboratories, Spain, and Wine and Culinary International Forum, Spain, and non-financial support to organize a National Congress on Nutrition. Also feeding trials with product from Grand Fountain and Uriach Laboratories, Spain. Emili Ros reports grants, personal fees, non-financial support, and other from California Walnut Commission , during the conduct of the study; grants, personal fees, nonfinancial support, and other from Alexion; personal fees and other from Amarin , outside the submitted work. Publisher Copyright: © 2023 The Authors
PY - 2023/7
Y1 - 2023/7
N2 - 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.
AB - 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.
KW - Blood pressure
KW - Body mass index
KW - Cardiometabolic risk factors
KW - Fasting blood glucose
KW - Metabolic syndrome
KW - Ultra-processed foods
UR - http://www.scopus.com/inward/record.url?scp=85162244025&partnerID=8YFLogxK
U2 - 10.1016/j.atherosclerosis.2023.05.022
DO - 10.1016/j.atherosclerosis.2023.05.022
M3 - Article
AN - SCOPUS:85162244025
SN - 0021-9150
VL - 377
SP - 12
EP - 23
JO - Atherosclerosis
JF - Atherosclerosis
ER -