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dc.contributorUniversitat Ramon Llull. Facultat de Ciències de la Salut Blanquerna
dc.contributor.authorPérez-Vega, Karla Alejandra
dc.contributor.authorLassale, Camille
dc.contributor.authorZomeño, Dolors
dc.contributor.authorCastañer, Olga
dc.contributor.authorSalas Salvadó, Jordi
dc.contributor.authorBasterra-Gortari, Francisco Javier
dc.contributor.authorCorella Piquer, Dolores
dc.contributor.authorEstruch Riba, Ramon
dc.contributor.authorRos Rahola, Emilio
dc.contributor.authorTinahones Madueño, Francisco J.
dc.contributor.authorBlanchart, Gemma
dc.contributor.authorMalcampo, Mireia
dc.contributor.authorMuñoz Aguayo, Daniel
dc.contributor.authorSchröder, Helmut
dc.contributor.authorFitó Colomer, Montserrat
dc.contributor.authorHernáez, Álvaro
dc.date.accessioned2025-01-09T19:53:51Z
dc.date.available2025-01-09T19:53:51Z
dc.date.created2024-06
dc.date.issued2024-12
dc.identifier.urihttp://hdl.handle.net/20.500.14342/4714
dc.description.abstractObjectives Not skipping breakfast is associated with a better overall diet quality and lower cardiometabolic risk. However, the impact of calorie intake and dietary quality of breakfast on cardiovascular health remains unexplored. We aimed to study the associations between breakfast energy intake and quality and time trajectories of cardiometabolic traits in high cardiovascular risk participants. Design Prospective observational exploratory study with repeated measurements. Setting Spanish older adults. Participants 383 participants aged 55–75 with metabolic syndrome from PREDIMED-Plus, a clinical trial involving a weight-loss lifestyle intervention based on the Mediterranean diet. Measurements Participants were followed for 36 months. Longitudinal averages of breakfast energy intake and quality were calculated. Three categories were defined for energy intake: 20−30% (reference), <20% (low), and >30% (high). Quality was estimated using the Meal Balance Index; categories were above (reference) or below the median score (low). Natural cubic spline mixed effects regressions described trajectories of cardiometabolic indicators (anthropometry, blood pressure, lipids, glucose, glycated hemoglobin, and kidney function) in breakfast groups. Inter-group differences in predicted values were estimated by linear regressions. Analyses were adjusted for age, sex, PREDIMED-Plus intervention group, education, smoking, physical activity, and total daily kilocalorie intake. Lipid profile analyses were further adjusted for baseline hypercholesterolemia, blood pressure analyses for baseline hypertension, and glucose/glycated hemoglobin analyses for baseline diabetes. Breakfast energy intake analyses were adjusted for breakfast quality, and vice versa. Results At 36 months, compared to the reference, low- or high-energy breakfasts were associated with differences in body mass index (low: 0.61 kg/m² [95% confidence interval: 0.19; 1.02]; high: 1.18 kg/m² [0.71; 1.65]), waist circumference (low: 2.22 cm [0.96; 3.48]; high: 4.57 cm [3.13; 6.01]), triglycerides (low: 13.8 mg/dL [10.8; 16.8]; high: 28.1 cm [24.7; 31.6]), and HDL cholesterol (low: −2.13 mg/dL [−3.41; −0.85]; high: −4.56 mg/dL [−6.04; −3.09]). At 36 months, low-quality breakfast was associated with higher waist circumference (1.50 cm [0.53; 2.46]), and triglycerides (5.81 mg/dL [3.50; 8.12]) and less HDL cholesterol (−1.66 mg/dL [−2.63; −0.69]) and estimated glomerular filtration rate (−1.22 mL/min/1.73m2 [−2.02; −0.41]). Conclusions Low- or high-energy and low-quality breakfasts were associated with higher adiposity and triglycerides, and lower HDL cholesterol in high-risk older adults. Low-quality breakfasts were also linked to poorer kidney function.ca
dc.format.extent10 p.ca
dc.language.isoengca
dc.publisherElsevierca
dc.relation.ispartofThe Journal of nutrition, health and aging, 2024, 28(12): 100406ca
dc.rights© L'autor/aca
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.otherEsmorzarsca
dc.subject.otherÍndex de masa corporalca
dc.subject.otherCircumferència de cinturaca
dc.subject.otherAbdomen -- Mesuramentca
dc.subject.otherTriglicèridsca
dc.subject.otherLipoproteïnes de densitat altaca
dc.subject.otherColesterolca
dc.subject.otherTaxa de filtració glomerularca
dc.titleBreakfast energy intake and dietary quality and trajectories of cardiometabolic risk factors in older adultsca
dc.typeinfo:eu-repo/semantics/articleca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.identifier.doihttp://doi.org/10.1016/j.jnha.2024.100406ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/ISCIII/IFI20/00002ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/ISCIII/PI19/00017ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/ISCIII/PI15/00047ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/ISCIII/PI18/00020ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/ISCIII/PI16/00533ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/ISCIII/PI13/00233ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/ISCIII/PI21/00024ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/ISCIII/PI20/00012ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/ISCIII/CP21/00097ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/EU/ERC/grant number #340918ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/SUR del DEC/SGR/2021 SGR 00144ca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca


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