Evidence map›Paper›PMID 39504618›Full record

Observational studyThe journal of nutrition, health & aging2024

Breakfast energy intake and dietary quality and trajectories of cardiometabolic risk factors in older adults.

Karla-Alejandra Pérez-Vega, Camille Lassale, María-Dolores Zomeño, Olga Castañer, Jordi Salas-Salvadó, F Javier Basterra-Gortari, Dolores Corella, Ramón Estruch, Emilio Ros, Francisco J Tinahones and 6 more

Abstract readObservational Study
In one paragraph

Observational study in The journal of nutrition, health & aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Karla-Alejandra Pérez-VegaHospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; PhD Program in Food Science and Nutrition, Universitat de Barcelona, Campus Diagonal, Avinguda Joan XXIII 27-31, 08028 Barcelona, Spain.
Camille LassaleHospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Barcelona Institute for Global Health (ISGlobal), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Carrer Ramon Trias Fargas 25-27, 08005 Barcelona, Spain.
María-Dolores ZomeñoHospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Blanquerna School of Health Sciences, Universitat Ramon Llull, Carrer Padilla 326, 08025 Barcelona, Spain.
Olga CastañerHospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain.
Jordi Salas-SalvadóConsorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquimica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Carrer Sant Llorenç 21, 43201 Reus, Spain; Institut d'Investigació Pere Virgili, Carrer Sant Llorenç 21, 43201 Reus, Spain.
F Javier Basterra-GortariUniversity of Navarra, Department of Preventive Medicine and Public Health, IdiSNA, Calle Irunlarrea 1, 31008 Pamplona, Spain; Department of Endocrinology and Nutrition, Hospital Universitario de Navarra, IdiSNA, Universidad Pública de Navarra, Calle Irunlarrea 3, 31008 Pamplona, Spain.
Dolores CorellaConsorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Department of Preventive Medicine, Universidad de Valencia, Avinguda Vicent Andrés Estellés s/n, 46100 Valencia, Spain.
Ramón EstruchConsorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Internal Medicine Service, Hospital Clinic, Carrer Villarroel 170, 08036 Barcelona, Spain; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Carrer Rosselló 149, 08036 Barcelona, Spain.
Emilio RosConsorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Carrer Rosselló 149, 08036 Barcelona, Spain.
Francisco J TinahonesConsorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Biomedical Research Institute of Málaga, University of Málaga, Campus de Teatinos s/n, 29010 Málaga, Spain.
Gemma BlanchartHospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain.
Mireia MalcampoHospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain.
Daniel Muñoz-AguayoHospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain.
Helmut SchröderHospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain.
Montserrat FitóHospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain.
Álvaro HernáezHospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Blanquerna School of Health Sciences, Universitat Ramon Llull, Carrer Padilla 326, 08025 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain. Electronic address: ahernaez@researchmar.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNot 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.

designProspective observational exploratory study with repeated measurements.

settingSpanish older adults.

participants383 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.

resultsAt 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/1.73m

conclusionsLow- 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.

Indexed as

BreakfastCardiometabolic Risk FactorsEnergy IntakeAgedBlood PressureCardiovascular DiseasesDietDiet, MediterraneanFemaleHumansMaleMetabolic SyndromeMiddle AgedProspective StudiesSpainBody mass indexBreakfastGlomerular filtration rateHDL cholesterolTriglyceridesWaist circumference

Identifiers

PMID39504618
PMCPMC12877257

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.