Evidence map›Paper›PMID 41683355›Full record

ArticleNutrients2026

Dietary Behavior Clustering and Cardiovascular Risk Markers in a Large Population Cohort.

Mauro Lombardo, Giovanni Aulisa, Fares M S Muthanna, Sercan Karav, Sara Baldelli, Gianluca Tripodi, Gilda Aiello

Abstract read
In one paragraph

Article in Nutrients, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Mauro LombardoDepartment for the Promotion of Human Science and Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, 00166 Rome, Italy.ORCID 0000-0001-7509-5487
Giovanni AulisaDepartment for the Promotion of Human Science and Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, 00166 Rome, Italy.
Fares M S MuthannaPharmacy Department, Faculty of Medicine and Health Sciences, University of Science and Technology-Aden, Alshaab Street, Enmaa City 22003, Yemen.
Sercan KaravDepartment of Molecular Biology and Genetics, Çanakkale Onsekiz Mart University, Canakkale 17000, Türkiye.
Sara BaldelliDepartment for the Promotion of Human Science and Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, 00166 Rome, Italy.ORCID 0000-0001-7003-3172
Gianluca TripodiDepartment for the Promotion of Human Science and Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, 00166 Rome, Italy.ORCID 0000-0002-9079-0047
Gilda AielloDepartment for the Promotion of Human Science and Quality of Life, San Raffaele Open University, Via di Val Cannuta, 247, 00166 Rome, Italy.ORCID 0000-0003-4327-0521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEating habits influence cardiometabolic health alongside traditional dietary measures. However, the links between dietary patterns, body composition, and heart-healthy food preferences remain under-explored in large cohorts.

methodsIn this cross-sectional study, 2461 adults (aged 18 to 75 years) completed an online survey on eating behaviors, food preferences, and lifestyle. Principal component analysis (PCA) of seven behaviors identified dietary profiles. A heart-healthy diet score (range -2 to 10; higher = greater preference for fruit, vegetables, legumes, fish, and less meat/processed meat) was derived from these food preferences. ANOVA and adjusted regressions linked the profiles to BMI, fat mass, waist circumference, and diet score.

resultsFour profiles emerged: structured, social, irregular, and disordered eaters. Structured eaters had the lowest BMI (26.8 ± 5.1 kg/m

conclusionsDietary profiles are associated with body composition and cardioprotective preferences. Behavioral assessment could refine the identification of cardiometabolic risk and personalize nutrition.

Indexed as

Cardiovascular DiseasesDietFeeding BehaviorHeart Disease Risk FactorsAdolescentAdultAgedBody CompositionBody Mass IndexCohort StudiesCross-Sectional StudiesDiet, HealthyFemaleFood PreferencesHumansLife Stylebehavioral nutritionbody compositioncardiometabolic healthdietary habitseating behavior profilesfood choicenutritional assessment

Identifiers

PMID41683355
PMCPMC12899149

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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 OpenQuestion graph.