Latorre-Millán, MiriamRupérez, Azahara I.González-Gil, Esther M.Santaliestra-Pasías, AlbaVázquez-Cobela, RocíoGil-Campos, MercedesAguilera, Concepción M.Gil, ÁngelMoreno, Luis A.Leis, RosauraBueno, Gloria2022-08-052022-08-052020-11-08Latorre-Millán M, Rupérez AI, González-Gil EM, Santaliestra-Pasías A, Vázquez-Cobela R, Gil-Campos M, et al. Dietary Patterns and Their Association with Body Composition and Cardiometabolic Markers in Children and Adolescents: Genobox Cohort. Nutrients. 2020 Nov 8;12(11):3424http://hdl.handle.net/10668/3884Diet is a key factor for obesity development; however, limited data are available on dietary cluster analysis in children with obesity. We aimed to assess the associations between dietary patterns and obesity and several cardiometabolic markers. Anthropometry, bioelectrical impedance, blood pressure and plasma biomarkers of oxidative stress, inflammation and endothelial damage were determined in 674 Caucasian children, aged 5-16, with normal or excess weight. Using a food frequency questionnaire and cluster analysis, two consistent dietary patterns were shown, labeled as health conscious (HC) and sweet and processed (SP). The HC pattern included a greater proportion of participants with overweight/obesity than the SP cluster (80.1% vs. 63.8%). However, children with obesity within the HC cluster, showed less abdominal fat, through waist to hip (0.93 vs. 0.94) and waist to height (0.61 vs. 0.63) indexes (p < 0.01). Univariate general models showed several additional differences in cardiometabolic risk biomarkers in the global and stratified analyses, with a healthier profile being observed mainly in the HC cluster. However, multivariate models questioned these findings and pointed out the need for further studies in this field. Anyhow, our findings support the benefits of a healthy diet and highlight the importance of dietary patterns in the cardiometabolic risk assessment of children with overweight/obesity, beyond weight control.enAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Cluster analysisObesityDietAnthropometryInflammationOxidative stressCardiovascular diseaseAnálisis por gruposObesidadDietaAntropometríaInflamaciónEstrés oxidativoEnfermedades cardiovascularesConducta alimentariaMedical Subject Headings::Persons::Persons::Age Groups::AdolescentMedical Subject Headings::Chemicals and Drugs::Biological Factors::Biological Markers::Biomarkers, PharmacologicalMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Body Constitution::Body Weights and Measures::Body Mass IndexMedical Subject Headings::Diseases::Cardiovascular DiseasesMedical Subject Headings::Persons::Persons::Age Groups::ChildMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort StudiesMedical Subject Headings::Check Tags::FemaleMedical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::HumansMedical Subject Headings::Check Tags::MaleMedical Subject Headings::Diseases::Nutritional and Metabolic Diseases::Metabolic DiseasesMedical Subject Headings::Diseases::Nutritional and Metabolic Diseases::Nutrition Disorders::Overnutrition::ObesityMedical Subject Headings::Geographical Locations::Geographic Locations::Europe::SpainMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::QuestionnairesMedical Subject Headings::Phenomena and Processes::Metabolic Phenomena::Body CompositionMedical Subject Headings::Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Feeding BehaviorMedical Subject Headings::Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Feeding BehaviorMedical Subject Headings::Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::DietDietary Patterns and Their Association with Body Composition and Cardiometabolic Markers in Children and Adolescents: Genobox Cohortresearch article33171599open access10.3390/nu121134242072-6643PMC7695147