000161897 001__ 161897
000161897 005__ 20251017144631.0
000161897 0247_ $$2doi$$a10.1007/s00431-023-05389-z
000161897 0248_ $$2sideral$$a144508
000161897 037__ $$aART-2024-144508
000161897 041__ $$aeng
000161897 100__ $$aGarcidueñas-Fimbres, Tany E.
000161897 245__ $$aAdherence to a healthy lifestyle behavior composite score and cardiometabolic risk factors in Spanish children from the CORALS cohort
000161897 260__ $$c2024
000161897 5060_ $$aAccess copy available to the general public$$fUnrestricted
000161897 5203_ $$aTo assess the associations between the adherence to a composite score comprised of 6 healthy lifestyle behaviors and its individual components with several cardiometabolic risk factors in Spanish preschool children. Cross-sectional analyses were conducted in 938 participants included in the CORALS cohort aged 3–6 years. Six recognized healthy lifestyle behaviors (breastfeeding, sleep duration, physical activity, screentime, adherence to the Mediterranean diet, and eating speed) were assessed in a composite score. Multiple linear and logistic regression models were fitted to assess the associations with cardiometabolic risk factors (weight status, waist circumference, fat mass index, blood pressure, fasting plasma glucose, and lipid profile). In the adjusted multiple linear and logistic regression models, compared with the reference category of adherence to the healthy lifestyle behavior composite score, those participants in the category of the highest adherence showed significant decreased prevalence risk of overweight or obesity [OR (95% CI), 0.4 (0.2, 0.6)] as well as significant lower waist circumference, fat mass index (FMI), systolic blood pressure and fasting plasma glucose concentration [β (95% CI), − 1.4 cm (− 2.5, − 0.4); − 0.3 kg/m2 (− 0.5, − 0.1); and − 3.0 mmHg (− 5.2, − 0.9); − 1.9 mg/dL (− 3.5, − 0.4), respectively]. Slow eating speed was individually associated with most of the cardiometabolic risk factors. Conclusions: Higher adherence to the healthy lifestyle behavior composite score was associated with lower waist circumference, FMI, other cardiometabolic risk factors, and risk of overweight or obesity in Spanish preschool children. Further studies are required to confirm these associations.
To assess the associations between the adherence to a composite score comprised of 6 healthy lifestyle behaviors and its individual components with several cardiometabolic risk factors in Spanish preschool children. Cross-sectional analyses were conducted in 938 participants included in the CORALS cohort aged 3–6 years. Six recognized healthy lifestyle behaviors (breastfeeding, sleep duration, physical activity, screentime, adherence to the Mediterranean diet, and eating speed) were assessed in a composite score. Multiple linear and logistic regression models were fitted to assess the associations with cardiometabolic risk factors (weight status, waist circumference, fat mass index, blood pressure, fasting plasma glucose, and lipid profile). In the adjusted multiple linear and logistic regression models, compared with the reference category of adherence to the healthy lifestyle behavior composite score, those participants in the category of the highest adherence showed significant decreased prevalence risk of overweight or obesity [OR (95% CI), 0.4 (0.2, 0.6)] as well as significant lower waist circumference, fat mass index (FMI), systolic blood pressure and fasting plasma glucose concentration [β (95% CI), − 1.4 cm (− 2.5, − 0.4); − 0.3 kg/m2 (− 0.5, − 0.1); and − 3.0 mmHg (− 5.2, − 0.9); − 1.9 mg/dL (− 3.5, − 0.4), respectively]. Slow eating speed was individually associated with most of the cardiometabolic risk factors.
Conclusions: Higher adherence to the healthy lifestyle behavior composite score was associated with lower waist circumference, FMI, other cardiometabolic risk factors, and risk of overweight or obesity in Spanish preschool children. Further studies are required to confirm these associations.
000161897 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000161897 590__ $$a2.6$$b2024
000161897 592__ $$a0.934$$b2024
000161897 591__ $$aPEDIATRICS$$b36 / 191 = 0.188$$c2024$$dQ1$$eT1
000161897 593__ $$aPediatrics, Perinatology and Child Health$$c2024$$dQ1
000161897 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000161897 700__ $$aGómez-Martínez, Carlos
000161897 700__ $$aPascual-Compte, Maria
000161897 700__ $$aJurado-Castro, Jose Manuel
000161897 700__ $$aLeis, Rosaura
000161897 700__ $$0(orcid)0000-0003-0454-653X$$aMoreno, Luis A.$$uUniversidad de Zaragoza
000161897 700__ $$aNavas-Carretero, Santiago
000161897 700__ $$aCodoñer-Franch, Pilar
000161897 700__ $$aEcheverria, Ana Moreira
000161897 700__ $$aPastor-Villaescusa, Belén
000161897 700__ $$aLópez-Rubio, Alicia
000161897 700__ $$aGarcía, Sara Moroño
000161897 700__ $$0(orcid)0000-0001-6173-5850$$aDe Miguel-Etayo, Pilar$$uUniversidad de Zaragoza
000161897 700__ $$aMartínez, J. Alfredo
000161897 700__ $$aAguayo, Inmaculada Velasco
000161897 700__ $$aVázquez-Cobela, Rocío
000161897 700__ $$aEscribano, Joaquín
000161897 700__ $$aMiguel-Berges, María Luisa
000161897 700__ $$aDe La Torre-Aguilar, María José
000161897 700__ $$aGil-Campos, Mercedes
000161897 700__ $$aSalas-Salvadó, Jordi
000161897 700__ $$aBabio, Nancy
000161897 7102_ $$11006$$2255$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Enfermería
000161897 7102_ $$11011$$2615$$aUniversidad de Zaragoza$$bDpto. Microb.Ped.Radio.Sal.Pú.$$cÁrea Medic.Prevent.Salud Públ.
000161897 773__ $$g183, 4 (2024), 1819-1830$$pEur. j. pediatr.$$tEuropean Journal of Pediatrics$$x0340-6199
000161897 8564_ $$s1653536$$uhttps://zaguan.unizar.es/record/161897/files/texto_completo.pdf$$yVersión publicada
000161897 8564_ $$s2206415$$uhttps://zaguan.unizar.es/record/161897/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000161897 909CO $$ooai:zaguan.unizar.es:161897$$particulos$$pdriver
000161897 951__ $$a2025-10-17-14:26:35
000161897 980__ $$aARTICLE