Browsing by Author "Pacheco, M."

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    ASSOCIATION BETWEEN PERINATAL FACTORS AND COMPONENTS OF THE METABOLIC SYNDROME AND INSULIN RESISTANCE IN CHILDREN OF PUENTE ALTO, SANTIAGO, CHILE
    (2013) Mardones, Francisco; Pacheco, M.; Dominguez, Angélica; Villarroel del Pino, Luis A.; Eriksson, J. G.; Arnáiz Gómez, Pilar; Barja Y., Salesa; Castillo Valenzuela, Oscar; Farías Jofré, Marcelo
    Background and objectives: we have previously studied the association of prenatal growth with metabolic syndrome (MS) components, including insulin resistance (IR), in about two thousand Chilean low-income urban school-age children (J Devel Orig Health Dis. 2012; 3(4): 237-244). We aim to ascertain with a higher sample size the influence of the above mentioned variables. Methods: retrospective cohort study linking information on MS and IR in school-age, with perinatal records. 3325 children were enrolled in schools in the district of Puente Alto (Santiago, Chile) during 2009-2011. Anthropometry and blood pressure (BP) were assessed. A blood sample for determination of glycemia, insulinemia (quimioluminiscence) and blood lipids was taken; HOMA was calculated and a national standard was applied to select HOMA-IR cases. Cook et al standard was used to define MS. We used Pearson correlation, chi-square test and logistic regression step-by-step. Linear and quadratic associations were tested with Poisson regression. Results: 3290 children had complete information at birth (98.9%) 52.01% women; aged 11.4 + 1 years. The prevalence of MS and IR was 7.26% and 25.47%, respectively. Logistic regression analysis showed an inverse association between birth length (BL), gestational age and birth weight (BW) with most dependent variables studied. However BW showed a direct association with the majority of the dependent variables studied. The waist circumference > 90th percentile, BP > 90th percentile and triglycerides > 110 mg/dl were associated with U-shaped BW, BL and ponderal index, respectively. Conclusions: In this new study we could demonstrate a higher number of U-shaped associations with perinatal variables. New studies with higher sample sizes would permit to show this kind of associations and improve our understanding of the early origins of metabolic diseases.