Literature DB >> 33554676

Lipoprotein(a) and Hyperinsulinemia in Healthy Normal-weight, Prepubertal Mexican Children.

Martha Rodríguez-Moran1, Claudia I Gamboa-Gómez1, Lucia Preza-Rodríguez1,2, Fernando Guerrero-Romero1.   

Abstract

Background. Given the numerous gaps in our knowledge about the biological interactions of lipoprotein(a) [Lp(a)], we determined whether Lp(a) was associated with hyperinsulinemia in healthy normal-weight, prepubertal children.Methods. A total of 131 healthy normal-weight Mexican children aged 6 to 9 years at Tanner stage 1 who were born appropriate for gestational age were enrolled in a case-control study. Children with hyperinsulinemia were allocated into the case group (n = 32), and children with normal insulin levels were allocated into the control group (n = 99). Birth weight, age, and body mass index were matching criteria. Multivariate logistic regression analysis was used to compute the odds ratio (OR) between Lp(a) and both hyperinsulinemia and insulin resistance. Furthermore, a multivariate linear regression analysis was performed to evaluate the association between Lp(a) and both insulin levels and HOMA-IR. Both models were adjusted by sex, age, birth weight, and body mass index.Results. The median (25-75 percentile) serum levels of Lp(a) [20.0 (13.7-29.6) versus 14.6 (10.6-26.7) mg/dL, p = .003] and insulin [24.5 (6.0-30) versus 7.9 (4.3-9.0) µU/L, p < .0005] were higher in the case group than in the control group. The logistic regression analysis showed that Lp(a) was associated with hyperinsulinemia (OR 5.86; 95%CI 2.5-13.6, p < .0005) and insulin resistance (OR 2.01; 95%CI 1.1-9.9, p = .004). In addition, the linear regression analysis showed a significant association between serum Lp(a) and insulin levels (β 11.1; 95%CI 1.8-10.9, p < .0001) and the HOMA-IR index (β 2.606; 95%CI 2.3-2.9, p < .0005).Conclusion. Lp(a) was associated with hyperinsulinemia and insulin resistance in healthy normal-weight, prepubertal children.

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Keywords:  Lipoprotein(a); children; insulin; normal-weight

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Year:  2021        PMID: 33554676     DOI: 10.1080/07435800.2021.1881966

Source DB:  PubMed          Journal:  Endocr Res        ISSN: 0743-5800            Impact factor:   1.720


  2 in total

1.  A Novel Approach of Determining the Risks for the Development of Hyperinsulinemia in the Children and Adolescent Population Using Radial Basis Function and Support Vector Machine Learning Algorithm.

Authors:  Igor Lukić; Nevena Ranković; Nikola Savić; Dragica Ranković; Željko Popov; Ana Vujić; Nevena Folić
Journal:  Healthcare (Basel)       Date:  2022-05-17

2.  Risk Assessment and Determination of Factors That Cause the Development of Hyperinsulinemia in School-Age Adolescents.

Authors:  Igor Lukic; Nikola Savic; Maja Simic; Nevena Rankovic; Dragica Rankovic; Ljubomir Lazic
Journal:  Medicina (Kaunas)       Date:  2021-12-22       Impact factor: 2.430

  2 in total

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