Evidence map›Paper›PMID 37338691›Full record

ArticleEuropean journal of pediatrics2023

Tracking between cardiovascular-related measures at 4 and 8 years of age in the INMA-Asturias cohort.

Rocío Fernández-Iglesias, Pablo Martinez-Camblor, Ana Fernández-Somoano, Cristina Rodríguez-Dehli, Rafael Venta-Obaya, Margaret R Karagas, Adonina Tardón, Isolina Riaño-Galán

Abstract read
In one paragraph

Article in European journal of pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

8 authors.

Rocío Fernández-IglesiasSpanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue, 3-5, 28029, Madrid, Spain.
Pablo Martinez-CamblorBiomedical Data Science Department, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Ana Fernández-SomoanoSpanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue, 3-5, 28029, Madrid, Spain. fernandezsana@uniovi.es.
Cristina Rodríguez-DehliInstituto de Investigación Sanitaria del Principado de Asturias (ISPA), Roma Avenue S/N, 33001, Oviedo, Asturias, Spain.
Rafael Venta-ObayaServicio de Bioquímica, Hospital San Agustín, Heros Street, 4, 33410, Avilés, Asturias, Spain.
Margaret R KaragasDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Adonina TardónSpanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue, 3-5, 28029, Madrid, Spain.
Isolina Riaño-GalánSpanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue, 3-5, 28029, Madrid, Spain.

Funding

Instituto de Salud Carlos III PI04/2018
6 · The paper itself

Abstract

Identifying cardiovascular-related measures that track from early childhood into later ages may help inform early prevention targets for cardiovascular disease. In this study, the tracking of triglycerides (TG), high-density cholesterol (HDL-c), atherogenic coefficient (AC), waist circumference to height ratio (WC/Height), mean arterial pressure (MAP), and homeostatic model assessment of insulin resistance (HOMA-IR) was examined in the INMA-Asturias cohort between 4 and 8 years of age. The analysis was conducted in 307 children who participated in the INMA-Asturias cohort (Spain) at 4 and at 8 years of age. Quantile regression models were used to evaluate tracking between measures at both ages, with each measure at 8 years as the dependent variable and the rank transformation of the same measure at 4 years as the independent variable. We found a positive association between HDL-c rank at 4 years and higher quantiles of the HDL-c distribution at 8 years, with an increase of 2.93 mg/dL (95% CI: 1.98, 3.87) per decile in the 0.9 quantile. A positive association was also found for WC/Height, with an increase of 0.008 (95% CI: 0.004, 0.012) per decile in the 0.9 quantile. We observed that tracking for AC increased in the higher quantiles of the distribution at 8 years, with an increase of 0.11 (95% CI: 0.09, 0.14) in the 0.6 quantile compared to an effect of 0.15 (95% CI: 0.09, 0.21) in the 0.9 quantile.  Conclusions: Adult markers of dyslipidemia and central obesity tracked between ages 4 and 8 years. For AC, tracking increased in the higher quantiles of the distribution. What is Known: • Atherosclerosis begins in early life, so preventive efforts that start in childhood may delay progression to clinical disease. Determine what cardiovascular risk factors track into time since childhood bring the opportunity to identified those subjects at risk for later cardiovascular disease. • The study of risk factors in health populations and, particularly in children, copes with not clear and/or controversial thresholds definition. This makes it challenging to study tracking in pediatric ages. What is New: • Quantile regression is a useful tool for assessing the tracking of risk factors for which there are no clinically meaningful thresholds. The increasing trend observed in the tracking of dyslipidemia suggests the possible difficulty that children with abnormal values at 4 years of age might have in normalizing them in future years. • The findings of this article may help to determine which cardiovascular-related measures could be screened and followed-up in children.

Indexed as

Cardiovascular DiseasesBiomarkersBlood PressureChildChild, PreschoolCholesterol, HDLCohort StudiesFemaleHeart Disease Risk FactorsHumansInsulin ResistanceMaleSpainTriglyceridesWaist CircumferenceBiomarkersCholesterol, HDLTriglyceridesCardiovascular riskChildhoodDyslipidemiaHyperglycemiaHypertensionObesityQuantile regressionTracking

Identifiers

PMID37338691
PMCPMC10570156

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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.