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Persistent High Non-High-Density Lipoprotein Cholesterol in Early Childhood: A Latent Class Growth Model Analysis - 23/11/17

Doi : 10.1016/j.jpeds.2017.08.079 
Jordan M. Albaum, MSc 1, 2, 3, Sarah Carsley, MSc 1, 3, 4, Yang Chen, MA, MSc 5, David W.H. Dai, MSc 5, Gerald Lebovic, PhD 4, 5, Brian W. McCrindle, MD 2, 3, Jonathon L. Maguire, MD, MSc 2, 4, 5, Patricia C. Parkin, MD 2, 3, 4, 6, Catherine S. Birken, MD, MSc, FRCPC 1, 2, 3, 4, 6, *
on behalf of the

TARGet Kids! Collaboration

1 Pediatrics Outcomes Research Team (PORT), The Hospital for Sick Children, Toronto, Ontario 
2 Faculty of Medicine, University of Toronto, Toronto, Ontario 
3 Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Ontario 
4 Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario 
5 The Applied Health Research Centre of the Li Ka Shing Knowledge Institute, Toronto, Ontario 
6 Division of Pediatric Medicine, Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario 

*Reprint requests: Catherine Birken, MD, MSc, FRCPC, Associate Professor, Division of Pediatric Medicine, The Hospital for Sick Children, University of Toronto, 686 Bay St, ON M5G 0X4, ON, Canada.Division of Pediatric MedicineThe Hospital for Sick ChildrenUniversity of Toronto686 Bay StONON M5G 0X4Canada

Abstract

Objectives

To examine patterns of non–high-density lipoprotein (HDL) cholesterol in early childhood and identify factors associated with persistent high non-HDL cholesterol in healthy urban children.

Study design

We identified all children enrolled in a primary care practice-based research network called TARGet Kids! (The Applied Research Group for Kids) with ≥3 laboratory measurements of non-HDL cholesterol. Latent class growth model analysis was performed to identify distinct trajectory groups for non-HDL cholesterol. Trajectory groups were then categorized into “normal” vs “persistent-high” non-HDL cholesterol based on guideline cut-off values and logistic regression was completed to examine the association between trajectory group and the presence of anthropometric and cardiometabolic risk factors.

Results

A total of 608 children met inclusion criteria for the trajectory analysis (median age at enrolment = 18.3, IQR = 27.9 months). Four trajectory groups were identified with 2 groups (n = 451) categorized as normal non-HDL cholesterol and 2 groups (n = 157) as persistent high non-HDL cholesterol. Family history of high cholesterol (OR 2.04, 95% CI 1.27-3.28) was associated significantly with persistent high non-HDL cholesterol, whereas East/Southeast Asian vs European ethnicity (OR 0.33, 95% CI 0.14-0.78), longer breastfeeding duration (OR 0.96, 95% CI 0.93-1.00), and greater birth weight (OR 0.69, 95% CI 0.48-1.00) were associated with lower odds of persistent high non-HDL cholesterol.

Conclusions

Patterns of non-HDL cholesterol are identified during early childhood, and family history of high cholesterol was associated most strongly with persistent high non-HDL cholesterol. Future research should inform the development of a clinical prediction tool for lipids in early childhood to identify children who may benefit from interventions to promote cardiovascular health.

Il testo completo di questo articolo è disponibile in PDF.

Keywords : cardiovascular, trajectory, trends, lipids

Abbreviations : BMI, CVD, HDL, LDL, TARGet Kids!


Mappa


 Supported by the Canadian Institutes of Health Research (133585). The authors declare no conflicts of interest.


© 2017  Elsevier Inc. Tutti i diritti riservati.
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P. 152-157 - dicembre 2017 Ritorno al numero
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