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Persistent High Non-High-Density Lipoprotein Cholesterol in Early Childhood: A Latent Class Growth Model Analysis
Jordan M Albaum1, Sarah Carsley2, Yang Chen3
1Pediatrics Outcomes Research Team (PORT), The Hospital for Sick Children, Toronto, Ontario; Faculty of Medicine, University of Toronto, Toronto, Ontario; Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Ontario.
Insights
Persistent high non-HDL cholesterol in children is linked to family history. Early identification and intervention are key for cardiovascular health in kids.
Area of Science:
- Pediatric lipidology
- Cardiovascular risk assessment in children
- Public health and preventive medicine
Background:
- Non-high-density lipoprotein (HDL) cholesterol patterns in early childhood are not well understood.
- Identifying children with persistent high non-HDL cholesterol is crucial for early cardiovascular disease prevention.
- Understanding associated factors can guide targeted interventions.
Purpose of the Study:
- To analyze non-HDL cholesterol trajectories in healthy urban children from infancy.
- To identify risk factors associated with persistent high non-HDL cholesterol levels.
- To inform the development of early childhood lipid screening tools.
Main Methods:
- Latent class growth modeling was used to identify non-HDL cholesterol trajectories in 608 children from the TARGet Kids! network.
- Children were categorized into normal or persistent-high non-HDL cholesterol groups based on guideline cut-offs.
- Logistic regression examined associations between trajectory groups and anthropometric/cardiometabolic risk factors.
Main Results:
- Four distinct non-HDL cholesterol trajectory groups were identified; 2 (n=157) showed persistent high levels.
- Family history of high cholesterol significantly increased the odds of persistent high non-HDL cholesterol (OR 2.04).
- East/Southeast Asian ethnicity, longer breastfeeding, and higher birth weight were associated with lower odds of persistent high non-HDL cholesterol.
Conclusions:
- Family history is a strong predictor of persistent high non-HDL cholesterol in early childhood.
- Early identification of children at risk for high lipids is essential for cardiovascular health.
- Development of a clinical prediction tool for childhood lipids could facilitate timely interventions.
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.
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