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

被引:9
作者
Albaum, Jordan M. [1 ,2 ,3 ]
Carsley, Sarah [1 ,3 ,4 ]
Chen, Yang [5 ]
Dai, David W. H. [5 ]
Lebovic, Gerald [4 ,5 ]
McCrindle, Brian W. [2 ,3 ]
Maguire, Jonathon L. [2 ,4 ,5 ]
Parkin, Patricia C. [2 ,3 ,4 ,6 ]
Birken, Catherine S. [1 ,2 ,3 ,4 ,6 ]
机构
[1] Hosp Sick Children, PORT, Toronto, ON, Canada
[2] Univ Toronto, Fac Med, Toronto, ON, Canada
[3] Hosp Sick Children, Res Inst, Child Hlth Evaluat Sci, Toronto, ON, Canada
[4] Univ Toronto, Inst Hlth Policy Management & Evaluat, Toronto, ON, Canada
[5] Li Ka Shing Knowledge Inst, Appl Hlth Res Ctr, Toronto, ON, Canada
[6] Hosp Sick Children, Dept Pediat, Div Pediat Med, Toronto, ON, Canada
基金
加拿大健康研究院;
关键词
CARDIOVASCULAR RISK-FACTORS; YOUNG-ADULTS; FAMILIAL HYPERCHOLESTEROLEMIA; DEVELOPMENTAL TRAJECTORIES; SERUM-LIPIDS; CHILDREN; DISEASE; ATHEROSCLEROSIS; ASSOCIATION; ADOLESCENTS;
D O I
10.1016/j.jpeds.2017.08.079
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
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.
引用
收藏
页码:152 / 157
页数:6
相关论文
共 37 条
[1]   Cascade screening based on genetic testing is cost-effective: Evidence for the implementation of models of care for familial hypercholesterolemia [J].
Ademi, Zanfina ;
Watts, Gerald F. ;
Pang, Jing ;
Sijbrands, Eric J. G. ;
van Bockxmeer, Frank M. ;
O'Leary, Peter ;
Geelhoed, Elizabeth ;
Liew, Danny .
JOURNAL OF CLINICAL LIPIDOLOGY, 2014, 8 (04) :390-400
[2]  
Alberty R, 2009, COLLEGIUM ANTROPOL, V33, P1015
[3]   Duration of Fasting, Serum Lipids, and Metabolic Profile in Early Childhood [J].
Anderson, Laura N. ;
Maguire, Jonathon L. ;
Lebovic, Gerald ;
Hanley, Anthony J. ;
Hamilton, Jill ;
Adeli, Khosrow ;
McCrindle, Brian W. ;
Borkhoff, Cornelia M. ;
Parkin, Patricia C. ;
Birken, Catherine S. .
JOURNAL OF PEDIATRICS, 2017, 180 :47-+
[4]   Body Mass Index, Waist Circumference, and the Clustering of Cardiometabolic Risk Factors in Early Childhood [J].
Anderson, Laura N. ;
Lebovic, Gerald ;
Hamilton, Jill ;
Hanley, Anthony J. ;
McCrindle, Brian W. ;
Maguire, Jonathon L. ;
Parkin, Patricia C. ;
Birken, Catherine S. .
PAEDIATRIC AND PERINATAL EPIDEMIOLOGY, 2016, 30 (02) :160-170
[5]   Latent Class Growth Modelling: A Tutorial [J].
Andruff, Heather ;
Carraro, Natasha ;
Thompson, Amanda ;
Gaudreau, Patrick ;
Louvet, Benoit .
TUTORIALS IN QUANTITATIVE METHODS FOR PSYCHOLOGY, 2009, 5 (01) :11-24
[6]  
[Anonymous], 2011, PEDIATRICS, V128, pS213
[7]   Small-sample degrees of freedom with multiple imputation [J].
Barnard, J ;
Rubin, DB .
BIOMETRIKA, 1999, 86 (04) :948-955
[8]   Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults [J].
Berenson, GS ;
Srinivasan, SR ;
Bao, WH ;
Newman, WP ;
Tracy, RE ;
Wattigney, WA .
NEW ENGLAND JOURNAL OF MEDICINE, 1998, 338 (23) :1650-1656
[9]   Screening for Lipid Disorders in Children and Adolescents US Preventive Services Task Force Recommendation Statement [J].
Bibbins-Domingo, Kirsten ;
Grossman, David C. ;
Curry, Susan J. ;
Davidson, Karina W. ;
Epling, John W., Jr. ;
Garcia, Francisco A. R. ;
Gillman, Matthew W. ;
Kemper, Alex R. ;
Krist, Alex H. ;
Kurth, Ann E. ;
Landefeld, C. Seth ;
LeFevre, Michael ;
Mangione, Carol M. ;
Phillips, William R. ;
Phipps, Maureen G. ;
Pignone, Michael P. ;
Siu, Albert L. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2016, 316 (06) :625-633
[10]   Cardiovascular Disease Risk Factors Are Elevated in Urban Minority Children Enrolled in Head Start [J].
Brogan, Kathryn ;
Danford, Cynthia ;
Yeh, Yulyu ;
Jen, Kai-Lin Catherine .
CHILDHOOD OBESITY, 2014, 10 (03) :207-213