Body Mass Index, Waist Circumference, and the Clustering of Cardiometabolic Risk Factors in Early Childhood

被引:29
作者
Anderson, Laura N. [1 ,2 ]
Lebovic, Gerald [3 ,4 ]
Hamilton, Jill [5 ,6 ,7 ]
Hanley, Anthony J. [7 ]
McCrindle, Brian W. [2 ,6 ]
Maguire, Jonathon L. [3 ,4 ,6 ,7 ]
Parkin, Patricia C. [2 ,4 ,6 ,8 ,9 ]
Birken, Catherine S. [2 ,4 ,6 ,8 ,9 ]
机构
[1] McMaster Univ, Dept Clin Epidemiol & Biostat, Hamilton, ON, Canada
[2] Hosp Sick Children, Child Hlth Evaluat Sci, Toronto, ON M5G 0A4, Canada
[3] St Michaels Hosp, Li Ka Shing Knowledge Inst, Appl Hlth Res Ctr, 30 Bond St, Toronto, ON M5B 1W8, Canada
[4] Univ Toronto, Inst Hlth Policy Management & Evaluat, Toronto, ON, Canada
[5] Hosp Sick Children, Div Endocrinol, Toronto, ON M5G 0A4, Canada
[6] Univ Toronto, Fac Med, Dept Pediat, Toronto, ON, Canada
[7] Univ Toronto, Dept Nutr Sci, Toronto, ON, Canada
[8] Hosp Sick Children, Div Paediat Med, Toronto, ON M5G 0A4, Canada
[9] Hosp Sick Children, Pediat Outcomes Res Team, Toronto, ON M5G 0A4, Canada
基金
加拿大健康研究院;
关键词
Pediatric obesity; cardiovascular; metabolic; preschool children; PEDIATRIC METABOLIC SYNDROME; FACTOR-ANALYSIS REVEALS; CHILDREN; ADOLESCENTS; OBESITY; OVERWEIGHT; ADIPOSITY; MARKERS; HEALTH; COHORT;
D O I
10.1111/ppe.12268
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundObesity has its origins in early childhood; however, there is limited evidence of the association between anthropometric indicators and cardiometabolic risk factors in young children. Our aim was to evaluate the associations between body mass index (BMI) and waist circumference (WC) in relation to cardiometabolic risk factors and to explore the clustering of these factors. MethodsA cross-sectional study was conducted in children aged 1-5 years through TARGetKids! (n=2917). Logistic regression was used to evaluate associations between BMI and WC z-scores and individual traditional and possible non-traditional cardiometabolic risk factors. The underlying clustering of these measures was evaluated using principal components analysis (PCA). ResultsChild obesity (BMI z-score >2) was associated with high (>90th percentile) leptin [odds ratio (OR) 8.15, 95% confidence interval (CI) 4.56, 14.58] and insulin (OR=1.76; 95% CI 1.05, 2.94). WC z-score >1 was associated with high insulin (OR 1.59, 95% CI 1.11, 2.28), leptin (OR 5.48, 95% CI 3.48, 8.63) and 25-hydroxyvitamin D<75nmol/L (OR 1.39, 95% CI 1.08, 1.79). BMI and WC were not associated with other traditional cardiometabolic risk factors, including non-High Density Lipoprotein (HDL) cholesterol, and glucose. Among children 3-5 years (n=1035) the PCA of traditional risk factors identified three components: adiposity/blood pressure, metabolic, and lipids. The inclusion of non-traditional risk factors identified four additional components but contributed minimally to the total variation explained. ConclusionsAnthropometric indicators are associated with selected cardiometabolic risk factors in early childhood, although the clustering of risk factors suggests that adiposity is only one distinct component of cardiometabolic risk. The measurement of other risk factors beyond BMI and WC may be important in defining cardiometabolic risk in early childhood.
引用
收藏
页码:160 / 170
页数:11
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