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

BACKGROUND Obesity 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. METHODS A cross-sectional study was conducted in children aged 1-5 years through TARGet Kids! (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). RESULTS Child 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 < 75 nmol/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. CONCLUSIONS Anthropometric 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.

[1]  B. McCrindle,et al.  Cohort Profile: The Applied Research Group for Kids (TARGet Kids!). , 2015, International journal of epidemiology.

[2]  Michael R. Kramer,et al.  Incidence of childhood obesity in the United States. , 2014, The New England journal of medicine.

[3]  T. Paus,et al.  Clustering of the Metabolic Syndrome Components in Adolescence: Role of Visceral Fat , 2013, PloS one.

[4]  S. Yusuf,et al.  Maternal and Pregnancy Related Predictors of Cardiometabolic Traits in Newborns , 2013, PloS one.

[5]  M. Peterson,et al.  Principal component analysis reveals gender-specific predictors of cardiometabolic risk in 6th graders , 2012, Cardiovascular Diabetology.

[6]  S. Lipshultz,et al.  BMI, Waist Circumference, and Selected Cardiovascular Disease Risk Factors Among Preschool‐Age Children , 2012, Obesity.

[7]  L. Mccargar,et al.  Early markers of adult obesity: a review , 2012, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[8]  P. Gately,et al.  Longitudinal factor analysis reveals a distinct clustering of cardiometabolic improvements during intensive, short-term dietary and exercise intervention in obese children and adolescents. , 2012, Metabolic syndrome and related disorders.

[9]  B. Gower,et al.  Associations of Serum 25‐Hydroxyvitamin D and Components of the Metabolic Syndrome in Obese Adolescent Females , 2011, Obesity.

[10]  E. Lioudaki,et al.  Liver enzymes: potential cardiovascular risk markers? , 2011, Current pharmaceutical design.

[11]  M. Steiner,et al.  Fasting Might Not Be Necessary Before Lipid Screening: A Nationally Representative Cross-sectional Study , 2011, Pediatrics.

[12]  D. Jacobs,et al.  Predicting cardiovascular risk in young adulthood from the metabolic syndrome, its component risk factors, and a cluster score in childhood. , 2011, International journal of pediatric obesity : IJPO : an official journal of the International Association for the Study of Obesity.

[13]  D. Lawlor,et al.  Association between general and central adiposity in childhood, and change in these, with cardiovascular risk factors in adolescence: prospective cohort study , 2010, BMJ : British Medical Journal.

[14]  E. A. M. Gale,et al.  The metabolic syndrome: useful concept or clinical tool? Report of a WHO Expert Consultation , 2010, Diabetologia.

[15]  S. Grundy,et al.  Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International As , 2009, Circulation.

[16]  M. Malavolti,et al.  Metabolic syndrome: a child is not a small adult. , 2008, International journal of pediatric obesity : IJPO : an official journal of the International Association for the Study of Obesity.

[17]  M. Tremblay Major Initiatives Related to Childhood Obesity and Physical Inactivity in Canada: The Year in Review , 2007, Canadian Journal of Public Health.

[18]  P. Brambilla,et al.  Metabolic risk-factor clustering estimation in children: to draw a line across pediatric metabolic syndrome , 2007, International Journal of Obesity.

[19]  B. Zinman,et al.  Nontraditional cardiovascular risk factors in pediatric metabolic syndrome. , 2006, The Journal of pediatrics.

[20]  J. Meigs,et al.  Re: "(Mis)use of factor analysis in the study of insulin resistance syndrome". , 2005, American journal of epidemiology.

[21]  C. Bouchard,et al.  Body mass index, waist circumference, and clustering of cardiovascular disease risk factors in a biracial sample of children and adolescents. , 2004, Pediatrics.

[22]  B. Rosner,et al.  The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents , 2004 .

[23]  R. Ross,et al.  Waist circumference and not body mass index explains obesity-related health risk. , 2004, The American journal of clinical nutrition.

[24]  S. Grundy,et al.  The metabolic syndrome , 2003, The Lancet.

[25]  W. Dietz,et al.  Prevalence of a metabolic syndrome phenotype in adolescents: findings from the third National Health and Nutrition Examination Survey, 1988-1994. , 2003, Archives of pediatrics & adolescent medicine.

[26]  J. Meigs,et al.  Invited commentary: insulin resistance syndrome? Syndrome X? Multiple metabolic syndrome? A syndrome at all? Factor analysis reveals patterns in the fabric of correlated metabolic risk factors. , 2000, American journal of epidemiology.

[27]  W. Dietz,et al.  The Relation of Overweight to Cardiovascular Risk Factors Among Children and Adolescents: The Bogalusa Heart Study , 1999, Pediatrics.

[28]  D. Secker Promoting optimal monitoring of child growth in Canada: using the new WHO growth charts. , 2010, Canadian journal of dietetic practice and research : a publication of Dietitians of Canada = Revue canadienne de la pratique et de la recherche en dietetique : une publication des Dietetistes du Canada.

[29]  R. Martorell,et al.  Obesity indicators and cardiometabolic status in 4-y-old children. , 2010, The American journal of clinical nutrition.

[30]  W. Dietz,et al.  Cardiovascular risk factors and excess adiposity among overweight children and adolescents: the Bogalusa Heart Study. , 2007, The Journal of pediatrics.