OBJECTIVE: Serum non-high-density lipoprotein (HDL) cholesterol (total cholesterol minus HDL cholesterol) is considered a better screening tool than low-density lipoprotein (LDL) cholesterol for the assessment of coronary artery disease (CAD) risk in adults because it includes all classes of atherogenic lipoproteins. Although population frequency distribution and clinically useful cutpoints for this variable in adults have been reported recently, such information is lacking in children. Therefore, this study sought to provide population-based data on the distribution and correlates of non-HDL cholesterol in biracial (black-white) children. METHODS: The study sample consisted of 2843 5- to 17-year-olds (57% white, 50% female) who participated in a cross-sectional screening of cardiovascular risk factors as part of the Bogalusa Heart Study. RESULTS: Non-HDL cholesterol levels were similar in black and white children, and higher in girls than in boys, especially among the younger (5-11 years) age group. Age was inversely related to both non-HDL cholesterol and LDL cholesterol. Body fatness as measured by body mass index and waist circumference was positively associated with non-HDL cholesterol. The magnitude of correlation with triglycerides was relatively higher for non-HDL cholesterol versus LDL cholesterol. Non-HDL cholesterol showed an inverse relation to HDL cholesterol. In a multivariate analysis, body mass index, age, gender, waist circumference, and cigarette smoking accounted for 7.7% of the variance in non-HDL cholesterol. Non-HDL cholesterol levels equivalent to currently recommended LDL cutpoints (110, 130, 160, and 190 mg/dL) for CAD risk assessment were 123, 144, 176, and 207 mg/dL. CONCLUSION: Population-based data on non-HDL cholesterol are now available for children, which may help improve the CAD risk assessment and intervention.
OBJECTIVE: Serum non-high-density lipoprotein (HDL) cholesterol (total cholesterol minus HDL cholesterol) is considered a better screening tool than low-density lipoprotein (LDL) cholesterol for the assessment of coronary artery disease (CAD) risk in adults because it includes all classes of atherogenic lipoproteins. Although population frequency distribution and clinically useful cutpoints for this variable in adults have been reported recently, such information is lacking in children. Therefore, this study sought to provide population-based data on the distribution and correlates of non-HDL cholesterol in biracial (black-white) children. METHODS: The study sample consisted of 2843 5- to 17-year-olds (57% white, 50% female) who participated in a cross-sectional screening of cardiovascular risk factors as part of the Bogalusa Heart Study. RESULTS: Non-HDL cholesterol levels were similar in black and white children, and higher in girls than in boys, especially among the younger (5-11 years) age group. Age was inversely related to both non-HDL cholesterol and LDL cholesterol. Body fatness as measured by body mass index and waist circumference was positively associated with non-HDL cholesterol. The magnitude of correlation with triglycerides was relatively higher for non-HDL cholesterol versus LDL cholesterol. Non-HDL cholesterol showed an inverse relation to HDL cholesterol. In a multivariate analysis, body mass index, age, gender, waist circumference, and cigarette smoking accounted for 7.7% of the variance in non-HDL cholesterol. Non-HDL cholesterol levels equivalent to currently recommended LDL cutpoints (110, 130, 160, and 190 mg/dL) for CAD risk assessment were 123, 144, 176, and 207 mg/dL. CONCLUSION: Population-based data on non-HDL cholesterol are now available for children, which may help improve the CAD risk assessment and intervention.
Authors: Markus Juonala; Feitong Wu; Alan Sinaiko; Jessica G Woo; Elaine M Urbina; David Jacobs; Julia Steinberger; Ronald Prineas; Juha Koskinen; Matthew A Sabin; David P Burgner; Trudy L Burns; Lydia Bazzano; Alison Venn; Jorma S A Viikari; Nina Hutri-Kähönen; Stephen R Daniels; Terence Dwyer; Olli T Raitakari; Costan G Magnussen Journal: Pediatrics Date: 2020-03-24 Impact factor: 7.124
Authors: Sally Sultan; Michael Dowling; Adam Kirton; Gabrielle DeVeber; Alexandra Linds; Mitchell S V Elkind Journal: Pediatr Neurol Date: 2017-10-10 Impact factor: 3.372
Authors: Douglas R Thompson; Eva Obarzanek; Debra L Franko; Bruce A Barton; John Morrison; Frank M Biro; Stephen R Daniels; Ruth H Striegel-Moore Journal: J Pediatr Date: 2007-01 Impact factor: 4.406