Fatness, fitness, and cardiovascular disease risk factors in children and adolescents.

OBJECTIVE The purpose of this study was to examine differences in cardiovascular disease (CVD) risk factors across four cross-tabulated groups of cardiorespiratory fitness and body fatness in youth. METHODS Subjects included 860 males and 755 females aged 9-15 yr from the Australian Schools Health and Fitness Survey. Participants were cross-tabulated into four groups using percent body fat and estimated maximal oxygen consumption (VO2max) to split the groups. CVD risk factors included blood pressure, triglycerides (TG), fasting total cholesterol (CHOL), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and TC:HDL-C. RESULTS In males, significant differences across groups were observed for blood pressure, TG, HDL-C, LDL-C, and TC:HDL-C (P < 0.05). In females, significant group differences were observed for blood pressure and HDL-C (P < 0.05). In females, a significant difference was also evident between those in the high-fat/high-fitness group compared with the high-fat/low-fitness group for all blood pressure measures. A general trend of lower blood pressure values for both males and females in the low-fat group compared with the high-fat group was also observed. This same trend was found for males in the blood lipids. There was a linear relationship across groups for the CVD risk score for both genders. There were also significant differences between the low- and high-fat subgroups within a fitness group for both genders. CONCLUSION The results provide evidence for the consideration of both fatness and fitness when interpreting CVD risk factors in youth, particularly among high-fat youth.

[1]  C. Bouchard,et al.  Aerobic fitness, body mass index, and CVD risk factors among adolescents: the Québec family study , 2005, International Journal of Obesity.

[2]  Claude Bouchard,et al.  The Human Obesity Gene Map: The 2005 Update , 2006, Obesity.

[3]  Ø. Ellingsen,et al.  Cardiovascular Risk Factors Emerge After Artificial Selection for Low Aerobic Capacity , 2005, Science.

[4]  M. White Growth, Maturation and Physical Activity, 2nd Edition , 2004 .

[5]  S. Blair,et al.  Stability of variables associated with the metabolic syndrome from adolescence to adulthood: The Aerobics Center Longitudinal Study , 2004, American journal of human biology : the official journal of the Human Biology Council.

[6]  Gregory J Welk,et al.  Assessing body composition among 3- to 8-year-old children: anthropometry, BIA, and DXA. , 2004, Obesity research.

[7]  K. Janz Growth, maturation, and physical activity, 2nd edition , 2004 .

[8]  U. Ekelund,et al.  Features of the metabolic syndrome are associated with objectively measured physical activity and fitness in Danish children: the European Youth Heart Study (EYHS). , 2004, Diabetes care.

[9]  K. Flegal,et al.  Prevalence of overweight and obesity among US children, adolescents, and adults, 1999-2002. , 2004, JAMA.

[10]  C. Bouchard,et al.  The human gene map for performance and health-related fitness phenotypes: the 2005 update. , 2003 .

[11]  C. Bouchard,et al.  The utility of the international child and adolescent overweight guidelines for predicting coronary heart disease risk factors. , 2003, Journal of clinical epidemiology.

[12]  M. Goran,et al.  Obesity and risk of type 2 diabetes and cardiovascular disease in children and adolescents. , 2003, The Journal of clinical endocrinology and metabolism.

[13]  Jukka T Salonen,et al.  The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. , 2002, JAMA.

[14]  P. Wilson,et al.  Obesity and Cardiovascular Disease Risk: Research Update , 2001, Cardiology in review.

[15]  C. Bouchard,et al.  Stability of indicators of the metabolic syndrome from childhood and adolescence to young adulthood: the Québec Family Study. , 2001, Journal of clinical epidemiology.

[16]  S. Blair,et al.  Physical Activity Protects against the Health Risks of Obesity. , 2000 .

[17]  S. Blair,et al.  Cardiorespiratory fitness, body composition, and all-cause and cardiovascular disease mortality in men. , 1999, The American journal of clinical nutrition.

[18]  L. Lemura,et al.  Physiological Assessment of Human Fitness , 1996 .

[19]  H. Kohl,et al.  Physical fitness, mortality and obesity. , 1995, International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity.

[20]  K. Cureton,et al.  A generalized equation for prediction of VO2peak from 1-mile run/walk performance. , 1995, Medicine and science in sports and exercise.

[21]  M. Stachura,et al.  Relation of percentage of body fat and maximal aerobic capacity to risk factors for atherosclerosis and diabetes in black and white seven- to eleven-year-old children. , 1994, The Journal of pediatrics.

[22]  J. Viikari,et al.  Clustering and six year cluster-tracking of serum total cholesterol, HDL-cholesterol and diastolic blood pressure in children and young adults. The Cardiovascular Risk in Young Finns Study. , 1994, Journal of clinical epidemiology.

[23]  Gerald S. Berenson,et al.  Persistence of multiple cardiovascular risk clustering related to syndrome X from childhood to young adulthood. The Bogalusa Heart Study. , 1994, Archives of internal medicine.

[24]  L. Kuller,et al.  Tracking of blood pressure from adolescence to middle age: the Dormont High School Study. , 1994, Preventive medicine.

[25]  J Haraldsdóttir,et al.  Tracking of cardiovascular disease risk factors including maximal oxygen uptake and physical activity from late teenage to adulthood An 8‐year follow‐up study , 1993, Journal of internal medicine.

[26]  D. Ragland,et al.  Dichotomizing Continuous Outcome Variables: Dependence of the Magnitude of Association and Statistical Power on the Cutpoint , 1992, Epidemiology.

[27]  L. Kuller,et al.  Cholesterol screening in childhood: sixteen-year Beaver County Lipid Study experience. , 1991, The Journal of pediatrics.

[28]  H. Kemper,et al.  Tracking of health and risk indicators of cardiovascular diseases from teenager to adult: Amsterdam Growth and Health Study. , 1990, Preventive medicine.

[29]  A. C. Burton,et al.  Recommendations for Human Blood Pressure Determination By Sphygmomanometers , 1981, Circulation.

[30]  A S Jackson,et al.  Generalized equations for predicting body density of men , 1978, British Journal of Nutrition.

[31]  R. Levy,et al.  Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. , 1972, Clinical chemistry.

[32]  A. C. Burton,et al.  RECOMMENDATIONS for human blood pressure determinations by sphygmomanometers. , 1967, Journal of the American Medical Association.

[33]  C. Bouchard,et al.  The human gene map for performance and health-related fitness phenotypes: the 2004 update. , 2005, Medicine and science in sports and exercise.

[34]  J. R. Kelley,et al.  Gastric cancer epidemiology and risk factors. , 2003, Journal of clinical epidemiology.

[35]  J. Mckenney,et al.  Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). , 2001, JAMA.

[36]  R A Boileau,et al.  Skinfold equations for estimation of body fatness in children and youth. , 1988, Human biology.

[37]  A S Jackson,et al.  Generalized equations for predicting body density of women. , 1980, Medicine and science in sports and exercise.