Tracking of cardiometabolic risk factor clustering from childhood to adulthood

International Journal of Pediatric Obesity

Volumn 5, Issue 2, 2010, Pages 122-129

  Camhi, Sarah M ^a   Katzmarzyk, Peter T ^a  

^a PENNINGTON BIOMEDICAL RESEARCH CENTER   (United States)

Author keywords

Cardiovascular risk factors; Clustering; Longitudinal studies; Metabolic syndrome; Tracking

Indexed keywords

ADULT; CARDIOVASCULAR RISK; CHILD; HIGH RISK POPULATION; HUMAN; OBESITY; PRIORITY JOURNAL; REVIEW; SCORING SYSTEM; ADOLESCENT; CARDIOVASCULAR DISEASES; CLUSTER ANALYSIS; COMPLICATION; FEMALE; MALE; METABOLIC SYNDROME X; PRESCHOOL CHILD; RISK ASSESSMENT; RISK FACTOR;

ADOLESCENT; ADULT; CARDIOVASCULAR DISEASES; CHILD; CHILD, PRESCHOOL; CLUSTER ANALYSIS; FEMALE; HUMANS; MALE; METABOLIC SYNDROME X; OBESITY; OVERWEIGHT; RISK ASSESSMENT; RISK FACTORS;

EID: 77949389084     PISSN: 17477166     EISSN: 17477174     Source Type: Journal    
DOI: 10.3109/17477160903111763     Document Type: Review

References (50)

1. Desroches S, Lamarche B. The evolving defi nitions and increasing prevalence of the metabolic syndrome. Appl Physiol Nutr Metab. 2007;32(1):23-32.
2. Ford ES, Li C. Defi ning the metabolic syndrome in children and adolescents: will the real defi nition please stand up? J Pediatr. 2008;152(2):160-164
3. Chen W, Srinivasan SR, Elkasabany A, et al. Cardiovascular risk factors clustering features of insulin resistance syndrome (Syndrome X) in a biracial (Black-White) population of children, adolescents, and young adults: the Bogalusa Heart Study. Am J Epidemiol. 1999;150(7):667-674
4. Cook S, Weitzman M, Auinger P, et al. Prevalence of a metabolic syndrome phenotype in adolescents: fi ndings from the third National Health and Nutrition Examination Survey, 1988-1994. Arch Pediatr Adolesc Med. 2003;157(8):821-827
5. de Ferranti SD, Gauvreau K, Ludwig DS, et al. Prevalence of the metabolic syndrome in American adolescents: fi ndings from the Third National Health and Nutrition Examination Survey. Circulation. 2004;110(16):2494-2497
6. Andersen LB, Wedderkopp N, Hansen HS, et al. Biological cardiovascular risk factors cluster in Danish children and adolescents: the European Youth Heart Study. Prev Med. 2003;37(4):363-367
7. Ford ES, Li C, Zhao G, et al. Prevalence of the metabolic syndrome among U.S. adolescents using the defi nition from the International Diabetes Federation. Diabetes Care. 2008; (3):587-589
8. Ford ES. Prevalence of the metabolic syndrome defi ned by the International Diabetes Federation among adults in the U.S. Diabetes Care. 2005;28(11):2745-2749
9. Berenson GS, Srinivasan SR, Bao W, et al. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. N Engl J Med. 1998;338(23):1650-1656
10. Franks PW, Hanson RL, Knowler WC, et al. Childhood predictors of young-onset type 2 diabetes. Diabetes. 2007; 56(12):2964-2972
11. Morrison JA, Friedman LA, Wang P, et al. Metabolic syndrome in childhood predicts adult metabolic syndrome and type 2 diabetes mellitus 25 to 30 years later. J Pediatr. 2008;152(2):201-206
12. Ford ES. The metabolic syndrome and mortality from cardiovascular disease and all-causes: fi ndings from the National Health and Nutrition Examination Survey II Mortality Study. Atherosclerosis. 2004;173(2):309-314
13. Laaksonen DE, Lakka HM, Niskanen LK, et al. Metabolic syndrome and development of diabetes mellitus: application and validation of recently suggested defi nitions of the metabolic syndrome in a prospective cohort study. Am J Epidemiol. 2002;156(11):1070-1077
14. Lakka HM, Laaksonen DE, Lakka TA, et al. The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. JAMA. 2002;288(21):2709-2716
15. Andersen LB, Sardinha LB, Froberg K, et al. Fitness, fatness and clustering of cardiovascular risk factors in children from Denmark, Estonia and Portugal: the European Youth Heart Study. Int J Pediatr Obes. 3 Suppl 2008;1:58-66.
16. Andersen LB, Harro M, Sardinha LB, et al. Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study). Lancet. 2006; 368(9532):299-304.
17. Wijndaele K, Duvigneaud N, Matton L, et al. Sedentary behaviour, physical activity and a continuous metabolic syndrome risk score in adults. Eur J Clin Nutr. 2009;63(3): 421-429
18. de Ferranti SD, Gauvreau K, Ludwig DS, et al. Infl amma-tion and changes in metabolic syndrome abnormalities in US adolescents: fi ndings from the-1994 and 1999-2000 National Health and Nutrition Examination Surveys. Clin Chem.;52 1988;2006(7):1325-1330
19. Ford ES, Giles WH, Mokdad AH. Increasing prevalence of the metabolic syndrome among u.s. Adults. Diabetes Care. 2004;27(10):2444-2449
20. Twisk JW, Kemper HC, Mellenbergh GJ. Mathematical and analytical aspects of tracking. Epidemiol Rev. 1994;16(2): 165-183
21. Kemper HC, Snel J, Verschuur R, et al. Tracking of health and risk indicators of cardiovascular diseases from teenager to adult: Amsterdam Growth and Health Study. Prev Med. 1990;19(6):642-655
22. Guerra S, Pinto AT, Ribeiro J, et al. Stability of risk factors for cardiovascular diseases in Portuguese children and adolescents from the Porto area. Rev Port Cardiol. 2003;22(2):167-182
23. Twisk JW, Kemper HC, van Mechelen W, et al. Tracking of risk factors for coronary heart disease over a 14-year period: a comparison between lifestyle and biologic risk factors with data from the Amsterdam Growth and Health Study. Am J Epidemiol. 1997;145(10):888-898
24. Katzmarzyk PT, Perusse L, Malina RM, et al. Stability of indicators of the metabolic syndrome from childhood and adolescence to young adulthood: the Quebec Family Study. J Clin Epidemiol. 2001;54(2):190-195
25. Andersen LB, Haraldsdottir J. Tracking of cardiovascular disease risk factors including maximal oxygen uptake and physical activity from late teenage to adulthood. An 8-year follow-up study. J Intern Med. 1993;234(3):309-315
26. Pagnan A, Ambrosio GB, Vincenzi M, et al. Precursors of atherosclerosis in children: the Cittadella study. Follow-up and tracking of total serum cholesterol, triglycerides, and blood glucose. Prev Med. 1982;11(4):381-390
27. Steinberger J, Daniels SR, Eckel RH, et al. Progress and Challenges in Metabolic Syndrome in Children and Adolescents. A Scientifi c Statement From the American Heart Association Atherosclerosis, Hypertension, and Obesity in the Young Committee of the Council on Cardiovascular Disease in the Young; Council on Cardiovascular Nursing; and Council on Nutrition, Physical Activity, and Metabolism. Circulation. 2009;119(4):628-647
28. Chen W, Srinivasan SR, Li S, et al. Metabolic syndrome variables at low levels in childhood are benefi cially associated with adulthood cardiovascular risk: the Bogalusa Heart Study. Diabetes Care. 2005;28(1):126-131
29. Eisenmann JC, Welk GJ, Wickel EE, et al. Stability of variables associated with the metabolic syndrome from adolescence to adulthood: the Aerobics Center Longitudinal Study. Am J Hum Biol. 2004;16(6):690-696
30. Bao W, Srinivasan SR, Wattigney WA, et al. Persistence of multiple cardiovascular risk clustering related to syndrome X from childhood to young adulthood. The Bogalusa Heart Study. Arch Intern Med. 1994;154(16):1842-1847
31. Andersen LB, Hasselstrom H, Gronfeldt V, et al. The relationship between physical fi tness and clustered risk, and tracking of clustered risk from adolescence to young adulthood: eight years follow-up in the Danish Youth and Sport Study. Int J Behav Nutr Phys Act. 2004;1(1):6.
32. Raitakari OT, Porkka KV, Rasanen L, 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. J Clin Epidemiol. 1994;47(10):1085-1093
33. Twisk JW, Boreham C, Cran G, et al. Clustering of biological risk factors for cardiovascular disease and the longitudinal relationship with lifestyle of an adolescent population: the Northern Ireland Young Hearts Project. J Cardiovasc Risk. 1999;6(6):355-362
34. Chen W, Bao W, Begum S, et al. Age-related patterns of the clustering of cardiovascular risk variables of syndrome X from childhood to young adulthood in a population made up of black and white subjects: the Bogalusa Heart Study. Diabetes. 2000;49(6):1042-1048
35. Smoak CG, Burke GL, Webber LS, et al. Relation of obesity to clustering of cardiovascular disease risk factors in children and young adults. The Bogalusa Heart Study. Am J Epidemiol. 1987;125(3):364-372
36. Foulkes MAD, C.E. An index of tracking for longitudinal data. Biometrics. 1981;37:439-446
37. McMahan CA. An index of tracking. Biometrics. 1981;37: 447-455
38. Schneiderman ED, Kowalski CJ, Ten Have TR A. GAUSS program for computing and index of tracking from longitudinal observations. Am J Hum Biol. 1990;2:475-490
39. Chen W, Srinivasan SR, Li S, et al. Clustering of long-term trends in metabolic syndrome variables from childhood to adulthood in Blacks and Whites: the Bogalusa Heart Study. Am J Epidemiol. 2007;166(5):527-533
40. Malina RM. Tracking of physical activity and physical fi tness across the lifespan. Res Q Exerc Sport. 1996;67(3 Suppl): S48-57.
41. Garnett SP, Baur LA, Srinivasan S, et al. Body mass index and waist circumference in midchildhood and adverse cardiovascular disease risk clustering in adolescence. Am J Clin Nutr. 2007;86(3):549-555
42. Twisk JW, Kemper HC, Mellenbergh GJ, et al. Relation between the longitudinal development of lipoprotein levels and biological parameters during adolescence and young adulthood in Amsterdam, The Netherlands. J Epidemiol Community Health. 1996;50(5):505-511
43. Morrison JA, Friedman LA, Harlan WR, et al. Development of the metabolic syndrome in black and white adolescent girls: a longitudinal assessment. Pediatrics. 2005;116(5):1178-1182
44. Srinivasan SR, Myers L, Berenson GS. Predictability of childhood adiposity and insulin for developing insulin resistance syndrome (syndrome X) in young adulthood: the Bogalusa Heart Study. Diabetes. 2002;51(1):204-209
45. van Lenthe FJ, van Mechelen W, Kemper HC, et al. Association of a central pattern of body fat with blood pressure and lipoproteins from adolescence into adulthood. The Amsterdam Growth and Health Study. Am J Epidemiol. 1998;147(7):686-693
46. Alberti KG, Zimmet P, Shaw J. The metabolic syndrome\ a new worldwide defi nition. Lancet. 2005;366(9491): 1059-1062
47. Alberti KG, Zimmet PZ. Defi nition, diagnosis and classifi cation of diabetes mellitus and its complications. Part 1: diagnosis and classifi cation of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998;15(7):539-553
48. Grundy SM, Cleeman JI, Daniels SR, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Sci-entifi c Statement. Circulation. 2005;112(17): 2735-2752
49. Guo S, Beckett L, Chumlea WC, et al. Serial analysis of plasma lipids and lipoproteins from individuals 9-21 y of age. Am J Clin Nutr. 1993;58(1):61-67
50. Maia JA, Lefevre J, Claessens A, et al. Tracking of physical fi tness during adolescence: a panel study in boys. Med Sci Sports Exerc. 2001;33(5):765-771