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Items: 1 to 20 of 87

1.

Genomic risk models improve prediction of longitudinal lipid levels in children and young adults.

Wineinger NE, Harper A, Libiger O, Srinivasan SR, Chen W, Berenson GS, Schork NJ.

Front Genet. 2013 May 21;4:86. doi: 10.3389/fgene.2013.00086. eCollection 2013.

2.

Associations of oral contraceptive use with serum lipids and lipoproteins in young women: the Bogalusa Heart Study.

Greenlund KJ, Webber LS, Srinivasan S, Wattigney W, Johnson C, Berenson GS.

Ann Epidemiol. 1997 Nov;7(8):561-7.

PMID:
9408552
3.
4.

Advanced lipoprotein testing does not improve identification of subclinical atherosclerosis in young adults: the Bogalusa Heart Study.

Tzou WS, Douglas PS, Srinivasan SR, Chen W, Berenson G, Stein JH.

Ann Intern Med. 2005 May 3;142(9):742-50.

PMID:
15867406
5.
6.

Tracking of serum lipids and lipoproteins from childhood to adulthood. The Bogalusa Heart Study.

Webber LS, Srinivasan SR, Wattigney WA, Berenson GS.

Am J Epidemiol. 1991 May 1;133(9):884-99.

PMID:
2028978
7.
8.

Fasting and nonfasting lipid levels: influence of normal food intake on lipids, lipoproteins, apolipoproteins, and cardiovascular risk prediction.

Langsted A, Freiberg JJ, Nordestgaard BG.

Circulation. 2008 Nov 11;118(20):2047-56. doi: 10.1161/CIRCULATIONAHA.108.804146. Epub 2008 Oct 27.

9.

The relationship between parental history of vascular disease and cardiovascular disease risk factors in children: the Bogalusa Heart Study.

Shear CL, Webber LS, Freedman DS, Srinivasan SR, Berenson GS.

Am J Epidemiol. 1985 Nov;122(5):762-71.

PMID:
3876762
10.

Simultaneous prediction of hyperglycemia and dyslipidemia in school children in Santa Catarina State, Brazil based on waist circumference measurement.

Rosini N, Machado MJ, Webster IZ, Moura SA, Cavalcante Lda S, da Silva EL.

Clin Biochem. 2013 Dec;46(18):1837-41. doi: 10.1016/j.clinbiochem.2013.08.015. Epub 2013 Sep 4.

PMID:
24012695
11.

Adult dyslipidemia prediction is improved by repeated measurements in childhood and young adulthood. The Cardiovascular Risk in Young Finns Study.

Nuotio J, Oikonen M, Magnussen CG, Viikari JS, Hutri-Kähönen N, Jula A, Thomson R, Sabin MA, Daniels SR, Raitakari OT, Juonala M.

Atherosclerosis. 2015 Apr;239(2):350-7. doi: 10.1016/j.atherosclerosis.2015.02.004. Epub 2015 Feb 7.

PMID:
25682034
12.

C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women.

Ridker PM, Hennekens CH, Buring JE, Rifai N.

N Engl J Med. 2000 Mar 23;342(12):836-43.

13.

Associations of lipoprotein lipase gene polymorphisms with longitudinal plasma lipid trends in young adults: The Coronary Artery Risk Development in Young Adults (CARDIA) study.

Tang W, Apostol G, Schreiner PJ, Jacobs DR Jr, Boerwinkle E, Fornage M.

Circ Cardiovasc Genet. 2010 Apr;3(2):179-86. doi: 10.1161/CIRCGENETICS.109.913426. Epub 2010 Feb 11.

14.

Usefulness of childhood low-density lipoprotein cholesterol level in predicting adult dyslipidemia and other cardiovascular risks. The Bogalusa Heart Study.

Bao W, Srinivasan SR, Wattigney WA, Bao W, Berenson GS.

Arch Intern Med. 1996 Jun 24;156(12):1315-20.

PMID:
8651840
15.

Risk scores of common genetic variants for lipid levels influence atherosclerosis and incident coronary heart disease.

Isaacs A, Willems SM, Bos D, Dehghan A, Hofman A, Ikram MA, Uitterlinden AG, Oostra BA, Franco OH, Witteman JC, van Duijn CM.

Arterioscler Thromb Vasc Biol. 2013 Sep;33(9):2233-9. doi: 10.1161/ATVBAHA.113.301236. Epub 2013 Jun 13.

16.

Association of fasting insulin level with serum lipid and lipoprotein levels in children, adolescents, and young adults: the Bogalusa Heart Study.

Jiang X, Srinivasan SR, Webber LS, Wattigney WA, Berenson GS.

Arch Intern Med. 1995 Jan 23;155(2):190-6.

PMID:
7811129
17.

Trends in serum lipid levels during 1980-1992 in children and young adults. The Cardiovascular Risk in Young Finns Study.

Porkka KV, Raitakari OT, Leino A, Laitinen S, Räsänen L, Rönnemaa T, Marniemi J, Lehtimäki T, Taimela S, Dahl M, Uhari M, Akerblom HK, Viikari JS.

Am J Epidemiol. 1997 Jul 1;146(1):64-77.

PMID:
9215224
18.

Targeting low HDL-cholesterol to decrease residual cardiovascular risk in the managed care setting.

Cziraky MJ, Watson KE, Talbert RL.

J Manag Care Pharm. 2008 Oct;14(8 Suppl):S3-28; quiz S30-1. Review.

PMID:
19891279
19.

Cardiovascular risk factors from birth to 7 years of age: the Bogalusa Heart Study. Serum lipids and lipoproteins.

Freedman DS, Srinivasan SR, Cresanta JL, Webber LS, Berenson GS.

Pediatrics. 1987 Nov;80(5 Pt 2):789-96.

PMID:
3478647

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