Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 88

1.

Resting heart rate: its correlations and potential for screening metabolic dysfunctions in adolescents.

Fernandes RA, Vaz Ronque ER, Venturini D, Barbosa DS, Silva DP, Cogo CT, Carnelossi MS, Batista MB, Coelho-E-Silva MJ, Sardinha LB, Cyrino ES.

BMC Pediatr. 2013 Apr 5;13:48. doi: 10.1186/1471-2431-13-48.

2.

Resting heart rate as a predictor of metabolic dysfunctions in obese children and adolescents.

Freitas Júnior IF, Monteiro PA, Silveira LS, Cayres SU, Antunes BM, Bastos KN, Codogno JS, Sabino JP, Fernandes RA.

BMC Pediatr. 2012 Jan 12;12:5. doi: 10.1186/1471-2431-12-5.

3.
5.

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
6.

Prevalence of dyslipidemia and associated risk factors in Turkish adults.

Bayram F, Kocer D, Gundogan K, Kaya A, Demir O, Coskun R, Sabuncu T, Karaman A, Cesur M, Rizzo M, Toth PP, Gedik V.

J Clin Lipidol. 2014 Mar-Apr;8(2):206-16. doi: 10.1016/j.jacl.2013.12.011. Epub 2014 Jan 19.

PMID:
24636181
7.

Lipid and lipoprotein profiles and prevalence of dyslipidemia in Mexican adolescents.

Posadas-Sánchez R, Posadas-Romero C, Zamora-González J, Mendoza-Pérez E, Cardoso-Saldaña G, Yamamoto-Kimura L.

Metabolism. 2007 Dec;56(12):1666-72.

PMID:
17998019
8.

[Change in the prevalence of obesity phenotypes and cardiometabolic disorders among children aged 6- 17 in Beijing during 2004- 2013].

Yan Y, Cheng H, Zhao X, Liu J, Hou D, Su Z, Huang G, Ding W, Liu Q, Mi J.

Zhonghua Yu Fang Yi Xue Za Zhi. 2016 Jan;50(1):34-9. doi: 10.3760/cma.j.issn.0253-9624.2016.01.007. Chinese.

PMID:
26792501
9.

Elevated resting heart rate is associated with dyslipidemia in middle-aged and elderly Chinese.

Sun JC, Huang XL, Deng XR, Lv XF, Lu JL, Chen YH, Bi YF, Wang WQ, Xu M, Ning G.

Biomed Environ Sci. 2014 Aug;27(8):601-5. doi: 10.3967/bes2014.092.

10.

Frequency of secondary dyslipidemia in obese children.

Korsten-Reck U, Kromeyer-Hauschild K, Korsten K, Baumstark MW, Dickhuth HH, Berg A.

Vasc Health Risk Manag. 2008;4(5):1089-94.

11.

Body mass index for predicting hyperglycemia and serum lipid changes in Brazilian adolescents.

Vieira AC, Alvarez MM, Kanaan S, Sichieri R, Veiga GV.

Rev Saude Publica. 2009 Feb;43(1):44-52. Epub 2008 Oct 31.

12.

Identifying associations between sedentary time and cardio-metabolic risk factors in working adults using objective and subjective measures: a cross-sectional analysis.

Honda T, Chen S, Kishimoto H, Narazaki K, Kumagai S.

BMC Public Health. 2014 Dec 19;14:1307. doi: 10.1186/1471-2458-14-1307.

13.

Non-high-density lipoprotein cholesterol and other lipid indices vs elevated glucose risk in Arab adolescents.

Al-Daghri NM, Aljohani NJ, Al-Attas OS, Al-Saleh Y, Wani K, Alnaami AM, Alfawaz H, Al-Ajlan AS, Kumar S, Chrousos GP, Alokail MS.

J Clin Lipidol. 2015 Jan-Feb;9(1):35-41. doi: 10.1016/j.jacl.2014.11.001. Epub 2014 Nov 13.

PMID:
25670358
14.

Fitness, fatness and cardiovascular profile in South Spanish and North Moroccan women.

Aparicio VA, Ortega FB, Carbonell Baeza A, Fernández MM, Senhaji M, Ruiz JR, Errami M, Delgado Fernández M, Aranda P.

Nutr Hosp. 2011 Sep-Oct;26(5):1188-92. doi: 10.1590/S0212-16112011000500040.

PMID:
22072372
16.

Selected predictor variables and the lipid-lipoprotein profile of prepubertal girls and boys.

Tolfrey K, Campbell IG, Jones AM.

Med Sci Sports Exerc. 1999 Nov;31(11):1550-7.

PMID:
10589856
17.

Pediatric reference data of serum lipids and prevalence of dyslipidemia: Results from a population-based cohort in Germany.

Dathan-Stumpf A, Vogel M, Hiemisch A, Thiery J, Burkhardt R, Kratzsch J, Kiess W.

Clin Biochem. 2016 Jul;49(10-11):740-9. doi: 10.1016/j.clinbiochem.2016.02.010. Epub 2016 Mar 4.

PMID:
26948098
18.

Association of age and sex with cardiovascular risk factors and insulin sensitivity in overweight children and adolescents.

Koenigsberg J, Boyd GS, Gidding SS, Hassink SG, Falkner B.

J Cardiometab Syndr. 2006 Summer;1(4):253-8.

19.

Anthropometric determinants of a clustering of lipid-related metabolic risk factors in overweight and non-overweight adolescents--influence of cardiorespiratory fitness. The Avena study.

Mesa JL, Ortega FB, Ruiz JR, Castillo MJ, Tresaco B, Carreño F, Moreno LA, Gutiérrez A, Bueno M; AVENA study group.

Ann Nutr Metab. 2006;50(6):519-27. Epub 2006 Dec 21.

PMID:
17191028
20.

Waist circumference provides an indication of numerous cardiometabolic risk factors in adults with cerebral palsy.

Ryan JM, Crowley VE, Hensey O, McGahey A, Gormley J.

Arch Phys Med Rehabil. 2014 Aug;95(8):1540-6. doi: 10.1016/j.apmr.2014.03.029. Epub 2014 Apr 15.

Supplemental Content

Support Center