Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 117

1.

Predicting metabolic syndrome in obese children and adolescents: look, measure and ask.

Santoro N, Amato A, Grandone A, Brienza C, Savarese P, Tartaglione N, Marzuillo P, Perrone L, Miraglia Del Giudice E.

Obes Facts. 2013;6(1):48-56. doi: 10.1159/000348625. Epub 2013 Feb 21.

2.

The prevalence, risk factors, and screening measure for prediabetes and diabetes among Emirati overweight/obese children and adolescents.

Al Amiri E, Abdullatif M, Abdulle A, Al Bitar N, Afandi EZ, Parish M, Darwiche G.

BMC Public Health. 2015 Dec 24;15:1298. doi: 10.1186/s12889-015-2649-6.

3.

[Prevalence of carbohydrate metabolism disturbances in a population of children and adolescents with severe obesity].

Guijarro De Armas MG, Monereo Megias S, Civantos Modino S, Montaño Martínez JM, Iglesias Bolaños P, Durán Martínez M.

Endocrinol Nutr. 2010 Dec;57(10):467-71. doi: 10.1016/j.endonu.2010.09.002. Epub 2010 Nov 3. Spanish.

PMID:
21051299
4.

White blood cell count may identify abnormal cardiometabolic phenotype and preclinical organ damage in overweight/obese children.

Di Bonito P, Pacifico L, Chiesa C, Invitti C, Miraglia Del Giudice E, Baroni MG, Moio N, Pellegrin MC, Tomat M, Licenziati MR, Manco M, Maffeis C, Valerio G; “CARdiometabolic risk factors in overweight and obese children in ITALY” (CARITALY) Study Group.

Nutr Metab Cardiovasc Dis. 2016 Jun;26(6):502-9. doi: 10.1016/j.numecd.2016.01.013. Epub 2016 Feb 9.

PMID:
27048715
5.

Use of the waist-height ratio to predict metabolic syndrome in obese children and adolescents.

Nambiar S, Truby H, Davies PS, Baxter K.

J Paediatr Child Health. 2013 Apr;49(4):E281-7. doi: 10.1111/jpc.12147. Epub 2013 Mar 25.

PMID:
23521181
6.

Fasting plasma glucose as initial screening for diabetes and prediabetes in irish adults: The Diabetes Mellitus and Vascular health initiative (DMVhi).

Sinnott M, Kinsley BT, Jackson AD, Walsh C, O'Grady T, Nolan JJ, Gaffney P, Boran G, Kelleher C, Carr B.

PLoS One. 2015 Apr 15;10(4):e0122704. doi: 10.1371/journal.pone.0122704. eCollection 2015.

7.

The vitamin D receptor (VDR) gene rs11568820 variant is associated with type 2 diabetes and impaired insulin secretion in Italian adult subjects, and associates with increased cardio-metabolic risk in children.

Sentinelli F, Bertoccini L, Barchetta I, Capoccia D, Incani M, Pani MG, Loche S, Angelico F, Arca M, Morini S, Manconi E, Lenzi A, Cossu E, Leonetti F, Baroni MG, Cavallo MG.

Nutr Metab Cardiovasc Dis. 2016 May;26(5):407-13. doi: 10.1016/j.numecd.2016.02.004. Epub 2016 Feb 19.

PMID:
27052925
8.

Association Between Metabolic Syndrome Components and Polyneuropathy in an Obese Population.

Callaghan BC, Xia R, Reynolds E, Banerjee M, Rothberg AE, Burant CF, Villegas-Umana E, Pop-Busui R, Feldman EL.

JAMA Neurol. 2016 Dec 1;73(12):1468-1476. doi: 10.1001/jamaneurol.2016.3745.

9.

Neck circumference: a useful screening tool of cardiovascular risk in children.

Androutsos O, Grammatikaki E, Moschonis G, Roma-Giannikou E, Chrousos GP, Manios Y, Kanaka-Gantenbein C.

Pediatr Obes. 2012 Jun;7(3):187-95. doi: 10.1111/j.2047-6310.2012.00052.x. Epub 2012 Apr 13.

PMID:
22505226
10.

Prevalence of glucose intolerance among children and adolescents in urban South India (ORANGE-2).

Ranjani H, Sonya J, Anjana RM, Mohan V.

Diabetes Technol Ther. 2013 Jan;15(1):13-9. doi: 10.1089/dia.2012.0236. Epub 2012 Nov 14.

PMID:
23151017
11.

Risk factors of metabolic syndrome among hypertensive patients at Hawassa University Comprehensive Specialized Hospital, Southern Ethiopia.

Tadewos A, Egeno T, Amsalu A.

BMC Cardiovasc Disord. 2017 Aug 8;17(1):218. doi: 10.1186/s12872-017-0648-5.

12.

Prediabetes in patients treated with antipsychotic drugs.

Manu P, Correll CU, van Winkel R, Wampers M, De Hert M.

J Clin Psychiatry. 2012 Apr;73(4):460-6. doi: 10.4088/JCP.10m06822. Epub 2011 Dec 27.

PMID:
22225552
13.

Prevalence of insulin resistance and its association with metabolic syndrome criteria among Bolivian children and adolescents with obesity.

Caceres M, Teran CG, Rodriguez S, Medina M.

BMC Pediatr. 2008 Aug 12;8:31. doi: 10.1186/1471-2431-8-31.

14.

Serum Levels of sRAGE Are Associated with Body Measurements, but Not Glycemic Parameters in Patients with Prediabetes.

Guclu M, Ali A, Eroglu DU, Büyükuysal SO, Cander S, Ocak N.

Metab Syndr Relat Disord. 2016 Feb;14(1):33-9. doi: 10.1089/met.2015.0078. Epub 2015 Nov 16.

PMID:
26569122
15.

Oral glucose tolerance test in Italian overweight/obese children and adolescents results in a very high prevalence of impaired fasting glycaemia, but not of diabetes.

Cambuli VM, Incani M, Pilia S, Congiu T, Cavallo MG, Cossu E, Sentinelli F, Mariotti S, Loche S, Baroni MG.

Diabetes Metab Res Rev. 2009 Sep;25(6):528-34. doi: 10.1002/dmrr.980.

PMID:
19496065
16.

Prevalence of diabetes and predictions of its risks using anthropometric measures in southwest rural areas of China.

Zhao X, Zhu X, Zhang H, Zhao W, Li J, Shu Y, Li S, Yang M, Cai L, Zhou J, Li Y.

BMC Public Health. 2012 Sep 24;12:821. doi: 10.1186/1471-2458-12-821.

17.

Parental diabetes, pubertal stage, and extreme obesity are the main risk factors for prediabetes in children and adolescents: a simple risk score to identify children at risk for prediabetes.

Reinehr T, Wabitsch M, Kleber M, de Sousa G, Denzer C, Toschke AM.

Pediatr Diabetes. 2009 Sep;10(6):395-400. doi: 10.1111/j.1399-5448.2008.00492.x. Epub 2008 Dec 18.

PMID:
19140901
18.

Evaluation of glucose intolerance in adolescents relative to adults with type 2 diabetes mellitus.

Babaoğlu K, Hatun S, Arslanoğlu I, Işgüven P, Baş F, Ercan O, Darendeliler F, Bundak R, Saka N, Günöz H, Bereket A, Memioğlu N, Neyzi O.

J Pediatr Endocrinol Metab. 2006 Nov;19(11):1319-26.

PMID:
17220060
19.

Pancreatic fat and β-cell function in overweight/obese children with nonalcoholic fatty liver disease.

Pacifico L, Di Martino M, Anania C, Andreoli GM, Bezzi M, Catalano C, Chiesa C.

World J Gastroenterol. 2015 Apr 21;21(15):4688-95. doi: 10.3748/wjg.v21.i15.4688.

20.

Prevalence and determinants of metabolic syndrome in Qatar: results from a National Health Survey.

Al-Thani MH, Al-Thani AA, Cheema S, Sheikh J, Mamtani R, Lowenfels AB, Al-Chetachi WF, Almalki BA, Hassan Khalifa SA, Haj Bakri AO, Maisonneuve P.

BMJ Open. 2016 Sep 6;6(9):e009514. doi: 10.1136/bmjopen-2015-009514.

Supplemental Content

Support Center