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Items: 1 to 20 of 1407

1.

Prevalence of Metabolic Syndrome and Insulin Resistance in Children and Adolescent of Qazvin, Iran.

Jalilolghadr S, Javadi A, Mahram M, Farshidgohar M, Javadi M.

Malays J Med Sci. 2015 Nov;22(6):32-39.

PMID:
28223883
2.

CE: Original Research: Examining the Links Between Lifestyle Factors and Metabolic Syndrome.

Chang SH, Chen MC, Chien NH, Wu LY.

Am J Nurs. 2016 Dec;116(12):26-36.

PMID:
27831954
3.

Truncal and leg fat associations with metabolic risk factors among Chinese adults.

Yang M, Lin J, Ma X, Zhu C, Wei C, Wang L, Jiao J, Zhu S.

Asia Pac J Clin Nutr. 2016 Dec;25(4):798-809. doi: 10.6133/apjcn.092015.35.

4.

Improvement of Metabolic Parameters Resulted from Levothyroxine Therapy in Hypothyroid Type 2 Diabetes Mellitus Patient.

Harbuwono DS, Pramono LA, Hendarto H, Subekti I.

Acta Med Indones. 2016 Apr;48(2):145-7.

5.

[Association of leptin receptor gene polymorphrism with metabolic syndrome in older Han adults from major cities in China].

Wu J, Zhuo Q, Chen X, Tian Y, Piao J, Yang X.

Wei Sheng Yan Jiu. 2016 May;45(3):376-82. Chinese.

PMID:
27459797
6.

Does metabolic health in overweight and obesity persist? - Individual variation and cardiovascular mortality over two decades.

Kaur A, Johnston DG, Godsland IF.

Eur J Endocrinol. 2016 Aug;175(2):133-43. doi: 10.1530/EJE-16-0095.

PMID:
27412654
7.

The ZJU index: a useful indicator for recognizing insulin resistance in the Chinese general population.

Ji B, Qu H, Wang H, Wei H, Deng H.

Acta Diabetol. 2016 Oct;53(5):817-23. doi: 10.1007/s00592-016-0878-5.

PMID:
27393006
8.

[Association of colorectal adenoma and metabolic syndrome and relevant parameters].

Liu Z, Hu X, Cui S, Gu J, Joe King Man F, Fion Siu Yin C, Peng J.

Zhonghua Wei Chang Wai Ke Za Zhi. 2016 Jun;19(6):675-9. Chinese.

PMID:
27353103
9.

Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses.

Carson V, Tremblay MS, Chaput JP, Chastin SF.

Appl Physiol Nutr Metab. 2016 Jun;41(6 Suppl 3):S294-302. doi: 10.1139/apnm-2016-0026.

10.

Association of Lipid Accumulation Product with Cardio-Metabolic Risk Factors in Postmenopausal Women.

Namazi Shabestari A, Asadi M, Jouyandeh Z, Qorbani M, Kelishadi R.

Acta Med Iran. 2016 Jun;54(6):370-5.

11.

Influence of weight status on physical and mental health in Moroccan perimenopausal women.

Oudghiri DE, Ruiz-Cabello P, Camiletti-Moirón D, Fernández Mdel M, Aranda P, Aparicio VA.

Pan Afr Med J. 2016 Mar 31;23:153. doi: 10.11604/pamj.2016.23.153.8208.

12.
13.

Effects of telmisartan and pioglitazone on high fructose induced metabolic syndrome in rats.

Shahataa MG, Mostafa-Hedeab G, Ali EF, Mahdi EA, Mahmoud FA.

Can J Physiol Pharmacol. 2016 Aug;94(8):907-17. doi: 10.1139/cjpp-2016-0090.

PMID:
27245695
14.

THE RELATIONSHIP BETWEEN METABOLIC SYNDROME AND ITS COMPONENTS WITH SOCIO-ECONOMIC STATUS AMONG ADOLESCENTS IN SHIRAZ, SOUTHERN IRAN.

Bahrani R, Chan YM, Khor GL, Rahman HA, Esmailzadeh A, Wong TW.

Southeast Asian J Trop Med Public Health. 2016 Mar;47(2):263-76.

PMID:
27244965
15.

Cardiometabolic risk markers of normal weight and excess body weight in Brazilian adolescents.

Mastroeni SS, Mastroeni MF, Gonçalves Mde C, Debortoli G, da Silva NN, Bernal RT, Adamovski M, Veugelers PJ, Rondó PH.

Appl Physiol Nutr Metab. 2016 Jun;41(6):659-65. doi: 10.1139/apnm-2015-0632.

PMID:
27227571
16.

[Diabetic dyslipidaemia and the atherosclerosis].

Márk L, Dani G.

Orv Hetil. 2016 May 8;157(19):746-52. doi: 10.1556/650.2016.30441. Review. Hungarian.

PMID:
27133274
17.

Use of an electronic metabolic monitoring form in a mental health service - a retrospective file audit.

Happell B, Platania-Phung C, Gaskin CJ, Stanton R.

BMC Psychiatry. 2016 Apr 19;16:109. doi: 10.1186/s12888-016-0814-9.

18.

Sedentary Behavior Predicts Changes in Cardiometabolic Risk in Professional Workers: A One-Year Prospective Study.

Zhou Z, Xi Y, Zhang F, Lu Q, Zhang F, Huang D, Ren H, Wang K, Yin Z.

J Occup Environ Med. 2016 Apr;58(4):e117-23. doi: 10.1097/JOM.0000000000000673.

PMID:
27058488
19.

Evaluation of the associations between changes in intraocular pressure and metabolic syndrome parameters: a retrospective cohort study in Japan.

Yokomichi H, Kashiwagi K, Kitamura K, Yoda Y, Tsuji M, Mochizuki M, Sato M, Shinohara R, Mizorogi S, Suzuki K, Yamagata Z.

BMJ Open. 2016 Mar 24;6(3):e010360. doi: 10.1136/bmjopen-2015-010360.

20.
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