647 related articles for article (PubMed ID: 25499404)
1. Usefulness of measuring both body mass index and waist circumference for the estimation of visceral adiposity and related cardiometabolic risk profile (from the INSPIRE ME IAA study).
Nazare JA; Smith J; Borel AL; Aschner P; Barter P; Van Gaal L; Tan CE; Wittchen HU; Matsuzawa Y; Kadowaki T; Ross R; Brulle-Wohlhueter C; Alméras N; Haffner SM; Balkau B; Després JP;
Am J Cardiol; 2015 Feb; 115(3):307-15. PubMed ID: 25499404
[TBL] [Abstract][Full Text] [Related]
2. The estimation of visceral adipose tissue with a body composition monitor predicts the metabolic syndrome.
Baudrand R; Domínguez JM; Tabilo C; Figueroa D; Jimenez M; Eugenin C; Carvajal C; Moreno M
J Hum Nutr Diet; 2013 Jul; 26 Suppl 1():154-8. PubMed ID: 23634931
[TBL] [Abstract][Full Text] [Related]
3. Waist circumference in children and adolescents correlate with metabolic syndrome and fat deposits in young adults.
Spolidoro JV; Pitrez Filho ML; Vargas LT; Santana JC; Pitrez E; Hauschild JA; Bruscato NM; Moriguchi EH; Medeiros AK; Piva JP
Clin Nutr; 2013 Feb; 32(1):93-7. PubMed ID: 22841400
[TBL] [Abstract][Full Text] [Related]
4. Surrogate markers of visceral adipose tissue in treated HIV-infected patients: accuracy of waist circumference determination.
Falutz J; Rosenthall L; Kotler D; Zona S; Guaraldi G
HIV Med; 2014 Feb; 15(2):98-107. PubMed ID: 24112443
[TBL] [Abstract][Full Text] [Related]
5. Abdominal visceral fat measurement using dual-energy X-ray: association with cardiometabolic risk factors.
Rothney MP; Catapano AL; Xia J; Wacker WK; Tidone C; Grigore L; Xia Y; Ergun DL
Obesity (Silver Spring); 2013 Sep; 21(9):1798-802. PubMed ID: 23696250
[TBL] [Abstract][Full Text] [Related]
6. CT-derived abdominal adiposity: Distributions and better predictive ability than BMI in a nationwide study of 59,429 adults in China.
Zeng Q; Wang L; Dong S; Zha X; Ran L; Li Y; Chen S; Gao J; Li S; Lu Y; Zhang Y; Xiao X; Li Y; Ma X; Gong X; Chen W; Yang Y; Du X; Chen B; Lv Y; Wu Y; Hong G; Pan Y; Jiao J; Yan Y; Qi H; Zhai J; Li K; Zhao K; Wu J; Liu S; Blake GM; Fu H; Fu X; Guo Z; Lemieux I; Després JP; Cheng X;
Metabolism; 2021 Feb; 115():154456. PubMed ID: 33259834
[TBL] [Abstract][Full Text] [Related]
7. Visceral abdominal obesity is associated with an increased risk of irritable bowel syndrome.
Lee CG; Lee JK; Kang YS; Shin S; Kim JH; Lim YJ; Koh MS; Lee JH; Kang HW
Am J Gastroenterol; 2015 Feb; 110(2):310-9. PubMed ID: 25583325
[TBL] [Abstract][Full Text] [Related]
8. Association between exercise-induced change in body composition and change in cardiometabolic risk factors in postmenopausal South Asian women.
Lesser IA; Guenette JA; Hoogbruin A; Mackey DC; Singer J; Gasevic D; Lear SA
Appl Physiol Nutr Metab; 2016 Sep; 41(9):931-7. PubMed ID: 27507007
[TBL] [Abstract][Full Text] [Related]
9. Neck circumference as a measure of neck fat and abdominal visceral fat in Chinese adults.
Li HX; Zhang F; Zhao D; Xin Z; Guo SQ; Wang SM; Zhang JJ; Wang J; Li Y; Yang GR; Yang JK
BMC Public Health; 2014 Apr; 14():311. PubMed ID: 24708638
[TBL] [Abstract][Full Text] [Related]
10. Breast volume is an independent predictor of visceral and ectopic fat in premenopausal women.
Janiszewski PM; Saunders TJ; Ross R
Obesity (Silver Spring); 2010 Jun; 18(6):1183-7. PubMed ID: 19851312
[TBL] [Abstract][Full Text] [Related]
11. Ethnic influences on the relations between abdominal subcutaneous and visceral adiposity, liver fat, and cardiometabolic risk profile: the International Study of Prediction of Intra-Abdominal Adiposity and Its Relationship With Cardiometabolic Risk/Intra-Abdominal Adiposity.
Nazare JA; Smith JD; Borel AL; Haffner SM; Balkau B; Ross R; Massien C; Alméras N; Després JP
Am J Clin Nutr; 2012 Oct; 96(4):714-26. PubMed ID: 22932278
[TBL] [Abstract][Full Text] [Related]
12. DXA-Derived vs Standard Anthropometric Measures for Predicting Cardiometabolic Risk in Middle-Aged Australian Men and Women.
Zhu K; Walsh JP; Murray K; Hunter M; Hui J; Hung J
J Clin Densitom; 2022; 25(3):299-307. PubMed ID: 35177350
[TBL] [Abstract][Full Text] [Related]
13. Simple anthropometric measures to predict visceral adipose tissue area in middle-aged Indonesian men.
Matondang SBRE; Adiandrian B; Karismaputri KS; Marcella C; Prihartono J; Tahapary DL
PLoS One; 2023; 18(1):e0280033. PubMed ID: 36607904
[TBL] [Abstract][Full Text] [Related]
14. Effect of Electroacupuncture on Visceral and Hepatic Fat in Women with Abdominal Obesity: A Randomized Controlled Study Based on Magnetic Resonance Imaging.
Lei H; Chen X; Liu S; Chen Z
J Altern Complement Med; 2017 Apr; 23(4):285-294. PubMed ID: 28394670
[TBL] [Abstract][Full Text] [Related]
15. Measures of abdominal obesity assessed for visceral adiposity and relation to coronary risk.
Onat A; Avci GS; Barlan MM; Uyarel H; Uzunlar B; Sansoy V
Int J Obes Relat Metab Disord; 2004 Aug; 28(8):1018-25. PubMed ID: 15197408
[TBL] [Abstract][Full Text] [Related]
16. Subtraction of subcutaneous fat to improve the prediction of visceral adiposity: exploring a new anthropometric track in overweight and obese youth.
Samouda H; De Beaufort C; Stranges S; Van Nieuwenhuyse JP; Dooms G; Keunen O; Leite S; Vaillant M; Lair ML; Dadoun F
Pediatr Diabetes; 2017 Aug; 18(5):399-404. PubMed ID: 27400675
[TBL] [Abstract][Full Text] [Related]
17. Body mass index, waist circumference, visceral adiposity, and cardiometabolic risk profile.
Kawada T
Am J Cardiol; 2015 Jul; 116(2):336. PubMed ID: 25983279
[No Abstract] [Full Text] [Related]
18. Comparison of waist circumference with body mass index for predicting abdominal adipose tissue.
Oka R; Miura K; Sakurai M; Nakamura K; Yagi K; Miyamoto S; Moriuchi T; Mabuchi H; Yamagishi M; Takeda Y; Hifumi S; Inazu A; Nohara A; Kawashiri MA; Kobayashi J
Diabetes Res Clin Pract; 2009 Jan; 83(1):100-5. PubMed ID: 19019478
[TBL] [Abstract][Full Text] [Related]
19. Relationship between indices of obesity obtained by anthropometry and dual-energy X-ray absorptiometry: The Fourth and Fifth Korea National Health and Nutrition Examination Survey (KNHANES IV and V, 2008-2011).
Kim SG; Ko Kd; Hwang IC; Suh HS; Kay S; Caterson I; Kim KK
Obes Res Clin Pract; 2015; 9(5):487-98. PubMed ID: 25484303
[TBL] [Abstract][Full Text] [Related]
20. Assessment of cardiometabolic risk and prevalence of meeting treatment guidelines among patients with type 2 diabetes stratified according to their use of insulin and/or other diabetic medications: results from INSPIRE ME IAA.
Smith J; Nazare JA; Borel AL; Aschner P; Barter PJ; Van Gaal L; Matsuzawa Y; Kadowaki T; Ross R; Brulle-Wohlhueter C; Alméras N; Haffner SM; Balkau B; Després JP
Diabetes Obes Metab; 2013 Jul; 15(7):629-41. PubMed ID: 23356633
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
