230 related articles for article (PubMed ID: 29648916)
1. Comparison of Lipid Accumulation Product Index with Body Mass Index and Waist Circumference as a Predictor of Metabolic Syndrome in Indian Population.
Ray L; Ravichandran K; Nanda SK
Metab Syndr Relat Disord; 2018 Jun; 16(5):240-245. PubMed ID: 29648916
[TBL] [Abstract][Full Text] [Related]
2. The lipid accumulation product is a powerful tool to predict metabolic syndrome in undiagnosed Brazilian adults.
Nascimento-Ferreira MV; Rendo-Urteaga T; Vilanova-Campelo RC; Carvalho HB; da Paz Oliveira G; Paes Landim MB; Torres-Leal FL
Clin Nutr; 2017 Dec; 36(6):1693-1700. PubMed ID: 28081980
[TBL] [Abstract][Full Text] [Related]
3. LIPID ACCUMULATION PRODUCT, VISCERAL ADIPOSITY INDEX, AND CHINESE VISCERAL ADIPOSITY INDEX AS MARKERS OF CARDIOMETABOLIC RISK IN ADULT GROWTH HORMONE DEFICIENCY PATIENTS: A CROSS-SECTIONAL STUDY.
Xie X; Li Q; Zhang L; Ren W
Endocr Pract; 2018 Jan; 24(1):33-39. PubMed ID: 29144802
[TBL] [Abstract][Full Text] [Related]
4. Gender-specific accuracy of lipid accumulation product index for the screening of metabolic syndrome in general adults: a meta-analysis and comparative analysis with other adiposity indicators.
Witarto BS; Witarto AP; Visuddho V; Wungu CDK; Maimunah U; Rejeki PS; Oceandy D
Lipids Health Dis; 2024 Jun; 23(1):198. PubMed ID: 38926783
[TBL] [Abstract][Full Text] [Related]
5. Obesity and lipid-related parameters for predicting metabolic syndrome in Chinese elderly population.
Gu Z; Zhu P; Wang Q; He H; Xu J; Zhang L; Li D; Wang J; Hu X; Ji G; Zhang L; Liu B
Lipids Health Dis; 2018 Dec; 17(1):289. PubMed ID: 30572889
[TBL] [Abstract][Full Text] [Related]
6. The discriminative ability of waist circumference, body mass index and waist-to-hip ratio in identifying metabolic syndrome: Variations by age, sex and race.
Cheong KC; Ghazali SM; Hock LK; Subenthiran S; Huey TC; Kuay LK; Mustapha FI; Yusoff AF; Mustafa AN
Diabetes Metab Syndr; 2015; 9(2):74-8. PubMed ID: 25819369
[TBL] [Abstract][Full Text] [Related]
7. Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study.
Wang H; Liu A; Zhao T; Gong X; Pang T; Zhou Y; Xiao Y; Yan Y; Fan C; Teng W; Lai Y; Shan Z
BMJ Open; 2017 Sep; 7(9):e016062. PubMed ID: 28928179
[TBL] [Abstract][Full Text] [Related]
8. Visceral Adiposity Index and Lipid Accumulation Product Index: Two Alternate Body Indices to Identify Chronic Kidney Disease among the Rural Population in Northeast China.
Dai D; Chang Y; Chen Y; Chen S; Yu S; Guo X; Sun Y
Int J Environ Res Public Health; 2016 Dec; 13(12):. PubMed ID: 27983609
[TBL] [Abstract][Full Text] [Related]
9. Anthropometric cutoff values for predicting metabolic syndrome in a Saudi community: from the SAUDI-DM study.
Al-Rubean K; Youssef AM; AlFarsi Y; Al-Sharqawi AH; Bawazeer N; AlOtaibi MT; AlRumaih FI; Zaidi MS
Ann Saudi Med; 2017; 37(1):21-30. PubMed ID: 28151453
[TBL] [Abstract][Full Text] [Related]
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. PubMed ID: 27306343
[TBL] [Abstract][Full Text] [Related]
11. The association of anthropometric indices in adolescence with the occurrence of the metabolic syndrome in early adulthood: Tehran Lipid and Glucose Study (TLGS).
Barzin M; Asghari G; Hosseinpanah F; Mirmiran P; Azizi F
Pediatr Obes; 2013 Jun; 8(3):170-7. PubMed ID: 23042576
[TBL] [Abstract][Full Text] [Related]
12. Waist circumference is a potential indicator of metabolic syndrome in Singaporean Chinese.
Nurjono M; Lee J
Ann Acad Med Singap; 2013 May; 42(5):241-5. PubMed ID: 23771112
[TBL] [Abstract][Full Text] [Related]
13. Adiposity measurements in association with metabolic syndrome in older men have different clinical implications.
Hsu CH; Lin JD; Hsieh CH; Lau SC; Chiang WY; Chen YL; Pei D; Chang JB
Nutr Res; 2014 Mar; 34(3):219-25. PubMed ID: 24655488
[TBL] [Abstract][Full Text] [Related]
14. Should Waist Circumference Cutoffs in the Context of Cardiometabolic Risk Factor Assessment be Specific to Sex, Age, and BMI?
Ghachem A; Paquin J; Brochu M; Dionne IJ
Metab Syndr Relat Disord; 2018 Sep; 16(7):366-374. PubMed ID: 29975594
[TBL] [Abstract][Full Text] [Related]
15. Waist circumference shows the highest predictive value for metabolic syndrome, and waist-to-hip ratio for its components, in Spanish adolescents.
Perona JS; Schmidt-RioValle J; Rueda-Medina B; Correa-Rodríguez M; González-Jiménez E
Nutr Res; 2017 Sep; 45():38-45. PubMed ID: 29037330
[TBL] [Abstract][Full Text] [Related]
16. Lipid accumulation product and visceral adiposity ındex: two new indices to predict metabolic syndrome in chronic kidney disease.
Biyik Z; Guney I
Eur Rev Med Pharmacol Sci; 2019 Mar; 23(5):2167-2173. PubMed ID: 30915762
[TBL] [Abstract][Full Text] [Related]
17. Performance of anthropometric indicators as predictors of metabolic syndrome in Brazilian adolescents.
Oliveira RG; Guedes DP
BMC Pediatr; 2018 Feb; 18(1):33. PubMed ID: 29415673
[TBL] [Abstract][Full Text] [Related]
18. The six obesity indices, which one is more compatible with metabolic syndrome? A population based study.
Motamed N; Sohrabi M; Poustchi H; Maadi M; Malek M; Keyvani H; Amoli MS; Zamani F
Diabetes Metab Syndr; 2017; 11(3):173-177. PubMed ID: 27658893
[TBL] [Abstract][Full Text] [Related]
19. The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone.
Lopez-Lopez JP; Cohen DD; Ney-Salazar D; Martinez D; Otero J; Gomez-Arbelaez D; Camacho PA; Sanchez-Vallejo G; Arcos E; Narvaez C; Garcia H; Perez M; Molina DI; Cure C; Sotomayor A; Rico Á; Hernandez-Triana E; Duran M; Cotes F; Leong DP; Rangarajan S; Yusuf S; Lopez-Jaramillo P
Cardiovasc Diabetol; 2021 Mar; 20(1):68. PubMed ID: 33752666
[TBL] [Abstract][Full Text] [Related]
20. Superior Role of Waist Circumference to Body-Mass Index in the Prediction of Cardiometabolic Risk in Dyslipidemic Patients.
Cibičková Ľ; Langová K; Vaverková H; Lukeš J; Cibiček N; Karásek D
Physiol Res; 2019 Dec; 68(6):931-938. PubMed ID: 31647298
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
