BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

328 related articles for article (PubMed ID: 26497052)

  • 1. Adding anthropometric measures of regional adiposity to BMI improves prediction of cardiometabolic, inflammatory and adipokines profiles in youths: a cross-sectional study.
    Samouda H; de Beaufort C; Stranges S; Guinhouya BC; Gilson G; Hirsch M; Jacobs J; Leite S; Vaillant M; Dadoun F
    BMC Pediatr; 2015 Oct; 15():168. PubMed ID: 26497052
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Degree of association between the body mass index (BMI), waist-hip ratio (WHR), waist-height ratio (WHtR), body adiposity index (BAI) and conicity index (CI) in physically active older adults.
    Cancela-Carral JM; Bezerra P; Lopez-Rodriguez A; Silva B
    Clin Nutr ESPEN; 2023 Dec; 58():335-341. PubMed ID: 38057024
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Association between adiposity indices and cardiometabolic risk factors among adults living in Puerto Rico.
    Palacios C; Pérez CM; Guzmán M; Ortiz AP; Ayala A; Suárez E
    Public Health Nutr; 2011 Oct; 14(10):1714-23. PubMed ID: 21729484
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Current child, but not maternal, snoring is bi-directionally related to adiposity and cardiometabolic risk markers: A cross-sectional and a prospective cohort analysis.
    Farr OM; Rifas-Shiman SL; Oken E; Taveras EM; Mantzoros CS
    Metabolism; 2017 Nov; 76():70-80. PubMed ID: 28774733
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Association between general and central adiposity in childhood, and change in these, with cardiovascular risk factors in adolescence: prospective cohort study.
    Lawlor DA; Benfield L; Logue J; Tilling K; Howe LD; Fraser A; Cherry L; Watt P; Ness AR; Davey Smith G; Sattar N
    BMJ; 2010 Nov; 341():c6224. PubMed ID: 21109577
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Moderating role of 1-minute abdominal test in the relationship between cardiometabolic risk factors and adiponectin concentration in adolescents.
    Tadiotto MC; Corazza PRP; de Menezes-Junior FJ; Tozo TAA; de Moraes-Junior FB; Brand C; Purim KSM; Mota J; Leite N
    BMC Pediatr; 2024 Jan; 24(1):75. PubMed ID: 38263075
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Estimating trunk fat in children according to sex using basic somatic readings: an opportunity for improving evaluation among girls.
    Moya M; Pérez-Fernandez V
    BMC Pediatr; 2021 Oct; 21(1):446. PubMed ID: 34629070
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessment of correlation between conventional anthropometric and imaging-derived measures of body fat composition: a systematic literature review and meta-analysis of observational studies.
    Mouchti S; Orliacq J; Reeves G; Chen Z
    BMC Med Imaging; 2023 Sep; 23(1):127. PubMed ID: 37710156
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Longitudinal association of anthropometric measures of adiposity with cardiometabolic risk factors in postmenopausal women.
    Kabat GC; Heo M; Van Horn LV; Kazlauskaite R; Getaneh A; Ard J; Vitolins MZ; Waring ME; Zaslavsky O; Wassertheil-Smoller S; Rohan TE
    Ann Epidemiol; 2014 Dec; 24(12):896-902. PubMed ID: 25453348
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Indirect Predictors of Visceral Adipose Tissue in Women with Polycystic Ovary Syndrome: A Comparison of Methods.
    Kałużna M; Czlapka-Matyasik M; Bykowska-Derda A; Moczko J; Ruchala M; Ziemnicka K
    Nutrients; 2021 Jul; 13(8):. PubMed ID: 34444654
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Body configuration as a predictor of mortality: comparison of five anthropometric measures in a 12 year follow-up of the Norwegian HUNT 2 study.
    Petursson H; Sigurdsson JA; Bengtsson C; Nilsen TI; Getz L
    PLoS One; 2011; 6(10):e26621. PubMed ID: 22028926
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cardiometabolic measures and cognition in early menopause - Analysis of baseline data from a randomized controlled trial.
    Pal L; Morgan K; Santoro NF; Manson JE; Taylor HS; Miller VM; Brinton EA; Lobo R; Neal-Perry G; Cedars MI; Harman SM; James TT; Gleason CE
    Maturitas; 2022 Aug; 162():58-65. PubMed ID: 35617770
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Morning Serum Cortisol Is Uniquely Associated with Cardiometabolic Risk Independent of Body Composition in Latino Adolescents.
    Toledo-Corral CM; Ding L; Morales JC; Chapman TM; Romero MB; Weigensberg MJ
    Metab Syndr Relat Disord; 2023 May; 21(4):214-221. PubMed ID: 37042653
    [No Abstract]   [Full Text] [Related]  

  • 14. Ultraprocessed Food Consumption and Cardiometabolic Risk Factors in Children.
    Khoury N; Martínez MÁ; Garcidueñas-Fimbres TE; Pastor-Villaescusa B; Leis R; de Las Heras-Delgado S; Miguel-Berges ML; Navas-Carretero S; Portoles O; Pérez-Vega KA; Jurado-Castro JM; Vázquez-Cobela R; Mimbrero G; Andía Horno R; Martínez JA; Flores-Rojas K; Picáns-Leis R; Luque V; Moreno LA; Castro-Collado C; Gil-Campos M; Salas-Salvadó J; Babio N
    JAMA Netw Open; 2024 May; 7(5):e2411852. PubMed ID: 38758555
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Cross-sectional relationship among different anthropometric parameters and cardio-metabolic risk factors in a cohort of patients with overweight or obesity.
    Lampignano L; Zupo R; Donghia R; Guerra V; Castellana F; Murro I; Di Noia C; Sardone R; Giannelli G; De Pergola G
    PLoS One; 2020; 15(11):e0241841. PubMed ID: 33152746
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Anthropometric measures are satisfactory substitutes for the DXA-derived visceral adipose tissue in the association with cardiometabolic risk-The Tromsø Study 2015-2016.
    Lundblad MW; Jacobsen BK; Johansson J; Grimsgaard S; Andersen LF; Hopstock LA
    Obes Sci Pract; 2021 Oct; 7(5):525-534. PubMed ID: 34631131
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Optimal cut-off values for anthropometric measures of obesity in screening for cardiometabolic disorders in adults.
    Macek P; Biskup M; Terek-Derszniak M; Krol H; Smok-Kalwat J; Gozdz S; Zak M
    Sci Rep; 2020 Jul; 10(1):11253. PubMed ID: 32647283
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Waist-to-height ratio associated cardiometabolic risk phenotype in children with overweight/obesity.
    Ukegbu TE; Wylie-Rosett J; Groisman-Perelstein AE; Diamantis PM; Rieder J; Ginsberg M; Lichtenstein AH; Matthan NR; Shankar V
    BMC Public Health; 2023 Aug; 23(1):1549. PubMed ID: 37582739
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Anthropometric Predictors of Health-Related Quality of Life in Obese Patients Attending a Tertiary Hospital in Nnewi, South-East Nigeria: A Cross-Sectional Study.
    Obi-Nwosu AL; Nwosu BO; Ezemenahi SI; Obi-Nwosu DI; Nwosu CS; Azudialu BC; Ojiakor CS; Umeh UM; Izuchukwu EC; Ofiaeli CI; Ulochukwu CM
    Niger J Clin Pract; 2024 Mar; 27(3):376-382. PubMed ID: 38528359
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Children's Lipid Accumulation Product Combining Visceral Adiposity Index is a Novel Indicator for Predicting Unhealthy Metabolic Phenotype Among Chinese Children and Adolescents.
    Dong Y; Bai L; Cai R; Zhou J; Ding W
    Diabetes Metab Syndr Obes; 2021; 14():4579-4587. PubMed ID: 34848982
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.