Literature DB >> 33669882

Cardiorespiratory Fitness Predicted by Fibrinogen and Leptin Concentrations in Children with Obesity and Risk for Diabetes: A Cross-Sectional Study and a ROC Curve Analysis.

Kyriaki Tsiroukidou1, Elpis Hatziagorou1, Maria G Grammatikopoulou1,2, Anastasios Vamvakis1, Kalliopi Kontouli1, Christos Tzimos3, John Tsanakas1, Bessie E Spiliotis4.   

Abstract

Obesity is defined as abnormal or excessive fat accumulation that presents a risk to health. The ability to exercise is affected by adiposity, and this mechanism involves low-grade chronic inflammation and homeostatic stress produced mainly in adipocytes, which can result in abnormal adipokine secretion. To date, the gold standard for cardiorespiratory fitness assessment is considered to be the maximum oxygen uptake (VO2max). The aim of the present study was to assess the prognostic value of hematological parameters of childhood obesity, as potential predictors of cardiorespiratory fitness (VO2max), using a sample of children and adolescents with obesity and risk for diabetes. A total of 84 clinically healthy children and adolescents were recruited, of which 21 were considered lean, 22 overweight and 41 obese, with a mean age of 12.0 ± 1.9, 11.4 ± 2.0, and 11.2 ± 2.1 years old, in each weight status category, respectively. Age and sex did not differ between groups. Hematologic testing was performed after 12 h of fasting including glucose, serum lipids, insulin, hc-CRP, adiponectin, leptin and fibrinogen levels. Cardiorespiratory capacity for exercise was assessed to determine VO2max, using a cycle ergometer. The VO2max was negatively correlated with progressive strength to the BMIz (-0.656, p ≤ 0.001), hs-CRP (r = -0.341, p ≤ 0.002), glucose (r = -0.404, p ≤ 0.001) and insulin levels (r = -0.348, p ≤ 0.001), the homeostasis model assessment of insulin resistance (HOMA-IR) (r = -0.345, p ≤ 0.002), as well as to the leptin (r = -0.639, p ≤ 0.001) and fibrinogen concentrations (r = -0.520, p ≤ 0.001). The multivariate analysis revealed that only leptin and fibrinogen concentrations could predict the VO2max adjusted for the BMIz of participants. The receiver operating characteristic (ROC) curve for the diagnostic accuracy of leptin, hs-CRP and fibrinogen concentrations for the prediction of VO2max revealed a good diagnostic ability for all parameters, with leptin being the most promising one (area under the curve (AUC): 99%). The results verify that in children with obesity, VO2max may be predicted from hematological parameters (leptin and fibrinogen), possibly bypassing more invasive methods.

Entities:  

Keywords:  CPET; VO2max; adiposity; cardiopulmonary test; childhood; exercise; high-sensitive CRP; insulin resistance; metabolic health; nutrition; obese; overweight

Mesh:

Substances:

Year:  2021        PMID: 33669882      PMCID: PMC7923274          DOI: 10.3390/nu13020674

Source DB:  PubMed          Journal:  Nutrients        ISSN: 2072-6643            Impact factor:   5.717


  79 in total

1.  Association of fibrinogen, C-reactive protein, albumin, or leukocyte count with coronary heart disease: meta-analyses of prospective studies.

Authors:  J Danesh; R Collins; P Appleby; R Peto
Journal:  JAMA       Date:  1998-05-13       Impact factor: 56.272

2.  Does Cardiorespiratory Fitness Attenuate the Adverse Effects of Severe/Morbid Obesity on Cardiometabolic Risk and Insulin Resistance in Children? A Pooled Analysis.

Authors:  Christine Delisle Nyström; Pontus Henriksson; Vicente Martínez-Vizcaíno; María Medrano; Cristina Cadenas-Sanchez; Natalia María Arias-Palencia; Marie Löf; Jonatan R Ruiz; Idoia Labayen; Mairena Sánchez-López; Francisco B Ortega
Journal:  Diabetes Care       Date:  2017-09-22       Impact factor: 19.112

3.  Dietary factors related to higher plasma fibrinogen levels of Japanese-americans in hawaii compared with Japanese in Japan.

Authors:  Katsuyuki Miura; Hideaki Nakagawa; Hirotsugu Ueshima; Akira Okayama; Shigeyuki Saitoh; J David Curb; Beatriz L Rodriguez; Kiyomi Sakata; Nagako Okuda; Katsushi Yoshita; Jeremiah Stamler
Journal:  Arterioscler Thromb Vasc Biol       Date:  2006-05-04       Impact factor: 8.311

4.  Overfatness, stunting and physical inactivity are determinants of plasminogen activator inhibitor-1activity, fibrinogen and thrombin-antithrombin complex in African adolescents.

Authors:  Cornelie Nienaber; Marlien Pieters; Salome H Kruger; Welma Stonehouse; Hester H Vorster
Journal:  Blood Coagul Fibrinolysis       Date:  2008-07       Impact factor: 1.276

5.  Ghrelin and leptin levels in obese adolescents. Relationship with body fat and insulin resistance.

Authors:  Charilaos Stylianou; Assimina Galli-Tsinopoulou; Dimitrios Farmakiotis; Israel Rousso; Michael Karamouzis; George Koliakos; Sanda Nousia-Arvanitakis
Journal:  Hormones (Athens)       Date:  2007 Oct-Dec       Impact factor: 2.885

6.  Associations of Fat Mass and Fat-Free Mass with Physical Fitness in 4-Year-Old Children: Results from the MINISTOP Trial.

Authors:  Pontus Henriksson; Cristina Cadenas-Sanchez; Marja H Leppänen; Christine Delisle Nyström; Francisco B Ortega; Jeremy Pomeroy; Jonatan R Ruiz; Marie Löf
Journal:  Nutrients       Date:  2016-07-30       Impact factor: 5.717

7.  Prevention of diabetes in overweight/obese children through a family based intervention program including supervised exercise (PREDIKID project): study protocol for a randomized controlled trial.

Authors:  Lide Arenaza; María Medrano; María Amasene; Beatriz Rodríguez-Vigil; Ignacio Díez; Manuel Graña; Ignacio Tobalina; Edurne Maiz; Edurne Arteche; Eider Larrarte; Inge Huybrechts; Catherine L Davis; Jonatan R Ruiz; Francisco B Ortega; Javier Margareto; Idoia Labayen
Journal:  Trials       Date:  2017-08-10       Impact factor: 2.279

Review 8.  Exercise, adipokines and pediatric obesity: a meta-analysis of randomized controlled trials.

Authors:  A García-Hermoso; R J M Ceballos-Ceballos; C E Poblete-Aro; A C Hackney; J Mota; R Ramírez-Vélez
Journal:  Int J Obes (Lond)       Date:  2016-12-26       Impact factor: 5.095

Review 9.  Children with Obesity and Asthma: Which Are the Best Options for Their Management?

Authors:  Lorenza Di Genova; Laura Penta; Anna Biscarini; Giuseppe Di Cara; Susanna Esposito
Journal:  Nutrients       Date:  2018-11-02       Impact factor: 5.717

Review 10.  Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: Assessment of Causal Relations.

Authors:  Geoffrey Livesey; Richard Taylor; Helen F Livesey; Anette E Buyken; David J A Jenkins; Livia S A Augustin; John L Sievenpiper; Alan W Barclay; Simin Liu; Thomas M S Wolever; Walter C Willett; Furio Brighenti; Jordi Salas-Salvadó; Inger Björck; Salwa W Rizkalla; Gabriele Riccardi; Carlo La Vecchia; Antonio Ceriello; Antonia Trichopoulou; Andrea Poli; Arne Astrup; Cyril W C Kendall; Marie-Ann Ha; Sara Baer-Sinnott; Jennie C Brand-Miller
Journal:  Nutrients       Date:  2019-06-25       Impact factor: 5.717

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  3 in total

1.  The Effect of Metabolic Profile on Leptin, Adiponectin, and hs-CRP in Children and Adolescents with Type 1 Diabetes.

Authors:  Maria Kaza; Charalampos Tsentidis; Elpis Vlachopapadopoulou; Irine-Ikbale Sakou; Spyridon Karanasios; George Mastorakos; Kyriaki Karavanaki
Journal:  Children (Basel)       Date:  2022-08-03

2.  Health risk assessment of PM2.5 on walking trips.

Authors:  Caihua Zhu; Zekun Fu; Linjian Liu; Xuan Shi; Yan Li
Journal:  Sci Rep       Date:  2021-09-28       Impact factor: 4.379

3.  Medical Nutrition Therapy in Diabetes Mellitus: New Insights to an Old Problem.

Authors:  Maria G Grammatikopoulou; Dimitrios G Goulis
Journal:  Nutrients       Date:  2022-02-07       Impact factor: 5.717

  3 in total

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