scholarly journals The Relationship of Fat Distribution and Insulin Resistance with Lumbar Spine Bone Mass in Women

PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0129764 ◽  
Author(s):  
Francisco J. A. de Paula ◽  
Iana M. de Araújo ◽  
Adriana L. Carvalho ◽  
Jorge Elias ◽  
Carlos E. G. Salmon ◽  
...  
2021 ◽  
Vol 11 (12) ◽  
pp. 5395
Author(s):  
María L. Sánchez-Ferrer ◽  
Julián J. Arense-Gonzalo ◽  
María T. Prieto-Sánchez ◽  
Inmaculada Gómez-Carrascosa ◽  
Ana I. Hernández-Peñalver ◽  
...  

This study evaluates whether women with PCOS have a different body composition than non-PCOS women (controls), estimated by anthropometric methods, and whether body composition and PCOS condition could be predictors of insulin resistance (IR) and lipid profile (LP) in an independent manner. A case-control study was conducted in which women (126) were diagnosed with PCOS by the Rotterdam criteria and controls (159) were women without PCOS attending the gynecological clinic for routine examinations. Women with PCOS had higher body mass index, percentage of fat mass, and testosterone than controls. A higher fat mass predicted higher levels of triglycerides, LDL-c, and lower levels of HDL-c independently of PCOS condition. HOMA-IR was related to fat mass and was more significant in patients with PCOS. A higher bone mass was associated with lower total cholesterol and LDL-c independent of PCOS condition. Lower HOMA-IR remained associated with PCOS regardless of bone mass. Lean mass percentages predicted a better metabolic profile (lower triglycerides and higher HDL-c), and was also modulated by PCOS condition. Our results highlight the importance of body composition as an anthropometrical characteristic of PCOS, and the relationship of fat mass with a worse metabolic profile. In addition, PCOS condition was associated with worse HOMA-IR independent of body composition.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1812-P
Author(s):  
MARIA D. HURTADO ◽  
J.D. ADAMS ◽  
MARCELLO C. LAURENTI ◽  
CHIARA DALLA MAN ◽  
CLAUDIO COBELLI ◽  
...  

2011 ◽  
Vol 31 (5) ◽  
pp. 1208-1214 ◽  
Author(s):  
Sander J. Robins ◽  
Asya Lyass ◽  
Justin P. Zachariah ◽  
Joseph M. Massaro ◽  
Ramachandran S. Vasan

2009 ◽  
Vol 66 (3) ◽  
pp. 346-349 ◽  
Author(s):  
Elvira Verduci ◽  
Silvia Scaglioni ◽  
Carlo Agostoni ◽  
Giovanni Radaelli ◽  
Marialuisa Biondi ◽  
...  

2020 ◽  
Vol 9 (2) ◽  
pp. 1041-1046
Author(s):  
Adek Ardiansyah ◽  
Lilik Herawati ◽  
Damayanti Tinduh

This study aimed to analyze the relationship of insulin-like growth factor 1 with bone mass in obese female. This study used a cross sectional study method using 30 obese women aged 19-23 years, body mass index (BMI) 25-35 kg / m2, normal blood pressure, normal resting heart rate (RHR), normal hemoglobin (Hb). and fasting blood glucose (FBG) <100 mg / dL. Measurement of IGF-1 levels used the Enzym Link Immunosorbent Assay (ELISA) method. Measurement of bone mass using TANITA (Body Composition Analyzer DC3607601 (2) -1604 FA, TANITA Corporation of America, Inc., USA). The data analysis technique used the Pearson product-moment test with Statistical Package for Social Science (SPSS). The results showed that mean levels of IGF-1 (1.17 ± 0.10) ng / mL and bone mass (2.49 ± 0.06) kg (r = 0.712, P ≤ 0.001). Our findings suggest that there was a positive correlation between IGF-1 levels and bone mass


2018 ◽  
Vol 15 (3) ◽  
pp. 14-20
Author(s):  
Yassine Chahirou ◽  
Abdelhalim Mesfioui ◽  
Ali Ouichou ◽  
Aboubaker Hessni

Current studies show that metabolic and behavioral disorders represent severe health problems. Several questions arise about the molecular relationship of metabolic and behavioral disorders. This review will discuss the relationship of lipid metabolism and fructose consumption accompanied by an increase in weight as well as associated disorders: hypertension, insulin-resistance, oxidative stress and depression. Adipose tissue is considered as an endocrine tissue with intense secretory activities (metabolic and inflammatory). These adipokines are responsible for an alteration of several physiological functions. In this review we will try to understand how lipogenesis that causes dyslipidemia can influence insulin resistance, hypertension, oxidative stress, depression and the relationship between these various disorders.


2014 ◽  
Vol 64 (10) ◽  
pp. 997-1002 ◽  
Author(s):  
Alvin Chandra ◽  
Ian J. Neeland ◽  
Jarett D. Berry ◽  
Colby R. Ayers ◽  
Anand Rohatgi ◽  
...  

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