Association of muscle mass and fat mass with insulin resistance and the prevalence of metabolic syndrome in Korean adults: a cross-sectional study

ABSTRACT HAART (Highly active antiretroviral therapy) has transformed a fatal disease to a chronic, manageable disease. But long term toxicities are emerging after prolonged exposure to antiretroviral therapy(ART). Adverse metabolic effects like dyslipidemia, increased blood pressure, and insulin resistance(IR) have been attributed to HAART. Therefore, the use of HAART raises concerns regarding metabolic disorders and cardiovascular risk in HIV(Human immunodeficiency virus) infected patients. Objective: To determine the prevalence of insulin resistance in a cohort of HIV infected patients on HAART as compared to HAART naïve PLHIV(People living with HIV) Methods: A cross sectional study includes 53 subjects, out of which 26 were PLHIV on ART –Group I, 27 were ART naïve PLHIV-Group II was conducted. Insulin resistance was determined by homeostasis model assessment (HOMA-IR) mathematical model. Statistical analysis was performed to assess the association between demographic, clinical characteristics, laboratory results and insulin resistance. Results: 69.5 % PLHIV on HAART showed IR, as compared to 37 % of ART naïve PLHIV (p= 0.01). MetS(Metabolic Syndrome) was found in 53.8% among PLHIV on ART , compared to 11.1% among ART naïve PLHIV(p= 0.001) .In the multivariate analysis, presence of metabolic syndrome was found to be directly associated with insulin resistance.

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The Higher Plasma Malondialdehyde Concentrations Are Determined by Metabolic Syndrome-Related Glucolipotoxicity

Oxidative Medicine and Cellular Longevity ◽

10.1155/2014/505368 ◽

2014 ◽

Vol 2014 ◽

pp. 1-7 ◽

Cited By ~ 10

Author(s):

Fernando Moreto ◽

Erick P. de Oliveira ◽

Rodrigo M. Manda ◽

Roberto C. Burini

Keyword(s):

Insulin Resistance ◽

Metabolic Syndrome ◽

Regression Analysis ◽

Cross Sectional Study ◽

Sectional Study ◽

Free Living ◽

Cross Sectional ◽

Sugar Intake ◽

Dietary Sugar ◽

Plasma Malondialdehyde

This study aimed to elucidate the determinants of higher plasma malondialdehyde (MDA) in free-living adults. In a cross-sectional study we evaluated 148 free-living subjects (54 ± 11 years, 78% women) at high risk for or with metabolic syndrome (MetS). They were assessed by anthropometry and body composition, dietary intake, and clinical and laboratorial analysis. The analysis of plasma MDA was performed by HPLC, and concentration values were used to provide four groups according to percentile distribution. Subjects with higher plasma MDA showed higher prevalence of MetS and higher values of waist circumference (WC), glucose, triglycerides (TG),γ-glutamyltransferase (γ-GT), and higher energy intake. Multiadjusted logistic regression analysis identified as determinants of higher plasma MDA the altered values of WC andγ-GT followed by hypertriglyceridemia, hyperglycemia, insulin resistance, higher dietary sugar-intake, and presence of MetS. In conclusion, the glucolipotoxic state predisposed by the presence of MetS seems to be the major determinant of higher plasma MDA concentrations.

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The relationship between obesity and foot pain is related to fat mass and fat distribution but not muscle mass: A cross-sectional study

Obesity Research & Clinical Practice ◽

10.1016/j.orcp.2011.08.033 ◽

2011 ◽

Vol 5 ◽

pp. 67

Author(s):

S.K. Tanamas ◽

A.E. Wluka ◽

P. Berry ◽

H.B. Menz ◽

B.J. Strauss ◽

...

Keyword(s):

Muscle Mass ◽

Fat Mass ◽

Fat Distribution ◽

Cross Sectional Study ◽

Foot Pain ◽

Sectional Study ◽

Cross Sectional ◽

The Relationship

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Fat mass and skeletal muscle mass in hip-fracture women: A cross-sectional study

Maturitas ◽

10.1016/j.maturitas.2006.11.003 ◽

2007 ◽

Vol 56 (4) ◽

pp. 404-410 ◽

Cited By ~ 20

Author(s):

Marco Di Monaco ◽

Fulvia Vallero ◽

Roberto Di Monaco ◽

Rosa Tappero ◽

Alberto Cavanna

Keyword(s):

Skeletal Muscle ◽

Hip Fracture ◽

Muscle Mass ◽

Fat Mass ◽

Skeletal Muscle Mass ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional

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Association Between Weekend Catch-Up Sleep and Metabolic Syndrome with Sleep Restriction in Korean Adults: A Cross-Sectional Study Using KNHANES

Diabetes Metabolic Syndrome and Obesity Targets and Therapy ◽

10.2147/dmso.s247898 ◽

2020 ◽

Vol Volume 13 ◽

pp. 1465-1471

Author(s):

Soo Min Son ◽

Eun-Ju Park ◽

Young Hye Cho ◽

Sang Yeoup Lee ◽

Jung-In Choi ◽

...

Keyword(s):

Metabolic Syndrome ◽

Cross Sectional Study ◽

Sleep Restriction ◽

Sectional Study ◽

Cross Sectional ◽

Korean Adults ◽

Catch Up

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Fat Mass Index Better Identifies Metabolic Syndrome: Insights from Patients in Early Outpatient Cardiac Rehabilitation

Journal of Clinical Medicine ◽

10.3390/jcm8122147 ◽

2019 ◽

Vol 8 (12) ◽

pp. 2147

Author(s):

Amanda R. Bonikowske ◽

Maria Irene Barillas Lara ◽

Katlyn E. Koepp ◽

Jose R. Medina Inojosa ◽

Ray W. Squires ◽

...

Keyword(s):

Metabolic Syndrome ◽

Cardiac Rehabilitation ◽

Fat Mass ◽

Cross Sectional Study ◽

Dual Energy ◽

Health Record ◽

Sectional Study ◽

Cross Sectional ◽

Fat Mass Index ◽

X Ray

Body mass index (BMI) does not differentiate fat and lean mass or the distribution of adipose tissue. The purpose of this study was to examine the prevalence of metabolic syndrome (MetS) among patients entering outpatient cardiac rehabilitation (CR) across fat mass index (FMI) categories compared with BMI. This retrospective cross-sectional study evaluated dual-energy x-ray absorptiometry in 483 CR patients from 1 January 2014, through 31 December 2017. Clinical data were extracted from the electronic health record. Patients were grouped by FMI and BMI categories. Mean (SD) age of patients was 64.3 (14) years. The normal FMI category had 15 patients; excess fat, 74; and obese, 384. In contrast, 93, 174, and 216 were in the normal, overweight, and obese BMI categories, respectively. Prevalence of MetS was 0 (0%) in normal, 5 (1%) in excess fat, and 167 (54%) in obese FMI, with 97% in the obese category. MetS prevalence was 4 patients (0.8%) in normal, 39 (8%) in overweight, and 129 (27%) in obese BMI categories, with 75% of MetS in the obese category. FMI more accurately classified CR patients with metabolically abnormal fat (p < 0.001). FMI is a more sensitive index than BMI for metabolically abnormal fat of outpatient CR patients.

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