Objective: To determine whether fat free mass (FFM) is independently associated with the metabolically healthy obesity (MHO) phenotype, the metabolic syndrome (MS), and type 2 diabetes (T2D) in obese Asian adults.
Methods: Obese patients (body mass index [BMI] ≥25 kg/m) seeking weight management at an academic medical center from 2007 to 2016 were included. FFM was measured by bioelectrical impedance.
Results: Of the 552 patients (67.0% female, median age 40.5 years, median BMI 38.3 kg/m), MHO was present in 19%, MS in 55.4%, and T2D in 32.6%. In multivariate models, higher fat-free mass index (FFMI) was independently associated with the metabolically abnormal obesity (MAO) phenotype, (odds ratio [OR] 1.22, 95% confidence interval [CI] 1.09-1.37), and increased risk of MS (OR 1.12, 95% CI 1.03-1.22) in women but not in men. Older age was independently associated with the MAO phenotype (OR 1.06, 95% CI 1.04-1.09 in women; OR 1.06, 95% CI 1.02-1.09 in men), MS (OR 1.05, 95% CI 1.03-1.06 in women; OR 1.05, 95% CI 1.02-1.07 in men), and T2D (OR 1.07, 95% CI 1.05-1.09 in women; OR 1.06, 95% CI 1.04-1.09 in men). Waist-hip ratio was independently associated with the MAO phenotype in men (OR 1.08, 95% CI 1.01-1.15), while waist circumference was associated with T2D in women (OR 1.03, 95% CI 1.01-1.05).
Conclusion: Older age, central fat distribution, and-in contrast to previous findings-an increase in FFMI among women were independent predictors of adverse metabolic health in this cohort of middle-aged obese Asian adults. Further studies are required to elucidate underlying mechanisms and therapeutic implications of these findings.
Abbreviations: BIA = bioelectrical impedance analysis BMI = body mass index CI = confidence interval DXA = dual-energy X-ray absorptiometry FFM = fat-free mass FFMI = fat-free mass index FM = fat mass HbA1c = glycated hemoglobin A1c MAO = metabolically abnormal obesity MHO = metabolically healthy obesity MS = metabolic syndrome OR = odds ratio T2D = type 2 diabetes WC = waist circumference WHR = waist-hip-ratio.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.4158/EP171792.OR | DOI Listing |
Nutrients
January 2025
National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing 100050, China.
Purpose: The aims of this study were to explore the differences in total body water and hydration status among Chinese children aged 6-17 years.
Methods: A cross-sectional study was implemented among children aged 6-17 years in China. The total body water (TBW), intracellular water (ICW), and extracellular water (ECW) were determined by bioelectrical impedance analysis (BIA).
Children (Basel)
January 2025
Division of Neonatology, Department of Pediatrics, Emory University and Children's Healthcare of Atlanta, Atlanta, GA 30322, USA.
In recent years, significant advancements in respiratory and nutritional care have markedly improved the survival rates of preterm infants and enhanced long-term health outcomes. Despite these improvements, emerging research highlights the lasting impacts of early growth patterns on an individual's health trajectory. Adults born prematurely face a higher incidence of health issues related to their early birth.
View Article and Find Full Text PDFEur J Clin Invest
January 2025
Gastroenterology Unit, Department of Internal Medicine, University of Genoa, Genoa, Italy.
Background: The Crohn's disease exclusion diet (CDED) has been shown to induce remission in adult Crohn's disease (CD) patients. The aim of the study is to provide additional evidence-based validation.
Methods: We conducted an open-label, randomized trial on adult CD patients with mild-to-moderate symptoms to assess CDED efficacy in inducing symptomatic remission using Mediterranean diet as control.
Metabolites
January 2025
Department of Osteoporosis, Metabolic Bone Disease and Genetic Research Unit, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
: This study aimed to capture the early metabolic changes before osteoporosis occurs and identify metabolomic biomarkers at the osteopenia stage for the early prevention of osteoporosis. : Metabolomic data were generated from normal, osteopenia, and osteoporosis groups with 320 participants recruited from the Nicheng community in Shanghai. We conducted individual edge network analysis (iENA) combined with a random forest to detect metabolomic biomarkers for the early warning of osteoporosis.
View Article and Find Full Text PDFPurpose: To examine the physiological, power-duration, nutritional intake and training characteristics of the recent lightweight (- 75 kg) 50+, 60+ and 70 + yr world champion indoor rowers.
Methods: Laboratory assessments, undertaken over 2 visits, examined body composition, pulmonary function, blood lactate/ventilatory landmarks, efficiency, fat/carbohydrate oxidation, primary component time-constant to steady-state [𝜏pc]) and peak oxygen consumption (V̇O2peak). Training, performance and nutritional intake were also reported.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!