Even though BMI is the most commonly used method for assessing and monitoring obesity, it does not take into account the individual's body fat content assuming instead that body mass is closely associated with body fat, which is a tenuous assumption. The aim of this study was to make a direct comparison between measurements of body fat content using a convenient and rapid Fourier transform near-infrared (FT-NIR) spectroscopy and dual-energy X-ray absorptiometry (DXA). We recruited 52, premenopausal women (age range 19-45), all of whom had a BMI that classified them as either overweight or obese (range: 27-40 kg/m(2), mean: 31.1 ± 3.7 kg/m(2)) and indicated a statistically significant linear relationship between the fat content in kilograms measured by FT-NIR and DXA (r = 0.95, P < 0.001). Bland-Altman analysis showed that almost all the differences between two measurements fell within 2 s.d. We report here that the FT-NIR method provided comparable measurements of subcutaneous body fat content similar to those of total fat obtained using DXA. The FT-NIR method is a lower cost, easy to use and transport, and, based on comparison with DXA, an accurate method to measure body fat content. We propose that FT-NIR is an ideal method for safe repeat measurements in large trials or in screening and monitoring individuals during interventions in which changes in body fat will occur.

Download full-text PDF

Source
http://dx.doi.org/10.1038/oby.2011.39DOI Listing

Publication Analysis

Top Keywords

body fat
28
fat content
24
body
8
overweight obese
8
dxa ft-nir
8
fat
8
ft-nir method
8
content
6
ft-nir
6
dxa
5

Similar Publications

Weight cycling exacerbates glucose intolerance and hepatic triglyceride storage in mice with a history of chronic high fat diet exposure.

J Transl Med

January 2025

Research Unit NeuroBiology of Diabetes, Helmholtz Munich, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.

Background: Obese subjects undergoing weight loss often fear the Yoyo dieting effect, which involves regaining or even surpassing their initial weight. To date, our understanding of such long-term obesity and weight cycling effects is still limited and often based on only short-term murine weight gain and loss studies. This study aimed to investigate the long-term impacts of weight cycling on glycemic control and metabolic health, focusing on adipose tissue, liver, and hypothalamus.

View Article and Find Full Text PDF

Background: mHealth, i.e. mobile-health, strategies may be used as a complement to regular care to support healthy dietary habits in primary care patients.

View Article and Find Full Text PDF

The effects of the gut bacterial product, gassericin A, on obesity in mice.

Lipids Health Dis

January 2025

Department of Basic Sciences, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran.

Background: Obesity can arise from various physiological disorders. This research examined the impacts of the bacteriocin, gassericin A, which is generated by certain gut bacteria, using an in vivo model of obesity.

Methods: Fifty Swiss NIH mice were randomly assigned to five different groups.

View Article and Find Full Text PDF

Iron-Mediated Regulation in Adipose Tissue: A Comprehensive Review of Metabolism and Physiological Effects.

Curr Obes Rep

January 2025

Department of Endocrinology and Metabolism, Zhuhai People's Hospital (The Affiliated Hospital of Beijing Institute of Technology, Zhuhai Clinical Medical College of Jinan University), Zhuhai, China.

Purpose Of Review: Review the latest data regarding the intersection of adipose tissue (AT) and iron to meet the needs of AT metabolism and the progression of related diseases.

Recent Findings: Iron is involved in fundamental biological metabolic processes and is precisely fine-tuned within the body to maintain cellular, tissue and even systemic iron homeostasis. AT not only serves as an energy storage depot but also represents the largest endocrine organ in the human body, maintaining systemic metabolic homeostasis.

View Article and Find Full Text PDF

Predictive value of epicardial adipose tissue volume for early detection of left ventricular dysfunction in patients suspected of coronary artery disease.

Clin Radiol

November 2024

Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Rd., Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China. Electronic address:

Aim: To investigate the relationship between epicardial adipose tissue (EAT) and myocardial strain and the severity of coronary artery disease (CAD), and to evaluate the predictive value of EAT parameters in early left ventricular (LV) diastolic dysfunction.

Materials And Methods: One hundred seventy patients with suspected CAD who underwent both coronary computed tomography angiography and echocardiography were enrolled in 2020. LV global strains were calculated using commercial software.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!