OBJECTIVES: To examine the validity of body composition estimates obtained using foot-to-foot bio-electrical impedance analysis (BIA) in overweight and obese children by comparison to a reference four-compartment model (4-CM). SUBJECTS/METHODS: 38 males: age (mean +/- sd) 13.6 +/- 1.3 years, body mass index 30.3 +/- 6.0 kg.m(-2) and 14 females: age 14.7 +/- 2.2 years, body mass index 32.4 +/- 5.7 kg.m(-2) participated in the study. Estimates of fat-free mass (FFM), fat mass (FM) and percentage body fat (PBF) obtained using a Tanita model TBF-310 and a 4-CM (derived from body mass, body volume, total body water and total body bone mineral measurements) were compared using bias and 95% limits of agreement (Tanita minus 4-CM estimates). RESULTS: Body composition estimates obtained with the Tanita TBF-310 were not significantly different from 4-CM assessments: for all subjects combined the bias was -0.7kg for FM, 0.7kg for FFM and -1.3% for PBF. However, the 95% limits of agreement were substantial for individual children: males, up to +/-9.3kg for FFM and FM and +/-11.0% for PBF; females, up to +/-5.5kg for FFM and FM and +/-6.5% for PBF. CONCLUSIONS: The Tanita TBF-310 foot-to-foot BIA body composition analyser with the manufacturer's prediction equations is not recommended for application to individual children who are overweight and obese although it may be of use for obtaining group mean values.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2854815PMC

Publication Analysis

Top Keywords

body composition
16
composition estimates
12
overweight obese
12
body mass
12
body
11
foot-to-foot bio-electrical
8
bio-electrical impedance
8
impedance analysis
8
obese children
8
+/- years
8

Similar Publications

Pharmacological Aspects in the Management of Children and Adolescents with Prader-Willi Syndrome.

Paediatr Drugs

January 2025

Division of Endocrinology, Department of Pediatrics, University of Florida, PO Box 100296, Gainesville, FL, 32610, USA.

Prader-Willi syndrome is a rare neurodevelopmental disorder that impacts the musculoskeletal, endocrine, pulmonary, neurologic, ocular, and gastrointestinal systems. In addition, individuals with Prader-Willi syndrome have issues with cognitive development, characteristic behavioral problems, and perhaps most profoundly, appetite control. Currently, the only US Food and Drug Administration-approved therapy for Prader-Willi syndrome is growth hormone, which has been Food and Drug Administration approved for > 20 years for the treatment of growth failure in Prader-Willi syndrome.

View Article and Find Full Text PDF

Background: In the last two decades, robotic-assisted gastrectomy has become a widely adopted surgical option for gastric cancer (GC) treatment. Despite its popularity, postoperative complications can significantly deteriorate patient quality of life and prognosis. Therefore, identifying risk factors for these complications is crucial for early detection and intervention.

View Article and Find Full Text PDF

Chrysanthemum extract mitigates high-fat diet-induced inflammation, intestinal barrier damage and gut microbiota disorder.

Food Funct

January 2025

Institute of Food Nutrition and Quality Safety, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, 310018, China.

An effective intervention for obesity without side effects is needed. Chrysanthemum may be the preferred choice due to its influence in the improvement of glycolipid metabolism. This study assessed the efficacy of chrysanthemum and its flavonoids in mitigating high-fat diet (HFD) induced obesity, focusing on the integrity of the intestinal barrier, inflammation, and gut microbiota.

View Article and Find Full Text PDF

Machine learning and deep learning to improve prevention of anastomotic leak after rectal cancer surgery.

World J Gastrointest Surg

January 2025

Department of Minimally Invasive Digestive Surgery, Antoine-Béclère Hospital, Assistance Publique-Hôpitaux de ParisClamart 92140, Haute-Seine, France.

Anastomotic leakage (AL) is a significant complication following rectal cancer surgery, adversely affecting both quality of life and oncological outcomes. Recent advancements in artificial intelligence (AI), particularly machine learning and deep learning, offer promising avenues for predicting and preventing AL. These technologies can analyze extensive clinical datasets to identify preoperative and perioperative risk factors such as malnutrition, body composition, and radiological features.

View Article and Find Full Text PDF

Postnatal growth retardation (PGR) frequently occurs during early postnatal development of piglets and induces high mortality. To date, the mechanism of PGR remains poorly understood. Adipose tissue-derived microbes have been documented to be associated with several disorders of metabolism and body growth.

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!