Objectives: A piglet model was used to validate and cross validate the fan-beam (FB) dual energy X-ray absorptiometry (DXA) software vKH6 and to determine the predictive values of physiologic parameters (weight, length, age and gender) on body composition.
Methods: Nineteen piglets (Group A: 600 to 21100 g) were used to validate the FB-DXA measurements of body composition based on chemical analysis of the carcass. An additional 22 piglets (Group B: 640 g to 17660 g) had FB-DXA measurements, and these values were compared to the predicted values generated from regression equations computed from group A piglets. Body composition for bone mass, lean mass and fat mass was based on ash weight, nitrogen and fat measured from three aliquots of homogenate from each carcass. Data from all piglets (n = 41) were used to determine the variations in body composition. Data analysis used regression, t test and analysis of variance.
Results: Duplicate DXA (total weight TW, bone mineral content BMC, bone area BA, bone mineral density BMD, lean mass LM and fat mass FM) measurements were highly correlated (r = 0.98 to 1.00, p < 0.001 for all comparisons) and were not significantly different. No significant differences were found in the residuals from predicted versus measured DXA values between the larger and the smaller (<1.6 kg) piglets from Group A. For Group B piglets, the DXA measured TW of 5666 +/- 5692 g (mean +/- SD), LM (5063 +/- 5048 g), FM (465 +/- 510 g), BMC (138 +/- 139 g), BA (486 +/- 365 cm(2)) and BMD (0.235 +/- 0.071 g/cm(2)) were highly significantly correlated with (r = 0.94 to 1.00, p < 0.001 for all comparisons) and were not significantly different from the predicted values. Data from all piglets (n = 41) showed that weight is the dominant predictor of whole body and regional body composition. Length, age or gender contributed to <2% of the variability of body composition.
Conclusion: Body composition measurements using the FB DXA software vKH6 is highly reproducible. The software vKH6 is validated for use in a wide range of body weights and body composition, and cross-validated using a separate group of animals. Body weight is the dominant predictor of body composition in immature piglets.
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http://dx.doi.org/10.1080/07315724.2003.10719324 | DOI Listing |
Orv Hetil
January 2025
1 Semmelweis Egyetem, Általános Orvostudományi Kar, Belgyógyászati és Onkológiai Klinika Budapest, Korányi S. u. 2/A, 1083 Magyarország.
BMC Endocr Disord
January 2025
Department of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Background: Menopause is a significant phase in women's health, in which the incidence of obstructive sleep apnea (OSA) is significantly increased. Body fat distribution changes with age and hormone levels in postmenopausal women, but the extent to which changes in body fat distribution affect the occurrence of OSA is unclear.
Methods: This research performed a cross-sectional analysis utilizing data from the 2015-2016 National Health and Nutrition Examination Survey (NHANES).
BMC Surg
January 2025
Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
Background: Metabolic and bariatric surgery (MBS) is a suitable solution for the treatment of morbid obesity. Investigating an MBS method that has the best outcomes has always been the main concern of physicians. The current study aimed to compare nutritional, anthropometric, and psychological complications of individuals undergoing various MBS Techniques.
View Article and Find Full Text PDFSci Rep
January 2025
Division of Urology, Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
This study aimed to investigate the role of myosteatosis, sarcopenia, and perioperative serum biomarkers as independent predictors of major complications within 180 days following radical cystectomy (RC) for muscle-invasive bladder cancer (MIBC). We retrospectively analyzed of 127 MIBC patients who underwent RC between 2013 and 2023 at a single institution. Preoperative body composition was assessed using CT scans at the L3 vertebral level to measure psoas muscle density (PMD), skeletal muscle density (SMD), axial muscle density (AMD), and muscle indices.
View Article and Find Full Text PDFClin Nutr ESPEN
January 2025
Professor of Department of Physical Education, São Paulo State University (UNESP), School of Technology and Sciences, Presidente Prudente (SP), Brazil.
Objective: To analyze the relationship between body fat, motor skills, and physical fitness in children and adolescents.
Methods: 216 children and adolescents (143 males and 73 females, aged 5-15 years) from a social project composed this study. Body mass and height were measured to calculate the body mass index (BMI).
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