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Mai J, Wu Q, Wu H, Zeng C, Li Y, Shang J, Wu B, Cai Q, Du J, Gong J. Assessment of whole-body and regional body fat using abdominal quantitative computed tomography in Chinese women and men. Lipids Health Dis 2024; 23:47. [PMID: 38355592 PMCID: PMC10865662 DOI: 10.1186/s12944-024-02034-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 01/29/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Being overweight or obese has become a serious public health concern, and accurate assessment of body composition is particularly important. More precise indicators of body fat composition include visceral adipose tissue (VAT) mass and total body fat percentage (TBF%). Study objectives included examining the relationships between abdominal fat mass, measured by quantitative computed tomography (QCT), and the whole-body and regional fat masses, measured by dual energy X-ray absorptiometry (DXA), as well as to derive equations for the prediction of TBF% using data obtained from multiple QCT slices. METHODS Whole-body and regional fat percentage were quantified using DXA in Chinese males (n = 68) and females (n = 71) between the ages of 24 and 88. All the participants also underwent abdominal QCT measurement, and their VAT mass and visceral fat volume (VFV) were assessed using QCT and DXA, respectively. RESULTS DXA-derived TBF% closely correlated with QCT abdominal fat percentage (r = 0.89-0.93 in men and 0.76-0.88 in women). Stepwise regression showed that single-slice QCT data were the best predictors of DXA-derived TBF%, DXA android fat percentage and DXA gynoid fat percentage. Cross-validation analysis showed that TBF% and android fat percentage could be accurately predicted using QCT data in both sexes. There were close correlations between QCT-derived and DXA-derived VFV (r = 0.97 in men and 0.93 in women). CONCLUSION Clinicians can assess the TBF% and android and gynoid fat percentages of Chinese women and men by analysing existing abdominal CT-derived data using the QCT technique.
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Affiliation(s)
- Jinci Mai
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Qiulian Wu
- School of Nursing, Jinan University, Guangzhou, China
| | - Huanhua Wu
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Chunyuan Zeng
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Yingxin Li
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Jingjie Shang
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Biao Wu
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Qijun Cai
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Junbi Du
- Department of Clinical Medicine, International College, Jinan University, Guangzhou, China
| | - Jian Gong
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China.
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Huang X, Ye Z, Qin X. Effects of 4 weeks of whole-body vibration training on energy expenditure during deep squats of male well-trained students. Front Physiol 2023; 14:1232045. [PMID: 37885799 PMCID: PMC10598777 DOI: 10.3389/fphys.2023.1232045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 09/26/2023] [Indexed: 10/28/2023] Open
Abstract
From the perspective of energy expenditure, this study investigated the effects of whole-body vibration training on the energy metabolism of deep squats with different weights. Twenty-two healthy male college students with sports experiences were selected and randomly assigned to perform resistance exercise vibration (REV) or resistance exercise (RE) with varying loads two times per week for 4 weeks. Oxygen uptake and heart rate were measured before, during, and after exercises using a gas analyzer, and energy expenditure was calculated. The results showed the following: 1) the oxygen uptake and energy expenditure of the REV group were significantly higher than those of the RE group during and 30 min after exercise (p < 0.01), respectively, and the excess post-exercise oxygen consumption (EPOC) was also significantly higher than that of the RE group (p < 0.01). 2) Changes in the oxygen uptake and energy expenditure were stable with increasing exercise in both vibration and non-vibration conditions. There was no difference in energy expenditure per unit of body mass versus additional energy per kilogram of body weight (p > 0.05). 3) No significant differences in changing exercise intensity were observed in the REV group compared to those in the RE group during the adjacent incremental load phases of △ (40%-0%) and △ (80%-40%) of load during and 30 min after exercise (p > 0.05). Our results suggest that 1) vibration training can increase energy expenditure during low-intensity training and excess post-exercise oxygen consumption, and improve the exercise intensity. 2) The effects on energy expenditure were the same for both weight-bearing and non-weight-bearing deep squats, up to 40% of body mass.
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Affiliation(s)
- Xiaohan Huang
- Education and Training Integration Center, Nanjing Sport Institute, Nanjing, China
| | - Zhengyang Ye
- School of Sports Medicine and Health, Chengdu Sport University, Chengdu, China
- Department of Physical Education, Gdańsk University of Physical Education and Sport, Gdańsk, Poland
| | - Xuelin Qin
- Education and Training Integration Center, Nanjing Sport Institute, Nanjing, China
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Taiar R. Editorial to the Special Issue “Human Bodywork: Applications in Health, Disease, and Rehabilitation”. BIOLOGY 2023; 12:biology12030451. [PMID: 36979143 PMCID: PMC10045657 DOI: 10.3390/biology12030451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 03/07/2023] [Indexed: 03/17/2023]
Abstract
In this research topic, the question concerning how the human body functions through the musculoskeletal system was addressed [...]
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Affiliation(s)
- Redha Taiar
- MATériaux et Ingénierie Mécanique (MATIM), Université de Reims Champagne Ardenne, F-51100 Reims, France
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Rossini-Venturini AC, Veras L, Abdalla PP, Santos APD, Tasinafo-Junior MF, Silva LSLD, Alves TC, Ferriolli E, Romo-Perez V, Garcia-Soidan JL, Mota J, Machado DRL. Multicompartment body composition analysis in older adults: a cross-sectional study. BMC Geriatr 2023; 23:87. [PMID: 36759773 PMCID: PMC9912531 DOI: 10.1186/s12877-023-03752-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 11/23/2022] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND During aging, changes occur in the proportions of muscle, fat, and bone. Body composition (BC) alterations have a great impact on health, quality of life, and functional capacity. Several equations to predict BC using anthropometric measurements have been developed from a bi-compartmental (2-C) approach that determines only fat mass (FM) and fat-free mass (FFM). However, these models have several limitations, when considering constant density, progressive bone demineralization, and changes in the hydration of the FFM, as typical changes during senescence. Thus, the main purpose of this study was to propose and validate a new multi-compartmental anthropometric model to predict fat, bone, and musculature components in older adults of both sexes. METHODS This cross-sectional study included 100 older adults of both sexes. To determine the dependent variables (fat mass [FM], bone mineral content [BMC], and appendicular lean soft tissue [ALST]) whole total and regional dual-energy X-ray absorptiometry (DXA) body scans were performed. Twenty-nine anthropometric measures and sex were appointed as independent variables. Models were developed through multivariate linear regression. Finally, the predicted residual error sum of squares (PRESS) statistic was used to measure the effectiveness of the predicted value for each dependent variable. RESULTS An equation was developed to simultaneously predict FM, BMC, and ALST from only four variables: weight, half-arm span (HAS), triceps skinfold (TriSK), and sex. This model showed high coefficients of determination and low estimation errors (FM: R2adj: 0.83 and SEE: 3.16; BMC: R2adj: 0.61 and SEE: 0.30; ALST: R2adj: 0.85 and SEE: 1.65). CONCLUSION The equations provide a reliable, practical, and low-cost instrument to monitor changes in body components during the aging process. The internal cross-validation method PRESS presented sufficient reliability in the model as an inexpensive alternative for clinical field use.
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Affiliation(s)
- Ana Claudia Rossini-Venturini
- College of Nursing at Ribeirão Preto, University of São Paulo, Avenue of Bandeirantes nº 3900, University Campus - Monte Alegre, Ribeirão Preto-SP, Brazil. .,Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil.
| | - Lucas Veras
- grid.5808.50000 0001 1503 7226The Research Centre in Physical Activity, Health, and Leisure (CIAFEL), University of Porto, Porto, Portugal ,grid.5808.50000 0001 1503 7226Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal
| | - Pedro Pugliesi Abdalla
- grid.11899.380000 0004 1937 0722College of Nursing at Ribeirão Preto, University of São Paulo, Avenue of Bandeirantes nº 3900, University Campus - Monte Alegre, Ribeirão Preto-SP, Brazil ,Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil
| | - André Pereira dos Santos
- grid.11899.380000 0004 1937 0722College of Nursing at Ribeirão Preto, University of São Paulo, Avenue of Bandeirantes nº 3900, University Campus - Monte Alegre, Ribeirão Preto-SP, Brazil ,Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil ,grid.11899.380000 0004 1937 0722School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | - Márcio Fernando Tasinafo-Junior
- Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil ,grid.11899.380000 0004 1937 0722School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | - Leonardo Santos Lopes da Silva
- Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil ,grid.11899.380000 0004 1937 0722School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | - Thiago Cândido Alves
- Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil
| | - Eduardo Ferriolli
- grid.11899.380000 0004 1937 0722Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil ,grid.11899.380000 0004 1937 0722Laboratório de Investigação Médica em Envelhecimento (LIM-66), Serviço de Geriatria, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, Brazil
| | - Vicente Romo-Perez
- grid.6312.60000 0001 2097 6738Faculty of Education and Sport Sciences, University of Vigo, Vigo, Spain
| | - Jose Luis Garcia-Soidan
- grid.6312.60000 0001 2097 6738Faculty of Education and Sport Sciences, University of Vigo, Vigo, Spain
| | - Jorge Mota
- grid.5808.50000 0001 1503 7226The Research Centre in Physical Activity, Health, and Leisure (CIAFEL), University of Porto, Porto, Portugal ,grid.5808.50000 0001 1503 7226Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal
| | - Dalmo Roberto Lopes Machado
- grid.11899.380000 0004 1937 0722College of Nursing at Ribeirão Preto, University of São Paulo, Avenue of Bandeirantes nº 3900, University Campus - Monte Alegre, Ribeirão Preto-SP, Brazil ,Study and Research Group in Anthropometry, Training, and Sport (GEPEATE), São Paulo, Brazil ,grid.5808.50000 0001 1503 7226The Research Centre in Physical Activity, Health, and Leisure (CIAFEL), University of Porto, Porto, Portugal ,grid.11899.380000 0004 1937 0722School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil ,grid.7157.40000 0000 9693 350XESEC - Universidade do Algarve. , Campus da Penha, Faro, Portugal
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Guan L, Li T, Wang X, Yu K, Xiao R, Xi Y. Predictive Roles of Basal Metabolic Rate and Body Water Distribution in Sarcopenia and Sarcopenic Obesity: The link to Carbohydrates. Nutrients 2022; 14:nu14193911. [PMID: 36235562 PMCID: PMC9571591 DOI: 10.3390/nu14193911] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 09/13/2022] [Accepted: 09/18/2022] [Indexed: 11/23/2022] Open
Abstract
Sarcopenic obesity is a new category of obesity and is a specific condition of sarcopenia. This study aimed to find the relationship of the basal metabolic rate (BMR) and body water distribution with muscle health and their prospective roles in screening for sarcopenic obesity and sarcopenia. The role of nutrients such as carbohydrates in the relationship was further detected. A total of 402 elderly subjects were recruited. Body composition was estimated by bioelectrical impedance analysis. Sarcopenia was defined by the Asian Working Group for Sarcopenia 2019. The cutoff values were determined by the receiver operating characteristic curve. Mediation analyses were performed using SPSS PROCESS. Higher BMR and BMR/body surface area (BSA) were protective factors against sarcopenic obesity (OR = 0.047, p = 0.004; OR = 0.035, p = 0.002) and sarcopenia (OR = 0.085, p = 0.001; OR = 0.100, p = 0.003) in elderly people. Low extracellular water (ECW)/intracellular water (ICW) and ECW/total body water (TBW) were negatively correlated with the skeletal muscle index (SMI). The intake of dietary carbohydrates in people with sarcopenic obesity was the lowest, but in subjects with obesity, it was the highest (p = 0.023). The results of the moderated mediation model showed that BMR fully mediated the positive relationship between carbohydrates and SMI, which was more obvious in the population with an abnormal body water distribution. BMR or BMR/BSA had the potential role of predicting a higher risk of sarcopenic obesity and sarcopenia. Higher BMR and lower ECW/ICW and ECW/TBW may benefit muscle health. The overconsumption of carbohydrates (especially > AMDR) might be a risk factor for obesity. Moderate dietary carbohydrate intake might promote SMI by regulating BMR and body water distribution in the elderly.
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Affiliation(s)
- Lizheng Guan
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Tiantian Li
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xuan Wang
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Kang Yu
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Beijing 100730, China
| | - Rong Xiao
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Yuandi Xi
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China
- Correspondence:
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Bonilla DA, Duque-Zuluaga LT, Muñoz-Urrego LP, Moreno Y, Vélez-Gutiérrez JM, Franco-Hoyos K, Agudelo-Martínez A, Humeres G, Kreider RB, Petro JL. Development and Validation of Waist Girth-Based Equations to Evaluate Body Composition in Colombian Adults: Rationale and STROBE-Nut-Based Protocol of the F20 Project. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10690. [PMID: 36078407 PMCID: PMC9518435 DOI: 10.3390/ijerph191710690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 08/19/2022] [Accepted: 08/25/2022] [Indexed: 06/15/2023]
Abstract
Waist girth (WG) represents a quick, simple, and inexpensive tool that correlates with excess of fat mass in humans; however, this measurement does not provide information on body composition. The evaluation of body composition is one of the main components in the assessment of nutritional status. Indeed, the use of anthropometry-based equations to estimate body fat and fat-free mass is a frequent strategy. Considering the lack of validation in the Colombian population, the aim of this research study (the F20 Project) is to externally validate WG-based equations (e.g., relative fat mass), and also to develop and validate new models that include WG to estimate body composition in Colombian adults compared to DXA. This cross-sectional study will be carried out following the guidelines for Strengthening the Reporting of Observational Studies in Epidemiology-Nutritional Epidemiology (STROBE-nut). Using stratified probabilistic sampling, the study population will be adults with different levels of physical activity residing in Medellín and its metropolitan area. The results of this study will not only validate the estimation performance of the current WG-based equations, but they will also develop new equations to estimate body composition in the Colombian population. This will improve professional practice in health, exercise, and sports sciences (ClinicalTrials.gov ID #NCT05450588).
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Affiliation(s)
- Diego A. Bonilla
- Research Division, Dynamical Business & Science Society—DBSS International SAS, Bogota 110311, Colombia
- Grupo de Investigación NUTRAL, Facultad Ciencias de la Nutrición y los Alimentos, Universidad CES, Medellin 050021, Colombia
- Research Group in Physical Activity, Sports and Health Sciences (GICAFS), Universidad de Córdoba, Monteria 230002, Colombia
- Sport Genomics Research Group, Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
| | - Leidy T. Duque-Zuluaga
- Research Division, Dynamical Business & Science Society—DBSS International SAS, Bogota 110311, Colombia
- Grupo de Investigación NUTRAL, Facultad Ciencias de la Nutrición y los Alimentos, Universidad CES, Medellin 050021, Colombia
| | - Laura P. Muñoz-Urrego
- Research Division, Dynamical Business & Science Society—DBSS International SAS, Bogota 110311, Colombia
- Grupo de Investigación NUTRAL, Facultad Ciencias de la Nutrición y los Alimentos, Universidad CES, Medellin 050021, Colombia
| | - Yurany Moreno
- Research Division, Dynamical Business & Science Society—DBSS International SAS, Bogota 110311, Colombia
| | - Jorge M. Vélez-Gutiérrez
- Research Division, Dynamical Business & Science Society—DBSS International SAS, Bogota 110311, Colombia
- ARTHROS Centro de Fisioterapia y Ejercicio, Medellin 050012, Colombia
| | - Katherine Franco-Hoyos
- Grupo de Investigación NUTRAL, Facultad Ciencias de la Nutrición y los Alimentos, Universidad CES, Medellin 050021, Colombia
| | - Alejandra Agudelo-Martínez
- Grupo de Investigación NUTRAL, Facultad Ciencias de la Nutrición y los Alimentos, Universidad CES, Medellin 050021, Colombia
| | - Gustavo Humeres
- Research Division, Dynamical Business & Science Society—DBSS International SAS, Bogota 110311, Colombia
- Instituto de Ciencias de Rehabilitación y el Movimiento (ICRM), Universidad Nacional de San Martín, Buenos Aires 1650, Argentina
| | - Richard B. Kreider
- Exercise & Sport Nutrition Laboratory, Human Clinical Research Facility, Texas A&M University, College Station, TX 77843, USA
| | - Jorge L. Petro
- Research Division, Dynamical Business & Science Society—DBSS International SAS, Bogota 110311, Colombia
- Research Group in Physical Activity, Sports and Health Sciences (GICAFS), Universidad de Córdoba, Monteria 230002, Colombia
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