Association Between Body Composition with Pulmonary Function Tests

2020 ◽  
Author(s):  
Hamidreza Pouragha ◽  
Hosein Kazemi ◽  
Gholamreza Pouryaghoub ◽  
Ramin Mehrdad
Keyword(s):  
Body Composition ◽  
Pulmonary Function ◽  
Visceral Fat ◽  
Pulmonary Function Tests ◽  
Bioelectrical Impedance ◽  
The Body ◽  
Fat Free Mass ◽  
The Other ◽  
Inverse Association ◽  
Cross Sectional

Abstract Background: Why is bodyweight not a predictor of lung function, however, height, sex, race, and age are predictors of lung capacity and function. In this study, we want to investigate the association between body composition and pulmonary function. And as much as possible, answer the question of why bodyweight is not predictive of lung function.Method: This cross-sectional study was performed among 2967 employees of Tehran University of Medical Sciences (TUMS) who participated in the TUMS Employees Cohort (TEC) study. The body composition of the participants was measured using the Bioelectrical Impedance Analysis (BIA) method. Anthropometric variables were also measured as a confounder. The pulmonary function of participants was assessed by a forced spirometry test.Results: The correlation of BIA values including fat-free mass and total body water with a pulmonary function such as FEV1, FVC, and FEF25-75 is higher than most anthropometric values such as weight, wrist circumference, and the waist to hip ratio. Also, in regression analysis, age and sex had an association with pulmonary function, but the weight did not show a significant relationship. On the other hand, fat-free mass and visceral fat were significantly associated with pulmonary function. One is direct and the other is inverse.Conclusion: The hypothesis that the results of this study created in the minds of the authors were that; The direct association of fat-free mass with pulmonary function may be ineffective by the inverse association of visceral fat with pulmonary function, leading to a lack of association between weight and pulmonary function.

Association between body composition and pulmonary function tests among health care workers in Iran

2021 ◽  
Vol 17 ◽  
Author(s):  
Hamidreza Pouragha ◽  
Hosein Kazemi ◽  
Gholamreza Pouryaghoub ◽  
Ramin Mehrdad
Keyword(s):  
Body Composition ◽  
Lung Function ◽  
Pulmonary Function ◽  
Visceral Fat ◽  
Pulmonary Function Tests ◽  
The Body ◽  
Fat Free Mass ◽  
The Other ◽  
Cross Sectional ◽  
Function Tests

Background: Why is bodyweight not a predictor of lung function, while height, sex, race, and age are predictors of lung capacity and function? In this study, we want to investigate the association between body composition and pulmonary function. And, as much as possible, answer the question of why bodyweight is not predictive of lung function. Methods: This cross-sectional study was performed among 2967 employees of Tehran University of Medical Sciences (TUMS) who participated in the TUMS Employees Cohort (TEC) study. The body composition of the participants was measured using the Bioelectrical Impedance Analysis (BIA) method. Anthropometric variables were also measured as a confounder. The pulmonary function of participants was assessed by a forced spirometry test. Results: The correlation of BIA values including fat-free mass and total body water with a pulmonary function such as FEV1, FVC, and FEF25-75 is higher than most anthropometric values such as weight, wrist circumference, and the waist to hip ratio. Also, in regression analysis, age and sex had an association with pulmonary function, but the weight did not show a significant relationship. On the other hand, fat-free mass and visceral fat were significantly associated with pulmonary function. One is direct and the other is inverse. Conclusion: We observed a negative association between visceral fat and pulmonary function tests and a direct association between Fat-free mass pulmonary function tests (FEV1 and FVC) adjusted for age, sex, and anthropometric indices.

scholarly journals Body composition assessment among adults in Thika, Kiambu county, Kenya

2019 ◽  
Vol 7 (7) ◽  
pp. 2568
Author(s):  
Mututho L. N. ◽  
Kiboi W. K. ◽  
Waihenya R. N.
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Visceral Fat ◽  
Bioelectrical Impedance ◽  
The Body ◽  
Hydration Status ◽  
P Value ◽  
Fat Percentage ◽  
Body Composition Assessment ◽  
Cross Sectional

Background: Research has shown that body composition is directly related to health. Altered body composition, can greatly increase the risks of conditions such as cardiovascular disease and diabetes. Bioelectrical Impedance Analysis fosters early detection of an improper balance in the body composition, which allows for earlier intervention and prevention.Methods: This was a cross sectional analysis of body composition for adults who volunteered to be screened during a Nutrition week in Kiambu County, Kenya. A total of 301 adults were included in the assessment. Body Mass Index (BMI) and Body composition (body fat %, bone mass, muscle mass, visceral fat and water %) were measured using bioelectrical impedance analysis.Results: The age of the participants ranged from 18-99 years (mean 42.19±16.57 years). Most of the participants were males (53.5%). More than half (53.2%) of the participants had a poor BMI, 37.2% had high total body fat percentage, 12.6% had excess levels of visceral fat and 26.6% had poor water hydration status. Age (OR=0.095; p value <0.001; CI 0.033-0272) and visceral fat (r=0.74; p value <0.001) were significantly associated with the BMI. Females had a significantly higher BMI (P <0.001). Visceral fat was also positively correlated with age: r=0.74; P value <0.001.Conclusions: Sex, age and BMI were important determinants of body composition. Increased physical activity, appropriate dietary practices are crucial in maintaining a healthy BMI and body composition. For timely intervention regular nutrition screening should be promoted among different populations.

scholarly journals Evaluation of Body Composition in Hemodialysis Thai Patients: Comparison between Two Models of Bioelectrical Impedance Analyzer and Dual-Energy X-Ray Absorptiometry

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Kulapong Jayanama ◽  
Supanee Putadechakun ◽  
Praopilad Srisuwarn ◽  
Sakda Arj-Ong Vallibhakara ◽  
Prapimporn Chattranukulchai Shantavasinkul ◽  
...  
Keyword(s):  
Body Composition ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Hemodialysis Patients ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Maintenance Hemodialysis ◽  
Cross Sectional ◽  
X Ray ◽  
Inbody 720

Background. Body composition measurement is very important for early nutritional care in hemodialysis patients. Dual-energy X-ray absorptiometry (DXA) is a gold standard test, but clinically limited. Bioelectrical impedance analysis (BIA) with multifrequency technique is a practical and reliable tool. Objective. This cross-sectional study was aimed to compare the agreement of BIA with DXA in measurement of body composition in hemodialysis patients and to evaluate their associated factors. Methods. Body composition was measured by 2 BIA methods (InBody S10 and InBody 720) and DXA after a hemodialysis session. A total of 69 measurements were included. Pearson’s correlation and Bland and Altman analysis were used to determine the correlation of body composition between methods and to compare the methods agreement, respectively. Results. The correlation coefficients of body compositions were strong between DXA and InBody S10 (fat mass index (FMI): r=0.95, fat-free mass index (FFMI): r=0.78) and also between DXA and InBody 720 (FMI: r=0.96, FFMI: r=0.81). Comparing to DXA, the means of each body composition measured by InBody S10 method were not significantly different in each gender, but differences were found in FM, %FM, and FMI measured by InBody 720. Conclusions. In maintenance hemodialysis patients, the measurement of body composition with DXA and both BIA methods had highly significant correlations; practically, BIA method could be used as an instrument to follow FM and FFM and to measure the edematous stage. Further studies with large populations are warranted.

scholarly journals Obesity and Body Composition in Preschool Children with Different Levels of Actigraphy-Derived Physical Activity—A Cross-Sectional Study

2020 ◽  
Vol 9 (4) ◽  
pp. 1210
Author(s):  
Justyna Wyszyńska ◽  
Piotr Matłosz ◽  
Agnieszka Szybisty ◽  
Paweł Lenik ◽  
Katarzyna Dereń ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Preschool Children ◽  
Lower Risk ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Steps Per Day

Detailed associations between physical activity (PA) and body composition in preschoolers remain unclear. The aim of this study was to assess body composition among preschool children differentiated according to their levels of PA and to assess whether meeting the current PA recommendations is associated with a lower risk of obesity, determined by body mass index (BMI) and body fat percentage (BFP). Free-living PA was measured using accelerometers for 7 days in children aged 5 to 6 years. Bioelectrical impedance analysis was used to estimate body composition. Significant differences in content of BFP, fat-free mass (FFM), and total body water (TBW) were found between boys meeting and not meeting moderate-to-vigorous PA (MVPA) recommendations. Meeting the MVPA recommendation was associated with a twofold lower risk of obesity determined by BFP in boys but not in girls. In contrast, the total number of recommended steps per day was not related to adiposity in boys or girls. No statistically significant differences were observed in body composition indices and quintiles of MVPA. Boys in the 3rd–5th quintiles of steps per day presented significantly lower BFP and higher muscle mass and TBW than their peers in quintile 1. However, different associations were observed between body composition indices and quintiles of PA.

Composição Corporal de Adultos Com Síndrome de Down e Excesso de Peso Atendidos em Hospital Universitário

2018 ◽  
Vol 22 (1) ◽  
pp. 47
Author(s):  
Leiliane Cruz Reis ◽  
Livia Maria Machado Nunes ◽  
Maria Edilma Da Silva Bezerra ◽  
Rosilene Reis Della Noce
Keyword(s):  
Body Composition ◽  
Down Syndrome ◽  
Overweight And Obesity ◽  
The Body ◽  
Fat Free Mass ◽  
University Hospital ◽  
Normal Range ◽  
Cross Sectional ◽  
The Mean ◽  
The City

Pessoas com Síndrome de Down podem, frequentemente, apresentar doença cardíaca congênita, hipotireoidismo, distúrbios gastrointestinais e tendência ao sobrepeso e obesidade, comprometendo gravemente a saúde. O objetivo deste trabalho foi descrever a composição corporal de adultos com Síndrome de Down - SD e excesso de peso, atendidos em um Hospital Universitário. Trata-se de um estudo transversal e descritivo realizado na cidade de Belém do Pará, no ano de 2017, onde os participantes com SD, foram avaliados para determinação da composição corporal com a utilização do aparelho de bioimpedância elétrica InBody230. Foram avaliados 13 indivíduos de ambos os sexos com idades variando entre 20 e 40 anos. A média de peso dos indivíduos do sexo masculino e feminino foi de 71,8 kg e 69,2 kg respectivamente, a média de Índice de Massa Corporal - IMC foi de 31,27 kg/m² para os homens e 34,08 kg/m² para as mulheres, classificada em obesidade. A maioria dos indivíduos apresenta Massa Muscular Esquelética - MME e Massa Livre de Gordura - MLG dentro da faixa de normalidade, porém os valores de Massa de Gordura (MG), assim como a Relação Cintura Quadril - RCQ de todos os indivíduos estão elevados. O acompanhamento individualizado da composição corporal, por meio da bioimpedância elétrica, mostrou ser um instrumento eficaz para avaliação do estado nutricional dessa população.Palavras-chave: Síndrome de Down. Composição Corporal. Bioimpedância Elétrica.AbstractPeople with Down Syndrome can often have congenital heart disease, hypothyroidism, gastrointestinal disorders, and tendency to overweight and obesity severely compromising health. The objective of this study was to describe the body composition in adults with Down Syndrome and overweight treated in a University Hospital. This is a cross-sectional and descriptive study carried out in the city of Belém do Pará in 2017, where the participants with DS, were evaluated to determine the body composition with the use of InBody 230 electric bioimpedance device. Eight individuals of both sexes with ages varying between 20 and 40 years were evaluated. The mean weight of the male and female subjects was 71.8 kg and 69.2 kg respectively, the mean Body Mass Index (BMI) was 31.27 kg / m² for men and 34.08 kg / m² for women, classified as obesity. The majority of individuals had a Skeletal Muscle Mass (MME) and Fat Free Mass (MLG) within the normal range, but the values of Mass of Fat (MG), as well as the Hip Waist Ratio (WHR) of all individuals are high. The individualized monitoring of body composition through electric bioimpedance proved to be an effective tool for assessing the nutritional status of this population.Keywords: Down Syndrome. Body composition. Electric impedance.

scholarly journals The Relationship between Selected Body Composition Components and Cardiopulmonary Resuscitation Parameters in Nurses: An Observational Simulation Study

2021 ◽  
Vol 11 (1) ◽  
pp. 49
Author(s):  
Paweł Więch ◽  
Marek Muster ◽  
Łukasz Godek ◽  
Izabela Sałacińska ◽  
Edyta Guty ◽  
...  
Keyword(s):  
Body Composition ◽  
Cardiopulmonary Resuscitation ◽  
Simulation Study ◽  
Medical Staff ◽  
Bioelectrical Impedance ◽  
Face Mask ◽  
The Body ◽  
Fat Free Mass ◽  
Physical Parameters ◽  
The Relationship

The provision of cardiopulmonary resuscitation (CPR) may be related to the physical parameters of the medical personnel, including fat mass (FM) and fat-free mass (FFM) components. In this study, we aimed to assess the relationship between selected body composition components and chest compression and ventilation parameters provided by medical staff. An observational simulation study was undertaken between December 2017 and January 2019 at the Center for Innovative Research in Medical and Natural Sciences of Rzeszów. In all participants (505 nurses, 37.71 y ± 12.16), the body weight and height were measured and the body mass index (BMI) was calculated. The body composition indicators were obtained using a bioelectrical impedance device, AKERN BIA 101. Afterwards, all participants performed CPR sequences (30 chest compressions and rescue for 2 breaths) for 2 min on a Laerdal Resusci Anne simulator placed on an examination couch with a self-inflating bag and a face mask. Our observations proved that high values of the anthropometric, nutritional and body composition parameters of the medical staff demonstrated a positive significant correlation with the depth and rate chest parameters and were inversely related to the chest adequate recoil. No statistically significant differences were found between the FM or FFM components and ventilation parameters. This study showed that nutritional status and body composition components may be important factors affecting the quality of CPR.

scholarly journals Body composition among long distance runners

2020 ◽  
Vol 66 (2) ◽  
pp. 180-186
Author(s):  
Joana Rosado ◽  
João P. Duarte ◽  
Paulo Sousa-e-Silva ◽  
Daniela C. Costa ◽  
Diogo V. Martinho ◽  
...  
Keyword(s):  
Body Composition ◽  
Fat Mass ◽  
Adult Male ◽  
Bioelectrical Impedance ◽  
The Body ◽  
Fat Free Mass ◽  
Body Density ◽  
Distance Runners ◽  
Long Distance ◽  
Air Displacement Plethysmography

SUMMARY OBJECTIVE The current study aimed to examine the body composition of adult male ultra-trail runners (UTR) according to their level of participation (regional UTR-R, vs. national UTR-N). METHODS The sample was composed of 44 adult male UTR (aged 36.5±7.2 years; UTR-R: n=25; UTR-N: n=19). Body composition was assessed by air displacement plethysmography, bioelectrical impedance, and dual-energy X-ray absorptiometry. In addition, the Food Frequency Questionnaire (FFQ) was applied. A comparison between the groups was performed using independent samples t-test. RESULTS Significant differences between groups contrasting in the competitive level were found for chronological age (in years; UTR-R: 38.8±8.2 vs. UTR-N: 33.5±4.1); body density (in L.kg-1; UTR-R: 1.062±0.015 vs. UTR-N: 1.074±0.009); and fat mass (in kg; UTR-R: 12.7±6.8 vs. UTR-N: 7.6±2.7). CONCLUSION UTR-N were younger, presented higher values for body density, and had less fat mass, although no significant differences were found for fat-free mass. The current study evidenced the profile of long-distance runners and the need for weight management programs to regulate body composition.

Artificial Intelligence in the Evaluation of Body Composition

2020 ◽  
Vol 24 (01) ◽  
pp. 030-037
Author(s):  
Benjamin Wang ◽  
Martin Torriani
Keyword(s):  
Artificial Intelligence ◽  
Body Composition ◽  
Large Scale ◽  
Bioelectrical Impedance ◽  
The Body ◽  
Composition Analysis ◽  
Tissue Segmentation ◽  
Cross Sectional ◽  
Body Composition Measurement ◽  
Segmentation Of Images

AbstractBody composition entails the measurement of muscle and fat mass in the body and has been shown to impact clinical outcomes in various aspects of human health. As a result, the need is growing for reliable and efficient noninvasive tools to measure body composition. Traditional methods of estimating body composition, anthropomorphic measurements, dual-energy X-ray absorptiometry, and bioelectrical impedance, are limited in their application. Cross-sectional imaging remains the reference standard for body composition analysis and is accomplished through segmentation of computed tomography and magnetic resonance imaging studies. However, manual segmentation of images by an expert reader is labor intensive and time consuming, limiting its implementation in large-scale studies and in routine clinical practice. In this review, novel methods to automate the process of body composition measurement are discussed including the application of artificial intelligence and deep learning to tissue segmentation.

Perceived stress and its relationship with the body composition of undergraduate students of a medical college in Nigeria.

2016 ◽  
Author(s):  
Ayoola Ibifubara Aiyegbusi ◽  
Sunday Rufus Akinbo ◽  
Oluwadamilola Bolarinwa Adebisi
Keyword(s):  
Body Composition ◽  
Muscle Mass ◽  
Undergraduate Students ◽  
Perceived Stress ◽  
Stress Level ◽  
Visceral Fat ◽  
Cross Sectional Study ◽  
The Body ◽  
Cross Sectional ◽  
Significant Relationships

Background: Stress among medical undergraduates has been reported to be on the increase with subsequent tendency towards obesity. However, the association between perceived stress and body composition has yet to be determined.Objective: This cross-sectional study was undertaken to determine the relationship between perceived stress and body composition among undergraduates of the College of Medicine, University of Lagos, Nigeria.Methods: Three hundred and twenty-nine apparently healthy undergraduates (165 males and 164 females) with ages between 17 to 35 years participated in the study. Physical characteristics such as weight, height, body mass index (BMI), and body composition indices were measured using standard procedures. Questionnaires were administered to assess the levels of perceived stress of the participants. The data were analyzed using mean, standard deviation and Spearman’s Correlation Coefficient analysis.Results: The mean stress level was low (27.33 ± 10.60). There were significant relationships between the body composition indices and perceived stress with visceral fat having the strongest relationship (p = 0.004) while BMI had the least correlation (p = 0.037). There were also significant relationships between age, gender and body composition indices. The percentage muscle mass, visceral fat, and body fat had significant relationships with the gender of the participants.Conclusion: Visceral fat, BMI, and percentage muscle mass increased with an increase in perceived stress level, and females had a lower level of perceived stress than males.

scholarly journals Relationships between body composition and pulmonary function in a community-dwelling population in Japan

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242308
Author(s):  
Ryosuke Kawabata ◽  
Yuki Soma ◽  
Yutaro Kudo ◽  
Junichi Yokoyama ◽  
Hiroyasu Shimizu ◽  
...  
Keyword(s):  
Body Composition ◽  
Pulmonary Function ◽  
Pulmonary Disease ◽  
Visceral Fat ◽  
Community Dwelling ◽  
The Body ◽  
Whole Body ◽  
Obstructive Pulmonary Disease ◽  
Skeletal Muscle Index ◽  
The Relationship

Pulmonary diseases, including chronic obstructive pulmonary disease (COPD), are major chronic diseases that result in decreased pulmonary function. Relationships between body composition and pulmonary function have been reported. However, few epidemiological studies have used the visceral fat area (VFA) to measure body composition. This study aimed to examine the relationship between body composition and pulmonary function. A cross-sectional study was conducted between 2015 and 2016, using data obtained from 1,287 residents aged between 19 and 91 years living in the Iwaki area of Hirosaki City, a rural region in Aomori Prefecture, Japan. Pulmonary function was evaluated using the forced vital capacity (FVC) as a percentage of the predicted value (predicted FVC%) and the ratio of forced expiratory volume in one second (FEV1) to FVC. The measurements for evaluating body composition included the body fat percentage (BFP) of the whole body and trunk, skeletal muscle index (SMI), body mass index (BMI), VFA, waist circumference (WC) at the navel level, and waist-to-hip ratio (WHR). To adjust for potential confounders, Spearman’s partial correlation analysis was used to examine the relationship between the measurements of body composition and pulmonary function. There were significant correlations between the predicted FVC% and the following parameters: BFP (whole body and trunk) in younger males; SMI in older males; WC, VFA, BMI, and SMI in younger females; and BFP (whole body and trunk) and VFA in older females. Contrastingly, WC and VFA in younger males and WC in younger females were correlated with the FEV1/FVC ratio. VFA was correlated with the FEV1/FVC ratio in younger males and predicted FVC% in older females. These findings suggest that visceral fat accumulation may increase the development of obstructive pulmonary disease in young males and accelerate the decline of pulmonary function (predicted FVC%) in older females.

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