Body Composition Measurement in Bronchiectasis: Comparison between Bioelectrical Impedance Analysis, Skinfold Thickness Measurement, and Dual-Energy X-ray Absorptiometry before and after Pulmonary Rehabilitation

Doña, Esperanza; Olveira, Casilda; Palenque, Francisco Javier; Porras, Nuria; Dorado, Antonio; Martín-Valero, Rocío; Godoy, Ana; Espíldora, Francisco; Contreras, V.; Olveira, Gabriel

doi:10.1016/j.jand.2018.01.013

Cited by 12 publications

(7 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite good statistical agreement among values obtained with dual-energy x-ray absorptiometry, skinfold thickness measurement, and bioelectrical impedance analysis, the study findings indicate that skinfold thickness measurement and bioelectrical impedance analysis, above all, tended to overestimate fat-free mass compared with dual-energy x-ray absorptiometry [7].…”

Section: Resultscontrasting

confidence: 65%

Evaluation of anthropometric methods for fat mass measurement in chronic obstructive pulmonary disease patients

Lenártová

2022

Rocz Panstw Zakl Hig

View full text Add to dashboard Cite

Background. Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory lung disease that causes obstructed airflow from the lungs. The obesity is a global problem, which is set to increase over time. Chronic obstructive lung disease is the third-leading cause of death globally, and both obesity and diet appear to play roles in its pathophysiology (e.g., role in the development of obstructive sleep apnoea and obesity hypoventilation syndrome). However, the effects of obesity on the respiratory system are often underappreciated. Objective. The objective of this study was to compare three anthropometric methods to evaluate of fat mass in COPD patients. Material and Methods. Three anthropometric methods of evaluation fat mass in a group of 60 patients with COPD were compared. To the measurement of fat mass were used: (1) Dual Energy X-ray Absorptiometry method (DEXA), specifically by DEXA densitometer QDR Discovery Wi (S/N 80227) with additional software (Body Composition Analysis); (2) four-frequency bioelectrical impedance analysis (BIA) device Bodystat Quadscan 4000 (Bodystat Ltd, British Isles); (3) skin folds measurement (SFM) with caliper (Harpenden Lange Skinfold Caliper, Cambridge Scientific Industries, Inc. Cambridge, Maryland). The measured values were statistically processed and evaluated in a statistical program Statistica Cz. version 7.1 and Microsoft Office Excel 2010 (Los Angeles, CA, USA). Differences among anthropometric methods of measurement fat mass were tested with one-way analysis of variance (ANOVA). The data were presented as mean ± standard deviation (SD). Results. DEXA method, generally accepted for assessing body composition, showed an average value of 22.48 ±11.32 kg of fat mass, which corresponds in percentage terms to the value of 29.62±9.28. BIA method for the parameter fat mass in the monitored group of COPD patients was found the mean value 25.08±10.14 kg (in percentages 30.85±8.15). An average value 28.50±8.08% of fat mass, was determined from the skinfolds measurements (SFM) and subsequent calculations. When comparing these methods (DEXA, BIA and SFM) used to determine body composition, a statistically insignificant difference was found (P >0.05). Conclusions. In this study a good correlation between three anthropometric methods (DEXA, BIA, SFM) for measuring fat mass in patients with COPD and statistically insignificant differences between them were observed. To better define changes in the nutritional status of patients with COPD using anthropometric methods over time, further studies are needed that also monitor the consequences of clinical status, rehabilitation, and nutritional treatment.

show abstract

Section: Resultscontrasting

confidence: 65%

Evaluation of anthropometric methods for fat mass measurement in chronic obstructive pulmonary disease patients

Lenártová

2022

Rocz Panstw Zakl Hig

View full text Add to dashboard Cite

show abstract

“…There are few studies in which the nutritional status in BC is evaluated, beyond the description of the BMI 15,42 . In the present work, the average BMI was normal, however, to make a more adequate approach to the assessment of nutritional status, it is also necessary to know the body composition 15 . We observed a high prevalence of low fat-free mass according to the criteria established by ESPEN, much higher in women (68.9%) when compared with men (28.6%).…”

Section: Discussionmentioning

confidence: 99%

“…This systemic inflammation could be implicated in the incidence of osteopenia and osteoporosis 12 . In patients with BC, CF, and COPD, high levels of proinflammatory cytokines have been described, associated with an increase in muscle proteolysis, a decrease in lean mass and a greater number of exacerbations, even in stable patients 13–15 . In patients with COPD, systemic inflammation seems to be an independent predictor of low BMD 16 .…”

Section: Introductionmentioning

confidence: 99%

Osteopenia and Osteoporosis in Patients with Bronchiectasis: Association with Respiratory Parameters, Body Composition, Muscle Strength and Bone Remodeling Biomarkers

Contreras-Bolívar

Olveira

Porras

et al. 2019

Sci Rep

View full text Add to dashboard Cite

The prevalence of osteopenia/osteoporosis has not been sufficiently studied in people with bronchiectasis not due to cystic fibrosis (BC), nor has its relationship with other variables (clinical, body composition and bone turnover and inflammation markers) been sufficiently studied. Our aim was to determine the prevalence of osteopenia and osteoporosis and related factors in patients with BC. We did a cross-sectional study in people with BC in a clinically stable state. Spirometric parameters, annual exacerbations and analysis with bone turnover markers (BTM) and inflammation markers were evaluated. Densitometry (DXA) was performed for body composition, bone mineral density (BMD) and handgrip strength. 123 patients were studied (65% women, mean age 49.6 ± 18.8, Body Mass Index (BMI) 24.8 ± 4.7 kg/m2). 62.8% and 62.5% of men and women, respectively, had normal bone mineral density, 30.2% and 22.2% osteopenia and 7% and 15% osteoporosis. 52 patients (56.2%) had low fat-free mass: 68.9% women and 28.6% men. Patients with decreased bone mass had significantly lower muscle strength, maximum expiratory volume in the first second (FEV1%), vitamin D, higher levels of C-terminal telopeptide of type 1 collagen (CTX) and total osteocalcin and underarboxylated osteocalcin (ucOC). We observed significant and negative correlations between BMD and the number of serious exacerbations per year CTX and undercarboxylated osteocalcin. We observed significant positive correlations between BMD, fat free mass index (FFMI) and handgrip dynamometry. The study suggest that the prevalence of osteoporosis was high in relation to the demographic characteristics. Respiratory parameters, body composition, muscle strength and bone remodeling markers were associated with a lower bone mineral density.

show abstract

“…Historically, large cohort studies and national surveys have relied on relatively inexpensive and generally reliable anthropometric measures, such as weight, height, waist circumference and skinfold measures, to estimate body composition in children and adults (12)(13)(14)(15) . However, these methods are generally not generalisable and may create biased estimates especially when body composition compartments, such as percentage body fat, have been calculated using prediction equations developed from populations that differ by age, race and/or ethnicity (16)(17)(18)(19)(20)(21) . For example, Hoffman et al (15) reported that skinfold prediction equations consistently underestimated body fat mass (FM) compared with dual-energy X-ray absorptiometry (DXA) and 2 H dilution.…”

mentioning

confidence: 99%

Development of population-specific prediction equations for bioelectrical impedance analyses in Vietnamese children

et al. 2020

View full text Add to dashboard Cite

ABSTRACT There is a need for accurate, inexpensive and field-friendly methods to assess body composition in children. Bioelectrical impedance analyzer (BIA) is a promising approach; however, there has been limited validation and use among young children in resource poor settings. We aim to develop and validate population-specific prediction equations for estimating total fat mass (FM), fat free-mass (FFM), and percent body fat (PBF) in Vietnamese children (4-7 years) using reactance and resistance from BIA, anthropometric variables and demographic information. We conducted a cross-sectional survey of 120 children. Body composition was measured using dual energy x-ray absorptiometry (DXA), BIA and anthropometry. To develop prediction equations, we split all data into development (70%) and validation datasets (30%). The model performance was evaluated using PRESS (Predicted residual error sum of squares), RMSE (Root mean squared error), MEA (Mean absolute error) and R2. We identified a top performing model with the least number of parameters (age, sex, weight and resistance index or resistance and height), low RMSE (FM 0.70, FFM 0.74, PBF 3.10), low MAE (FM 0.55, FFM 0.62, PBF 2.49), high R2 (FM 0.95, FFM 0.92, PBF 0.82), and the least difference between predicted values and actual values from DEXA (FM 0.03kg or 0.01SD, FFM 0.06kg or 0.02SD, PBF 0.27% or 0.04SD). In conclusion, we developed the first valid and highly predictive equations to estimate FM, FFM and PBF in Vietnamese children using BIA. These findings have important implications for future research on the double burden of disease and risks associated with overweight and obesity in young children.

show abstract

Body Composition Measurement in Bronchiectasis: Comparison between Bioelectrical Impedance Analysis, Skinfold Thickness Measurement, and Dual-Energy X-ray Absorptiometry before and after Pulmonary Rehabilitation

Cited by 12 publications

References 36 publications

Evaluation of anthropometric methods for fat mass measurement in chronic obstructive pulmonary disease patients

Evaluation of anthropometric methods for fat mass measurement in chronic obstructive pulmonary disease patients

Osteopenia and Osteoporosis in Patients with Bronchiectasis: Association with Respiratory Parameters, Body Composition, Muscle Strength and Bone Remodeling Biomarkers

Development of population-specific prediction equations for bioelectrical impedance analyses in Vietnamese children

Contact Info

Product

Resources

About