Test–retest reliability and validity of body composition methods in adults

Zepetnek, Julia O. Totosy de; Lee, Jennifer J.; Boateng, Terence; Plastina, Stephanie E; Cleary, Shane; Huang, L.-L.; Kucab, Michaela; Paterakis, Stella; Brett, Neil R.; Bellissimo, Nick

doi:10.1111/cpf.12716

Cited by 16 publications

(9 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These contrasting results may be attributed to sample characteristics, as Smith‐Ryan et al's sample was comprised of slightly older, overweight/obese adults when compared to the current study. Additionally, no significant mean differences in %Fat were observed between a similar seven‐site SKF‐based, ultrasound protocol and an ADP criterion (mean difference of −0.32%Fat, p = 0.99), with similar correlation and SEE ( r = 0.85 SEE = 3.86%) as observed in the current study (Totosy de Zepetnek et al, 2021). Despite some contrasting results, the tendency of ultrasound to underestimate %Fat when compared to criterion standards reported in previous research aligns with the results of the current study.…”

Section: Discussionsupporting

confidence: 80%

Agreement between ultrasound protocols for the estimation of body fat percentage: Comparison to a four‐compartment model

Sullivan

Metoyer

Winchester

et al. 2023

Clin Physio Funct Imaging

View full text Add to dashboard Cite

The purpose of this study was to examine the agreement between body fat percentage (%Fat) estimates derived from a standardized ultrasound protocol (%FatIASMS), a commonly used skinfold (SKF)‐site‐based ultrasound protocol (%FatJP), and a criterion four‐compartment (4C) model (%Fat4C). For the ultrasound protocols, all measurement sites were marked, measured and analyzed by the same evaluator. Subcutaneous adipose tissue (SAT) thickness was measured manually at the region where the muscle fascia was parallel to the skin and the average value per measurement site was used to calculate body density and subsequently %Fat. A repeated‐measures analysis of variance with a priori planned contrasts was used to compare %Fat values between the 4C criterion and both ultrasound methods. Small nonsignificant mean differences were observed between %FatIASMS (18.82 ± 14.21%Fat, effect size [ES] = 0.25, p = 0.178), %FatJP (18.23 ± 13.32%Fat, ES = 0.32, p = 0.050) and the %Fat4C criterion (21.70 ± 7.57%Fat); however, %FatIASMS did not yield a smaller mean difference than the %FatJP (p = 0.287). Additionally, %FatIASMS (r = 0.90, p < 0.001, standard error of the estimate [SEE] = 3.29%) and %FatJP (r = 0.88, p < 0.001, SEE = 3.60%) were strongly correlated with the 4C criterion, however, %FatIASMS did not yield better agreement than %FatJP (p = 0.257). Despite slightly underestimating %Fat, both ultrasound techniques demonstrated Good—Very Good agreement with the 4C criterion, with comparable mean differences, correlations, and SEE. The International Association of Sciences in Medicine and Sports (IASMS) standardized protocol using manual calculations of SAT was comparable to the SKF‐site‐based ultrasound protocol when compared to the 4C criterion. These results indicate that the IASMS (with manually measured SAT) and SKF‐site‐based ultrasound protocols may be of practical use to clinicians.

show abstract

Section: Discussionsupporting

confidence: 80%

Agreement between ultrasound protocols for the estimation of body fat percentage: Comparison to a four‐compartment model

Sullivan

Metoyer

Winchester

et al. 2023

Clin Physio Funct Imaging

View full text Add to dashboard Cite

show abstract

“…The participants were instructed to be in minimal clothing for the skinfold measurement. The fat percentage was estimated from the sum of seven skinfolds using calibrated Lange callipers (Beta Technology Inc, Cambridge, Maryland) [ 18 ]. The calibration was done using a 25 mm calibration block before each individual’s measurement.…”

Section: Methodsmentioning

confidence: 99%

Influence of smartphone-based physical activity intervention on executive functions and cardiometabolic disease risk in obese young adults: a pilot randomised controlled trial

Domal

Chandrasekaran

Palanisamy

2023

J Diabetes Metab Disord

View full text Add to dashboard Cite

Purpose Smartphone is an impending solution to influence long-term behavior change, including physical activity; however, the evidence regarding personalized prescription remains mixed in obese. We aimed to explore the influence of smartphone-based physical activity promotion on weight loss and cognitive functions in obese young adults. Methods In our pilot randomised controlled trial, 24 obese adults were randomized to two conditions: (1) EXI group receiving a smartphone-application based personalized physical activity prescription; (2) CONT group continuing their routine work for eight weeks. Executive functions and cardiometabolic risk variables [body and fat mass, waist circumference (WC), blood pressure (BP)] and executive functions were measured before and after eight weeks. Results Our study findings revealed a significant improvement in reaction times with overall (H = 7.71, p = 0.005), congruent stimuli (H = 4.43, p = 0.03) and incongruent stimuli (H = 5.35, p = 0.02) between groups. Though EXI participants reduced their fat mass by 5.07 kg more than CONT group users after eight weeks, the findings were statistically insignificant. Similarly, our study did not find significant differences in body mass, WC, BP or accuracy between EXI and CONT groups. There was a decreased user engagement (H = 5.80, p = 0.564) after the 3rd week of the study period. Conclusion Short-term smartphone-based physical activity programs may offer favourable cognitive benefits to young adults; however, the weight loss benefits remain unconvincing. Trial Registration The study was registered prospectively with the Clinical Trials Registry of India (CTRI/2022/02/040202).

show abstract

“…The scanner provided values for body geometrics including lengths, circumferences, areas, and volumes of the limbs, trunk and head. The Fit3D ProScanner's utility to produce body volume and composition metrics has been previously validated against a gold standard of Air Displacement Plethysmography (ADP) ( 9 ). Using data from the Fit3D, a body shape index (ABSI), surface-based body shape index (SBSI) and waist-to-hip ratio (WtHR) were calculated for each participant.…”

Section: Methodsmentioning

confidence: 99%

“…Two alternatives to the DEXA apparatus are 3D body scanning and Bioelectrical Impedance Analysis (BIA) technologies. Both of these modalities are of comparable accuracy ( 9 , 10 ), less invasive, less expensive, require less training and credentials to operate while providing instantaneous results. However, the utility of such low-cost and non-invasive technologies for predicting conditions such as dyslipidemia has not been adequately explored.…”

Section: Introductionmentioning

confidence: 99%

Relationships between body composition, anthropometrics, and standard lipid panels in a normative population

Weeks,

Delgado,

Wood

et al. 2023

Front. Cardiovasc. Med.

View full text Add to dashboard Cite

IntroductionMore than one third of adults in the United States (US) meet the clinical criteria for a diagnosis of metabolic syndrome, but often diagnosis is challenging due to healthcare access, costs and discomfort with the process and invasiveness associated with a standard medical examination. Less invasive and more accessible approaches to collecting biometric data may have utility in identifying individuals at risk of diagnoses, such as metabolic syndrome or dyslipidemia diagnoses. Body composition is one such source of biometric data that can be non-invasively acquired in a home or community setting that may provide insight into an individual's propensity for a metabolic syndrome diagnosis. Here we investigate possible associations between body composition, anthropometrics and lipid panels in a normative population.MethodsHealthy participants visited the Lab100 clinic location at a hospital setting in New York City and engaged in a wellness visit led by a nurse practitioner. Blood was analyzed at point-of-care using the Abbott Piccolo Xpress portable diagnostic analyzer (Abbott Laboratories, IL, USA) and produced direct measures of total cholesterol (TC), high density lipoprotein (HDL-C), low density lipoprotein (LDL-C), very-low density lipoprotein (VLDL-C), and triglycerides (TG). Body composition and anthropometric data were collected using two separate pieces of equipment during the same visit (Fit3D and InBody570). Regression analysis was performed to evaluate associations between all variables, after adjusting for age, sex, race, AUDIT-C total score (alcohol use), and current smoking status.ResultsData from 199 participants were included in the analysis. After adjusting for variables, percentage body fat (%BF) and visceral fat levels were significantly associated with every laboratory lipid value, while waist-to-hip ratio also showed some significant associations. The strongest associations were detected between %BF and VLDL-C cholesterol levels (t = 4.53, p = 0.0001) and Triglyceride levels (t = 4.51, p = 0.0001).DiscussionThis initial, exploratory analysis shows early feasibility in using body composition and anthropometric data, that can easily be acquired in community settings, to identify people with dyslipidemia in a normative population.

show abstract

Test–retest reliability and validity of body composition methods in adults

Cited by 16 publications

References 42 publications

Agreement between ultrasound protocols for the estimation of body fat percentage: Comparison to a four‐compartment model

Agreement between ultrasound protocols for the estimation of body fat percentage: Comparison to a four‐compartment model

Influence of smartphone-based physical activity intervention on executive functions and cardiometabolic disease risk in obese young adults: a pilot randomised controlled trial

Relationships between body composition, anthropometrics, and standard lipid panels in a normative population

Contact Info

Product

Resources

About