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Bennett JP, Cataldi D, Liu YE, Kelly NN, Quon BK, Schoeller DA, Kelly T, Heymsfield SB, Shepherd JA. Development and validation of a rapid multicompartment body composition model using 3-dimensional optical imaging and bioelectrical impedance analysis. Clin Nutr 2024; 43:346-356. [PMID: 38142479 DOI: 10.1016/j.clnu.2023.12.009] [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: 05/08/2023] [Revised: 11/21/2023] [Accepted: 12/11/2023] [Indexed: 12/26/2023]
Abstract
BACKGROUND & AIMS The multicompartment approach to body composition modeling provides a more precise quantification of body compartments in healthy and clinical populations. We sought to develop and validate a simplified and accessible multicompartment body composition model using 3-dimensional optical (3DO) imaging and bioelectrical impedance analysis (BIA). METHODS Samples of adults and collegiate-aged student-athletes were recruited for model calibration. For the criterion multicompartment model (Wang-5C), participants received measures of scale weight, body volume (BV) via air displacement, total body water (TBW) via deuterium dilution, and bone mineral content (BMC) via dual energy x-ray absorptiometry. The candidate model (3DO-5C) used stepwise linear regression to derive surrogate measures of BV using 3DO, TBW using BIA, and BMC using demographics. Test-retest precision of the candidate model was assessed via root mean square error (RMSE). The 3DO-5C model was compared to criterion via mean difference, concordance correlation coefficient (CCC), and Bland-Altman analysis. This model was then validated using a separate dataset of 20 adults. RESULTS 67 (31 female) participants were used to build the 3DO-5C model. Fat-free mass (FFM) estimates from Wang-5C (60.1 ± 13.4 kg) and 3DO-5C (60.3 ± 13.4 kg) showed no significant mean difference (-0.2 ± 2.0 kg; 95 % limits of agreement [LOA] -4.3 to +3.8) and the CCC was 0.99 with a similar effect in fat mass that reflected the difference in FFM measures. In the validation dataset, the 3DO-5C model showed no significant mean difference (0.0 ± 2.5 kg; 95 % LOA -3.6 to +3.7) for FFM with almost perfect equivalence (CCC = 0.99) compared to the criterion Wang-5C. Test-retest precision (RMSE = 0.73 kg FFM) supports the use of this model for more frequent testing in order to monitor body composition change over time. CONCLUSIONS Body composition estimates provided by the 3DO-5C model are precise and accurate to criterion methods when correcting for field calibrations. The 3DO-5C approach offers a rapid, cost-effective, and accessible method of body composition assessment that can be used broadly to guide nutrition and exercise recommendations in athletic settings and clinical practice.
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Affiliation(s)
- Jonathan P Bennett
- Graduate Program in Human Nutrition, University of Hawai'i at Manoa, Agricultural Science Building, 1955 East-West Rd, Honolulu, HI, 96822, USA; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Devon Cataldi
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Yong En Liu
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Nisa N Kelly
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Brandon K Quon
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Dale A Schoeller
- Department of Nutritional Sciences, University of Wisconsin-Madison, 1415 Linden Drive, Madison, WI, 53706, USA
| | - Thomas Kelly
- Hologic Inc, 250 Campus Drive, Marlborough, MA, 01752, USA
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, 6400 Perkins Rd, Baton Rouge, LA, 70808, USA
| | - John A Shepherd
- Graduate Program in Human Nutrition, University of Hawai'i at Manoa, Agricultural Science Building, 1955 East-West Rd, Honolulu, HI, 96822, USA; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA.
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Eraso-Checa F, Rosero R, González C, Cortés D, Hernández E, Polanco JP, Díaz-Tribaldos C. [Body composition models based on anthropometry, systematic literature review]. NUTR HOSP 2023; 40:1068-1079. [PMID: 37334798 DOI: 10.20960/nh.04377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2023] Open
Abstract
Introduction The body composition determination is carried out through measurement methods that require the use of specialized equipment that is difficult to acquire and manipulate. Therefore, different authors have developed mathematical models for its calculation. The target of this review was to analyze the work carried out on mathematical models of body composition variables from different anthropometric measurements, answering the following questions: what is the corporal variable that the model predicts?, what are the input variables for model development?, how is the patients typification in each model?, what data analysis method has been used?, and how has been the model evaluated? The search was limited to journals found in repositories in the areas of Medicine, Nursing, Biochemistry, Biology, Health, Pharmacology, Immunology, Engineering, and Mathematics. Four hundred and twenty-four articles were found, which were reduced to 30 by applying the systematic literature review process. The analyzed studies are oriented to the prediction of variables related to body fat mass. The evaluation results found for fat-free mass, fat mass and metabolic rate differ according to the comparison technique and the body segments analyzed. The evaluation is mainly based on the intraclass correlation, the Pearson correlation and the coefficient of determination (r2), and they present a good correlation for the population under study.
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Muntis FR, Mayer-Davis EJ, Shaikh SR, Crandell J, Evenson KR, Smith-Ryan AE. Post-Exercise Protein Intake May Reduce Time in Hypoglycemia Following Moderate-Intensity Continuous Exercise among Adults with Type 1 Diabetes. Nutrients 2023; 15:4268. [PMID: 37836552 PMCID: PMC10574378 DOI: 10.3390/nu15194268] [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: 09/12/2023] [Revised: 09/29/2023] [Accepted: 10/03/2023] [Indexed: 10/15/2023] Open
Abstract
Little is known about the role of post-exercise protein intake on post-exercise glycemia. Secondary analyses were conducted to evaluate the role of post-exercise protein intake on post-exercise glycemia using data from an exercise pilot study. Adults with T1D (n = 11), with an average age of 33.0 ± 11.4 years and BMI of 25.1 ± 3.4, participated in isoenergetic sessions of high-intensity interval training (HIIT) or moderate-intensity continuous training (MICT). Participants completed food records on the days of exercise and provided continuous glucose monitoring data throughout the study, from which time in range (TIR, 70-180 mg/dL), time above range (TAR, >180 mg/dL), and time below range (TBR, <70 mg/dL) were calculated from exercise cessation until the following morning. Mixed effects regression models, adjusted for carbohydrate intake, diabetes duration, and lean mass, assessed the relationship between post-exercise protein intake on TIR, TAR, and TBR following exercise. No association was observed between protein intake and TIR, TAR, or TBR (p-values ≥ 0.07); however, a borderline significant reduction of -1.9% (95% CI: -3.9%, 0.0%; p = 0.05) TBR per 20 g protein was observed following MICT in analyses stratified by exercise mode. Increasing post-exercise protein intake may be a promising strategy to mitigate the risk of hypoglycemia following MICT.
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Affiliation(s)
- Franklin R. Muntis
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA; (F.R.M.); (S.R.S.)
| | - Elizabeth J. Mayer-Davis
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA; (F.R.M.); (S.R.S.)
- Department of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Saame R. Shaikh
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA; (F.R.M.); (S.R.S.)
| | - Jamie Crandell
- School of Nursing, University of North Carolina, Chapel Hill, NC 27599, USA;
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Kelly R. Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA;
| | - Abbie E. Smith-Ryan
- Department of Exercise & Sports Science, University of North Carolina, Chapel Hill, NC 27599, USA;
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Nickerson BS, Tinsley GM, Park KS, Nassar B, Czerwinski SA. Evaluation of a Rapid Four-Compartment Model and Stand-Alone Methods in Hispanic Adults. J Nutr 2023; 153:2154-2162. [PMID: 37414360 PMCID: PMC10447617 DOI: 10.1016/j.tjnut.2023.06.041] [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: 03/16/2023] [Revised: 05/10/2023] [Accepted: 06/27/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND A rapid 4-compartment (4C) model integrates dual-energy x-ray absorptiometry (DXA) and multi-frequency bioimpedance analysis (MFBIA), which may be useful for clinical and research settings seeking to employ a multi-compartment model. OBJECTIVES This study aimed to determine the added benefit of a rapid 4C model over stand-alone DXA and MFBIA when estimating body composition. METHODS One hundred and thirty participants (n = 60 male; n = 70 female) of Hispanic descent were included in the present analysis. A criterion 4C model that employed air displacement plethysmography (body volume), deuterium oxide (total body water), and DXA (bone mineral) was used to measure fat mass (FM), fat-free mass (FFM), and body fat percent (%BF). A rapid 4C model (DXA-derived body volume and bone mineral; MFBIA-derived total body water) and stand-alone DXA (GE Lunar Prodigy) and MFBIA (InBody 570) assessments were compared against the criterion 4C model. RESULTS Lin's concordance correlation coefficient values were >0.90 for all comparisons. The standard error of the estimates ranged from 1.3 to 2.0 kg, 1.6 to 2.2 kg, and 2.1 to 2.7% for FM, FFM, and %BF, respectively. The 95% limits of agreement ranged from ±3.0 to 4.2 kg, ±3.1 to 4.2 kg, and ±4.9 to 5.2% for FM, FFM, and %BF, respectively. CONCLUSIONS Results revealed that all 3 methods provided acceptable body composition results. The MFBIA device used in the current study may be a more economically friendly option than DXA or when there is a need to minimize radiation exposure. Nonetheless, clinics and laboratories that already have a DXA device in place or that value having the lowest individual error when conducting a test may consider continuing to use the machine. Lastly, a rapid 4C model may be useful for assessing body composition measures observed in the current study and those provided by a multi-compartment model (e.g., protein).
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Affiliation(s)
- Brett S Nickerson
- School of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, OH, United States; College of Nursing and Health Sciences, Texas A & M International University, Laredo, TX, United States.
| | - Grant M Tinsley
- Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, TX, United States
| | - Kyung-Shin Park
- College of Nursing and Health Sciences, Texas A & M International University, Laredo, TX, United States
| | - Bassel Nassar
- School of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, OH, United States
| | - Stefan A Czerwinski
- School of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, OH, United States
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Baarts RB, Jensen MR, Hansen OM, Haddock B, Prescott E, Hovind P, Simonsen L, Bülow J, Suetta C. Age- and sex-specific changes in visceral fat mass throughout the life-span. Obesity (Silver Spring) 2023. [PMID: 37312268 DOI: 10.1002/oby.23779] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 02/21/2023] [Accepted: 03/23/2023] [Indexed: 06/15/2023]
Abstract
OBJECTIVE Visceral fat mass (VFM) is a risk factor for cardiovascular diseases, type 2 diabetes mellitus, and malignancy; however, normative data are limited. The aim of this study was to provide reference data for VFM from a large, apparently healthy Caucasian adult population. METHODS Volunteers aged 20 to 93 years from the Copenhagen City Heart Study had a standardized whole-body dual-energy x-ray absorptiometry scan performed using the iDXA (GE Lunar). Total and regional fat mass was measured. VFM was quantified using the CoreScan application. RESULTS A total of 1277 participants were included (708 women, mean [SD], age: 56 [19] years, height: 1.66 [0.07] m, BMI: 24.64 [4.31] kg/m2 ; and 569 men, age: 57 [18] years, height: 1.80 [0.07] m, BMI: 25.99 [3.86] kg/m2 ). Increased VFM was positively correlated with age in both sexes. Men had significantly higher VFM in mass (g) after normalization to body size (m2 ) and total fat mass (p < 0.001). VFM increased more in women with high values of the android/gynoid ratio. CONCLUSIONS Normative data of VFM from a large, healthy Danish cohort aged 20 to 93 years are presented. VFM increased with age in both sexes, but men had significantly higher VFM compared with women with the same BMI, body fat percentage, and fat mass index.
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Affiliation(s)
- Rikke Bannebjerg Baarts
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Mads Radmer Jensen
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Ole Michael Hansen
- Department of Clinical Physiology, Nuclear Medicine & PET, Copenhagen University Hospital - Rigshospitalet - Glostrup, Copenhagen, Denmark
| | - Bryan Haddock
- Department of Clinical Physiology, Nuclear Medicine & PET, Copenhagen University Hospital - Rigshospitalet - Glostrup, Copenhagen, Denmark
| | - Eva Prescott
- Department of Cardiology, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Peter Hovind
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Lene Simonsen
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Jens Bülow
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Charlotte Suetta
- Geriatric Research Unit, Department of Geriatric and Palliative Medicine, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
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Czeck MA, Juckett WT, Roelofs EJ, Dengel DR. Total and regional dual X-ray absorptiometry derived four-compartment model. Clin Nutr ESPEN 2023; 55:185-190. [DOI: 10.1016/j.clnesp.2023.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 03/20/2023] [Indexed: 04/01/2023]
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Brandner CF, Tinsley GM, Graybeal AJ. Smartwatch-based bioimpedance analysis for body composition estimation: precision and agreement with a 4-compartment model. Appl Physiol Nutr Metab 2023; 48:172-182. [PMID: 36462216 DOI: 10.1139/apnm-2022-0301] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Given that the prevalence of smartwatches has allowed them to become a hallmark in health monitoring, they are primed to provide accessible body composition estimations. The purpose of this study was to evaluate the precision and agreement of smartwatch-based bioimpedance analysis (SW-BIA) and multifrequency bioimpedance analysis (MFBIA) against a 4-compartment (4C) model criterion. A total of 186 participants (114 females) underwent body composition assessments necessary for a 4C model and SW-BIA and MFBIA. Values of total body water (TBW) from each device were compared with those obtained from bioimpedance spectroscopy. Precision was adequate though slightly lower for the smartwatch compared with other methods. No device demonstrated equivalence with the 4C model. Specifically, the SW-BIA overestimated and MFBIA underestimated body fat. MFBIA, but not SW-BIA, demonstrated equivalence for TBW. Overall error was higher for males using the smartwatch compared with females. While these findings do not invalidate the use of smartwatch-based estimates, clinicians should consider that there may be large errors relative to clinical measures. If this wearable device is intended to be used to monitor body composition change over time, these findings demonstrate the need for future research to evaluate its accuracy during follow-up testing.
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Affiliation(s)
- Caleb F Brandner
- School of Kinesiology & Nutrition, College of Education and Human Sciences, University of Southern Mississippi, Hattiesburg, MS 39406, USA
| | - Grant M Tinsley
- Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX 79409, USA
| | - Austin J Graybeal
- School of Kinesiology & Nutrition, College of Education and Human Sciences, University of Southern Mississippi, Hattiesburg, MS 39406, USA
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Cardaci TD, Machek SB, Wilburn DT, Heileson JL, Harris DR, Cintineo HP, Willoughby DS. LGD-4033 and MK-677 use impacts body composition, circulating biomarkers, and skeletal muscle androgenic hormone and receptor content: A case report. Exp Physiol 2022; 107:1467-1476. [PMID: 36303408 DOI: 10.1113/ep090741] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 10/06/2022] [Indexed: 12/14/2022]
Abstract
NEW FINDINGS What is the main observation in this case? Co-administration of LGD-4033 and MK-677 increased body mass, lean mass and fat mass, while negatively impacting bone, serum lipids, liver enzymes, testosterone (total and free) and, probably, follicle-stimulating hormone. What insights does it reveal? Our cross-sectional data imply that these compounds might alter intramuscular androgenic hormone and receptor concentrations along with promoting muscular strength, when compared with previously published data from trained males. ABSTRACT LGD-4033, a selective androgen receptor modulator, and MK-677, a growth hormone secretagogue, are being used increasingly amongst recreationally active demographics. However, limited data exist describing their effects on health- and androgen-related biomarkers. The purpose of this case study was to determine changes in body composition and biomarkers during and after continued co-administration of LGD-4033 and MK-677. We also aimed to examine muscular strength and intramuscular androgen-associated biomarkers relative to non-users. A 25-year-old male ingested LGD-4033 (10 mg) and MK-677 (15 mg) daily for 5 weeks. Blood and body composition metrics were obtained pre-, on- and post-cycle. One-repetition maximum leg and bench press, in addition to intramuscular androgens and androgen receptor content, were analysed on-cycle. We observed pre- to on-cycle changes in body composition (body mass, +6.0%; total lean body mass, +3.1%; trunk lean body mass, +6.6%; appendicular lean body mass, +4.3%; total fat mass, +15.4%; trunk fat mass, +2.8%; and appendicular fat mass, +14.8%), bone (bone mineral content, -3.60%; area, -1.1%; and bone mineral density, -2.1%), serum lipid-associated biomarkers (cholesterol, +14.8%; triglycerides, +39.2%; low-density lipoprotein-cholesterol, +40.0%; and high-density lipoprotein-cholesterol, -36.4%), liver-associated biomarkers (aspartate aminotransferase, +95.8%; and alanine aminotransferase, +205.0%) and androgen-associated biomarkers (free testosterone, -85.7%; total testosterone, -62.3%; and sex hormone-binding globulin, -79.6%); however, all variables returned to pre-cycle values post-cycle, apart from total fat mass, appendicular fat mass, bone area, total cholesterol and low-density lipoprotein-cholesterol. Follicle-stimulating hormone was below clinical reference values on- (1.2 IU/L) and post-cycle (1.3 IU/L). Intramuscular androgen receptor (-44.6%), testosterone (+47.8%) and dihydrotestosterone (+34.4%), in addition to one-repetition maximum leg press and bench press (+39.2 and +32.0%, respectively), were different in the case subject compared with non-users. These data demonstrate that LGD-4033 and MK-677 increase several body composition parameters, whilst negatively impacting bone and several serum biomarkers. Given the sparsity of data in recreationally using demographics, further research is warranted to elucidate the acute and chronic physiological effects of these anabolic agents.
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Affiliation(s)
- Thomas D Cardaci
- Department of Pathology, Microbiology, and Immunology, School of Medicine, University of South Carolina, Columbia, South Carolina, USA
| | - Steven B Machek
- Kinesiology Department, College of Health Sciences and Human Services, California State University, Monterey Bay, California, USA
| | - Dylan T Wilburn
- Department of Health, Human Performance, and Recreation, Baylor University, Waco, Texas, USA
| | - Jeffery L Heileson
- Nutrition Services Division, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Dillon R Harris
- Department of Health, Human Performance, and Recreation, Baylor University, Waco, Texas, USA
| | - Harry P Cintineo
- Department of Kinesiology, Lindenwood University, St. Charles, Missouri, USA
| | - Darryn S Willoughby
- School of Exercise and Sport Science, University of Mary Harden-Baylor, Belton, Texas, USA
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Czeck MA, Roelofs EJ, Juckett WT, Dengel DR. Dual X-ray absorptiometry-derived total and regional body volume. Clin Nutr ESPEN 2022; 52:100-104. [PMID: 36513440 DOI: 10.1016/j.clnesp.2022.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 10/19/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND & AIMS Although dual X-ray absorptiometry (DXA) has been used to determine total body volume, using DXA to determine regional (i.e., arm and leg) volumes needs further assessment. Thus, the aim of the present study is to evaluate the validity of total and regional DXA-derived body volume compared to a traditional method for measuring body volume. METHODS A total of 30 males and females (Age: 25.9 ± 4.0 yrs; Height: 1.75 ± 0.10 m; Weight: 70.98 ± 14.02 kg) underwent one whole body DXA scan, underwater weighing, and regional measures of volume via water displacement. Manually created DXA region of interest boxes were used to determine regional DXA body composition. Total body volume was calculated by taking the participant's dry weight and dividing it by the average density from underwater weighing. Linear regression models with body volume from underwater weighing for total body volume and water displacement for regional volume as the dependent variable and DXA lean mass, fat mass, and bone mass as independent variables created total and regional DXA-derived body volume. T-tests assessed DXA-derived body volume to the traditional method of body volume assessment. Regression models were cross-validated using the Repeated k-fold Cross Validation method. RESULTS DXA-derived total body volume was not significantly (p = 0.999) different from total body volume measured via total body water displacement. In addition, both arm and leg regional DXA-derived volume was not significantly different (p = 0.999) compared to regional volume measured by regional water displacement. Cross-validation of each model produced R2 values of 0.992, 0.923, and 0.932 for total body, arm, and leg, respectively. CONCLUSIONS The DXA may be used as valid method for estimating total and regional body volume. Thus, these results expand the DXA's capabilities and potentially allow for a convenient regional four-compartment model with DXA-derived regional volume.
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Affiliation(s)
- Madeline A Czeck
- School of Kinesiology, University of Minnesota, Minneapolis, MN, 55455, USA.
| | - Erica J Roelofs
- School of Kinesiology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - William T Juckett
- School of Kinesiology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Donald R Dengel
- School of Kinesiology, University of Minnesota, Minneapolis, MN, 55455, USA
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Graybeal AJ, Brandner CF, Tinsley GM. Visual body composition assessment methods: A 4-compartment model comparison of smartphone-based artificial intelligence for body composition estimation in healthy adults. Clin Nutr 2022; 41:2464-2472. [PMID: 36215866 DOI: 10.1016/j.clnu.2022.09.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 09/01/2022] [Accepted: 09/25/2022] [Indexed: 12/25/2022]
Abstract
BACKGROUND & AIMS Visual body composition (VBC) estimates produced from smartphone-based artificial intelligence represent a user-friendly and convenient way to automate body composition remotely and without the inherent geographical and monetary restrictions of other body composition methods. However, there are limited studies that have assessed the reliability and agreement of this method and thus, the aim of this study was to evaluate VBC estimates compared to a 4-compartment (4C) criterion model. METHODS A variety of body composition assessments were conducted across 184 healthy adult participants (114 F, 70 M) including dual-energy X-ray absorptiometry and bioimpedance spectroscopy for utilization in the 4C model and automated assessments produced from two smartphone applications (Amazon Halo®, HALO; and myBVI®) using either Apple® or Samsung® phones. Body composition components were compared to a 4C model using equivalence testing, root mean square error (RMSE), and Bland-Altman analysis. Separate analyses by sex and racial/ethnic groups were conducted. Precision metrics were conducted for 183 participants using intraclass correlation coefficients (ICC), root mean squared coefficients of variation (RMS-%CV) and precision error (PE). RESULTS Only %fat produced from HALO devices demonstrated equivalence with the 4C model although mean differences for HALO were <±1.0 kg for FM and FFM. RMSEs ranged from 3.9% to 6.2% for %fat and 3.1-5.2 kg for FM and FFM. Proportional bias was apparent for %fat across all VBC applications but varied for FM and FFM. Validity metrics by sex and specific racial/ethnic groups varied across applications. All VBC applications were reliable for %fat, fat mass (FM), and fat-free mass (FFM) with ICCs ≥0.99, RMS-%CV between 0.7% and 4.3%, and PEs between 0.3% and 0.6% for %fat and 0.2-0.5 kg for FM and FFM including assessments between smartphone types. CONCLUSIONS Smartphone-based VBC estimates produce reliable body composition estimates but their equivalence with a 4C model varies by the body composition component being estimated and the VBC being employed. VBC estimates produced by HALO appear to have the lowest error, but proportional bias and estimates by sex and race vary across applications.
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Affiliation(s)
- Austin J Graybeal
- School of Kinesiology & Nutrition, College of Education and Human Sciences, University of Southern Mississippi, Hattiesburg, MS 39406, USA.
| | - Caleb F Brandner
- School of Kinesiology & Nutrition, College of Education and Human Sciences, University of Southern Mississippi, Hattiesburg, MS 39406, USA
| | - Grant M Tinsley
- Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX 79409, USA
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11
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Equations based on anthropometric measurements for adipose tissue, body fat, or body density prediction in children and adolescents: a scoping review. Eat Weight Disord 2022; 27:2321-2338. [PMID: 35699918 DOI: 10.1007/s40519-022-01405-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 04/05/2022] [Indexed: 10/18/2022] Open
Abstract
PURPOSE Assessing the body composition of children and adolescents is important to monitor their health status. Anthropometric measurements are feasible and less-expensive than other techniques for body composition assessment. This study aimed to systematically map anthropometric equations to predict adipose tissue, body fat, or density in children and adolescents, and to analyze methodological aspects of the development of anthropometric equations using skinfolds. METHODS A scoping review was carried out following the PRISMA-ScR criteria. The search was carried out in eight databases. The methodological structure protocol of this scoping review was retrospectively registered in the Open Science Framework ( https://osf.io/35uhc/ ). RESULTS We included 78 reports and 593 anthropometric equations. The samples consisted of healthy individuals, people with different diseases or disabilities, and athletes from different sports. Dual-energy X-ray absorptiometry (DXA) was the reference method most commonly used in developing equations. Triceps and subscapular skinfolds were the anthropometric measurements most frequently used as predictors in the equations. Age, stage of sexual maturation, and peak height velocity were used as complementary variables in the equations. CONCLUSION Our scoping review identified equations proposed for children and adolescents with a great diversity of characteristics. In many of the reports, important methodological aspects were not addressed, a factor that may be associated with equation bias. LEVEL IV Evidence obtained from multiple time series analysis such as case studies. (NB: dramatic results in uncontrolled trials might also be regarded as this type of evidence).
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Doo AR, Ki MJ, Park SO, Lee JH, Ko S. Influence of body fatness on propofol requirements for loss of consciousness in target-controlled infusion: A STROBE-compliant study. Medicine (Baltimore) 2022; 101:e30179. [PMID: 36107531 PMCID: PMC9439823 DOI: 10.1097/md.0000000000030179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
This prospective observational study evaluated the effects of body fat on the pharmacologic effect of propofol. Hundred patients aged 18 to 75 years who were scheduled to undergo orthopedic surgery under regional block were enrolled. All participants underwent bioelectrical impedance analysis and were allocated into 2 groups: the high and normal adiposity group, according to percent body fat. Following successful regional block, propofol was incrementally infused until loss of consciousness (LOC) with a target-controlled infusion pump. The effect-site concentration of propofol at LOC and the total infused dose of propofol per total body weight until LOC were recorded. At the end of the surgery, the infusion of propofol was stopped. The elapsed time to recovery of consciousness (ROC) and the effect-site concentration at ROC were recorded. These pharmacologic data were compared between 2 groups. The effect-site concentration of propofol at LOC (µg/mL) was significantly lower in the high adiposity group than in the normal group in both sexes (3.5 ± 0.4 vs 3.9 ± 0.6; P = .020 in males, and 3.4 [interquartile range: 2.9-3.5] vs 3.8 [interquartile range: 3.3-3.9]; P = .006 in females). Total dose per total body weight until LOC (mg/kg) were also significantly lower in the high adiposity group than in the normal group. There was no significant difference in the data related to ROC. The pharmacologic effects of propofol may be affected by the composition of body components. The concentration of propofol using a target-controlled infusion system may be diminished in patients with a high proportion of body fat.
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Affiliation(s)
- A. Ram Doo
- Department of Anesthesiology and Pain Medicine, Jeonbuk National University Medical School, Jeonju, South Korea
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea
| | - Min Jong Ki
- Department of Anesthesiology and Pain Medicine, Jeonbuk National University Medical School, Jeonju, South Korea
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea
| | - Seong Ok Park
- Department of Anesthesiology and Pain Medicine, Jeonbuk National University Medical School, Jeonju, South Korea
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea
| | - Jun Ho Lee
- Department of Anesthesiology and Pain Medicine, Jeonbuk National University Medical School, Jeonju, South Korea
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea
| | - Seonghoon Ko
- Department of Anesthesiology and Pain Medicine, Jeonbuk National University Medical School, Jeonju, South Korea
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea
- *Corresponence: Seonghoon Ko, Department of Anesthesiology and Pain Medicine, Medical School, Jeonbuk National University, 20 Geonji-ro, Deokjin-gu, Jeonju, Jeollabuk-do 54907, South Korea (e-mail: )
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Abawi O, Koster EC, Welling MS, Boeters SC, van Rossum EFC, van Haelst MM, van der Voorn B, de Groot CJ, van den Akker ELT. Resting Energy Expenditure and Body Composition in Children and Adolescents With Genetic, Hypothalamic, Medication-Induced or Multifactorial Severe Obesity. Front Endocrinol (Lausanne) 2022; 13:862817. [PMID: 35898454 PMCID: PMC9309560 DOI: 10.3389/fendo.2022.862817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 06/08/2022] [Indexed: 11/30/2022] Open
Abstract
Background Pediatric obesity is a multifactorial disease which can be caused by underlying medical disorders arising from disruptions in the hypothalamic leptin-melanocortin pathway, which regulates satiety and energy expenditure. Aim To investigate and compare resting energy expenditure (REE) and body composition characteristics of children and adolescents with severe obesity with or without underlying medical causes. Methods This prospective observational study included pediatric patients who underwent an extensive diagnostic workup in our academic centre that evaluated endocrine, non-syndromic and syndromic genetic, hypothalamic, and medication-induced causes of obesity. REE was assessed by indirect calorimetry; body composition by air displacement plethysmography. The ratio between measured REE (mREE) and predicted REE (Schofield equations), REE%, was calculated, with decreased mREE defined as REE% ≤90% and elevated mREE ≥110%. Additionally, the influence of fat-free-mass (FFM) on mREE was evaluated using multiple linear regression. Results We included 292 patients (146 [50%] with body composition measurements), of which 218 (75%) patients had multifactorial obesity and 74 (25%) an underlying medical cause: non-syndromic and syndromic genetic (n= 29 and 28, respectively), hypothalamic (n= 10), and medication-induced (n= 7) obesity. Mean age was 10.8 ± 4.3 years, 59% were female, mean BMI SDS was 3.8 ± 1.1, indicating severe obesity. Mean REE% was higher in children with non-syndromic genetic obesity (107.4% ± 12.7) and lower in children with hypothalamic obesity (87.6% ± 14.2) compared to multifactorial obesity (100.5% ± 12.6, both p<0.01). In 9 children with pseudohypoparathyroidism type 1a, mean REE% was similar (100.4 ± 5.1). Across all patients, mREE was decreased in 60 (21%) patients and elevated in 69 (24%) patients. After adjustment for FFM, mREE did not differ between patients within each of the subgroups of underlying medical causes compared to multifactorial obesity (all p>0.05). Conclusions In this cohort of children with severe obesity due to various etiologies, large inter-individual differences in mREE were found. Consistent with previous studies, almost half of patients had decreased or elevated mREE. This knowledge is important for patient-tailored treatment, e.g. personalized dietary and physical activity interventions and consideration of pharmacotherapy affecting central energy expenditure regulation in children with decreased mREE.
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Affiliation(s)
- Ozair Abawi
- Dept. of Pediatrics, div. of Endocrinology, Erasmus MC-Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Emma C. Koster
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Dept. of Dietetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Mila S. Welling
- Dept. of Pediatrics, div. of Endocrinology, Erasmus MC-Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Dept. of Internal Medicine, div. of Endocrinology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Sanne C.M. Boeters
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Dept. of Dietetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Elisabeth F. C. van Rossum
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Dept. of Internal Medicine, div. of Endocrinology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Mieke M. van Haelst
- Dept. of Human Genetics, Amsterdam University Medical Center, Location AMC, University of Amsterdam & Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Bibian van der Voorn
- Dept. of Pediatrics, div. of Endocrinology, Erasmus MC-Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Dept. of Internal Medicine, div. of Endocrinology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Cornelis J. de Groot
- Dept. of Pediatrics, div. of Endocrinology, Erasmus MC-Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Dept. of Pediatrics, Willem-Alexander Children’s Hospital, Leiden University Medical Center, Leiden, Netherlands
| | - Erica L. T. van den Akker
- Dept. of Pediatrics, div. of Endocrinology, Erasmus MC-Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands
- Obesity Center CGG, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
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Li K, Yu H, Lin X, Su Y, Gao L, Song M, Fan H, Krokosz D, Yang H, Lipowski M. The Effects of Er Xian Decoction Combined with Baduanjin Exercise on Bone Mineral Density, Lower Limb Balance Function, and Mental Health in Women with Postmenopausal Osteoporosis: A Randomized Controlled Trial. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE : ECAM 2022; 2022:8602753. [PMID: 35815264 PMCID: PMC9262512 DOI: 10.1155/2022/8602753] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/20/2022] [Accepted: 05/21/2022] [Indexed: 12/18/2022]
Abstract
Background Postmenopausal osteoporosis (PMOP) is a common disease in older women that can severely jeopardize their health. Previous studies have demonstrated the effect of Er xian decoction (EXD) or Baduanjin exercise (BE) on PMOP. However, reports on the effect of EXD combined with BE on PMOP are limited. This study aimed to investigate the impact of EXD combined with BE on bone mineral density (BMD), lower limb balance, and mental health in women with PMOP. Methods A 1 : 1 : 1 simple randomization technique was employed. Fifty participants with postmenopausal osteoporosis were allocated to three groups: the EXD group (EXD = 15); the BE group (BE = 18); and the combined group (EXD + BE = 17). After both 8 weeks and 16 weeks of intervention treatment, participants improved significantly with respect to BMD and the one-leg standing test (OLST), Berg balance scale (BBS), timed up and go (TUG) test, self-anxiety scale (SAS), and self-rating depression scale (SDS). The results were used to compare the effect of the intervention on BMD, lower limb balance function, and mental health in patients with PMOP. Results Compared to the EXD and BE groups, the EXD + BE group showed the strongest effects on BMD, lower limb balance function, and mental health (p < 0.01). A correlation between BMD and lower limb balance and mental health was noted in the EXD + BE group. The change in mental health (SAS score) was correlated with BMD (femoral neck) improvement. Conclusions The present study demonstrates that EXD combined with BE (EXD + BE) may have a therapeutic advantage over both monotherapies for treating BMD, lower limb balance function, and mental health in patients with PMOP. The feasibility of the approach for a large-scale RCT was also confirmed. Er xian decoction combined with Baduanjin exercise (EXD + BE) might offer a viable treatment alternative for participants with postmenopausal osteoporosis given its promising effects in disease control and treatment, with good efficacy and safety profiles.
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Affiliation(s)
- Keqiang Li
- Gdansk University of Physical Education and Sport, Gdańsk, Poland
| | - Hongli Yu
- Gdansk University of Physical Education and Sport, Gdańsk, Poland
| | - Xiaojun Lin
- School of Public Health and Management, Wenzhou Medical University, Wenzhou, China
| | - Yuying Su
- Physical Education College, Bohai University, Jinzhou, China
| | - Lifeng Gao
- Henan Province Hospital of Traditional Chinese Medicine, Zhengzhou, China
| | - Minjia Song
- Harbin University of Physical Education, Harbin, China
| | - Hongying Fan
- School of Psychology, Beijing Sport University, Beijing, China
| | - Daniel Krokosz
- Gdansk University of Physical Education and Sport, Gdańsk, Poland
| | - Huixin Yang
- Harbin University of Physical Education, Harbin, China
| | - Mariusz Lipowski
- Gdansk University of Physical Education and Sport, Gdańsk, Poland
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Influence of the amount of skeletal muscle mass on rocuronium-induced neuromuscular block. Anaesth Crit Care Pain Med 2022; 41:101086. [PMID: 35490864 DOI: 10.1016/j.accpm.2022.101086] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 01/19/2022] [Accepted: 01/22/2022] [Indexed: 11/21/2022]
Abstract
OBJECTIVE To evaluate the effects of skeletal muscle mass on the rocuronium-induced neuromuscular block. DESIGN A prospective, double-blinded, observational study SETTING: A tertiary care university hospital POPULATION: One hundred one patients aged 18-65 years who were scheduled to undergo major surgery lasting more than 1 h under general anaesthesia. METHODS All participants underwent body composition analysis before anaesthesia and were allocated into two groups; the muscular and non-muscular group, according to skeletal muscle mass. During anaesthesia induction, rocuronium 1.0 mg kg-1 of total body weight was injected followed by neuromuscular monitoring using train-of-four stimulation every 15 s. MAIN OUTCOME MEASURES The onset time of rocuronium included the elapsed time from the rocuronium injection until 95% depression of first twitch (T1) and the time to no response to TOF stimulation. The duration was evaluated as the elapsed time from the rocuronium injection to 25% recovery of the final T1 (TDUR25), and the time to the reappearance of T1 (TTOF1) and T4 (TTOF4). These pharmacologic data were compared between two groups. RESULTS There was no significant difference in the onset time of rocuronium between the two groups. However, TDUR25 (min) was significantly shorter in the muscular group than in the non-muscular group (p = 0.035 and p = 0.014 in males and females, respectively). TTOF1 and TTOF4 were also shorter in the muscular group than in the non-muscular group. CONCLUSIONS Total body weight-based dosing of rocuronium might prolong the neuromuscular relaxation effect in patients with a small amount of skeletal muscle.
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Gould LM, Gordon AN, Cabre HE, Hoyle AT, Ryan ED, Hackney AC, Smith-Ryan AE. Metabolic effects of menopause: a cross-sectional characterization of body composition and exercise metabolism. Menopause 2022; 29:377-389. [PMID: 35231009 DOI: 10.1097/gme.0000000000001932] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 11/01/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To evaluate body composition, fat distribution, and metabolism at rest and during exercise in premenopausal, perimenopausal, and postmenopausal women. METHODS This cross-sectional study in 72 women ages 35 to 60 years evaluated body composition via a fourcompartment model, fat distribution using dual-energy x-ray absorptiometry-derived android to gynoid ratio, metabolic measures via indirect calorimetry, and lifestyle factors using surveys. One-way analyses of variance and one-way analyses of covariance covaried for age and hormone levels (estrogen and progesterone) were used to compare groups. RESULTS Body fat percent was significantly lower in premenopausal than perimenopausal women (mean difference ± standard error: - 10.29 ± 2.73%, P = 0.026) despite similarities in fat mass and fat-free mass between groups (P≥0.217). Android to gynoid ratio was significantly lower in premenopausal than perimenopausal women (MD ± SE: -0.16 ± 0.05 a.u., P = 0.031). Resting energy expenditure was similar between groups (P = 0.999). Fat oxidation during moderate intensity cycle ergometer exercise was significantly greater in premenopausal than postmenopausal women (MD ± SE: 0.09 ± 0.03 g/min, P = 0.045). The change in respiratory exchange ratio between rest and moderate intensity exercise was significantly lower in premenopausal women than peri- (MD ± SE: -0.05 ± 0.03 a.u., P = 0.035) and postmenopausal women (MD ± SE: -0.06 ± 0.03 a.u., P = 0.040). Premenopausal women reported significantly fewer menopause symptoms than peri- (MD ± SE: -6.58 ± 1.52 symptoms, P = 0.002) and postmenopausal participants (MD ± SE: -4.63 ± 1.52 symptoms, P = 0.044), while similarities between groups were observed for lifestyle factors including diet and physical activity (P>0.999). CONCLUSIONS Perimenopause may be the most opportune window for lifestyle intervention, as this group experienced the onset of unfavorable body composition and metabolic characteristics. VIDEO SUMMARY http://links.lww.com/MENO/A932.
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Affiliation(s)
- Lacey M Gould
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Amanda N Gordon
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Hannah E Cabre
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Neuromuscular Assessment Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC; and
- Department of Nutrition, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC. Funding/support: This research study was supported by a grant from the Center for Women's Health Research
| | - Andrew T Hoyle
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Eric D Ryan
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Neuromuscular Assessment Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC; and
- Department of Nutrition, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC. Funding/support: This research study was supported by a grant from the Center for Women's Health Research
| | - Anthony C Hackney
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Neuromuscular Assessment Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC; and
- Department of Nutrition, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC. Funding/support: This research study was supported by a grant from the Center for Women's Health Research
| | - Abbie E Smith-Ryan
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Neuromuscular Assessment Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC; and
- Department of Nutrition, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC. Funding/support: This research study was supported by a grant from the Center for Women's Health Research
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Bennett JP, Liu YE, Quon BK, Kelly NN, Wong MC, Kennedy SF, Chow DC, Garber AK, Weiss EJ, Heymsfield SB, Shepherd JA. Assessment of clinical measures of total and regional body composition from a commercial 3-dimensional optical body scanner. Clin Nutr 2022; 41:211-218. [PMID: 34915272 PMCID: PMC8727542 DOI: 10.1016/j.clnu.2021.11.031] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 11/16/2021] [Accepted: 11/24/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND The accurate assessment of total body and regional body circumferences, volumes, and compositions are critical to monitor physical activity and dietary interventions, as well as accurate disease classifications including obesity, metabolic syndrome, sarcopenia, and lymphedema. We assessed body composition and anthropometry estimates provided by a commercial 3-dimensional optical (3DO) imaging system compared to criterion measures. METHODS Participants of the Shape Up! Adults study were recruited for similar sized stratifications by sex, age (18-40, 40-60, >60 years), BMI (under, normal, overweight, obese), and across five ethnicities (non-Hispanic [NH] Black, NH White, Hispanic, Asian, Native Hawaiian/Pacific Islander). All participants received manual anthropometry assessments, duplicate whole-body 3DO (Styku S100), and dual-energy X-ray absorptiometry (DXA) scans. 3DO estimates provided by the manufacturer for anthropometry and body composition were compared to the criterion measures using concordance correlation coefficient (CCC) and Bland-Altman analysis. Test-retest precision was assessed by root mean square error (RMSE) and coefficient of variation. RESULTS A total of 188 (102 female) participants were included. The overall fat free mass (FFM) as measured by DXA (54.1 ± 15.2 kg) and 3DO (55.3 ± 15.0 kg) showed a small mean difference of 1.2 ± 3.4 kg (95% limits of agreement -7.0 to +5.6) and the CCC was 0.97 (95% CI: 0.96-0.98). The CCC for FM was 0.95 (95% CI: 0.94-0.97) and the mean difference of 1.3 ± 3.4 kg (95% CI: -5.5 to +8.1) reflected the difference in FFM measures. 3DO anthropometry and body composition measurements showed high test-retest precision for whole body volume (1.1 L), fat mass (0.41 kg), percent fat (0.60%), arm and leg volumes, (0.11 and 0.21 L, respectively), and waist and hip circumferences (all <0.60 cm). No group differences were observed when stratified by body mass index, sex, or race/ethnicity. CONCLUSIONS The anthropometric and body composition estimates provided by the 3DO scanner are precise and accurate to criterion methods if offsets are considered. This method offers a rapid, broadly available, and automated method of body composition assessment regardless of body size. Further studies are recommended to examine the relationship between measurements obtained by 3DO scans and metabolic health in healthy and clinical populations.
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Affiliation(s)
- Jonathan P Bennett
- Graduate Program in Human Nutrition, University of Hawai'i Manoa, Agricultural Science Building, 1955 East-West Rd, Honolulu, HI, 96822, USA; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA.
| | - Yong En Liu
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Brandon K Quon
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Nisa N Kelly
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Michael C Wong
- Graduate Program in Human Nutrition, University of Hawai'i Manoa, Agricultural Science Building, 1955 East-West Rd, Honolulu, HI, 96822, USA; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Samantha F Kennedy
- Pennington Biomedical Research Center, Louisiana State University, 6400 Perkins Rd, Baton Rouge, LA, 70808, USA
| | - Dominic C Chow
- John A. Burns School of Medicine, University of Hawaii, 651 Ilalo St, Honolulu, HI, 96813, USA
| | - Andrea K Garber
- Division of Adolescent & Young Adult Medicine, University of California, San Francisco, 3333 California Street, Suite 245, CA, 94118, USA
| | - Ethan J Weiss
- University of California School of Medicine, 555 Mission Bay Blvd South, San Francisco, CA, 94158, USA
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, 6400 Perkins Rd, Baton Rouge, LA, 70808, USA
| | - John A Shepherd
- Graduate Program in Human Nutrition, University of Hawai'i Manoa, Agricultural Science Building, 1955 East-West Rd, Honolulu, HI, 96822, USA; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
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18
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Sullivan K, Hornikel B, Holmes CJ, Esco MR, Fedewa MV. Validity of a 3-compartment body composition model using body volume derived from a novel 2-dimensional image analysis program. Eur J Clin Nutr 2022; 76:111-118. [PMID: 33772216 PMCID: PMC8764971 DOI: 10.1038/s41430-021-00899-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 02/17/2021] [Accepted: 03/02/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND/OBJECTIVES The purpose of this study was: (1) to compare body volume (BV) estimated from a 2-dimensional (2D) image analysis program (BVIMAGE), and a dual-energy x-ray absorptiometry (DXA) equation (BVDXA-Smith-Ryan) to an underwater weighing (UWW) criterion (BVUWW); (2) to compare relative adiposity (%Fat) derived from a 3-compartment (3C) model using BVIMAGE (%Fat3C-IMAGE), and a 4-compartment (4C) model using BVDXA-Smith-Ryan (%Fat4C-DXA-Smith-Ryan) to a 4C criterion model using BVUWW (%Fat4C-UWW). SUBJECT/METHODS Forty-eight participants were included (60% male, 22.9 ± 5.0 years, 24.2 ± 2.6 kg/m2). BVIMAGE was derived using a single digital image of each participant taken from the rear/posterior view. DXA-derived BV was calculated according to Smith-Ryan et al. Bioimpedance spectroscopy and DXA were used to measure total body water and bone mineral content, respectively, in the 3C and 4C models. A standardized mean effect size (ES) assessed the magnitude of differences between models with values of 0.2, 0.5, and 0.8 for small, moderate, and large differences, respectively. Data are presented as mean ± standard deviation. RESULTS Near-perfect correlation (r = 0.998, p < 0.001) and no mean differences (p = 0.267) were observed between BVIMAGE (69.6 ± 11.5 L) and BVUWW (69.5 ± 11.4 L). No mean differences were observed between %Fat4C-DXA-Smith-Ryan and the %Fat4C-UWW criterion (p = 0.988). Small mean differences were observed between %Fat3C-IMAGE and %Fat4C-UWW (ES = 0.2, p < 0.001). %Fat3C-IMAGE exhibited smaller SEE and TE, and tighter limits of agreement than %Fat4C-DXA-Smith-Ryan. CONCLUSIONS The 2D image analysis program provided an accurate and non-invasive estimate of BV, and subsequently %Fat within a 3C model in generally healthy, young adults.
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Affiliation(s)
- Katherine Sullivan
- Exercise Physiology Laboratory, Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, USA
| | - Bjoern Hornikel
- Exercise Physiology Laboratory, Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, USA
| | - Clifton J. Holmes
- Exercise Physiology Laboratory, Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, USA,Program in Physical Therapy, School of Medicine, Washington University, St. Louis, MO, USA
| | - Michael R. Esco
- Exercise Physiology Laboratory, Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, USA
| | - Michael V. Fedewa
- Exercise Physiology Laboratory, Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, USA
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19
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Schlösser L, Delgado FSG, Silva LVD, Copetti CLK, Pietro PFD, Hinnig PDF, Carvalho JD, Moreno YMF, Hansen F. Validity of body fat percentage through different methods of body composition assessment in elite soccer referees. REVISTA BRASILEIRA DE CINEANTROPOMETRIA E DESEMPENHO HUMANO 2022. [DOI: 10.1590/1980-0037.2022v24e84121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
abstract The arbitration exercise in a soccer game requires high physical fitness and all federations apply physical tests to referees, including anthropometric tests, classifying them as fit or not for the role. The aim of this study was to assess the validity of the total body fat percentage (%BF) through different evaluation methods of body composition referenced in a four-compartment (4C) model. Cross-sectional study performed in 2018 with 21 elite male referees. %BF was estimated by 4 methods: anthropometry; bioelectrical impedance analysis (BIA); Dual X-ray absorptiometry (DXA) and air displacement plethysmography (ADP). Moreover, three and four-compartment (3 and 4C) models were calculated. Bland–Altman and intraclass correlations (ICC) analysis were performed to determine validity of all methods compared to a 4C reference. The results of one-way ANOVA revealed that there was no significant difference (F=1.541; p=0.182) between %BF analyzed by 4C model (15.98 ± 6.20), anthropometry (mean ± SD, 18.46 ± 7.03), ADP (16.19 ± 6.24), BIA (16.67 ± 5.30), DXA (20.33 ± 6.56) and 3C (16.92 ± 5.53). The Bland–Altman analysis showed that all methods analyzed overestimate %BF compared to the 4C model. The best agreement was obtained from the ADP evaluation (bias=-0.2), followed by BIA (bias=-0.6), 3C (bias=-0.9), anthropometry (bias=-2.4) and DXA (bias=-4.3). Validation assessed by ICC was excellent (ICC≥0.90) in most methods, except for anthropometry (ICC=0.80) and DXA (ICC=0.71). Overall, the results suggest that ADP, BIA and 3C were the best method to %BF evaluation. Nevertheless, anthropometry remains as a feasible method to monitor %BF of elite soccer referees.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Fernanda Hansen
- Federal University of Santa Catarina, Brazil; Federal University of Santa Catarina, Brazil
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20
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Metabolic effects of high-intensity interval training and essential amino acids. Eur J Appl Physiol 2021; 121:3297-3311. [PMID: 34427732 DOI: 10.1007/s00421-021-04792-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 08/13/2021] [Indexed: 10/20/2022]
Abstract
High-intensity interval training (HIIT) promotes positive cardiometabolic and body composition changes. Essential amino acids (EAA) may support changes associated with HIIT, but evaluation of potential synergistic effects is lacking. The purpose of this study was to compare independent and combined effects of HIIT and EAA on total body composition and metabolism in men and women considered overweight/obese; an exploratory aim was to evaluate the modulatory effects of sex. Sixty-six healthy adults (50% female; Age: 36.7 ± 6.0 years; BMI: 32.0 ± 4.2 kg/m2) completed 8 weeks of: (1) HIIT, 2 days/weeks; (2) EAA supplementation, 3.6 g twice daily; (3) HIIT + EAA; or (4) control. Body composition, resting metabolic rate (RMR), substrate metabolism (respiratory exchange ratio; RER), and cardiorespiratory fitness were measured at baseline, 4 weeks, and 8 weeks; cardiometabolic blood markers were measured at baseline and 8 weeks. Differences between groups were assessed by linear mixed models covaried for baseline values, followed by 95% confidence intervals (CI) on adjusted mean change scores. There were no significant changes in body composition (p > 0.05) for any group. Changes in RER, but not RMR, occurred with HIIT (mean change; [95% CI]: - 0.04; [- 0.07, - 0.02]) and EAA (- 0.03; [- 0.06, - 0.01]) after 8 weeks. Cardiorespiratory fitness increased following 8 weeks of HIIT (+ 5.1 ml/kg/min [3.3,6.8]) and HIIT + EAA (+ 4.1 ml/kg/min [1.0,6.4]). Changes with HIIT + EAA were not significantly different from HIIT. There were no changes in cardiometabolic markers (p > 0.05) and no sex interaction (p > 0.05). HIIT is efficacious for promoting positive changes in cardiorespiratory fitness and resting substrate metabolism in adults considered overweight/obese. Addition of EAA did not significantly enhance HIIT-induced adaptations. ClinicalTrials.gov ID#NCT04080102.
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21
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Smith-Ryan AE, Brewer G, Gould LM, Blue MNM, Hirsch KR, Greenwalt CE, Harrison C, Cabre HE, Ryan ED. Acute feeding has minimal effect on the validity of body composition and metabolic measures: dual-energy X-ray absorptiometry and a multi-compartment model. Br J Nutr 2021; 128:1-13. [PMID: 34392839 DOI: 10.1017/s0007114521003147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Understanding the effects of acute feeding on body composition and metabolic measures is essential to the translational component and practical application of measurement and clinical use. To investigate the influence of acute feeding on the validity of dual-energy X-ray absorptiometry (DXA), a four-compartment model (4C) and indirect calorimetry metabolic outcomes, thirty-nine healthy young adults (n 19 females; age: 21·8 (sd 3·1) years, weight; 71·5 (sd 10·0) kg) participated in a randomised cross-over study. Subjects were provided one of four randomised meals on separate occasions (high carbohydrate, high protein, ad libitum or fasted baseline) prior to body composition and metabolic assessments. Regardless of macronutrient content, acute feeding increased DXA percent body fat (%fat) for the total sample and females (average constant error (CE):-0·30 %; total error (TE): 2·34 %), although not significant (P = 0·062); the error in males was minimal (CE: 0·11 %; TE: 0·86 %). DXA fat mass (CE: 0·26 kg; TE: 0·75 kg) and lean mass (LM) (CE: 0·83 kg; TE: 1·23 kg) were not altered beyond measurement error for the total sample. 4C %fat was significantly impacted from all acute feedings (avg CE: 0·46 %; TE: 3·7 %). 4C fat mass (CE: 0·71 kg; TE: 3·38 kg) and fat-free mass (CE: 0·55 kg; TE: 3·05 kg) exceeded measurement error for the total sample. RMR was increased for each feeding condition (TE: 1666·9 kJ/d; 398 kcal/d). Standard pre-testing fasting guidelines may be important when evaluating DXA and 4C %fat, whereas additional DXA variables (fat mass and LM) may not be significantly impacted by an acute meal. Measuring body composition via DXA under less stringent pre-testing guidelines may be valid and increase feasibility of testing in clinical settings.
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Affiliation(s)
- Abbie E Smith-Ryan
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gabrielle Brewer
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lacey M Gould
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Malia N M Blue
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Katie R Hirsch
- Department of Geriatrics, Donald W. Reynolds Institute on Aging, Center for Translational Research in Aging & Longevity, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Casey E Greenwalt
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Courtney Harrison
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hannah E Cabre
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Eric D Ryan
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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22
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Heymsfield SB, Smith B, Wong M, Bennett J, Ebbeling C, Wong JMW, Strauss BJG, Shepherd J. Multicomponent density models for body composition: Review of the dual energy X-ray absorptiometry volume approach. Obes Rev 2021; 22:e13274. [PMID: 34101964 PMCID: PMC11419666 DOI: 10.1111/obr.13274] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 04/19/2021] [Indexed: 11/27/2022]
Abstract
Accurate and precise body composition estimates, notably of total body adiposity, are a vital component of in vivo physiology and metabolic studies. The reference against which other body composition approaches are usually validated or calibrated is the family of methods referred to as multicomponent "body density" models. These models quantify three to six components by combining measurements of body mass, body volume, total body water, and osseous mineral mass. Body mass is measured with calibrated scales, volume with underwater weighing or air-displacement plethysmography, total body water with isotope dilution, and osseous mineral mass by dual-energy X-ray absorptiometry. Body density is then calculated for use in model as body mass/volume. Studies over the past decade introduced a new approach to quantifying body volume that relies on dual-energy X-ray absorptiometry measurements, an advance that simplifies multicomponent density model development by eliminating the need for underwater weighing or air-displacement plethysmography systems when these technologies are unavailable and makes these methods more accessible to research and clinical programs. This review critically examines these new dual-energy X-ray approaches for quantifying body volume and density, explores their shortcomings, suggests alternative derivation approaches, and introduces ideas for potential future research studies.
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Affiliation(s)
| | - Brooke Smith
- Pennington Biomedical Research Center, LSU System, Baton Rouge, LA, USA
| | - Michael Wong
- Cancer Center, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Jonathan Bennett
- Cancer Center, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Cara Ebbeling
- New Balance Foundation Obesity Prevention Center, Boston Children’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Julia M. W. Wong
- New Balance Foundation Obesity Prevention Center, Boston Children’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Boyd J. G. Strauss
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- School of Clinical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - John Shepherd
- Cancer Center, University of Hawaii Cancer Center, Honolulu, HI, USA
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23
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Knoop V, Costenoble A, Debain A, Vella Azzopardi R, Vermeiren S, van Laere S, Jansen B, Scafoglieri A, Bautmans I. The interrelationship between grip work, self-perceived fatigue and pre-frailty in community-dwelling octogenarians. Exp Gerontol 2021; 152:111440. [PMID: 34116174 DOI: 10.1016/j.exger.2021.111440] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/19/2021] [Accepted: 06/04/2021] [Indexed: 01/08/2023]
Abstract
INTRODUCTION Low grip work and high feelings of self-perceived fatigue could be an early characteristic of decline in reserve capacity, which comes to full expression as physical frailty in a later stage. When grip work and self-perceived fatigue can be identified as characteristics differentiating between robustness and pre-frailty it might allow to identify pre-frailty earlier. Therefore, this study aimed to investigate whether the combination of grip work and self-perceived fatigue is related to pre-frailty in well-functioning older adults aged 80 and over. METHODS Four-hundred and five community-dwelling older adults aged 80 and over (214 robust and 191 pre-frail) were assessed for muscle endurance (grip Work corrected for body weight (GW_bw)), self-perceived fatigue (MFI-20) and frailty state (Fried Frailty Index, FFI). A Capacity to Perceived Vitality ratio (CPV) was calculated by dividing GW_bw by the MFI-20 scores. ANCOVA analysis (corrected for age and gender) was used to compare robust and pre-frail older adults, and binary logistic regressions were applied to analyze the relationship between CPV and pre-frailty status. RESULTS Pre-frail older adults who scored negative on the exhaustion item of the FFI still showed significantly lower GW (p < 0.001), CPV ratios (p < 0.001) and higher self-perceived fatigue (p < 0.05) compared to the robust ones. The likelihood for pre-frailty related significantly to higher age, being men and lower CPV ratios. In women, every unit increase in CPV ratio decreased the likelihood for pre-frailty by 78% (OR 0.22; 95% CI: 0.11-0.44), for men this effect was less strong (34%, OR 0.66; 95% CI: 0.47-0.93). CONCLUSIONS Pre-frail community-dwelling persons aged 80 years and over without clinical signs of exhaustion on the FFI still experience significantly higher fatigue levels (lower Grip Work, higher self-perceived fatigue and lower CPV levels) compared to robust ones. CPV ratio could therefore be a good tool to identify subclinical fatigue in the context of physical (pre-)frailty.
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Affiliation(s)
- Veerle Knoop
- Gerontology Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium; Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium
| | - Axelle Costenoble
- Gerontology Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium; Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium
| | - Aziz Debain
- Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium; Department of Geriatrics, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, B-1090 Brussels, Belgium
| | - Roberta Vella Azzopardi
- Gerontology Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium; Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium; Department of Geriatrics, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, B-1090 Brussels, Belgium
| | - Sofie Vermeiren
- Gerontology Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium; Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium
| | - Sven van Laere
- Research Group of Biostatistics and Medical Informatics, Department of Public Health (GEWE), Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussel, Belgium
| | - Bart Jansen
- Department of Electronics and Informatics ETRO, Vrije Universiteit Brussel (VUB), Elsene, Belgium; imec, Leuven, Belgium
| | - Aldo Scafoglieri
- Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium; Supporting Clinical Science Department and Research Department of Experimental Anatomy (EXAN), Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Ivan Bautmans
- Gerontology Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium; Frailty in Ageing (FRIA) Research Department, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium; Department of Geriatrics, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, B-1090 Brussels, Belgium.
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24
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Brewer GJ, Blue MNM, Hirsch KR, Saylor HE, Gould LM, Nelson AG, Smith-Ryan AE. Validation of InBody 770 bioelectrical impedance analysis compared to a four-compartment model criterion in young adults. Clin Physiol Funct Imaging 2021; 41:317-325. [PMID: 33752260 DOI: 10.1111/cpf.12700] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 03/15/2021] [Accepted: 03/18/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Multi-frequency bioelectrical impedance analysis (MF-BIA) offers enhanced body composition outcomes in a time-efficient manner. The accuracy of stand-up MF-BIA compared against a four-compartment (4C) criterion lacks evidence. OBJECTIVES To validate a stand-up MF-BIA compared to a 4C criterion for fat mass (FM), fat-free mass (FFM) and body fat percentage (%fat). SUBJECTS/METHODS Eighty-two healthy (32% men) normal-weight (BMI: 18.5-24.9 kg/m2 ) young adults were measured for body composition determined from a stand-up MF-BIA and 4C model. Validity statistics included total error (TE) and standard error of the estimate (SEE) to examine prediction error between methods. RESULTS For the total sample, prediction error was the highest for %fat (TE = 4.2%; SEE = 3.9%) followed by FM (TE = 2.4 kg; SEE = 2.2 kg) and FFM (TE = 2.4 kg; SEE = 2.2 kg). In men, %fat (TE = 2.5%; SEE = 2.2%) and FM (TE = 1.9 kg; SEE = 1.6 kg) were ideal; FFM was similar to FM (TE = 1.9 kg; SEE = 1.6 kg). In women, %fat (TE = 4.7%; SEE = 4.4%) ranged from good to fairly good, and FM was very good to excellent (TE = 2.6 kg; SEE = 2.4 kg); FFM was similar to FM (TE = 2.6 kg; SEE = 2.3 kg). CONCLUSIONS Stand-up MF-BIA may overestimate %fat and FM, and underestimate FFM compared to a 4C model. FM and FFM estimates from MF-BIA demonstrate good agreement to a 4C model and may be a practical measure of body composition in normal-weight adults. The highest error was seen in %fat for both sexes, with greater error in women.
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Affiliation(s)
- Gabrielle J Brewer
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA
| | - Malia N M Blue
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA.,Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC, USA
| | - Katie R Hirsch
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA.,Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC, USA
| | - Hannah E Saylor
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA.,Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC, USA
| | - Lacey M Gould
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA
| | - Alyson G Nelson
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA
| | - Abbie E Smith-Ryan
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, USA.,Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC, USA
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25
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Abstract
Adaptive thermogenesis (AT) has been proposed to be a compensatory response that may resist weight loss (WL) and promote weight regain. This systematic review examined the existence of AT in adults after a period of negative energy balance (EB) with or without a weight stabilisation phase. Studies published until 15 May 2020 were identified from PubMed, Cochrane Library, EMBASE, MEDLINE, SCOPUS and Web of Science. Inclusion criteria included statistically significant WL, observational with follow-up or experimental studies, age > 18y, sample size ≥10 participants, intervention period ≥ 1week, published in English, objective measures of total daily energy expenditure (EE) (TDEE), resting EE (REE) and sleeping EE(SEE). The systematic review was registered at PROSPERO (2020 CRD42020165348). A total of thirty-three studies comprising 2528 participants were included. AT was observed in twenty-seven studies. Twenty-three studies showed significant values for AT for REE (82·8 %), four for TDEE (80·0 %) and two for SEE (100 %). A large heterogeneity in the methods used to quantify AT and between subjects and among studies regarding the magnitude of WL and/or of AT was reported. Well-designed studies reported lower or non-significant values for AT. These findings suggest that although WL may lead to AT in some of the EE components, these values may be small or non-statistically significant when higher-quality methodological designs are used. Furthermore, AT seems to be attenuated, or non-existent, after periods of weight stabilisation/neutral EB. More high-quality studies are warranted not only to disclose the existence of AT but also to understand its clinical implications on weight management outcomes.
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26
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Townsend JR, Hart TL, Haynes JT, Woods CA, Toy AM, Pihera BC, Aziz MA, Zimmerman GA, Jones MD, Vantrease WC, Gonzalez AM. Influence of Dietary Nitrate Supplementation on Physical Performance and Body Composition Following Offseason Training in Division I Athletes. J Diet Suppl 2021; 19:534-549. [PMID: 33754923 DOI: 10.1080/19390211.2021.1900482] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
PURPOSE To determine the effects of dietary nitrate supplementation, in the form of red spinach extract (RSE), on adaptations to offseason training in collegiate athletes. Methods: Sixteen Division I male baseball athletes (20.5 ± 1.7y, 90.4 ± 0.5 kg) enrolled in this study and were randomized into a RSE (n = 8) or placebo (n = 8; PL) group. Athletes completed an 11-week resistance training program during the offseason, which consisted of 2-3 workouts per week of upper and lower-body exercises and baseball-specific training. Athletes consumed a RSE (2 g; 180 mg nitrate) or PL supplement daily for the entire offseason training program. Pre and post-training, all athletes underwent one-repetition maximum (1RM) strength testing for the bench press and completed a Wingate anaerobic cycle test (WAnT). Body composition analysis was completed via a 4-compartment model, as well as muscle thickness (MT) measurement of the rectus femoris (RF) and vastus lateralis (VL) via ultrasonography. Resting heart rate and blood pressure (BP) were also obtained. Separate repeated measures analyses of variance were used to analyze all data. Results: Significant (p ≤ 0.05) main effects for time were observed for improved bench 1RM, fat-free mass, body fat percentage, RF MT, and VL MT. No significant group x time interactions (p > 0.05) were found for any measure of performance, body composition, or cardiovascular health. However, a trend for improved peak power in the WAnT was observed (p = 0.095; η2=0.200). Conclusions: These data suggest that daily RSE supplementation had no effect on performance, body composition, or cardiovascular measures in male Division I baseball players following offseason training.
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Affiliation(s)
| | - Tricia L Hart
- Exercise and Nutrition Science Graduate Program, Lipscomb University, Nashville, TN
| | - James T Haynes
- Exercise and Nutrition Science Graduate Program, Lipscomb University, Nashville, TN
| | - Clint A Woods
- Exercise and Nutrition Science Graduate Program, Lipscomb University, Nashville, TN
| | - Ann M Toy
- Exercise and Nutrition Science Graduate Program, Lipscomb University, Nashville, TN
| | - Bailey C Pihera
- Exercise and Nutrition Science Graduate Program, Lipscomb University, Nashville, TN
| | - Marko A Aziz
- Exercise and Nutrition Science Graduate Program, Lipscomb University, Nashville, TN
| | - Grace A Zimmerman
- Exercise and Nutrition Science Graduate Program, Lipscomb University, Nashville, TN
| | - Megan D Jones
- Exercise and Nutrition Science Graduate Program, Lipscomb University, Nashville, TN
| | - William C Vantrease
- Exercise and Nutrition Science Graduate Program, Lipscomb University, Nashville, TN
| | - Adam M Gonzalez
- Department of Health Professions, Hofstra University, Hempstead, NY
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27
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Buresh R, Kliszczewicz B, Hayes K, Julian J. Steps expressed relative to body fat mass predicts body composition and cardiometabolic risk in adults eating ad libitum. J Sports Med Phys Fitness 2021; 62:65-73. [PMID: 33565754 DOI: 10.23736/s0022-4707.21.12038-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Excess body fatness is a consequence of a chronic energy surplus (energy intake is greater than energy expenditure). Given the serious health consequences of excess body fatness, factors that influence energy balance and body composition are increasingly important to understand. Methods - A total of 34 adults between the ages of 19-40 years made a laboratory visit in which height, weight, body composition, and cardiometabolic risk factors were quantified. Participants wore accelerometers for 21-28 days, then returned to the laboratory for a second body composition assessment. Changes in weight and body composition were used to quantify energy balance, and data derived from accelerometers provided markers of physical activity and sedentariness. Results - Of the markers of physical activity that we measured, daily step counts expressed relative to fat mass was most strongly and consistently associated with body fatness and cardiometabolic risk status. Conclusions - Step counts expressed relative to fat mass were strongly associated with body composition and cardiometabolic risk in adults eating ad libitum. Longitudinal interventional studies are necessary to determine the efficacy of step count prescriptions expressed relative to existing and target body fatness and cardiometabolic risk levels for improving weight management and metabolic outcomes.
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Affiliation(s)
- Robert Buresh
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, GA, USA -
| | - Brian Kliszczewicz
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, GA, USA
| | - Katy Hayes
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, GA, USA
| | - Jennifer Julian
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, GA, USA
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Van Eyck A, Eerens S, Trouet D, Lauwers E, Wouters K, De Winter BY, van der Lee JH, Van Hoeck K, Ledeganck KJ. Body composition monitoring in children and adolescents: reproducibility and reference values. Eur J Pediatr 2021; 180:1721-1732. [PMID: 33481106 PMCID: PMC8105252 DOI: 10.1007/s00431-021-03936-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 01/04/2021] [Accepted: 01/07/2021] [Indexed: 11/29/2022]
Abstract
There is an increasing need for suitable tools to evaluate body composition in paediatrics. The Body Composition Monitor (BCM) shows promise as a method, but reference values in children are lacking. Twenty children were included and measured twice by 4 different raters to asses inter- and intra-rater reproducibility of the BCM. Reliability was assessed using the Bland-Altman method and by calculating intraclass correlation coefficients (ICCs). The intra-rater ICCs were high (≥ 0.97) for all parameters measured by BCM as were the inter-rater ICCs for all parameters (≥ 0.98) except for overhydration (0.76). Consequently, a study was set up in which BCM measurements were performed in 2058 healthy children aged 3-18.5 years. The age- and gender-specific percentile values and reference curves for body composition (BMI, waist circumference, fat mass and lean tissue mass) and fluid status (extracellular and intracellular water and total body water) relative to age were produced using the GAMLSS method for growth curves.Conclusion: A high reproducibility of BCM measurements was found for fat mass, lean tissue mass, extracellular water and total body water. Reference values for these BCM parameters were calculated in over 2000 children and adolescents aged 3 to 18 years. What is Known • The 4-compartment model is regarded as the 'gold standard' of body composition methods, but is inappropriate for regular follow-up or screening of large groups, because of associated limitations. • Body Composition Monitor® is an inexpensive field method that has the potential to be an adequate monitoring tool. What is New • Good reproducibility of BCM measurements in children provides evidence to use the device in longitudinal follow-up, multicentre and comparative studies. • Paediatric reference values relative to age and sex for the various compartments of the body are provided.
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Affiliation(s)
- Annelies Van Eyck
- Laboratory of Experimental Medicine and Pediatrics and member of the Infla-Med Centre of Excellence, University of Antwerp, Wilrijk, Belgium ,Department of Pediatrics, Antwerp University Hospital, Edegem, Belgium
| | - Sofie Eerens
- Department of Pediatrics, Antwerp University Hospital, Edegem, Belgium
| | - Dominique Trouet
- Laboratory of Experimental Medicine and Pediatrics and member of the Infla-Med Centre of Excellence, University of Antwerp, Wilrijk, Belgium ,Department of Pediatrics, Antwerp University Hospital, Edegem, Belgium
| | - Eline Lauwers
- Laboratory of Experimental Medicine and Pediatrics and member of the Infla-Med Centre of Excellence, University of Antwerp, Wilrijk, Belgium
| | - Kristien Wouters
- Clinical Trial Center (CTC), CRC Antwerp, Antwerp University Hospital, Edegem, Belgium ,Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Benedicte Y. De Winter
- Laboratory of Experimental Medicine and Pediatrics and member of the Infla-Med Centre of Excellence, University of Antwerp, Wilrijk, Belgium ,Department of Gastroenterology and Hepatology, Antwerp University Hospital, Edegem, Belgium
| | - Johanna H. van der Lee
- Emma Children’s Hospital, Amsterdam UMC, University of Amsterdam, Pediatric Clinical Research Office, AMC, Amsterdam, The Netherlands
| | - Koen Van Hoeck
- Department of Pediatrics, Antwerp University Hospital, Edegem, Belgium
| | - Kristien J. Ledeganck
- Laboratory of Experimental Medicine and Pediatrics and member of the Infla-Med Centre of Excellence, University of Antwerp, Wilrijk, Belgium ,University of Antwerp, Universiteitsplein 1, T3.34, 2610 Antwerp, Belgium
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Cabre HE, Blue MNM, Hirsch KR, Brewer GJ, Gould LM, Nelson AG, Smith-Ryan AE. Validity of a 3-dimensional body scanner: comparison against a 4-compartment model and dual energy X-ray absorptiometry. Appl Physiol Nutr Metab 2020; 46:644-650. [PMID: 33320733 DOI: 10.1139/apnm-2020-0744] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Three-dimensional (3D) body scanner technology for body composition assessment is expanding. The aim of this study was to assess the validity of a 3D body scanner. One hundred and ninety-four participants (43% male; age: 23.52 ± 5.47 years; body mass index: 23.98 ± 3.24 kg·m-2) were measured using 3D scanner and a 4-compartment (4C) model utilizing dual-energy X-ray absorptiometry (DXA), air displacement plethysmography, and bioelectrical impedance spectroscopy. Dependent t tests, validity statistics including total error (TE), standard error of the estimate, constant error, and Bland-Altman analyses were utilized. Compared with 4C, 3D scanner fat mass (FM) [mean difference (MD; 3D-4C): 2.66 kg ± 3.32 kg] and percent body fat (%BF) (MD: 4.13% ± 5.36%) were significantly (p < 0.001) over-predicted; fat free mass (FFM) was significantly underpredicted (MD: -3.15 kg ± 4.75 kg; p < 0.001). 3D demonstrated poor validity indicated by TE (%BF: 5.61%; FM: 4.50 kg; FFM: 5.69 kg). In contrast, there were no significant differences between 3D and DXA measures; 3D scanner demonstrated acceptable measurement for %BF (TE: 4.25%), FM (TE: 2.92 kg), and lean mass (TE: 3.86 kg). Compared with the 4C criterion, high TE values indicated 3D estimates were not valid. In contrast, 3D estimates produced acceptable measurement agreement when compared with DXA; an average overestimation of %BF by 5.31% (vs. 4C) and 4.20% (vs. DXA) may be expected. Novelty: 3D body composition estimates are not valid compared with the 4-C criterion model. 3D estimates appeared to be more valid in females, compared with males. When compared with DXA, 3D estimates were acceptable.
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Affiliation(s)
- Hannah E Cabre
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC 27599, USA.,Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Malia N M Blue
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC 27599, USA.,Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Katie R Hirsch
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC 27599, USA.,Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Gabrielle J Brewer
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Lacey M Gould
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Alyson G Nelson
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Abbie E Smith-Ryan
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC 27599, USA.,Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC 27599, USA
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Sadeghi H, Ashraf A, Zeynali N, Ebrahimi B, A Jehu D. Balance and functional mobility predict low bone mineral density among postmenopausal women undergoing recent menopause with osteoporosis, osteopenia, and normal bone mineral density: A cross-sectional study. Geriatr Nurs 2020; 42:33-36. [PMID: 33221555 DOI: 10.1016/j.gerinurse.2020.10.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 10/22/2020] [Accepted: 10/27/2020] [Indexed: 11/17/2022]
Abstract
The purpose of this study was to determine whether balance and functional mobility independently predict bone mineral density (BMD) in postmenopausal women. BMD at the hip and spine was measured with dual-energy x-ray absorptiometry (DEXA). Participants were assigned into groups (i.e., osteoporosis: n=20; osteopenia: n=20; normal BMD: n=20) according to DEXA T-scores. Participants performed the single leg stance test (SLS), timed-up-and-go (TUG), and 6-meter walking test. An ordinal logistic regression was performed to determine whether the SLS, TUG, 6MWT independently predict BMD, while accounting for age, age at menopause, and body mass index. Three factors predicted low BMD: (1) less time to hold the SLS (odds ratio (OR): 0.50); (2) longer TUG time (OR: 2.85); and (3) older Age (OR: 1.31). Women with recent menopause diagnosed with osteoporosis are at a high-risk for fracture; incorporating the SLS and TUG into risk assessments may enable prompt and targeted intervention.
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Affiliation(s)
- Hassan Sadeghi
- Department of Biomechanics and Sports Injuries, Faculty of Physical Education and Sports Sciences, Kharazmi University, Tehran, Iran
| | - Alireza Ashraf
- Shiraz Geriatric Research Center, Shiraz University of Medical Sciences, Shiraz, Iran; Department of Physical Medicine and Rehabilitation, Shiraz University of Medical Sciences, Shiraz, Iran.
| | - Neda Zeynali
- Department of Physical Medicine and Rehabilitation, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Bahareh Ebrahimi
- Shiraz Geriatric Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Deborah A Jehu
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Hip Health and Mobility, University of British Columbia, Vancouver, British Columbia, Canada; Department of Physical Therapy, Aging, Mobility and Cognitive Neuroscience Laboratory, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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31
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Smith-Ryan AE, Blue MNM, Hirsch KR, Brewer GJ. Application of a dual energy x-ray absorptiometry derived 4-compartment body composition model: Non-discriminatory against leanness and sex. Clin Nutr ESPEN 2020; 40:401-405. [PMID: 33183569 DOI: 10.1016/j.clnesp.2020.09.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 09/22/2020] [Accepted: 09/25/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND & AIMS Body composition assessment has large variability. A dual-energy x-ray absorptiometry (DXA) derived four compartment (4C) method has been developed as an accurate and reliable method for assessing body composition in overweight/obese adults. This investigation was aimed at understanding the validity of the DXA-derived 4C equation for use in normal weight individuals, stratified by sex, and with varied levels of lean mass. Values were also compared against DXA alone. METHODS 78 men and women (68% female; Mean ± SD; Age: 19.2 ± 1.2 yrs; Ht: 168.8 ± 9.1 cm; Wt: 62.8 ± kg) completed a traditional 4C body composition reference assessment. Body composition was also assessed using a DXA-4C model. Validity was evaluated from total error (TE), constant error, and standard error of the estimate (SEE). Proportional bias was identified with Bland Altman plots. RESULTS Although significantly different (p < 0.05) the DXA-4C model produced ideal TE and SEE compared to the 4C criterion for all body composition outcomes of fat mass (TE: 2.1 kg; SEE: 1.9 kg), lean mass (TE: 2.1 kg; SEE: 1.8 kg), and percent body fat (TE: 3.6%; SEE: 3.4%). Validity results did not differ for men vs. women. DXA-4C estimates were slightly better in individuals with higher lean mass. DXA alone resulted in significantly greater error than DXA-4C (p < 0.05). CONCLUSION Body composition assessed from DXA-4C is an accurate approach, particularly in those with high levels of lean mass. This model appears to be more accurate than DXA alone.
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Affiliation(s)
- Abbie E Smith-Ryan
- Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Gillsings School of Public Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Malia N M Blue
- Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Katie R Hirsch
- Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Human Movement Science Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gabrielle J Brewer
- Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Five-component model validation of reference, laboratory and field methods of body composition assessment. Br J Nutr 2020; 125:1246-1259. [PMID: 32921319 DOI: 10.1017/s0007114520003578] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
This study reports the validity of body fat percentage (BF%) estimates from several commonly employed techniques as compared with a five-component (5C) model criterion. Healthy adults (n 170) were assessed by dual-energy X-ray absorptiometry (DXA), air displacement plethysmography (ADP), multiple bioimpedance techniques and optical scanning. Output was also used to produce a criterion 5C model, multiple variants of three- and four-component models (3C; 4C) and anthropometry-based BF% estimates. Linear regression, Bland-Altman analysis and equivalence testing were performed alongside evaluation of the constant error (CE), total error (TE), se of the estimate (SEE) and coefficient of determination (R2). The major findings were (1) differences between 5C, 4C and 3C models utilising the same body volume (BV) and total body water (TBW) estimates are negligible (CE ≤ 0·2 %; SEE < 0·5 %; TE ≤ 0·5 %; R2 1·00; 95 % limits of agreement (LOA) ≤ 0·9 %); (2) moderate errors from alternate TBW or BV estimates in multi-component models were observed (CE ≤ 1·3 %; SEE ≤ 2·1 %; TE ≤ 2·2 %; R2 ≥ 0·95; 95 % LOA ≤ 4·2 %); (3) small differences between alternate DXA (i.e. tissue v. region) and ADP (i.e. Siri v. Brozek equations) estimates were observed, and both techniques generally performed well (CE < 3·0 %; SEE ≤ 2·3 %; TE ≤ 3·6 %; R2 ≥ 0·88; 95 % LOA ≤ 4·8 %); (4) bioimpedance technologies performed well but exhibited larger individual-level errors (CE < 1·0 %; SEE ≤ 3·1 %; TE ≤ 3·3 %; R2 ≥ 0·94; 95 % LOA ≤ 6·2 %) and (5) anthropometric equations generally performed poorly (CE 0·6- 5·7 %; SEE ≤ 5·1 %; TE ≤ 7·4 %; R2 ≥ 0·67; 95 % LOA ≤ 10·6 %). Collectively, the data presented in this manuscript can aid researchers and clinicians in selecting an appropriate body composition assessment method and understanding the associated errors when compared with a reference multi-component model.
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Comparison of bioimpedance spectroscopy and dual energy X-ray absorptiometry for assessing body composition changes in obese children during weight loss. Eur J Clin Nutr 2020; 75:73-84. [PMID: 32917962 DOI: 10.1038/s41430-020-00738-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 08/04/2020] [Accepted: 08/24/2020] [Indexed: 11/08/2022]
Abstract
BACKGROUND Obesity and age influence the reliability of dual energy X-ray absorptiometry scanning (DEXA) and bioimpedance spectroscopy (BIS). Both are used in clinical settings, but have not been compared for measurements in obese children. We compared DEXA and BIS for evaluating body composition and inherent changes in obese children before and after a 10-month weight loss programme. METHODS DEXA and BIS were used to evaluate 130 patients at baseline and 75 at follow-up. We tested agreement between the two techniques using Bland-Altman plots and proportional bias using Passing-Bablok regressions. RESULTS The Bland-Altman plots showed wide agreement limits before and after weight loss and when monitoring longitudinal changes. At baseline, the Passing-Bablok regressions revealed a proportional bias for all body compartments. After significant weight loss no proportional bias was found for fat mass and percentage, although BIS systematically underestimated fat mass by 2.9 kg. Longitudinally, no proportional bias was found in the measured changes of absolute fat, fat-free mass and fat-free percentage between both methods, although BIS systematically underestimated fat and fat-free mass by 2.6 and 0.7 kg, respectively. CONCLUSION While BIS and DEXA are not interchangeable at baseline, the agreement between the two improved after significant weight loss. Proportional changes in fat mass, fat-free mass and fat-free percentage were similar for both techniques. BIS is a viable alternative to DEXA for future paediatric obesity studies measuring treatment effect at group levels, but is not superior to DEXA and cannot be used for monitoring individual changes due to wide limits of agreement.
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Rodrigues JAL, Stenvold D, Almeida ML, Sobrinho ACS, Rodrigues GS, Júnior CRB. Cardiometabolic risk factors associated with educational level in older people: comparison between Norway and Brazil. J Public Health (Oxf) 2020; 43:867-875. [PMID: 32888032 DOI: 10.1093/pubmed/fdaa144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 06/19/2020] [Accepted: 08/03/2020] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND The non-communicable diseases are the major causes of death both worldwide and in high-income countries such as Norway. Understanding whether policy programs affect the health of older adults, especially considering different realities, is crucial. We aimed to analyse cardiometabolic risk factors associated with educational level in elderly people from Norway and Brazil. METHODS A total of 555 elderly people recruited from Trondheim, Norway (n = 310, age 70.7 ± 0.8 years, body mass index (BMI) 26.2 ± 3.9 kg/m2) and from Ribeirao Preto, Brazil (n = 245, age 64.1 ± 8.1 years, BMI 28.2 ± 5.5 kg/m2). All analyses were adjusted for age and sex, considering country as an independent variable. The significance level considered was P < 0.05. RESULTS Brazilian people presented a higher incidence of overweight and higher waist circumference (WC) compared to Norwegian (28.2 ± 5.5 kg/m2 and 97.0 ± 14.7 cm versus 26.4 ± 3.9 kg/m2 and 92.1 ± 11.2 cm, respectively). When classified by education level, Brazilians presented higher values for BMI, WC and triglycerides (TG) than Norwegians with the same level of education (incomplete higher education), while Norwegians presented higher values for systolic blood pressure (SBP), cholesterol total (CT), high-density lipoprotein (HDL)-cholesterol, LDL-cholesterol and handgrip strength. CONCLUSIONS Both nationalities presented important cardiometabolic risk factors. However, when considering a low level of education, the Brazilian elderly people presented more cardiometabolic risk factors than Norwegians.
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Affiliation(s)
- J A L Rodrigues
- School of Nursing of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, SP 14040-907, Brazil
| | - D Stenvold
- K.G. Jebsen Center of Exercise in Medicine at Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim 8905, 7491, Norway
| | - M L Almeida
- School of Nursing of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, SP 14040-907, Brazil
| | - A C S Sobrinho
- School of Physical Education and Sport of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, SP 14040-907, Brazil
| | - G S Rodrigues
- School of Physical Education and Sport of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, SP 14040-907, Brazil
| | - C R Bueno Júnior
- School of Nursing of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, SP 14040-907, Brazil.,School of Physical Education and Sport of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, SP 14040-907, Brazil
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Tinsley GM, Smith-Ryan AE, Kim Y, Blue MNM, Nickerson BS, Stratton MT, Harty PS. Fat-free mass characteristics vary based on sex, race, and weight status in US adults. Nutr Res 2020; 81:58-70. [PMID: 32882467 DOI: 10.1016/j.nutres.2020.07.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 07/06/2020] [Indexed: 11/28/2022]
Abstract
Common body composition estimation techniques necessitate assumptions of uniform fat-free mass (FFM) characteristics, although variation due to sex, race, and body characteristics may occur. National Health and Nutrition Examination Survey data from 1999 to 2004, during which paired dual-energy x-ray absorptiometry (DXA) and bioimpedance spectroscopy assessments were performed, were used to estimate FFM characteristics in a sample of 4619 US adults. Calculated FFM characteristics included the density and water, bone mineral, and residual content of FFM. A rapid 4-component model was also produced using DXA and bioimpedance spectroscopy data. Study variables were compared across sex, race/ethnicity, body mass index (BMI), and age categories using multiple pairwise comparisons. A general linear model was used to estimate body composition after controlling for other variables. Statistical analyses accounted for 6-year sampling weights and complex sampling design of the National Health and Nutrition Examination Survey and were based on 5 multiply imputed datasets. Differences in FFM characteristics across sex, race, and BMI were observed, with notable dissimilarities between men and women for all outcome variables. In racial/ethnic comparisons, non-Hispanic blacks most commonly presented distinct FFM characteristics relative to other groups, including greater FFM density and proportion of bone mineral. Body composition errors between DXA and the 4-component model were significantly influenced by sex, age, race, and BMI. In conclusion, FFM characteristics, which are often assumed in body composition estimation methods, vary due to sex, race/ethnicity, and weight status. The variation of FFM characteristics in diverse populations should be considered when body composition is evaluated.
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Affiliation(s)
- Grant M Tinsley
- Energy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University. 3204 Main St, Lubbock, TX 79409, USA.
| | - Abbie E Smith-Ryan
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina. 209 Fetzer Hall, CB# 8700, Chapel Hill, NC 27599, USA
| | - Youngdeok Kim
- Department of Kinesiology & Health Sciences, Virginia Commonwealth University. 1020 W Grace St, Richmond, VA 23284, USA
| | - Malia N M Blue
- Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina. 209 Fetzer Hall, CB# 8700, Chapel Hill, NC 27599, USA
| | - Brett S Nickerson
- College of Nursing and Health Sciences, Texas A&M International University, 5201 University Blvd, Laredo, TX 78041, USA
| | - Matthew T Stratton
- Energy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University. 3204 Main St, Lubbock, TX 79409, USA
| | - Patrick S Harty
- Energy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University. 3204 Main St, Lubbock, TX 79409, USA
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Ranasinghe P, Jayawardena R, Gamage N, Pujitha Wickramasinghe V, Hills AP. The range of non-traditional anthropometric parameters to define obesity and obesity-related disease in children: a systematic review. Eur J Clin Nutr 2020; 75:373-384. [PMID: 32801306 DOI: 10.1038/s41430-020-00715-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 07/08/2020] [Accepted: 08/04/2020] [Indexed: 01/05/2023]
Abstract
Obesity is defined as an abnormal/excessive accumulation of body fat, associated with health consequences. Although overall obesity does confer a significant threat to the health of individuals, the distribution of body fat, especially abdominal/central obesity is of greater importance. For practical reasons, proxy anthropometric measurements have been developed to identify central obesity, however, major limitations are noted in these traditional measurements. The present study aims to evaluate the literature, to identify and describe non-traditional anthropometric measurements of overweight and obesity in children. The current systematic review was conducted in accordance with the PRISMA guidelines, and the search was undertaken in the PubMed® database, using MeSH (Medical Subject Headings) terms. Data extracted from each study were: (a) details of the study, (b) anthropometric parameter(s) evaluated in the study and its details, (c) study methods, (d) objectives of the study and/or comparisons, and (e) main findings/conclusions of the study. The search yielded a total of 3697 articles, of which 31 studies were deemed eligible to be included. The literature search identified 13 non-traditional anthropometric parameters. Data on non-traditional anthropometric parameters were derived from 24 countries. Majority were descriptive cross-sectional studies (n = 29), while sample size varied from 65 to 23,043. Non-traditional anthropometric parameters showed variable correlation with obesity and/or related metabolic risk factors. Some parameters involved complex calculations, while others were based on a single anthropometric measurement or derived from traditional measures. Most studies lacked comparison with a 'gold standard' assessment of body fat, hence further research is required to determine their accuracy and precision.
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Affiliation(s)
- Priyanga Ranasinghe
- Department of Pharmacology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
| | - Ranil Jayawardena
- Department of Physiology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.,Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Nishadi Gamage
- Department of Pharmacology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | | | - Andrew P Hills
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Newnham Drive, Launceston, TAS, Australia
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Barakat C, Pearson J, Escalante G, Campbell B, De Souza EO. Body Recomposition: Can Trained Individuals Build Muscle and Lose Fat at the Same Time? Strength Cond J 2020. [DOI: 10.1519/ssc.0000000000000584] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Graybeal AJ, Moore ML, Cruz MR, Tinsley GM. Body Composition Assessment in Male and Female Bodybuilders: A 4-Compartment Model Comparison of Dual-Energy X-Ray Absorptiometry and Impedance-Based Devices. J Strength Cond Res 2020; 34:1676-1689. [DOI: 10.1519/jsc.0000000000002831] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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Nickerson BS, Fedewa MV, Cicone Z, Esco MR. The relative accuracy of skinfolds compared to four-compartment estimates of body composition. Clin Nutr 2020; 39:1112-1116. [DOI: 10.1016/j.clnu.2019.04.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2018] [Revised: 03/12/2019] [Accepted: 04/15/2019] [Indexed: 11/25/2022]
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Tinsley GM, Moore ML. Body fat gain and loss differentially influence validity of dual-energy x-ray absorptiometry and multifrequency bioelectrical impedance analysis during simultaneous fat-free mass accretion. Nutr Res 2020; 75:44-55. [DOI: 10.1016/j.nutres.2019.12.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 12/09/2019] [Accepted: 12/11/2019] [Indexed: 01/10/2023]
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Development of a dual-energy X-ray absorptiometry-derived body volume equation in Hispanic adults for administering a four-compartment model. Br J Nutr 2020; 123:1373-1381. [DOI: 10.1017/s0007114520000598] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
AbstractThe purpose of the present study was: (1) to develop a new dual-energy X-ray absorptiometry (DXA)-derived body volume (BV) equation with the GE-Lunar prodigy while utilising underwater weighing (UWW) as a criterion and (2) to cross-validate the novel DXA-derived BV equation (4C-DXANickerson), Wilson DXA-derived BV equation (4C-DXAWilson) and air displacement plethysmography (ADP)-derived BV (4C-ADP) in Hispanic adults. A total of 191 Hispanic adults (18–45 years) participated in the present study. The development sample consisted of 120 females and males (50 % females), whereas the cross-validation sample comprised of forty-one females and thirty males (n 71). Criterion body fat percentage (BF %) and fat-free mass (FFM) were determined using a four-compartment (4C) model with UWW as a criterion for BV (4C-UWW). 4C-DXANickerson, 4C-DXAWilson and 4C-ADP were compared against 4C-UWW in the cross-validation sample. 4C-DXANickerson, 4C-DXAWilson and 4C-ADP all produced similar validity statistics when compared with 4C-UWW in Hispanic males (all P > 0·05). 4C-DXANickerson also yielded similar BF % and FFM values as 4C-UWW when evaluating the mean differences (constant error (CE)) in Hispanic females (CE = –0·79 % and 0·38 kg; P = 0·060 and 0·174, respectively). However, 4C-DXAWilson produced significantly different BF % and FFM values (CE = 3·22 % and –2·20 kg, respectively; both P < 0·001). Additionally, 4C-DXAWilson yielded significant proportional bias when estimating BF % (P < 0·001), whereas 4C-ADP produced significant proportional bias for BF % and FFM (both P < 0·05) when evaluated in Hispanic females. The present study findings demonstrate that 4C-DXANickerson is a valid measure of BV in Hispanics and is recommended for use in clinics, where DXA is the main body composition assessment technique.
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Digital anthropometry via three-dimensional optical scanning: evaluation of four commercially available systems. Eur J Clin Nutr 2019; 74:1054-1064. [PMID: 31685968 DOI: 10.1038/s41430-019-0526-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 10/20/2019] [Accepted: 10/22/2019] [Indexed: 12/28/2022]
Abstract
BACKGROUND Digital anthropometry is increasingly accessible due to commercial availability of three-dimensional optical scanners (3DO). METHODS One hundred and seventy-nine participants were assessed by four 3DO systems (FIT3D®, Size Stream®, Styku®, and Naked Labs®) in duplicate, air displacement plethysmography (ADP), and dual-energy x-ray absorptiometry (DXA). Test-retest precision was evaluated, and validity of total and regional volumes was established. RESULTS All scanners produced precise estimates, with root mean square coefficient of variation (RMS-%CV) of 1.1-1.3% when averaged across circumferences and 1.9-2.3% when averaged across volumes. Precision for circumferences generally decreased in the order of: hip, waist and thigh, chest, neck, and arms. Precision for volumes generally decreased in the order of: total body volume (BV), torso, legs, and arms. Total BV was significantly underestimated by Styku® (constant error [CE]: -10.1 L; root mean square error [RMSE]: 10.5 L) and overestimated by Size Stream® (CE: 8.0 L; RMSE: 8.3 L). Total BV did not differ between ADP and FIT3D® (CE: -3.9 L; RMSE: 4.2 L) or DXA BV equations (CE: 0-1.4 L; RMSE: 0.7-1.5 L). Torso volume was overestimated and leg and arm volumes were underestimated by all 3DO. No total or regional 3DO volume estimates exhibited equivalence with reference methods using 5% equivalence regions, and proportional bias of varying magnitudes was observed. CONCLUSIONS All 3DO produced precise anthropometric estimates, although variability in specific precision estimates was observed. 3DO BV estimates did not exhibit equivalence with reference methods. Conversely, DXA-derived total BV exhibited superior validity and equivalence with ADP.
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Brewer GJ, Blue MN, Hirsch KR, Peterjohn AM, Smith-Ryan AE. Appendicular Body Composition Analysis: Validity of Bioelectrical Impedance Analysis Compared With Dual-Energy X-Ray Absorptiometry in Division I College Athletes. J Strength Cond Res 2019; 33:2920-2925. [DOI: 10.1519/jsc.0000000000003374] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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Hood KM, Marr C, Kirk-Sorrow J, Farmer J, Lee CM, Kern M, Bagley JR. Validity and reliability of a Wi-Fi smart scale to estimate body composition. HEALTH AND TECHNOLOGY 2019. [DOI: 10.1007/s12553-019-00359-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Evaluation of appendicular lean mass using bio impedance in persons aged 80+: A new equation based on the BUTTERFLY-study. Clin Nutr 2019; 38:1756-1764. [DOI: 10.1016/j.clnu.2018.07.029] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 07/05/2018] [Accepted: 07/24/2018] [Indexed: 01/11/2023]
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Tinsley GM, Trexler ET, Smith-Ryan AE, Paoli A, Graybeal AJ, Campbell BI, Schoenfeld BJ. Changes in Body Composition and Neuromuscular Performance Through Preparation, 2 Competitions, and a Recovery Period in an Experienced Female Physique Athlete. J Strength Cond Res 2019; 33:1823-1839. [PMID: 30036283 DOI: 10.1519/jsc.0000000000002758] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Tinsley, GM, Trexler, ET, Smith-Ryan, AE, Paoli, A, Graybeal, AJ, Campbell, BI, and Schoenfeld, BJ. Changes in body composition and neuromuscular performance through preparation, two competitions, and a recovery period in an experienced female physique athlete. J Strength Cond Res 33(7): 1823-1839, 2019-This prospective case study evaluated an experienced female figure competitor during contest preparation, 2 competitions, and a recovery period. Twelve laboratory sessions were conducted over 8 months. At each visit, body composition was assessed by 4-compartment model, resting metabolic rate (RMR) by indirect calorimetry, and neuromuscular performance by peak force and rate of force development (RFD) on a mechanized squat device. Caloric intake ranged from 965 to 1,610 kcal·d (16.1-24.8 kcal·kg·BM; 18.2-31.1 kcal·kg·FFM), with varying macronutrient intakes (CHO: 0.3-4.8 g·kg; PRO: 1.7-3.0 g·kg; and FAT: 0.2-0.5 g·kg). Body fat was reduced from 20.3 to 12.2% before the first competition and declined to 11.6% before the second competition. Fat-free mass increased by 2.1% before the first competition and peaked at 4.6% above baseline in the recovery period. Resting metabolic rate decreased from 1,345 kcal·d at baseline to a low value of 1,119 kcal·d between competitions. By the end of recovery, RMR increased to 1,435 kcal·d. Concentric and eccentric peak forces declined by up to 19% before the first competition, experienced perturbations in the inter-competition and recovery periods, and remained 5-8% below baseline at study termination. Similarly, RFD decreased by up to 57% before the first competition, was partially recovered, but remained 39% lower than baseline at study termination. Despite favorable body composition changes, neuromuscular performance was impaired during and after the competitive season in an experienced female physique competitor.
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Affiliation(s)
- Grant M Tinsley
- Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, Texas
| | - Eric T Trexler
- Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, North Carolina
| | - Abbie E Smith-Ryan
- Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, North Carolina
| | - Antonio Paoli
- Department of Biomedical Sciences, University of Padova, Padova, Italy
| | - Austin J Graybeal
- Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, Texas
| | - Bill I Campbell
- College of Education, University of South Florida, Tampa, Florida
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NICKERSON BRETTS, TINSLEY GRANTM, ESCO MICHAELR. Validity of Field and Laboratory Three-Compartment Models in Healthy Adults. Med Sci Sports Exerc 2019; 51:1032-1039. [DOI: 10.1249/mss.0000000000001876] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Kutáč P, Bunc V, Sigmund M. Whole-body dual-energy X-ray absorptiometry demonstrates better reliability than segmental body composition analysis in college-aged students. PLoS One 2019; 14:e0215599. [PMID: 31009495 PMCID: PMC6476531 DOI: 10.1371/journal.pone.0215599] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 04/04/2019] [Indexed: 01/17/2023] Open
Abstract
Dual-energy X-ray absorptiometry (DXA) is rapidly becoming more accessible and popular as a technique to monitor body composition. The reliability of DXA has been examined extensively using a number of different methodological approaches. This study sets up to investigate the accuracy of measuring the parameters of body composition (BC) by means of the whole-body and the segmental DXA method analysis with the typical error of measurement (TEM) that allows for expressing the error in the units of measure. The research was implemented in a group of 63 participants, all of whom were university students. Thirty-eight males (22.6±2.9 years, average body mass 77.5±8.4 kg) and 25 females (21.4±2.0 years, average body mass 58.6±7.2 kg) were recruited. The measured parameters included body mass (BM), fat-free mass (FFM), body fat (BF), bone mineral content (BMC), bone mineral density (BMD). For the whole-body analysis, the determined TEM was: BM at the level of 0.12 kg in females and 0.29 kg in males; BF 0.25kg and 0.44% females, 0.52 kg and 0.66% males; FFM 0.24 kg females and 0.42 kg males; BMC 0.02 kg females and males; BMD 0.01g/cm2 females and males. The TEM values in the segmental analysis were: BF within the range of 0.04-0.28 kg and 0.68-1.20% in females, 0.10-0.36 kg and 0.72-1.94% in males; FFM 0.08-0.41 kg females and 0.17-0.86 males, BMC 0.00-0.02 kg females and 0.01-0.02 kg males in relation to the body segment (upper limb, trunk, lower limb). The BMD value was at the level of 0.01-0.02g/cm2. The study results showed high reliability in measuring body composition parameters using the DXA method. The whole-body analysis showed a higher accuracy of measurement than the segmental. Only the changes that are greater than the TEM, or the upper bound (95%) of the confidence interval of the measurement can be considered demonstrable when interpreting repeated measurements.
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Affiliation(s)
- Petr Kutáč
- Human Motion Diagnostics Center, University of Ostrava, Ostrava, Czech Republic
| | - Václav Bunc
- Faculty of Physical Education and Sport, Charles University, Praha, Czech Republic
| | - Martin Sigmund
- Application Centre BALUO, Faculty of Physical Culture, Palacký University, Olomouc, Czech Republic
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Smith-Ryan AE, Mock MG, Trexler ET, Hirsch KR, Blue MNM. Influence of a multistrain probiotic on body composition and mood in female occupational shift workers. Appl Physiol Nutr Metab 2018; 44:765-773. [PMID: 30566363 DOI: 10.1139/apnm-2018-0645] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
This study sought to investigate the effects of a multistrain probiotic on body composition, regional adiposity, and a series of associated metabolic health outcomes. Female health care workers employed on a rotating-shift schedule (n = 41) completed baseline anthropometric assessments; a fasted blood draw; questionnaires to assess anxiety, depression (Hospital Anxiety and Depression Scale), and fatigue (Chalder Fatigue Survey); and an exercise fatigue test. Identical post-tests occurred following 6 weeks of daily supplementation with placebo (PLA) or probiotics (2.5 × 109 CFU/g) containing 9 bacterial strains (PRO; Ecologic Barrier) combined with a prebiotic carrier matrix. PRO attenuated fat mass increases (change (Δ), 0.14 kg; confidence interval (CI) -0.46 to 0.75 kg) compared with PLA (Δ, 0.79 kg; CI 0.03-1.54 kg), whereas modest reductions in visceral adiposity resulted for both PRO and PLA. Metabolic biomarkers (total cholesterol, high-density lipoprotein, glucose, adiponectin, C-reactive protein, interleukin-6, leptin) were not influenced by either treatment (p > 0.05). Nonsignificant, but potentially clinically relevant, improvements in anxiety (Δ, -2.3 ± 2.63) and fatigue (Δ, -4.8 ± 5.5) were observed with PRO; exercise performance was unaffected. Results indicate a potential protective effect of probiotics against fat mass gain. Probiotics may alleviate anxiety and fatigue in shift-working females.
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Affiliation(s)
- Abbie E Smith-Ryan
- a Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC 27599, USA.,b Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Meredith G Mock
- a Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC 27599, USA
| | - Eric T Trexler
- a Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC 27599, USA.,b Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Katie R Hirsch
- a Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC 27599, USA.,b Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Malia N M Blue
- a Applied Physiology Laboratory, Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC 27599, USA.,b Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC 27599, USA
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McLester CN, Nickerson BS, Kliszczewicz BM, Hicks CS, Williamson CM, Bechke EE, McLester JR. Validity of DXA body volume equations in a four-compartment model for adults with varying body mass index and waist circumference classifications. PLoS One 2018; 13:e0206866. [PMID: 30395588 PMCID: PMC6218073 DOI: 10.1371/journal.pone.0206866] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 10/19/2018] [Indexed: 12/04/2022] Open
Abstract
The purpose of this investigation was to determine the validity of 4-compartment (4C) model body fat percent (BF%) estimates when using dual energy x-ray absorptiometry (DXA) derived body volume (BV) equations (4C-DXA1 and 4C-DXA2) in adults with varying body mass index (BMI) and waist circumference (WC) classifications. Each model was compared to a criterion 4C model with air-displacement plethysmography (ADP) generated BV (4C-ADP). Participants were categorized as normal weight (n = 40; NW = BMI<25.0kg/m2); overweight (n = 40; OWBMI = BMI≥25.0 kg/m2); and overweight with at-risk WC (n = 35; OWBMI+WC = BMI≥25.0 kg/m2 and WC≥88.0cm for women and 102.0cm for men). 4C-DXA1 produced lower BF% than that derived using the 4C-ADP in NW (CE = -3.0%; p<0.001) while 4C-DXA2 was significantly higher (CE = 4.8%; p<0.001). The SEE and 95% limits of agreement (LOA) were lower for 4C-DXA2 (1.24% and ±2.5%, respectively) than 4C-DXA1 (2.59% and ±5.0%, respectively) and proportional bias was present for both (p<0.05). 4C-DXA1 BF% was not significant in OWBMI (CE = -0.5%; p = 0.112) whereas 4C-DXA2 was higher (CE = 4.5%; p<0.001). The SEE and 95% LOA were lower for 4C-DXA2 (1.20% and ±2.9%, respectively) than 4C-DXA1 (1.92% and ±3.9%, respectively) in OWBMI. Proportional bias was present for 4C-DXA1 (p = 0.007), but not 4C-DXA2 (p = 0.832). 4C-DXA1 and 4C-DXA2 produced significantly higher BF% in OWBMI+WC (CE = 2.2 and 2.3%, respectively; both p<0.001). The SEE and 95% LOA remained lower for 4C-DXA2 (1.15% and ±2.5%, respectively) than 4C-DXA1 (1.84% and ±3.8%, respectively). There was proportional bias for 4C-DXA2 (p = 0.020), but not 4C-DXA1 (p = 0.183) in OWBMI+WC. Only one prediction model (i.e., 4C-DXA1 in OWBMI+WC) revealed valid estimates of BF%. Practitioners are encouraged to use criteria for both BMI and WC when utilizing DXA-derived BV in 4C-models for normal and overweight populations.
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Affiliation(s)
- Cherilyn N. McLester
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, Georgia, United States of America
- * E-mail:
| | - Brett S. Nickerson
- College of Nursing and Health Sciences, Texas A&M International University, Laredo, Texas, United States of America
| | - Brian M. Kliszczewicz
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, Georgia, United States of America
| | - Courtenay S. Hicks
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, Georgia, United States of America
| | - Cassie M. Williamson
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, Georgia, United States of America
| | - Emily E. Bechke
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, Georgia, United States of America
| | - John R. McLester
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, Georgia, United States of America
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