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Marini E, Stagi S, Cabras S, Comandini O, Ssensamba JT, Fewtrell M, Busert-Sebela L, Saville NM, Earthman CP, Silva AM, Wells JCK. Associations of bioelectrical impedance and anthropometric variables among populations and within the full spectrum of malnutrition. Nutrition 2024; 127:112550. [PMID: 39236522 DOI: 10.1016/j.nut.2024.112550] [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] [Received: 04/17/2024] [Revised: 07/04/2024] [Accepted: 07/28/2024] [Indexed: 09/07/2024]
Abstract
OBJECTIVES The aim of this study was to evaluate body composition variability assessed by bioimpedance in relation to nutritional status assessed by anthropometry in children and adolescents living in countries characterized by contrasting nutritional conditions. METHODS The sample was comprised of 8614 children (4245 males; 4369 females), aged 3 to 19 years, from Nepal (477 children), Uganda (488 children and adolescents), UK (297 children and adolescents) and US (7352 children and adolescents). Height-for-age (HAZ) and body mass index-for-age (BAZ) z-scores were calculated according to WHO growth references. Specific bioelectrical impedance vector analysis (BIVA) was used to evaluate body composition variability. In each population sample, the relationship of HAZ and BAZ with bioelectrical outcomes was analysed by confidence ellipses and cubic spline regression, controlling for sex and age. RESULTS The participants from Uganda and Nepal were more affected by undernutrition, and those from the US and UK by obesity. In all groups, phase angle and specific vector length were weakly associated with HAZ, with null or opposite relationships in the different samples, whereas they were positively associated with BAZ. The stronger association was between vector length, indicative of the relative content of fat mass, and BAZ in the UK and US samples. Confidence ellipses showed that the relationships are more strongly related to phase angle in Nepalese and Ugandan samples. CONCLUSIONS Bioelectrical values were more strongly associated with BAZ than HAZ values in all population samples. Variability was more related to markers of muscle mass in Ugandan and Nepalese samples and to indicators of fat mass in UK and US samples. Specific BIVA can give information on the variability of body composition in malnourished individuals.
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Affiliation(s)
- Elisabetta Marini
- Department of Life and Environmental Sciences, University of Cagliari, Monserrato, Cagliari, Italy.
| | - Silvia Stagi
- Department of Life and Environmental Sciences, University of Cagliari, Monserrato, Cagliari, Italy
| | - Stefano Cabras
- Department of Statistics, Universidad Carlos III de Madrid, Gefate, Spain
| | - Ornella Comandini
- Department of Life and Environmental Sciences, University of Cagliari, Monserrato, Cagliari, Italy
| | - Jude Thaddeus Ssensamba
- Center for Innovations in Health Africa (CIHA Uganda), Kampala, Uganda; Makerere University Walter Reed Project (MUWRP), Kampala, Uganda
| | - Mary Fewtrell
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Laura Busert-Sebela
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Naomi M Saville
- Institute for Global Health, University College London, London, UK
| | - Carrie P Earthman
- Department of Health Behavior and Nutrition Sciences, University of Delaware, Newark, Delaware, US
| | - Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Jonathan C K Wells
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
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Ayala-Guzmán CI, Ortiz-Hernandez L, Escudero Malpica C, Macias Rosas A, Castro Avila JI. Phase Angle and Body Composition as Predictors of Fitness and Athletic Performance in Adolescent Boxers. Pediatr Exerc Sci 2024; 36:201-210. [PMID: 39069282 DOI: 10.1123/pes.2023-0165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 04/16/2024] [Accepted: 05/02/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND Phase angle (PhA) is an indicator of cellular health, function, and integrity. PhA has been considered an indicator of nutritional and health status, but it is uncertain whether it could be used as a fitness or athletic performance indicator. OBJECTIVE To analyze the relationship between PhA and the fitness and athletic performance of adolescent boxers and to know whether this association is independent of body composition. METHODS Thirty-seven trained youth boxers (15-18 y old) participated in the study. Participants underwent anthropometry and bioelectrical impedance assessments. The following tests were conducted: Fitness-Gram battery; speed, agility, and quickness; ball throws; punch impact force; bench press maximal strength; and vertical and horizontal jumps. Linear regression models were estimated and adjusted by covariates. RESULTS The PhA was related to upper-limb strength. Nevertheless, in linear regression models, after adjusting models by body composition, only PhA remained as a predictor of relative maximal strength. The PhA was not a predictor of speed, agility, and quickness; cardiorespiratory fitness; or lower-limb power, in which adiposity was the main predictor of fitness. CONCLUSIONS In adolescent boxers, PhA can predict upper-limb maximal strength independently of bioelectrical impedance analysis premises. However, compared with mucle mass, PhA is not a better predictor of upper-limb maximal strength.
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Affiliation(s)
- César Iván Ayala-Guzmán
- Doctorado en Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Ciudad de México,Mexico
- Universidad del Valle de México campus Coyoacán-Tlalpan, Ciudad de México,Mexico
- Health Care Department, Universidad Autónoma Metropolitana, Mexico City,Mexico
| | - Luis Ortiz-Hernandez
- Universidad del Valle de México campus Coyoacán-Tlalpan, Ciudad de México,Mexico
- Health Care Department, Universidad Autónoma Metropolitana, Mexico City,Mexico
| | - Cristian Escudero Malpica
- Health Care Department, Universidad Autónoma Metropolitana, Mexico City,Mexico
- Professional College of Graduates in Sports Training, Mexico City,Mexico
| | - Alejandro Macias Rosas
- Health Care Department, Universidad Autónoma Metropolitana, Mexico City,Mexico
- Professional College of Graduates in Sports Training, Mexico City,Mexico
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Kuriyan R, Hills AP, Murphy-Alford A, Padmanabha R, Nyati LH, Byrne NM, Kurpad AV, Norris S. Body composition of infants at 6 months of age using a 3-compartment model. Eur J Clin Nutr 2024; 78:936-942. [PMID: 37833566 PMCID: PMC11537952 DOI: 10.1038/s41430-023-01351-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 09/16/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023]
Abstract
BACKGROUND/OBJECTIVES Two compartment (2 C) models of body composition, including Air Displacement Plethysmography (ADP) and Deuterium Dilution (DD), assume constant composition of fat-free mass (FFM), while 3-compartment (3 C) model overcomes some of these assumptions; studies are limited in infants. The objective of the present study is to compare 3 C estimates of body composition in 6-mo. old infants from Australia, India, and South Africa, including FFM density and hydration, compare with published literature and to evaluate agreement of body composition estimates from ADP and DD. METHODS Body volume and water were measured in 176 healthy infants using ADP and DD. 3C-model estimates of fat mass (FM), FFM and its composition were calculated, compared between countries (age and sex adjusted) and with published literature. Agreement between estimates from ADP and DD were compared by Bland-Altman and correlation analyses. RESULTS South African infants had significantly higher % FM (11.5%) and density of FFM compared to Australian infants. Australian infants had significantly higher % FFM (74.7 ± 4.4%) compared to South African infants (71.4 ± 5.0) and higher FFMI (12.7 ± 0.8 kg/m2) compared to South African (12.3 ± 1.2 kg/m2) and Indian infants (11.9 ± 1.0 kg/m2). FFM composition of present study differed significantly from literature. Pooled three country estimates of FM and FFM were comparable between ADP and DD; mean difference of -0.05 (95% CI: -0.64, +0.55) kg and +0.05 (95% CI: -0.55, +0.64) kg. CONCLUSIONS 3C-model estimates of body composition in infants differed between countries; future studies are needed to confirm these findings and investigate causes for the differences.
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Affiliation(s)
| | | | | | | | | | | | | | - Shane Norris
- University of Witwatersrand, Johannesburg, South Africa
- University of Southampton, Southampton, UK
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4
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Meixner BJ, Nusser V, Koehler K, Sablain M, Boone J, Sperlich B. Relationship of peak capillary blood lactate accumulation and body composition in determining the mechanical energy equivalent of lactate during sprint cycling. Eur J Appl Physiol 2024; 124:3399-3407. [PMID: 38951183 PMCID: PMC11519294 DOI: 10.1007/s00421-024-05529-9] [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] [Received: 05/17/2024] [Accepted: 06/13/2024] [Indexed: 07/03/2024]
Abstract
AIM A 15-s all-out sprint cycle test (i.e., νLamax-test) and the post-exercise change in capillary blood lactate concentration is an emerging diagnostic tool that is used to quantify the maximal glycolytic rate. The goal of this study was to determine the relation between 15 s-work, change in capillary blood lactate concentration (∆La) and body composition in a νLamax-test. METHOD Fifty cyclists performed a 15 s all-out sprint test on a Cyclus2 ergometer twice after a previous familiarization trial. Capillary blood was sampled before and every minute (for 8 min) after the sprint to determine ∆La. Body composition was determined employing InBody720 eight-electrode impedance analysis. RESULT Simple regression models of fat-free mass (FFM) and also the product of FFM and ∆La showed similar ability to predict 15 s-work (R2 = 0.79; 0.82). Multiple regression combining both predictors explains 93% of variance between individuals. No differences between males and females were found regarding 15 s-work relative to the product of fat-free mass and ∆La. Considering pairs of similar FFM, a change 1 mmol/l of ∆La is estimated to be equal to 12 J/kg in 15 s-work (R2 = 0.85). DISCUSSION Fifteen s-work is both closely related to FFM and also the product of ∆La and lactate-distribution space approximated by FFM. Differences in 15 s-work between males and females disappear when total lactate production is considered. Considering interindividual differences, the mechanical energy equivalent of blood lactate accumulation seems a robust parameter displaying a clear relationship between ∆La and 15 s-work relative to FFM.
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Affiliation(s)
- Benedikt Johannes Meixner
- Integrative & Experimental Exercise Science & Training, Institute of Sport Science, Julius-Maximilians-Universität Würzburg, Judenbühlweg 11, 97082, Würzburg, Germany.
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg, Gebbertstraße 123B, 91058, Erlangen, Germany.
- Iq-Move Praxis Fraunberger, Gebbertstraße 123B, 91058, Erlangen, Germany.
| | - Valentin Nusser
- Department of Health and Sport Science, TUM School of Medicine and Health, Technical University of Munich, Connollystr. 32, 80809, Munich, Germany
| | - Karsten Koehler
- Department of Health and Sport Science, TUM School of Medicine and Health, Technical University of Munich, Connollystr. 32, 80809, Munich, Germany
| | - Mattice Sablain
- Department of Movement and Sports Sciences, Ghent University, Watersportlaan 2, 9000, Ghent, Belgium
| | - Jan Boone
- Department of Movement and Sports Sciences, Ghent University, Watersportlaan 2, 9000, Ghent, Belgium
| | - Billy Sperlich
- Integrative & Experimental Exercise Science & Training, Institute of Sport Science, Julius-Maximilians-Universität Würzburg, Judenbühlweg 11, 97082, Würzburg, Germany
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Eriksen CS, Møller S. Quantitative Assessment of Body Composition in Cirrhosis. Diagnostics (Basel) 2024; 14:2191. [PMID: 39410594 PMCID: PMC11482591 DOI: 10.3390/diagnostics14192191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Revised: 09/24/2024] [Accepted: 09/27/2024] [Indexed: 10/19/2024] Open
Abstract
Changes in body composition often accompany the progression of liver disease and seem to be an aggravating pathophysiological factor. Specifically, accelerated loss of skeletal muscle mass, lower muscle quality, and changes in body fat distribution have been shown to be associated with poor clinical outcomes. The aim of the present narrative review was to discuss the current status and relevance of commonly applied, advanced, non-invasive methods to quantify skeletal muscle mass, muscle fat infiltration-i.e., myosteatosis-and fat distribution. This review focuses in particular on Computed Tomography (CT), Dual-energy X-ray Absorptiometry (DXA), Bioelectrical Impedance Analysis (BIA), Magnetic Resonance Imaging (MRI), and Ultrasonography (US). We propose future directions to enhance the diagnostic and prognostic relevance of using these methods for quantitative body composition assessment in patients with cirrhosis.
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Affiliation(s)
- Christian Skou Eriksen
- Department of Clinical Physiology and Nuclear Medicine, Center for Functional and Diagnostic Imaging and Research, Hvidovre Hospital, 2650 Hvidovre, Denmark;
| | - Søren Møller
- Department of Clinical Physiology and Nuclear Medicine, Center for Functional and Diagnostic Imaging and Research, Hvidovre Hospital, 2650 Hvidovre, Denmark;
- Institute of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
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Sciacchitano S, Napoli A, Rocco M, De Vitis C, Mancini R. Myxedema in Both Hyperthyroidism and Hypothyroidism: A Hormetic Response? Int J Mol Sci 2024; 25:9957. [PMID: 39337448 PMCID: PMC11431941 DOI: 10.3390/ijms25189957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2024] [Revised: 09/07/2024] [Accepted: 09/12/2024] [Indexed: 09/30/2024] Open
Abstract
Myxedema is a potentially life-threatening condition typically observed in severe hypothyroidism. However, localized or diffuse myxedema is also observed in hyperthyroidism. The exact cause and mechanism of this paradoxical situation is not clear. We report here the analysis of body fluid distribution by bioelectrical impedance analysis (BIA) in 103 thyroid patients, subdivided according to their functional status. All BIA parameters measured in subclinical thyroid dysfunctions did not significantly differ from those observed in euthyroid controls. On the contrary, they were clearly altered in the two extreme, opposite conditions of thyroid dysfunctions, namely overt hyperthyroidism and severe hypothyroidism, indicating the occurrence of a typical hormetic condition. Surprisingly, differences in BIA parameters related to fluid body composition were even more evident in hyperthyroidism than in hypothyroidism. A hormetic response to thyroid hormone (TH)s was previously reported to explain the paradoxical, biphasic, time- and dose-dependent effects on other conditions. Our results indicate that myxedema, observed in both hypothyroid and hyperthyroid conditions, represents another example of a hormetic-type response to THs. BIA offers no additional valuable information in evaluating fluid body composition in subclinical thyroid dysfunctions, but it represents a valuable method to analyze and monitor body fluid composition and distribution in overt and severe thyroid dysfunctions.
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Affiliation(s)
- Salvatore Sciacchitano
- Department of Life Sciences, Health and Health Professions, Link Campus University, Via del Casale di San Pio V, 00165 Rome, Italy
| | - Angela Napoli
- Departmental Faculty of Medicine, Unicamillus International University of Health and Medical Sciences, Via di Sant'Alessandro 8, 00131 Rome, Italy
| | - Monica Rocco
- Department of Clinical and Surgical Translational Medicine, Sapienza University, Via di Grottarossa 1035/1039, 00189 Rome, Italy
| | - Claudia De Vitis
- Department of Clinical and Molecular Medicine, Sapienza University, Via di Grottarossa 1035/1039, 00189 Rome, Italy
| | - Rita Mancini
- Department of Clinical and Molecular Medicine, Sapienza University, Via di Grottarossa 1035/1039, 00189 Rome, Italy
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7
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Bennett JP, Ford KL, Siervo M, Gonzalez MC, Lukaski HC, Sawyer MB, Mourtzakis M, Deutz NEP, Shepherd JA, Prado CM. Advancing body composition assessment in patients with cancer: First comparisons of traditional versus multicompartment models. Nutrition 2024; 125:112494. [PMID: 38843564 DOI: 10.1016/j.nut.2024.112494] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 04/28/2024] [Accepted: 05/02/2024] [Indexed: 08/17/2024]
Abstract
BACKGROUND AND AIMS Measurement of body composition using computed tomography (CT) scans may be a viable clinical tool for low muscle mass assessment in oncology. However, longitudinal assessments are often infeasible with CT. Clinically accessible body composition technologies can be used to track changes in fat-free mass (FFM) or muscle, though their accuracy may be impacted by cancer-related physiological changes. The purpose of this study was to examine the agreement among accessible body composition method with criterion methods for measures of whole-body FFM measurements and, when possible, muscle mass for the classification of low muscle in patients with cancer. METHODS Patients with colorectal cancer were recruited to complete measures of whole-body DXA, air displacement plethysmography (ADP), and bioelectrical impedance analysis (BIA). These measures were used alone, or in combination to construct the criterion multicompartment (4C) mode for estimating FFM. Patients also underwent abdominal CT scans as part of routine clinical assessment. Agreement of each method with 4C model was analyzed using mean constant error (CE = criterion - alternative), linear regression including root mean square error (RMSE), Bland-Altman limits of agreement (LoA) and mean percentage difference (MPD). Additionally, appendicular lean soft tissue index (ALSTI) measured by DXA and predicted by CT were compared for the absolute agreement, while the ALSTI values and skeletal muscle index by CT were assessed for agreement on the classification of low muscle mass. RESULTS Forty-five patients received all measures for the 4C model and 25 had measures within proximity of clinical CT measures. Compared to 4C, DXA outperformed ADP and BIA by showing the strongest overall agreement (CE = 1.96 kg, RMSE = 2.45 kg, MPD = 98.15 ± 2.38%), supporting its use for body composition assessment in patients with cancer. However, CT cutoffs for skeletal muscle index or CT-estimated ALSTI were lower than DXA ALSTI (average 1.0 ± 1.2 kg/m2) with 24.0% to 32.0% of patients having a different low muscle classification by CT when compared to DXA. CONCLUSIONS Despite discrepancies between clinical body composition assessment and the criterion multicompartment model, DXA demonstrates the strongest agreement with 4C. Disagreement between DXA and CT for low muscle mass classification prompts further evaluation of the measures and cutoffs used with each technique. Multicompartment models may enhance our understanding of body composition variations at the individual patient level and improve the applicability of clinically accessible technologies for classification and monitoring change over time.
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Affiliation(s)
- Jonathan P Bennett
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Katherine L Ford
- Department of Kinesiology & Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Mario Siervo
- School of Population Health, Curtin University, Perth, Australia
| | | | - Henry C Lukaski
- Department of Kinesiology and Public Health Education, University of North Dakota, Grand Forks, North Dakota, USA
| | - Michael B Sawyer
- Department of Oncology, University of Alberta, Edmonton, Alberta, Canada
| | - Marina Mourtzakis
- Department of Kinesiology & Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Nicolaas E P Deutz
- Center for Translational Research in Aging and Longevity, Texas A&M University, College Station, Texas, USA
| | - John A Shepherd
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Carla M Prado
- Department of Agricultural, Food & Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
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Castillo Castro C, González Arellanes R, Camacho Mondragón CG, Farfán Esponda HR, del Razo Olvera FM, Aguilar Salinas CA, Martagon AJ. Agreement Between Bioelectrical Impedance Analysis and Dual-Energy X-ray Absorptiometry to Estimate Fat Mass in Hispanic Adults With Type 2 Diabetes Mellitus: A Cross-Sectional Study. Clin Med Insights Endocrinol Diabetes 2024; 17:11795514241274691. [PMID: 39224772 PMCID: PMC11367586 DOI: 10.1177/11795514241274691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 07/02/2024] [Indexed: 09/04/2024] Open
Abstract
Background Adipose tissue excess is associated with adverse health outcomes, including type 2 diabetes. Body mass index (BMI) is used to evaluate obesity but is inaccurate as it does not account for muscle mass, bone density, and fat distribution. Accurate measurement of adipose tissue through dual-energy X-ray absorptiometry (DXA) and computed axial tomography (CT) is crucial for managing and monitoring adiposity-related diseases. Still, these are not easily accessible in most hospitals in Mexico. Bioelectrical impedance analysis (BIA) is non-invasive and low-cost but may not be reliable in conditions affecting the body's hydration status, like diabetes. Objectives To assess fat mass concordance between BIA and DXA in Hispanic-American adults with type 2 diabetes mellitus (T2DM). Methods Cross-sectional study of a non-probabilistic sample of subjects over 18 years with type 2 diabetes. We used DXA as the reference method. Results We evaluated the accuracy of FM estimation through BIA and DXA in 309 subjects with type 2 diabetes. Results showed a trend of overestimating the diagnosis of obesity using BIA, especially in individuals with a higher fat mass index (FMI). At the group level, we found BIA accurate; however, at the individual level, it is not. The bias between the 2 methods showed a statistically significant overestimation of body fat by BIA (P ⩽ .01) in both sexes. BIA demonstrated high precision in estimating fat mass. We were able to provide a correction factor of 0.55 kg in men. Conclusion BIA is inaccurate compared to DXA for body composition assessment in patients with diabetes. Inaccurate measurements can result in misclassification. However, BIA is precise for body composition assessment in patients with diabetes, so it is reliable for tracking patient progress over time.
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Affiliation(s)
| | | | | | | | - Fabiola Mabel del Razo Olvera
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición, Mexico City, Mexico
| | - Carlos A Aguilar Salinas
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición, Mexico City, Mexico
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Alexandro J Martagon
- Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Mexico
- The Institute for Obesity Research, Tecnologico de Monterrey, Mexico City, Mexico
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición, Mexico City, Mexico
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Kim M, Park YW, Im DW, Jeong Y, Noh HJ, Yang SJ, Kang E, Ryu H, Kim J, Koo JR, Na KR, Seong EY, Oh KH. Association of Handgrip Strength and Nutritional Status in Non-Dialysis-Dependent Chronic Kidney Disease Patients: Results from the KNOW-CKD Study. Nutrients 2024; 16:2442. [PMID: 39125323 PMCID: PMC11314453 DOI: 10.3390/nu16152442] [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: 06/21/2024] [Revised: 07/21/2024] [Accepted: 07/23/2024] [Indexed: 08/12/2024] Open
Abstract
Handgrip strength (HGS) is suggested as an indirect assessment of nutritional status in chronic kidney disease (CKD) patients, but evidence is limited for non-dialysis-dependent CKD (NDD-CKD) patients. This cross-sectional study included 404 patients from the Phase II KoreaN Cohort Study for Outcome in Patients With CKD. HGS, measured twice in each hand, was the exposure, and malnutrition status was defined by a malnutrition-inflammation score (MIS) of 6 or higher. A logistic regression analysis adjusted for age, sex, diabetes mellitus (DM), hypertension, CKD stages, smoking, overhydration, education, and income status was used to assess malnutrition risk. The predictability of HGS for malnutrition was evaluated using the area under the curve (AUC). Patients with lower HGS were older, had a higher prevalence of DM, and lower estimated glomerular filtration rate. Higher HGS was significantly associated with lower malnutrition risk after adjustment (per 1 standard deviation increase, adjusted odds ratio, 0.47 [0.30-0.75]). Subgroup analyses showed no significant interaction between HGS and malnutrition risk across age, sex, DM, and CKD stage. HGS showed fair predictability for malnutrition in men (AUC 0.64 [0.46-0.83]) and women (AUC 0.71 [0.55-0.86]). In conclusion, HGS is a useful diagnostic indicator of malnutrition in NDD-CKD patients.
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Grants
- 2011E3300300, 2012E3301100, 2013E3301600, 2013E3301601, 2013E3301602, 2016E3300200, 2016E3300201, 2016E3300202, 2019E320100, 2019E320101, 2019E320102, 2022-11-007 Korea Disease Control and Prevention Agency
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Affiliation(s)
- Minsang Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea; (M.K.); (Y.-W.P.); (E.K.); (H.R.)
| | - Yeong-Won Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea; (M.K.); (Y.-W.P.); (E.K.); (H.R.)
| | - Dha Woon Im
- Department of Internal Medicine, Uijeongbu Eulji Medical Center, Uijeongbu 11759, Republic of Korea;
| | - Yujin Jeong
- Department of Biostatistics, Korea University College of Medicine, Seoul 08308, Republic of Korea;
| | - Hyo Jin Noh
- Department of Food and Nutrition, Seoul Women’s University, Seoul 01797, Republic of Korea; (H.J.N.); (S.J.Y.)
| | - Soo Jin Yang
- Department of Food and Nutrition, Seoul Women’s University, Seoul 01797, Republic of Korea; (H.J.N.); (S.J.Y.)
| | - Eunjeong Kang
- Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea; (M.K.); (Y.-W.P.); (E.K.); (H.R.)
- Department of Transplantation Center, Seoul National University Hospital, Seoul 03080, Republic of Korea
| | - Hyunjin Ryu
- Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea; (M.K.); (Y.-W.P.); (E.K.); (H.R.)
| | - Jayoun Kim
- Medical Research Collaborating Center, Seoul National University Hospital, Seoul 03080, Republic of Korea;
| | - Ja-Ryong Koo
- Department of Internal Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong 18450, Republic of Korea;
| | - Ki Ryang Na
- Department of Internal Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea;
| | - Eun Young Seong
- Department of Internal Medicine & Biomedical Research Institute, Pusan National University Hospital, Busan 49241, Republic of Korea;
| | - Kook-Hwan Oh
- Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea; (M.K.); (Y.-W.P.); (E.K.); (H.R.)
- Kidney Research Institute, Seoul National University Medical Research Center, Seoul 03080, Republic of Korea
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10
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Silva AM, Campa F, Sardinha LB. The usefulness of total body protein mass models for adolescent athletes. Front Nutr 2024; 11:1439208. [PMID: 39040929 PMCID: PMC11262245 DOI: 10.3389/fnut.2024.1439208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Accepted: 06/24/2024] [Indexed: 07/24/2024] Open
Abstract
The present study aimed to assess the utility of a less laborious technique for estimating total body protein (TBPro) in young athletes, using a multicomponent model as the criterion method. A total of 88 (49 boys and 39 girls) adolescent athletes (age: 15.2 ± 1.5 years; body mass index: 21.2 ± 2.7 kg/m2) participated. A 6-compartment model was used as the reference method (TBProReference) involving air displacement plethysmography for body volume, dual-energy X-ray absorptiometry (DXA) for bone mineral content, and deuterium dilution for total body water (TBW). Alternatively, DXA TBPro models were used as TBPro = lean-soft mass (LSM) - HFFFM × fat-free mass (FFM) - Ms. - G, where LSM and FFM were assessed using DXA, HFFFM is the hydration fraction of the FFM using measured TBW or assumed TBW (adult fraction of 0.732; Lohman's constants or mean observed HFFFM), Ms. is soft tissue minerals (Ms = 0.0129 × HFFFM × FFM), and G is glycogen calculated as 0.044 × (LSM - HFFFM × FFM - Ms). The maturation level was determined by self-assessment. TBPro obtained from DXA using the assumed HFFFM explained 73% to 77% of the variance compared to TBProReference. Meanwhile, using the mean values of measured HFFFM, the DXA model explained 53 and 36% for boys and girls, respectively. Larger bias (8.6% for boys and 25.8% for girls) and limits of agreement were found for the DXA model using measured HFFFM (boys for 66.9% and girls for 70%) compared to an assumed HFFFM (bias ranged from 1.5% to 22.5% and limits of agreement ranged from 31.3% to 35.3%). Less complex and demanding TBPro DXA models with the assumed HFFFM are valid alternatives for assessing this relevant FFM component in groups of adolescent athletes but are less accurate for individual results. Though future studies should be conducted to test the usefulness of these models in longitudinal and experimental designs, their potential to provide an estimation of protein mass after exercise and diet interventions in young athletes is anticipated.
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Affiliation(s)
- Analiza M. Silva
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Francesco Campa
- Department of Biomedical Sciences, University of Padua, Padua, Italy
| | - Luís B. Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
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11
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Scorza FA, Chaddad-Neto F, Beltramim L, Finsterer J, de la Rosa T. Water pollution and the brain. Clinics (Sao Paulo) 2024; 79:100424. [PMID: 38943704 PMCID: PMC11261245 DOI: 10.1016/j.clinsp.2024.100424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 06/10/2024] [Indexed: 07/01/2024] Open
Affiliation(s)
- Fulvio A Scorza
- Disciplina de Neurociência, Escola Paulista de Medicina/Universidade Federal de São Paulo (EPM/UNIFESP), São Paulo, SP, Brazil; Ministério do Desenvolvimento Agrário e Agricultura Familiar (MDA), São Paulo, SP, Brazil; Unidade de Neurocirurgia do Hospital Beneficência Portuguesa, São Paulo, SP, Brazil
| | - Feres Chaddad-Neto
- Unidade de Neurocirurgia do Hospital Beneficência Portuguesa, São Paulo, SP, Brazil; Departamento de Neurologia e Neurocirurgia, Escola Paulista de Medicina/Universidade Federal de São Paulo (EPM/UNIFESP), São Paulo, SP, Brazil
| | - Larissa Beltramim
- Disciplina de Neurociência, Escola Paulista de Medicina/Universidade Federal de São Paulo (EPM/UNIFESP), São Paulo, SP, Brazil; Ministério do Desenvolvimento Agrário e Agricultura Familiar (MDA), São Paulo, SP, Brazil
| | | | - Tomás de la Rosa
- Neuroscience Department, Universidad de Cádiz, Facultad de Medicina 3 Planta, Cádiz, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, Spain; Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
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12
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Suarez-Ortegón MF, Zea-León MDP, Astudillo-Gironza AM, Garzón S, Portela GF, Villarreal-Nieto OD. Sweat Rate, Sweat Sodium Losses, and Body Composition in Professional Male Soccer Players in Southwest Colombia. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:113. [PMID: 38256373 PMCID: PMC10819496 DOI: 10.3390/medicina60010113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 01/02/2024] [Accepted: 01/04/2024] [Indexed: 01/24/2024]
Abstract
Background and Objective: Dehydration and hyperhydration impact athletes' performance. Exploring the fluid balance concerning body composition might help estimate individual hydration requirements. This area of research, particularly regarding sodium losses, has been relatively understudied. We evaluated the sweat rate (SR), sweat sodium losses, and their relationship with body composition in professional soccer players in Cali, Colombia. Materials and Methods: Thirty-two male players, aged 24.3 (±5.2) years, from the Colombian main soccer league, underwent high-intensity training at 32 °C (with a relative humidity of 79%). The outcome variables included SR, calculated using weight loss and fluid intake; forearm sweat sodium concentration (FSCC), measured through the direct ion-selective electrode method; and estimated the predicted whole sweat sodium loss (PWSSL) in mmol. Predictor variables (body mass, fat, and muscle masses) were estimated using the Deborah Kerr anthropometry method. The association between predictors and outcomes was assessed using linear regression. Results: The mean FSCC, PWSSL, and SR were 26.7 ± 11.3 mmol/L, 43 ± 15.9 mmol/L, and 1.7 ± 0.5 L/h, respectively. Body mass positively predicted FSCC in unadjusted and age/fat-mass-adjusted models [Beta 1.28, 95% confidence interval (CI) 0.39-2.18, p = 0.006], and continued related to FSCC after adjustment for muscle mass with marginal significance [Beta 0.85, 95% CI -0.02 to 1.73, p = 0.056]. Muscle mass was associated with the PWSSL in unadjusted and age/fat-mass-adjusted models [Beta 2.42, 95% CI 0.58-4.26, p = 0.012] and sustained an association with marginal statistical significance after adjustment for body mass [Beta 1.86, 95% CI -0.35 to 4.09, p = 0.097]. Conclusions: Under hot tropical weather conditions, FSCC was relatively low among the players. Body mass was better associated with the FSSC, and muscle mass better related to the PWSSL. Body and muscle masses could be regarded as potential factors to be explored in the estimation of individual sodium needs. However, further studies are required to validate and contrast our findings.
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Affiliation(s)
- Milton Fabian Suarez-Ortegón
- Departamento de Alimentación y Nutrición, Facultad de Ciencias de La Salud, Pontificia Universidad Javeriana Seccional Cali, Cali 760021, Colombia;
| | - Maria del Pilar Zea-León
- Departamento de Alimentación y Nutrición, Facultad de Ciencias de La Salud, Pontificia Universidad Javeriana Seccional Cali, Cali 760021, Colombia;
| | | | - Silverio Garzón
- Departamento de Ciencias Básicas, Facultad de Ciencias de La Salud, Pontificia Universidad Javeriana Seccional Cali, Cali 760021, Colombia;
| | | | - Oscar Daniel Villarreal-Nieto
- Departamento de Alimentación y Nutrición, Facultad de Ciencias de La Salud, Pontificia Universidad Javeriana Seccional Cali, Cali 760021, Colombia;
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13
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Song Y, Bae MI, Han DW, Park EJ, Park S, Ham SY. Prognostic role of body composition in peritoneal carcinomatosis patients undergoing cytoreduction and hyperthermic intraperitoneal chemotherapy. World J Surg Oncol 2023; 21:345. [PMID: 37891626 PMCID: PMC10604686 DOI: 10.1186/s12957-023-03233-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 10/19/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Bioelectric impedance analysis (BIA)-measured body composition and nutritional status have been used as prognostic indicators in various cancer cohorts. This study investigated whether BIA could provide information on prognosis in peritoneal carcinomatosis patients undergoing cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC). METHODS We retrospectively analyzed the data of 99 patients with preoperative BIA data among those who underwent CRS and HIPEC. The association between BIA-derived parameters and intraoperative peritoneal cancer index (PCI) score was assessed. Predictive analysis for the occurrence of postoperative morbidities including major complications (Clavien-Dindo classification 3-4) and re-admission within 30 days after surgery as well as 1 year mortality was also performed. RESULTS BIA-derived mineral (r = 0.224, p = 0.027), fat (r = - 0.202, p = 0.048), and total body water (TBW)/fat-free mass (FFM) (r = - 0.280, p = 0.005) showed significant associations with intraoperative PCI score. Lower TBW/FFM was an independent predictor of major postoperative complications (OR 0.047, 95% CI 0.003-0.749, p = 0.031) and re-admission (OR 0.094, 95% CI 0.014-0.657, p = 0.017) within 30 days after surgery. Higher fat mass was also independently associated with a higher risk of major postoperative complications (OR 1.120, 95% CI 1.006-1.248, p = 0.039) and re-admission (OR 1.123, 95% CI 1.024-1.230, p = 0.013). Intraoperative PCI score > 20 (OR 4.489, 95% CI 1.191-16.917, p = 0.027) and re-admission within 30 days after surgery (OR 5.269, 95% CI 1.288-21.547, p = 0.021) independently predicted postoperative 1-year mortality. CONCLUSIONS We demonstrate that preoperative BIA-derived TBW/FFM and fat mass were significantly correlated with metastatic extent, assessed by PCI score, in patients with peritoneal carcinomatosis. In addition, BIA-derived TBW/FFM and fat mass showed independent predictability for postoperative 30-day major complications and re-admission in patients undergoing CRS and HIPEC. Our findings suggest that assessment of BIA may improve discrete risk stratification in patients who are planned to receive CRS and HIPEC.
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Affiliation(s)
- Young Song
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, 211 Eonjuro, Gangnam-Gu, 06273, Seoul, Republic of Korea
- Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Myung Il Bae
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, 211 Eonjuro, Gangnam-Gu, 06273, Seoul, Republic of Korea
- Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Dong Woo Han
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, 211 Eonjuro, Gangnam-Gu, 06273, Seoul, Republic of Korea
- Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Eun Jung Park
- Division of Colon and Rectal Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sujung Park
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, 211 Eonjuro, Gangnam-Gu, 06273, Seoul, Republic of Korea
| | - Sung Yeon Ham
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, 211 Eonjuro, Gangnam-Gu, 06273, Seoul, Republic of Korea.
- Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
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Saini K, Cho S, Tewari M, Jalil AR, Wang M, Kasznel AJ, Yamamoto K, Chenoweth DM, Discher DE. Pan-tissue scaling of stiffness versus fibrillar collagen reflects contractility-driven strain that inhibits fibril degradation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.27.559759. [PMID: 37808742 PMCID: PMC10557712 DOI: 10.1101/2023.09.27.559759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Polymer network properties such as stiffness often exhibit characteristic power laws in polymer density and other parameters. However, it remains unclear whether diverse animal tissues, composed of many distinct polymers, exhibit such scaling. Here, we examined many diverse tissues from adult mouse and embryonic chick to determine if stiffness ( E tissue ) follows a power law in relation to the most abundant animal protein, Collagen-I, even with molecular perturbations. We quantified fibrillar collagen in intact tissue by second harmonic generation (SHG) imaging and from tissue extracts by mass spectrometry (MS), and collagenase-mediated decreases were also tracked. Pan-tissue power laws for tissue stiffness versus Collagen-I levels measured by SHG or MS exhibit sub-linear scaling that aligns with results from cellularized gels of Collagen-I but not acellular gels. Inhibition of cellular myosin-II based contraction fits the scaling, and combination with inhibitors of matrix metalloproteinases (MMPs) show collagenase activity is strain - not stress- suppressed in tissues, consistent with past studies of gels and fibrils. Beating embryonic hearts and tendons, which differ in both collagen levels and stiffness by >1000-fold, similarly suppressed collagenases at physiological strains of ∼5%, with fiber-orientation regulating degradation. Scaling of E tissue based on 'use-it-or-lose-it' kinetics provides insight into scaling of organ size, microgravity effects, and regeneration processes while suggesting contractility-driven therapeutics.
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15
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Serra M, Alceste D, Hauser F, Hulshof PJM, Meijer HAJ, Thalheimer A, Steinert RE, Gerber PA, Spector AC, Gero D, Bueter M. Assessing daily energy intake in adult women: validity of a food-recognition mobile application compared to doubly labelled water. Front Nutr 2023; 10:1255499. [PMID: 37810925 PMCID: PMC10556674 DOI: 10.3389/fnut.2023.1255499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 09/04/2023] [Indexed: 10/10/2023] Open
Abstract
Accurate dietary assessment is crucial for nutrition and health research. Traditional methods, such as food records, food frequency questionnaires, and 24-hour dietary recalls (24HR), have limitations, such as the need for trained interviewers, time-consuming procedures, and inaccuracies in estimations. Novel technologies, such as image-based dietary assessment apps, have been developed to overcome these limitations. SNAQ is a novel image-based food-recognition app which, based on computer vision, assesses food type and volume, and provides nutritional information about dietary intake. This cross-sectional observational study aimed to investigate the validity of SNAQ as a dietary assessment tool for measuring energy and macronutrient intake in adult women with normal body weight (n = 30), compared to doubly labeled water (DLW), a reference method for total daily energy expenditure (TDEE). Energy intake was also estimated using a one-day 24HR for direct comparison. Bland-Altman plots, paired difference tests, and Pearson's correlation coefficient were used to assess agreement and relationships between the methods. SNAQ showed a slightly higher agreement (bias = -329.6 kcal/day) with DLW for total daily energy intake (TDEI) compared to 24HR (bias = -543.0 kcal/day). While both SNAQ and 24HR tended to underestimate TDEI, only 24HR significantly differed from DLW in this regard (p < 0.001). There was no significant relationship between estimated TDEI and TDEE using SNAQ (R2 = 27%, p = 0.50) or 24HR (R2 = 34%, p = 0.20) and there were no significant differences in energy and macronutrient intake estimates between SNAQ and 24HR (Δ = 213.4 kcal/day). In conclusion, these results indicate that SNAQ provides a closer representation of energy intake in adult women with normal body weight than 24HR when compared to DLW, but no relationship was found between the energy estimates of DLW and of the two dietary assessment tools. Further research is needed to determine the clinical relevance and support the implementation of SNAQ in research and clinical settings. Clinical trial registration: This study is registered on ClinicalTrials.gov with the unique identifier NCT04600596 (https://clinicaltrials.gov/ct2/show/NCT04600596).
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Affiliation(s)
- Michele Serra
- Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland
- Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland
| | - Daniela Alceste
- Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland
- Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland
| | - Florian Hauser
- Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland
| | - Paul J. M. Hulshof
- Division of Human Nutrition, Wageningen University, Wageningen, Netherlands
| | - Harro A. J. Meijer
- Centre for Isotope Research (CIO), Energy and Sustainability Research Institute Groningen, University of Groningen, Groningen, Netherlands
| | - Andreas Thalheimer
- Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland
| | - Robert E. Steinert
- Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland
| | - Philipp A. Gerber
- Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital Zurich, Zurich, Switzerland
| | - Alan C. Spector
- Department of Psychology and Program in Neuroscience, Florida State University, Tallahassee, FL, United States
| | - Daniel Gero
- Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland
| | - Marco Bueter
- Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland
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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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Francisco R, Jesus F, Nunes CL, Cioffi I, Alvim M, Mendonca GV, Lukaski H, Sardinha LB, Silva AM. Athletes with different habitual fluid intakes differ in hydration status but not in body water compartments. Scand J Med Sci Sports 2023; 33:1072-1078. [PMID: 36951582 DOI: 10.1111/sms.14355] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 02/09/2023] [Accepted: 03/20/2023] [Indexed: 03/24/2023]
Abstract
Physiological differences have been reported between individuals who have habitual low (LOW) and high (HIGH) water intake (WI). The aims of this study were to explore body water compartments, hydration status, and fat-free mass (FFM) hydration of elite athletes exposed to different habitual WI. A total of 68 athletes (20.6 ± 5.3 years, 23 females) participated in this observational cross-sectional study. Total WI was assessed by seven-day food diaries and through WI, athletes were categorized as HIGH (n = 28, WI≥40.0 mL/kg/d) and LOW (n = 40, WI≤35.0 mL/kg/d). Total body water (TBW) and extracellular water (ECW) were determined by dilution techniques and intracellular water (ICW) as TBW-ECW. Hydration status was assessed by urine-specific gravity (USG) using a refractometer. Fat (FM) and FFM were assessed by dual-energy X-ray absorptiometry (DXA). The FFM hydration was calculated by TBW/FFM. The USG was statistically different between groups for females (LOW: 1.024 ± 0.003; HIGH: 1.015 ± 0.006; p = 0.005) and males (LOW: 1.024 ± 0.002; HIGH: 1.018 ± 0.005; p < 0.001). No differences between groups were detected in body water compartments and FFM hydration in both sexes (p > 0.05). Multiple regression showed that WI remains a predictor of USG regardless of FFM, age, and sex (β = -0.0004, p < 0.01). We concluded that LOW athletes were classified as dehydrated through USG although their water compartments were not different from HIGH athletes. These results suggest that LOW athletes may expectedly maintain the body water compartments' homeostasis through endocrine mechanisms. Interventions should be taken to encourage athletes to have sufficient WI to maintain optimal hydration.
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Affiliation(s)
- Rúben Francisco
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Filipe Jesus
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Catarina L Nunes
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Iolanda Cioffi
- Department of Clinical Medicine and Surgery, Federico II University Hospital, Naples, Italy
| | - Marta Alvim
- National Institute of Health Doutor Ricardo Jorge, Lisbon, Portugal
| | - Goncalo V Mendonca
- Neuromuscular Research Lab, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Henry Lukaski
- Department of Kinesiology and Public Health Education, Hyslop Sports Center, University of North Dakota, Grand Forks, North Dakota, USA
| | - Luís B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
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Wang K, Mehta RS, Ma W, Nguyen LH, Wang DD, Ghazi AR, Yan Y, Al-Shaar L, Wang Y, Hang D, Fu BC, Ogino S, Rimm EB, Hu FB, Carmody RN, Garrett WS, Sun Q, Chan AT, Huttenhower C, Song M. The gut microbiome modifies the associations of short- and long-term physical activity with body weight changes. MICROBIOME 2023; 11:121. [PMID: 37254152 PMCID: PMC10228038 DOI: 10.1186/s40168-023-01542-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 04/05/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND The gut microbiome regulates host energy balance and adiposity-related metabolic consequences, but it remains unknown how the gut microbiome modulates body weight response to physical activity (PA). METHODS Nested in the Health Professionals Follow-up Study, a subcohort of 307 healthy men (mean[SD] age, 70[4] years) provided stool and blood samples in 2012-2013. Data from cohort long-term follow-ups and from the accelerometer, doubly labeled water, and plasma biomarker measurements during the time of stool collection were used to assess long-term and short-term associations of PA with adiposity. The gut microbiome was profiled by shotgun metagenomics and metatranscriptomics. A subcohort of 209 healthy women from the Nurses' Health Study II was used for validation. RESULTS The microbial species Alistipes putredinis was found to modify the association between PA and body weight. Specifically, in individuals with higher abundance of A. putredinis, each 15-MET-hour/week increment in long-term PA was associated with 2.26 kg (95% CI, 1.53-2.98 kg) less weight gain from age 21 to the time of stool collection, whereas those with lower abundance of A. putredinis only had 1.01 kg (95% CI, 0.41-1.61 kg) less weight gain (pinteraction = 0.019). Consistent modification associated with A. putredinis was observed for short-term PA in relation to BMI, fat mass%, plasma HbA1c, and 6-month weight change. This modification effect might be partly attributable to four metabolic pathways encoded by A. putredinis, including folate transformation, fatty acid β-oxidation, gluconeogenesis, and stearate biosynthesis. CONCLUSIONS A greater abundance of A. putredinis may strengthen the beneficial association of PA with body weight change, suggesting the potential of gut microbial intervention to improve the efficacy of PA in body weight management. Video Abstract.
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Affiliation(s)
- Kai Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
| | - Raaj S Mehta
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Long H Nguyen
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dong D Wang
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew R Ghazi
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yan Yan
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Laila Al-Shaar
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yiqing Wang
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Dong Hang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology and Biostatistics, International Joint Research Center On Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Benjamin C Fu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Eric B Rimm
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel N Carmody
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Wendy S Garrett
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Qi Sun
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Curtis Huttenhower
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA.
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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19
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Blue MNM, Tinsley GM, Hirsch KR, Ryan ED, Ng BK, Smith-Ryan AE. Validity of total body water measured by multi-frequency bioelectrical impedance devices in a multi-ethnic sample. Clin Nutr ESPEN 2023; 54:187-193. [PMID: 36963862 DOI: 10.1016/j.clnesp.2023.01.026] [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: 01/24/2023] [Accepted: 01/26/2023] [Indexed: 02/05/2023]
Abstract
BACKGROUND & AIMS Total body water (TBW) is the largest component of fat free mass and therefore is commonly used in multi-compartment body composition models and as a stand-alone method to assess body composition. Previous literature has not validated bioelectrical impedance spectroscopy device estimates of TBW in racial and ethnic minority populations; previous studies have focused on bioelectrical impedance analysis devices that rely on proprietary algorithms and participant characteristics for accuracy. The purpose of this study was to assess the validity of two bioelectrical impedance spectroscopy devices for measures of TBW compared to a deuterium dilution criterion in a multi-ethnic sample. METHODS 109 individuals (55% female, Age: 26.6 ± 6.9 yrs, BMI: 25.3 ± 4.0 kg/m2) identifying as Asian, African American/Black, Caucasian/White, Hispanic, and Multi-racial were enrolled. After a 12 h fast, participants provided a saliva sample for the criterion baseline TBW measure and completed two bioelectrical impedance device (BIS, IB) measurements of TBW. Participants then ingested deuterium oxide (D2O). After an equilibration period, participants provided a second saliva sample for analysis of TBW. RESULTS For the total multi-ethnic sample, BIS estimates demonstrated good to fairly good agreement (Total error [TE] = 2.56 L, R2 = 0.951) and IB estimates were excellent to very good (TE = 1.95 L, R2 = 0.975). Validity results did not vary meaningfully between race and ethnicity. CONCLUSIONS The results suggest the BIS and IB devices evaluated can produce valid TBW estimates compared to D2O in a multi-ethnic sample. TBW estimates from the IB may have better agreement with D2O compared to the BIS when using the default settings.
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Affiliation(s)
- Malia N M Blue
- Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, 27599, USA.
| | - Grant M Tinsley
- Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, 79409, USA
| | - Katie R Hirsch
- Department of Exercise Science, University of South Carolina, Columbia, SC, 29208, USA
| | - Eric D Ryan
- Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Bennett K Ng
- Emerging Growth and Incubation Group, Intel Corporation, Santa Clara, CA, USA
| | - Abbie E Smith-Ryan
- Department of Exercise and Sport Science, The University of North Carolina, Chapel Hill, NC, 27599, USA; Department of Nutrition, The University of North Carolina, Chapel Hill, NC, 27599, USA
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20
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Speakman JR, de Jong JMA, Sinha S, Westerterp KR, Yamada Y, Sagayama H, Ainslie PN, Anderson LJ, Arab L, Bedu-Addo K, Blanc S, Bonomi AG, Bovet P, Brage S, Buchowski MS, Butte NF, Camps SGJA, Cooper JA, Cooper R, Das SK, Davies PSW, Dugas LR, Ekelund U, Entringer S, Forrester T, Fudge BW, Gillingham M, Ghosh S, Goris AH, Gurven M, Halsey LG, Hambly C, Haisma HH, Hoffman D, Hu S, Joosen AM, Kaplan JL, Katzmarzyk P, Kraus WE, Kushner RF, Leonard WR, Löf M, Martin CK, Matsiko E, Medin AC, Meijer EP, Neuhouser ML, Nicklas TA, Ojiambo RM, Pietiläinen KH, Plange-Rhule J, Plasqui G, Prentice RL, Racette SB, Raichlen DA, Ravussin E, Redman LM, Roberts SB, Rudolph MC, Sardinha LB, Schuit AJ, Silva AM, Stice E, Urlacher SS, Valenti G, Van Etten LM, Van Mil EA, Wood BM, Yanovski JA, Yoshida T, Zhang X, Murphy-Alford AJ, Loechl CU, Kurpad A, Luke AH, Pontzer H, Rodeheffer MS, Rood J, Schoeller DA, Wong WW. Total daily energy expenditure has declined over the past three decades due to declining basal expenditure, not reduced activity expenditure. Nat Metab 2023; 5:579-588. [PMID: 37100994 PMCID: PMC10445668 DOI: 10.1038/s42255-023-00782-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 03/08/2023] [Indexed: 04/28/2023]
Abstract
Obesity is caused by a prolonged positive energy balance1,2. Whether reduced energy expenditure stemming from reduced activity levels contributes is debated3,4. Here we show that in both sexes, total energy expenditure (TEE) adjusted for body composition and age declined since the late 1980s, while adjusted activity energy expenditure increased over time. We use the International Atomic Energy Agency Doubly Labelled Water database on energy expenditure of adults in the United States and Europe (n = 4,799) to explore patterns in total (TEE: n = 4,799), basal (BEE: n = 1,432) and physical activity energy expenditure (n = 1,432) over time. In males, adjusted BEE decreased significantly, but in females this did not reach significance. A larger dataset of basal metabolic rate (equivalent to BEE) measurements of 9,912 adults across 163 studies spanning 100 years replicates the decline in BEE in both sexes. We conclude that increasing obesity in the United States/Europe has probably not been fuelled by reduced physical activity leading to lowered TEE. We identify here a decline in adjusted BEE as a previously unrecognized factor.
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Affiliation(s)
- John R Speakman
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK.
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
- CAS Center of Excellence in Animal Evolution and Genetics, Kunming, China.
| | - Jasper M A de Jong
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Srishti Sinha
- St Johns Medical college, Bengaluru, India
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Klaas R Westerterp
- School of Nutrition and Translational Research in Metabolism (NUTRIM), University of Maastricht, Maastricht, the Netherlands.
| | - Yosuke Yamada
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan.
| | - Hiroyuki Sagayama
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, Japan.
| | - Philip N Ainslie
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Liam J Anderson
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK
| | - Lenore Arab
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Kweku Bedu-Addo
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Stephane Blanc
- Nutritional Sciences, University of Wisconsin, Madison, WI, USA
- Institut Pluridisciplinaire Hubert Curien, CNRS Université de Strasbourg, Strasbourg, France
| | | | - Pascal Bovet
- University Center for Primary care and Public Health (Unisanté), Lausanne University Hospital, Lausanne, Switzerland
- Ministry of Health, Victoria, Seychelles
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Maciej S Buchowski
- Division of Gastroenterology, Hepatology and Nutritiion, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Nancy F Butte
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA
| | - Stefan G J A Camps
- School of Nutrition and Translational Research in Metabolism (NUTRIM), University of Maastricht, Maastricht, the Netherlands
| | - Jamie A Cooper
- Nutritional Sciences, University of Wisconsin, Madison, WI, USA
- Nutritional Sciences, University of Georgia, Athens, GA, USA
| | - Richard Cooper
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University, Maywood, IL, USA
| | - Sai Krupa Das
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Peter S W Davies
- Child Health Research Centre, Centre for Children's Health Research, University of Queensland, South Brisbane, Queensland, Australia
| | - Lara R Dugas
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University, Maywood, IL, USA
- Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Sonja Entringer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany
- University of California Irvine, Irvine, CA, USA
| | - Terrence Forrester
- Solutions for Developing Countries, University of the West Indies, Kingston, Jamaica
| | | | - Melanie Gillingham
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA
| | | | - Annelies H Goris
- IMEC within OnePlanet Research Center, Wageningen, the Netherlands
| | - Michael Gurven
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Lewis G Halsey
- School of Life and Health Sciences, University of Roehampton, London, UK
| | - Catherine Hambly
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Hinke H Haisma
- Population Research Centre, Faculty of Spatial Sciences, University of Groningen, Groningen, the Netherlands
| | - Daniel Hoffman
- Department of Nutritional Sciences, Program in International Nutrition, Rutgers University, New Brunswick, NJ, USA
| | - Sumei Hu
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, National Soybean Processing Industry Technology Innovation Center, Beijing Technology and Business University, Beijing, China
| | - Annemiek M Joosen
- School of Nutrition and Translational Research in Metabolism (NUTRIM), University of Maastricht, Maastricht, the Netherlands
| | - Jennifer L Kaplan
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA
| | | | | | | | - William R Leonard
- Department of Anthropology, Northwestern University, Evanston, IL, USA
| | - Marie Löf
- Department of Biosciences and Nutrition, Karolinska Institute, Stockholm, Sweden
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Corby K Martin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Eric Matsiko
- Department of Human Nutrition and Dietetics, University of Rwanda, Kigali, Rwanda
| | - Anine C Medin
- Department of Nutrition and Public Health, Faculty of Health and Sport Sciences, University of Agder, Kristiansand, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Erwin P Meijer
- School of Nutrition and Translational Research in Metabolism (NUTRIM), University of Maastricht, Maastricht, the Netherlands
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and School of Public Health, University of Washington, Seattle, WA, USA
| | - Theresa A Nicklas
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA
| | - Robert M Ojiambo
- Moi University, Eldoret, Kenya
- University of Global Health Equity, Kigali, Rwanda
| | | | - Jacob Plange-Rhule
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Guy Plasqui
- Department of Nutrition and Movement Sciences, Maastricht University, Maastricht, the Netherlands
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and School of Public Health, University of Washington, Seattle, WA, USA
| | - Susan B Racette
- Program in Physical Therapy and Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - David A Raichlen
- Biological Sciences and Anthropology, University of Southern California, Los Angeles, CA, USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | | | - Susan B Roberts
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Michael C Rudolph
- Department of Physiology and Harold Hamm Diabetes Center, Oklahoma University Health Sciences, Oklahoma City, OK, USA
| | - Luis B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
| | | | - Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
| | | | - Samuel S Urlacher
- Department of Anthropology, Baylor University, Waco, TX, USA
- Child and Brain Development program, CIFAR, Toronto, Ontario, Canada
| | - Giulio Valenti
- School of Nutrition and Translational Research in Metabolism (NUTRIM), University of Maastricht, Maastricht, the Netherlands
| | - Ludo M Van Etten
- School of Nutrition and Translational Research in Metabolism (NUTRIM), University of Maastricht, Maastricht, the Netherlands
| | - Edgar A Van Mil
- Maastricht University, Campus Venlo and Lifestyle Medicine Center for Children, Jeroen Bosch Hospital's-Hertogenbosch, Hertogenbosch, the Netherlands
| | - Brian M Wood
- University of California Los Angeles, Los Angeles, CA, USA
- Department of Human Behavior, Ecology, and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Jack A Yanovski
- Section on Growth and Obesity, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Tsukasa Yoshida
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Xueying Zhang
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Alexia J Murphy-Alford
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Cornelia U Loechl
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | | | - Amy H Luke
- Division of Epidemiology, Department of Public Health Sciences, Loyola University School of Medicine, Maywood, IL, USA.
| | - Herman Pontzer
- Evolutionary Anthropology, Duke University, Durham, NC, USA.
- Duke Global Health Institute, Duke University, Durham, NC, USA.
| | - Matthew S Rodeheffer
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA.
- Center of Molecular and Systems Metabolism, Yale University, New Haven, CT, USA.
- Department of Physiology, Yale University, New Haven, CT, USA.
| | - Jennifer Rood
- Pennington Biomedical Research Center, Baton Rouge, LA, USA.
| | - Dale A Schoeller
- Biotech Center and Nutritional Sciences, University of Wisconsin, Madison, WI, USA.
| | - William W Wong
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA.
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21
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El Kouki D, El Kari K, Draoui J, Ben Jemaa H, Ben Amor N, Monyeki A, Jamoussi H, Aguenaou H, Aouidet A, Mankaï A. Development and validation of anthropometric predictive equations that estimate the total body water and fat-free mass in Tunisian adults. Eur J Clin Nutr 2023; 77:447-453. [PMID: 36726031 PMCID: PMC9891746 DOI: 10.1038/s41430-023-01262-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 01/05/2023] [Accepted: 01/10/2023] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To develop and validate equations that estimate total body water (TBW) and fat-free mass (FFM) in adults using anthropometric measurements. METHODS A cross-sectional study was conducted among 178 adults (77 men and 101 women; aged 18-59 years). Participants were distributed by sex and age groups, and then randomly assigned to equal two groups; the development (n = 89) and the validation (n = 89). The anthropometric measurements included height and weight. The deuterium dilution technique (DDT) estimated TBW and FFM. Linear regression models were used with the TBW and FFM as the dependent variable, and height and weight as the independent variables. Cross-validation was performed by Bland and Altman plot, and the new anthropometric equations were developed. RESULTS In the validation sample, the developed equations had high R2 of 94.4 for both TBW and FFM in all age groups, and low standard errors (RMSE: 1.80 kg for TBW and 2.44 kg for FFM). The pure error was 2.03 for the TBW equation and 2.71 for the FFM equation. The Bland-Altman plot illustrated the good level of concordance between the TBW and FFM predicted by the new equations as determined by DDT. The following developed equations showed a better agreement with the DDT: [Formula: see text]; [Formula: see text]. CONCLUSION In this study, we developed and validated prediction equations for the estimation of TBW and FFM from DDT in healthy adult Tunisian population. The newly anthropometric prediction equations seem to be the most accurate for Tunisian adult.
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Affiliation(s)
- Donia El Kouki
- Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia.
- Research Unit "Obesity: Etiopathology and Treatment, UR18ES01", National Institute of Nutrition and Food Technology, Tunis, Tunisia.
- Faculty of Sciences of Bizerte, Carthage University, Tunis, Tunisia.
| | - Khalid El Kari
- Régional Designated Center of Nutrition Associated with AFRA/AIEA, Ibn Tofail University-CNESTEN, Rabat-Kénitra, Morocco
| | - Jihéne Draoui
- Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia
- Research Unit "Obesity: Etiopathology and Treatment, UR18ES01", National Institute of Nutrition and Food Technology, Tunis, Tunisia
- Faculty of Sciences of Bizerte, Carthage University, Tunis, Tunisia
| | - Houda Ben Jemaa
- Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia
- Laboratory SURVEN, National Institute of Nutrition and Food Technology of Tunis, Tunis, Tunisia
| | - Nadia Ben Amor
- Research Unit "Obesity: Etiopathology and Treatment, UR18ES01", National Institute of Nutrition and Food Technology, Tunis, Tunisia
| | - Andries Monyeki
- Physical Activity, Sport and Recreation, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
| | - Henda Jamoussi
- Research Unit "Obesity: Etiopathology and Treatment, UR18ES01", National Institute of Nutrition and Food Technology, Tunis, Tunisia
| | - Hassan Aguenaou
- Régional Designated Center of Nutrition Associated with AFRA/AIEA, Ibn Tofail University-CNESTEN, Rabat-Kénitra, Morocco
| | - Abdallah Aouidet
- Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia
- Laboratory SURVEN, National Institute of Nutrition and Food Technology of Tunis, Tunis, Tunisia
| | - Amani Mankaï
- Nutrition Department, Higher School of Health Sciences and Techniques, University of Tunis El Manar, Tunis, Tunisia
- Research Unit "Obesity: Etiopathology and Treatment, UR18ES01", National Institute of Nutrition and Food Technology, Tunis, Tunisia
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22
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El Kari K, Mankai A, El Kouki D, Mehdad S, Benjeddou K, El Hsaini H, El Mzibri M, Aguenaou H. Anthropometry-Based Prediction Equation of Body Composition in a Population Aged 12-88 Years. J Nutr 2023; 153:657-664. [PMID: 36931748 DOI: 10.1016/j.tjnut.2023.01.013] [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] [Received: 09/14/2022] [Revised: 01/03/2023] [Accepted: 01/09/2023] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Direct anthropometric measurements to assess body composition have limited precision and/or specificity. OBJECTIVES The study aimed to develop a prediction equation based on anthropometric measurements for estimating total body water (TBW) in a healthy population. METHODS TBW was assessed using the deuterium dilution method in 398 Moroccan participants (235 women and 163 men) aged 11.6-88 y, then compared to the estimations made by previously published anthropometric equations. By sex, participants were randomly assigned into development (n = 199) and validation subgroups (n = 199). A new anthropometric equation was developed in the development subgroup from data obtained on body volume (BV), weight, and sex, where the BV was calculated from participants' height. Then the equation was validated in the validation subgroup using the Bland and Altman procedure, bias, and pure error. External validation was performed using a sample from Tunisia (n = 220, 51.8% female, 18-65 y). RESULTS Bias in predicting TBW showed unacceptable value for all previously published equations as it was significantly overestimated. The following new equation using anthropometric measurements [TBW (kg) = -5.249 + 107.502 BV (L) + 0.289 weight (kg) + 2.015 sex (male: 1, female: 0); (R2 = 0.91, RMSE = 1.885 kg)] was developed, and its internal validation was confirmed. The generated bias and pure error values were 0.047 kg (95% CI: -0.235, 0.330) and 2.02 kg (95% CI: 1.73, 2.31), respectively. The external validation of the new TBW prediction equation on a Tunisian sample showed a bias and pure error values of 0.07 kg (95% CI: -0.289, 0.429) and 2.36 kg, respectively. CONCLUSIONS The results indicate that the new anthropometric-based prediction equation provides a good estimation of TBW and other body composition compartments. It could be recommended as an alternative method to assess body composition for epidemiological and clinical studies.
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Affiliation(s)
- Khalid El Kari
- RDC-Nutrition, Ibn Tofaïl University, Centre National de l'Énergie, des Sciences et Techniques Nucléaires, Kenitra, Morocco.
| | - Amani Mankai
- Institut National de Nutrition et Technologie alimentaire de Tunis, Tunis, Tunisia
| | - Donia El Kouki
- Institut National de Nutrition et Technologie alimentaire de Tunis, Tunis, Tunisia
| | - Slimane Mehdad
- RDC-Nutrition, Ibn Tofaïl University, Centre National de l'Énergie, des Sciences et Techniques Nucléaires, Kenitra, Morocco; Institut National de Nutrition et Technologie alimentaire de Tunis, Tunis, Tunisia; Physiology and Physiopathology Research Team, Research Centre of Human Pathologies Genomics, Faculty of Sciences, Mohammed V University, Rabat, Morocco
| | - Kaoutar Benjeddou
- RDC-Nutrition, Ibn Tofaïl University, Centre National de l'Énergie, des Sciences et Techniques Nucléaires, Kenitra, Morocco
| | - Houda El Hsaini
- RDC-Nutrition, Ibn Tofaïl University, Centre National de l'Énergie, des Sciences et Techniques Nucléaires, Kenitra, Morocco; Institut National de Nutrition et Technologie alimentaire de Tunis, Tunis, Tunisia; Physiology and Physiopathology Research Team, Research Centre of Human Pathologies Genomics, Faculty of Sciences, Mohammed V University, Rabat, Morocco; College of Health Sciences, International University of Rabat, Salé, Morocco
| | - Mohammed El Mzibri
- RDC-Nutrition, Ibn Tofaïl University, Centre National de l'Énergie, des Sciences et Techniques Nucléaires, Kenitra, Morocco
| | - Hassan Aguenaou
- RDC-Nutrition, Ibn Tofaïl University, Centre National de l'Énergie, des Sciences et Techniques Nucléaires, Kenitra, Morocco
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Marcussen C, Andersen A, Dietrich N, Blache D, Theil PK, Biourge V, Tauson AH. The 13C-bicarbonate technique as a tool for measurement of energy expenditure in overweight dogs undergoing body weight reduction and the effect of different dietary composition. J Anim Sci 2023; 101:skad075. [PMID: 36892254 PMCID: PMC10083729 DOI: 10.1093/jas/skad075] [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] [Received: 11/13/2022] [Accepted: 03/07/2023] [Indexed: 03/10/2023] Open
Abstract
Changes in body size and composition, i.e., body weight (BW) gain or loss, affect the daily energy expenditure (EE). To ensure an appropriate BW reduction and to find an efficient strategy to reduce and maintain a target BW, regular evaluations and adjustments of energy allowance are important. This study aimed to provide a detailed knowledge about the possible changes in resting EE using the oral 13C-bicarbonate technique (o13CBT) as a research tool in 16 overweight pet dogs undergoing BW reduction. Dietary composition (i.e., in % of dry matter [DM] being a high protein [33.3], low fat [9.6], and high crude fiber [18.0] diet [LFHFibre], and a high protein [37.9], high fat [52.0], carbohydrate-free diet [HFat]) during 16 wk of energy restriction were evaluated regarding effects on resting EE, rate of BW reduction, body composition, and plasma concentrations of metabolic hormones involved in energy metabolism and appetite regulation. The mean BW loss was higher (P < 0.05) for the dogs fed the LFHFibre diet (1.1%/wk) than that for dogs fed the HFat diet (0.8%/wk), but the total BW reduction of 14.6% and 12.0% of initial BW did not differ significantly (P > 0.05). Resting EE was lower (P < 0.02) after the BW reduction; 414 kJ (99 kcal)/kg BW0.75/d at the start (week 0) and 326 kJ (78 kcal)/kg BW0.75/d at the end (week 16) of the study. The BW reduction in both groups (P > 0.05) consisted of both fat mass (FM) and fat-free mass (FFM). Energy expenditure, calculated in relation to amount of FFM, was not significantly (P > 0.05) affected by BW reduction. Dietary composition did not significantly affect (P > 0.05) plasma concentrations of insulin, leptin, and ghrelin, and no effect (P > 0.05) of BW reduction was observed on hormone concentrations. In conclusion, the o13CBT proved to be a useful research method for studying short-term EE in overweight dogs. Even though all dogs lost BW, most dogs were still overweight at the end of the study. Due to a high individual variation among dogs, a longer experimental period with a larger sample size would be desirable.
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Affiliation(s)
- Caroline Marcussen
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Astrid Andersen
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Nanna Dietrich
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Dominique Blache
- School of Agriculture and Environment and the UWA Institute of Agriculture, The University of Western Australia, Perth, Australia
| | - Peter K Theil
- Department of Animal Science, Aarhus University, Tjele, Denmark
| | | | - Anne-Helene Tauson
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
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24
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Davis M. Effect of multiday endurance exercise on total body water and calculated body composition in racing sled dogs. COMPARATIVE EXERCISE PHYSIOLOGY 2022. [DOI: 10.3920/cep220035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Prolonged multiday exercise in dogs is often associated with a caloric deficit that can lead to changes in body composition but may also result in an increase in lean body mass due to a conditioning effect. To test the hypothesis that multiday exercise decreases fat mass but increases lean body mass, body composition was measured using deuterium oxide dilution in a team of racing Alaskan sled dogs competing in a multiday race. Twelve dogs completed 961 km in 6 days, resulting in a 3% decrease in body mass (P=0.003) and 16% decrease in body fat (P=0.005), and an increase in total body water as a fraction of body mass (P=0.01). Within the study population, there was considerable dog-to-dog variation, with 2 dogs gaining fat mass and 2 dogs losing over 40% of their pre-race fat mass during the measurement period. These results confirm that dogs participating in multiday exercise events are at risk for loss of body fat reserve, likely due to a net calorie deficit. However, individual dog responses to an exercise challenge can be highly variable, emphasizing the need for careful assessment of individual dogs.
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Affiliation(s)
- M.S. Davis
- Department of Physiological Sciences, College of Veterinary Medicine, Oklahoma State University, 264 McElroy Hall, Stillwater, OK 74078, USA
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25
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Abbeddou S, Jimenez EY, Hess SY, Somé JW, Ouédraogo JB, Brown KH. Small-quantity lipid-based nutrient supplements, with or without added zinc, do not cause excessive fat deposition in Burkinabe children: results from a cluster-randomized community trial. Eur J Nutr 2022; 61:4107-4120. [PMID: 35829783 PMCID: PMC9596589 DOI: 10.1007/s00394-022-02936-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 06/07/2022] [Indexed: 11/10/2022]
Abstract
PURPOSE Public health interventions to address stunting and wasting should be evaluated for possibly contributing to obesity risk. The present study tested the hypothesis that small-quantity lipid-based nutrient supplements (SQ-LNS) might increase fat deposition, and that additional zinc provided via SQ-LNS or in the form of dispersible tablets would increase fat-free mass (FFM) accretion. METHODS Using a two-stage, cluster-randomized trial design, 34 communities were randomly assigned to the intervention cohort (IC) or non-intervention cohort (NIC), and family compounds within the IC were randomly assigned to receive different amounts of zinc (0, 5 or 10 mg zinc) incorporated in SQ-LNS or 5 mg zinc in the form of dispersible tablets along with treatment for diarrhea, malaria and fever. Body composition was assessed in a subset of IC (n = 201) and NIC (n = 74) children at 9 and 18 months using the deuterium dilution method. A mixed linear model was used to examine average change in FFM and % fat mass (%FM) among intervention groups and by cohort. RESULTS Children in the IC had significantly greater change in FFM (Mean (95% Confidence Interval)) (1.57 (1.49, 1.64) kg) compared to the NIC (1.35 (1.23, 1.46) kg; p = 0.005). There were no significant differences in the change in %FM between the NIC and IC or among the intervention groups. CONCLUSION SQ-LNS, along with morbidity treatment increased weight gain and FFM in young children from 9 to 18 months of age without increasing FM deposition. Additional zinc supplementation did not affect changes in FFM or %FM. TRIAL REGISTRATION The study was registered as a clinical trial with the US National Institute of Health ( www. CLINICALTRIALS gov ; NCT00944281).
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Affiliation(s)
- Souheila Abbeddou
- Public Health Nutrition Unit, Department of Public Health and Primary Care, Ghent University, Campus UZ Gent, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
| | - Elizabeth Yakes Jimenez
- Departments of Pediatrics and Internal Medicine and College of Population Health, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
- Research, International and Scientific Affairs, Academy of Nutrition and Dietetics, Chicago, IL, USA
| | - Sonja Y Hess
- Department of Nutrition and Institute for Global Nutrition, University of California, Davis, CA, USA
| | - Jérome W Somé
- Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso
| | | | - Kenneth H Brown
- Department of Nutrition and Institute for Global Nutrition, University of California, Davis, CA, USA
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26
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Cataldi D, Bennett JP, Quon BK, Liu YE, Heymsfield SB, Kelly T, Shepherd JA. Agreement and Precision of Deuterium Dilution for Total Body Water and Multicompartment Body Composition Assessment in Collegiate Athletes. J Nutr 2022; 152:2048-2059. [PMID: 35665820 DOI: 10.1093/jn/nxac116] [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: 01/14/2022] [Revised: 03/11/2022] [Accepted: 05/24/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Deuterium oxide (D2O) dilution is the criterion method for total body water (TBW) measurement, but results may vary depending on the specimen type, analysis method, and analyzing laboratory. Bioelectrical impedance (BIA) estimates TBW, but results may vary by device make and model. OBJECTIVES We investigated the accuracy and precision of TBW estimates and how measurement conditions affected the accuracy of body composition using multicompartment body composition models. METHODS Eighty collegiate athletes received duplicate TBW measures acquired from 3 BIA devices (S10, SFB7, and SOZO) and from unique D2O combinations of specimen type (saliva, urine), analysis methodology [Fourier transform infrared spectrophotometry (FTIR), isotope-ratio mass spectrometry (IRMS)], and 3 different laboratories. TBW measures were substituted into 2-compartment (2C) and 5-compartment (5C) body composition models. Criterion measures were compared using Lin's concordance correlation coefficient cutoff of poor (<0.90), moderate (0.90-0.95), substantial (0.95-0.99), and almost perfect (>0.99). RESULTS Fifty-one participants (26 female) completed the protocol. Using IRMS saliva as the criterion TBW, all other measures produced a substantial or almost perfect agreement, except for SFB7 (poor) and SOZO (moderate). The 2C body composition measures using D2O and BIA produced poor agreement except for moderate agreement for lab 3 FTIR saliva. The 5C body composition measures using D2O produced a substantial agreement, whereas the BIA device S10 and SOZO had a moderate agreement, while the SFB7 had a poor agreement to the criterion. Test-retest precision varied between techniques from 0.3% to 1.2% for TBW. CONCLUSIONS Small differences in TBW measurement led to significant differences in 2C models. The 5C models partially mitigate differences seen in 2C models when different TBW measures are used. Interchanging TBW measures in multicompartment models can be problematic and should be performed with these considerations.
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Affiliation(s)
- Devon Cataldi
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Jonathan P Bennett
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Brandon K Quon
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Young En Liu
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Department of Metabolism & Body Composition, Baton Rouge, LA, USA
| | | | - John A Shepherd
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, HI, USA
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27
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Rodin D, Shapiro Y, Pinhasov A, Kreinin A, Kirby M. An accurate wearable hydration sensor: Real-world evaluation of practical use. PLoS One 2022; 17:e0272646. [PMID: 36001536 PMCID: PMC9401113 DOI: 10.1371/journal.pone.0272646] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 07/22/2022] [Indexed: 11/18/2022] Open
Abstract
A wearable body hydration sensor employing photoplethysmographic and galvanic biosensors was field evaluated using 240 human participants with equal numbers of men and women volunteers. Monitoring of water mass loss due to perspiration was performed by medical balance measurements following one of two different treadmill physical exercise regimens over 90 minutes in 15-minute intervals with intervening 10-minute rest periods. Participants wore two different models of the dehydration body monitor device mated to commercially-available smartwatches (Samsung Gear S2 and Samsung Gear Fit2). Device output was recorded by Bluetooth wireless link to a standard smartphone in 20-second blocks. Comparison of the devices with the standard measurement method (change in body mass measured by medical balance) indicated very close agreement between changes in body water mass and device output (percent normalized mean root square error averaged approximately 2% for all participants). Bland-Altman analyses of method agreement indicated that <5% of participant values fell outside of the 95% confidence interval limits of agreement and all measured value differences were normally distributed around the line of equality. The results of this first-ever field trial of a practical, wearable hydration monitor suggests that this device will be a reliable tool to aid in geriatric hydration monitoring and physical training scenarios.
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Affiliation(s)
- Dmitry Rodin
- Institute for Personalized and Translational Medicine, Ariel University, Ariel, Israel
| | - Yair Shapiro
- Department of Health Administration and Adelson School of Medicine, Ariel University, Ariel, Israel
| | - Albert Pinhasov
- Department of Molecular Biology and Adelson School of Medicine, Ariel University, Ariel, Israel
| | - Anatoly Kreinin
- Department of Molecular Biology and Adelson School of Medicine, Ariel University, Ariel, Israel
| | - Michael Kirby
- Department of Molecular Biology and Adelson School of Medicine, Ariel University, Ariel, Israel
- * E-mail:
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28
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Zhang X, Yamada Y, Sagayama H, Ainslie PN, Blaak EE, Buchowski MS, Close GL, Cooper JA, Das SK, Dugas LR, Gurven M, El Hamdouchi A, Hu S, Joonas N, Katzmarzyk P, Kraus WE, Kushner RF, Leonard WR, Martin CK, Meijer EP, Neuhouser ML, Ojiambo RM, Pitsiladis YP, Plasqui G, Prentice RL, Racette SB, Ravussin E, Redman LM, Reynolds RM, Roberts SB, Sardinha LB, Silva AM, Stice E, Urlacher SS, Van Mil EA, Wood BM, Murphy-Alford AJ, Loechl C, Luke AH, Rood J, Schoeller DA, Westerterp KR, Wong WW, Pontzer H, Speakman JR. Human total, basal and activity energy expenditures are independent of ambient environmental temperature. iScience 2022; 25:104682. [PMID: 35865134 PMCID: PMC9294192 DOI: 10.1016/j.isci.2022.104682] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/24/2022] [Accepted: 06/23/2022] [Indexed: 11/02/2022] Open
Abstract
Lower ambient temperature (Ta) requires greater energy expenditure to sustain body temperature. However, effects of Ta on human energetics may be buffered by environmental modification and behavioral compensation. We used the IAEA DLW database for adults in the USA (n = 3213) to determine the effect of Ta (-10 to +30°C) on TEE, basal (BEE) and activity energy expenditure (AEE) and physical activity level (PAL). There were no significant relationships (p > 0.05) between maximum, minimum and average Ta and TEE, BEE, AEE and PAL. After adjustment for fat-free mass, fat mass and age, statistically significant (p < 0.01) relationships between TEE, BEE and Ta emerged in females but the effect sizes were not biologically meaningful. Temperatures inside buildings are regulated at 18-25°C independent of latitude. Hence, adults in the US modify their environments to keep TEE constant across a wide range of external ambient temperatures.
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Affiliation(s)
- Xueying Zhang
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Yosuke Yamada
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Hiroyuki Sagayama
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, Japan
| | - Philip N. Ainslie
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
- University of British Columbia, Okanagan Campus School of Health and Exercise Sciences, Faculty of Health and Social Development Kelowna, Kelowna, BC, Canada
| | - Ellen E. Blaak
- Department of Human Biology, Maastricht University, Maastricht, the Netherlands
| | - Maciej S. Buchowski
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Graeme L. Close
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Jamie A. Cooper
- Nutritional Sciences, University of Georgia, Athens, GA, USA
| | - Sai Krupa Das
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, 711 Washington Street, Boston, MA, USA
| | - Lara R. Dugas
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University, Maywood, IL, USA
- Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Michael Gurven
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Asmaa El Hamdouchi
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN- Université Ibn Tofail URAC39, Regional Designated Center of Nutrition Associated with AFRA/IAEA, Rabat, Morocco
| | - Sumei Hu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, National Soybean Processing Industry Technology Innovation Center, Beijing Technology and Business University, Beijing, China
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Noorjehan Joonas
- Central Health Laboratory, Ministry of Health and Wellness, Port Louis, Mauritius
| | | | | | | | | | | | - Erwin P. Meijer
- Department of Human Biology, Maastricht University, Maastricht, the Netherlands
| | - Marian L. Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and School of Public Health, University of Washington, Seattle, WA, USA
| | - Robert M. Ojiambo
- Moi University, Eldoret, Kenya
- University of Global Health Equity, Kigali, Rwanda
| | | | - Guy Plasqui
- Department of Nutrition and Movement Sciences, Maastricht University, Maastricht, the Netherlands
| | - Ross L. Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and School of Public Health, University of Washington, Seattle, WA, USA
| | - Susan B. Racette
- Program in Physical Therapy and Department of Medicine, Washington University School of Medicine, St Louis, MO, USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | | | - Rebecca M. Reynolds
- Centre for Cardiovascular Sciences, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Susan B. Roberts
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, 711 Washington Street, Boston, MA, USA
| | - Luis B. Sardinha
- Exercise and Health Laboratory, CIPER, Department of Sport and Health, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | - Analiza M. Silva
- Exercise and Health Laboratory, CIPER, Department of Sport and Health, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
| | | | - Samuel S. Urlacher
- Department of Anthropology, Baylor University, Waco, TX, USA
- Child and Brain Development Program, CIFAR, Toronto, Canada
| | - Edgar A. Van Mil
- Maastricht University, Maastricht and Lifestyle Medicine Center for Children, Jeroen Bosch Hospital’s-Hertogenbosch, the Netherlands
| | - Brian M. Wood
- University of California Los Angeles, Los Angeles, USA
- Max Planck Institute for Evolutionary Anthropology, Department of Human Behavior, Ecology, and Culture. Leipzig, Germany
| | - Alexia J. Murphy-Alford
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Cornelia Loechl
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Amy H. Luke
- Division of Epidemiology, Department of Public Health Sciences, Loyola University School of Medicine, Maywood, IL, USA
| | - Jennifer Rood
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Dale A. Schoeller
- Biotech Center and Nutritional Sciences University of Wisconsin, Madison, WI, USA
| | | | - William W. Wong
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children’s Nutrition Research Center, Houston, TX, USA
| | - Herman Pontzer
- Evolutionary Anthropology, Duke University, Durham, NC, USA
- Duke Global Health Institute, Duke University, Durham, NC, USA
| | - John R. Speakman
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- CAS Center of Excellence in Animal Evolution and Genetics, Kunming, China
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Maskell PD, Sang KJC, Heymsfield SB, Shapses S, Dekorompay A. Forensic alcohol calculations in transgender individuals undergoing gender-affirming hormonal treatment. J Forensic Sci 2022; 67:1624-1631. [PMID: 35506759 PMCID: PMC9325464 DOI: 10.1111/1556-4029.15052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 04/17/2022] [Accepted: 04/20/2022] [Indexed: 12/01/2022]
Abstract
There are an increasing number of individuals undergoing gender‐affirming hormonal treatment (GAHT) to treat gender dysphoria. Current forensic alcohol calculations require knowledge of the sex of the individual, but this may disadvantage trans people as research has demonstrated that there are physiological changes in individuals who are undergoing GAHT. Using previously published studies on total body water (TBW) in cis individuals, and the known changes in lean body mass and hematocrit in trans individuals, it is possible to estimate TBW in trans individuals and compare them to those cis equation estimations. When using these revised rubrics, we determined that for trans women the use of the cis male anthropometric TBW equation only gives a small underestimation of TBW (0.9%) compared to the underestimation of TBW using the cis female TBW equation (−17.7%). For trans men, the use of the cis female TBW equation gives the largest disadvantage, underestimating TBW by −10.8% compared to the cis male TBW equation, that overestimates TBW by 6.6%. For this reason, we recommend that if the sex at birth of an individual is not known or disclosed, any forensic alcohol calculations in a forensic alcohol reports are made assuming that the gender declared by the individual is their sex at birth. Further research to develop validated anthropometric TBW equations are urgently needed as to not disadvantage trans people when forensic alcohol calculations are carried out.
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Affiliation(s)
- Peter D Maskell
- Forensic Medicine and Science, University of Glasgow, University Place, Glasgow, UK
| | - Katherine J C Sang
- Centre for Research on Employment Work and the professionS (CREWS), Edinburgh Business School, School of Social Sciences, Heriot Watt University, Edinburgh, UK
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Sue Shapses
- Department of Nutritional Sciences, Rutgers University, New Brunswick, New Jersey, USA
| | - Alanna Dekorompay
- Regional Crime Lab, San Diego County Sheriff's Department, San Diego, California, USA
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30
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Relationship between Measured Aerobic Capacity and Total Energy Expenditure Obtained by the Doubly Labeled Water Method in Community-Dwelling, Healthy Adults Aged 81–94 Years. Geriatrics (Basel) 2022; 7:geriatrics7020048. [PMID: 35447851 PMCID: PMC9029020 DOI: 10.3390/geriatrics7020048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 03/23/2022] [Accepted: 04/13/2022] [Indexed: 02/04/2023] Open
Abstract
The doubly labeled water method is a gold-standard method for the measurement of total energy expenditure in daily life. We aimed to identify the relationship between measured aerobic capacity and total energy expenditure, activity energy expenditure, or physical activity level using the doubly labeled water method in adults of advanced old age. A total of 12 physically independent older adults (10 men and 2 women), aged 81–94 years, participated in this study. The aerobic capacity was evaluated according to the lactate threshold. Total energy expenditure under free-living conditions was assessed using the doubly labeled water method, and self-reported physical activity was obtained using the Japanese version of the International Physical Activity Questionnaire. The lactate threshold was significantly positively correlated with total energy expenditure, activity energy expenditure, and physical activity level after adjusting for age and sex. We found that the aerobic capacity of the lactate threshold was positively and independently correlated with total energy expenditure, activity energy expenditure, or physical activity level. The present results suggest that maintaining aerobic capacity is an important factor in preventing frailty, although further research is required.
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31
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Nickerson BS, Narvaez SV, Juarez MI, Czerwinski SA. Effect of total body water estimates via bioimpedance on bod pod-based three-compartment body fat models. Eur J Clin Nutr 2022; 76:581-587. [PMID: 34282292 DOI: 10.1038/s41430-021-00982-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 05/26/2021] [Accepted: 07/05/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND/OBJECTIVES Previous research has compared 2- and 3-compartment (2C and 3C, respectively) models against criterion 4-compartment (4C) models while utilizing the same body density (Db) method for all measures. This design induces an inherent bias and obscures the added benefit of a 3C model over the simpler 2-compartment (2C) models. PURPOSE The purpose of this study was to determine the effect of total body water estimates via single-frequency (SF-BIA) and multi-frequency (MF-BIA) bioimpedance analysis on body fat estimates derived from air displacement plethysmography (ADP)-derived 3C models. SUBJECTS/METHODS A sample of 95 females and 82 males (n = 177) participated in this study. Underwater weighing, dual energy X-ray absorptiometry, and bioimpedance spectroscopy were used to calculate percent fat (%Fat) via a criterion 4C model (4CCRITERION). %Fat was predicted via 3CMFBIA (ADP and MF-BIA), 3CSFBIA (ADP and SF-BIA), and a stand-alone 2-compartment (2C) model, based upon ADP, when using Siri and Brozek body density conversion formulas (2CSIRI and 2CBROZEK. respectively). RESULTS The standard error of estimate (SEE) was lowest for 3CSFBIA when evaluated in females and males (2.72% and 2.31%, respectively) and highest for 2CSIRI (3.98% and 3.84%, respectively). Similarly, the total error (TE) for females and males was lowest for 3CSFBIA (3.21% and 2.67%, respectively) and highest for 2CSIRI (4.58% and 4.48%, respectively) and 2CBROZEK (4.65% and 4.33%, respectively). CONCLUSIONS Results suggest that SF-BIA and MF-BIA can improve the estimation of %Fat, beyond simpler 2C models, when integrated with ADP in a more advanced 3C model. Furthermore, the present study revealed that 3CSFBIA was the best overall prediction model based upon TE values. The current study results support the integration of ADP and bioimpedance technology as part of a 3C model for the improvement of %Fat estimates over simpler 2C models.
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Affiliation(s)
- Brett S Nickerson
- College of Nursing and Health Sciences, Texas A&M International University, Laredo, TX, USA.
| | - Samantha V Narvaez
- College of Nursing and Health Sciences, Texas A&M International University, Laredo, TX, USA
| | - Mitzy I Juarez
- College of Nursing and Health Sciences, Texas A&M International University, Laredo, TX, USA
| | - Stefan A Czerwinski
- School of Health and Rehabilitation Science, College of Medicine, The Ohio State University, Columbus, OH, USA
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32
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Withers PC, Cooper CE, Körtner G, Geiser F. Small Alpine Marsupials Regulate Evaporative Water Loss Suggesting a Thermoregulatory Rather than Water Conservation Role. Physiol Biochem Zool 2022; 95:212-228. [DOI: 10.1086/719735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Cruz Rivera PN, Goldstein RL, Polak M, Lazzari AA, Moy ML, Wan ES. Performance of bioelectrical impedance analysis compared to dual X-ray absorptiometry (DXA) in Veterans with COPD. Sci Rep 2022; 12:1946. [PMID: 35121763 PMCID: PMC8816927 DOI: 10.1038/s41598-022-05887-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 01/18/2022] [Indexed: 12/23/2022] Open
Abstract
We examined the performance of a commercially-available handheld bioimpedance (BIA) device relative to dual X-ray absorptiometry (DXA) to assess body composition differences among Veterans with chronic obstructive pulmonary disease (COPD). Body composition was measured using DXA and BIA (Omron HBF-306C) at a single time point. Correlations between BIA- and DXA-assessed percent fat, fat mass, and fat-free mass were analyzed using Spearman (ρ) and Lin Concordance Correlation Coefficients (ρc). Mean differences in fat mass were visualized using Bland–Altman plots. Subgroup analyses by obesity status (BMI < 30 versus ≥ 30) were performed. Among 50 participants (96% male; mean age: 69.5 ± 6.0 years), BIA-assessed fat mass was strongly correlated (ρ = 0.94) and demonstrate excellent concordance (ρc = 0.95, [95%CI: 0.93–0.98]) with DXA, with a mean difference of 2.7 ± 3.2 kg between BIA and DXA. Although Spearman correlations between BIA- and DXA-assessed percent fat and fat-free mass were strong (ρ = 0.8 and 0.91, respectively), concordance values were only moderate (ρc = 0.67 and 0.74, respectively). Significantly stronger correlations were observed for obese relative to non-obese subjects for total percent fat (ρobese = 0.85 versus ρnon-obese = 0.5) and fat mass (ρobese = 0.96 versus ρnon-obese = 0.84). A handheld BIA device demonstrated high concordance with DXA for fat mass and moderate concordance for total percent fat and fat-free mass. ClinicalTrials.gov: NCT02099799.
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Affiliation(s)
- Paola N Cruz Rivera
- Pulmonary, Allergy, Sleep and Critical Care Medicine Section, VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, Boston, MA, 02132, USA
| | - Rebekah L Goldstein
- Pulmonary, Allergy, Sleep and Critical Care Medicine Section, VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, Boston, MA, 02132, USA
| | - Madeline Polak
- Pulmonary, Allergy, Sleep and Critical Care Medicine Section, VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, Boston, MA, 02132, USA
| | - Antonio A Lazzari
- Primary Care and Rheumatology Sections, VA Boston Healthcare System, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Boston University School of Medicine, Boston, MA, USA
| | - Marilyn L Moy
- Pulmonary, Allergy, Sleep and Critical Care Medicine Section, VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, Boston, MA, 02132, USA.,Harvard Medical School, Boston, MA, USA
| | - Emily S Wan
- Pulmonary, Allergy, Sleep and Critical Care Medicine Section, VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, Boston, MA, 02132, USA. .,Harvard Medical School, Boston, MA, USA. .,Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
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Stagi S, Silva AM, Jesus F, Campa F, Cabras S, Earthman CP, Marini E. Usability of classic and specific bioelectrical impedance vector analysis in measuring body composition of children. Clin Nutr 2022; 41:673-679. [PMID: 35151123 DOI: 10.1016/j.clnu.2022.01.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 01/21/2022] [Accepted: 01/21/2022] [Indexed: 11/27/2022]
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Willis EA, Creasy SA, Saint-Maurice PF, Keadle SK, Pontzer H, Schoeller D, Troiano RP, Matthews CE. Physical Activity and Total Daily Energy Expenditure in Older US Adults: Constrained versus Additive Models. Med Sci Sports Exerc 2022; 54:98-105. [PMID: 34334719 PMCID: PMC8678174 DOI: 10.1249/mss.0000000000002759] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
PURPOSE This study aimed to examine the shape of the relationship between physical activity (PA) and total energy expenditure (TEE) and to explore the role of energy balance status (negative, stable, positive) in influencing this association. METHODS Cross-sectional. Participants were 584 older adults (50-74 yr) participating in the Interactive Diet and Activity Tracking in AARP study. TEE was assessed by doubly labeled water and PA by accelerometer. The relationship between PA and TEE was assessed visually and using nonlinear methods (restricted cubic splines). Percent weight change (>3%) over a 6-month period was used as a proxy measurement of energy balance status. RESULTS TEE generally increased with increasing deciles of PA averaging 2354 (SD, 351) kcal·d-1 in the bottom decile to 2693 (SD, 480) kcal·d-1 in the top decile. Cubic spline models showed an approximate linear association between PA and TEE (linear relation, P < 0.0001; curvature, P = 0.920). Results were similar in subgroup analyses for individuals classified as stable or positive energy balance. For those in negative energy balance, TEE was generally flat with increasing deciles of PA averaging 2428 (SD, 285) kcal·d-1 in the bottom decile to 2372 (SD, 560) kcal·d-1 in the top decile. CONCLUSIONS Energy balance status seems to play an important role in the relationship between PA and TEE. When in a positive energy balance, the relationship between TEE and PA was consistent with an additive model; however, when energy balance was negative, TEE seems to be consistent with a constrained model. These findings support PA for weight gain prevention by increasing TEE; however, the effect of PA on TEE during periods of weight loss may be limited. An adequately powered, prospective study is warranted to confirm these exploratory findings.
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Affiliation(s)
- Erik A. Willis
- Center for Health Promotion Disease Prevention, University of North Carolina-Chapel Hill, Chapel Hill, NC
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, NC
| | - Seth A. Creasy
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
- Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Pedro F. Saint-Maurice
- Division of Epidemiology and Genetics, Metabolic Epidemiology Branch, National Cancer Institute, Bethesda, MD
| | - Sarah Kozey Keadle
- Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA
| | - Hermann Pontzer
- Department of Evolutionary Anthropology, Duke University, Durham, NC
- Duke Global Health Institute, Duke University, Durham, NC
| | - Dale Schoeller
- Nutritional Sciences, University of Wisconsin-Madison, Madison, WI
| | - Richard P. Troiano
- Risk Factor Assessment Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD
| | - Charles E. Matthews
- Division of Epidemiology and Genetics, Metabolic Epidemiology Branch, National Cancer Institute, Bethesda, MD
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Hopkins M, Casanova N, Finlayson G, Stubbs RJ, Blundell JE. Fat-Free Mass and Total Daily Energy Expenditure Estimated using Doubly Labelled Water Predict Energy Intake in a Large Sample of Community-Dwelling Older Adults. J Nutr 2021; 152:971-980. [PMID: 36967187 DOI: 10.1093/jn/nxab434] [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: 10/25/2021] [Revised: 11/16/2021] [Accepted: 12/20/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Up to 30% of community-based older adults report reduced appetite and energy intake (EI), but previous research examining the underlying physiological mechanisms have focused on the mechanisms that suppress eating rather than the hunger drive and EI. OBJECTIVE To examine the associations between fat-free mass (FFM), physical activity (PA), total daily energy expenditure (TDEE) and self-reported EI in older adults. METHODS The present study was a secondary analysis of The Interactive Diet and Activity Tracking in AARP Study. Body composition (deuterium dilution), PA (accelerometry) and TDEE (doubly labelled water) were measured in 590 older adults (age = 63.1 ± 5.9 years; BMI = 28.1 ± 4.9 kg/m2). Total daily EI was estimated from a single 24-hour dietary recall (EIsingle; ± one month of PA and TDEE measurement) and the mean of up to six recalls over a 12-month period (EImean), with mis-reporters classified using the 95% confidence intervals between EImean and TDEE. RESULTS After controlling for age and sex, linear regression demonstrated that FFM and TDEE predicted EI when estimated from a single 24-hour dietary recall (p < 0.05), the mean of up to six dietary recalls (p < 0.05) and after the removal of those classified as under-reporters (p < 0.001). Age moderated the associations between FFM and EIsingle (p < 0.001), FFM and EImean (p < 0.001), and TDEE with EIsingle (p = 0.016), with associations becoming weaker across age quintiles. CONCLUSIONS These data suggest that total daily EI is proportional to FFM and TDEE, but not fat mass, in older adults. These associations may reflect an underling drive to eat that influences daily food intake. While the associations between FFM or TDEE and EI existed across all age quintiles, these associations weakened with increasing age. TRIAL REGISTRATION The Interactive Diet and Activity Tracking in AARP (IDATA) Study was registered at clinicaltrials.gov as: NCT03268577 (http://www.clinicaltrials.gov).
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Affiliation(s)
- Mark Hopkins
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
| | - Nuno Casanova
- KinesioLab, Research Unit in Human Movement Analysis, Piaget Instituto, Almada, Portugal
| | - Graham Finlayson
- School of Psychology, Appetite and Energy Balance Research Group, Faculty of Medicine and Health, University of Leeds, Leeds, United Kingdom
| | - R James Stubbs
- School of Psychology, Appetite and Energy Balance Research Group, Faculty of Medicine and Health, University of Leeds, Leeds, United Kingdom
| | - John E Blundell
- School of Psychology, Appetite and Energy Balance Research Group, Faculty of Medicine and Health, University of Leeds, Leeds, United Kingdom
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Katsura N, Yamashita M, Ishihara T. Extracellular water to total body water ratio may mediate the association between phase angle and mortality in patients with cancer cachexia: A single-center, retrospective study. Clin Nutr ESPEN 2021; 46:193-199. [PMID: 34857195 DOI: 10.1016/j.clnesp.2021.10.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 10/05/2021] [Accepted: 10/11/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND & AIMS Recently, prognostic factors for cancer cachexia patients have been reported. We hypothesized that phase angle (PhA), which is measured by bioelectrical impedance analysis (BIA), might be a promising marker for assessing the nutritional status and prognosis of cancer patients. This study aimed to evaluate the predictive utility of PhA, which is mediated by several BIA factors and other anthropometric parameters, such as calf circumference, for the prognosis of cancer cachexia patients. METHODS Consecutive patients (114, both outpatients and inpatients) with an unselected stage of cancer cachexia were recruited between July 2018 and December 2019 in Fujita Health University Hospital for this retrospective cohort study. Their mean age was 74.0 years (standard deviation, 8.5); among the total, 70 were men and 44 women. A time-dependent Cox proportional-hazards regression analysis (adjusted for age and sex) was performed to assess the following: 1) the association between potential mediators and mortality; 2) the association between five PhAs and statistically significant mediators from 1); and 3) the association between the five PhAs and mortality. Finally, Kaplan-Meier survival curves were constructed and compared between the two groups based on the patients' median baseline ratio of extracellular water (ECW) to total body water (TBW) using a log-rank test. RESULTS The ECW/TBW ratio (hazard ratio [HR] per 1-interquartile range [IQR] increase: 2.87; 95% confidence interval [CI]: 1.46, 5.46; p < 0.001) and skeletal muscle mass index (HR per 1-IQR increase: 0.67; 95% CI: 0.51, 0.89; p = 0.001) were associated with mortality. All five PhAs were associated with the ECW/TBW ratio (p < 0.001). Before adjustment for the ECW/TBW ratio, all five PhAs were associated with mortality (p < 0.001); only the association of the PhAs of the left arm and the trunk retained the statistical significance after adjusting for confounders (p < 0.05). The median survival times in the low (370 days; 95% CI: 168, not calculated) and high ECW/TBW groups (101 days; 95% CI: 61, 219) differed significantly (p < 0.001). CONCLUSIONS The association between PhA and mortality in cancer cachexia patients was largely mediated by the ECW/TBW ratio. We believe that adjusting PhA for the ECW/TBW ratio may improve the prognostication of cancer patients with cachexia, ultimately improving their palliative care.
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Affiliation(s)
- Nagato Katsura
- Department of Surgery and Palliative Care, Fujita Health University, 1-98 Dengakugakubo, Toyoake, Aichi, 470-1192, Japan.
| | - Michinori Yamashita
- Department of Surgery and Palliative Care, Fujita Health University, 1-98 Dengakugakubo, Toyoake, Aichi, 470-1192, Japan.
| | - Takuma Ishihara
- Innovative and Clinical Research Promotion Center, Gifu University Hospital, Gifu University, 1-1 Yanagido, Gifu City, Gifu, 501-1194, Japan.
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Sciacchitano S, Capalbo C, Napoli C, Negro A, De Biase L, Marcolongo A, Anibaldi P, Salvati V, Petrella L, Merlo L, Alampi D, Alessandri E, Loffredo C, Ulivieri A, Lavra L, Magi F, Morgante A, Salehi LB, De Vitis C, Mancini R, Coluzzi F, Rocco M. Nonthyroidal illness syndrome (NTIS) in severe COVID-19 patients: role of T3 on the Na/K pump gene expression and on hydroelectrolytic equilibrium. J Transl Med 2021; 19:491. [PMID: 34861865 PMCID: PMC8640710 DOI: 10.1186/s12967-021-03163-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 11/23/2021] [Indexed: 12/27/2022] Open
Abstract
Background Nonthyroidal Illness Syndrome (NTIS) can be detected in many critical illnesses. Recently, we demonstrated that this condition is frequently observed in COVID-19 patients too and it is correlated with the severity the disease. However, the exact mechanism through which thyroid hormones influence the course of COVID-19, as well as that of many other critical illnesses, is not clear yet and treatment with T4, T3 or a combination of both is still controversial. Aim of this study was to analyze body composition in COVID-19 patients in search of possible correlation with the thyroid function. Methods and findings We report here our experience performed in 74 critically ill COVID-19 patients hospitalized in the intensive care unit (ICU) of our University Hospital in Rome. In these patients, we evaluated the thyroid hormone function and body composition by Bioelectrical Impedance Analysis (BIA) during the acute phase of the disease at admission in the ICU. To examine the effects of thyroid function on BIA parameters we analyzed also 96 outpatients, affected by thyroid diseases in different functional conditions. We demonstrated that COVID-19 patients with low FT3 serum values exhibited increased values of the Total Body Water/Free Fat Mass (TBW/FFM) ratio. Patients with the lowest FT3 serum values had also the highest level of TBW/FFM ratio. This ratio is an indicator of the fraction of FFM as water and represents one of the best-known body-composition constants in mammals. We found an inverse correlation between FT3 serum values and this constant. Reduced FT3 serum values in COVID-19 patients were correlated with the increase in the total body water (TBW), the extracellular water (ECW) and the sodium/potassium exchangeable ratio (Nae:Ke), and with the reduction of the intracellular water (ICW). No specific correlation was observed in thyroid patients at different functional conditions between any BIA parameters and FT3 serum values, except for the patient with myxedema, that showed a picture similar to that seen in COVID-19 patients with NTIS. Since the Na+/K+ pump is a well-known T3 target, we measured the mRNA expression levels of the two genes coding for the two major isoforms of this pump. We demonstrated that COVID-19 patients with NTIS had lower levels of mRNA of both genes in the peripheral blood mononuclear cells (PBMC)s obtained from our patients during the acute phase of the disease. In addition, we retrieved data from transcriptome analysis, performed on human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM)s treated with T3 and we demonstrated that in these cells T3 is able to stimulate the expression of these two genes in a dose-dependent manner. Conclusions In conclusion, we demonstrated that measurement of BIA parameters is a useful method to analyze water and salt retention in COVID-19 patients hospitalized in ICU and, in particular, in those that develop NTIS. Our results indicate that NTIS has peculiar similarities with myxedema seen in severe hypothyroid patients, albeit it occurs more rapidly. The Na+/K+ pump is a possible target of T3 action, involved in the pathogenesis of the anasarcatic condition observed in our COVID-19 patients with NTIS. Finally, measurement of BIA parameters may represent good endpoints to evaluate the benefit of future clinical interventional trials, based on the administration of T3 in patients with NTIS.
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Affiliation(s)
- Salvatore Sciacchitano
- Department of Clinical and Molecular Medicine, Sapienza University, Viale Regina Elena n. 324, 00161, Rome, Italy. .,Laboratory of Biomedical Research, Niccolò Cusano University Foundation, Rome, Italy.
| | - Carlo Capalbo
- Department of Medical Oncology, Sant'Andrea University Hospital, 00189, Rome, Italy.,Department of Molecular Medicine, Sapienza University, Rome, Italy
| | - Christian Napoli
- Department of Clinical and Surgical Translational Medicine, Sapienza University, Rome, Italy
| | - Andrea Negro
- Department of Clinical and Molecular Medicine, Sapienza University, Viale Regina Elena n. 324, 00161, Rome, Italy
| | - Luciano De Biase
- Heart Failure Unit, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | | | - Paolo Anibaldi
- Health Management Director, Sant'Andrea Hospital, Rome, Italy
| | - Valentina Salvati
- Scientific Direction, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Lea Petrella
- Department of Methods and Models for Economics, Territory and Finance (MEMOTEF), Sapienza University of Rome, Rome, Italy
| | - Luca Merlo
- Department of Statistical Sciences, Sapienza University of Rome, Rome, Italy
| | - Daniela Alampi
- Department of Clinical and Surgical Translational Medicine, Sapienza University, Rome, Italy.,Unit of Anesthesia, Intensive Care and Pain Medicine, Sant'Andrea University Hospital, Rome, Italy
| | - Elisa Alessandri
- Unit of Anesthesia, Intensive Care and Pain Medicine, Sant'Andrea University Hospital, Rome, Italy
| | - Chiara Loffredo
- Unit of Anesthesia, Intensive Care and Pain Medicine, Sant'Andrea University Hospital, Rome, Italy
| | - Alessandra Ulivieri
- Laboratory of Biomedical Research, Niccolò Cusano University Foundation, Rome, Italy
| | - Luca Lavra
- Laboratory of Biomedical Research, Niccolò Cusano University Foundation, Rome, Italy
| | - Fiorenza Magi
- Laboratory of Biomedical Research, Niccolò Cusano University Foundation, Rome, Italy
| | - Alessandra Morgante
- Laboratory of Biomedical Research, Niccolò Cusano University Foundation, Rome, Italy
| | - Leila B Salehi
- Laboratory of Biomedical Research, Niccolò Cusano University Foundation, Rome, Italy.,U.O.C. of Medical Genetics, Policlinic of Tor Vergata, Rome, Italy
| | - Claudia De Vitis
- Department of Clinical and Molecular Medicine, Sapienza University, Viale Regina Elena n. 324, 00161, Rome, Italy
| | - Rita Mancini
- Department of Clinical and Molecular Medicine, Sapienza University, Viale Regina Elena n. 324, 00161, Rome, Italy
| | - Flaminia Coluzzi
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - Monica Rocco
- Department of Clinical and Surgical Translational Medicine, Sapienza University, Rome, Italy.,Unit of Anesthesia, Intensive Care and Pain Medicine, Sant'Andrea University Hospital, Rome, Italy
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Murhima’Alika CC, Balemba GM, Lyabayungu PMB, Mulume’oderhwa GM, Munthali G, Owino V, Tambwe AM, Dramaix M, Donnen P, Balaluka GB. Human Milk output among mothers previously treated for severe acute malnutrition in childhood in Democratic Republic of Congo. BMC Nutr 2021; 7:61. [PMID: 34689835 PMCID: PMC8543795 DOI: 10.1186/s40795-021-00467-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 07/15/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Malnutrition is a public health problem, as wasting affects 7.5% of children worldwide. The harmful effects of severe acute malnutrition (SAM) can last a lifetime, but how SAM in childhood affects later breastfeeding ability is not clear. In the present study, we assessed the human milk output and body composition among mothers with a history of childhood SAM. METHODS This retrospective cohort study was carried out in Miti-Murhesa Health Zone (Democratic Republic of Congo) from January 15 to March 17, 2020. We selected lactating mothers with breastfed infants aged 2-12 months. Two categories of mothers were included: those who had been treated for SAM during their childhood (years 1988-2003; n = 39) and a community control with no history of SAM (n = 40). The weight, height, and mid-upper arm circumference were measured and body mass index (BMI) calculated as weight/height2. Body composition and human milk output were assessed using standard deuterium dilution methods. Student t and chi2 tests ware applied to compare two groups. RESULTS The mean age ± standard deviation of the mothers was 24.4 ± 5.1 and 26.0 ± 6.1 years for the SAM and control groups, respectively (p = 0.186). The age of their infants was 5.4 ± 2.3 months in both groups (p = 0.962). In the SAM and control groups, the mean maternal BMI was 23.8 ± 2.3 and 23.6 ± 3.7 kg/m2 (p = 0.849), mean Fat Mass 27.1% ± 5.0 and 27.1% ± 5.8% (p = 0.708), and the mean Fat Free mass 72.9% ± 5.0 and 72.9% ± 5.8% (p = 0.998), respectively. Human milk output was 833.7 ± 152.1 g/d in SAM group and 827.4 ± 171.4 g/d in the control group (p = 0.864). CONCLUSIONS We found no significant difference in human milk output and body composition in mothers treated for SAM during childhood compared to community controls.
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Affiliation(s)
- Christine Chimanuka Murhima’Alika
- Ecole Régionale de Santé Publique, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo
- Centre de Recherche en Sciences Naturelles de Lwiro, Lwiro, Democratic Republic of Congo
| | - Ghislain Maheshe Balemba
- Ecole Régionale de Santé Publique, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo
- Faculty of Medicine, Hôpital Provincial Général de Référence de Bukavu, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo
| | - Pacifique Mwene-Batu Lyabayungu
- Ecole Régionale de Santé Publique, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo
- Centre de Recherche en Sciences Naturelles de Lwiro, Lwiro, Democratic Republic of Congo
- Faculty of Medicine, Hôpital Provincial Général de Référence de Bukavu, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo
- Ecole de Santé Publique, Université Libre de Bruxelles, Brussels, Belgium
| | - Guy Mulinganya Mulume’oderhwa
- Faculty of Medicine, Hôpital Provincial Général de Référence de Bukavu, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo
| | - Grace Munthali
- National Institute for Scientific and Industrial Research of Zambia (NISIR), Lusaka, Zambia
| | - Victor Owino
- Nutritional and Health Related Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Albert Mwembwo Tambwe
- Ecole de Santé Publique de l’Université de Lubumbashi, Lubumbashi, Democratic Republic of Congo
| | - Michèle Dramaix
- Ecole de Santé Publique, Université Libre de Bruxelles, Brussels, Belgium
| | - Philippe Donnen
- Ecole de Santé Publique, Université Libre de Bruxelles, Brussels, Belgium
| | - Ghislain Bisimwa Balaluka
- Ecole Régionale de Santé Publique, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo
- Centre de Recherche en Sciences Naturelles de Lwiro, Lwiro, Democratic Republic of Congo
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Careau V, Halsey LG, Pontzer H, Ainslie PN, Andersen LF, Anderson LJ, Arab L, Baddou I, Bedu-Addo K, Blaak EE, Blanc S, Bonomi AG, Bouten CVC, Buchowski MS, Butte NF, Camps SGJA, Close GL, Cooper JA, Das SK, Cooper R, Dugas LR, Eaton SD, Ekelund U, Entringer S, Forrester T, Fudge BW, Goris AH, Gurven M, Hambly C, El Hamdouchi A, Hoos MB, Hu S, Joonas N, Joosen AM, Katzmarzyk P, Kempen KP, Kimura M, Kraus WE, Kushner RF, Lambert EV, Leonard WR, Lessan N, Martin CK, Medin AC, Meijer EP, Morehen JC, Morton JP, Neuhouser ML, Nicklas TA, Ojiambo RM, Pietiläinen KH, Pitsiladis YP, Plange-Rhule J, Plasqui G, Prentice RL, Rabinovich RA, Racette SB, Raichlen DA, Ravussin E, Reilly JJ, Reynolds RM, Roberts SB, Schuit AJ, Sjödin AM, Stice E, Urlacher SS, Valenti G, Van Etten LM, Van Mil EA, Wells JCK, Wilson G, Wood BM, Yanovski J, Yoshida T, Zhang X, Murphy-Alford AJ, Loechl CU, Luke AH, Rood J, Sagayama H, Schoeller DA, Wong WW, Yamada Y, Speakman JR. Energy compensation and adiposity in humans. Curr Biol 2021; 31:4659-4666.e2. [PMID: 34453886 PMCID: PMC8551017 DOI: 10.1016/j.cub.2021.08.016] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 06/30/2021] [Accepted: 08/04/2021] [Indexed: 12/26/2022]
Abstract
Understanding the impacts of activity on energy balance is crucial. Increasing levels of activity may bring diminishing returns in energy expenditure because of compensatory responses in non-activity energy expenditures.1-3 This suggestion has profound implications for both the evolution of metabolism and human health. It implies that a long-term increase in activity does not directly translate into an increase in total energy expenditure (TEE) because other components of TEE may decrease in response-energy compensation. We used the largest dataset compiled on adult TEE and basal energy expenditure (BEE) (n = 1,754) of people living normal lives to find that energy compensation by a typical human averages 28% due to reduced BEE; this suggests that only 72% of the extra calories we burn from additional activity translates into extra calories burned that day. Moreover, the degree of energy compensation varied considerably between people of different body compositions. This association between compensation and adiposity could be due to among-individual differences in compensation: people who compensate more may be more likely to accumulate body fat. Alternatively, the process might occur within individuals: as we get fatter, our body might compensate more strongly for the calories burned during activity, making losing fat progressively more difficult. Determining the causality of the relationship between energy compensation and adiposity will be key to improving public health strategies regarding obesity.
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Affiliation(s)
- Vincent Careau
- Department of Biology, University of Ottawa, Ottawa, ON, Canada.
| | - Lewis G Halsey
- School of Life and Health Sciences, University of Roehampton, London, UK.
| | - Herman Pontzer
- Evolutionary Anthropology, Duke University, Durham, NC, USA; Duke Global Health Institute, Duke University, Durham, NC, USA.
| | - Philip N Ainslie
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Lene F Andersen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, 0317 Oslo, Norway
| | | | - Lenore Arab
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Issad Baddou
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN, Université Ibn Tofail URAC39, Regional Designated Center of Nutrition Associated with AFRA/IAEA, Kénitra, Morocco
| | - Kweku Bedu-Addo
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Stephane Blanc
- Nutritional Sciences, University of Georgia, Athens, GA, USA; Institut Pluridisciplinaire Hubert Curien, CNRS Université de Strasbourg, Strasbourg UMR7178, France
| | | | - Carlijn V C Bouten
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Maciej S Buchowski
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Nancy F Butte
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA
| | | | - Graeme L Close
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Jamie A Cooper
- Nutritional Sciences, University of Georgia, Athens, GA, USA
| | - Sai Krupa Das
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, MA 02111, USA
| | - Richard Cooper
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University, Maywood, IL, USA
| | - Lara R Dugas
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University, Maywood, IL, USA; Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Simon D Eaton
- Developmental Biology & Cancer Department, University College London, London, UK
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Sonja Entringer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany; University of California, Irvine, Irvine, CA, USA
| | - Terrence Forrester
- Solutions for Developing Countries, University of the West Indies, Mona, Kingston, Jamaica
| | | | | | - Michael Gurven
- Department of Anthropology, University of California, Santa Barbara, Santa Barbara, CA, USA
| | - Catherine Hambly
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
| | - Asmaa El Hamdouchi
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN, Université Ibn Tofail URAC39, Regional Designated Center of Nutrition Associated with AFRA/IAEA, Kénitra, Morocco
| | | | - Sumei Hu
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Noorjehan Joonas
- Central Health Laboratory, Ministry of Health and Wellness, Port Louis, Mauritius
| | | | | | | | - Misaka Kimura
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | | | | | - Estelle V Lambert
- Health through Physical Activity, Lifestyle and Sport Research Centre (HPALS), FIMS International Collaborating Centre of Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - William R Leonard
- Department of Anthropology, Northwestern University, Evanston, IL, USA
| | - Nader Lessan
- Imperial College London Diabetes Centre, Abu Dhabi, UAE, Imperial College London, London, UK
| | - Corby K Martin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Anine C Medin
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, 0317 Oslo, Norway; Department of Nutrition and Public Health, Faculty of Health and Sport Sciences, University of Agder, 4630 Kristiansand, Norway
| | | | - James C Morehen
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK; The FA Group, Burton-Upon-Trent, Staffordshire, UK
| | - James P Morton
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center and School of Public Health, University of Washington, Seattle, WA, USA
| | - Theresa A Nicklas
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA
| | - Robert M Ojiambo
- Moi University, Eldoret, Kenya; University of Global Health Equity, Kigali, Rwanda
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki and Obesity Center, Abdominal Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | | | - Jacob Plange-Rhule
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Guy Plasqui
- Department of Nutrition and Movement Sciences, Maastricht University, Maastricht, the Netherlands
| | - Ross L Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center and School of Public Health, University of Washington, Seattle, WA, USA
| | | | - Susan B Racette
- Program in Physical Therapy and Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - David A Raichlen
- Biological Sciences and Anthropology, University of Southern California, Los Angeles, CA, USA
| | - Eric Ravussin
- Central Health Laboratory, Ministry of Health and Wellness, Port Louis, Mauritius
| | | | - Rebecca M Reynolds
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Susan B Roberts
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, 711 Washington Street, Boston, MA 02111, USA
| | | | - Anders M Sjödin
- Department of Nutrition, Exercise and Sports, Copenhagen University, Copenhagen, Denmark
| | | | | | | | | | - Edgar A Van Mil
- Maastricht University, Maastricht and Lifestyle Medicine Center for Children, Jeroen Bosch Hospital's-Hertogenbosch, Maastricht, the Netherlands
| | - Jonathan C K Wells
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - George Wilson
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Brian M Wood
- University of California, Los Angeles, Los Angeles, USA; Max Planck Institute for Evolutionary Anthropology, Department of Human Behavior, Ecology, and Culture, Leipzig, Germany
| | - Jack Yanovski
- Growth and Obesity, Division of Intramural Research, NIH, Bethesda, MD, USA
| | - Tsukasa Yoshida
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan
| | - Xueying Zhang
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Alexia J Murphy-Alford
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Cornelia U Loechl
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Amy H Luke
- Department of Public Health Sciences, Loyola University Chicago, Maywood, IL, USA.
| | - Jennifer Rood
- Pennington Biomedical Research Center, Baton Rouge, LA, USA.
| | - Hiroyuki Sagayama
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, Japan.
| | - Dale A Schoeller
- Biotech Center and Nutritional Sciences, University of Wisconsin, Madison, WI, USA.
| | - William W Wong
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, USA.
| | - Yosuke Yamada
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan; Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan.
| | - John R Speakman
- Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China; Shenzhen Key Laboratory of Metabolic Health, CAS Center of Excellence in Animal Evolution and Genetics, Kunming, China.
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Markus MRP, Ittermann T, Kim S, Schipf S, Siewert-Markus U, Santana CC, Buchmann N, Völzke H, Bülow R, Felix SB, Bahls M, Steinhagen-Thiessen E, Dörr M. Lower muscular strength is associated with smaller left and right chambers and lower cardiac mass in the general population - The Sedentary's Heart. Prog Cardiovasc Dis 2021; 68:36-51. [PMID: 34562438 DOI: 10.1016/j.pcad.2021.09.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 09/13/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND The cardiac muscle has the ability to adapt to different loading conditions. We analyzed the associations of the age-related decreasing handgrip strength (HGS), a marker of muscular fitness, on cardiac structure and function in a community-based sample. METHODS We performed cross-sectional analyses of 4646 subjects (2554 women; 55.0%) aged 20 to 93 years from two independent cohorts of the Study of Health in Pomerania (SHIP-2 and SHIP-TREND-0). We analyzed the associations of HGS with structural and functional left and right ventricular (LV and RV) and left atrial (LA) parameters as determined by echocardiography and magnetic resonance imaging (MRI) as well with log-transformed NT-proBNP values using multivariable-adjusted linear regression models. RESULTS MRI data showed that a 1 kg lower HGS was associated with a 0.40 mL (95% confidence interval: 0.26 to 0.54; p < 0.001) lower LV end-diastolic volume, a 0.011 mm (0.005 to 0.018; p = 0.001) lower LV wall-thickness, a 0.59 g (0.43 to 0.75; p < 0.001) lower LV mass, a 0.58 mL/beat (0.43 to 0.74; p < 0.001) lower LV stroke volume, a 0.03 L/min (0.02 to 0.04; p < 0.001) lower LV cardiac output, a 0.48 mL (0.27 to 0.68; p < 0.001) lower LA end-diastolic volume, and a 1.02 mL (0.71 to 1.32) lower RV end-diastolic volume. Similar findings were observed for echocardiographic parameters. Moreover, lower HGS was associated with higher echocardiographic LV diastolic stiffness and NT-proBNP levels. CONCLUSIONS In this large population-based sample, lower muscular fitness as assessed by HGS was associated with lower LV wall thickness and mass as well as with smaller chamber size, stroke volume and cardiac output of the LV, LA and RV. Moreover, HGS was inversely related to LV diastolic stiffness and NT-proBNP values. These outcomes might demonstrate the effects of an aging-related decrease in physical activity and lower muscular fitness on the heart - "the sedentary's heart".
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Affiliation(s)
- Marcello Ricardo Paulista Markus
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany; German Center for Diabetes Research (DZD), partner site Greifswald, Greifswald, Germany.
| | - Till Ittermann
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany; Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Simon Kim
- Center for Hand-and Functional Microsurgery, University Medicine Greifswald, Greifswald, Germany
| | - Sabine Schipf
- German Center for Diabetes Research (DZD), partner site Greifswald, Greifswald, Germany; Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Ulrike Siewert-Markus
- Institute for Medical Psychology, University Medicine Greifswald, Greifswald, Germany
| | - Camila Campos Santana
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; Faculty of Medical Sciences of Santos, Santos, Brazil; Faculty of Medical Sciences of Santa Casa of São Paulo, São Paulo, Brazil
| | - Nikolaus Buchmann
- Department of Cardiology, Charité - University Medicine Berlin, Berlin, Germany
| | - Henry Völzke
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany; Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Stephan Burkhard Felix
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
| | - Martin Bahls
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
| | | | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
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Markus MRP, Ittermann T, Drzyzga CJ, Bahls M, Schipf S, Siewert-Markus U, Baumeister SE, Schumacher P, Ewert R, Völzke H, Steinhagen-Thiessen E, Bülow R, Schunkert H, Vasan RS, Felix SB, Dörr M. Cardiac MRI shows an association of lower cardiorespiratory fitness with decreased myocardial mass and higher cardiac stiffness in the general population - The Sedentary's Heart. Prog Cardiovasc Dis 2021; 68:25-35. [PMID: 34537204 DOI: 10.1016/j.pcad.2021.09.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 09/11/2021] [Indexed: 01/09/2023]
Abstract
BACKGROUND The heart has the capacity to adapt to different demands. The pathophysiological mechanisms involved with sedentarism are not fundamentally the opposite of those related with physical activity and regular exercise. We investigated the impact of lower cardiorespiratory fitness (CRF) on heart's plasticity and function in a population-based setting. METHODS We used data from 1165 participants (539 women; 46.3%) aged 21-81 years from two independent cohorts of the Study of Health in Pomerania (SHIP-2 and SHIP-TREND-0). We analyzed the cross-sectional associations of peak oxygen uptake (VO2peak), determined by symptom-limited cardiopulmonary exercise testing, with structural and functional left ventricular (LV) and left atrial (LA) parameters determined by magnetic resonance imaging (MRI) using multivariable- adjusted linear regression models. RESULTS A 1 L/min lower VO2peak was associated with a 10.5 g (95% confidence interval: 8.00 to 12.9; p < 0.001) lower LV mass, a 14.8 mL (10.9 to 18.6; p < 0.001) lower LV end-diastolic volume, a 0.29 mm (0.19 to 0.40; p < 0.001) lower LV wall-thickness, a 8.85 mL/beat (6.53 to 11.2; p < 0.001) lower LV stroke volume, a 0.42 L/min (0.25 to 0.60; p < 0.001) lower LV cardiac output and a 7.51 mL (3.88 to 11.1; p < 0.001) lower LA end-diastolic volume. Moreover, there were no associations with a concentric or eccentric remodeling and LV and LA ejection fraction. CONCLUSIONS Lower CRF was associated with a smaller heart, LV wall-thickness and mass, LV and LA stroke volume and cardiac output. Conversely, there was no association with LA and LV ejection fraction. Our cross-sectional observations are consistent with cardiac adaptations reflecting reduced volume loading demands of a sedentary lifestyle - "the sedentary's heart".
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Affiliation(s)
- Marcello Ricardo Paulista Markus
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany; German Center for Diabetes Research (DZD), partner site Greifswald, Greifswald, Germany.
| | - Till Ittermann
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany; Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christine Julia Drzyzga
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
| | - Martin Bahls
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
| | - Sabine Schipf
- German Center for Diabetes Research (DZD), partner site Greifswald, Greifswald, Germany; Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Ulrike Siewert-Markus
- Institute for Medical Psychology, University Medicine Greifswald, Greifswald, Germany
| | - Sebastian Edgar Baumeister
- Chair of Epidemiology, Ludwig-Maximilians-Universität München at UNIKA-T Augsburg, Augsburg, Germany; Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany; Institute of Health Services Research in Dentistry, University of Münster, Münster, Germany
| | - Paul Schumacher
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Ralf Ewert
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany; Department of Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | - Robin Bülow
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany; Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Heribert Schunkert
- Department of Cardiology, German Heart Centre Munich, Technical University of Munich, Munich, Germany; German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Ramachandran S Vasan
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, USA; Preventive Medicine and Cardiology Sections, Evans Department of Medicine, Boston University School of Medicine, Boston, USA; Department of Epidemiology, Boston University School of Public Health, Boston, USA
| | - Stephan Burkhard Felix
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
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Antonio Paoli A, Mancin L, Caprio M, Monti E, Narici MV, Cenci L, Piccini F, Pincella M, Grigoletto D, Marcolin G. Effects of 30 days of ketogenic diet on body composition, muscle strength, muscle area, metabolism, and performance in semi-professional soccer players. J Int Soc Sports Nutr 2021; 18:62. [PMID: 34530857 PMCID: PMC8447662 DOI: 10.1186/s12970-021-00459-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 08/25/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND A ketogenic diet (KD) is a nutritional approach, usually adopted for weight loss, that restricts daily carbohydrates under 30 g/day. KD showed contradictory results on sport performance, whilst no data are available on team sports. We sought to investigate the influence of a KD on different parameters in semi-professional soccer players. METHODS Subjects were randomly assigned to a iso-protein (1.8 g/Kg body weight/day) ketogenic diet (KD) or western diet (WD) for 30 days. Body weight and body composition, resting energy expenditure (REE), respiratory exchange ratio (RER), cross sectional area (CSA) and isometric muscle strength of quadriceps, counter movement jump (CMJ) and yoyo intermittent recovery test time were measured. RESULTS There was a significantly higher decrease of body fat (p = 0.0359), visceral adipose tissue (VAT) (p = 0.0018), waist circumference (p = 0.0185) and extra-cellular water (p = 0.0060) in KD compared to WD group. Lean soft tissue, quadriceps muscle area, maximal strength and REE showed no changes in both groups. RER decreased significantly in KD (p = 0.0008). Yo-yo intermittent test improved significantly (p < 0.0001) in both groups without significant differences between groups. CMJ significantly improved (p = 0.0021) only in KD. CONCLUSIONS This is the first study investigating the effects of a KD on semi-professional soccer players. In our study KD athletes lost fat mass without any detrimental effects on strength, power and muscle mass. When the goal is a rapid weight reduction in such athletes, the use of a KD should be taken into account. TRIAL REGISTRATION registered retrospectively on Clinical Trial registration number NCT04078971 .
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Affiliation(s)
- A Antonio Paoli
- Department of Biomedical Sciences, University of Padua, Via Marzolo, 3, 35131, Padua, Italy. .,Research Center for High Performance Sport, UCAM, Catholic University of Murcia, 30107, Murcia, Spain. .,Human Inspired Technology Research Center, University of Padua, Padua, Italy.
| | - Laura Mancin
- Department of Biomedical Sciences, University of Padua, Via Marzolo, 3, 35131, Padua, Italy.,Human Inspired Technology Research Center, University of Padua, Padua, Italy
| | - Massimiliano Caprio
- Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, Rome, Italy
| | - Elena Monti
- Department of Biomedical Sciences, University of Padua, Via Marzolo, 3, 35131, Padua, Italy
| | - Marco V Narici
- Department of Biomedical Sciences, University of Padua, Via Marzolo, 3, 35131, Padua, Italy
| | - Lorenzo Cenci
- Human Inspired Technology Research Center, University of Padua, Padua, Italy
| | | | - Matteo Pincella
- Inter FC., Milan, Italy.,FIGC Federazione Italiana Giuoco Calcio (Italian Football Federation), Rome, Italy
| | - Davide Grigoletto
- Department of Biomedical Sciences, University of Padua, Via Marzolo, 3, 35131, Padua, Italy
| | - Giuseppe Marcolin
- Department of Biomedical Sciences, University of Padua, Via Marzolo, 3, 35131, Padua, Italy
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Assessment of aerobic exercise capacity in obesity, which expression of oxygen uptake is the best? SPORTS MEDICINE AND HEALTH SCIENCE 2021; 3:138-147. [PMID: 35784518 PMCID: PMC9219259 DOI: 10.1016/j.smhs.2021.01.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 01/27/2021] [Accepted: 01/30/2021] [Indexed: 11/24/2022] Open
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von Graffenried T, Godin JP, Schoepfer A, Breton I, Martin FP, Nydegger A. Body composition assessment in children with inflammatory bowel disease: A comparison of different methods. J Paediatr Child Health 2021; 57:1414-1419. [PMID: 33847432 DOI: 10.1111/jpc.15491] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/22/2021] [Accepted: 03/30/2021] [Indexed: 01/10/2023]
Abstract
AIM To assess different techniques to measure body composition in paediatric patients with inflammatory bowel disease using dual energy X-ray absorptiometry as a reference method. We hypothesised that a three-compartment model may demonstrate superiority over other methods as skinfold thickness equations and bioelectrical impedance analysis. METHODS Body composition was assessed using skinfold thickness equations, bioelectrical impedance analysis and the three-compartment model. Data obtained with these methods were compared to the results obtained by dual energy X-ray absorptiometry. Statistical analysis was performed using Spearman's correlation and Bland-Altman's limits of agreement method. RESULTS Twenty-one paediatric patients with inflammatory bowel disease were included: 11 females and 10 males; mean age for the entire group: 14.3 years, range 12-16 years. In children with inflammatory bowel disease, skinfold thickness equations, bioelectrical impedance analysis and the three-compartment model showed reliable measurements with small differences in the percentage of total body fat and good limits of agreements. CONCLUSION The assessment of body composition using bioelectrical impedance analysis provides a valid and accurate method in children with inflammatory bowel disease as compared to dual energy X-ray absorptiometry. In the future, superiority of 3-compartment model in research and clinical settings of nutritional intervention and disease status in children with inflammatory bowel disease remains to be demonstrated.
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Affiliation(s)
- Thea von Graffenried
- Pediatric Gastroenterology Unit, Department of Pediatrics, University of Lausanne, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Jean-Philippe Godin
- Nestle Research, Nestlé Institute of Food Safety and Analytical Sciences, Lausanne, Switzerland
| | - Alain Schoepfer
- Division of Gastroenterology and Hepatology, University of Lausanne, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Isabelle Breton
- Nestle Research, Nestlé Institute of Food Safety and Analytical Sciences, Lausanne, Switzerland
| | - Francois-Pierre Martin
- Nestlé Research, Nestlé Institute of Health Sciences, EPFL Innovation Park, Lausanne, Switzerland
| | - Andreas Nydegger
- Pediatric Gastroenterology Unit, Department of Pediatrics, University of Lausanne, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
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Millard-Stafford M, Snow TK, Jones ML, Suh H. The Beverage Hydration Index: Influence of Electrolytes, Carbohydrate and Protein. Nutrients 2021; 13:nu13092933. [PMID: 34578811 PMCID: PMC8465972 DOI: 10.3390/nu13092933] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 08/12/2021] [Accepted: 08/20/2021] [Indexed: 01/21/2023] Open
Abstract
The beverage hydration index (BHI) facilitates a comparison of relative hydration properties of beverages using water as the standard. The additive effects of electrolytes, carbohydrate, and protein on rehydration were assessed using BHI. Nineteen healthy young adults completed four test sessions in randomized order: deionized water (W), electrolytes only (E), carbohydrate-electrolytes (C + E), and 2 g/L dipeptide (alanyl-glutamine)-electrolytes (AG + E). One liter of beverage was consumed, after which urine and body mass were obtained every 60 min through 240 min. Compared to W, BHI was higher (p = 0.007) for C + E (1.15 ± 0.17) after 120 min and for AG + E (p = 0.021) at 240 min (1.15 ± 0.20). BHI did not differ (p > 0.05) among E, C + E, or AG + E; however, E contributed the greatest absolute net effect (>12%) on BHI relative to W. Net fluid balance was lower for W (p = 0.048) compared to C + E and AG + E after 120 min. AG + E and E elicited higher (p < 0.001) overall urine osmolality vs. W. W also elicited greater reports of stomach bloating (p = 0.02) compared to AG + E and C + E. The addition of electrolytes alone (in the range of sports drinks) did not consistently improve BHI versus water; however, the combination with carbohydrate or dipeptides increased fluid retention, although this occurred earlier for the sports drink than the dipeptide beverage. Electrolyte content appears to make the largest contribution in hydration properties of beverages for young adults when consumed at rest.
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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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Oller L, Bennett KA, McKnight JC, Moss SE, Milne R, Hall AJ, Rocha J. Partial pressure of oxygen in adipose tissue and its relationship with fatness in a natural animal model of extreme fat deposition, the grey seal. Physiol Rep 2021; 9:e14972. [PMID: 34409768 PMCID: PMC8374385 DOI: 10.14814/phy2.14972] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 06/24/2021] [Indexed: 12/18/2022] Open
Abstract
Excessive adiposity is associated with altered oxygen tension and comorbidities in humans. In contrast, marine mammals have high adiposity with no apparent detrimental effects. However, partial pressure of oxygen (Po2 ) in their subcutaneous adipose tissue (blubber) and its relationship with fatness have not been reported. We measured Po2 and temperature at different blubber depths in 12 healthy juvenile grey seals. Fatness was estimated from blubber thickness and morphometric parameters. Simultaneously, we monitored breathing pattern; heart rate and arterial blood saturation with a pulse oximeter; and relative changes in total hemoglobin, deoxyhemoglobin, and oxyhemoglobin in blubber capillaries using near-infrared spectroscopy (NIRS) as proxies for local oxygenation changes. Blubber Po2 ranged from 14.5 to 71.4 mmHg (39.2 ± 14.1 mmHg), which is similar to values reported in other species. Blubber Po2 was strongly and negatively associated with fatness (LME: p < 0.0001, R2marginal = 0.53, R2conditional = 0.64, n = 10), but not with blubber depth. No other parameters explained variability in Po2 , suggesting arterial blood and local oxygen delivery did not vary within and between measurements. The fall in blubber Po2 with increased fatness in seals is consistent with other animal models of rapid fat deposition. However, the Po2 levels at which blubber becomes hypoxic and consequences of low blubber Po2 for its health and function, particularly in very fat individuals, remain unknown. How seals avoid detrimental effects of low oxygen tension in adipose tissue, despite their high and fluctuating adiposity, is a fruitful avenue to explore.
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Affiliation(s)
- Laura Oller
- Division of Health SciencesSchool of Applied SciencesAbertay UniversityDundeeUK
| | | | - J. Chris McKnight
- Sea Mammal Research UnitScottish Oceans InstituteUniversity of St AndrewsSt AndrewsUK
| | - Simon E.W. Moss
- Sea Mammal Research UnitScottish Oceans InstituteUniversity of St AndrewsSt AndrewsUK
| | - Ryan Milne
- Sea Mammal Research UnitScottish Oceans InstituteUniversity of St AndrewsSt AndrewsUK
| | - Ailsa J. Hall
- Sea Mammal Research UnitScottish Oceans InstituteUniversity of St AndrewsSt AndrewsUK
| | - Joel Rocha
- Division of Sports and Exercise SciencesSchool of Applied SciencesAbertay UniversityDundeeUK
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Watson LPE, Carr KS, Orford ER, Venables MC. The Importance of Hydration in Body Composition Assessment in Children Aged 6-16 Years. J Clin Densitom 2021; 24:481-489. [PMID: 33454177 PMCID: PMC8354559 DOI: 10.1016/j.jocd.2020.12.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/08/2020] [Accepted: 12/10/2020] [Indexed: 01/02/2023]
Abstract
Body composition is associated with many noncommunicable diseases. The accuracy of many simple techniques used for the assessment of body composition is influenced by the fact that they do not take into account tissue hydration and this can be particularly problematic in paediatric populations. The aims of this study were: (1) to assess the agreement of two dual energy X-ray absorptiometry (DXA) systems for determining total and regional (arms, legs, trunk) fat, lean, and bone mass and (2) to compare lean soft tissue (LST) hydration correction methods in children. One hundred and twenty four healthy children aged between 6 and 16 years old underwent DXA scans using 2 GE healthcare Lunar systems (iDXA and Prodigy). Tissue hydration was either calculated by dividing total body water (TBW), by 4-component model derived fat free mass (HFFMTBW) or by using the age and sex specific coefficients of Lohman, 1986 (HFFMLohman) and used to correct LST. Regression analysis was performed to develop cross-calibration equations between DXA systems and a paired samples t-test was conducted to assess the difference between LST hydration correction methods. iDXA resulted in significantly lower estimates of total and regional fat and lean mass, compared to Prodigy. HFFMTBW showed a much larger age/sex related variability than HFFMLohman. A 2.0 % difference in LST was observed in the boys (34.5 kg vs 33.8 kg respectively, p < 0.05) and a 2.5% difference in the girls (28.2 kg vs 27.5 kg respectively, p < 0.05) when corrected using either HFFMTBW or HFFMLohman. Care needs to be exercised when combining data from iDXA and Prodigy, as total and regional estimates of body composition can differ significantly. Furthermore, tissue hydration should be taken into account when assessing body composition as it can vary considerably within a healthy paediatric population even within specific age and/or sex groups.
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Affiliation(s)
- Laura P E Watson
- National Institute Health Research Cambridge Clinical Research Facility, Addenbrooke's Hospital, Cambridge, United Kingdom.
| | - Katherine S Carr
- National Institute Health Research Cambridge Clinical Research Facility, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Elise R Orford
- Stable Isotope Laboratory, National Institute for Health Research Cambridge Biomedical Research Centre Nutritional Biomarker Laboratory, MRC Epidemiology Unit and Wellcome-MRC Institute of Metabolic Science, Metabolic Research Laboratories, University of Cambridge, Cambridge, United Kingdom
| | - Michelle C Venables
- Stable Isotope Laboratory, National Institute for Health Research Cambridge Biomedical Research Centre Nutritional Biomarker Laboratory, MRC Epidemiology Unit and Wellcome-MRC Institute of Metabolic Science, Metabolic Research Laboratories, University of Cambridge, Cambridge, United Kingdom
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Coleman JL, Carrigan CT, Margolis LM. Body composition changes in physically active individuals consuming ketogenic diets: a systematic review. J Int Soc Sports Nutr 2021; 18:41. [PMID: 34090453 PMCID: PMC8180141 DOI: 10.1186/s12970-021-00440-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 05/11/2021] [Indexed: 12/28/2022] Open
Abstract
Background To achieve ideal strength/power to mass ratio, athletes may attempt to lower body mass through reductions in fat mass (FM), while maintaining or increasing fat-free mass (FFM) by manipulating their training regimens and diets. Emerging evidence suggests that consumption of high-fat, ketogenic diets (KD) may be advantageous for reducing body mass and FM, while retaining FFM. Methods A systematic review of the literature was conducted using PubMed and Cochrane Library databases to compare the effects of KD versus control diets (CON) on body mass and composition in physically active populations. Randomized and non-randomized studies were included if participants were healthy (free of chronic disease), physically active men or women age ≥ 18 years consuming KD (< 50 g carbohydrate/d or serum or whole blood β-hydroxybutyrate (βhb) > 0.5 mmol/L) for ≥14 days. Results Thirteen studies (9 parallel and 4 crossover/longitudinal) that met the inclusion criteria were identified. Aggregated results from the 13 identified studies show body mass decreased 2.7 kg in KD and increased 0.3 kg in CON. FM decreased by 2.3 kg in KD and 0.3 kg in CON. FFM decreased by 0.3 kg in KD and increased 0.7 kg in CON. Estimated energy balance based on changes in body composition was − 339 kcal/d in KD and 5 kcal/d in CON. Risk of bias identified some concern of bias primarily due to studies which allowed participants to self-select diet intervention groups, as well as inability to blind participants to the study intervention, and/or longitudinal study design. Conclusion KD can promote mobilization of fat stores to reduce FM while retaining FFM. However, there is variance in results of FFM across studies and some risk-of-bias in the current literature that is discussed in this systematic review. Supplementary Information The online version contains supplementary material available at 10.1186/s12970-021-00440-6.
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Affiliation(s)
- Julie L Coleman
- U.S. Army Research Institute of Environmental Medicine, 10 General Greene Ave, Building 42, Natick, MA, 01760, USA.,Oak Ridge Institute of Science and Education, Belcamp, MD, USA
| | - Christopher T Carrigan
- U.S. Army Research Institute of Environmental Medicine, 10 General Greene Ave, Building 42, Natick, MA, 01760, USA
| | - Lee M Margolis
- U.S. Army Research Institute of Environmental Medicine, 10 General Greene Ave, Building 42, Natick, MA, 01760, USA.
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