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Madlala HP, Myer L, Geffen H, Meyer D, Mendham AE, Goedecke JH, Bengtson AM, Jao J, Dugas LR. Measurement of body composition in postpartum South African women living with and without HIV infection. Front Nutr 2024; 11:1280425. [PMID: 38385007 PMCID: PMC10879415 DOI: 10.3389/fnut.2024.1280425] [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: 08/20/2023] [Accepted: 01/22/2024] [Indexed: 02/23/2024] Open
Abstract
Background While several methodologies are available to measure adiposity, few have been validated in sub-Saharan African (SSA) and none in postpartum African women living with HIV (WLHIV). We compared bioelectrical impendence analysis (BIA) and air displacement plethysmography (ADP) against dual x-ray absorptiometry (DXA) in South African women and examined differences by HIV and body mass index (BMI) status. Methods Lin's concordance correlation coefficient (CCC) test was used to examine fat mass (FM), fat free mass (FFM), and total body fat percent (%BF) difference between BIA vs. DXA, and ADP vs. DXA in women living with HIV (n = 57) and without HIV (n = 25). The Bland Altman test was used to assess mean differences and the direction of bias. Results The median age was 31 years (IQR, 26-35) and months postpartum were 11 (IQR, 7-16), 44% of the women had obesity. Lin's CCC for BIA and ADP vs. DXA were both 0.80 for %BF and 0.97 for FM, and 0.86 and 0.80 for FFM, respectively. Mean differences (DXA-BIA and ADP estimates) were 0.22 ± 4.54% (p = 0.54) and 3.35 ± 3.27% (p < 0.01) for %BF, -0.82 ± 3.56 kg (p = 0.06) and 1.43 ± 2.68 kg (p = 0.01) for FM, -1.38 ± 3.61 kg (p = 0.01) and - 3.34 ± 2.37 kg (p < 0.01) for FFM, respectively. BIA overestimated %BF in WLHIV and underestimated it in women with obesity. Conclusion Body composition measurements using BIA and ADP correlated well with DXA, thereby providing alternative, safe tools for measuring postpartum FM and FFM in SSA women, including WLHIV.
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Affiliation(s)
- Hlengiwe P. Madlala
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Landon Myer
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Hayli Geffen
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Demi Meyer
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Amy E. Mendham
- Riverland Academy of Clinical Excellence (RACE), Riverland Mallee Coorong Local Health Network, South Australia Health, Berri, SA, Australia
- Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, Health Through Physical Activity, Lifestyle and Sport Research Centre (HPALS), FIMS International Collaborating Centre of Sports Medicine, University of Cape Town, Cape Town, South Africa
| | - Julia H. Goedecke
- Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, Health Through Physical Activity, Lifestyle and Sport Research Centre (HPALS), FIMS International Collaborating Centre of Sports Medicine, University of Cape Town, Cape Town, South Africa
- Biomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, South Africa
| | - Angela M. Bengtson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Jennifer Jao
- Division of Infectious Diseases, Department of Paediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Division of Infectious Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Lara R. Dugas
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
- Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, United States
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Silva AM, Campa F, Stagi S, Gobbo LA, Buffa R, Toselli S, Silva DAS, Gonçalves EM, Langer RD, Guerra-Júnior G, Machado DRL, Kondo E, Sagayama H, Omi N, Yamada Y, Yoshida T, Fukuda W, Gonzalez MC, Orlandi SP, Koury JC, Moro T, Paoli A, Kruger S, Schutte AE, Andreolli A, Earthman CP, Fuchs-Tarlovsky V, Irurtia A, Castizo-Olier J, Mascherini G, Petri C, Busert LK, Cortina-Borja M, Bailey J, Tausanovitch Z, Lelijveld N, Ghazzawi HA, Amawi AT, Tinsley G, Kangas ST, Salpéteur C, Vázquez-Vázquez A, Fewtrell M, Ceolin C, Sergi G, Ward LC, Heitmann BL, da Costa RF, Vicente-Rodriguez G, Cremasco MM, Moroni A, Shepherd J, Moon J, Knaan T, Müller MJ, Braun W, García-Almeida JM, Palmeira AL, Santos I, Larsen SC, Zhang X, Speakman JR, Plank LD, Swinburn BA, Ssensamba JT, Shiose K, Cyrino ES, Bosy-Westphal A, Heymsfield SB, Lukaski H, Sardinha LB, Wells JC, Marini E. The bioelectrical impedance analysis (BIA) international database: aims, scope, and call for data. Eur J Clin Nutr 2023; 77:1143-1150. [PMID: 37532867 DOI: 10.1038/s41430-023-01310-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 07/10/2023] [Accepted: 07/12/2023] [Indexed: 08/04/2023]
Abstract
BACKGROUND Bioelectrical impedance analysis (BIA) is a technique widely used for estimating body composition and health-related parameters. The technology is relatively simple, quick, and non-invasive, and is currently used globally in diverse settings, including private clinicians' offices, sports and health clubs, and hospitals, and across a spectrum of age, body weight, and disease states. BIA parameters can be used to estimate body composition (fat, fat-free mass, total-body water and its compartments). Moreover, raw measurements including resistance, reactance, phase angle, and impedance vector length can also be used to track health-related markers, including hydration and malnutrition, and disease-prognostic, athletic and general health status. Body composition shows profound variability in association with age, sex, race and ethnicity, geographic ancestry, lifestyle, and health status. To advance understanding of this variability, we propose to develop a large and diverse multi-country dataset of BIA raw measures and derived body components. The aim of this paper is to describe the 'BIA International Database' project and encourage researchers to join the consortium. METHODS The Exercise and Health Laboratory of the Faculty of Human Kinetics, University of Lisbon has agreed to host the database using an online portal. At present, the database contains 277,922 measures from individuals ranging from 11 months to 102 years, along with additional data on these participants. CONCLUSION The BIA International Database represents a key resource for research on body composition.
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Affiliation(s)
- Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002, Lisbon, Portugal.
| | - Francesco Campa
- Department of Biomedical Science, University of Padova, 35100, Padova, Italy
| | - Silvia Stagi
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, 09042, Cagliari, Italy
| | - Luís A Gobbo
- Skeletal Muscle Assessment Laboratory, Physical Education Department, School of Technology and Science, São Paulo State University, Presidente Prudente, 19060-900, Brazil
| | - Roberto Buffa
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, 09042, Cagliari, Italy
| | - Stefania Toselli
- Department for Life Quality Studies, University of Bologna, 47921, Rimini, Italy
| | - Diego Augusto Santos Silva
- Research Center of Kinanthropometry and Human Performance, Sports Center, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Ezequiel M Gonçalves
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas, 13083-887, Brazil
| | - Raquel D Langer
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas, 13083-887, Brazil
| | - Gil Guerra-Júnior
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas, 13083-887, Brazil
| | - Dalmo R L Machado
- Laboratory of Kinanthropometry and Human Performance, School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, 05508-030, São Paulo, Brazil
| | - Emi Kondo
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, 305-8574, Japan
| | - Hiroyuki Sagayama
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, 305-8574, Japan
| | - Naomi Omi
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, 305-8574, Japan
| | - Yosuke Yamada
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 566-0002, Japan
| | - Tsukasa Yoshida
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 566-0002, Japan
| | - Wataru Fukuda
- Yokohama Sports Medical Center, Yokohama Sport Association, Kanagawa, 222-0036, Japan
| | - Maria Cristina Gonzalez
- Postgraduate Program in Nutrition and Food, Federal University of Pelotas, 96010-610 Pelotas, Brazil
| | - Silvana P Orlandi
- Nutrition Department, Federal University of Pelotas, 96010-610, Pelotas, Brazil
| | - Josely C Koury
- Nutrition Institute, State University of Rio de Janeiro, 20550-013, Rio de Janeiro, Brazil
| | - Tatiana Moro
- Department of Biomedical Science, University of Padova, 35100, Padova, Italy
| | - Antonio Paoli
- Department of Biomedical Science, University of Padova, 35100, Padova, Italy
| | - Salome Kruger
- Centre of Excellence for Nutrition, North-West University, Potchefstroom, 2520, South Africa
| | - Aletta E Schutte
- School of Population Health, University of New South Wales, The George Institute for Global Health, Sydney, NSW, Australia
| | | | | | | | - Alfredo Irurtia
- National Institute of Physical Education of Catalonia (INEFC), University of Barcelona (UB), Barcelona, Spain
| | - Jorge Castizo-Olier
- School of Health Sciences, TecnoCampus, Pompeu Fabra University, Barcelona, Spain
| | - Gabriele Mascherini
- Department of Experimental and Clinical Medicine, University of Florence, Firenze, Italy
| | - Cristian Petri
- Department of Sports and Computer Science, Section of Physical Education and Sports, Universidad Pablo de Olavide, Seville, Spain
| | - Laura K Busert
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Mario Cortina-Borja
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | | | | | | | - Hadeel Ali Ghazzawi
- Department of Nutrition and Food Technology, School of Agriculture, The University of Jordan, Amman, Jordan
| | - Adam Tawfiq Amawi
- Department of Physical and Health Education, Faculty of Educational Sciences, Al-Ahliyya Amman University, Al-Salt, Jordan
| | - Grant Tinsley
- Energy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, 79409, USA
| | - Suvi T Kangas
- International Rescue Committee, New York, NY, 10168, USA
| | - Cécile Salpéteur
- Department of Expertise and Advocacy, Action contre la Faim, 93358, Montreuil, France
| | - Adriana Vázquez-Vázquez
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Mary Fewtrell
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Chiara Ceolin
- Department of Medicine (DIMED), Geriatrics Division, University of Padova, Padova, 35128, Italy
| | - Giuseppe Sergi
- Department of Medicine (DIMED), Geriatrics Division, University of Padova, Padova, 35128, Italy
| | - Leigh C Ward
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Berit L Heitmann
- Research Unit for Dietary Studies, The Parker Institute, Frederiksberg and Bispebjerg Hospital, Copenhagen, Denmark
- Section for general Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Roberto Fernandes da Costa
- Department of Physical Education, Research Group in Physical Activity and Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - German Vicente-Rodriguez
- Faculty of Health and Sport Science FCSD, Department of Physiatry and Nursing, University of Zaragoza, 50009, Zaragoza, Spain
| | - Margherita Micheletti Cremasco
- Laboratory of Anthropology, Anthropometry and Ergonomics, Department of Life Sciences and Systems Biology, University of Torino, 10123, Torino, Italy
| | - Alessia Moroni
- Laboratory of Anthropology, Anthropometry and Ergonomics, Department of Life Sciences and Systems Biology, University of Torino, 10123, Torino, Italy
| | - John Shepherd
- University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Jordan Moon
- United States Sports Academy, Daphne, AL, 36526, USA
| | - Tzachi Knaan
- Weight Management, Metabolism & Sports Nutrition Clinic, Metabolic Lab, Tel-Aviv, Tel Aviv-Yafo, Israel
| | - Manfred J Müller
- Department of Human Nutrition, Institute of Human Nutrition and Food Sciences, Christian-Albrechts University, 24105, Kiel, Germany
| | - Wiebke Braun
- Department of Human Nutrition, Institute of Human Nutrition and Food Sciences, Christian-Albrechts University, 24105, Kiel, Germany
| | - José M García-Almeida
- Department of Endocrinology and Nutrition, Virgen de la Victoria Hospital, Malaga University, 29010, Malaga, Spain
| | | | - Inês Santos
- Laboratório de Nutrição, Faculdade de Medicina, Centro Académico de Medicina de Lisboa, Universidade de Lisboa, Lisboa, Portugal
| | - Sofus C Larsen
- Research Unit for Dietary Studies at the Parker Institute, Bispebjerg and Frederiksberg Hospital, The Capital Region, Frederiksberg, Denmark
- The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - 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
| | - 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
- School of Biological Sciences, University of Aberdeen, Aberdeen, UK
| | - Lindsay D Plank
- Department of Surgery, University of Auckland, Auckland, New Zealand
| | - Boyd A Swinburn
- School of Population Health, University of Auckland, Auckland, New Zealand
| | - Jude Thaddeus Ssensamba
- Center for Innovations in Health Africa (CIHA Uganda), Kampala, Uganda
- Makerere University Walter Reed Project, Kampala, Uganda
| | - Keisuke Shiose
- Faculty of Education, University of Miyazaki, Miyazaki, Japan
| | - Edilson S Cyrino
- Metabolism, Nutrition, and Exercise Laboratory. Physical Education and Sport Center, State University of Londrina, Rod. Celso Garcia Cid, Km 380, 86057-970, Londrina-PR, Brazil
| | - Anja Bosy-Westphal
- Department of Human Nutrition, Institute of Human Nutrition and Food Sciences, Christian-Albrechts University, 24105, Kiel, Germany
| | | | - Henry Lukaski
- Department of Kinesiology and Public Health Education, Hyslop Sports Center, University of North Dakota Grand Forks, Grand Forks, ND, 58202, USA
| | - Luís B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002, Lisbon, Portugal
| | - Jonathan C Wells
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Elisabetta Marini
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, 09042, Cagliari, Italy
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Williams P. Retaining Race in Chronic Kidney Disease Diagnosis and Treatment. Cureus 2023; 15:e45054. [PMID: 37701164 PMCID: PMC10495104 DOI: 10.7759/cureus.45054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/08/2023] [Indexed: 09/14/2023] Open
Abstract
The best overall measure of kidney function is glomerular filtration rate (GFR) as commonly estimated from serum creatinine concentrations (eGFRcr) using formulas that correct for the higher average creatinine concentrations in Blacks. After two decades of use, these formulas have come under scrutiny for estimating GFR differently in Blacks and non-Blacks. Discussions of whether to include race (Black vs. non-Black) in the calculation of eGFRcr fail to acknowledge that the original race-based eGFRcr provided the same CKD treatment recommendations for Blacks and non-Blacks based on directly (exogenously) measured GFR. Nevertheless, the National Kidney Foundation and the American Society of Nephrology Task Force on Reassessing the Inclusion of Race in Diagnosing Kidney Disease removed race in CKD treatment guidelines and pushed for the immediate adoption of a race-free eGFRcr formula by physicians and clinical laboratories. This formula is projected to negate CKD in 5.51 million White and other non-Black adults and reclassify CKD to less severe stages in another 4.59 million non-Blacks, in order to expand treatment eligibility to 434,000 Blacks not previously diagnosed and to 584,000 Blacks previously diagnosed with less severe CKD. This review examines: 1) the validity of the arguments for removing the original race correction, and 2) the performance of the proposed replacement formula. Excluding race in the derivation of eGFRcr changed the statistical bias from +3.7 to -3.6 ml/min/1.73m2 in Blacks and from +0.5 to +3.9 in non-Blacks, i.e., promoting CKD diagnosis in Blacks at the cost of restricting diagnosis in non-Blacks. By doing so, the revised eGFRcr greatly exaggerates the purported racial disparity in CKD burden. Claims that the revised formulas identify heretofore undiagnosed CKD in Blacks are not supported when studies that used kidney failure replacement therapy and mortality are interpreted as proxies for baseline CKD. Alternatively, a race-stratified eGFRcr (i.e., separate equations for Blacks and non-Blacks) would provide the least biased eGFRcr for both Blacks and non-Blacks and the best medical treatment for all patients.
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Affiliation(s)
- Paul Williams
- Life Sciences, Lawrence Berkeley National Laboratory, Berkeley, USA
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Kyusa MM, Kruger HS, de Lange-Loots Z. Differences in calculated body fat percentage estimated from published equations based on bioelectric impedance analysis in healthy young South African adults. J Public Health Res 2023; 12:22799036231196732. [PMID: 37720847 PMCID: PMC10503279 DOI: 10.1177/22799036231196732] [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: 11/30/2022] [Accepted: 08/04/2023] [Indexed: 09/19/2023] Open
Abstract
Background Adult overweight and obesity, in addition to the intake of saturated fat and total serum cholesterol must be monitored as biological risk factors for non-communicable diseases (NCDs). Bioelectric impedance analysis (BIA) provides data on body fat for use in epidemiological settings. However, optimized equations should be used to calculate percentage body fat (%BF). The purpose of this study was to assess the differences between %BF calculated using different published BIA equations and %BF measured by BIA in young South African adults. Design and methods In this observational study, differences in calculated %BF were assessed, with different BIA equations retrieved from the literature used in 1128 healthy young adults aged 20-30 years. The %BF (measured by BIA) was compared between equations, between Black and White men and women, respectively. Results The results showed statistically significant differences in the %BF calculated from published BIA equations when used in young South African adults (χ² = 946, χ² = 2528, χ² = 2088, respectively, p < 0.0001). In Black and White men and women, respectively, %BF levels were significantly higher when calculated by equations, than when measured by BIA (p < 0.0001). Conclusion There seem to be large discrepancies in estimating %BF by BIA equations and these values cannot be used interchangeably for young South African adults. A South African age, ethnicity and sex-specific BIA equation needs to be developed to accurately estimate %BF in young South African adults.
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Affiliation(s)
- Muhindo Macky Kyusa
- Centre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa
| | - Herculina Salome Kruger
- Centre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa
- Medical Research Council Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
| | - Zelda de Lange-Loots
- Centre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa
- Medical Research Council Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
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5
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Moeng-Mahlangu L, Monyeki MA, Reilly JJ, Kruger HS. Comparison of Several Prediction Equations Using Skinfold Thickness for Estimating Percentage Body Fat vs. Body Fat Percentage Determined by BIA in 6-8-Year-Old South African Children: The BC-IT Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14531. [PMID: 36361413 PMCID: PMC9656018 DOI: 10.3390/ijerph192114531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/13/2022] [Accepted: 10/31/2022] [Indexed: 06/16/2023]
Abstract
Body composition measurement is useful for assessing percentage body fat (%BF) and medical diagnosis, monitoring disease progression and response to treatment, and is essential in assessing nutritional status, especially in children. However, finding accurate and precise techniques remains a challenge. The study compares %BF determined by bioelectrical impedance analysis (BIA) and calculated from available prediction equations based on skinfolds in young South African children. A cross-sectional study performed on 202 children (83 boys and 119 girls) aged 6-8 years. Height and weight, triceps and subscapular skinfolds were determined according to standard procedures. %BF was determined with BIA and three relevant available equations. SPSS analyzed the data using paired samples tests, linear regression, and Bland-Altman plots. Significant paired mean differences were found for BIA and Slaughter (t201 = 33.896, p < 0.001), Wickramasinghe (t201 = 4.217, p < 0.001), and Dezenberg (t201 = 19.910, p < 0.001). For all of the equations, the standards for evaluating prediction errors (SEE) were above 5. The Bland-Altman plots show relatively large positive and negative deviations from the mean difference lines and trends of systematic under- and over-estimation of %BF across the %BF spectrum. All three equations demonstrated a smaller %BF than the %BF measured by BIA, but the difference was smallest with the Wickramasinghe equation. In comparison, a poor SEE was found in the three %BF predicted equations and %BF derived from BIA. As such, an age-specific %BF equation incorporating criterion methods of deuterium dilution techniques or 'gold-standard' methods is needed to refute these findings. However, in the absence of developed %BF equations or 'gold-standard' methods, the available prediction equations are still desirable.
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Affiliation(s)
- Lynn Moeng-Mahlangu
- Physical Activity, Sport and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom 2531, South Africa
| | - Makama A. Monyeki
- Physical Activity, Sport and Recreation Research Focus Area (PhASRec), Faculty of Health Sciences, North-West University, Potchefstroom 2531, South Africa
| | - John J. Reilly
- Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow G1 1XQ, UK
| | - Herculina S. Kruger
- Centre of Excellence for Nutrition, North-West University, Potchefstroom 2531, South Africa
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Courville AB, Yang SB, Andrus S, Hayat N, Kuemmerle A, Leahy E, Briker S, Zambell K, Chung S, Sumner AE. Body adiposity measured by bioelectrical impedance is an alternative to dual-energy x-ray absorptiometry in black Africans: The Africans in America Study. Nutrition 2020; 74:110733. [PMID: 32179385 DOI: 10.1016/j.nut.2020.110733] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 01/02/2020] [Accepted: 01/09/2020] [Indexed: 12/17/2022]
Abstract
OBJECTIVES The prevalence of cardiometabolic disease has risen in Africa and parallels the obesity epidemic. To assess cardiometabolic risk, body composition measurements by dual-energy X-ray absorptiometry (DXA) are ideal. In communities with limited resources, alternative measures may be useful but have not been compared extensively in black Africans. Therefore, the aim of this study was to identify alternative methods of body composition assessment, such as body adiposity index (BAI) and bioelectrical impedance analysis (BIA), for use in African-born blacks. METHODS This was a cross-sectional study with African-born blacks. BAI and five BIA predictive equations (using variations of height, weight, age, sex, and impedance) were compared with DXA to estimate percent fat. Participants were 266 African-born blacks (39 ± 10 y, body mass index 28 ± 4 kg/m2, and 68% men) living in metropolitan Washington DC. Equivalence (90% confidence interval, -3 to 3), concordance, and Bland-Altman analyses (bias <2%, R2 closest to zero) compared BAI or BIA predictive equations to DXA as the criterion method. RESULTS DXA percent fat was 27.2% ± 5.5% and 40.3% ± 6.9% in men and women, respectively. BAI underestimated percent fat in men (bias: 1.88 ± 4.71, R2 = 0.25, P < 0.001) and women (bias: 6.47 ± 4.94, R2 = 0.08, P = 0.01). Of the five BIA predictive equations, the equation reported by Sun et al. had the best agreement with DXA percent fat for men (bias: -0.91 ± 3.67, R2 = 0.02, P = 0.05) and women (bias: -0.92 ± 4.02, R2 = 0.003, P = 0.58). Percent fat from the Sun et al. equation best agreed with DXA percent fat. CONCLUSION BIA with the Sun et al. predictive equation was the best alternative to DXA for body fat assessment in African-born blacks.
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Affiliation(s)
- Amber B Courville
- National Institutes of Health, Clinical Center, Nutrition Department, Bethesda, Maryland, USA.
| | - Shanna B Yang
- National Institutes of Health, Clinical Center, Nutrition Department, Bethesda, Maryland, USA
| | - Sarah Andrus
- National Institutes of Health, Clinical Center, Nutrition Department, Bethesda, Maryland, USA
| | - Nosheen Hayat
- National Institutes of Health, Clinical Center, Nutrition Department, Bethesda, Maryland, USA
| | - Anneliese Kuemmerle
- National Institutes of Health, Clinical Center, Nutrition Department, Bethesda, Maryland, USA
| | - Elizabeth Leahy
- National Institutes of Health, Clinical Center, Nutrition Department, Bethesda, Maryland, USA
| | - Sara Briker
- National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA
| | - Kirsten Zambell
- National Institutes of Health, Clinical Center, Nutrition Department, Bethesda, Maryland, USA
| | - Stephanie Chung
- National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA
| | - Anne E Sumner
- National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA; National Institutes of Health, National Institute of Minority Health, Bethesda, Maryland, USA
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7
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Gonzalez MC, Orlandi SP, Santos LP, Barros AJ. Body composition using bioelectrical impedance: Development and validation of a predictive equation for fat-free mass in a middle-income country. Clin Nutr 2019; 38:2175-2179. [DOI: 10.1016/j.clnu.2018.09.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 08/10/2018] [Accepted: 09/09/2018] [Indexed: 01/10/2023]
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8
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A Median Analysis of Factors Influencing Body Fatness in Urban School-Age Children in Cameroon. J Nutr Metab 2019; 2019:1856069. [PMID: 30863634 PMCID: PMC6378010 DOI: 10.1155/2019/1856069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 01/01/2019] [Indexed: 11/19/2022] Open
Abstract
Background Childhood overweight/obesity is a fast growing public health problem in developing countries. The adverse health consequences of obesity have been attributed to higher body fat levels and this has drawn overwhelming attention towards more accurate assessment of body fat. The goal of this study is to evaluate the relationships between selected behavioral factors and percentage body fat (%BF) estimated using bioelectrical impedance analysis in school-age children. Methods A cross-sectional analysis was carried out in randomly selected 6- to 11-year-old children (507 boys and 501 girls). Percentage body fat was assessed using bioelectrical impedance analysis. The behavioral factors were reported by parents using a structured questionnaire. Multiple quantile regression analysis was used to evaluate the relationship between the selected behavioral factors and %BF. Results With quantile regression, the daily consumption of fruits and vegetables, daily breakfast consumption, and high physical activity (>4–7 times/week) were significantly (p < 0.001) associated with a 4.95, 3.29, and 3.66 decrease in median %BF, respectively. Also, consumption of snacks (>3 times a day) (p < 0.001), high sedentary lifestyle (>3–6 hours/day) (p < 0.001), and motorization to school (p < 0.005) significantly increased the median %BF by 3.69, 3.01, and 1.39, respectively. The largest changes in median %BF were observed in girls. Conclusions Efforts are needed using longitudinal studies to clarify the effects of these behavioral factors on %BF in different regions and ethnic groups of Cameroon and also to assess whether any observed differences are of clinical relevance.
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Dugas LR, Lie L, Plange-Rhule J, Bedu-Addo K, Bovet P, Lambert EV, Forrester TE, Luke A, Gilbert JA, Layden BT. Gut microbiota, short chain fatty acids, and obesity across the epidemiologic transition: the METS-Microbiome study protocol. BMC Public Health 2018; 18:978. [PMID: 30081857 PMCID: PMC6090745 DOI: 10.1186/s12889-018-5879-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Accepted: 07/24/2018] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND While some of the variance observed in adiposity and weight change within populations can be accounted for by traditional risk factors, a new factor, the gut microbiota, has recently been associated with obesity. However, the causal mechanisms through which the gut microbiota and its metabolites, short chain fatty acids (SCFAs) influence obesity are unknown, as are the individual obesogenic effects of the individual SCFAs (butyrate, acetate and propionate). This study, METS-Microbiome, proposes to examine the influence of novel risk factors, the gut microbiota and SCFAs, on obesity, adiposity and weight change in an international established cohort spanning the epidemiologic transition. METHODS The parent study; Modeling the Epidemiologic Transition Study (METS) is a well-established and ongoing prospective cohort study designed to assess the association between body composition, physical activity, and relative weight, weight gain and cardiometabolic disease risk in five diverse population-based samples in 2500 people of African descent. The cohort has been prospectively followed since 2009. Annual measures of obesity risk factors, including body composition, objectively measured physical activity and dietary intake, components which vary across the spectrum of social and economic development. In our new study; METS-Microbiome, in addition to continuing yearly measures of obesity risk, we will also measure gut microbiota and stool SCFAs in all contactable participants, and follow participants for a further 3 years, thus providing one of the largest gut microbiota population-based studies to date. DISCUSSION This new study capitalizes upon an existing, extensively well described cohort of adults of African-origin, with significant variability as a result of the widespread geographic distributions, and therefore variation in the environmental covariate exposures. The METS-Microbiome study will substantially advance the understanding of the role gut microbiota and SCFAs play in the development of obesity and provide novel obesity therapeutic targets targeting SCFAs producing features of the gut microbiota. TRIAL REGISTRATION Registered NCT03378765 Date first posted: December 20, 2017.
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Affiliation(s)
- Lara R. Dugas
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, 2160 S. 1st Avenue, Maywood, IL 60153 USA
| | - Louise Lie
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, 2160 S. 1st Avenue, Maywood, IL 60153 USA
| | - Jacob Plange-Rhule
- Department of Physiology, SMS, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Kweku Bedu-Addo
- Department of Physiology, SMS, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Pascal Bovet
- Institute of Social & Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
- Ministry of Health, Republic of Seychelles, Lausanne, Switzerland
| | - Estelle V. Lambert
- Research Unit for Exercise Science and Sports Medicine, University of Cape Town, Cape Town, South Africa
| | - Terrence E. Forrester
- Solutions for Developing Countries, University of the West Indies, Mona, Kingston Jamaica
| | - Amy Luke
- Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, 2160 S. 1st Avenue, Maywood, IL 60153 USA
| | - Jack A. Gilbert
- Microbiome Center, Department of Surgery, University of Chicago, Chicago, IL USA
| | - Brian T. Layden
- Division of Endocrinology, Diabetes, and Metabolism, University of Illinois at Chicago, Chicago, IL USA
- Jesse Brown Veterans Affairs Medical Center, Chicago, IL USA
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Creber C, Cooper RS, Plange-Rhule J, Bovet P, Lambert EV, Forrester TE, Schoeller D, Riesen W, Korte W, Cao G, Luke A, Dugas LR. Independent association of resting energy expenditure with blood pressure: confirmation in populations of the African diaspora. BMC Cardiovasc Disord 2018; 18:4. [PMID: 29320983 PMCID: PMC5763572 DOI: 10.1186/s12872-017-0737-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Accepted: 12/13/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Obesity is a major risk factor for hypertension, however, the physiologic mechanisms linking increased adiposity to elevations in blood pressure are not well described. An increase in resting energy expenditure (REE) is an obligatory consequence of obesity. Previous survey research has demonstrated that REE is an independent predictor of blood pressure, and eliminates the co-linear association of body mass index. This observation has received little attention and there have been no attempts to provide a causal explanation. METHODS At baseline in an international comparative study on obesity, 289 participants aged 25-44 were recruited from communities in the US, the Seychelles, Ghana and South Africa and had REE measured with indirect calorimetry. All participants were thought to be free of major illness. RESULTS In multivariate regression models, both systolic and diastolic blood pressure were positively associated with REE (p < 0.01), while body mass index and fat mass were negatively correlated with systolic blood pressure (p < 0.01, and p < 0.05 respectively), but not diastolic blood pressure. CONCLUSIONS These data confirm previous reports and suggest that a common physiologic abnormality links REE and blood pressure. Elevated catecholamines, a putative metabolic characteristic of obesity, is a possible candidate to explain this association. The direct role of excess adipose tissue is open to question.
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Affiliation(s)
- Chloe Creber
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL USA
| | - Richard S. Cooper
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL USA
| | | | - Pascal Bovet
- Institute of Social & Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
- Ministry of Health, Victoria, Mahè Island, Seychelles
| | - Estelle V. Lambert
- Research Unit for Exercise Science and Sports Medicine, University of Cape Town, Cape Town, South Africa
| | - Terrence E. Forrester
- Solutions for Developing Countries, University of the West Indies, Mona, Kingston Jamaica
| | - Dale Schoeller
- Department of Nutritional Sciences, University of Wisconsin, Madison, WI USA
| | - Walter Riesen
- Center for Laboratory Medicine, Canton Hospital, St. Gallen, Switzerland
| | - Wolfgang Korte
- Center for Laboratory Medicine, Canton Hospital, St. Gallen, Switzerland
| | - Guichan Cao
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL USA
| | - Amy Luke
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL USA
| | - Lara R. Dugas
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL USA
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Hegelund MH, Wells JC, Girma T, Faurholt-Jepsen D, Zerfu D, Christensen DL, Friis H, Olsen MF. Validation of bioelectrical impedance analysis in Ethiopian adults with HIV. J Nutr Sci 2017; 6:e62. [PMID: 29299309 PMCID: PMC5736632 DOI: 10.1017/jns.2017.67] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Revised: 10/22/2017] [Accepted: 10/31/2017] [Indexed: 11/07/2022] Open
Abstract
Bioelectrical impedance analysis (BIA) is an inexpensive, quick and non-invasive method to determine body composition. Equations used in BIA are typically derived in healthy individuals of European descent. BIA is specific to health status and ethnicity and may therefore provide inaccurate results in populations of different ethnic origin and health status. The aim of the present study was to test the validity of BIA in Ethiopian antiretroviral-naive HIV patients. BIA was validated against the 2H dilution technique by comparing fat-free mass (FFM) measured by the two methods using paired t tests and Bland-Altman plots. BIA was based on single frequency (50 kHz) whole-body measurements. Data were obtained at three health facilities in Jimma Zone, Oromia Region, South-West Ethiopia. Data from 281 HIV-infected participants were available. Two-thirds were female and the mean age was 32·7 (sd 8·6) years. Also, 46 % were underweight with a BMI below 18·5 kg/m2. There were no differences in FFM between the methods. Overall, BIA slightly underestimated FFM by 0·1 kg (-0·1, 95 % CI -0·3, 0·2 kg). The Bland-Altman plot indicated acceptable agreement with an upper limit of agreement of 4·5 kg and a lower limit of agreement of -4·6 kg, but with a small correlation between the mean difference and the average FFM. BIA slightly overestimated FFM at low values compared with the 2H dilution technique, while it slightly underestimated FFM at high values. In conclusion, BIA proved to be valid in this population and may therefore be useful for measuring body composition in routine practice in HIV-infected African individuals.
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Affiliation(s)
- Maria H. Hegelund
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Jonathan C. Wells
- Childhood Nutrition Research Centre, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Tsinuel Girma
- Department of Paediatrics and Child Health, Jimma University, Jimma, Ethiopia
| | - Daniel Faurholt-Jepsen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
- Department of Infectious Diseases, Rigshospitalet, Copenhagen, Denmark
| | - Dilnesaw Zerfu
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Henrik Friis
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Mette F. Olsen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
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12
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Dugas LR, Forrester TE, Plange-Rhule J, Bovet P, Lambert EV, Durazo-Arvizu RA, Cao G, Cooper RS, Khatib R, Tonino L, Riesen W, Korte W, Kliethermes S, Luke A. Cardiovascular risk status of Afro-origin populations across the spectrum of economic development: findings from the Modeling the Epidemiologic Transition Study. BMC Public Health 2017; 17:438. [PMID: 28499375 PMCID: PMC5429531 DOI: 10.1186/s12889-017-4318-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Accepted: 04/26/2017] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Cardiovascular risk factors are increasing in most developing countries. To date, however, very little standardized data has been collected on the primary risk factors across the spectrum of economic development. Data are particularly sparse from Africa. METHODS In the Modeling the Epidemiologic Transition Study (METS) we examined population-based samples of men and women, ages 25-45 of African ancestry in metropolitan Chicago, Kingston, Jamaica, rural Ghana, Cape Town, South Africa, and the Seychelles. Key measures of cardiovascular disease risk are described. RESULTS The risk factor profile varied widely in both total summary estimates of cardiovascular risk and in the magnitude of component factors. Hypertension ranged from 7% in women from Ghana to 35% in US men. Total cholesterol was well under 200 mg/dl for all groups, with a mean of 155 mg/dl among men in Ghana, South Africa and Jamaica. Among women total cholesterol values varied relatively little by country, following between 160 and 178 mg/dl for all 5 groups. Levels of HDL-C were virtually identical in men and women from all study sites. Obesity ranged from 64% among women in the US to 2% among Ghanaian men, with a roughly corresponding trend in diabetes. Based on the Framingham risk score a clear trend toward higher total risk in association with socioeconomic development was observed among men, while among women there was considerable overlap, with the US participants having only a modestly higher risk score. CONCLUSIONS These data provide a comprehensive estimate of cardiovascular risk across a range of countries at differing stages of social and economic development and demonstrate the heterogeneity in the character and degree of emerging cardiovascular risk. Severe hypercholesterolemia, as characteristic in the US and much of Western Europe at the onset of the coronary epidemic, is unlikely to be a feature of the cardiovascular risk profile in these countries in the foreseeable future, suggesting that stroke may remain the dominant cardiovascular event.
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Affiliation(s)
- Lara R. Dugas
- Public Health Sciences, Stritch School of Medicine, Maywood, IL USA
| | - Terrence E. Forrester
- Solutions for Developing Countries, University of the West Indies, Mona, Kingston, Jamaica
| | - Jacob Plange-Rhule
- Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Pascal Bovet
- Ministry of Health, Republic of Seychelles, Seychelles, Seychelles
- Institute of Social & Preventive Medicine, Laussanne University Hospital, Lausanne, Switzerland
| | - Estelle V. Lambert
- Research Unit for Exercise Science and Sports Medicine, University of Cape Town, Cape Town, South Africa
| | | | - Guichan Cao
- Public Health Sciences, Stritch School of Medicine, Maywood, IL USA
| | | | - Rasha Khatib
- Public Health Sciences, Stritch School of Medicine, Maywood, IL USA
| | - Laura Tonino
- Public Health Sciences, Stritch School of Medicine, Maywood, IL USA
| | - Walter Riesen
- Center for Laboratory Medicine, Canton Hospital, St. Gallen, Switzerland
| | - Wolfgang Korte
- Center for Laboratory Medicine, Canton Hospital, St. Gallen, Switzerland
| | - Stephanie Kliethermes
- Department of Orthopaedics and Rehabilitation, University of Wisconsin School of Medicine and Public Health, Madison, WI USA
| | - Amy Luke
- Public Health Sciences, Stritch School of Medicine, Maywood, IL USA
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Enomoto M, Adachi H, Fukami A, Kumagai E, Nakamura S, Nohara Y, Kono S, Nakao E, Morikawa N, Tsuru T, Sakaue A, Fukumoto Y. A Useful Tool As a Medical Checkup in a General Population-Bioelectrical Impedance Analysis. Front Cardiovasc Med 2017; 4:3. [PMID: 28210619 PMCID: PMC5288389 DOI: 10.3389/fcvm.2017.00003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 01/16/2017] [Indexed: 11/21/2022] Open
Abstract
Accumulation of visceral fat leads to metabolic syndrome and increases risks of cerebro-cardiovascular diseases, which should be recognized and improved at the early stage in general population. Accurate measurement of visceral fat area (VFA) is commonly performed by the abdominal cross-sectional image measured by computed tomography scan, which is, however, limited due to the radiation exposure. The bioelectrical impedance analysis (OMRON, HDS-2000 DUALSCANR) has been recently developed to measure VFA, which is more easily accessible modality. In the present study, we investigated the clinical usefulness of DUALSCANR in 226 subjects who received health examination, including blood chemistries, electrocardiography, cardio, and carotid ultrasonography. VFA was measured within only just 5 min. Average of VFA was 83.5 ± 36.3 cm2 in men, and 64.8 ± 28.0 cm2 in women, which was correlated to weight (r = 0.7404, p < 0.0001), body mass index (BMI) (r = 0.7320, p < 0.0001), and waist circumstance (r = 0.7393, p < 0.0001). In multivariate analyses, VFA was significantly associated with weight (p < 0.0001), BMI (p < 0.0001), and waist circumstance (p < 0.0001). Compared to the group of smaller waist and normal BMI, VFA was significantly increased (p < 0.0001) in the group of larger waist and obese subjects. In conclusion, these results indicated that DUALSCANR is useful to measure VFA easily in general population, even in a large number of subjects.
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Affiliation(s)
- Mika Enomoto
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine , Kurume , Japan
| | - Hisashi Adachi
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan; Department of Community Medicine, Kurume University School of Medicine, Kurume, Japan
| | - Ako Fukami
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine , Kurume , Japan
| | - Eita Kumagai
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine , Kurume , Japan
| | - Sachiko Nakamura
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine , Kurume , Japan
| | - Yume Nohara
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine , Kurume , Japan
| | - Shoko Kono
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine , Kurume , Japan
| | - Erika Nakao
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine , Kurume , Japan
| | - Nagisa Morikawa
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine , Kurume , Japan
| | - Tomoko Tsuru
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine , Kurume , Japan
| | - Akiko Sakaue
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine , Kurume , Japan
| | - Yoshihiro Fukumoto
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine , Kurume , Japan
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Olivier N, Wenhold FAM, Becker P. Resting Energy Expenditure of Black Overweight Women in South Africa Is Lower than of White Women. ANNALS OF NUTRITION AND METABOLISM 2016; 69:24-30. [PMID: 27403525 DOI: 10.1159/000447720] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Accepted: 06/19/2016] [Indexed: 11/19/2022]
Abstract
BACKGROUND Overweight affects 65% of black South African women. Effective weight management requires accurate measurement or estimation of energy expenditure. AIMS The study aimed to determine, among overweight women, whether measured resting energy expenditure (REE) differs between black and white participants, and the performance of REE estimation equations. METHODS The REE of 44 black (age 39.6 ± 9.7 years, body mass index (BMI) 35.1 ± 6.2 kg/m2) and 41 white (age 38.0 ± 11.6 years, BMI 33.9 ± 7.6 kg/m2) women was measured with indirect calorimetry and estimated with equations. Body composition was assessed with multi-frequency bioelectrical impedance analysis. Differences in REE were determined with t tests (Welch), and included adjustment for fat free mass (FFM) and BMI, and for FFM index (FFMI). RESULTS Measured REE was 585 kJ/day (95% CI 264-905; p = 0.0005) and 861 kJ/day (95% CI 499-1,221; p < 0.0001) lower in black than in white women when adjusted for FFM and BMI, and FFMI, respectively. Out of 14 equations, 13 underestimated REE (error range 2,261 ± 727 kJ/day (Bernstein equation, white women) to 8 ± 782 kJ/day (BMI equation, black women)). CONCLUSIONS Black overweight women have significantly lower REE than their white counterparts. No tested estimation equation provided satisfactory results across race/ethnicity. REE measurements or development of overweight- or race/ethnicity-specific estimation equations are recommended.
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Affiliation(s)
- Natascha Olivier
- Department of Human Nutrition, University of Pretoria, Faculty of Health Sciences, Pretoria, South Africa
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15
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Atiase Y, Farni K, Plange-Rhule J, Luke A, Bovet P, Forrester TG, Lambert V, Levitt NS, Kliethermes S, Cao G, Durazo-Arvizu RA, Cooper RS, Dugas LR. A comparison of indices of glucose metabolism in five black populations: data from modeling the epidemiologic transition study (METS). BMC Public Health 2015; 15:895. [PMID: 26374293 PMCID: PMC4572672 DOI: 10.1186/s12889-015-2233-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2015] [Accepted: 09/04/2015] [Indexed: 12/25/2022] Open
Abstract
Background Globally, Africans and African Americans experience a disproportionate burden of type 2 diabetes, compared to other race and ethnic groups. The aim of the study was to examine the association of plasma glucose with indices of glucose metabolism in young adults of African origin from 5 different countries. Methods We identified participants from the Modeling the Epidemiologic Transition Study, an international study of weight change and cardiovascular disease (CVD) risk in five populations of African origin: USA (US), Jamaica, Ghana, South Africa, and Seychelles. For the current study, we included 667 participants (34.8 ± 6.3 years), with measures of plasma glucose, insulin, leptin, and adiponectin, as well as moderate and vigorous physical activity (MVPA, minutes/day [min/day]), daily sedentary time (min/day), anthropometrics, and body composition. Results Among the 282 men, body mass index (BMI) ranged from 22.1 to 29.6 kg/m2 in men and from 25.8 to 34.8 kg/m2 in 385 women. MVPA ranged from 26.2 to 47.1 min/day in men, and from 14.3 to 27.3 min/day in women and correlated with adiposity (BMI, waist size, and % body fat) only among US males after controlling for age. Plasma glucose ranged from 4.6 ± 0.8 mmol/L in the South African men to 5.8 mmol/L US men, while the overall prevalence for diabetes was very low, except in the US men and women (6.7 and 12 %, respectively). Using multivariate linear regression, glucose was associated with BMI, age, sex, smoking hypertension, daily sedentary time but not daily MVPA. Conclusion Obesity, metabolic risk, and other potential determinants vary significantly between populations at differing stages of the epidemiologic transition, requiring tailored public health policies to address local population characteristics.
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Affiliation(s)
| | - Kathryn Farni
- Department of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA.
| | | | - Amy Luke
- Department of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA.
| | - Pascal Bovet
- Institute of Social & Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland. .,Switzerland & Ministry of Health, Victoria, Republic of Seychelles.
| | - Terrence G Forrester
- Solutions for Developing Countries (SODECO), University of the West Indies, Mona, Kingston, Jamaica.
| | - Vicki Lambert
- Research Unit for Exercise Science and Sports Medicine, University of Cape Town, Cape Town, South Africa.
| | - Naomi S Levitt
- Department of Medicine, University of Cape Town, Cape Town, South Africa.
| | - Stephanie Kliethermes
- Department of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA.
| | - Guichan Cao
- Department of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA.
| | - Ramon A Durazo-Arvizu
- Department of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA.
| | - Richard S Cooper
- Department of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA.
| | - Lara R Dugas
- Department of Public Health Sciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA. .,Public Health Sciences, 2160 S. 1st Ave, Maywood, IL, 60153, USA.
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Eke CB, Chukwu BF, Ikefuna AN, Ezenwosu OU, Emodi IJ. Bioelectric impedance analysis of body composition of children and adolescents with sickle cell anemia in Enugu, Nigeria. Pediatr Hematol Oncol 2015; 32:258-68. [PMID: 25871437 DOI: 10.3109/08880018.2015.1010111] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Body composition indices are widely used to evaluate growth and nutrition in children, particularly those with sickle cell anemia (SCA), who are known to have impaired growth, impaired skeletal maturation, and delayed puberty. The current study is aimed at determining the body composition of children with SCA. METHODS Consecutive selection of SCA children aged 6 to 18 years, who served as subjects and their age and gender matched children with HbAA (controls), selected using multi-stage systematic sampling. It was a cross-sectional descriptive study conducted at the pediatric hematology and oncology clinic. Bioelectric impedance analysis was used to determine the body composition parameters, including weight, body fat percentage (BFP), visceral fat percentage, body mass index (BMI), skeletal muscle percentage, and resting metabolic rate. Data were analyzed using SPSS 16.0 at P < 0.05. RESULTS One hundred and thirty-two subjects and controls respectively were studied. Subjects had lower body composition parameters compared with controls, with the older male subjects aged 10 to 18 years, having lower body composition indices (weight, height, BMI, and BFP) compared with controls. Visceral fat percentage was low in both subjects and controls. CONCLUSIONS Children with SCA, particularly the older males, have impaired body composition indices. There is a need to conduct further studies to determine the longitudinal aspects of growth as well as quantitative and qualitative assessment of nutritional intake in children with SCA, which will inform higher alimentation requirements for HbSS children as compared with HbAA individuals.
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Affiliation(s)
- Christopher Bismarck Eke
- Department of Paediatrics, College of Medicine, University of Nigeria Teaching Hospital, University of Nigeria , Ituku-Ozalla, Enugu , Nigeria
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