Body composition techniques.
Open accessAbstract
Body composition is known to be associated with several diseases, such as cardiovascular disease, diabetes, cancers, osteoporosis and osteoarthritis. Body composition measurements are useful in assessing the effectiveness of nutritional interventions and monitoring the changes associated with growth and disease conditions. Changes in body composition occur when there is a mismatch between nutrient intake and requirement. Altered body composition is observed in conditions such as wasting and stunting when the nutritional intake may be inadequate. Overnutrition on the other hand leads to obesity. Many techniques are available for body composition assessment, which range from simple indirect measures to more sophisticated direct volumetric measurements. Some of the methods that are used today include anthropometry, tracer dilution, densitometry, dual-energy X-ray absorptiometry, air displacement plethysmography and bioelectrical impedance analysis. The methods vary in their precision and accuracy. Imaging techniques such as nuclear magnetic resonance imaging and computed tomography have become powerful tools due to their ability of visualizing and quantifying tissues, organs, or constituents such as muscle and adipose tissue. However, these methods are still considered to be research tools due to their cost and complexity of use. This review was aimed to describe the commonly used methods for body composition analysis and provide a brief introduction on the latest techniques available.
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DXA is one of the standard reference methods and non-invasive measurements for FFM and FM in children and adolescents.
“Several techniques have been used to assess the body composition of children and adolescents, and dual X-ray absorptiometry (DXA) is one of the standard reference methods and non-invasive measurements for FFM and FM (8–10).”
From Development and Cross-Validation of a Predictive Equation for Fat-Free Mass in Brazilian Adolescents by Bioelectrical Impedance (2022) · cites this paper as [9]
The Models of body composition section describes DEXA as a rapid, non-invasive method for whole-body composition measurement, and the Body composition in infants and children section lists it among techniques used to measure body fat in children. The Laboratory methods section says DEXA estimates body fat and lean tissue mass, but calls it a gold standard only for bone mineral density—not a standard reference method for FM and FFM in children and adolescents. Page numbers were not provided in the supplied passages. (LLM, conf=0.83)
Experimental — accuracy not yet measuredWhole-body-based techniques such as anthropometry and BIA are viable alternatives for clinical evaluation because they are non-invasive, portable, and relatively low cost.
“Whole-body-based techniques, such as anthropometry and bioelectrical impedance analysis (BIA), used as predictors in regression equations, developed and validated using DXA as the reference method, are a viable alternative for clinical evaluation since they are non-invasive, ideal for quantitative estimates of FFM and FM based on mathematical models, portable, and relatively low cost (9, 18, 19).”
From Development and Cross-Validation of a Predictive Equation for Fat-Free Mass in Brazilian Adolescents by Bioelectrical Impedance (2022) · cites this paper as [9]
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Cites
Establishing a standard definition for child overweight and obesity worldwide: international survey
Cole, T. J. (2000) · BMJ · doi:10.1136/bmj.320.7244.1240 · Cited by 16,500 · see citing works
(2000) · PubMed · Cited by 13,173 · see citing works
(2004) · The Lancet · doi:10.1016/s0140-6736(03)15268-3 · Cited by 12,717 · see citing works
Sarcopenia: European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Baeyens, J. P., Bauer, J. M., Boirie, Y., Cederholm, T., Landi, F., Martin, F. C., Michel, J.-P., Rolland, Y., Schneider, S. M., et al. (2010) · Age and Ageing · doi:10.1093/ageing/afq034 · Cited by 11,601 · see citing works
Durnin, J. V. G. A., & Womersley, J. (1974) · British Journal Of Nutrition · doi:10.1079/bjn19740060 · Cited by 6,343 · see citing works
CDC growth charts: United States.
Kuczmarski, R. J., Ogden, C. L., Grummer‐Strawn, L. M., Flegal, K. M., Guo, S. S., Wei, R. X., Mei, Z., Curtin, L. R., Roche, A. F., & Johnson, C. L. (2000) · PubMed · Cited by 5,298 · see citing works
WHO Child Growth Standards based on length/height, weight and age
de Onís, M. (2006) · Acta Paediatrica · doi:10.1111/j.1651-2227.2006.tb02378.x · Cited by 3,991 · see citing works
Body composition from fluid spaces and density: analysis of methods. 1961.
Siri, W. E. (1994) · PubMed · Cited by 2,556 · see citing works
DENSITOMETRIC ANALYSIS OF BODY COMPOSITION: REVISION OF SOME QUANTITATIVE ASSUMPTIONS*
Brožek, J., Grande, F., Anderson, J. T., & Keys, A. B. (1963) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1963.tb17079.x · Cited by 2,263 · see citing works
Simple proton spectroscopic imaging.
Dixon, W. T. (1984) · Radiology · doi:10.1148/radiology.153.1.6089263 · Cited by 2,261 · see citing works
Protein and amino acid requirements in human nutrition.
(2007) · PubMed · Cited by 2,227 · see citing works
Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index
Gallagher, D., Heymsfield, S. B., Heo, M., Jebb, S. A., Murgatroyd, P. R., & Sakamoto, Y. (2000) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/72.3.694 · Cited by 2,139 · see citing works
Prentice, A. M., & Jebb, S. A. (2001) · Obesity Reviews · doi:10.1046/j.1467-789x.2001.00031.x · Cited by 1,267 · see citing works
Body Composition in Healthy Aging
BAUMGARTNER, R. N. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06498.x · Cited by 1,078 · see citing works
Goodpaster, B. H., Kelley, D. E., Thaete, F. L., He, J., & Ross, R. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.89.1.104 · Cited by 956 · see citing works
Savva, S. C., Tornaritis, M., Savva, M. E., Kourides, Y. A., Panagi, A., Silikiotou, N., Georgiou, C., & Kafatos, A. (2000) · International Journal of Obesity · doi:10.1038/sj.ijo.0801401 · Cited by 934 · see citing works
Body fat reference curves for children
McCarthy, H. D., Cole, T. J., Fry, T., Jebb, S. A., & Prentice, A. M. (2006) · International Journal of Obesity · doi:10.1038/sj.ijo.0803232 · Cited by 889 · see citing works
Human Body Composition: In Vivo Methods
Ellis, K. J. (2000) · Physiological Reviews · doi:10.1152/physrev.2000.80.2.649 · Cited by 826 · see citing works
Cachexia: pathophysiology and clinical relevance1,2
Morley, J. E., Thomas, D. R., & Wilson, M.-M. G. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/83.4.735 · Cited by 786 · see citing works
Khalil, S., Mohktar, M., & Ibrahim, F. (2014) · Sensors · doi:10.3390/s140610895 · Cited by 712 · see citing works
Neonatal anthropometry: the thin–fat Indian baby. The Pune Maternal Nutrition Study
Yajnik, C. S., Fall, C. H. D., Coyaji, K., Hirve, S. S., Rao, S. R., Barker, D. J. P., Joglekar, C. V., & Kellingray, S. (2003) · International Journal of Obesity · doi:10.1038/sj.ijo.802219 · Cited by 709 · see citing works
Assessment methods in human body composition
Lee, S. Y., & Gallagher, D. (2008) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0b013e32830b5f23 · Cited by 694 · see citing works
(1996) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/64.3.524s · Cited by 549 · see citing works
Ibáñez, L., Ong, K. K., Dunger, D. B., & de Zegher, F. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2005-2778 · Cited by 545 · see citing works
Relation of BMI to fat and fat-free mass among children and adolescents
Freedman, D. S., Wang, J., Maynard, L. M., Thornton, J. C., Mei, Z., Pierson, R. N., Dietz, W. H., & Horlick, M. (2004) · International Journal of Obesity · doi:10.1038/sj.ijo.0802735 · Cited by 489 · see citing works
Body Composition during the First 2 Years of Life: An Updated Reference
Butte, N. F., Hopkinson, J. M., Wong, W. W., Smith, E. O., & Ellis, K. J. (2000) · Pediatric Research · doi:10.1203/00006450-200005000-00004 · Cited by 458 · see citing works
Radiation dose reduction in computed tomography: techniques and future perspective
Yu, L., Liu, X., Leng, S., Kofler, J. M., Ramírez-Giraldo, J. C., Qu, M., Christner, J. A., Fletcher, J. G., & McCollough, C. H. (2009) · Imaging in Medicine · doi:10.2217/iim.09.5 · Cited by 396 · see citing works
BMI does not accurately predict overweight in Asian Indians in northern India
Dudeja, V., Misra, A., Pandey, R. M., Devina, G., Kumar, G. S. H., & Vikram, N. K. (2001) · British Journal Of Nutrition · doi:10.1079/bjn2001382 · Cited by 376 · see citing works
Tomiyama, A. J., Hunger, J. M., Nguyen-Cuu, J., & Wells, C. (2016) · International Journal of Obesity · doi:10.1038/ijo.2016.17 · Cited by 349 · see citing works
Misra, A., Vikram, N. K., Gupta, R., Pandey, R. M., Wasir, J. S., & Gupta, V. P. (2006) · International Journal of Obesity · doi:10.1038/sj.ijo.0803111 · Cited by 332 · see citing works
Deurenberg‐Yap, M., Chew, S. K., & Deurenberg, P. (2002) · Obesity Reviews · doi:10.1046/j.1467-789x.2002.00069.x · Cited by 318 · see citing works
In vivo validation of whole body composition estimates from dual-energy X-ray absorptiometry
Prior, B. M., Cureton, K. J., Modlesky, C. M., Evans, E. M., Sloniger, M. A., Saunders, M., & Lewis, R. D. (1997) · Journal of Applied Physiology · doi:10.1152/jappl.1997.83.2.623 · Cited by 317 · see citing works
Misra, A. (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2015.0007 · Cited by 292 · see citing works
Report of a WHO Expert Committee
NATORI, M. (1986) · Journal of Environmental Conservation Engineering · doi:10.5956/jriet.15.734 · Cited by 291 · see citing works
Clinical Applications of Body Composition Measurements Using DXA
Albanese, C. V., Dießel, E., & Genant, H. K. (2003) · Journal of Clinical Densitometry · doi:10.1385/jcd:6:2:75 · Cited by 276 · see citing works
Kramer, H., Pickhardt, P. J., Kliewer, M. A., Hernando, D., Chen, G., Zagzebski, J. A., & Reeder, S. B. (2016) · American Journal of Roentgenology · doi:10.2214/ajr.16.16565 · Cited by 252 · see citing works
Body composition: Why, when and for who?
Thibault, R., Genton, L., & Pichard, C. (2012) · Clinical Nutrition · doi:10.1016/j.clnu.2011.12.011 · Cited by 249 · see citing works
A Hattori chart analysis of body mass index in infants and children
Wells, J. C. K. (2000) · International Journal of Obesity · doi:10.1038/sj.ijo.0801132 · Cited by 240 · see citing works
Khadilkar, V., & Khadilkar, A. (2015) · Indian Journal of Endocrinology and Metabolism · doi:10.4103/2230-8210.159028 · Cited by 220 · see citing works
Body composition in clinical practice
Andreoli, A., Garaci, F., Cafarelli, F. P., & Guglielmi, G. (2016) · European Journal of Radiology · doi:10.1016/j.ejrad.2016.02.005 · Cited by 216 · see citing works
Karlsson, A., Rosander, J., Romu, T., Tallberg, J., Grönqvist, A., Borga, M., & Leinhard, O. D. (2014) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24726 · Cited by 215 · see citing works
Body Fat Percentile Curves for U.S. Children and Adolescents
Laurson, K. R., Eisenmann, J. C., & Welk, G. J. (2011) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2011.06.044 · Cited by 203 · see citing works
Body composition assessment in the infant
Demerath, E. W., & Fields, D. A. (2014) · American Journal of Human Biology · doi:10.1002/ajhb.22500 · Cited by 200 · see citing works
Excess body fat in obese and normal-weight subjects
Thomas, E. L., Frost, G. S., Taylor-Robinson, S. D., & Bell, J. D. (2012) · Nutrition Research Reviews · doi:10.1017/s0954422412000054 · Cited by 197 · see citing works
Toward Body Composition Reference Data for Infants, Children, and Adolescents
Wells, J. C. K. (2014) · Advances in Nutrition · doi:10.3945/an.113.005371 · Cited by 173 · see citing works
Whole body fat: Content and distribution
Thomas, E. L., Fitzpatrick, J. A., Malik, S., Taylor-Robinson, S. D., & Bell, J. D. (2013) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2013.04.001 · Cited by 170 · see citing works
Withers, R. T., Laforgia, J., Pillans, R. K., SHIPP, N. J., Chatterton, B. E., Schultz, C. G., & Leaney, F. W. (1998) · Journal of Applied Physiology · doi:10.1152/jappl.1998.85.1.238 · Cited by 169 · see citing works
Hydration of fat-free body mass: new physiological modeling approach
Wang, Z., Deurenberg, P., Wang, W., Pietrobelli, A., Baumgartner, R. N., & Heymsfield, S. B. (1999) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1999.276.6.e995 · Cited by 158 · see citing works
Nightingale, C. M., Rudnicka, A. R., Owen, C. G., Cook, D. G., & Whincup, P. H. (2010) · International Journal of Epidemiology · doi:10.1093/ije/dyq180 · Cited by 158 · see citing works
Dual energy X-ray absorptiometry: Pitfalls in measurement and interpretation of bone mineral density
Garg, M., & Kharb, S. (2013) · Indian Journal of Endocrinology and Metabolism · doi:10.4103/2230-8210.109659 · Cited by 156 · see citing works
LOHMAN, T. G., HARRIS, M., TEIXEIRA, P. J., & WEISS, L. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06420.x · Cited by 153 · see citing works
Body Composition: Studies in the Human Being by the Dilution Principle
Edelman, I. S., Olney, J. M., James, A. H., Brooks, L., & Moore, F. D. (1952) · Science · doi:10.1126/science.115.2991.447 · Cited by 152 · see citing works
Thomas, E. L., & Bell, J. D. (2003) · International Journal of Obesity · doi:10.1038/sj.ijo.802229 · Cited by 111 · see citing works
Body cell mass: model development and validation at the cellular level of body composition
Wang, Z., St‐Onge, M., Beatriz Lecumberri, S., Pi-Sunyer, X., Heshka, S., Wang, J., Kotler, D. P., Gallagher, D., Wielopolski, L., Pierson, R. N., et al. (2004) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00227.2003 · Cited by 104 · see citing works
Segmentation and quantification of adipose tissue by magnetic resonance imaging
Hu, H. H., Chen, J., & Shen, W. (2016) · Magnetic Resonance Materials in Physics, Biology and Medicine · doi:10.1007/s10334-015-0498-z · Cited by 90 · see citing works
Waist circumference and waist for height percentiles in urban South Indian children aged 3–16 years
Kuriyan, R., Thomas, T. S., Puttaswamy, D., Sheth, N. R., Mahendra, A., Joy, R., Sumithra, S., Bhat, S., & Kurpad, A. V. (2011) · Indian Pediatrics · doi:10.1007/s13312-011-0126-6 · Cited by 89 · see citing works
Self-citationValidation of air displacement plethysmography for assessing body composition
Wagner, D. R., Heyward, V. H., & Gibson, A. L. (2000) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200007000-00023 · Cited by 88 · see citing works
Body mass index cut-offs for screening for childhood overweight and obesity in Indian children
Khadilkar, V. V., Khadilkar, A. V., Borade, A., & Chiplonkar, S. A. (2011) · Indian Pediatrics · doi:10.1007/s13312-012-0011-y · Cited by 85 · see citing works
Shen, W., Chen, J., Gantz, M., Velasquez, G., Punyanitya, M., & Heymsfield, S. B. (2012) · Obesity · doi:10.1038/oby.2012.168 · Cited by 85 · see citing works
Fields, D. A., Demerath, E. W., Pietrobelli, A., & Chandler-Laney, P. C. (2012) · Obesity · doi:10.1038/oby.2012.102 · Cited by 77 · see citing works
Comparison of the BOD POD with the four-compartment model in adult females
Fields, D. A., Wilson, G. D., Gladden, L. B., Hunter, G. R., Pascoe, D. D., & Goran, M. I. (2001) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200109000-00026 · Cited by 73 · see citing works
Nitrogen Retention, Total Body 40K and Weight Gain in Teenage Pregnant Girls
King, J. C., Calloway, D. H., & Margen, S. (1973) · Journal of Nutrition · doi:10.1093/jn/103.5.772 · Cited by 70 · see citing works
Automatic muscle and fat segmentation in the thigh from T1‐Weighted MRI
Orgiu, S., Lafortuna, C. L., Rastelli, F., Cadioli, M., Falini, A., & Rizzo, G. (2015) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25031 · Cited by 69 · see citing works
Wang, Z., Zhu, S., Wang, J., Pierson, R. N., & Heymsfield, S. B. (2003) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/77.1.76 · Cited by 65 · see citing works
Hydration of fat-free body mass: new physiological modeling approach
Watson, W. (2000) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.2000.278.4.e752 · Cited by 57 · see citing works
Body fat measurement in Indian men: comparison of three methods based on a two-compartment model
Bhat, D., Yajnik, C. S., Sayyad, M. G., Raut, K. N., Lubree, H., Rege, S., Chougule, S., Shetty, P. S., Yudkin, J. S., & Kurpad, A. V. (2005) · International Journal of Obesity · doi:10.1038/sj.ijo.0802953 · Cited by 57 · see citing works
Lareau-Trudel, É., Troter, A. L., Ghattas, B., Pouget, J., Attarian, S., Bendahan, D., & Salort‐Campana, E. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132717 · Cited by 56 · see citing works
Validation of expedient methods for measuring body composition in Indian adults.
Kuriyan, R., Petracchi, C., Ferro-Luzzi, A., Shetty, P. S., & Kurpad, A. V. (1998) · PubMed · Cited by 56 · see citing works
Self-citationTOTAL BODY-POTASSIUM IN KWASHIORKOR AND MARASMUS
Garrow, J. S. (1965) · The Lancet · doi:10.1016/s0140-6736(65)91420-0 · Cited by 55 · see citing works
Bourgeois, B., Ng, B. K., Latimer, D., Stannard, C., Romeo, L., Li, X., Shepherd, J. A., & Heymsfield, S. (2017) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2017.142 · Cited by 54 · see citing works
Khadilkar, A. V., Sanwalka, N. J., Chiplonkar, S. A., Khadilkar, V. V., & Pandit, D. (2013) · International Journal of Obesity · doi:10.1038/ijo.2013.19 · Cited by 50 · see citing works
(1994) · PubMed · Cited by 50 · see citing works
Total body protein: a new cellular level mass and distribution prediction model
Wang, Z., Shen, W., Kotler, D. P., Heshka, S., Wielopolski, L., Aloia, J. F., Nelson, M. E., Pierson, R. N., & Heymsfield, S. B. (2003) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/78.5.979 · Cited by 46 · see citing works
Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management
Choi, A., Kim, J. J., Jo, S., Jee, J. H., Heymsfield, S. B., Bhagat, Y. A., Kim, I.-S., & Cho, J. (2015) · Sensors · doi:10.3390/s150922151 · Cited by 44 · see citing works
Use of air displacement plethysmography for estimating body fat in a four-component model
MILLARD-STAFFORD, M. L., Collins, M. A., Evans, E. M., Snow, T. K., Cureton, K. J., & Rosskopf, L. B. (2001) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200108000-00011 · Cited by 40 · see citing works
Relationship between muscle potassium andtotal body potassium in infants with malnutrition
Nichols, B. L., Alleyne, G. A. O., Barnes, D. J., & Hazlewood, C. F. (1969) · The Journal of Pediatrics · doi:10.1016/s0022-3476(69)80007-7 · Cited by 37 · see citing works
Percentage body fat in apparently healthy school children from northern India
Khadgawat, R., Marwaha, R. K., Tandon, N., Mehan, N., Upadhyay, A. D., Sastry, A. V. R., & Bhadra, K. (2013) · Indian Pediatrics · doi:10.1007/s13312-013-0237-3 · Cited by 37 · see citing works
Kuriyan, R., Thomas, T. S., Ashok, S., Jayakumar, J., & Kurpad, A. V. (2014) · PubMed Central · Cited by 36 · see citing works
Self-citationKoo, W., Hammami, M., & Hockman, E. M. (2004) · Journal of the American College of Nutrition · doi:10.1080/07315724.2004.10719346 · Cited by 34 · see citing works
Villa, F., Magnani, A., Maggioni, M. A., Stahn, A. C., Rampichini, S., Merati, G., & Castiglioni, P. (2016) · Sensors · doi:10.3390/s16050673 · Cited by 29 · see citing works
Pandit, D., Chiplonkar, S. A., Khadilkar, A. V., Khadilkar, V. V., & Ekbote, V. H. (2009) · Clinical Medicine Insights Pediatrics · doi:10.4137/cmped.s3446 · Cited by 24 · see citing works
Wells, J. C. K., Hawton, K., Darch, T. S., & Lunn, P. G. (2009) · British Journal Of Nutrition · doi:10.1017/s0007114509991255 · Cited by 24 · see citing works
Assessing Early Growth and Adiposity: Report from an EarlyNutrition Academy Workshop
Ward, L. C., Poston, L., Godfrey, K. M., & Koletzko, B. V. (2013) · Annals of Nutrition and Metabolism · doi:10.1159/000350702 · Cited by 23 · see citing works
(2012) · Wiley eBooks · doi:10.1002/9781118338032 · Cited by 19 · see citing works
Total body potassium revisited
Murphy‐Alford, A. J., Ellis, K. J., Kurpad, A. V., Preston, T., & Slater, C. (2013) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2013.262 · Cited by 18 · see citing works
Body composition of term healthy Indian newborns
Jain, V., Kurpad, A. V., Kumar, B., Devi, S., Sreenivas, V. K., & Paul, V. K. (2015) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2015.152 · Cited by 18 · see citing works
Body Composition Percentiles in Urban South Indian Children and Adolescents
Kuriyan, R., Selvan, S., Thomas, T. S., Jayakumar, J., Puttaswamy, D., Phillip, M. P., Aravind, J. V., & Kurpad, A. V. (2018) · Obesity · doi:10.1002/oby.22292 · Cited by 11 · see citing works
Self-citationWang, Z., Heshka, S., Wang, J., & Heymsfield, S. B. (2006) · Journal of Nutrition · doi:10.1093/jn/136.4.1032 · Cited by 10 · see citing works
Mobile evaluation of human energy balance and weight control: Potential for future developments
Heymsfield, S. B., Kim, J. Y., Bhagat, Y. A., Zheng, J., Kim, I.-S., Choi, A., Jo, S., & Cho, J. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7320298 · Cited by 7 · see citing works
Evolution of the human life cycle
Bogin, B., & Smith, B. H. (1996) · American Journal of Human Biology · doi:10.1002/(sici)1520-6300(1996)8:6
Flagged first, then by citations
2 of the 92 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- [4]Cruz-Jentoft AJ Morley JE Sarcopenia 2012 Chichester, West Sussex, Hoboken NJ Wiley-Blackwell
- [33]Withers RT LaForgia J Pillans RK Shipp NJ Chatterton BE Schultz CG Comparisons of two-, three-, and four-compartment models of body composition analysis in men and women J Appl Physiol (1985) 1998 85 238 45 9655781
- [55]Moore FD The body cell mass and its supporting environment: Body composition in health and disease 1963 Philadelphia, London W. B. Saunders Co
Cited by
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Wang, M., Tan, Y., Shi, Y., Wang, X., Liao, Z., & Wei, P. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00568 · Cited by 231 · see citing works
Structural Brain Changes Associated with Overweight and Obesity
Apo, E. G., Mondragón‐Maya, A., Ferrari-Díaz, M., & Silva‐Pereyra, J. (2021) · Journal of Obesity · doi:10.1155/2021/6613385 · Cited by 203 · see citing works
Potok, O., Ix, J. H., Shlipak, M. G., Katz, R., Hawfield, A. T., Rocco, M. V., Ambrosius, W. T., Cho, M. E., Pajewski, N. M., Rastogi, A., et al. (2020) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2020.05.017 · Cited by 134 · see citing works
Single-slice CT measurements allow for accurate assessment of sarcopenia and body composition
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Visceral Adipose Tissue: The Hidden Culprit for Type 2 Diabetes
Dhokte, S., & Czaja, K. (2024) · Nutrients · doi:10.3390/nu16071015 · Cited by 116 · see citing works
Metabolic Obesity in People with Normal Body Weight (MONW)—Review of Diagnostic Criteria
Pluta, W. W., Dudzińska, W., & Lubkowska, A. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19020624 · Cited by 90 · see citing works
Comparison of Body Scanner and Manual Anthropometric Measurements of Body Shape: A Systematic Review
Rumbo-Rodríguez, L., Sánchez‐SanSegundo, M., Ferrer‐Cascales, R., García-D’Urso, N., Sánchez, J. A. H., & Zaragoza-Martí, A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18126213 · Cited by 80 · see citing works
Knowles, R., Carter, J. L., Jebb, S. A., Bennett, D., Lewington, S., & Piernas, C. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.019337 · Cited by 79 · see citing works
Sachdev, H. S., Porwal, A., Acharya, R., Ashraf, S., Ramesh, S., Khan, N., Kapil, U., Kurpad, A. V., & Sarna, A. (2021) · The Lancet Global Health · doi:10.1016/s2214-109x(21)00077-2 · Cited by 78 · see citing works
Ultra-Processed Food Intake and Increased Risk of Obesity: A Narrative Review
Monda, A., de Stefano, M. I., Villano, I., Allocca, S., Casillo, M., Messina, A., Monda, V., Moscatelli, F., Dipace, A., Limone, P., et al. (2024) · Foods · doi:10.3390/foods13162627 · Cited by 97 · see citing works
Phase angle and body composition: A scoping review
Martins, P. C., Alves, C. A. S., Silva, A. M., & Silva, D. A. S. (2023) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2023.05.015 · Cited by 78 · see citing works
Isenmann, E., Dissemond, J., & Geisler, S. (2021) · Nutrients · doi:10.3390/nu13093122 · Cited by 60 · see citing works
Body composition in patients with rheumatoid arthritis: a narrative literature review
Letarouilly, J.-G., Flipo, R., Cortet, B., Tournadre, A., & Paccou, J. (2021) · Therapeutic Advances in Musculoskeletal Disease · doi:10.1177/1759720x211015006 · Cited by 59 · see citing works
Body Composition Evaluation in Head and Neck Cancer Patients: A Review
Almada-Correia, I., Neves, P. M., Mäkitie, A. A., & Ravasco, P. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.01112 · Cited by 59 · see citing works
Updates on Methods for Body Composition Analysis: Implications for Clinical Practice
Thomas, D. M., Crofford, I., Scudder, J., Oletti, B., Deb, A., & Heymsfield, S. (2025) · Current Obesity Reports · doi:10.1007/s13679-024-00593-w · Cited by 52 · see citing works
Dupuit, M., Maillard, F., Pereira, B., Marquezi, M. L., Lancha, A. H., & Boisseau, N. (2020) · Experimental Physiology · doi:10.1113/ep088654 · Cited by 54 · see citing works
Bioelectrical Impedance Analysis and Body Composition in Cardiovascular Diseases
Popiołek-Kalisz, J., & Szczygieł, K. (2023) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2023.101911 · Cited by 51 · see citing works
Rajamoorthi, A., LeDuc, C. A., & Thaker, V. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1032491 · Cited by 47 · see citing works
Burridge, K., Christensen, S. M., Golden, A. K., Ingersoll, A. B., Tondt, J., & Bays, H. E. (2022) · Obesity Pillars · doi:10.1016/j.obpill.2021.100007 · Cited by 45 · see citing works
Chang, H., Lee, J. Y., Gil, C.-R., & Kim, M.-K. (2020) · Clinical Interventions in Aging · doi:10.2147/cia.s281131 · Cited by 42 · see citing works
Association of Premenstrual Syndrome with Adiposity and Nutrient Intake Among Young Indian Women
Thakur, H. K., Pareek, P., Sayyad, M. G., & Otiv, S. (2022) · International Journal of Women s Health · doi:10.2147/ijwh.s359458 · Cited by 41 · see citing works
Obesity and lung cancer—a narrative review
Vedire, Y., Kalvapudi, S., & Yendamuri, S. (2023) · Journal of Thoracic Disease · doi:10.21037/jtd-22-1835 · Cited by 38 · see citing works
Rochira, V., Greco, C., Boni, S., Costantino, F., Valentina, L. D., Zanni, E., Itani, L., & Ghoch, M. E. (2024) · Diseases · doi:10.3390/diseases12090204 · Cited by 34 · see citing works
Szałwińska, K., Cyuńczyk, M., Kochanowicz, J., & Witkowska, A. M. (2021) · Nutrition Journal · doi:10.1186/s12937-021-00704-6 · Cited by 35 · see citing works
Assessment of body composition by whole-body densitometry: what radiologists should know
Chaves, L. G. C. D. M., Gonçalves, T. J. M., Bitencourt, A. G. V., Rstom, R. A., Pereira, T. R., & Velludo, S. F. (2022) · Radiologia Brasileira · doi:10.1590/0100-3984.2021.0155-en · Cited by 44 · see citing works
Kottlors, J., Zopfs, D., Fervers, P., Bremm, J., Abdullayev, N., Maintz, D. C., Tritt, S., & ten Persigehl, T. (2020) · European Journal of Radiology · doi:10.1016/j.ejrad.2020.109274 · Cited by 31 · see citing works
Adipose tissue measurement in clinical research for obesity, type 2 diabetes and NAFLD/NASH
Vilalta, A., Gutierrez, J. A., Chaves, S., Hernández, M., Urbina, S., & Hompesch, M. (2022) · Endocrinology Diabetes & Metabolism · doi:10.1002/edm2.335 · Cited by 30 · see citing works
Castro, L. H. A., de Araújo, F. H. S., Olimpio, M. Y. M., Primo, R. B. D. B., Pereira, T. T., Lopes, L. A. F., Trindade, E. B. S. D. M., Fernandes, R., & Oesterreich, S. A. (2019) · Nutrients · doi:10.3390/nu11092047 · Cited by 29 · see citing works
Relationship Between Serum IGF-1 and BMI Differs by Age
Sherlala, R. A., Kammerer, C. M., Kuipers, A. L., Wojczynski, M. K., Ukraintseva, S. V., Feitosa, M. F., Mengel‐From, J., Zmuda, J. M., & Minster, R. L. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa282 · Cited by 29 · see citing works
Guo, Y., Zhang, M., Ye, T., Wang, Z., & Yao, Y. (2023) · Nutrients · doi:10.3390/nu15183941 · Cited by 28 · see citing works
Nutritional Support in Lung Cancer Patients: The State of the Art
Mele, M. C., Rinninella, E., Cintoni, M., Pulcini, G., Donato, A. D., Grassi, F., Trestini, I., Pozzo, C., Tortora, G., Gasbarrini, A., et al. (2020) · Clinical Lung Cancer · doi:10.1016/j.cllc.2020.10.008 · Cited by 28 · see citing works
Mehta, S., Huey, S. L., Fahim, S. M., Sinha, S., Rajagopalan, K., Ahmed, T., Knight, R. D., & Finkelstein, J. L. (2025) · Nature Communications · doi:10.1038/s41467-025-62985-3 · Cited by 27 · see citing works
Macêna, M. D. L., Paula, D. T. D. C., Júnior, A. E. D. S., Praxedes, D. R. S., Pureza, I. R. D. O. M., de Melo, I. S. V., & Bueno, N. B. (2022) · Nutrition Reviews · doi:10.1093/nutrit/nuac031 · Cited by 27 · see citing works
AlKhatib, A. H., & Obita, G. (2024) · Nutrients · doi:10.3390/nu16111730 · Cited by 27 · see citing works
Adult obesity diagnostic tool: A narrative review
Liu, X., He, M., & Li, Y. (2024) · Medicine · doi:10.1097/md.0000000000037946 · Cited by 26 · see citing works
González-Correa, C. H., Pineda-Zuluaga, M. C., & Mejía, F. M. (2020) · Journal of Electrical Bioimpedance · doi:10.2478/joeb-2020-0009 · Cited by 26 · see citing works
Rudakoff, L. C. S., Magalhães, E. I. D. S., Viola, P. C. D. A. F., de Oliveira, B. R., Coelho, C. C. N. D. S., Bragança, M. L. B. M., Arruda, S. P. M., Cardoso, V. C., Bettiol, H., Barbieri, M. A., et al. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.1006018 · Cited by 29 · see citing works
Navigating the Intersection: Sarcopenia and Sarcopenic Obesity in Inflammatory Bowel Disease
Calvez, V., Becherucci, G., Covello, C., Piccirilli, G., Mignini, I., Esposto, G., Laterza, L., Ainora, M. E., Scaldaferri, F., Gasbarrini, A., et al. (2024) · Biomedicines · doi:10.3390/biomedicines12061218 · Cited by 25 · see citing works
Farbo, D. J., & Rhea, D. J. (2021) · Frontiers in Pediatrics · doi:10.3389/fped.2021.724053 · Cited by 25 · see citing works
Linking epidemiology and molecular mechanisms in sarcopenic obesity in populations
El Bizri, I., & Batsis, J. A. (2020) · Proceedings of the Nutrition Society · doi:10.1017/s0029665120000075 · Cited by 23 · see citing works
Body Water Volume Estimation Using Bio Impedance Analysis: Where Are We?
Dimassi, S. E., Gautier, J., Zalc, V., Boudaoud, S., & Istrate, D. (2024) · IRBM · doi:10.1016/j.irbm.2024.100839 · Cited by 22 · see citing works
Kamruzzaman, M., Rahman, S. A., Akter, S., Shushmita, H., Ali, M. Y., Billah, M. A., Kamal, M. S., Elahi, M. T., & Paul, D. K. (2021) · PLoS ONE · doi:10.1371/journal.pone.0257055 · Cited by 21 · see citing works
Cárdenes, C. L., Sánchez-Cañete, A. M., Santamaría, S. V., Galindo, C. G., Sanz, N. M., González, A. T., Castro, E. B., Morales‐Tirado, A., Garriga, M. J., Rozas, M., et al. (2024) · Pediatric Pulmonology · doi:10.1002/ppul.27272 · Cited by 24 · see citing works
Chao, C., Wang, R., Jones, M., Karson, N., Jussel, A., Smith, J. D., Richdale, K., & Harrison, W. W. (2020) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.61.12.26 · Cited by 20 · see citing works
Li, B., Sun, L., Yu, Y., Xin, H., Zhang, H., Liu, J., & Zhang, Z. (2022) · BMC Public Health · doi:10.1186/s12889-022-14548-0 · Cited by 20 · see citing works
Jørgensen, A. N., Jensen, K. Y., Nielsen, J. L., Frandsen, U., Hvid, L. G., Bjørnshauge, M., Diederichsen, L. P., & Aagaard, P. (2021) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.14079 · Cited by 20 · see citing works
Costa, R. F. D., Silva, A. M., Masset, K. V. D. S. B., Cesário, T. D. M., Cabral, B. G. D. A. T., Ferrari, G., & Dantas, P. M. S. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.820736 · Cited by 18 · see citing works
“Whole-body-based techniques, such as anthropometry and bioelectrical impedance analysis (BIA), used as predictors in regression equations, developed and validated using DXA as the reference method, are a viable alternative for clinical evaluation since they are non-invasive, ideal for quantitative estimates of FFM and…”
MethodZein, M. A., Akomolafe, A. F., Mahmood, F. R., Khrayzat, A., Sahebkar, A., Pintus, G., Kobeissy, F. H., & Eid, A. H. (2024) · Obesity Reviews · doi:10.1111/obr.13807 · Cited by 18 · see citing works
Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome
Pouragha, H., Amiri, M., Saraei, M., Pouryaghoub, G., & Mehrdad, R. (2021) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-021-00836-w · Cited by 20 · see citing works
Evaluation of body composition parameters using various diagnostic methods: A meta analysis study
Rashmi, R., & Umapathy, S. (2019) · Obesity Medicine · doi:10.1016/j.obmed.2019.100150 · Cited by 18 · see citing works
Larsen, B. A., Klinedinst, B. S., Le, S. T., Pappas, C. A., Wolf, T., Meier, N. F., Lim, Y., & Willette, A. A. (2022) · Obesity Science & Practice · doi:10.1002/osp4.598 · Cited by 18 · see citing works
Li, H., Li, D., Wang, X., Ding, H., Wu, Q., Li, H., Wang, X., Li, K., Xiao, R., Yu, K., et al. (2022) · Nutrients · doi:10.3390/nu14214544 · Cited by 17 · see citing works
Kenney, E., Adebiyi, V. O., Seligman, H. K., Ehmke, M. D., Guthrie, J. F., Coleman‐Jensen, A., & Frongillo, E. A. (2024) · Current Nutrition Reports · doi:10.1007/s13668-024-00547-7 · Cited by 17 · see citing works
Korman, P., Kusy, K., Straburzyńska‐Lupa, A., Sillero‐Quintana, M., Zarębska, E. A., & Zieliński, J. (2024) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2024.103918 · Cited by 17 · see citing works
The Impact of Different Nutritional Approaches on Body Composition in People Living with Obesity
Galasso, M., Verde, L., Barrea, L., Savastano, S., Colao, A., Frühbeck, G., & Muscogiuri, G. (2025) · Current Obesity Reports · doi:10.1007/s13679-025-00636-w · Cited by 20 · see citing works
Jahangiri, S., Malek, M., Kalra, S., & Khamseh, M. E. (2023) · Diabetes Therapy · doi:10.1007/s13300-023-01481-7 · Cited by 16 · see citing works
Unterberger, S., Aschauer, R., Zöhrer, P. A., Draxler, A., Aschauer, M., Kager, B., Franzke, B., Strasser, E.-M., Wagner, K., & Wessner, B. (2023) · Nutrients · doi:10.3390/nu15061458 · Cited by 16 · see citing works
Dou, P., Zhang, T.-T., Xu, Y., Xue, Q., Zhang, Y., Shang, J., & Yang, X.-L. (2024) · Endocrine, Metabolic & Immune Disorders - Drug Targets · doi:10.2174/0118715303286777240223074922 · Cited by 15 · see citing works
Baş, D., Arıbal, E., Vardareli̇, E., Sönmez, Ö., Uluç, B. O., Özden, B. Ç., & Sonkaya, A. (2022) · Nutrition in Clinical Practice · doi:10.1002/ncp.10947 · Cited by 15 · see citing works
Lewis, J. I., Friis, H., Mupere, E., Wells, J. C. K., & Grenov, B. (2022) · Journal of Nutrition · doi:10.1016/j.tjnut.2022.12.028 · Cited by 15 · see citing works
Martín‐González, C., Alonso, P. F., Pérez‐Hernández, O., Abreu-González, P., Espelosín-Ortega, E., Fernández-Rodríguez, C. M., Martín‐Ponce, E., & González‐Reimers, E. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24129976 · Cited by 15 · see citing works
Riveros, N., García-Corredor, L., Martinez-Solarte, M., & Clavijo, A. ́. G. (2024) · Journal of the American Nutrition Association · doi:10.1080/27697061.2024.2320192 · Cited by 15 · see citing works
Szczepanowska-Wołowiec, B. E., Sztandera, P. K., Kotela, I., & Žák, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-69420-1 · Cited by 15 · see citing works
Li, S., Li, F., Sun, X., Ding, J., & Zhou, W. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-072317 · Cited by 15 · see citing works
Pescari, D., Mihuţa, M. S., Bena, A., & Stoian, D. (2025) · Nutrients · doi:10.3390/nu17050798 · Cited by 14 · see citing works
Influence of fat-free mass index on the survival of patients with head and neck cancer
Lapornik, N., Brumen, B. A., Plavc, G., Strojan, P., & Kozjek, N. R. (2022) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/s00405-022-07732-w · Cited by 14 · see citing works
Haidar, A., Srikanthan, P., Watson, K. E., Allison, M., Kronmal, R. A., & Horwich, T. B. (2024) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2024.02.030 · Cited by 14 · see citing works
Magni, O., Detopoulou, P., Fappa, E., Perrea, A., Levidi, D., Dedes, V., Tzoutzou, M., Gioxari, A., & Panoutsopoulos, G. I. (2024) · Diseases · doi:10.3390/diseases12050108 · Cited by 14 · see citing works
Li, S., Li, S., Ding, J., & Zhou, W. (2022) · BMC Endocrine Disorders · doi:10.1186/s12902-022-01142-z · Cited by 14 · see citing works
Wang, W., Feng, Y., Long, Q., Chen, F., Chen, Y., Ma, M., & Mao, S. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.1034894 · Cited by 14 · see citing works
Exploring obesity phenotypes: a longitudinal perspective
Rosero, R., Tamayo, M., Correa, R. R., Pantalone, K. M., Creel, D. B., Burguera, B. G., & Griebeler, M. L. (2025) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-025-09976-3 · Cited by 15 · see citing works
Whole-body morphological asymmetries in high-level female tennis players: A cross‑sectional study
Chapelle, L., Rommers, N., Clarys, P., & D’Hondt, E. (2020) · Journal of Sports Sciences · doi:10.1080/02640414.2020.1845452 · Cited by 13 · see citing works
Nutritional Status of Coronary Artery Disease Patients—Preliminary Results
Popiołek-Kalisz, J., & Błaszczak, P. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20043464 · Cited by 13 · see citing works
Ageing-associated phenotypes in mice
Xie, K., & Ehninger, D. (2023) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2023.111852 · Cited by 13 · see citing works
Body composition in pediatric patients
Zamberlan, P., Mazzoni, B. P., Bonfim, M. C., Vieira, R. R., Tumas, R., & Delgado, A. F. (2023) · Nutrition in Clinical Practice · doi:10.1002/ncp.11061 · Cited by 13 · see citing works
Armitage, R. M., Iatridi, V., Sladekova, M., & Yeomans, M. R. (2024) · International Journal of Obesity · doi:10.1038/s41366-024-01494-7 · Cited by 14 · see citing works
Body mass composition analysis as a predictor of overweight and obesity in children and adolescents
Aniśko, B., Siatkowski, I., & Wójcik, M. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1371420 · Cited by 16 · see citing works
Pescari, D., Mihuţa, M. S., Bena, A., & Stoian, D. (2024) · Nutrients · doi:10.3390/nu16193291 · Cited by 19 · see citing works
Radiation protection in non-ionizing and ionizing body composition assessment procedures
Cornacchia, S., Tegola, L. L., Maldera, A., Pierpaoli, E., Tupputi, U., Ricatti, G., Eusebi, L., Salerno, S., & Guglielmi, G. (2020) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-19-1035 · Cited by 13 · see citing works
Methods of assessing body composition and anthropometric measurements – a review of the literature
Pawlak, A., Ręka, G., Olszewska, A., Warchulińska, J., & Piecewicz‐Szczęsna, H. (2021) · Journal of Education Health and Sport · doi:10.12775/jehs.2021.11.04.002 · Cited by 13 · see citing works
Effect of obesity on venous blood flow in the lower limbs
Langan, E. A., Wienandt, M., Bayer, A. U., Ellebrecht, L.-H., & Kahle, B. K. (2023) · JDDG Journal der Deutschen Dermatologischen Gesellschaft · doi:10.1111/ddg.15062 · Cited by 12 · see citing works
Chen, Y.-H., Lee, C.-H., Chen, J., Ding, M.-Y., Liang, F.-Q., & Yang, S. (2023) · Nutrients · doi:10.3390/nu15194291 · Cited by 12 · see citing works
Lee, J.-B., Sung, B.-J., Ko, B., Cho, E.-H., & Seo, T.-B. (2023) · Journal of Exercise Rehabilitation · doi:10.12965/jer.2346404.202 · Cited by 15 · see citing works
Sánchez-Cañete, A. M., Cárdenes, C. M. L., Vicente‐Santamaría, S., Martínez, J. R. G., González, M. S., Merino, M. Á., & Jiménez, D. G. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1477674 · Cited by 12 · see citing works
Lian, R., Tang, H., Chen, Z., Chen, X., Luo, S., Jiang, W., Jiang, J., & Yang, M. J. (2025) · Aging Clinical and Experimental Research · doi:10.1007/s40520-025-02975-z · Cited by 15 · see citing works
Nutritional Status Assessment Tools in Cardiovascular Patients
Jarosz, I., Górecki, K., Kalisz, G., & Popiołek-Kalisz, J. (2025) · Nutrients · doi:10.3390/nu17162703 · Cited by 14 · see citing works
McCaskie, C. J., Sim, M., Newton, R. U., & Hart, N. H. (2021) · Physical Therapy in Sport · doi:10.1016/j.ptsp.2021.08.006 · Cited by 12 · see citing works
Sullivan, K. W., Metoyer, C. J., Hornikel, B., Holmes, C. J., Nickerson, B. S., Esco, M. R., & Fedewa, M. V. (2021) · Journal of Clinical Densitometry · doi:10.1016/j.jocd.2021.08.004 · Cited by 12 · see citing works
Preoperative Phase Angle as a Risk Indicator in Cardiac Surgery—A Prospective Observational Study
Ryz, S., Nixdorf, L., Puchinger, J., Lassnigg, A. M., Wiedemann, D., & Bernardi, M. H. (2022) · Nutrients · doi:10.3390/nu14122491 · Cited by 14 · see citing works
Rizzo, S., Raia, G., Grande, M. D., Gasparri, M. L., Colombo, I., Manganaro, L., Papadia, A., & Grande, F. D. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1057631 · Cited by 12 · see citing works
Radecka, A., & Lubkowska, A. (2023) · Diagnostics · doi:10.3390/diagnostics13091576 · Cited by 12 · see citing works
Can skinfold thickness equations be substituted for bioimpedance analysis in children?
Forte, G. C., Rodrigues, C. A. S., Mundstock, E., dos Santos, T. S., Filho, A. D., Noal, J., Amaral, M. A., Preto, L. T., Vendrusculo, F. M., & Mattiello, R. (2020) · Jornal de Pediatria · doi:10.1016/j.jped.2019.12.006 · Cited by 12 · see citing works
Prediction of fat-free mass from body surface area in young basketball players
de Moraes, A. M., Vidal-Espinoza, R., Bergamo, R. R., Gómez‐Campos, R., de Lázari, E. C., de Campos, L. F. C. C., Sulla-Torres, J. A., & Cossio‐Bolaños, M. (2024) · BMC Sports Science Medicine and Rehabilitation · doi:10.1186/s13102-024-00857-x · Cited by 11 · see citing works
Luo, Y., Liu, L., Liu, M., Tang, C., Liu, H., Wang, M., Feng, G., Wu, J., & Wu, W. (2024) · Clinical Endocrinology · doi:10.1111/cen.15171 · Cited by 11 · see citing works
Pescari, D., Mihuţa, M. S., Bena, A., & Stoian, D. L. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1493954 · Cited by 13 · see citing works
Thajer, A., Vasek, M., Schneider, S., Kautzky‐Willer, A., Kainberger, F. M., Durstberger, S., Kranzl, A., Horsak, B., & Greber‐Platzer, S. (2025) · Nutrients · doi:10.3390/nu17060971 · Cited by 12 · see citing works
Kowshik, V., Velkumary, S., Sethi, P., Feula, J. M., Subhashri, S., & Abirami, M. (2021) · Journal of Family Medicine and Primary Care · doi:10.4103/jfmpc.jfmpc_1695_20 · Cited by 11 · see citing works
The Impact of Physical Activity at School on Body Fat Content in School-Aged Children
Ługowska, K., & Kolanowski, W. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191912514 · Cited by 14 · see citing works
Wang, S., Zhang, W. S., Jiang, C. Q., Jin, Y. L., Zhu, T., Zhu, F., & Xu, L. (2023) · BMC Cancer · doi:10.1186/s12885-023-10762-0 · Cited by 10 · see citing works
He, Y., Huang, C., Luo, B., & Liao, S. (2023) · Nutrients · doi:10.3390/nu15183879 · Cited by 10 · see citing works
- Authors
- Kuriyan, R.
- Affiliations
- St. John's National Academy of Health Sciences (IN)
- Corresponding author
- Kuriyan, Rebecca
- ORCID
- Kuriyan, Rebecca
- Venue
- Indian Journal of Medical Research
- Publisher
- Scientific Scholar
- Published
- 2018-11
- Volume
- 148
- Issue
- 5
- Pages
- 648-658
- ISSN
- 0971-5916 (ISSN-L)
- PMC
- PMC6366261
- OpenAlex
- W2911737268
- Cited by
- 384
- References
- 92
- Citations by year
- 2026: 33 · 2025: 51 · 2024: 89 · 2023: 80 · 2022: 67 · 2021: 34 · 2020: 24 · 2019: 6
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- The Indian Journal of Medical Research (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Keywords
- body composition, anthropometry, tracer dilution, densitometry, dual-energy X-ray absorptiometry, air displacement plethysmography, bioelectrical impedance analysis, magnetic resonance imaging, computed tomography, obesity, wasting, stunting, nutritional status
- MeSH terms
- Anthropometry, Body Composition, Body Weights and Measures, Humans, Obesity, Dimensional Measurement Accuracy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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