The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
How Useful Is Body Mass Index for Comparison of Body Fatness across Age, Sex, and Ethnic Groups?
Abstract
This study tested the hypothesis that body mass index (BMI) is representative of body fatness independent of age, sex, and ethnicity. Between 1986 and 1992, the authors studied a total of 202 black and 504 white men and women who resided in or near New York City, were ages 20-94 years, and had BMIs of 18-35 kg/m2. Total body fat, expressed as a percentage of body weight (BF%), was assessed using a four-compartment body composition model that does not rely on assumptions known to be age, sex, or ethnicity dependent. Statistically significant age dependencies were observed in the BF%-BMI relations in all four sex and ethnic groups (p values < 0.05-0.001) with older persons showing a higher BF% compared with younger persons with comparable BMIs. Statistically significant sex effects were also observed in BF%-BMI relations within each ethnic group (p values < 0.001) after controlling first for age. For an equivalent BMI, women have significantly greater amounts of total body fat than do men throughout the entire adult life span. Ethnicity did not significantly influence the BF%-BMI relation after controlling first for age and sex even though both black women and men had longer appendicular bone lengths relative to stature (p values < 0.001 and 0.02, respectively) compared with white women and men. Body mass index alone accounted for 25% of between-individual differences in body fat percentage for the 706 total subjects; adding age and sex as independent variables to the regression model increased the variance (r2) to 67%. These results suggest that BMI is age and sex dependent when used as an indicator of body fatness, but that it is ethnicity independent in black and white adults.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“it is important to highlight that BMI was used as an indicator of body fat and obesity, and it is not a direct measure of body fatness”
From Chronological Age Does not Influence Ex-vivo Mitochondrial Respiration and Quality Control in Skeletal Muscle (2016) · cites this paper as [40]
In the citing paper
“for an equivalent BMI, older subjects have a higher percentage body fat than young subjects (40).”
From Chronological Age Does not Influence Ex-vivo Mitochondrial Respiration and Quality Control in Skeletal Muscle (2016) · cites this paper as [40]
Citations
Cites
Increasing Prevalence of Overweight Among US Adults
Kuczmarski, R. J. (1994) · JAMA · doi:10.1001/jama.272.3.205 · Cited by 2,544
Indices of relative weight and obesity
Keys, A. B., Fidanza, F., Karvonen, M. J., Kimura, N., & TAYLOR, H. L. (1972) · Journal of Chronic Diseases · doi:10.1016/0021-9681(72)90027-6 · Cited by 2,085
Body mass index as a measure of body fatness: age- and sex-specific prediction formulas
Deurenberg, P., Weststrate, J., & Seidell, J. C. (1991) · British Journal of Nutrition · doi:10.1079/bjn19910073 · Cited by 1,397
Methods for the assessment of human body composition: traditional and new
Lukaski, H. C. (1987) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/46.4.537 · Cited by 1,150
Roche, A. F., Heymsfield, S. B., & Lohman, T. G. (2005) · Medical Entomology and Zoology · Cited by 743
Self-citationTrotter, M., & Gleser, G. C. (1958) · American Journal of Physical Anthropology · doi:10.1002/ajpa.1330160106 · Cited by 649
Advances in Body Composition Assessment
Lohman, T. G. (1993) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199306000-00021 · Cited by 641
The Body Cell Mass and Its Supporting Environment
BOUMAN, H. D. (1963) · Physical Therapy · doi:10.1093/ptj/43.9.695a · Cited by 627
Lumbar disc degeneration: correlation with age, sex, and spine level in 600 autopsy specimens.
Miller, J. A., Schmatz, C., & Schultz, A. B. (1988) · PubMed · Cited by 566
Indices of obesity derived from body weight and height.
Khosla, T., & Lowe, C. R. (1967) · Journal of Epidemiology & Community Health · doi:10.1136/jech.21.3.122 · Cited by 557
Cited by
Sorted by citations
Items 901–1,000 of 1,001
Lui, D. T. W., Fong, C. H. Y., Zou, X., Xu, A., Tse, H., Woo, J., Lam, T. H., WOO, Y. C., Cheung, B. M. Y., Janus, E. D., et al. (2026) · PLoS Medicine · doi:10.1371/journal.pmed.1004749 · Cited by 10
Development and Comparison of Two Field-Based Body Fat Prediction Equations: NHANES 1999-2004
Zanovec, M. T., Wang, J., & O’Neil, C. E. (2012) · International journal of exercise science · doi:10.70252/gwey2638 · Cited by 10
Josse, A. R., Azizian, H., French, S., Kramer, J. K. G., & Phillips, S. M. (2011) · Obesity · doi:10.1038/oby.2011.39 · Cited by 10
Low Arsenic Exposure Risk in Endemic Population, Cohort Study for Consecutive Years
Biswas, A., Das, A., Roychowdhury, T., & Mazumder, D. G. (2017) · Exposure and Health · doi:10.1007/s12403-017-0260-z · Cited by 10
Non-imaging Method: Surface Anthropometry
Hume, P. A., Sheerin, K. R., & de Ridder, J. H. (2017) · Springer eBooks · doi:10.1007/978-981-10-5418-1_6 · Cited by 10
Garg, M., & Mohale, S. A. (2020) · Journal of Evolution of Medical and Dental Sciences · doi:10.14260/jemds/2020/528 · Cited by 10
Silva, M. I. B., Vale, B. S., Lemos, C. C. S., Torres, M. R. S. G., & Bregman, R. (2012) · Obesity · doi:10.1038/oby.2012.174 · Cited by 10
Sizoo, D., Stam, S. P., de Heide, L. J. M., Emous, M., van Zutphen, T., van Dijk, P. R., & van Beek, A. P. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2022.110197 · Cited by 10
Kim, C. Y., Fryar, C. D., & Ogden, C. L. (2023) · Springer eBooks · doi:10.1007/978-1-4614-6625-3_55-1 · Cited by 12
Kenangalem, E., Waramori, G., Pontororing, G. J., Sandjaja, Tjitra, E., Maguire, G. P., Kelly, P. M., Anstey, N. M., & Ralph, A. P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076077 · Cited by 10
Araújo, F., Yamada, A. T., Markus, M. R. P., Antelmi, I., Latorre, M. D. R. D. D. O., & Mansur, A. J. (2007) · Arquivos Brasileiros de Cardiologia · doi:10.1590/s0066-782x2007000600001 · Cited by 10
Kremers, S., de Bruijn, G., Visscher, T. L. S., Deeg, D. J. H., Thomése, G. C. F., Visser, M., van Mechelen, W., & Brug, J. (2012) · Journal of Environmental and Public Health · doi:10.1155/2012/127857 · Cited by 10
Self-citationChevalier, T., Lefèvre, P., Clarys, J. P., & Beauthier, J. (2016) · Journal of Forensic and Legal Medicine · doi:10.1016/j.jflm.2016.07.015 · Cited by 10
Association of change in waist circumference and dyslipidaemia risk: The rural Chinese cohort study
Zhou, J., Ren, Y., Wang, C., Li, L., Zhang, L., Wang, B., Zhao, Y., Han, C., Zhang, H., Yang, X., et al. (2017) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2949 · Cited by 10
Sarkar, J., Maity, S. K., Sen, A., Nargis, T., Ray, D., & Chakrabarti, P. (2019) · Therapeutic Advances in Endocrinology and Metabolism · doi:10.1177/2042018819889024 · Cited by 10
Boehm, L. M., Hettinger, P., LoGiudice, J. A., & Doren, E. L. (2019) · Journal of Plastic Reconstructive & Aesthetic Surgery · doi:10.1016/j.bjps.2019.11.012 · Cited by 10
Tantawy, S. A., Karamat, N. I., Gannas, R. S. A., Khadem, S. A., & Kamel, D. M. (2020) · Open Access Macedonian Journal of Medical Sciences · doi:10.3889/oamjms.2020.3226 · Cited by 10
Optimal BMI cutoff points in obesity screening for Chinese college students
Wang, Z., Wang, J., Shi, Y., Fang, Q., Tan, Q., Wang, M., & Li, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1017645 · Cited by 10
Kim, N. Y., & Choi, Y. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12113676 · Cited by 11
Physical and Clinical Assessment of Nutrition Status
Saltzman, E. J., & Mogensen, K. M. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-391884-0.00003-2 · Cited by 10
Chakraborty, R., & Bose, K. (2009) · The Open Obesity Journal · doi:10.2174/1876823700901000032 · Cited by 10
Hsiao, F., Hsieh, C., Wu, C., Hsu, C., Lin, J., Lee, T.-I., Pei, D., & Chen, Y.-L. (2013) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2013.03.013 · Cited by 10
Change in BMI Accurately Predicted by Social Exposure to Acquaintances
Oloritun, R. O., Ouarda, T. B. M. J., Moturu, S. T., Madan, A., Pentland, A., & Khayal, I. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079238 · Cited by 10
Ikeura, T., Kato, K., Takaoka, M., Shimatani, M., Kishimoto, M., Nishi, K., Kariya, S., & Okazaki, K. (2017) · Hepatobiliary & pancreatic diseases international · doi:10.1016/s1499-3872(17)60057-2 · Cited by 10
Boriani, G., Vitolo, M., Malavasi, V. L., Proietti, M., Fantecchi, E., Diemberger, I., Fauchier, L., Marín, F. R., Näbauer, M., Potpara, T., et al. (2022) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwac115 · Cited by 10
Ward, C. L., Valentine, R. J., & Evans, E. M. (2014) · Journal of Aging and Physical Activity · doi:10.1123/japa.2012-0098 · Cited by 10
Newton, K. M., & LaCroix, A. Z. (1996) · Journal of Women s Health · doi:10.1089/jwh.1996.5.433 · Cited by 10
Evans, E. M., Ross, K. M., Heinrichs, K. L., McAuley, E., & Rosengren, K. S. (2005) · Osteoporosis International · doi:10.1007/s00198-005-1918-0 · Cited by 10
Uauy, R. D., & Lock, K. (2005) · International Journal of Epidemiology · doi:10.1093/ije/dyi266 · Cited by 10
Isoyama, Y., Nose‐Ogura, S., Ijitsu, M. J., Kruse, J. G. S., Nagai, N., Kayaba, M., Ogata, H., Mangalam, M., & Kiyono, K. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1379897 · Cited by 9
Pérez, M. Á., Urrejola-Contreras, G. P., Alvarez, B., Steilen, C., Latorre, A., & Torres-Banduc, M. A. (2024) · PeerJ · doi:10.7717/peerj.18430 · Cited by 9
Antretter, T., Wesemann, H., Djokovic, D., Souitaris, V., & Wincent, J. (2025) · Journal of Business Venturing · doi:10.1016/j.jbusvent.2025.106510 · Cited by 9
Aravindakshan, M. R., Maity, S. K., Paul, A., Chakrabarti, P., Mandal, C., & Sarkar, J. (2022) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2021-002654 · Cited by 9
Wu, D., Shi, L., Xu, Q., Zeng, Y., Lin, X., Li, X., Zhao, H., Zhu, Z., Fu, Y., Li, H., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.915490 · Cited by 9
Takaoka, S., Hamada, T., Takahara, N., Fukuda, R., Hakuta, R., Ishigaki, K., Kanai, S., Kurihara, K., Matsui, H., Michihata, N., et al. (2024) · Journal of Gastroenterology · doi:10.1007/s00535-024-02124-9 · Cited by 9
Age-appropriate BMI cut-offs for malnutrition among older adults in India
Singh, A., & Chattopadhyay, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-63421-0 · Cited by 9
Karakus, M., Gelışgen, R., Topçuoğlu, A., Güralp, O., Topçuoǧlu, D., Şimşek, G., Uludağ, S., & Uzun, H. (2012) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-012-2437-9 · Cited by 9
Pattern and Prevalence of Underweight, Overweight and Obesity Among Young Adult Nigerians
Ogunlade, O. (2015) · American Journal of Biomedical and Life Sciences · doi:10.11648/j.ajbls.20150302.11 · Cited by 9
Qin, P., Chen, Q., Wang, T., Chen, X., Zhao, Y., Li, Q., Zhou, Q., Guo, C., Liu, D., Tian, G., et al. (2020) · Journal of Human Hypertension · doi:10.1038/s41371-020-0322-8 · Cited by 9
Newer anti-diabetic therapies with low hypoglycemic risk-potential advantages for frail older people
Emmerton, D., & Abdelhafiz, A. H. (2021) · Hospital Practice · doi:10.1080/21548331.2021.1905414 · Cited by 9
The role of body height as a co‐factor of excess weight in Switzerland
Rickenbacher, M., Gültekin, N., Stanga, Z. G., Bender, N., Staub, K., Wells, J. C. K., Matthes, K. L., & Reber, E. (2022) · American Journal of Human Biology · doi:10.1002/ajhb.23754 · Cited by 9
Status of U.S. Military Retirees and Their Spouses toward Achieving Healthy People 2010 Objectives
Kress, A., Hartzell, M. C., Peterson, M. R., Williams, T. V., & Fagan, N. K. (2006) · American Journal of Health Promotion · doi:10.4278/0890-1171-20.5.334 · Cited by 9
Chung, S., Hlatky, M. A., Stone, R. A., Rana, J. S., Escobedo, J., Rogers, W. J., Bromberger, J. T., Kelsey, S. F., & Brooks, M. M. (2011) · American Heart Journal · doi:10.1016/j.ahj.2011.03.019 · Cited by 9
Gender Associated High Body Mass Index in Allergic Diseases
Lokaj‐Berisha, V., Lumezi, B. G., Bejtullahu, G., Latifi-Pupovci, H., Gjurgjeala, N. K., Berisha, N., & Morina, T. (2014) · Open Access Macedonian Journal of Medical Sciences · doi:10.3889/oamjms.2015.008 · Cited by 9
Fat Mass Gain Predicts Estimated GFR Decline in a Relatively Healthy Korean Population
Hyun, Y. Y., Kim, H. Y., & Lee, K. (2014) · Nephron Clinical Practice · doi:10.1159/000360363 · Cited by 9
Arlappa, N. (2014) · International Journal of Clinical Cardiology · doi:10.23937/2378-2951/1410003 · Cited by 9
Correlation between Obesity and Lumbar Lordosis in Obese Pre- Menopausal Korean Females
Song, M., Chung, W., Kim, S.-S., & Shin, H. D. (2004) · 대한한의학회지 · Cited by 9
Tuğcu, A., Russo, C. A., Jin, Z., Homma, S., Nakanishi, K., Elkind, M. S. V., Rundek, T., Sacco, R. L., & Tullio, M. R. D. (2017) · European Heart Journal - Cardiovascular Imaging · doi:10.1093/ehjci/jex236 · Cited by 9
Physical and Psychological Evaluation
Malamed, S. F. (2010) · Elsevier eBooks · doi:10.1016/b978-0-323-05680-9.00005-9 · Cited by 9
Segura‐Fragoso, A., Padial, L. R., Alonso-Moreno, F. J., Villarín-Castro, A., Rojas-Martelo, G. A., Rodríguez-Roca, G. C., & Sánchez-Pérez, M. D. C. (2019) · Medicina de Familia SEMERGEN · doi:10.1016/j.semerg.2019.02.013 · Cited by 9
Handgrip strength and flexibility and their association with anthropometric variables in the elderly
Silva, N. D. A., de Menezes, T. N., de Melo, R. L. P., & Pedraza, D. F. (2013) · Revista da Associação Médica Brasileira (English Edition) · doi:10.1016/s2255-4823(13)70445-4 · Cited by 9
Anthropometric Indices and Their Relationship With Coronary Artery Diseases
Arjmand, G., Shidfar, F., Nojoomi, M., & Amirfarhangi, A. (2015) · Health Scope · doi:10.17795/jhealthscope-25120 · Cited by 9
Body mass index and body fat among adult Bengalee male slum dwellers in West Bengal, India
Chakraborty, R., Bose, K., Khongsdier, R., & Bisai, S. (2009) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2009.03.003 · Cited by 9
Thakkar, N. A., Jamnik, V., & Ardern, C. I. (2018) · Journal of Public Health · doi:10.1093/pubmed/fdy060 · Cited by 10
Association between Body Composition and Body Mass Index in Young Japanese Women.
Yamagishi, H., KITANO, T., Kuchiki, T., Okazaki, H., & SHIBATA, S. (2002) · Journal of Nutritional Science and Vitaminology · doi:10.3177/jnsv.48.201 · Cited by 9
Bachrach‐Lindström, M. (1999) · Journal of Nutritional & Environmental Medicine · doi:10.1080/13590849961843 · Cited by 9
Commentary: Body mass index persists as a sensible beginning to comprehensive risk assessment
Lukaski, H. C. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu059 · Cited by 9
Physical Capacity and Workload among Ageing Workers
Savinainen, M. (2004) · Tampere University Institutional Repository (Tampere University) · Cited by 9
Associations of truncal body composition with cognitive status in patients with dementia
Kim, S., Kim, J. O., Kwon, K. J., Han, S., & Moon, Y. (2020) · Neurological Sciences · doi:10.1007/s10072-020-04503-5 · Cited by 8
Rashidi, Z., Beigi, R., Ghahfarrokhi, M. M., Faramarzi, M., Banitalebi, E., Jafari, T., Earnest, C. P., & Baker, J. S. (2021) · Obesity Medicine · doi:10.1016/j.obmed.2021.100351 · Cited by 8
Pichardo, M. S., Esserman, D. A., Ferrucci, L. M., Molina, Y., Chlebowski, R. T., Pan, K., Garcia, D. O., Lane, D. S., Shadyab, A. H., Lopez‐Pentecost, M., et al. (2022) · Cancer · doi:10.1002/cncr.34428 · Cited by 8
Tsigos, C., Bitzur, R., Kleinman, Y., Cohen, H., Cahn, A., Brambilla, G., Mancia, G., & Grassi, G. M. (2013) · Diabetes Care · doi:10.2337/dcs13-2021 · Cited by 8
Hypertension and its association with anthropometric indexes among pre-university students
Cheah, W. L., Hazmi, H., Chia, H. Q., Tindin, E., Zafri, N. A. A., & Shah, S. H. M. (2015) · International Journal of Adolescent Medicine and Health · doi:10.1515/ijamh-2015-0020 · Cited by 8
On equal footing: Trends in ankle/foot injuries for men vs. women
Dischinger, P. C., Kufera, J. A., Ho, S. M., Ryb, G. E., & Wang, S. C. (2016) · Traffic Injury Prevention · doi:10.1080/15389588.2016.1192283 · Cited by 8
Bakir, M. A., Hammad, K. B., & Mohammad, L. (2017) · Anthropological Review · doi:10.1515/anre-2017-0013 · Cited by 8
Shin, K., Hong, S. B., & Shin, K. S. (2017) · Journal of Experimental & Biomedical Sciences/Biomedical Science Letters · doi:10.15616/bsl.2017.23.2.57 · Cited by 8
Ono, H., Akahoshi, K., & Kai, M. (2022) · Archives of Public Health · doi:10.1186/s13690-022-00836-z · Cited by 10
Divala, O., Mwakhwawa, Q., Phiri, M. M., Owino, V. O., Kari, K. E., & Maleta, K. M. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-058551 · Cited by 8
Lu, W., Zhao, X., Sheng, J., Zhao, X., Tang, Q., Zhang, H., Feng, Y., & Niu, Y. (2023) · Nutrition Journal · doi:10.1186/s12937-023-00874-5 · Cited by 8
Khalil, M., Abdallah, H., Jaber, N., Garruti, G., Ciaula, A. D., & Portincasa, P. (2024) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2024.08.014 · Cited by 9
Determinants of Accelerated Small Intestinal Transit in Alcohol-Related Chronic Pancreatitis
Rosa-e-Silva, L., Troncon, L. E. D. A., Gallo, L., Foss, M. C., Passos, A. D. C., Perdoná, G. C., Achcar, J. A., & de Oliveira, R. B. (2009) · Digestive Diseases and Sciences · doi:10.1007/s10620-009-0802-8 · Cited by 8
Mukherjee, S. (2013) · Psychiatry Journal · doi:10.1155/2013/230928 · Cited by 8
Measuring obesity: results are poles apart obtained by BMI and bio-electrical impedance analysis
Mittal, R., Goyal, M. M., Dasude, R. C., Zahiruddin, Q. S., & Basak, A. (2011) · Journal of Biomedical Science and Engineering · doi:10.4236/jbise.2011.411084 · Cited by 8
IMC: HERRAMIENTA POCO ÚTIL PARA DETERMINAR EL PESO IDEAL DE UN DEPORTISTA
Kweitel, S. (2007) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 8
Nicklas, B. J., Penninx, B. W. J. H., Cesari, M., Kritchevsky, S. B., Newman, A. B., Kanaya, A. M., Pahor, M., Ding, J., & Harris, T. B. (2005) · Obstetrical & Gynecological Survey · doi:10.1097/01.ogx.0000156088.22143.86 · Cited by 8
Self-citationPark, M., & Park, P.-S. (2016) · 대한지역사회영양학회지 · doi:10.5720/kjcn.2016.21.1.102 · Cited by 8
Actual Body Weight and the Parent’s Perspective of Child’s Body Weight among Rural Canadian Children
Karunanayake, C. P., Rennie, D., Hildebrand, C., Lawson, J. A., Hagel, L. M., Dosman, J. A., Pahwa, P., & The Saskatchewan Rural Health Study Team (2016) · Children · doi:10.3390/children3030013 · Cited by 8
Garcı́a, M., Martínez-Moreno, J. M., Reyes-Ortiz, A., Suarez-Arrones, L. J., A, A. G., & García-Caballero, M. (2014) · PubMed · doi:10.3305/nh.2014.29.4.7227 · Cited by 8
Time to redefine body mass index categories in chronic diseases? Spotlight on obesity paradox
Egom, E. E. A., Pharithi, R. B., Shiwani, H. A., Khan, B. U., Kružliak, P., Hiani, Y. E., & Maher, V. M. G. (2017) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2017.1389859 · Cited by 8
Sex steroid hormones, leptin, and high‐sensitivity C‐reactive protein levels in adolescents
de Dios, O., Herrero, L., Vales‐Villamarín, C., Mahíllo, I., Soriano‐Guillén, L., & Garcés, C. (2020) · Andrology · doi:10.1111/andr.12962 · Cited by 8
Ghimire, U., & Vatsa, R. (2021) · SSM - Population Health · doi:10.1016/j.ssmph.2021.100781 · Cited by 8
Zhang, L. (2012) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · Cited by 8
Abe, T., Loenneke, J. P., & Fukunaga, T. (2014) · Journal of Clinical Gerontology and Geriatrics · doi:10.1016/j.jcgg.2014.01.006 · Cited by 9
Debnath, S., Mondal, N., & Sen, J. (2018) · Anthropological Review · doi:10.2478/anre-2018-0011 · Cited by 8
Bekelman, T. A., Santamaría‐Ulloa, C., & Dufour, D. L. (2019) · Journal of Biosocial Science · doi:10.1017/s0021932019000403 · Cited by 8
Lipid profile prediction based on artificial neural networks
Vrbaški, M., Doroslovački, R., Kupusinac, A., Stokić, E., & Ivetić, D. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-019-01374-3 · Cited by 8
Computational approach to body mass index estimation from dressed people in 3D space
Jiang, M., Shang, Y., & Guo, G. (2020) · IET Image Processing · doi:10.1049/iet-ipr.2019.1170 · Cited by 8
The relationship between microalbuminuria, overweight and obesity
Hemayati, R., Kaseb, F., Ghadiri‐Anari, A., & Yosefi, F. (2020) · Journal of Nephropathology · doi:10.34172/jnp.2020.41 · Cited by 8
Modelling the relationship between body fat and the BMI.
Mills, T. C., Gallagher, D., Wang, J., & Heshka, S. (2007) · PubMed · Cited by 8
Self-citationThe effects of allergic rhinitis on growth, development and body mass indexes in school children
Paksoy, M., Eken, M., Aydın, S., Oktay, Z. A., Hardal, Ü., Şanlı, A., & Zeren, N. Y. (2010) · Indian Journal of Otolaryngology and Head & Neck Surgery · doi:10.1007/s12070-010-0015-7 · Cited by 8
Asian Indian adolescents from Guadeloupe are fatter than their island counterparts
Sinnapah, S., Antoine‐Jonville, S., & Hüe, O. (2009) · British Journal Of Nutrition · doi:10.1017/s000711450999122x · Cited by 8
Growth Hormone and Body Composition
Mersebach, H., & Feldt‐Rasmussen, U. (2005) · KARGER eBooks · doi:10.1159/000088423 · Cited by 8
Gacouin, A., Maamar, A., Terzi, N., & Tadié, J. (2025) · BMC Pulmonary Medicine · doi:10.1186/s12890-025-03614-z · Cited by 7
Yan, Z., Chang, X., Liu, Z., Liu, R., & Du, X. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1492082 · Cited by 7
Health Care Providers' Advice on Lifestyle Modification for Older Adults
Haider, S., Grabovac, I., Smith, L., Štefanac, S., Jackson, S. E., Li, Y., Cao, C., Waldhoer, T., Zhang, Y., Dorner, T. E., et al. (2019) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2019.07.019 · Cited by 7
Parametric Design of Height and Weight Measuring System
Erinle, T. J., Oladebeye, D. H., & Ademiloye, I. B. (2020) · IJIREEICE · doi:10.17148/ijireeice.2020.8705 · Cited by 7
Association between obesity and lung function changes by sex and age in adults with asthma
Kim, M., Cho, S., Jung, J., Choi, B.-W., Kim, S., Park, H., Jang, A., Jin, H. J., Shin, Y. S., Kim, M., et al. (2020) · Journal of Asthma · doi:10.1080/02770903.2020.1839904 · Cited by 7
The association of low body mass index with neonatal morbidities in preterm infants
Lee, B. K., Lee, J. H., Shin, J., Jung, Y. H., & Choi, C. W. (2021) · Scientific Reports · doi:10.1038/s41598-021-98338-5 · Cited by 7
Javed, A. A., Ma, J., Anderson, L. N., Mayhew, A., So, H. Y., Griffith, L. E., Gilsing, A., & Raina, P. S. (2022) · International Journal of Obesity · doi:10.1038/s41366-022-01069-4 · Cited by 7
A hybrid feature selection algorithm using simplified swarm optimization for body fat prediction
Lai, C.-M., Chiu, C.-C., Shih, Y.-C., & Huang, H. (2022) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2022.107183 · Cited by 7
Metadata
- Authors
- Gallagher, D., Visser, M., Sepulveda, D., Pierson, R. N., Harris, T., & Heymsfield, S. B.
- Affiliations
- St. Luke's-Roosevelt Hospital Center (US)
- Wageningen University & Research (NL)
- National Institutes of Health (US)
- Corresponding author
- Gallagher, D.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1996-02-01
- Volume
- 143
- Issue
- 3
- Pages
- 228-239
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2146056535
- Cited by
- 1,513
- References
- 48
- Citations by year
- 2026: 22 · 2025: 39 · 2024: 50 · 2023: 42 · 2022: 58 · 2021: 51 · 2020: 69 · 2019: 63 · 2018: 63 · 2017: 63 · 2016: 73 · 2015: 92 · 2014: 81 · 2013: 85 · 2012: 62
- FWCI
- 10.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases (P01-DK37352)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- body mass index, body fat percentage, body composition, age differences, sex differences, ethnic differences, Black and White adults, four-compartment model, obesity indices
- MeSH terms
- Adipose Tissue, Adult, Age Factors, Aged, Aged, 80 and over, Anthropometry, Body Composition, Cross-Sectional Studies, Ethnicity, Female, Humans, Male, Middle Aged, New York City, Regression Analysis, Sex Factors, Body Mass Index
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 ›
Are you an author, or do you see a problem with this page? Request a review