The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
A population-based approach to define body-composition phenotypes
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Cites
Epidemiology of Sarcopenia among the Elderly in New Mexico
Baumgartner, R. N., Koehler, K. M., Gallagher, D., Romero, L., Heymsfield, S. B., Ross, R. R., Garry, P. J., & Lindeman, R. D. (1998) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009520 · Cited by 4,004
Self-citationPrado, C. M., Lieffers, J. R., McCargar, L. J., Reiman, T., Sawyer, M. B., Martin, L., & Baracos, V. E. (2008) · The Lancet Oncology · doi:10.1016/s1470-2045(08)70153-0 · Cited by 3,238
Self-citationBody 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
Sarcopenic Obesity Predicts Instrumental Activities of Daily Living Disability in the Elderly
Baumgartner, R. N., Wayne, S. J., Waters, D. L., Janssen, I., Gallagher, D., & Morley, J. E. (2004) · Obesity Research · doi:10.1038/oby.2004.250 · Cited by 937
Diets with high or low protein content and glycemic index for weight-loss maintenance
Larsen, T. M., Dalskov, S.-M., van Baak, M., Jebb, S. A., Papadaki, A., Pfeiffer, A. F. H., Martinez, J. A., Handjieva-Darlenska, T., Kunešová, M., Pihlsgård, M., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1007137 · Cited by 843
Sarcopenic obesity: a critical appraisal of the current evidence
Prado, C. M. M., Wells, J. C. K., Smith, S. R., Stephan, B. C. M., & Siervo, M. (2012) · Clinical Nutrition · doi:10.1016/j.clnu.2012.06.010 · Cited by 589 · cited 1×
“Despite the growing interest in understanding this body-composition phenotype, a diagnostic consensus still has not been reached, as is evident in the contrasting results reported in the medical literature (6).”
ResultSelf-citationPhysical frailty and body composition in obese elderly men and women
Villareal, D. T., Banks, M., Siener, C., Sinacore, D. R., & Klein, S. (2004) · Obesity Research · doi:10.1038/oby.2004.111 · Cited by 459
Sarcopenic Obesity: The Confluence of Two Epidemics
Roubenoff, R. (2004) · Obesity Research · doi:10.1038/oby.2004.107 · Cited by 453
Clinical detection of sarcopenic obesity by bioelectrical impedance analysis
Heber, D., Ingles, S., Ashley, J., Maxwell, M., Lyons, R., & Elashoff, R. (1996) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/64.3.472s · Cited by 198
Waters, D. L., & Baumgartner, R. N. (2011) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2011.03.007 · Cited by 185
Cited by
Lean Tissue Imaging: A New Era for Nutritional Assessment and Intervention
Prado, C. M. M., & Heymsfield, S. B. (2014) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607114550189 · Cited by 550
Self-citationLim, J. U., Lee, J. H., Kim, J. S., Hwang, Y. I., Kim, T.-H., Lim, S. Y., Yoo, K. H., Jung, K.-S., Kim, Y. K., & Rhee, C. K. (2017) · International Journal of Chronic Obstructive Pulmonary Disease · doi:10.2147/copd.s141295 · Cited by 549
Shepherd, J. A., Ng, B. K., Sommer, M. J., & Heymsfield, S. B. (2017) · Bone · doi:10.1016/j.bone.2017.06.010 · Cited by 460
Self-citationDonini, L. M., Busetto, L., Bauer, J. M., Bischoff, S., Boirie, Y., Cederholm, T., Cruz-Jentoft, A. J., Dicker, D., Frühbeck, G., Giustina, A., et al. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2019.11.024 · Cited by 326
Self-citationEpidemiology and determinants of type 2 diabetes in south Asia
Hills, A. P., Arena, R., Khunti, K., Yajnik, C. S., Jayawardena, R., Henry, C. J., Street, S. J., Soares, M. J., & Misra, A. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30204-3 · Cited by 290
Metadata
- Authors
- Prado, C. M., Siervo, M., Mire, E., Heymsfield, S. B., Stephan, B. C., Broyles, S., Smith, S. R., Wells, J. C., & Katzmarzyk, P. T.
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 99
- Issue
- 6
- Pages
- 1369-1377
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2141320404
- Cited by
- 167
- References
- 12
- FWCI
- 9.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: A population-based approach to define body-composition phenotypes. https://app.cochat.ai/papers/10.3945/ajcn.113.078576
- The paper
- Prado, C. M., Siervo, M., Mire, E., Heymsfield, S. B., Stephan, B. C., Broyles, S., Smith, S. R., Wells, J. C., & Katzmarzyk, P. T. (2014). A population-based approach to define body-composition phenotypes. The American Journal of Clinical Nutrition. https://doi.org/10.3945/ajcn.113.078576
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
