The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Relationship between body composition, body mass index and bone mineral density in a large population of normal, osteopenic and osteoporotic women
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“the positive character of the lumbar spine BMD correlation with lean body mass was demonstrated after taking into account age and body mass [24, 25]”
From Bone mineral density in elite masters athletes: the effect of body composition and long-term exercise (2021) · cites this paper as [25]
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Cites
Body mass index as a predictor of fracture risk: A meta-analysis
De Laet, C., Kanis, J. A., Odén, A., Johanson, H., Johnell, O., Delmas, P., Eisman, J. A., Kroger, H., Fujiwara, S., Garnero, P., et al. (2005) · Osteoporosis International · doi:10.1007/s00198-005-1863-y · Cited by 1,622
Research works printed but not linked: 18
- Wallace LS, Ballard JE (2002) Lifetime physical activity and calcium intake related to bone density in young women. J Womens Health Gend Based Med 11:389–398 · DOI
- Crepaldi G, Romanato G, Tonin P, Maggi S (2007) Osteoporosis and body composition. J Endocrinol Invest 30(6 Suppl):42–47
- Cummings SR, Nevitt MC, Browner WS et al (1995) Risk factors for hip fracture in white women. Study of Osteoporotic Fractures Research Group. N Engl J Med 332:767–773 · DOI · Paper page
- Porthouse J, Birks YF, Torgerson DJ et al (2004) Risk factors for fracture in a UK population: a prospective cohort study. QJM 97:569–574 · DOI
- Chu SP, Kelsey JL, Keegan TH et al (2004) Risk factors for proximal humerus fracture. Am J Epidemiol 160:360–367 · DOI
- Gnudi S, Sitta E, Lisi L (2009) Relationship of body mass index with main limb fragility fractures in postmenopausal women. J Bone Miner Metab 27:479–484 · DOI
- Beck TJ, Petit MA, Wu G et al (2009) Does obesity really make the femur stronger? Bone mineral density, geometry and fracture incidence in the Women’s Health Initiative-Observational Study. J Bone Miner Res 24:1369–1379 · DOI · Paper page
- WHO (1995) Physical status: the use and interpretation of anthropometry. Technical Report Series 854. WHO, Geneva
- Pedrazzoni M, Girasole G, Bertoldo F et al (2003) Definition of a population-specific DXA reference standard in Italian women: the Densitometric Italian Normative Study (DINS). Osteoporos Int 14:978–982 · DOI
- Guglielmi G, Giannatempo GM, Blunt BA et al (1995) Spinal bone mineral density by quantitative CT in a normal Italian population. Eur Radiol 5:269–275 · DOI
- Guglielmi G, De Serio A, Fusilli S et al (2000) Age-related changes assessed by peripheral QCT in healthy Italian women. Eur Radiol 10:609–614 · DOI
- Andreoli A, Scalzo G, Masala S et al (2009) Body composition assessment by dual-energy X-ray absorptiometry (DXA). Radiol Med 114:286–300 · DOI
- Chumlea WC, Guo SS (1999) Body mass and bone mineral quality Curr Opin Rheumatol 11:307–311 · DOI
- Capozza RF, Cointry GR, Cure-Ramírez P et al (2004) A DXA study of muscle-bone relationships in the whole body and limbs of 2512 normal men and pre- and post-menopausal women. Bone 35:283–295 · DOI · Paper page
- Cure-Cure C, Capozza RF, Cointry GR et al (2005) Ferretti Reference charts for the relationships between dual-energy X-ray absorptiometry-assessed bone mineral content and lean mass in 3,063 healthy men and premenopausal and postmenopausal women. Osteoporos Int 16:2095–2106 · DOI
- Hsu YH, Venners SA, Terwedow HA et al (2006)Relation of body composition, fat mass, and serum lipids to osteoporotic fractures and bone mineral density in Chinese men and women. Am J Clin Nutr 83:146–154 · DOI · Paper page
- WHO (1998) Obesity: preventing and managing the global epidemic. Report on a WHO Consultation on Obesity, Geneva, 3–5 June, 1997 WHO/NUT/NCD/98.1. WHO, Geneva
- De Lorenzo A, Deurenberg P, Pietrantuono M et al (2003) How fat is obese? Acta Diabetol 40:S254–S257 · DOI
Cited by
Quantitative imaging techniques for the assessment of osteoporosis and sarcopenia
Guerri, S., Mercatelli, D., Aparisi Gómez, M. P., Napoli, A., Battista, G., Guglielmi, G., & Bazzocchi, A. (2018) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims.2018.01.05 · Cited by 169
Self-citationAli, D., Tencerova, M., Figeac, F., Kassem, M., & Jafari, A. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.981487 · Cited by 122
Kopiczko, A., Adamczyk, J. G., Gryko, K., & Popowczak, M. (2021) · European Review of Aging and Physical Activity · doi:10.1186/s11556-021-00262-0 · Cited by 24
The Impact of Age and Body Composition on Bone Density among Office Worker Women in Hungary
Vári, B., Győri, F., Katona, Z., & Berki, T. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20115976 · Cited by 9
Metadata
- Authors
- Andreoli, A., Bazzocchi, A., Celi, M., Lauro, D., Sorge, R., Tarantino, U., & Guglielmi, G.
- Venue
- La radiologia medica
- Published
- 2011-06-04
- Volume
- 116
- Issue
- 7
- Pages
- 1115-1123
- ISSN
- 0033-8362
- 1826-6983
- Cited by
- 38
- References
- 1
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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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.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
