The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Factors influencing body composition in persons with spinal cord injury: a cross-sectional study
Abstract
To determine the body composition differences across age, 133 men with chronic spinal cord injury (SCI) (66 with tetraplegia, 67 with paraplegia) were compared with an age-, height-, and ethnicity-matched able-bodied male reference population ( n = 100) using two different dual-energy X-ray absorptiometry densitometers. The effects of duration of injury, level, and completeness of lesion were analyzed in the SCI population. Independent of age, total body and regional lean mass were lower and fat mass was higher in persons with SCI compared with controls. The SCI group was 13 ± 1% (means ± SE) fatter per unit of body mass index (kg/m 2) compared with the control group ( P < 0.0001). Advancing age was strongly associated with less lean mass and greater adiposity in those with SCI, whereas it was mildly related in the controls. Total body and regional arm and trunk, but not leg, lean tissues were lower in subjects with SCI, across all ages, than in the controls. In summary, persons with SCI were fatter for any body mass index and demonstrated significantly less lean and more adipose tissues for any given age compared with controls.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Castro, M. J., Apple Jr, D. F., Hillegass, E. A., & Dudley, G. A. (1999) · European Journal of Applied Physiology and Occupational Physiology · doi:10.1007/s004210050606 · Cited by 383
Continuous Loss of Bone During Chronic Immobilization: A Monozygotic Twin Study
Bauman, W. A., Spungen, A. M., Wang, J., Pierson Jr, R. N., & Schwartz, E. (1999) · Osteoporosis International · doi:10.1007/s001980050206 · Cited by 158
Self-citation
Cited by
Giangregorio, L., & McCartney, N. (2006) · The Journal of Spinal Cord Medicine · doi:10.1080/10790268.2006.11753898 · Cited by 335
Verheggen, R. J. H. M., Maessen, M. F. H., Green, D. J., Hermus, A. R. M. M., Hopman, M. T. E., & Thijssen, D. H. T. (2016) · Obesity Reviews · doi:10.1111/obr.12406 · Cited by 318
Obesity after spinal cord injury
Gater, D. R. (2007) · Physical Medicine and Rehabilitation Clinics of North America · doi:10.1016/j.pmr.2007.03.004 · Cited by 228
Buchholz, A. C., & Bugaresti, J. M. (2005) · Spinal Cord · doi:10.1038/sj.sc.3101744 · Cited by 213
Energy expenditure in chronic spinal cord injury
Buchholz, A. C., & Pencharz, P. B. (2004) · Current Opinion in Clinical Nutrition and Metabolic Care · doi:10.1097/00075197-200411000-00008 · Cited by 176
Weaver, F. M., Collins, E. G., Kurichi, J., Miskevics, S., Smith, B., Rajan, S., & Gater, D. (2007) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0b013e31802b8937 · Cited by 148
Nash, M. S., Groah, S. L., Gater, D. R., Dyson-Hudson, T. A., Lieberman, J. A., Myers, J., Sabharwal, S., Taylor, A. J., & Consortium for Spinal Cord Medicine (2018) · Topics in Spinal Cord Injury Rehabilitation · doi:10.1310/sci2404-379 · Cited by 126
Identification and Management of Cardiometabolic Risk after Spinal Cord Injury
Nash, M. S., Groah, S. L., Gater, D. R., Dyson-Hudson, T. A., Lieberman, J. A., Myers, J., Sabharwal, S., & Taylor, A. J. (2019) · The Journal of Spinal Cord Medicine · doi:10.1080/10790268.2018.1511401 · Cited by 78
Reducing cardiometabolic disease in spinal cord injury
Kressler, J., Cowan, R. E., Bigford, G. E., & Nash, M. S. (2014) · Physical Medicine and Rehabilitation Clinics of North America · doi:10.1016/j.pmr.2014.04.006 · Cited by 69
Roy, D., & Tedeschi, A. (2021) · Cells · doi:10.3390/cells10051078 · Cited by 68
Comparison of nutritional intake between individuals with acute and chronic spinal cord injury
Perret, C., & Stoffel-Kurt, N. (2011) · The Journal of Spinal Cord Medicine · doi:10.1179/2045772311y.0000000026 · Cited by 62
Prevalence and associated factors of pain in the Swiss spinal cord injury population
for the SwiSCI Study Group, Müller, R., Brinkhof, M. W. G., Arnet, U., Hinrichs, T., Landmann, G., Jordan, X., & Béchir, M. (2017) · Spinal Cord · doi:10.1038/sc.2016.157 · Cited by 54
Nash, M. S., Cowan, R. E., & Kressler, J. (2012) · The Journal of Spinal Cord Medicine · doi:10.1179/2045772312y.0000000034 · Cited by 45
Bigford, G. E., Mendez, A. J., Betancourt, L., Burns-Drecq, P., Backus, D., & Nash, M. S. (2017) · Spinal Cord Series and Cases · doi:10.1038/scsandc.2017.7 · Cited by 21
Anthropometric prediction of skeletal muscle cross-sectional area in persons with spinal cord injury
Wade, R. C., & Gorgey, A. S. (2017) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01042.2016 · Cited by 18
Bigford, G. E., Betancourt, L. F., Charlifue, S., & Nash, M. S. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20196819 · Cited by 4
Metadata
- Authors
- Spungen, A. M., Adkins, R. H., Stewart, C. A., Wang, J., Pierson, R. N., Waters, R. L., & Bauman, W. A.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 2003-12
- Volume
- 95
- Issue
- 6
- Pages
- 2398-2407
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2120813098
- Cited by
- 424
- References
- 2
- FWCI
- 3.74
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.
