The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Effects of Endurance Training on Glucose Tolerance and Plasma Lipid Levels in Older Men and Women
Abstract
Eleven healthy men and women (63 +/- 1 years) participated in a 12-month endurance-training program to determine the effects of low-intensity and high-intensity training on glucose tolerance and plasma lipids in older persons. Plasma glucose, insulin, and C-peptide concentrations were measured for three hours after ingestion of 100 g of glucose and the total areas under the respective curves were calculated. Total plasma lipids and lipoprotein concentrations were determined during fasting. Maximal oxygen uptake increased 12% during six months of low-intensity training; a further 18% increase occurred during an additional six months of high-intensity training. Glucose tolerance, which was normal initially, was not significantly changed after training. However, the total area for insulin was 8% lower after low-intensity training, and 23% lower after high-intensity training, compared with before training. C-peptide concentrations were similarly reduced. Plasma lipid and lipoprotein concentrations were unchanged after low-intensity training, but high-intensity training resulted in an increase in high-density lipoprotein cholesterol and a reduction in triglycerides. These results demonstrate that older persons respond to prolonged, high-intensity endurance training with an increase in sensitivity to insulin and a favorable alteration in their plasma lipoprotein-lipid profile.
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
Davidson, M. B. (1979) · Metabolism · doi:10.1016/0026-0495(79)90024-6 · Cited by 411
Glucose tolerance in young and older athletes and sedentary men
Seals, D. R., Hagberg, J. M., Allen, W. K., Hurley, B. F., Dalsky, G. P., Ehsani, A. A., & Holloszy, J. O. (1984) · Journal of Applied Physiology · doi:10.1152/jappl.1984.56.6.1521 · Cited by 228
Self-citation
Cited by
Exercise and Physical Activity for Older Adults
Chodzko-Zajko, W. J., Proctor, D. N., Fiatarone Singh, M. A., Minson, C. T., Nigg, C. R., Salem, G. J., & Skinner, J. S. (2009) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181a0c95c · Cited by 5,153
Human Aging: Usual and Successful
Rowe, J. W., & Kahn, R. L. (1987) · Science · doi:10.1126/science.3299702 · Cited by 3,384
Short, K. R., Vittone, J. L., Bigelow, M. L., Proctor, D. N., Rizza, R. A., Coenen-Schimke, J. M., & Nair, K. S. (2003) · Diabetes · doi:10.2337/diabetes.52.8.1888 · Cited by 631
Bartlett, J. D., Close, G. L., MacLaren, D. P. M., Gregson, W., Drust, B., & Morton, J. P. (2011) · Journal of Sports Sciences · doi:10.1080/02640414.2010.545427 · Cited by 593
Endurance Exercise as a Countermeasure for Aging
Lanza, I. R., Short, D. K., Short, K. R., Raghavakaimal, S., Basu, R., Joyner, M. J., McConnell, J. P., & Nair, K. S. (2008) · Diabetes · doi:10.2337/db08-0349 · Cited by 582
EASL Clinical Practice Guidelines on the prevention, diagnosis and treatment of gallstones
(2016) · Journal of Hepatology · doi:10.1016/j.jhep.2016.03.005 · Cited by 576
Effect of the volume and intensity of exercise training on insulin sensitivity
Houmard, J. A., Tanner, C. J., Slentz, C. A., Duscha, B. D., McCartney, J. S., & Kraus, W. E. (2004) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00707.2003 · Cited by 568
Babraj, J. A., Vollaard, N. B., Keast, C., Guppy, F. M., Cottrell, G., & Timmons, J. A. (2009) · BMC Endocrine Disorders · doi:10.1186/1472-6823-9-3 · Cited by 374
Risk due to inactivity in physically capable older adults.
Simonsick, E. M., Lafferty, M. E., Phillips, C. L., Mendes de Leon, C. F., Kasl, S. V., Seeman, T. E., Fillenbaum, G., Hebert, P., & Lemke, J. H. (1993) · American Journal of Public Health · doi:10.2105/ajph.83.10.1443 · Cited by 242
Is Alzheimer’s disease a systemic disease?
Morris, J. K., Honea, R. A., Vidoni, E. D., Swerdlow, R. H., & Burns, J. M. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2014.04.012 · Cited by 219
Recreational Physical Activity and the Risk of Cholecystectomy in Women
Leitzmann, M. F., Rimm, E. B., Willett, W. C., Spiegelman, D., Grodstein, F., Stampfer, M. J., Colditz, G. A., & Giovannucci, E. (1999) · New England Journal of Medicine · doi:10.1056/nejm199909093411101 · Cited by 157
Nutrition, exercise, and healthy aging
EVANS, W. J., & CYR-CAMPBELL, D. (1997) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(97)00160-0 · Cited by 138
Evans, E. M., Racette, S. B., Peterson, L. R., Villareal, D. T., Greiwe, J. S., & Holloszy, J. O. (2005) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00928.2004 · Cited by 112
Aging and plasma triglyceride metabolism
Spitler, K. M., & Davies, B. S. J. (2020) · Journal of Lipid Research · doi:10.1194/jlr.r120000922 · Cited by 104
Cadore, E. L., & Izquierdo, M. (2015) · AGE · doi:10.1007/s11357-015-9800-2 · Cited by 93
Hersey, W. C., Graves, J. E., Pollock, M. L., Gingerich, R., Shireman, R. B., Heath, G. W., Spierto, F., McCole, S. D., & Hagberg, J. M. (1994) · Metabolism · doi:10.1016/0026-0495(94)90265-8 · Cited by 81
Cononie, C. C., Goldberg, A. P., Rogus, E., & Hagberg, J. M. (1994) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1994.tb07487.x · Cited by 58
Exercise intensity and insulin sensitivity: how low can you go?
Hawley, J. A., & Gibala, M. J. (2009) · Diabetologia · doi:10.1007/s00125-009-1425-5 · Cited by 41
Metadata
- Authors
- Seals, D. R.
- Venue
- JAMA: The Journal of the American Medical Association
- Publisher
- American Medical Association (AMA)
- Published
- 1984-08-03
- Volume
- 252
- Issue
- 5
- Pages
- 645
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W1986269771
- Cited by
- 261
- References
- 2
- FWCI
- 13.68
- 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.