The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Sprinters versus long-distance runners: how to grow old healthy.
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.
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
“These questions are important because regular exercise is recommended as the best way to combat age-related declines of the musculoskeletal system (Acsm, 1998; Kusy and Zielinski, 2015; Chief Medical Officer’s Guidelines, 2018; Cruz-Jentoft et al., 2018)”
From Comparison of Muscle Function, Bone Mineral Density and Body Composition of Early Starting and Later Starting Older Masters Athletes (2019) · cites this paper as Kusy and Zielinski, 2015
In the citing paper
“Given the low number of sprinters (when separated to early starters, late starters, men, and women) and the known differences in muscle mass and bone mineral density between sprinters and endurance runners (Gast et al., 2013; Kusy and Zielinski, 2015; Piasecki J. et al., 2018), the sprinters were excluded from further analysis for this particular study.”
From Comparison of Muscle Function, Bone Mineral Density and Body Composition of Early Starting and Later Starting Older Masters Athletes (2019) · cites this paper as Kusy and Zielinski, 2015
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
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
Richards, J. C., Johnson, T. K., Kuzma, J. N., Lonac, M. C., Schweder, M. M., Voyles, W. F., & Bell, C. (2010) · The Journal of Physiology · doi:10.1113/jphysiol.2010.189886 · Cited by 187
Research works printed but not linked: 30
- Adams, 2013, The impact of brief high-intensity exercise on blood glucose levels., Diabetes Metab Syndr Obes, 6, 113, 10.2147/DMSO.S29222 · DOI
- Andersen, 2013, Risk of arrhythmias in 52,755 long-distance cross-country skiers: a cohort study., Eur Heart J, 34, 3624, 10.1093/eurheartj/eht188 · DOI · Paper page
- Barnard, 1979, Physiological characteristics of sprint and endurance master runners., Med Sci Sports, 11, 167
- Brahm, 1997, Bone metabolism in endurance trained athletes: a comparison to population-based controls based on DXA, SXA, quantitative ultrasound, and biochemical markers., Calcif Tissue Int, 61, 448, 10.1007/s002239900366 · DOI
- Child, 1984, Cardiac hypertrophy and function in master endurance runners and sprinters., J Appl Physiol, 57, 176, 10.1152/jappl.1984.57.1.176 · DOI
- Desgorces, 2007, Methods to quantify intermittent exercises., Appl Physiol Nutr Metab, 32, 762, 10.1139/H07-037 · DOI
- Dook, 1997, Exercise and bone mineral density in mature female athletes., Med Sci Sports Exerc, 29, 291, 10.1097/00005768-199703000-00002 · DOI
- Ganse, 2014, Impact of age, performance and athletic event on injury rates in master athletics first results from an ongoing prospective study., J Musculoscelet Neuronal Interact, 14, 148
- Gast, 2013, Bone density and neuromuscular function in older competitive athletes depend on running distance., Osteoporosis Int, 24, 2033, 10.1007/s00198-012-2234-0 · DOI · Paper page
- Goodpaster, 1996, The relationship of sustained exercise training and bone mineral density in aging male runners., Scand J Med Sci Sports, 6, 216, 10.1111/j.1600-0838.1996.tb00094.x · DOI
- Kettunen, 2006, Health of masters track and field athletes: a 16-years follow-up study., Clin J Sport Med, 16, 142, 10.1097/00042752-200603000-00010 · DOI
- Korhonen, 2012, Bone density, structure and strength, and their determinants in aging sprint athletes., Med Sci Sports Exerc, 44, 2340, 10.1249/MSS.0b013e318267c954 · DOI · Paper page
- Krasinska, 2008, The influence of many years sport training on myocardial structure and function in veteran sportsmen in comparison to the effects of long-lasting arterial hypertension echocardiographic evaluation., Arterial Hypertens, 12, 87
- Kusy, 2012, Gas exchange threshold in male speed-power versus endurance athletes ages 20-90 years., Med Sci Sports Exerc, 44, 2415, 10.1249/MSS.0b013e318267c36f · DOI
- Kusy, 2014, Aerobic capacity in speed-power athletes aged 20-90 years vs endurance runners and untrained participants., Scand J Med Sci Sports, 24, 68, 10.1111/j.1600-0838.2012.01496.x · DOI
- Kusy, 2013, Insulin sensitivity and -cell function estimated by HOMA2 model in sprint-trained athletes aged 20-90 years vs endurance runners and untrained participants., J Sports Sci, 31, 1656, 10.1080/02640414.2013.792954 · DOI
- Longo, 2009, No influence of age, gender, weight, height, and impact profile in Achilles tendinopathy in masters track and field athletes., Am J Sports Med, 37, 1400, 10.1177/0363546509332250 · DOI
- Longo, 2011, Patellar tendinopathy in master track and field athletes: influence of impact profile, weight, height, age and gender., Knee Surg Sports Traumatol Arthrosc, 19, 508, 10.1007/s00167-010-1314-y · DOI
- Marti, 1991, Fifteen-year changes in exercise, aerobic power, abdominal fat, and serum lipids in runners and controls., Med Sci Sports Exerc, 23, 115, 10.1249/00005768-199101000-00017 · DOI
- Michaelis, 2008, Decline of specific peak jumping power with age in master runners., J Musculoskelet Neuronal Interact, 8, 64
- Nowak, 2010, Bone mineral density and bone turnover in male masters athletes aged 40-64., Aging Male, 13, 133, 10.3109/13685531003657776 · DOI · Paper page
- Pimentel, 2003, Greater rate of decline in maximal aerobic capacity with age in endurance-trained than in sedentary men., J Appl Physiol, 94, 2406, 10.1152/japplphysiol.00774.2002 · DOI
- Rhodes, 2006, Personality correlates of physical activity: a review and meta-analysis., Br J Sports Med, 40, 958, 10.1136/bjsm.2006.028860 · DOI · Paper page
- Stutts, 2002, Physical activity determinants in adults. Perceived benefits, barriers, and self efficacy., AAOHN J, 50, 499, 10.1177/216507990205001106 · DOI
- Tanaka, 1997, Greater rate of decline in maximal aerobic capacity with age in physically active vs. sedentary healthy women. J. Appl., Physiol, 83, 1947
- Velez, 2008, The effect of moderate impact exercise on skeletal integrity in master athletes., Osteoporosis Int, 19, 1457, 10.1007/s00198-008-0590-6 · DOI · Paper page
- Whyte, 2010, Effect of 2 weeks of sprint interval training on health-related outcomes in sedentary overweightobese men., Metabolism, 59, 1421, 10.1016/j.metabol.2010.01.002 · DOI · Paper page
- Wilks, 2009, Age-dependency in bone mass and geometry: a pQCT study on male and female master sprinters, middle and long distance runners, race-walkers and sedentary people., J Musculoscelet Neuronal Interact, 9, 236
- Wilson, 2010, Cardiovascular function and the veteran athlete., Eur J Appl Physiol, 110, 459, 10.1007/s00421-010-1534-3 · DOI
- Wilson, 2000, Meta-analysis of the age associated decline in maximal aerobic capacity in men: relation to training status., Am J Physiol Heart Circ Physiol, 278, H829, 10.1152/ajpheart.2000.278.3.H829 · DOI · Paper page
Cited by
Piasecki, J., Ireland, A., Piasecki, M., Deere, K., Hannam, K., Tobias, J., & McPhee, J. S. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.01050 · Cited by 24
Metadata
- Authors
- Kusy, K., & Zieliński, J.
- Venue
- Exercise and Sport Sciences Reviews
- Published
- 2015-01
- Volume
- 43
- Issue
- 1
- Pages
- 57-64
- ISSN
- 0091-6331
- Cited by
- 41
- References
- 2
- Language
- en
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.