The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Exercise for Prevention and Relief of Cardiovascular Disease: Prognoses, Mechanisms, and Approaches
Open accessAbstract
This review is aimed at summarizing the new findings about the multiple benefits of exercise on cardiovascular disease (CVD). We pay attention to the prevalence and risk factors of CVD and mechanisms and recommendations of physical activity. Physical activity can improve insulin sensitivity, alleviate plasma dyslipidemia, normalize elevated blood pressure, decrease blood viscosity, promote endothelial nitric oxide production, and improve leptin sensitivity to protect the heart and vessels. Besides, the protective role of exercise on the body involves not only animal models in the laboratory but also clinical studies which is demonstrated by WHO recommendations. The general exercise intensity for humans recommended by the American Heart Association to prevent CVD is moderate exercise of 30 minutes, 5 times a week. However, even the easiest activity is better than nothing. What is more, owing to the different physical fitness of individuals, a standard exercise training cannot provide the exact treatment for everyone. So personalization of exercise will be an irresistible trend and bring more beneficial effects with less inefficient physical activities. This paper reviews the benefits of exercise contributing to the body especially in CVD through the recent mechanism studies.
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
Thioredoxin-interacting protein links oxidative stress to inflammasome activation
Zhou, R., Tardivel, A., Thorens, B., Choi, I., & Tschopp, J. (2010) · Nature Immunology · doi:10.1038/ni.1831 · Cited by 2,708
DeFronzo, R. A., Ferrannini, E., Groop, L., Henry, R. R., Herman, W. H., Holst, J. J., Hu, F. B., Kahn, C. R., Raz, I., Shulman, G. I., et al. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.19 · Cited by 2,611
St-Pierre, J., Drori, S., Uldry, M., Silvaggi, J. M., Rhee, J., Jäger, S., Handschin, C., Zheng, K., Lin, J., Yang, W., et al. (2006) · Cell · doi:10.1016/j.cell.2006.09.024 · Cited by 2,233
Thompson, P. D., Buchner, D., Piña, I. L., Balady, G. J., Williams, M. A., Marcus, B. H., Berra, K., Blair, S. N., Costa, F., Franklin, B., et al. (2003) · Circulation · doi:10.1161/01.cir.0000075572.40158.77 · Cited by 2,132
NELSON, M. E., REJESKI, W. J., BLAIR, S. N., DUNCAN, P. W., JUDGE, J. O., KING, A. C., MACERA, C. A., & CASTANEDA-SCEPPA, C. (2007) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3180616aa2 · Cited by 2,089
The intersection between aging and cardiovascular disease
North, B. J., & Sinclair, D. A. (2012) · Circulation Research · doi:10.1161/circresaha.111.246876 · Cited by 1,585
Effects of the amount and intensity of exercise on plasma lipoproteins
Kraus, W. E., Houmard, J. A., Duscha, B. D., Knetzger, K. J., Wharton, M. B., McCartney, J. S., Bales, C. W., Henes, S., Samsa, G. P., Otvos, J. D., et al. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa020194 · Cited by 1,554
Physical activity in older age: perspectives for healthy ageing and frailty
McPhee, J. S., French, D. P., Jackson, D., Nazroo, J., Pendleton, N., & Degens, H. (2016) · Biogerontology · doi:10.1007/s10522-016-9641-0 · Cited by 1,369
Leon, B. M. (2015) · World Journal of Diabetes · doi:10.4239/wjd.v6.i13.1246 · Cited by 1,215
Physical activity and risk of cardiovascular disease—a meta-analysis of prospective cohort studies
Li, J., & Siegrist, J. (2012) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph9020391 · Cited by 674
Metadata
- Authors
- Tian, D., & Meng, J.
- Venue
- Oxidative Medicine and Cellular Longevity
- Publisher
- Wiley
- Published
- 2019-04-09
- Volume
- 2019
- Pages
- 1-11
- ISSN
- 1942-0994 (ISSN-L)
- 1942-0900
- OpenAlex
- W2938103825
- Cited by
- 241
- References
- 20
- FWCI
- 18.35
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Exercise for Prevention and Relief of Cardiovascular Disease: Prognoses, Mechanisms, and Approaches. https://app.cochat.ai/papers/10.1155/2019/3756750
- The paper
- Tian, D., & Meng, J. (2019). Exercise for Prevention and Relief of Cardiovascular Disease: Prognoses, Mechanisms, and Approaches. Oxidative Medicine and Cellular Longevity. https://doi.org/10.1155/2019/3756750
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.
