The DOI matches its Crossref record; 271 of the 271 references it cites were found in a registry or an index.
Exercise as a prescription for patients with various diseases
Open accessAbstract
A growing understanding of the benefits of exercise over the past few decades has prompted researchers to take an interest in the possibilities of exercise therapy. Because each sport has its own set of characteristics and physiological complications that tend to occur during exercise training, the effects and underlying mechanisms of exercise remain unclear. Thus, the first step in probing the effects of exercise on different diseases is the selection of an optimal exercise protocol. This review summarizes the latest exercise prescription treatments for 26 different diseases: musculoskeletal system diseases (low back pain, tendon injury, osteoporosis, osteoarthritis, and hip fracture), metabolic system diseases (obesity, type 2 diabetes, type 1 diabetes, and nonalcoholic fatty liver disease), cardio-cerebral vascular system diseases (coronary artery disease, stroke, and chronic heart failure), nervous system diseases (Parkinson's disease, Huntington's disease, Alzheimer's disease, depression, and anxiety disorders), respiratory system diseases (chronic obstructive pulmonary disease, interstitial lung disease, and after lung transplantation), urinary system diseases (chronic kidney disease and after kidney transplantation), and cancers (breast cancer, colon cancer, prostate cancer, and lung cancer). Each exercise prescription is displayed in a corresponding table. The recommended type, intensity, and frequency of exercise prescriptions are summarized, and the effects of exercise therapy on the prevention and rehabilitation of different diseases are discussed.
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Cites
Global cancer statistics, 2012
Torre, L. A., Bray, F., Siegel, R. L., Ferlay, J., Lortet‐Tieulent, J., & Jemal, A. (2015) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21262 · Cited by 26,850
Siegel, R. L., Miller, K. D., & Jemal, A. (2015) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21254 · Cited by 11,853
Siegel, R., Ma, J., Zou, Z., & Jemal, A. (2014) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21208 · Cited by 11,499
Garber, C. E., Blissmer, B., Deschenes, M. R., Franklin, B. A., Lamonte, M. J., Lee, I.-M., Nieman, D. C., & Swain, D. P. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e318213fefb · Cited by 9,319 · cited 3×
“We followed the intensity classification specified in the original tables from the references articles and, if there was no mention of intensity there, we referred to the classification standard identified in Table 1.(10)”
MethodInfluentialIDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040
Ogurtsova, K., da Rocha Fernandes, J. D., Huang, Y., Linnenkamp, U., Guariguata, L., Cho, N. H., Cavan, D., Shaw, J. E., & Makaroff, L. E. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.03.024 · Cited by 6,966
Kalia, L. V., & Lang, A. E. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61393-3 · Cited by 6,184
Signet-Ring Cell Carcinoma of the Colon: A Case Report and Review of the Literature
Park, P. Y., Goldin, T., Chang, J., Markman, M., & Kundranda, M. N. (2015) · Case Reports in Oncology · doi:10.1159/000441772 · Cited by 5,273
Querfurth, H. W., & LaFerla, F. M. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0909142 · Cited by 4,569
IDF Diabetes Atlas: Global estimates of the prevalence of diabetes for 2011 and 2030
Whiting, D. R., Guariguata, L., Weil, C., & Shaw, J. (2011) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2011.10.029 · Cited by 3,994
Cited by
Chen, P., Mao, L., Nassis, G. P., Harmer, P., Ainsworth, B. E., & Li, F. (2020) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2020.02.001 · Cited by 1,248
Self-citationMechanism of increased risk of insulin resistance in aging skeletal muscle
Shou, J., Chen, P.-J., & Xiao, W.-H. (2020) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-020-0523-x · Cited by 283
Self-citationExercise-Mediated Browning of White Adipose Tissue: Its Significance, Mechanism and Effectiveness
Mu, W.-J., Zhu, J.-Y., Chen, M., & Guo, L. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111512 · Cited by 99
Liang, J., Zhang, H., Zeng, Z., Wu, L., Zhang, Y., Guo, Y., Lv, J., Wang, C., Fan, J., & Chen, N. (2021) · Metabolites · doi:10.3390/metabo11050323 · Cited by 84
Self-citationAlexander, L., Christensen, S. M., Richardson, L., Ingersoll, A. B., Burridge, K., Golden, A., Karjoo, S., Cortez, D., Shelver, M., & Bays, H. E. (2022) · Obesity Pillars · doi:10.1016/j.obpill.2021.100005 · Cited by 61
Metadata
- Authors
- Luan, X., Tian, X., Zhang, H., Huang, R., Li, N., Chen, P., & Wang, R.
- Venue
- Journal of Sport and Health Science
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 8
- Issue
- 5
- Pages
- 422-441
- ISSN
- 2213-2961 (ISSN-L)
- 2095-2546
- OpenAlex
- W2936941826
- Cited by
- 441
- References
- 271
- FWCI
- 30.15
- Type
- journal article
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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