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Cited by 708

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Core Stability Exercise Principles

Akuthota, Venu, Ferreiro, Andrea, Moore, Tamara, Fredericson, Michael·2008·Current Sports Medicine Reports

Abstract

Core stability is essential for proper load balance within the spine, pelvis, and kinetic chain. The so-called core is the group of trunk muscles that surround the spine and abdominal viscera. Abdominal, gluteal, hip girdle, paraspinal, and other muscles work in concert to provide spinal stability. Core stability and its motor control have been shown to be imperative for initiation of functional limb movements, as needed in athletics. Sports medicine practitioners use core strengthening techniques to improve performance and prevent injury. Core strengthening, often called lumbar stabilization, also has been used as a therapeutic exercise treatment regimen for low back pain conditions. This article summarizes the anatomy of the core, the progression of core strengthening, the available evidence for its theoretical construct, and its efficacy in musculoskeletal conditions.

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Crossref · 10.1097/01.csmr.0000308663.13278.69

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Metadata

Authors
Akuthota, V., Ferreiro, A., Moore, T., & Fredericson, M.
Venue
Current Sports Medicine Reports
Published
2008-01
Volume
7
Issue
1
Pages
39-44
ISSN
1537-890X (ISSN-L)
OpenAlex
W2121602738
Cited by
708
References
46
FWCI
7.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Core Stability Exercise Principles. https://app.cochat.ai/papers/10.1097/01.csmr.0000308663.13278.69
The paper
Akuthota, V., Ferreiro, A., Moore, T., & Fredericson, M. (2008). Core Stability Exercise Principles. Current Sports Medicine Reports. https://doi.org/10.1097/01.csmr.0000308663.13278.69

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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.