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Cited by 228

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Exercise effects on systemic immunity

NIEMAN, DAVID C·2000·Immunology and Cell Biology

Abstract

Heavy exertion has acute and chronic influences on systemic immunity. In the resting state, the immune systems of athletes and non-athletes are more similar than disparate with the exception of NK cell activity, which tends to be elevated in athletes. Many components of the immune system exhibit adverse change after prolonged, heavy exertion. These immune changes occur in several compartments of the immune system and body (e.g. the skin, upper respiratory tract mucosal tissue, lung, blood and muscle). Although still open to interpretation, most exercise immunologists believe that during this 'open window' of impaired immunity (which may last between 3 and 72 h, depending on the immune measure) viruses and bacteria may gain a foothold, increasing the risk of subclinical and clinical infection. The infection risk may be amplified when other factors related to immune function are present, including exposure to novel pathogens during travel, lack of sleep, severe mental stress, malnutrition or weight loss.

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Crossref · 10.1046/j.1440-1711.2000.00950.x

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Metadata

Authors
NIEMAN, D. C.
Venue
Immunology and Cell Biology
Publisher
Wiley
Published
2000-10-27
Volume
78
Issue
5
Pages
496-501
ISSN
  • 0004-945X (ISSN-L)
  • 0818-9641
  • 1440-1711
OpenAlex
W1997651587
Cited by
228
References
4
FWCI
5.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Exercise effects on systemic immunity. https://app.cochat.ai/papers/10.1046/j.1440-1711.2000.00950.x
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NIEMAN, D. C. (2000). Exercise effects on systemic immunity. Immunology and Cell Biology. https://doi.org/10.1046/j.1440-1711.2000.00950.x

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.