Independent and combined effect of nutrition and exercise on bone mass development View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-09

AUTHORS

Germán Vicente-Rodríguez, Juan Ezquerra, María Isabel Mesana, Juan Miguel Fernández-Alvira, Juan Pablo Rey-López, José Antonio Casajus, Luis Alberto Moreno

ABSTRACT

Food intake provides the necessary components for adequate metabolic functions in bone. Calcium, phosphorus, vitamin D, magnesium, proteins, and fluoride are some of the most important nutrients in this regard. These have different effects on bone mass. Additionally, exercise has been shown to elicit osteogenic responses in bone development; indeed, it seems to potentiate, for example, the effect of calcium supplementation on bone mass. However, the nutrition-exercise-bone mass relationship is complex and needs further in-depth investigation. As a first step, therefore, we reviewed current knowledge about the role of nutrition on the development of bone tissue and how physical activity affects the nutrient-bone relationship. More... »

PAGES

416-424

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00774-007-0846-9

    DOI

    http://dx.doi.org/10.1007/s00774-007-0846-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1033363052

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/18758899


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    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00774-007-0846-9'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00774-007-0846-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00774-007-0846-9'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00774-007-0846-9'


     

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