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Investigating the associations between lumbar paraspinal muscle health and age, BMI, sex, physical activity, and back pain using an automated computer-vision model: a UK Biobank study

The Spine Journal(2024)10.1016/j.spinee.2024.02.013Source: DataRank Database

Investigating the associations between lumbar paraspinal muscle health and age, BMI, sex, physical activity, and back pain using an automated computer-vision model: a UK Biobank study is a research paper published in The Spine Journal (2024). On theSindex it has a DataRank of 0. It has been cited 46 times.

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Open Access46 citations

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Enrichment:Funding (4 grants)OA: hybridTopics (24)IDs (PubMed, PMC)

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Authors (10)

Annelies Pool‐Goudzwaard ORCID,Benjamin De Leener ORCID,Christine Law ORCID,Meredith Blair Fenyo ORCID,Gabriella Marie Ello ORCID

Live enrichment

PubMed:38417587 PMC:PMC11779699

NINDS NIH HHS

Grant: K24 NS126781

NINDS NIH HHS

Grant: K23 NS104211

NINDS NIH HHS

Grant: L30 NS108301

National Institute of Neurological Disorders and Stroke

hybridLicense: cc-by

publisherhttps://doi.org/10.1016/j.spinee.2024.02.013

publisherhttps://api.elsevier.com/content/article/PII:S1529943024000809?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1529943024000809?httpAccept=text/plain

repositoryhttps://research.vu.nl/en/publications/760db6c5-01fe-4cbd-9b90-b48fb33bc018

repositoryhttps://publications.polymtl.ca/58187/2/2024_Wesselink_Investigating_Associations_Lumbar_Paraspinal_Muscle_SUPP.pdf

MeSH Terms

Lumbosacral RegionLumbar VertebraeHumansBack PainLow Back PainMagnetic Resonance ImagingBody Mass IndexExerciseCross-Sectional StudiesAge FactorsSex FactorsAgedMiddle AgedFemaleMaleParaspinal MusclesUnited KingdomUK Biobank

Keywords

Artificial intelligenceAdipose tissueLow back painMagnetic Resonance ImagingFatty InfiltrationBack Muscles