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Data-driven network analysis identified subgroup-specific low back pain pathways: a cross-sectional...

Data-driven network analysis identified subgroup-specific low back pain pathways: a cross-sectional...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2738190461

Data-driven network analysis identified subgroup-specific low back pain pathways: a cross-sectional GLA:D Back study

About this item

Full title

Data-driven network analysis identified subgroup-specific low back pain pathways: a cross-sectional GLA:D Back study

Publisher

United States: Elsevier Inc

Journal title

Journal of clinical epidemiology, 2023-01, Vol.153, p.66-77

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

To understand the physical, activity, pain, and psychological pathways contributing to low back pain (LBP) -related disability, and if these differ between subgroups.
Data came from the baseline observations (n = 3849) of the “GLA:D Back” intervention program for long-lasting nonspecific LBP. 15 variables comprising demographic, pain, psychologi...

Alternative Titles

Full title

Data-driven network analysis identified subgroup-specific low back pain pathways: a cross-sectional GLA:D Back study

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2738190461

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2738190461

Other Identifiers

ISSN

0895-4356

E-ISSN

1878-5921

DOI

10.1016/j.jclinepi.2022.11.010

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