Upper back pain in postmenopausal women and associated physical characteristics

The physical characteristics of postmenopausal women that are associated with upper back pain are not well-understood. The aim of this cross-sectional study was to identify the physical characteristics associated with presence and severity of upper back pain in healthy postmenopausal women. Self-rep...

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Veröffentlicht in:PloS one 2019-07, Vol.14 (7), p.e0220452-e0220452
Hauptverfasser: Spencer, Linda, McKenna, Leanda, Fary, Robyn, Jacques, Angela, Briffa, Kathy
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Sprache:eng
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Zusammenfassung:The physical characteristics of postmenopausal women that are associated with upper back pain are not well-understood. The aim of this cross-sectional study was to identify the physical characteristics associated with presence and severity of upper back pain in healthy postmenopausal women. Self-reported upper back pain presence (within the previous month) and severity (numerical rating scale) were examined against the physical characteristics: height; weight; body mass index; breast size; breast ptosis; upper back extensor muscle endurance (isometric chest raise test); head, shoulder and upper back posture (photogrammetry); thoracic extension mobility (photogrammetry); bone mineral density (dual-energy x-ray absorptiometry (DXA)); body composition (DXA); and thoracic kyphosis, thoracic osteoarthritis and thoracic vertebral fracture (all radiography). A multivariable logistic regression model, adjusted for age, was built using physical characteristics with a significant univariate association with upper back pain. Censored Tobit regression, adjusted for age, was used to examine each physical characteristic against upper back pain severity. Postmenopausal women (n = 119) with a mean (SD) age of 61.4 (7.0) years participated in the study. After adjusting for age, the physical characteristics independently associated with upper back pain were: height (OR: 0.50, 95% CI: 0.31-0.79); and upper back extensor muscle endurance (OR: 0.46, 95%CI: 0.28-0.75). This model explained 31% of the variance in upper back pain (p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0220452