TY - JOUR
T1 - High baseline fat mass, but not lean tissue mass, is associated with high intensity low back pain and disability in community-based adults
AU - Brady, Sharmayne R.E.
AU - Urquhart, Donna M.
AU - Hussain, Sultana Monira
AU - Teichtahl, Andrew
AU - Wang, Yuanyuan
AU - Wluka, Anita E.
AU - Cicuttini, Flavia
PY - 2019/7/5
Y1 - 2019/7/5
N2 - Objectives: Low back pain is the largest contributor to disability worldwide. The role of body composition as a risk factor for back pain remains unclear. Our aim was to examine the relationship between fat mass and fat distribution on back pain intensity and disability using validated tools over 3 years. Methods: Participants (aged 25-60 years) were assessed at baseline using dual-energy X-ray absorptiometry (DXA) to measure body composition. All participants completed the Chronic Pain Grade Scale at baseline and 3-year follow-up. Of the 150 participants, 123 (82%) completed the follow-up. Results: Higher baseline body mass index (BMI) and fat mass (total, trunk, upper limb, lower limb, android, and gynoid) were all associated with high intensity back pain at either baseline and/or follow-up (total fat mass: multivariable OR 1.05, 95% CI 1.01-1.09, p < 0.001). There were similar findings for all fat mass measures and high levels of back disability. A higher android to gynoid ratio was associated with high intensity back pain (multivariable OR 1.04, 95% CI 1.01-1.08, p = 0.009). There were no associations between lean mass and back pain. Conclusions: This cohort study provides evidence for the important role of fat mass, specifically android fat relative to gynoid fat, on back pain and disability.
AB - Objectives: Low back pain is the largest contributor to disability worldwide. The role of body composition as a risk factor for back pain remains unclear. Our aim was to examine the relationship between fat mass and fat distribution on back pain intensity and disability using validated tools over 3 years. Methods: Participants (aged 25-60 years) were assessed at baseline using dual-energy X-ray absorptiometry (DXA) to measure body composition. All participants completed the Chronic Pain Grade Scale at baseline and 3-year follow-up. Of the 150 participants, 123 (82%) completed the follow-up. Results: Higher baseline body mass index (BMI) and fat mass (total, trunk, upper limb, lower limb, android, and gynoid) were all associated with high intensity back pain at either baseline and/or follow-up (total fat mass: multivariable OR 1.05, 95% CI 1.01-1.09, p < 0.001). There were similar findings for all fat mass measures and high levels of back disability. A higher android to gynoid ratio was associated with high intensity back pain (multivariable OR 1.04, 95% CI 1.01-1.08, p = 0.009). There were no associations between lean mass and back pain. Conclusions: This cohort study provides evidence for the important role of fat mass, specifically android fat relative to gynoid fat, on back pain and disability.
KW - Android
KW - Body composition
KW - Fat mass
KW - Lean tissue mass
KW - Low back pain
UR - http://www.scopus.com/inward/record.url?scp=85069268179&partnerID=8YFLogxK
U2 - 10.1186/s13075-019-1953-4
DO - 10.1186/s13075-019-1953-4
M3 - Article
C2 - 31277706
AN - SCOPUS:85069268179
VL - 21
JO - Arthritis Research & Therapy
JF - Arthritis Research & Therapy
SN - 1478-6362
IS - 1
M1 - 165
ER -