Abstract
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.
| Original language | English |
|---|---|
| Article number | 165 |
| Number of pages | 8 |
| Journal | Arthritis Research and Therapy |
| Volume | 21 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 5 Jul 2019 |
Keywords
- Android
- Body composition
- Fat mass
- Lean tissue mass
- Low back pain
Cite this
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High baseline fat mass, but not lean tissue mass, is associated with high intensity low back pain and disability in community-based adults. / Brady, Sharmayne R.E.; Urquhart, Donna M.; Hussain, Sultana Monira; Teichtahl, Andrew; Wang, Yuanyuan; Wluka, Anita E.; Cicuttini, Flavia.
In: Arthritis Research and Therapy, Vol. 21, No. 1, 165, 05.07.2019.Research output: Contribution to journal › Article › Research › peer-review
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
VL - 21
JO - Arthritis Research and Therapy
JF - Arthritis Research and Therapy
SN - 1478-6354
IS - 1
M1 - 165
ER -