Effects of body weight and fat mass on back pain - direct mechanical or indirect through inflammatory and metabolic parameters?
Effects of body weight and fat mass on back pain - direct mechanical or indirect through inflammatory and metabolic parameters?
Background: while reports indicate the association between obesity and back pain, its mechanism is still unclear. Thus, we aimed to investigate the effects of weight and its components on back pain in middle-aged women while considering direct mechanical and indirect effects via inflammatory and metabolic parameters.
Methods: we used data from the Chingford 1000 Women Study, two follow-ups seven years apart. We assessed effects of weight, body mass index (BMI), total fat mass (TFM), total lean mass (TLM) and total bone mineral density (TBMD), measured by dual-energy X-ray absorptiometry, on back pain episode. We used inflammatory (C-reactive protein, interleukin-6, and tumour necrosis factor-alpha) and metabolic parameters (systolic and diastolic blood pressure, triglyceride, high-density lipoprotein cholesterol, and fasting blood glucose) as mediators of indirect effects. We investigated associations of interest cross-sectionally and longitudinally using binary logistic regression and parallel mediation model.
Results: we included 826 Chingford middle-aged women (mean age=60.7, SD=5.9) from the first used follow-up in cross-sectional and mediation analyses and 645 women that attended the follow-up seven years later, in longitudinal analyses. We found that increased weight was directly associated with increased odds of having back pain episode (OR=1.02; 95% CI 1.01-1.03), similarly as BMI (OR=1.05; 95% CI 1.02-1.08) and TFM (OR=1.03; 95% CI 1.01-1.04) consistently across the cross-sectional and longitudinal models, but not TLM or TBMD. However, we did not find consistent indirect effects of weight or its components through measured inflammatory or metabolic parameters on back pain.
Conclusions: our results show that in middle-aged women, weight, BMI and TFM are directly related to back pain, indicating prominence of mechanical loading effect.
151935
Perera, Romain S
41222096-6830-4e20-a2fb-b7f18a9ad9b6
Chen, Lingxiao
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Hart, Deborah J
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Spector, Tim D
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Arden, Nigel K
23af958d-835c-4d79-be54-4bbe4c68077f
Ferreira, Manuela L
908e590e-f84c-4f9e-8fb6-26501b014deb
Radojčić, Maja R
b2003caf-f95c-4cb4-8215-50e2e96873b7
Perera, Romain S
41222096-6830-4e20-a2fb-b7f18a9ad9b6
Chen, Lingxiao
15a40a3b-0f1e-4686-adb8-b9ebc723792a
Hart, Deborah J
4f5ca470-3877-4d29-b0ab-4127bdf8b361
Spector, Tim D
965dbeb9-fc69-4283-b1a3-3aa1fcd38e96
Arden, Nigel K
23af958d-835c-4d79-be54-4bbe4c68077f
Ferreira, Manuela L
908e590e-f84c-4f9e-8fb6-26501b014deb
Radojčić, Maja R
b2003caf-f95c-4cb4-8215-50e2e96873b7
Perera, Romain S, Chen, Lingxiao, Hart, Deborah J, Spector, Tim D, Arden, Nigel K, Ferreira, Manuela L and Radojčić, Maja R
(2021)
Effects of body weight and fat mass on back pain - direct mechanical or indirect through inflammatory and metabolic parameters?
Seminars in Arthritis and Rheumatism, 52, .
(doi:10.1016/j.semarthrit.2021.11.007).
Abstract
Background: while reports indicate the association between obesity and back pain, its mechanism is still unclear. Thus, we aimed to investigate the effects of weight and its components on back pain in middle-aged women while considering direct mechanical and indirect effects via inflammatory and metabolic parameters.
Methods: we used data from the Chingford 1000 Women Study, two follow-ups seven years apart. We assessed effects of weight, body mass index (BMI), total fat mass (TFM), total lean mass (TLM) and total bone mineral density (TBMD), measured by dual-energy X-ray absorptiometry, on back pain episode. We used inflammatory (C-reactive protein, interleukin-6, and tumour necrosis factor-alpha) and metabolic parameters (systolic and diastolic blood pressure, triglyceride, high-density lipoprotein cholesterol, and fasting blood glucose) as mediators of indirect effects. We investigated associations of interest cross-sectionally and longitudinally using binary logistic regression and parallel mediation model.
Results: we included 826 Chingford middle-aged women (mean age=60.7, SD=5.9) from the first used follow-up in cross-sectional and mediation analyses and 645 women that attended the follow-up seven years later, in longitudinal analyses. We found that increased weight was directly associated with increased odds of having back pain episode (OR=1.02; 95% CI 1.01-1.03), similarly as BMI (OR=1.05; 95% CI 1.02-1.08) and TFM (OR=1.03; 95% CI 1.01-1.04) consistently across the cross-sectional and longitudinal models, but not TLM or TBMD. However, we did not find consistent indirect effects of weight or its components through measured inflammatory or metabolic parameters on back pain.
Conclusions: our results show that in middle-aged women, weight, BMI and TFM are directly related to back pain, indicating prominence of mechanical loading effect.
Text
Manuscript_BodyComp_20211105MRR_clean
- Accepted Manuscript
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e-pub ahead of print date: 30 December 2021
Identifiers
Local EPrints ID: 455684
URI: http://eprints.soton.ac.uk/id/eprint/455684
ISSN: 0049-0172
PURE UUID: b0911863-b066-4915-8534-b69d71ee9378
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Date deposited: 30 Mar 2022 16:52
Last modified: 17 Mar 2024 07:10
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Author:
Romain S Perera
Author:
Lingxiao Chen
Author:
Deborah J Hart
Author:
Tim D Spector
Author:
Manuela L Ferreira
Author:
Maja R Radojčić
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