Abstract
Purpose
Previous epidemiological and other studies have shown an association between diet and low back pain (LBP). This study aimed to investigate the causal relationship between diet and LBP using a Mendelian randomization (MR) approach.
Methods
The three main methods in this study were weighted median, MR-Egger, and inverse variance weighting (IVW). We utilized MR-PRESSO to eliminate abnormal SNPs. Additionally, tests for pleiotropy and heterogeneity were conducted. Utilizing IVW and MR-Egger’s Cochran’s Q test, heterogeneity was evaluated. MR-Egger intercepts were used in pleiotropy tests. A leave-one-out analysis was also used to evaluate the stability of the study’s findings.
Results
The frequency of alcohol intake was associated with an increased risk of LBP. Increased processed meat intake, dried fruit intake, cereal intake, and tea intake were causally associated with a decreased risk of LBP (alcohol intake frequency: odds ratio (OR) = 1.28; 95% confidence interval (CI), 1.11–1.47; P = 0.0006; processed meat intake: OR = 0.60, 95%CI 0.39–0.92, P = 0.019; dried fruit intake: OR = 0.43, 95%CI 0.29–0.66, P = 0.00008; cereal intake: OR = 0.62, 95%CI 0.42–0.92, P = 0.018; tea intake: OR = 0.75, 95%CI 0.58–0.97, P = 0.029). Heterogeneity and pleiotropy were also not found in the sensitivity analysis. The leave-one-out analysis also showed more robust results. Other dietary intakes were not causally associated with LBP.
Conclusions
This two-sample MR study found that frequency of alcohol intake was associated with an increased risk of LBP, and intake of processed meat, dried fruit, cereals, and tea was associated with a decreased risk of LBP. Moreover, no causal relationship was found with LBP in the other 13 diets.
Similar content being viewed by others
Data availability
All data used in the current study are publicly available GWAS data. And the pooled data used and analyzed in the present study are available from the article or supplemental materials.
References
Buchbinder R, van Tulder M, Öberg B, Costa LM, Woolf A, Schoene M, Croft P (2018) Low back pain: a call for action. Lancet 391:2384–2388. https://doi.org/10.1016/s0140-6736(18)30488-4
Dincer F, Kesikburun S, Ozdemir O, Yaşar E, Munoz S, Valero R, Juocevidius A, Quittan M, Lukmann A, Winkelman A, Vetra A, Gerdle B, Kiekens C, Branco CA, Smith E, Delargy M, Ilieva E, Boyer FC, Grubisic F, Damjan H, Krüger L, Kankaanpää M, Dimitrova EN, Delic M, Lazovic M, Tomic N, Roussos N, Michail X, Boldrini P, Negrini S, Takac P, Tederko P, Angerova Y (2019) The approach of physiatrists to low back pain across Europe. J Back Musculoskelet Rehabil 32:131–139. https://doi.org/10.3233/bmr-171001
Ärnlöv J, Larsson A (2015) Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the global burden of disease study 2013. Lancet 386:743–800. https://doi.org/10.1016/s0140-6736(15)60692-4
Urits I, Burshtein A, Sharma M, Testa L, Gold PA, Orhurhu V, Viswanath O, Jones MR, Sidransky MA, Spektor B, Kaye AD (2019) Low back pain, a comprehensive review: pathophysiology, diagnosis, and treatment. Curr Pain Headache Rep 23:23. https://doi.org/10.1007/s11916-019-0757-1
Knezevic NN, Candido KD, Vlaeyen JWS, Van Zundert J, Cohen SP (2021) Low back pain. Lancet 398:78–92. https://doi.org/10.1016/s0140-6736(21)00733-9
Nieminen LK, Pyysalo LM, Kankaanpää MJ (2021) Prognostic factors for pain chronicity in low back pain: a systematic review. Pain Rep 6:e919. https://doi.org/10.1097/pr9.0000000000000919
Zick SM, Murphy SL, Colacino J (2020) Association of chronic spinal pain with diet quality. Pain Rep 5:e837. https://doi.org/10.1097/pr9.0000000000000837
Du C, Smith A, Avalos M, South S, Crabtree K, Wang W, Kwon YH, Vijayagopal P, Juma S (2019) Blueberries improve pain, gait performance, and inflammation in individuals with symptomatic knee osteoarthritis. Nutrients. https://doi.org/10.3390/nu11020290
Essouiri J, Harzy T, Benaicha N, Errasfa M, Abourazzak FE (2017) Effectiveness of argan oil consumption on knee osteoarthritis symptoms: a randomized controlled clinical trial. Curr Rheumatol Rev 13:231–235. https://doi.org/10.2174/1573397113666170710123031
Rondanelli M, Faliva MA, Miccono A, Naso M, Nichetti M, Riva A, Guerriero F, De Gregori M, Peroni G, Perna S (2018) Food pyramid for subjects with chronic pain: foods and dietary constituents as anti-inflammatory and antioxidant agents. Nutr Res Rev 31:131–151. https://doi.org/10.1017/s0954422417000270
Ziegler A, Pahlke F, König IR (2008) Comments on ‘Mendelian randomization: using genes as instruments for making causal inferences in epidemiology’ by Debbie A. Lawlor, R. M. Harbord, J. A. Sterne, N. Timpson and G. Davey Smith, Statistics in Medicine, https://doi.org/10.1002/sim.3034. Stat Med 27:2974–2976; author reply 2976–2978. https://doi.org/10.1002/sim.3213
Holmes MV, Ala-Korpela M, Smith GD (2017) Mendelian randomization in cardiometabolic disease: challenges in evaluating causality. Nat Rev Cardiol 14:577–590. https://doi.org/10.1038/nrcardio.2017.78
Zheng J, Baird D, Borges MC, Bowden J, Hemani G, Haycock P, Evans DM, Smith GD (2017) Recent developments in Mendelian randomization studies. Curr Epidemiol Rep 4:330–345. https://doi.org/10.1007/s40471-017-0128-6
Emdin CA, Khera AV, Kathiresan S (2017) Mendelian randomization. JAMA 318:1925–1926. https://doi.org/10.1001/jama.2017.17219
Huang J, Xie ZF (2023) Dried fruit intake causally protects against low back pain: a Mendelian randomization study. Front Nutr 10:1027481. https://doi.org/10.3389/fnut.2023.1027481
Yan H, Jin X, Zhang C, Zhu C, He Y, Du X, Feng G (2023) Associations between diet and incidence risk of lung cancer: a Mendelian randomization study. Front Nutr 10:1149317. https://doi.org/10.3389/fnut.2023.1149317
Yang W, Yang Y, He L, Zhang M, Sun S, Wang F, Han B (2023) Dietary factors and risk for asthma: a Mendelian randomization analysis. Front Immunol 14:1126457. https://doi.org/10.3389/fimmu.2023.1126457
Pierce BL, Ahsan H, Vanderweele TJ (2011) Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants. Int J Epidemiol 40:740–752. https://doi.org/10.1093/ije/dyq151
Davey Smith G, Hemani G (2014) Mendelian randomization: genetic anchors for causal inference in epidemiological studies. Hum Mol Genet 23:R89-98. https://doi.org/10.1093/hmg/ddu328
Luo G, Yao Y, Tao J, Wang T, Yan M (2022) Causal association of sleep disturbances and low back pain: a bidirectional two-sample Mendelian randomization study. Front Neurosci 16:1074605. https://doi.org/10.3389/fnins.2022.1074605
Bowden J, Davey Smith G, Haycock PC, Burgess S (2016) Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol 40:304–314. https://doi.org/10.1002/gepi.21965
Burgess S, Thompson SG (2017) Interpreting findings from Mendelian randomization using the MR-Egger method. Eur J Epidemiol 32:377–389. https://doi.org/10.1007/s10654-017-0255-x
Bowden J, Davey Smith G, Burgess S (2015) Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol 44:512–525. https://doi.org/10.1093/ije/dyv080
Gao RC, Sang N, Jia CZ, Zhang MY, Li BH, Wei M, Wu GC (2022) Association between sleep traits and rheumatoid arthritis: a Mendelian randomization study. Front Public Health 10:940161. https://doi.org/10.3389/fpubh.2022.940161
Chen D, Zhang Y, Yidilisi A, Xu Y, Dong Q, Jiang J (2022) Causal associations between circulating adipokines and cardiovascular disease: a Mendelian randomization study. J Clin Endocrinol Metab 107:e2572–e2580. https://doi.org/10.1210/clinem/dgac048
Verbanck M, Chen CY, Neale B, Do R (2018) Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet 50:693–698. https://doi.org/10.1038/s41588-018-0099-7
Burgess S, Thompson SG (2011) Avoiding bias from weak instruments in Mendelian randomization studies. Int J Epidemiol 40:755–764. https://doi.org/10.1093/ije/dyr036
Borges MC, Haycock PC, Zheng J, Hemani G, Holmes MV, Davey Smith G, Hingorani AD, Lawlor DA (2022) Role of circulating polyunsaturated fatty acids on cardiovascular diseases risk: analysis using Mendelian randomization and fatty acid genetic association data from over 114,000 UK Biobank participants. BMC Med 20:210. https://doi.org/10.1186/s12916-022-02399-w
Shu P, Ji L, Ping Z, Sun Z, Liu W (2022) Association of insomnia and daytime sleepiness with low back pain: a bidirectional Mendelian randomization analysis. Front Genet 13:938334. https://doi.org/10.3389/fgene.2022.938334
Tang Y, Wu J, Xu M, Zhu T, Sun Y, Chen H, Wu L, Chen C (2022) Causal associations of iron status and back pain risk: a Mendelian randomization study. Front Nutr 9:923590. https://doi.org/10.3389/fnut.2022.923590
Zhou J, Mi J, Peng Y, Han H, Liu Z (2021) Causal associations of obesity with the intervertebral degeneration, low back pain, and sciatica: a two-sample mendelian randomization study. Front Endocrinol (Lausanne) 12:740200. https://doi.org/10.3389/fendo.2021.740200
Afshin A, Sur PJ, Fay KA, Cornaby L, Ferrara G, Salama JS, Mullany EC, Abate KH, Abbafati C, Abebe Z, Afarideh M (2019) Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet 393:1958–1972. https://doi.org/10.1016/s0140-6736(19)30041-8
Ferreira PH, Pinheiro MB, Machado GC, Ferreira ML (2013) Is alcohol intake associated with low back pain? A systematic review of observational studies. Man Ther 18:183–190. https://doi.org/10.1016/j.math.2012.10.007
Mendonça CR, Noll M, Castro MCR, Silveira EA (2020) Effects of nutritional interventions in the control of musculoskeletal pain: an integrative review. Nutrients 12:3075. https://doi.org/10.3390/nu12103075
Teodorczyk-Injeyan JA, Triano JJ, Injeyan HS (2019) Nonspecific low back pain: inflammatory profiles of patients with acute and chronic pain. Clin J Pain 35:818–825. https://doi.org/10.1097/ajp.0000000000000745
Philpot U, Johnson MI (2019) Diet therapy in the management of chronic pain: better diet less pain? Pain Manag 9:335–338. https://doi.org/10.2217/pmt-2019-0014
Calle MC, Andersen CJ (2019) Assessment of dietary patterns represents a potential, yet variable, measure of inflammatory status: a review and update. Dis Markers 2019:3102870. https://doi.org/10.1155/2019/3102870
Giromini C, Givens DI (2022) Benefits and risks associated with meat consumption during key life processes and in relation to the risk of chronic diseases. Foods 11:2063. https://doi.org/10.3390/foods11142063
Dewell A, Weidner G, Sumner MD, Chi CS, Ornish D (2008) A very-low-fat vegan diet increases intake of protective dietary factors and decreases intake of pathogenic dietary factors. J Am Diet Assoc 108:347–356. https://doi.org/10.1016/j.jada.2007.10.044
Towery P, Guffey JS, Doerflein C, Stroup K, Saucedo S, Taylor J (2018) Chronic musculoskeletal pain and function improve with a plant-based diet. Complement Ther Med 40:64–69. https://doi.org/10.1016/j.ctim.2018.08.001
Pimentel GD, Micheletti TO, Pace F, Rosa JC, Santos RV, Lira FS (2012) Gut-central nervous system axis is a target for nutritional therapies. Nutr J 11:22. https://doi.org/10.1186/1475-2891-11-22
Acknowledgements
Our data are taken from the publicly available GWAS database. We thank the genetics consortiums for publicly making the GWAS summary data available.
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. SSL, XFL, XMD, and CW were involved in study design, data collection, and statistical analysis. SSL, XFL, RL, and JHD were involved in writing—original draft. SSL, XFL, XMD, RL, JHD, and CW were involved in writing—review and editing.
Corresponding author
Ethics declarations
Conflict of interest
None of the authors has any conflicts of interest.
Ethical approval
The manuscript does not contain clinical studies or patient data.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Liu, S., Lv, X., Deng, X. et al. Diet and risk of low back pain: a Mendelian randomization analysis. Eur Spine J 33, 496–504 (2024). https://doi.org/10.1007/s00586-023-07970-4
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00586-023-07970-4