Abstract
The objective of this study is to investigate the association of clinical markers of obesity and weight trajectories with chronic musculoskeletal pain (CMP). This is a cross-sectional study using baseline data from ELSA-Brasil MSK cohort. CMP was evaluated at nine body sites (neck, shoulders, upper back, elbows, lower back, wrists/hands, hips/thighs, knees, ankles/feet), and defined as pain lasting > 6 months in the past year. General and abdominal obesity levels were classified according to accepted cut-offs for body mass index (BMI), waist circumference (WC) and waist–height ratio (WHtR). Binomial and multinomial logistic regressions tested for associations with CMP at any site, at ≥ 3 sites (multisite) and in upper + lower limbs + axial skeleton (generalized). A total of 2899 participants (mean age 56.0 ± 8.93) were included, 55.0% reported CMP, 19.1% had multisite, and 10.3% had generalized CMP. After adjustments for sex, age, education, physical activity and depressive symptoms, nearly all the investigated markers of obesity were associated with any CMP, multisite and generalized CMP, with strongest associations being observed for general obesity level II/III: OR 2.08 (95% CI 1.45–2.99), OR 3.19 (95% CI 2.06–4.94) and OR 3.65 (2.18–6.11), respectively. Having excess weight currently or both at age 20 and currently was also associated with all CMP presentations. Associations of greater magnitude were consistently observed at higher obesity levels and longer exposures to excess weight (dose–response). These results may support the contribution of obesity-derived mechanical and inflammatory mechanisms of CMP, and indicate a role for the accumulation of exposure to excess weight across the adult life course.
Similar content being viewed by others
References
GBD 2017 Disease and Injury Incidence and Prevalence Collaborators (2018) Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet 392(10159):1789–1858. https://doi.org/10.1016/S0140-6736(18)32279-7
Torres J, da Silva S, Ferreira F, Mendes L, Machado L (2018) Chronic pain is associated with increased health care use among community-dwelling older adults in Brazil: the pain in the elderly (PAINEL) study. Fam Pract. https://doi.org/10.1093/fampra/cmy123(Epub ahead of print)
Stewart WF, Ricci JA, Chee E, Morganstein D, Lipton R (2003) Lost productive time and cost due to common pain conditions in the US workforce. JAMA 290(18):2443–2454. https://doi.org/10.1093/fampra/cmy123
Larsson B, Bjork J, Borsbo B, Gerdle B (2012) A systematic review of risk factors associated with transitioning from regional musculoskeletal pain to chronic widespread pain. Eur J Pain 16(8):1084–1093. https://doi.org/10.1002/j.1532-2149.2012.00117.x
Wolfe F, Clauw DJ, Fitzcharles MA et al (2016) 2016 Revisions to the 2010/2011 fibromyalgia diagnostic criteria. Semin Arthritis Rheum 46(3):319–329. https://doi.org/10.1016/j.semarthrit.2016.08.012
Kamaleri Y, Natvig B, Ihlebaek CM, Bruusgaard D (2008) Localized or widespread musculoskeletal pain: does it matter? Pain 138(1):41–46. https://doi.org/10.1016/j.pain.2007.11.002
Miranda VS, Decarvalho VB, Machado LA, Dias JM (2012) Prevalence of chronic musculoskeletal disorders in elderly Brazilians: a systematic review of the literature. BMC Musculoskeletal Dis 13:82. https://doi.org/10.1186/1471-2474-13-82
Cimas M, Ayala A, Sanz B, Agulló-Tomás MS, Escobar A, Forjaz MJ (2018) Chronic musculoskeletal pain in European older adults: cross-national and gender differences. Eur J Pain 22(2):333–345. https://doi.org/10.1002/ejp.1123
Coggon D, Ntani G, Palmer KT et al (2013) Patterns of multisite pain and associations with risk factors. Pain 154(9):1769–1777. https://doi.org/10.1016/j.pain.2013.05.039
Mourao AF, Blyth FM, Branco JC (2010) Generalised musculoskeletal pain syndromes. Best Pract Res Clin Rheumatol 24(6):829–840. https://doi.org/10.1016/j.berh.2010.10.005
Hajihosseinali M, Arjmand N, Shirazi-Adl A (2015) Effect of body weight on spinal loads in various activities: a personalized biomechanical modeling approach. J Biomech 48(2):276–282. https://doi.org/10.1016/j.jbiomech.2014.11.033
Singh D, Park W, Hwang D, Levy MS (2015) Severe obesity effect on low back biomechanical stress of manual load lifting. Work 51(2):337–348. https://doi.org/10.3233/WOR-141945
Knarr BA, Higginson JS, Zeni JA (2016) Change in knee contact force with simulated change in body weight. Comput Methods Biomech Biomed Eng 19(3):320–323. https://doi.org/10.1080/10255842.2015.1018193
Ouchi N, Parker JL, Lugus JJ (2011) Adipokines in inflammation and metabolic disease. Nat Rev Immunol 11(2):85–97. https://doi.org/10.1038/nri2921
Woolf CJ (2011) Central sensitization: implications for the diagnosis and treatment of pain. Pain 152(3 Suppl):S2–15. https://doi.org/10.1016/j.pain.2010.09.030
Paley CA, Johnson MI (2016) Physical activity to reduce systemic inflammation associated with chronic pain and obesity: a narrative review. Clin J Pain 32(4):365–370. https://doi.org/10.1097/AJP.0000000000000258
Shiri R, Karppinen J, Leino-Arjas P et al (2007) Cardiovascular and lifestyle risk factors in lumbar radicular pain or clinically defined sciatica: a systematic review. Eur Spine J 16(12):2043–2054. https://doi.org/10.1007/s00586-007-0362-6
Walsh TP, Arnold JB, Evans AM, Yaxley A, Damarell RA, Shanahan EM (2018) The association between body fat and musculoskeletal pain: a systematic review and meta-analysis. BMC Musculoskelet Dis 19(1):233. https://doi.org/10.1186/s12891-018-2137-0
Savva SC, Lamnisos D, Kafatos AG (2013) Predicting cardiometabolic risk: waist-to-height ratio or BMI. A meta-analysis. Diabetes Metab Syndr Obes 6:403–419. https://doi.org/10.2147/DMSO.S34220
Goossens GH (2017) The metabolic phenotype in obesity: fat mass, body fat distribution, and adipose tissue function. Obes Facts 10(3):207–215. https://doi.org/10.1159/000471488
Ashwell M, Gunn P, Gibson S (2012) Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev 13(3):275–286. https://doi.org/10.1111/j.1467-789X.2011.00952.x
Ashwell M, Gibson S (2014) A proposal for a primary screening tool: ‘Keep your waist circumference to less than half your height’. BMC Med 12(1):207. https://doi.org/10.1186/s12916-014-0207-1
Ogwumike OO, Adeniyi AF, Orogbemi OO (2015) Musculoskeletal pain among postmenopausal women in Nigeria: association with overall and central obesity. Hong Kong Physiother J 34:41–46. https://doi.org/10.1016/j.hkpj.2015.06.001
Frilander H, Viikari-Juntura E, Heliovaara M, Mutanen P, Mattila VM, Solovieva S (2016) Obesity in early adulthood predicts knee pain and walking difficulties among men: a life course study. Eur J Pain 20(8):1278–1287. https://doi.org/10.1002/ejp.852
Dawson J, Juszczak E, Thorogood M, Marks SA, Dodd C, Fitzpatrick R (2003) An investigation of risk factors for symptomatic osteoarthritis of the knee in women using a life course approach. J Epidemiol Community Health 57(10):823–830. https://doi.org/10.1136/jech.57.10.823
Macfarlane GJ, de Silva V, Jones GT (2011) The relationship between body mass index across the life course and knee pain in adulthood: results from the 1958 birth cohort study. Rheumatology 50(12):2251–2256. https://doi.org/10.1093/rheumatology/ker276
Frilander H, Solovieva S, Mutanen P, Pihlajamaki H, Heliovaara M, Viikari-Juntura E (2015) Role of overweight and obesity in low back disorders among men: a longitudinal study with a life course approach. BMJ Open 5(8):e007805. https://doi.org/10.1136/bmjopen-2015-007805
Aquino EM, Barreto SM, Bensenor IM et al (2012) Brazilian longitudinal study of adult health (ELSA-Brasil): objectives and design. Am J Epidemiol 175(4):315–324. https://doi.org/10.1093/aje/kwr294
Machado LAC, Telles RW, Costa-Silva L, Barreto SM (2015) Perfil da coorte ELSA-Brasil musculoesquelético. Braz J Rheumatol 56(Suppl 1):S29–30
de Barros EM, Alexandre NM (2003) Cross-cultural adaptation of the Nordic musculoskeletal questionnaire. Int Nurs Rev 50(2):101–108. https://doi.org/10.1046/j.1466-7657.2003.00188.x
Mundal I, Bjorngaard JH, Nilsen TI, Nicholl BI, Grawe RW, Fors EA (2016) Long-term changes in musculoskeletal pain sites in the general population: the HUNT study. J Pain 17(11):1246–1256. https://doi.org/10.1016/j.jpain.2016.08.006
Mundal I, Grawe RW, Bjorngaard JH, Linaker OM, Fors EA (2014) Prevalence and long-term predictors of persistent chronic widespread pain in the general population in an 11-year prospective study: the HUNT study. BMC Musculoskelet Disord 15:213. https://doi.org/10.1186/1471-2474-15-213
Schmidt MI, Griep RH, Passos VM et al (2013) Strategies and development of quality assurance and control in the ELSA-Brasil. Rev Saúde Pública 47(Suppl 2):105–112. https://doi.org/10.1590/S0034-8910.2013047003889
World Health Organization (1995) Physical status: the use and interpretation of anthropometry. WHO Technical Report Series 854, Geneva. https://www.who.int/childgrowth/publications/physical_status/en/. Accessed 11 May 2019
World Health Organization (2008) Waist circumference and waist–hip ratio: report of a WHO expert consultation. Geneva, p 39
Schmidt MI, Duncan BB, Mill JG et al (2015) cohort profile: longitudinal study of adult health (ELSA-Brasil). Int J Epidemiol 44(1):68–75. https://doi.org/10.1093/ije/dyu027
World Health Organization (2000) Obesity: preventing and managing the global epidemic. Report. https://www.who.int/nutrition/publications/obesity/WHO_TRS_894/en/. Accessed 11 May 2019
Henschke N, Kamper SJ, Maher CG (2015) The epidemiology and economic consequences of pain. Mayo Clin Proc 90(1):139–147. https://doi.org/10.1016/j.mayocp.2014.09.010
Autor DH, Levy F, Murnane RJ (2003) The skill content of recent technological change: an empirical exploration. Q J Econ 118(4):1279–1333. https://doi.org/10.1162/003355303322552801
Matsudo S, Araújo T, Matsudo V, Andrade D, Andrade E, Oliveira LC, Braggion G (2001) International physical activity questionnaire (lPAQ): study of validity and reliability in Brazil. Rev Bras Ativ Fis Saude 6(2):5–18. https://rbafs.org.br/RBAFS/article/view/931/1222
Nunes, MA., Alves, MGM, Chor D, Schmidt MI, Duncan BB (2011) Adaptação transcultural do CIS-R (clinical interview schedule-revised version) para o português no Estudo Longitudinal de Saúde do Adulto (ELSA). Rev HCPA 31(4):487–90. https://seer.ufrgs.br/hcpa/article/view/24065/14973
Haukka E, Ojajarvi A, Takala EP, Viikari-Juntura E, Leino-Arjas P (2012) Physical workload, leisure-time physical activity, obesity and smoking as predictors of multisite musculoskeletal pain. A 2-year prospective study of kitchen workers. Occup Environ Med 69(7):485–492. https://doi.org/10.1136/oemed-2011-100453
Mundal I, Grawe RW, Bjorngaard JH, Linaker OM, Fors EA (2014) Psychosocial factors and risk of chronic widespread pain: an 11-year follow-up study–the HUNT study. Pain 155(8):1555–1561. https://doi.org/10.1016/j.pain.2014.04.033
Narouze S, Souzdalnitski D (2015) Obesity and chronic pain: systematic review of prevalence and implications for pain practice. Reg Anesth Pain Med 40(2):91–111. https://doi.org/10.1097/AAP.0000000000000218
Pan F, Laslett L, Blizzard L, Cicuttini F, Winzenberg T, Ding C, Jones G (2017) Associations between fat mass and multisite pain: a five-year longitudinal study. Arthritis Care Res 69(4):509–516. https://doi.org/10.1002/acr.22963
Han TS, Schouten JS, Lean ME, Seidell JC (1997) The prevalence of low back pain and associations with body fatness, fat distribution and height. Int J Obes 21(7):600–607. https://doi.org/10.1038/sj.ijo.0800448
Ray L, Lipton RB, Zimmerman ME, Katz MJ, Derby CA (2011) Mechanisms of association between obesity and chronic pain in the elderly. Pain 152(1):53–59. https://doi.org/10.1016/j.pain.2010.08.04
Heuch I, Heuch I, Hagen K, Zwart JA (2015) A comparison of anthropometric measures for assessing the association between body size and risk of chronic low back pain: the HUNT study. PLoS One 10(10):e0141268. https://doi.org/10.1371/journal.pone.0141268
Dario AB, Ferreira ML, Refshauge K et al (2016) Are obesity and body fat distribution associated with low back pain in women? A population-based study of 1128 Spanish twins. Eur Spine J 25(4):1188–1195. https://doi.org/10.1007/s00586-015-4055-2
Hussain SM, Urquhart DM, Wang Y, Shaw JE, Magliano DJ, Wluka AE, Cicuttini FM (2017) Fat mass and fat distribution are associated with low back pain intensity and disability: results from a cohort study. Arthritis Res Ther 19(1):26. https://doi.org/10.1186/s13075-017-1242-z
Shiri R, Falah-Hassani K, Heliovaara M et al (2019) Risk factors for low back pain: a population-based longitudinal study. Arthritis Care Res 71(2):290–299. https://doi.org/10.1002/acr.23710
Power C, Frank J, Hertzman C, Schierhout G, Li L (2001) Predictors of low back pain onset in a prospective British study. Am J Public Health 91(10):1671–1678. https://doi.org/10.2105/AJPH.91.10.1671
Kouvari M, Panagiotakos DB, Yannakoulia M et al (2019) Transition from metabolically benign to metabolically unhealthy obesity and 10-year cardiovascular disease incidence: the ATTICA cohort study. Metabolism 93:18–24. https://doi.org/10.1016/j.metabol.2019.01.003
Krakauer NY, Krakauer JC (2018) Untangling waist circumference and hip circumference from body mass index with a body shape index, hip index, and anthropometric risk indicator. Metab Syndr Relat Disord 16(4):160–165. https://doi.org/10.1089/met.2017.0166
Graven-Nielsen T, Arendt-Nielsen L (2010) Assessment of mechanisms in localized and widespread musculoskeletal pain. Nat Rev Rheumatol 6(10):599–606. https://doi.org/10.1038/nrrheum.2010.107
Harte SE, Harris RE, Clauw DJ (2018) The neurobiology of central sensitization. J Appl Behav Res 23(2):e12137. https://doi.org/10.1111/jabr.12137
Davis MA, Ettinger WH, Neuhaus JM (1990) Obesity and osteoarthritis of the knee: evidence from the National Health and Nutrition Examination Survey (NHANES I). Semin Arthritis Rheum 20(3 Suppl 1):34–41. https://doi.org/10.1016/0049-0172(90)90045-H
Lake JK, Power C, Cole TJ (2000) Back pain and obesity in the 1958 British birth cohort: cause or effect? J Clin Epidemiol 53(3):245–250. https://doi.org/10.1016/S0895-4356(99)00155-9
Magnusson K, Osteras N, Mowinckel P, Natvig B, Hagen KB (2014) No strong temporal relationship between obesity and multisite pain–results from a population-based 20-year follow-up study. Eur J Pain 18(1):120–127. https://doi.org/10.1002/j.1532-2149.2013.00338.x
Pearl J (2009) Causal inference in statistics: an overview. Stat Surv 3:96–146. https://doi.org/10.1002/j.1532-2149.2013.00338.x
Poleshuck EL, Green CR (2008) Socioeconomic disadvantage and pain. Pain 136(3):235–238. https://doi.org/10.1016/j.pain.2008.04.003
Cohen AK, Rai M, Rehkopf DH et al (2013) Educational attainment and obesity: a systematic review. Obes Rev 14(12):989–1005. https://doi.org/10.1111/obr.12062
Acknowledgements
We would like to thank the staff and participants of ELSA-Brasil MSK. We would also like to thank Douglas R.M. Azevedo for his support in building Venn diagrams.
Funding
ELSA-Brasil has been supported by the Brazilian Ministry of Health (Science and Technology Department) and the Brazilian Ministry of Science and Technology (Financiadora de Estudos e Projetos and CNPq-BR), Grants 01 06 0010.00 RS, 01 06 0212.00 BA, 01 06 0300.00 ES, 01 06 0278.00 MG, 01 06 0115.00 SP, 01 06 0071.00 RJ. ELSA-Brasil MSK has been supported by CAPES-BR (Grant pós-doc/SUS 054/2010), FAPEMIG-BR (Grant APQ-00921-16) and CNPq-BR (Grant 42358520169). The investigation was carried out while Dr. Luciana A.C. Machado was a Postdoctoral Fellow and MSc. Aline A.B. Costa was a PhD candidate, both supported by CAPES-BR (Finance Code 001). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Author information
Authors and Affiliations
Contributions
ABPC, LACM, RWT and SMB contributed to study conception and design, and to the analysis and interpretation of data; ABPC drafted the first version of the manuscript, and LACM, RWT and SMB revised it critically for intellectual content. All authors read and approved the final version of the manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors have no conflict of interest to report.
Ethical approval
This study used data from ELSA-Brasil and its ancillary musculoskeletal cohort, ELSA-Brasil MSK. ELSA-Brasil was approved by the National Committee for Ethics in Research (Comissão Nacional de Ética em Pesquisa—CONEP), Brazil [protocol 976/2006]. ELSA-Brasil MSK was approved by the ethics and research committee of Universidade Federal de Minas Gerais (UFMG), Brazil [protocol COEP/UFMG, Etic 186/06; CEP 1.160.939; CAAE 0186.1.203.000-06]. The study was performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments, and all participants signed a written informed consent after they had been informed of details of the study.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
296_2020_4557_MOESM1_ESM.docx
Supplementary file1 Online Resource 1 is a table describing the characteristics of included participants according to the presence, number of sites and spatial distribution of chronic musculoskeletal pain (CMP) (DOCX 30 kb)
296_2020_4557_MOESM2_ESM.docx
Supplementary file2 Online Resource 2 is a figure that illustrates the prevalence of different presentations of chronic musculoskeletal pain (at any site, at multisite and generalized pain) according to obesity clinical markers (DOCX 130 kb)
296_2020_4557_MOESM3_ESM.docx
Supplementary file3 Online Resource 3 is a figure that illustrates the frequency of chronic musculoskeletal pain according to body regions (upper limbs: shoulders, elbows and/or wrists/hands; lower limbs: knees, hips/thighs and/or ankles/feet; axial skeleton: neck, upper back and/or lower back) and markers of obesity/weight trajectories (DOCX 1445 kb)
Rights and permissions
About this article
Cite this article
Costa, A.B.P., Machado, L.A.C., Telles, R.W. et al. Dose–response associations of clinical markers of obesity and duration of exposure to excess weight with chronic musculoskeletal pain: cross-sectional analysis at baseline of ELSA-Brasil Musculoskeletal cohort. Rheumatol Int 40, 881–891 (2020). https://doi.org/10.1007/s00296-020-04557-w
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00296-020-04557-w