Global disparities in association between leisure-time physical activity and chronic musculoskeletal pain: A systematic review and meta-analysis

Elmo Wing-Yiu Lee , Chi Wai Cheung , Lin Wang , Fengfeng Wang , Hung Chak Ho

Global Health Research and Policy ›› 2026, Vol. 11 ›› Issue (1) : 74 -83.

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Global Health Research and Policy ›› 2026, Vol. 11 ›› Issue (1) :74 -83. DOI: 10.1016/j.ghrp.2026.05.002
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Global disparities in association between leisure-time physical activity and chronic musculoskeletal pain: A systematic review and meta-analysis
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Abstract

Background: Previous studies have extensively investigated the association between leisure-time physical activity (LTPA) and chronic musculoskeletal pain (CMSP). However, the results have been inconsistent. It is not known whether the differences in the association between LTPA and CMSP are due to underlying factors such as demographic patterns, geographical characteristics, and location(s) of pain.
Methods: The systematic review and meta-analysis was conducted to assess global disparities in association between LTPA and CMSP .PubMed, EMBASE, MEDLINE, and Web of Science were searched for observational studies examining LTPA and the prevalence or incidence of CMSP in the general population. The systematic review with quality assessment using the JBI checklist and the Newcastle-Ottawa Scale was followed by a random-effects meta-analysis, including subgroup analysis using the following variables: sex, age group, geographical regions and location(s) of pain. Clinical significance of the pooled odds ratio (OR) was assessed using Cohen’s d and risk of publication bias was assessed using Egger’s test, funnel plot and trim-and-fill analysis.
Results: Across 119 studies, the overall OR for the association between LTPA and CMSP averaged 0.78 (95% CI: 0.70–0.87, I2 = 99.5%) with no clinical significance (d = −0.137). Differences between genders were insignificant. Among age subgroups, adults and middle-aged/older adults showed a negative association between LTPA and CMSP (OR = 0.62, 95% CI: 0.47–0.82). Pain locations with reduced odds included unspecified pain locations (OR = 0.73, 95% CI: 0.62–0.86) and lower back (OR = 0.82, 95% CI: 0.69–0.98). Geographic subgroups with negative LTPA-CMSP associations included high-income countries (OR = 0.78, 95% CI: 0.70–0.88), the continents of North and South America and Europe, and the regions of Northern and Western Europe. The differences between continents and between subcontinental regions were both significant ( p = 0.0211 and p = 0.0260, respectively), suggesting an influence of sociocultural factors in addition to income level.
Conclusions: LTPA was inversely associated with CMSP, especially in selected populations and pain locations. This association could be due to underlying factors, such as local factors that characterize LTPA in different countries. These findings suggest that the benefits of LTPA cannot be considered universally applicable. Locally and regionally tailored interventions should be developed, taking into account place-specific structural, economic and social characteristics.

Keywords

Exercise / Chronic pain / Musculoskeletal pain / Meta-analysis / Geographic disparity / Demographic characteristics

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Elmo Wing-Yiu Lee, Chi Wai Cheung, Lin Wang, Fengfeng Wang, Hung Chak Ho. Global disparities in association between leisure-time physical activity and chronic musculoskeletal pain: A systematic review and meta-analysis. Global Health Research and Policy, 2026, 11 (1) : 74-83 DOI:10.1016/j.ghrp.2026.05.002

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References

[1]

Goldberg DS, McGee SJ. Pain as a global public health priority. BMC Public Health. 2011; 11: 770. https://doi.org/10.1186/1471-2458-11-770

[2]

van Hecke O, Torrance N, Smith BH. Chronic pain epidemiology and its clinical relevance. Br J Anaesth. 2013; 111(1): 13-18. https://doi.org/10.1093/bja/aet123

[3]

Treede RD, Rief W, Barke A, et al. A classification of chronic pain for ICD-11. Pain. 2015; 156(6): 1003-1007. https://doi.org/10.1097/j.pain.0000000000000160

[4]

Jackson T, Thomas S, Stabile V, Shotwell M, Han X, McQueen K. A systematic review and meta-analysis of the global burden of chronic pain without clear etiology in low- and middle-income countries: trends in heterogeneous data and a proposal for new assessment Methods. Anesth Analg. 2016; 123(3): 739-748. https://doi.org/10.1213/ANE.0000000000001389

[5]

Dahlhamer J, Lucas J, Zelaya C, et al. Prevalence of chronic pain and high-impact chronic pain among adults - United States, 2016. MMWR Morb Mortal Wkly Rep. 2018; 67(36): 1001-1006. https://doi.org/10.15585/mmwr.mm6736a2

[6]

Chou YC, Shih CC, Lin JG, Chen TL, Liao CC. Low back pain associated with sociodemographic factors, lifestyle and osteoporosis: a population-based study. J Rehabil Med. 2013; 45(1): 76-80. https://doi.org/10.2340/16501977-1070

[7]

Treede RD, Rief W, Barke A, et al. A classification of chronic pain for ICD-11. Pain. 2015; 156(6): 1003-1007. https://doi.org/10.1097/j.pain.0000000000000160

[8]

Geneen LJ, Moore RA, Clarke C, Martin D, Colvin LA, Smith BH. Physical activity and exercise for chronic pain in adults: an overview of Cochrane Reviews. Cochrane Database Syst Rev. 2017; 4: CD011279. https://doi.org/10.1002/14651858.CD011279.pub3

[9]

Searle A, Spink M, Ho A, Chuter V. Exercise interventions for the treatment of chronic low back pain: a systematic review and meta-analysis of randomised controlled trials. Clin Rehabil. 2015; 29(12): 1155-1167. https://doi.org/10.1177/0269215515570379

[10]

Kandula NR, Lauderdale DS. Leisure time, non-leisure time, and occupational physical activity in Asian Americans. Ann Epidemiol. 2005; 15(4): 257-265. https://doi.org/10.1016/j.annepidem.2004.06.006

[11]

Booth FW, Roberts CK, Laye MJ. Lack of exercise is a major cause of chronic diseases. Compr Physiol. 2012; 2(2): 1143-1211. https://doi.org/10.1002/cphy.c110025

[12]

Todd KR, Lawrason SVC, Shaw RB, Wirtz D, Martin Ginis KA. Physical activity interventions, chronic pain, and subjective well-being among persons with spinal cord injury: a systematic scoping review. Spinal Cord. 2021; 59(2): 93-104. https://doi.org/10.1038/s41393-020-00550-z

[13]

da Costa BR, Vieira ER. Risk factors for work-related musculoskeletal disorders: a systematic review of recent longitudinal studies. Am J Ind Med. 2010; 53(3): 285-323. https://doi.org/10.1002/ajim.20750

[14]

Shiri RF-HK. Does leisure time physical activity protect against low back pain? Systematic review and meta-analysis of 36 prospective cohort studies. Br J Sports Med. 2017; 51(19): 1410-1418. https://doi.org/10.1136/bjsports-2016-097352

[15]

Lin CWMJ, Macedo L, Barnett DC, Smeets RJ, Verbunt JA. Relationship between physical activity and disability in low back pain: a systematic review and meta-analysis. Pain. 2011; 152(3): 607-613. https://doi.org/10.1016/j.pain.2010.11.034

[16]

Bell JABA . Exercise for the primary, secondary and tertiary prevention of low back pain in the workplace: a systematic review. J Occup Rehabil. 2009; 19(1): 8-24. https://doi.org/10.1007/s10926-009-9164-5

[17]

Shiri R, Falah-Hassani K. Does leisure time physical activity protect against low back pain? Systematic review and meta-analysis of 36 prospective cohort studies. Br J Sports Med. 2017; 51(19): 1410-1418. https://doi.org/10.1136/bjsports-2016-097352

[18]

Alzahrani H, Mackey M, Stamatakis E, Zadro JR, Shirley D. The association between physical activity and low back pain: a systematic review and meta-analysis of observational studies. Sci Rep. 2019; 9(1): 8244. https://doi.org/10.1038/s41598-019-44664-8

[19]

Bonica JJ. The Management of Pain. Lea & Febiger; 1953.

[20]

Steinbach D., Graf C. Leisure time physical activity and sedentariness. In: Kirch W., ed. Encyclopedia of Public Health. Springer Netherlands; 2008: 849-851.

[21]

Schünemann H.J., Vist G.E., Higgins J.P.T., Chapter 15: interpreting results and drawing conclusions. In: Higgins J.P.T., Thomas J., Chandler J., et al, eds. Cochrane Handbook for Systematic Reviews of Interventions. version 6.3 ed. Cochrane; 2022. www.training.cochrane.org/handbook.

[22]

Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Method. 2014; 14: 135. https://doi.org/10.1186/1471-2288-14-135

[23]

Wells G.A., Shea B., O'Connell D., et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. 〈http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp〉].

[24]

Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010; 25(9): 603-605. https://doi.org/10.1007/s10654-010-9491-z

[25]

Ma LL, Wang YY, Yang ZH, Huang D, Weng H, Zeng XT. Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better? Mil Med Res. 2020; 7(1): 7. https://doi.org/10.1186/s40779-020-00238-8

[26]

Viechtbauer W. Conducting meta-analyses in R with the metafor package. J Stat Softw. 2010; 36(3): 1-48. https://doi.org/10.18637/jss.v036.i03

[27]

Hartung J, Knapp G. On tests of the overall treatment effect in meta-analysis with normally distributed responses. Stat Med. 2001; 20(12): 1771-1782. https://doi.org/10.1002/sim.791

[28]

Langan D, Higgins JPT, Jackson D, et al. A comparison of heterogeneity variance estimators in simulated random-effects meta-analyses. Res Synth Methods. 2019; 10(1): 83-98. https://doi.org/10.1002/jrsm.1316

[29]

Kpolovie PJ, Ewansiha S, Esara M. Continental comparison of human development index (HDI). Int J Humanit Soc Sci Educ (IJHSSE). 2017; 4(1): 9-27.

[30]

Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002; 21(11): 1539-1558. https://doi.org/10.1002/sim.1186

[31]

Kraemer HC, Kupfer DJ. Size of treatment effects and their importance to clinical research and practice. Biol Psychiatry. 2006; 59(11): 990-996. https://doi.org/10.1016/j.biopsych.2005.09.014

[32]

Borenstein M, Hedges LV, Higgins JP, Rothstein HR. Introduction to Meta-analysis. John Wiley & Sons; 2021.

[33]

Guyatt GH, Oxman AD, Montori V, et al. GRADE guidelines: 5. Rating the quality of evidence-publication bias. J Clin Epidemiol. 2011; 64(12): 1277-1282. https://doi.org/10.1016/j.jclinepi.2011.01.011

[34]

Sterne JAC, Egger M. Regression methods to detect publication and other bias in meta-analysis. Publ Bias Meta-Anal. 2005: 99-110.

[35]

Sajeev MF, Kelada L, Wakefield CE, et al. Interactive video games to reduce paediatric procedural pain and anxiety: a systematic review and meta-analysis. Br J Anaesth. 2021; 127(4): 608-619.

[36]

Shi L, Lin L. The trim-and-fill method for publication bias: practical guidelines and recommendations based on a large database of meta-analyses. Medicine. 2019; 98(23): e15987. https://doi.org/10.1097/MD.0000000000015987

[37]

Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021; 372: n71. https://doi.org/10.1136/bmj.n71

[38]

Mork PJ, Vik KL, Moe B, Lier R, Bardal EM, Nilsen TI. Sleep problems, exercise and obesity and risk of chronic musculoskeletal pain: the Norwegian HUNT study. Eur J Public Health. 2014; 24(6): 924-929. https://doi.org/10.1093/eurpub/ckt198

[39]

Nilsen TI, Holtermann A, Mork PJ. Physical exercise, body mass index, and risk of chronic pain in the low back and neck/shoulders: longitudinal data from the Nord-Trondelag Health Study. Am J Epidemiol. 2011; 174(3): 267-273. https://doi.org/10.1093/aje/kwr087

[40]

Wadley AL, Iacovides S, Roche J, et al. Working nights and lower leisure-time physical activity associate with chronic pain in Southern African long-distance truck drivers: a cross-sectional study. PLOS One. 2020; 15(12): e0243366. https://doi.org/10.1371/journal.pone.0243366

[41]

García-Heras F, Gutiérrez-Arroyo J, León-Guereño P, Carballo-Leyenda B, Rodríguez-Marroyo JA . Chronic pain in Spanish wildland firefighters. J Clin Med. 2022; 11(4). https://doi.org/10.3390/jcm11040989

[42]

Surís X, Ortiz-Santamaria V, Pueyo-Sánchez MJ, Mompart-Penina A, Larrosa M, Ricart A. Decreasing prevalence of chronic back pain in Catalonia. Analysis of the Catalan health survey. Public Health. 2022; 206: 38-45. https://doi.org/10.1016/j.puhe.2022.02.019

[43]

Burton AK, Tillotson KM. Does leisure sports activity influence lumbar mobility or the risk of low back trouble? J Spinal Disord. 1991; 4(3): 329-336. https://doi.org/10.1097/00002517-199109000-00010

[44]

Swain MS, Henschke N, Kamper SJ, Gobina I, Ottova-Jordan V, Maher CG. Pain and moderate to vigorous physical activity in adolescence: an international population-based survey. Pain Med. 2016; 17(5): 813-819. https://doi.org/10.1111/pme.12923

[45]

Tanriver-Ayder E, Faes C, van de Casteele T, McCann SK, Macleod MR. Comparison of commonly used methods in random effects meta-analysis: application to preclinical data in drug discovery research. BMJ Open Sci. 2021; 5(1): e100074. https://doi.org/10.1136/bmjos-2020-100074

[46]

Thorlund K, Wetterslev J, Awad T, Thabane L, Gluud C. Comparison of statistical inferences from the DerSimonian-Laird and alternative random-effects model meta-analyses - an empirical assessment of 920 Cochrane primary outcome meta-analyses. Res Synth Methods. 2011; 2(4): 238-253. https://doi.org/10.1002/jrsm.53

[47]

Overstreet DS, Strath LJ, Jordan M, et al. A brief overview: sex differences in prevalent chronic musculoskeletal conditions. Int J Environ Res Public Health. 2023; 20(5). https://doi.org/10.3390/ijerph20054521

[48]

Azevedo MR, Araujo CL, Reichert FF, Siqueira FV, da Silva MC, Hallal PC. Gender differences in leisure-time physical activity. Int J Public Health. 2007; 52(1): 8-15. https://doi.org/10.1007/s00038-006-5062-1

[49]

Ho A, Ashe MC, DeLongis A, Graf P, Khan KM, Hoppmann CA. Gender differences in pain-physical activity linkages among older adults: lessons learned from daily life approaches. Pain Res Manag. 2016; 2016: 1931590. https://doi.org/10.1155/2016/1931590

[50]

de Aguiar Greca JP, Korff T, Ryan J. Associations between children's physical activity, pain and injuries. Percept Mot Skills. 2021; 128(5): 1959-1974. https://doi.org/10.1177/00315125211028455

[51]

Littleton SH, Berkowitz RI, Grant SFA. Genetic determinants of childhood obesity. Mol Diagn Ther. 2020; 24(6): 653-663. https://doi.org/10.1007/s40291-020-00496-1

[52]

Garver WS, Newman SB, Gonzales-Pacheco DM, et al. The genetics of childhood obesity and interaction with dietary macronutrients. Genes Nutr. 2013; 8(3): 271-287. https://doi.org/10.1007/s12263-013-0339-5

[53]

Caprio S, Daniels SR, Drewnowski A, et al. Influence of race, ethnicity, and culture on childhood obesity: implications for prevention and treatment: a consensus statement of shaping America's health and the obesity society. Diabetes Care. 2008; 31(11): 2211-2221. https://doi.org/10.2337/dc08-9024

[54]

Campbell ET, Franks AT, Joseph PV. Adolescent obesity in the past decade: a systematic review of genetics and determinants of food choice. J Am Assoc Nurse Pract. 2019; 31(6): 344-351. https://doi.org/10.1097/JXX.0000000000000154

[55]

Aceves-Martins M, Lopez-Cruz L, Garcia-Botello M, Godina-Flores NL, Gutierrez-Gomez YY, Moreno-Garcia CF. Cultural factors related to childhood and adolescent obesity in Mexico: a systematic review of qualitative studies. Obes Rev. 2022; 23(9): e13461. https://doi.org/10.1111/obr.13461

[56]

Poobalan A, Aucott L. Obesity among young adults in developing countries: a systematic overview. Curr Obes Rep. 2016; 5(1): 2-13. https://doi.org/10.1007/s13679-016-0187-x

[57]

Harvey JA, Chastin SF, Skelton DA . Prevalence of sedentary behavior in older adults: a systematic review. Int J Environ Res Public Health. 2013; 10(12): 6645-6661. https://doi.org/10.3390/ijerph10126645

[58]

Law LF, Sluka KA. How does physical activity modulate pain? Pain. 2017; 158(3): 369-370. https://doi.org/10.1097/j.pain.0000000000000792

[59]

de Bruijn RF, Schrijvers EM, de Groot KA, et al. The association between physical activity and dementia in an elderly population: the Rotterdam study. Eur J Epidemiol. 2013; 28(3): 277-283. https://doi.org/10.1007/s10654-013-9773-3

[60]

Stattin K, Michaelsson K, Larsson SC, Wolk A, Byberg L. Leisure-time physical activity and risk of fracture: a cohort study of 66,940 men and women. J Bone Min Res. 2017; 32(8): 1599-1606. https://doi.org/10.1002/jbmr.3161

[61]

Krokstad S, Langhammer A, Hveem K, et al. Cohort profile: the HUNT study, Norway. Int J Epidemiol. 2013; 42(4): 968-977. https://doi.org/10.1093/ije/dys095

[62]

Heuch I, Heuch I, Hagen K, Zwart JA. Is there a U-shaped relationship between physical activity in leisure time and risk of chronic low back pain? A follow-up in the HUNT Study. BMC Public Health. 2016; 16: 306. https://doi.org/10.1186/s12889-016-2970-8

[63]

Nauta J, Jespersen E, Verhagen E, van Mechelen W, Wedderkopp N. Upper extremity injuries in Danish children aged 6-12, mechanisms, and risk factors. Scand J Med Sci Sports. 2017; 27(1): 93-98. https://doi.org/10.1111/sms.12617

[64]

Toivanen AT, Heliovaara M, Impivaara O, et al. Obesity, physically demanding work and traumatic knee injury are major risk factors for knee osteoarthritis-a population-based study with a follow-up of 22 years. Rheumatology. 2010; 49(2): 308-314. https://doi.org/10.1093/rheumatology/kep388

[65]

Cheung J, Kajaks T, Macdermid JC. The relationship between neck pain and physical activity. Open Orthop J. 2013; 7: 521-529. https://doi.org/10.2174/1874325001307010521

[66]

Bernard SA, Chelminski PR, Ives TJ, Ranapurwala SI . Management of pain in the United States-a brief history and implications for the opioid epidemic. Health Serv Insights. 2018; 11: 1178632918819440. https://doi.org/10.1177/1178632918819440

[67]

Stracciolini A, Casciano R, Friedman HL, Meehan WP, 3rd, Micheli LJ. A closer look at overuse injuries in the pediatric athlete. Clin J Sport Med. 2015; 25(1): 30-35. https://doi.org/10.1097/JSM.0000000000000105

[68]

Lier R, Mork PJ, Holtermann A, Nilsen TI. Familial risk of chronic musculoskeletal pain and the importance of physical activity and body mass index: prospective data from the HUNT study, Norway. PLOS One. 2016; 11(4): e0153828. https://doi.org/10.1371/journal.pone.0153828

[69]

Ainsworth BE, Haskell WL, Herrmann SD, et al. 2011 compendium of physical activities: a second update of codes and MET values. Med Sci Sports Exerc. 2011; 43(8): 1575-1581. https://doi.org/10.1249/MSS.0b013e31821ece12

[70]

Mestek ML, Plaisance E, Grandjean P. The relationship between pedometer-determined and self-reported physical activity and body composition variables in college-aged men and women. J Am Coll Health. 2008; 57(1): 39-44. https://doi.org/10.3200/JACH.57.1.39-44

[71]

Dahl AG, Havang S, Hagen K. Reliability of a self-administrated musculoskeletal questionnaire: The fourth Trondelag health study. Musculoskelet Sci Pract. 2022; 57: 102496. https://doi.org/10.1016/j.msksp.2021.102496

[72]

Wu A, March L, Zheng X, et al. Global low back pain prevalence and years lived with disability from 1990 to 2017: estimates from the global burden of disease study 2017. Ann Transl Med. 2020; 8(6): 299. https://doi.org/10.21037/atm.2020.02.175

[73]

Childhood as a commodity. ending child labour. Lancet. 2023; 401(10390): 1745. https://doi.org/10.1016/S0140-6736(23)01046-2

[74]

Lo CK, Mertz D, Loeb M. Newcastle-Ottawa Scale: comparing reviewers' to authors' assessments. BMC Med Res Method. 2014; 14: 45. https://doi.org/10.1186/1471-2288-14-45

[75]

Sterne JA, Sutton AJ, Ioannidis JP, et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ. 2011; 343: d4002. https://doi.org/10.1136/bmj.d4002

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