000136458 001__ 136458
000136458 005__ 20250923084427.0
000136458 0247_ $$2doi$$a10.1097/j.pain.0000000000003176
000136458 0248_ $$2sideral$$a139324
000136458 037__ $$aART-2024-139324
000136458 041__ $$aeng
000136458 100__ $$aDoménech-García, Víctor
000136458 245__ $$aDoes the distribution of musculoskeletal pain shape the fate of long-term sick leave? A prospective cohort study with register follow-up
000136458 260__ $$c2024
000136458 5060_ $$aAccess copy available to the general public$$fUnrestricted
000136458 5203_ $$aAbstract
          Although multisite pain can markedly reduce work ability, the relevance of the bodily pain distribution as a predictor of long-term sick leave is still unknown. This study aimed to investigate the association between musculoskeletal pain distributions and long-term sick leave in the general working population of Denmark and included 66,177 currently employed wage earners without long-term sick leave during the prior 52 weeks. Participants reported whether they had pain in the lower extremity (hips/knees), upper extremity (neck/shoulders), or the low back. The analysis controlled for age, sex, year of survey reply, educational level, occupational group, psychosocial work factors, body max index, smoking, leisure-time physical activity, and mental health confounders. The results demonstrated that the risk of long-term sick leave increased with the number of pain sites. Compared with no pain, localized pain in any body region increased the risk/hazard by 25% to 29% (HR [95% CI]: 1.29 [1.07-1.54] for pain only in the low back), whereas pain in 2 regions increased the risk by 39% to 44% (HR [95% CI]: 1.41 [1.18-1.69] for pain in the low back + hips/knees). Workers reporting pain in all 3 regions experienced a 72% increased risk (HR [95% CI]: 1.72 [1.55-1.91]). Thus, the number of pain regions seems to matter more than the exact pain location. The spatial extension of musculoskeletal pain in workers functions as a gradient system, where pain spread throughout the body is an independent indicator of the high risk of long-term sick leave.
000136458 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000136458 590__ $$a5.5$$b2024
000136458 592__ $$a2.017$$b2024
000136458 591__ $$aANESTHESIOLOGY$$b6 / 68 = 0.088$$c2024$$dQ1$$eT1
000136458 593__ $$aAnesthesiology and Pain Medicine$$c2024$$dQ1
000136458 591__ $$aNEUROSCIENCES$$b42 / 314 = 0.134$$c2024$$dQ1$$eT1
000136458 593__ $$aPharmacology$$c2024$$dQ1
000136458 591__ $$aCLINICAL NEUROLOGY$$b29 / 285 = 0.102$$c2024$$dQ1$$eT1
000136458 593__ $$aNeurology (clinical)$$c2024$$dQ1
000136458 593__ $$aNeurology$$c2024$$dQ1
000136458 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000136458 700__ $$aSkovlund, Sebastian Venge
000136458 700__ $$aBellosta-López, Pablo
000136458 700__ $$aCalatayud, Joaquín
000136458 700__ $$0(orcid)0000-0002-7865-3429$$aLópez-Bueno, Rubén$$uUniversidad de Zaragoza
000136458 700__ $$aAndersen, Lars Louis
000136458 7102_ $$13001$$2187$$aUniversidad de Zaragoza$$bDpto. Expres.Music.Plást.Corp.$$cÁrea Didáctica Expres.Corporal
000136458 773__ $$g165, 8 (2024), 1875-1881$$pPain$$tPAIN$$x0304-3959
000136458 8564_ $$s215111$$uhttps://zaguan.unizar.es/record/136458/files/texto_completo.pdf$$yVersión publicada
000136458 8564_ $$s3402506$$uhttps://zaguan.unizar.es/record/136458/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000136458 909CO $$ooai:zaguan.unizar.es:136458$$particulos$$pdriver
000136458 951__ $$a2025-09-22-14:40:28
000136458 980__ $$aARTICLE