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Published in: BMC Musculoskeletal Disorders 1/2024

Open Access 01-12-2024 | Back Pain | Research

Identifying latent subgroups in the older population seeking primary health care for a new episode of back pain – findings from the BACE-N cohort

Authors: Lise Kretz Grøndahl, Iben Axén, Silje Stensrud, Trynke Hoekstra, Ørjan Nesse Vigdal, Rikke Munk Killingmo, Kjersti Storheim, Margreth Grotle

Published in: BMC Musculoskeletal Disorders | Issue 1/2024

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Abstract

Background

Back pain is the number one condition contributing to years lived with disability worldwide, and one of the most common reasons for seeking primary care. Research on this condition in the ageing population is sparse. Further, the heterogeneity of patients with back pain complicates the management in clinical care. It is possible that subgrouping people with similar characteristics would improve management. This paper aimed to identify latent classes based on demographics, pain characteristics, psychosocial behavior, and beliefs and attitudes about back pain, among older patients seeking primary care with a new episode of back pain, and to examine if there were differences regarding the classes’ first point-of-contact.

Methods

The study was part of the international BACE (Back complaints in elders) consortium and included 435 patients aged ≥ 55 years seeking primary care (general practitioners, physiotherapists, and chiropractors) in Norway from April 2015 to March 2020. A latent class analysis was performed to identify latent classes. The classes were described in terms of baseline characteristics and first point-of-contact in primary care.

Results

Four latent classes were identified. The mean age was similar across groups, as were high expectations towards improvement. Class 1 (n = 169, 39%), the “positive” class, had more positive attitudes and beliefs, less pain catastrophizing and shorter duration of current pain episode. Class 2 (n = 31, 7%), the “fearful” class, exhibited the most fear avoidance behavior, and had higher mean pain intensity. Class 3 (n = 33, 8%), the “distressed” class, had the highest scores on depression, disability, and catastrophizing. Finally, class 4 (n = 202, 46%), the “hopeful” class, showed the highest expectations for recovery, although having high pain intensity. The identified four classes showed high internal homogeneity, sufficient between-group heterogeneity and were considered clinically meaningful. The distribution of first point-of-contact was similar across classes, except for the positive class where significantly more patients visited chiropractors compared to general practitioners and physiotherapists.

Conclusions

The identified classes may contribute to targeting clinical management of these patients. Longitudinal research on these latent classes is needed to explore whether the latent classes have prognostic value. Validation studies are needed to evaluate external validity.

Trial registration

Clinicaltrials.gov NCT04261309.
Appendix
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Literature
1.
go back to reference Briggs AM, Woolf AD, Dreinhofer K, Homb N, Hoy DG, Kopansky-Giles D, et al. Reducing the global burden of musculoskeletal conditions. Bull World Health Organ. 2018;96(5):366–8.PubMedPubMedCentralCrossRef Briggs AM, Woolf AD, Dreinhofer K, Homb N, Hoy DG, Kopansky-Giles D, et al. Reducing the global burden of musculoskeletal conditions. Bull World Health Organ. 2018;96(5):366–8.PubMedPubMedCentralCrossRef
2.
go back to reference Disease GBD, Injury I, Prevalence C. 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. 2018;392(10159):1789–858.CrossRef Disease GBD, Injury I, Prevalence C. 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. 2018;392(10159):1789–858.CrossRef
3.
go back to reference de Souza IMB, Sakaguchi TF, Yuan SLK, Matsutani LA, do Espirito-Santo AS, Pereira CAB, et al. Prevalence of low back pain in the elderly population: a systematic review. Clin (Sao Paulo). 2019;74:e789.CrossRef de Souza IMB, Sakaguchi TF, Yuan SLK, Matsutani LA, do Espirito-Santo AS, Pereira CAB, et al. Prevalence of low back pain in the elderly population: a systematic review. Clin (Sao Paulo). 2019;74:e789.CrossRef
4.
go back to reference Henschke N, Maher CG, Refshauge KM, Herbert RD, Cumming RG, Bleasel J, et al. Characteristics of patients with acute low back pain presenting to primary care in Australia. Clin J Pain. 2009;25(1):5–11.PubMedCrossRef Henschke N, Maher CG, Refshauge KM, Herbert RD, Cumming RG, Bleasel J, et al. Characteristics of patients with acute low back pain presenting to primary care in Australia. Clin J Pain. 2009;25(1):5–11.PubMedCrossRef
5.
6.
go back to reference Felicio DC, Filho JE, de Oliveira TMD, Pereira DS, Rocha VTM, Barbosa JMM, et al. Risk factors for non-specific low back pain in older people: a systematic review with meta-analysis. Arch Orthop Trauma Surg. 2022;142(12):3633–42.PubMedCrossRef Felicio DC, Filho JE, de Oliveira TMD, Pereira DS, Rocha VTM, Barbosa JMM, et al. Risk factors for non-specific low back pain in older people: a systematic review with meta-analysis. Arch Orthop Trauma Surg. 2022;142(12):3633–42.PubMedCrossRef
7.
go back to reference Dionne CE, Dunn KM, Croft PR. Does back pain prevalence really decrease with increasing age? A systematic review. Age Ageing. 2006;35(3):229–34.PubMedCrossRef Dionne CE, Dunn KM, Croft PR. Does back pain prevalence really decrease with increasing age? A systematic review. Age Ageing. 2006;35(3):229–34.PubMedCrossRef
8.
go back to reference Tamcan O, Mannion AF, Eisenring C, Horisberger B, Elfering A, Muller U. The course of chronic and recurrent low back pain in the general population. Pain. 2010;150(3):451–7.PubMedCrossRef Tamcan O, Mannion AF, Eisenring C, Horisberger B, Elfering A, Muller U. The course of chronic and recurrent low back pain in the general population. Pain. 2010;150(3):451–7.PubMedCrossRef
9.
go back to reference Ferreira ML, de Luca K. Spinal pain and its impact on older people. Best Pract Res Clin Rheumatol. 2017;31(2):192–202.PubMedCrossRef Ferreira ML, de Luca K. Spinal pain and its impact on older people. Best Pract Res Clin Rheumatol. 2017;31(2):192–202.PubMedCrossRef
10.
go back to reference Talty FT, Roberts ME, Dang C, Clewley DJ, Horn ME. Using a behavioral model to identify factors associated with choice of provider for neck and low back pain: a systematic review. Musculoskelet Sci Pract. 2020;49:102223.PubMedCrossRef Talty FT, Roberts ME, Dang C, Clewley DJ, Horn ME. Using a behavioral model to identify factors associated with choice of provider for neck and low back pain: a systematic review. Musculoskelet Sci Pract. 2020;49:102223.PubMedCrossRef
11.
go back to reference Hestbaek L, Munck A, Hartvigsen L, Jarbol DE, Sondergaard J, Kongsted A. Low back pain in primary care: a description of 1250 patients with low back pain in Danish general and chiropractic practice. Int J Family Med. 2014;2014:106102.PubMedPubMedCentralCrossRef Hestbaek L, Munck A, Hartvigsen L, Jarbol DE, Sondergaard J, Kongsted A. Low back pain in primary care: a description of 1250 patients with low back pain in Danish general and chiropractic practice. Int J Family Med. 2014;2014:106102.PubMedPubMedCentralCrossRef
12.
go back to reference Blanchette MA, Rivard M, Dionne CE, Hogg-Johnson S, Steenstra I. Workers’ characteristics associated with the type of healthcare provider first seen for occupational back pain. BMC Musculoskelet Disord. 2016;17(1):428.PubMedPubMedCentralCrossRef Blanchette MA, Rivard M, Dionne CE, Hogg-Johnson S, Steenstra I. Workers’ characteristics associated with the type of healthcare provider first seen for occupational back pain. BMC Musculoskelet Disord. 2016;17(1):428.PubMedPubMedCentralCrossRef
13.
go back to reference Macfarlane GJ, Beasley M, Jones EA, Prescott GJ, Docking R, Keeley P, et al. The prevalence and management of low back pain across adulthood: results from a population-based cross-sectional study (the MUSICIAN study). Pain. 2012;153(1):27–32.PubMedCrossRef Macfarlane GJ, Beasley M, Jones EA, Prescott GJ, Docking R, Keeley P, et al. The prevalence and management of low back pain across adulthood: results from a population-based cross-sectional study (the MUSICIAN study). Pain. 2012;153(1):27–32.PubMedCrossRef
14.
go back to reference Sibbritt D, Lauche R, Sundberg T, Peng W, Moore C, Broom A, et al. Severity of back pain may influence choice and order of practitioner consultations across conventional, allied and complementary health care: a cross-sectional study of 1851 mid-age Australian women. BMC Musculoskelet Disord. 2016;17(1):393.PubMedPubMedCentralCrossRef Sibbritt D, Lauche R, Sundberg T, Peng W, Moore C, Broom A, et al. Severity of back pain may influence choice and order of practitioner consultations across conventional, allied and complementary health care: a cross-sectional study of 1851 mid-age Australian women. BMC Musculoskelet Disord. 2016;17(1):393.PubMedPubMedCentralCrossRef
15.
go back to reference Woodhouse A, Pape K, Romundstad PR, Vasseljen O. Health care contact following a new incident neck or low back pain episode in the general population; the HUNT study. BMC Health Serv Res. 2016;16:81.PubMedPubMedCentralCrossRef Woodhouse A, Pape K, Romundstad PR, Vasseljen O. Health care contact following a new incident neck or low back pain episode in the general population; the HUNT study. BMC Health Serv Res. 2016;16:81.PubMedPubMedCentralCrossRef
16.
go back to reference Chevan J, Riddle DL. Factors associated with care seeking from physicians, physical therapists, or chiropractors by persons with spinal pain: a population-based study. J Orthop Sports Phys Ther. 2011;41(7):467–76.PubMedCrossRef Chevan J, Riddle DL. Factors associated with care seeking from physicians, physical therapists, or chiropractors by persons with spinal pain: a population-based study. J Orthop Sports Phys Ther. 2011;41(7):467–76.PubMedCrossRef
17.
go back to reference Vigdal ON, Storheim K, Munk Killingmo R, Smastuen MC, Grotle M. Characteristics of older adults with back pain associated with choice of first primary care provider: a cross-sectional analysis from the BACE-N cohort study. BMJ Open. 2021;11(9):e053229.PubMedPubMedCentralCrossRef Vigdal ON, Storheim K, Munk Killingmo R, Smastuen MC, Grotle M. Characteristics of older adults with back pain associated with choice of first primary care provider: a cross-sectional analysis from the BACE-N cohort study. BMJ Open. 2021;11(9):e053229.PubMedPubMedCentralCrossRef
18.
go back to reference Babatunde OO, Jordan JL, Van der Windt DA, Hill JC, Foster NE, Protheroe J. Effective treatment options for musculoskeletal pain in primary care: a systematic overview of current evidence. PLoS ONE. 2017;12(6):e0178621.PubMedPubMedCentralCrossRef Babatunde OO, Jordan JL, Van der Windt DA, Hill JC, Foster NE, Protheroe J. Effective treatment options for musculoskeletal pain in primary care: a systematic overview of current evidence. PLoS ONE. 2017;12(6):e0178621.PubMedPubMedCentralCrossRef
19.
go back to reference Hartvigsen J, Hancock MJ, Kongsted A, Louw Q, Ferreira ML, Genevay S, et al. What low back pain is and why we need to pay attention. Lancet. 2018;391(10137):2356–67.PubMedCrossRef Hartvigsen J, Hancock MJ, Kongsted A, Louw Q, Ferreira ML, Genevay S, et al. What low back pain is and why we need to pay attention. Lancet. 2018;391(10137):2356–67.PubMedCrossRef
20.
go back to reference Barons MJ, Griffiths FE, Parsons N, Alba A, Thorogood M, Medley GF, et al. Matching patients to an intervention for back pain: classifying patients using a latent class approach. J Eval Clin Pract. 2014;20(4):544–50.PubMedCrossRef Barons MJ, Griffiths FE, Parsons N, Alba A, Thorogood M, Medley GF, et al. Matching patients to an intervention for back pain: classifying patients using a latent class approach. J Eval Clin Pract. 2014;20(4):544–50.PubMedCrossRef
21.
go back to reference Carlesso LC, Raja Rampersaud Y, Davis AM. Clinical classes of injured workers with chronic low back pain: a latent class analysis with relationship to working status. Eur Spine J. 2018;27(1):117–24.PubMedCrossRef Carlesso LC, Raja Rampersaud Y, Davis AM. Clinical classes of injured workers with chronic low back pain: a latent class analysis with relationship to working status. Eur Spine J. 2018;27(1):117–24.PubMedCrossRef
22.
go back to reference de Luca KE, Parkinson L, Haldeman S, Byles JE, Blyth F. The relationship between spinal Pain and Comorbidity: a cross-sectional analysis of 579 Community-Dwelling, older Australian women. J Manipulative Physiol Ther. 2017;40(7):459–66.PubMedCrossRef de Luca KE, Parkinson L, Haldeman S, Byles JE, Blyth F. The relationship between spinal Pain and Comorbidity: a cross-sectional analysis of 579 Community-Dwelling, older Australian women. J Manipulative Physiol Ther. 2017;40(7):459–66.PubMedCrossRef
23.
go back to reference Murphy SL, Lyden AK, Phillips K, Clauw DJ, Williams DA. Subgroups of older adults with osteoarthritis based upon differing comorbid symptom presentations and potential underlying pain mechanisms. Arthritis Res Ther. 2011;13(4):R135.PubMedPubMedCentralCrossRef Murphy SL, Lyden AK, Phillips K, Clauw DJ, Williams DA. Subgroups of older adults with osteoarthritis based upon differing comorbid symptom presentations and potential underlying pain mechanisms. Arthritis Res Ther. 2011;13(4):R135.PubMedPubMedCentralCrossRef
24.
go back to reference Molgaard Nielsen A, Hestbaek L, Vach W, Kent P, Kongsted A. Latent class analysis derived subgroups of low back pain patients - do they have prognostic capacity? BMC Musculoskelet Disord. 2017;18(1):345.PubMedPubMedCentralCrossRef Molgaard Nielsen A, Hestbaek L, Vach W, Kent P, Kongsted A. Latent class analysis derived subgroups of low back pain patients - do they have prognostic capacity? BMC Musculoskelet Disord. 2017;18(1):345.PubMedPubMedCentralCrossRef
25.
go back to reference Rabey M, Smith A, Beales D, Slater H, O’Sullivan P. Differing psychologically derived clusters in people with chronic low back Pain are Associated with different multidimensional profiles. Clin J Pain. 2016;32(12):1015–27.PubMedCrossRef Rabey M, Smith A, Beales D, Slater H, O’Sullivan P. Differing psychologically derived clusters in people with chronic low back Pain are Associated with different multidimensional profiles. Clin J Pain. 2016;32(12):1015–27.PubMedCrossRef
26.
go back to reference Reme SE, Shaw WS, Steenstra IA, Woiszwillo MJ, Pransky G, Linton SJ. Distressed, immobilized, or lacking employer support? A sub-classification of acute work-related low back pain. J Occup Rehabil. 2012;22(4):541–52.PubMedCrossRef Reme SE, Shaw WS, Steenstra IA, Woiszwillo MJ, Pransky G, Linton SJ. Distressed, immobilized, or lacking employer support? A sub-classification of acute work-related low back pain. J Occup Rehabil. 2012;22(4):541–52.PubMedCrossRef
27.
go back to reference Hartvigsen J, Davidsen M, Hestbaek L, Sogaard K, Roos EM. Patterns of musculoskeletal pain in the population: a latent class analysis using a nationally representative interviewer-based survey of 4817 Danes. Eur J Pain. 2013;17(3):452–60.PubMedCrossRef Hartvigsen J, Davidsen M, Hestbaek L, Sogaard K, Roos EM. Patterns of musculoskeletal pain in the population: a latent class analysis using a nationally representative interviewer-based survey of 4817 Danes. Eur J Pain. 2013;17(3):452–60.PubMedCrossRef
28.
go back to reference Lacey RJ, Belcher J, Rathod T, Wilkie R, Thomas E, McBeth J. Pain at multiple body sites and health-related quality of life in older adults: results from the North Staffordshire Osteoarthritis Project. Rheumatology (Oxford). 2014;53(11):2071–9.PubMedCrossRef Lacey RJ, Belcher J, Rathod T, Wilkie R, Thomas E, McBeth J. Pain at multiple body sites and health-related quality of life in older adults: results from the North Staffordshire Osteoarthritis Project. Rheumatology (Oxford). 2014;53(11):2071–9.PubMedCrossRef
29.
go back to reference Meisingset I, Vasseljen O, Vollestad NK, Robinson HS, Woodhouse A, Engebretsen KB, et al. Novel approach towards musculoskeletal phenotypes. Eur J Pain. 2020;24(5):921–32.PubMedCrossRef Meisingset I, Vasseljen O, Vollestad NK, Robinson HS, Woodhouse A, Engebretsen KB, et al. Novel approach towards musculoskeletal phenotypes. Eur J Pain. 2020;24(5):921–32.PubMedCrossRef
30.
31.
go back to reference Lapin B, Davin S, Stilphen M, Johnson JK, Benzel E, Habboub G, et al. Stratification of spine patients based on self-reported clinical symptom classes: evaluation of long-term outcomes and subsequent interventions. N Am Spine Soc J. 2023;14:100205.PubMedPubMedCentral Lapin B, Davin S, Stilphen M, Johnson JK, Benzel E, Habboub G, et al. Stratification of spine patients based on self-reported clinical symptom classes: evaluation of long-term outcomes and subsequent interventions. N Am Spine Soc J. 2023;14:100205.PubMedPubMedCentral
32.
33.
go back to reference Costa Lda C, Maher CG, McAuley JH, Hancock MJ, Herbert RD, Refshauge KM, et al. Prognosis for patients with chronic low back pain: inception cohort study. BMJ. 2009;339:b3829.PubMedCrossRef Costa Lda C, Maher CG, McAuley JH, Hancock MJ, Herbert RD, Refshauge KM, et al. Prognosis for patients with chronic low back pain: inception cohort study. BMJ. 2009;339:b3829.PubMedCrossRef
34.
go back to reference Scheele J, Enthoven WT, Bierma-Zeinstra SM, Peul WC, van Tulder MW, Bohnen AM et al. Course and prognosis of older back pain patients in general practice: a prospective cohort study. Pain. 2013. Scheele J, Enthoven WT, Bierma-Zeinstra SM, Peul WC, van Tulder MW, Bohnen AM et al. Course and prognosis of older back pain patients in general practice: a prospective cohort study. Pain. 2013.
35.
go back to reference de Vos Andersen NB, Kent P, Hjort J, Christiansen DH. Clinical course and prognosis of musculoskeletal pain in patients referred for physiotherapy: does pain site matter? BMC Musculoskelet Disord. 2017;18(1):130.PubMedPubMedCentralCrossRef de Vos Andersen NB, Kent P, Hjort J, Christiansen DH. Clinical course and prognosis of musculoskeletal pain in patients referred for physiotherapy: does pain site matter? BMC Musculoskelet Disord. 2017;18(1):130.PubMedPubMedCentralCrossRef
36.
go back to reference Grotle M, Brox JI, Veierod MB, Glomsrod B, Lonn JH, Vollestad NK. Clinical course and prognostic factors in acute low back pain: patients consulting primary care for the first time. Spine (Phila Pa 1976). 2005;30(8):976–82.PubMedCrossRef Grotle M, Brox JI, Veierod MB, Glomsrod B, Lonn JH, Vollestad NK. Clinical course and prognostic factors in acute low back pain: patients consulting primary care for the first time. Spine (Phila Pa 1976). 2005;30(8):976–82.PubMedCrossRef
37.
go back to reference Buer N, Linton SJ. Fear-avoidance beliefs and catastrophizing: occurrence and risk factor in back pain and ADL in the general population. Pain. 2002;99(3):485–91.PubMedCrossRef Buer N, Linton SJ. Fear-avoidance beliefs and catastrophizing: occurrence and risk factor in back pain and ADL in the general population. Pain. 2002;99(3):485–91.PubMedCrossRef
38.
go back to reference Scheele J, Luijsterburg PA, Ferreira ML, Maher CG, Pereira L, Peul WC, et al. Back complaints in the elders (BACE); design of cohort studies in primary care: an international consortium. BMC Musculoskelet Disord. 2011;12:193.PubMedPubMedCentralCrossRef Scheele J, Luijsterburg PA, Ferreira ML, Maher CG, Pereira L, Peul WC, et al. Back complaints in the elders (BACE); design of cohort studies in primary care: an international consortium. BMC Musculoskelet Disord. 2011;12:193.PubMedPubMedCentralCrossRef
39.
go back to reference Wolfe F, Butler SH, Fitzcharles M, Hauser W, Katz RL, Mease PJ, et al. Revised chronic widespread pain criteria: development from and integration with fibromyalgia criteria. Scand J Pain. 2019;20(1):77–86.PubMedCrossRef Wolfe F, Butler SH, Fitzcharles M, Hauser W, Katz RL, Mease PJ, et al. Revised chronic widespread pain criteria: development from and integration with fibromyalgia criteria. Scand J Pain. 2019;20(1):77–86.PubMedCrossRef
41.
go back to reference Muthén M. Mplus Statistical Analysis With Latent Variables. Los Angeles, CA; 1998–2017. Muthén M. Mplus Statistical Analysis With Latent Variables. Los Angeles, CA; 1998–2017.
42.
43.
go back to reference Schwarz G. Estimating the dimension of a model. The Annals of Statistics. 1978;6:461–4.CrossRef Schwarz G. Estimating the dimension of a model. The Annals of Statistics. 1978;6:461–4.CrossRef
44.
go back to reference Geiser C. Data analysis with Mplus. New York: NY Guilford; 2012. Geiser C. Data analysis with Mplus. New York: NY Guilford; 2012.
45.
go back to reference Little TD, Jorgensen TD, Lang KM, Moore EW. On the joys of missing data. J Pediatr Psychol. 2014;39(2):151–62.PubMedCrossRef Little TD, Jorgensen TD, Lang KM, Moore EW. On the joys of missing data. J Pediatr Psychol. 2014;39(2):151–62.PubMedCrossRef
46.
go back to reference Jung T, Wickrama K. An introduction to latent class groowth analysis and growth mixture modelling. Social and Persinality Psychology Compass. 2008;2(1):302–17.CrossRef Jung T, Wickrama K. An introduction to latent class groowth analysis and growth mixture modelling. Social and Persinality Psychology Compass. 2008;2(1):302–17.CrossRef
47.
go back to reference Sclove S. Application of model-selection criteria to some problems in multivariate analysis. Psychometrika. 1987;52:333–43.CrossRef Sclove S. Application of model-selection criteria to some problems in multivariate analysis. Psychometrika. 1987;52:333–43.CrossRef
48.
go back to reference Lubke G, Neale MC. Distinguishing between latent classes and continuous factors: resolution by Maximum Likelihood? Multivar Behav Res. 2006;41(4):499–532.CrossRef Lubke G, Neale MC. Distinguishing between latent classes and continuous factors: resolution by Maximum Likelihood? Multivar Behav Res. 2006;41(4):499–532.CrossRef
49.
go back to reference Lewinsohn PM, Seeley JR, Roberts RE, Allen NB. Center for epidemiologic studies Depression Scale (CES-D) as a screening instrument for depression among community-residing older adults. Psychol Aging. 1997;12(2):277–87.PubMedCrossRef Lewinsohn PM, Seeley JR, Roberts RE, Allen NB. Center for epidemiologic studies Depression Scale (CES-D) as a screening instrument for depression among community-residing older adults. Psychol Aging. 1997;12(2):277–87.PubMedCrossRef
50.
go back to reference Obbarius A, Fischer F, Liegl G, Obbarius N, van Bebber J, Hofmann T, et al. A step towards a better understanding of Pain phenotypes: latent class analysis in Chronic Pain patients receiving Multimodal Inpatient Treatment. J Pain Res. 2020;13:1023–38.PubMedPubMedCentralCrossRef Obbarius A, Fischer F, Liegl G, Obbarius N, van Bebber J, Hofmann T, et al. A step towards a better understanding of Pain phenotypes: latent class analysis in Chronic Pain patients receiving Multimodal Inpatient Treatment. J Pain Res. 2020;13:1023–38.PubMedPubMedCentralCrossRef
Metadata
Title
Identifying latent subgroups in the older population seeking primary health care for a new episode of back pain – findings from the BACE-N cohort
Authors
Lise Kretz Grøndahl
Iben Axén
Silje Stensrud
Trynke Hoekstra
Ørjan Nesse Vigdal
Rikke Munk Killingmo
Kjersti Storheim
Margreth Grotle
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Musculoskeletal Disorders / Issue 1/2024
Electronic ISSN: 1471-2474
DOI
https://doi.org/10.1186/s12891-024-07163-0

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