Evidence map›Paper›PMID 42477603›Full record

Observational studyBMC musculoskeletal disorders2026

Modifiable health-risk patterns among patients with back pain: a latent class analysis.

Mikhail Saltychev, Konsta Koivunen, Juhani Juhola

Abstract readObservational Study
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Observational study in BMC musculoskeletal disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mikhail SaltychevDepartment of Physical and Rehabilitation Medicine, Turku University Hospital, University of Turku, PO Box 52, Turku, FI-20521, Finland. mikhail.saltychev@gmail.com.
Konsta KoivunenClinical Division, Medical Faculty, University of Turku, Turku, Finland.
Juhani JuholaDepartment of Physical and Rehabilitation Medicine, Turku University Hospital, University of Turku, PO Box 52, Turku, FI-20521, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited information exists on how modifiable health risks cluster among patients with back pain. The aim of this study was to identify latent classes defined by selected modifiable-risk indicators and to describe the clinical and demographic characteristics of these classes.

methodsThis cross-sectional observational survey included consecutive patients with back pain referred to a university-hospital outpatient clinic of Physical and Rehabilitation Medicine between April 2014 and February 2017. Latent class analysis was used to identify classes based on four dichotomous modifiable-risk indicators: current smoking, excessive alcohol consumption, obesity, and physical inactivity. Demographic characteristics, pain severity, and disability were used to describe the identified classes.

resultsThe analysis included 1,379 patients; 881 (64%) were women and the mean age was 47.9 (15.0) years. A two-class solution was selected because it showed better AIC and BIC than the one-class model, while the three-class model did not converge. Entropy was modest (0.466), indicating limited individual-level classification certainty. The two classes were differentiated mainly by physical inactivity: the estimated probability of physical inactivity was 0.38 (95% CI 0.28 to 0.48) in Class 1 and 0.90 (95% CI 0.82 to 0.95) in Class 2. Smoking and excessive alcohol consumption showed smaller differences between classes, while obesity was more common in Class 2. Lower educational attainment and severe pain were associated with a higher probability of belonging to Class 2.

conclusionIn this specialized rehabilitation-clinic sample, LCA identified two modifiable-risk pattern classes that differed mainly by physical inactivity. The findings are exploratory and cross-sectional; they should not be interpreted as evidence that physical inactivity causes worse back pain or disability. Further studies are needed to examine whether similar patterns are present in primary care and community settings and whether addressing physical inactivity improves outcomes.

Indexed as

Alcohol DrinkingBack PainObesitySmokingAdultCross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleMiddle AgedRisk FactorsSedentary BehaviorAlcohol drinkingBack painHealth risk behaviorsLatent class analysisObesitySedentary behaviorSmoking

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.