Fig. 3

a Two-stage patient subgroups based on domain-specific patient categories identified in the activity domain. Stacked bar chart for each patient subgroup based on the conditional probabilities of each domain-specific patient category (the identified latent variables from the first stage Latent Class Analysis in the activity domain). b Two-stage patient subgroups based on domain-specific patient categories identified in the contextual factors domain. Stacked bar chart for each patient subgroup based on the conditional probabilities of each domain-specific patient category (the identified latent variables from the first stage Latent Class Analysis in the contextual factors domain). BMI = Body Mass Index. c Two-stage patient subgroups based on domain-specific patient categories identified in the pain domain. Stacked bar chart for each patient subgroup based on the conditional probabilities of each domain-specific patient category (the identified latent variables from the first stage Latent Class Analysis in the pain domain). LBP = low back pain. d Two-stage patient subgroups based on domain-specific patient categories identified in the participation domain. Stacked bar chart for each patient subgroup based on the conditional probabilities of each domain-specific patient category (the identified latent variables from the first stage Latent Class Analysis in the participation domain). e Two-stage patient subgroups based on domain-specific patient categories identified in the physical impairment domain. Stacked bar chart for each patient subgroup based on the conditional probabilities of each domain-specific patient category (the identified latent variables from the first stage Latent Class Analysis in the physical impairment domain). Flex = flexion. Ext = extension. TrP = trigger points. LBP = low back pain. AROM = active range of motion. SI = sacroiliac. f Two-stage patient subgroups based on domain-specific patient categories identified in the psychology domain. Stacked bar chart for each patient subgroup based on the conditional probabilities of each domain-specific patient category (the identified latent variables from the first stage Latent Class Analysis in the psychology domain)