ArticleBMC musculoskeletal disorders2022
Predictors of self-management in patients with chronic low back pain: a longitudinal study.
Article in BMC musculoskeletal disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02636777 (Predictors of Self-management in Patients With Chronic Low Back Pain), which is not on this map. Cited by 9 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Predictors of Self-management in Patients With Chronic Low Back Pain
Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Impact of education in patients undergoing physiotherapy for lower back pain: a level I systematic review and meta-analysis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025Pooled it
- Therapeutic effects of different acupuncture methods on chronic nonspecific low back pain: A network meta-analysis.Journal of orthopaedic surgery and research · 2024Pooled it
- Effects of a back school-based intervention on non-specific low back pain in adults: a randomized controlled trial.BMC complementary medicine and therapies · 2023Trial
- Psychological risk factors and resources for low back pain intensity and back health in daily life: An ecological momentary assessment study.Applied psychology. Health and well-being · 2025Article
- What does collaborative healthcare for people with musculoskeletal-related conditions look like? A scoping review.BMC musculoskeletal disorders · 2025Article
- Health professionals' use of smartphone apps for clients with low back pain: an observational study.Primary health care research & development · 2025Observational
- Self-Efficacy, Self-Management and Use of Smartphone Apps for Low-Back Pain.Pain research & management · 2025Article
- Article
- Self-management of geriatric syndromes - an observational study.BMC geriatrics · 2023Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSelf-management (SM) is a key recommended strategy for managing chronic low back pain (CLBP). However, SM programmes generate small to moderate benefits for reducing pain and disability in patients with CLBP. The benefits of the SM programme can potentially be optimised by identifying specific subgroups of patients who are the best responders. To date, no longitudinal study has examined the predictive relationships between SM and biopsychosocial factors in patients with CLBP. The aim was to determine whether biopsychosocial factors predict SM and its change over time in patients with CLBP.
methodsIn this multi-centre longitudinal cohort study, we recruited 270 working-age patients with CLBP (mean age 43.74, 61% female) who consulted outpatient physiotherapy for their CLBP. Participants completed self-reported validated measures of pain intensity, disability, physical activity, kinesiophobia, catastrophising, depression and SM at baseline and six months. SM constructs were measured using eight subscales of the Health Education Impact Questionnaire (heiQ), including Health Directed Activity (HDA), Positive and Active Engagement in Life (PAEL), Emotional Distress (ED), Self-Monitoring and Insight (SMI), Constructive Attitudes and Approaches (CAA), Skill and Technique Acquisition (STA), Social Integration and Support (SIS) and Health Service Navigation (HSN). Data were analysed using General Linear Model (GLM) regression.
resultsPhysical activity and healthcare use (positively) and disability, depression, kinesiophobia, catastrophising (negatively) predicted (p < 0.05, R
conclusionsSelf-reported disability, physical activity, depression, catastrophising and kinesiophobia predicted multiple constructs of SM measured using the heiQ subscales in working-age patients with CLBP. Knowledge of biopsychosocial predictors of SM may help triage patients with CLBP into targeted pain management programmes.
trial registrationThe study protocol was registered at ClinicalTrials.gov on 22 December 2015 (ID: NCT02636777).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.