Testing a New 10-Item Scale (Pindʼs LBP Test) for Prediction of Sick Leave Lasting More Than Three Days or More Than Two Weeks After a General Practitioner Visit for Acute Low Back Pain

Pind, Robert

doi:10.1097/brs.0000000000000248

Cited by 2 publications

(2 citation statements)

References 37 publications

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“…Several studies have developed and validated decision support tools to predict future work incapacity, whether ending in SA or not, in general or related to specific diagnoses 14–18. Most of these studies were limited by low sample sizes,19 20 specific study populations,17 19 short follow-up periods17 21 or lack of information on SA diagnosis 17–19. The grounds for the selection of predictors in those prediction models have varied from using theoretical frameworks, that is, the job-demand-control model,17 mathematical modelling of survey data,14 to selection based on literature 19.…”

Section: Introductionmentioning

confidence: 99%

Predicting the duration of sickness absence spells due to back pain: a population-based study from Sweden

et al. 2019

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ObjectivesWe aimed to develop and validate a prediction model for the duration of sickness absence (SA) spells due to back pain (International Statistical Classification of Diseases and Related Health Problems 10th Revision: M54), using Swedish nationwide register microdata.MethodsInformation on all new SA spells >14 days from 1 January 2010 to 30 June 2012 and on possible predictors were obtained. The duration of SA was predicted by using piecewise constant hazard models. Nine predictors were selected for the final model based on a priori decision and log-likelihood loss. The final model was estimated in a random sample of 70% of the SA spells and later validated in the remaining 30%.ResultsOverall, 64 048 SA spells due to back pain were identified during the 2.5 years; 74% lasted ≤90 days, and 9% >365 days. The predictors included in the final model were age, sex, geographical region, employment status, multimorbidity, SA extent at the start of the spell, initiation of SA spell in primary healthcare and number of SA days and specialised outpatient healthcare visits from the preceding year. The overall c-statistic (0.547, 95% CI 0.542 to 0.552) suggested a low discriminatory capacity at the individual level. The c-statistic was 0.643 (95% CI 0.634 to 0.652) to predict >90 days spells, 0.686 (95% CI 0.676 to 0.697) to predict >180 spells and 0.753 (95% CI 0.740 to 0.766) to predict >365 days spells.ConclusionsThe model discriminates SA spells >365 days from shorter SA spells with good discriminatory accuracy.

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Section: Introductionmentioning

confidence: 99%

Predicting the duration of sickness absence spells due to back pain: a population-based study from Sweden

et al. 2019

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“… 6 9 10 Predicting problematic LBP has several promising protocols including questionnaire-based biopsychosocial screening methods 11–13 and movement patterns or maladaptive postures. 14 There are, however, few or no validated physiological or physical predictive screening tests 15 including measures of disuse or changed levels of physical conditioning. 16 …”

Section: Introductionmentioning

confidence: 99%

Does the performance of five back-associated exercises relate to the presence of low back pain? A cross-sectional observational investigation in regional Australian council workers

Gabel¹,

Mokhtarinia

Hoffman³

et al. 2018

BMJ Open

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ObjectivesInvestigate the relationships between the ability/inability to perform five physical test exercises and the presence or absence of low back pain (LBP).SettingRegional Australian council training facility.ParticipantsConsecutive participants recruited during 39 back education classes (8–26 participants per class) for workers in general office/administration, parks/gardens maintenance, roads maintenance, library, child care and management. Total sample (n=539) was reduced through non-consent and insufficient demographic data to n=422. Age 38.6±15.3 years, range 18–64 years, 67.1% male.MethodsCross-sectional, exploratory, observational investigation. LBP presence was ascertained from a three-response option questionnaire: 0=none/rarely (no) 1=sometimes (some), 2=mostly/always (most). Statistical correlation was performed with the number of the five test exercises the individual successfully performed: (1) extension in lying: 3 s; (2) ‘toilet squat’; feet flat, feet touched: 3 s; (3) full squat then stand up: 5 times; (4) supine sit-up, knees flexed: 10 times; and (5) leg extension, supine bilateral: 10 times.InterventionsNil.ResultsFor the group ‘no-some’, 94.3% completed 4–5 test exercises, while for group ‘With’, 95.7% completed 0–1 test exercises. The relationship between LBP presence and number of exercises performed was highly significant (χ2 (10)=300.61, p<0.001). Furthermore, multinomial logistic regression predicting LBP (0=no, 1=some, 2=most) from the number of exercises completed, substantially improved the model fit (initial-2LL=348.246, final-2LL=73.620, χ2 (2)=274.626, p<0.001). As the number of exercises performed increased, the odds of reporting ‘some LBP’ or ‘most LBP’ dropped substantially (ORs of 0.34 and 0.17, respectively).ConclusionThe ability to complete/not complete five test exercises correlated statistically and significantly with a higher LBP absence/presence in a general working population. Training individuals to complete such exercises could facilitate reductions in LBP incidence; however, causality cannot be inferred. Randomised trials are recommended to establish the potential efficacy of exercise-based approaches, considering these five selected exercises, for predicting and managing LBP.

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Testing a New 10-Item Scale (Pindʼs LBP Test) for Prediction of Sick Leave Lasting More Than Three Days or More Than Two Weeks After a General Practitioner Visit for Acute Low Back Pain

Abstract: N/A.

Cited by 2 publications

References 37 publications

Predicting the duration of sickness absence spells due to back pain: a population-based study from Sweden

Predicting the duration of sickness absence spells due to back pain: a population-based study from Sweden

Does the performance of five back-associated exercises relate to the presence of low back pain? A cross-sectional observational investigation in regional Australian council workers

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