| Literature DB >> 26322232 |
Patricia Olaya-Contreras1, Jorma Styf2, Daniel Arvidsson3, Karin Frennered2, Tommy Hansson2.
Abstract
BACKGROUND: Disability due to acute low back pain (ALBP) runs parallel with distress and physical inactivity. If low back pain persists, this may lead to long-term sick leave and chronic back pain. This prospective randomized study evaluated the effect on physical activity and on the course of ALBP of two different treatment advices provided in routine care.Entities:
Year: 2015 PMID: 26322232 PMCID: PMC4551375 DOI: 10.1186/s13102-015-0013-x
Source DB: PubMed Journal: BMC Sports Sci Med Rehabil ISSN: 2052-1847
Fig. 1The patient flow chart
Fig. 2Modeled daily step count over the 7 days follow-up in patients with ALBP. Solid line represents patients advised to stay active (SA) and dashed line patients advised to adjust activity (AA) to the pain; horizontal lines are cut-offs for daily step count levels; p-values indicate statistical difference between groups of modeled values; circles indicate mean of observed step count (SA = filled, AA = open)
Linear mixed models to estimate change in step count over seven days follow-up and the effect of treatment advice (SA = Stay active versus AA = Adjust activity) on this change
| Model 1: Change trajectory | Model 2: Effect of treatment advice | |||
|---|---|---|---|---|
| Fixed effects in model | Estimate (SE) | Estimate (SE) | ||
| Day 1 (intercept) | 4434 (405) | <0.001 | 4317 (558) | <0.001 |
| +Stay active advice | - | - | 243 (812) | 0.76 |
| Day (β, linear term) | 3160 (398) | <0.001 | 2773 (545) | <0.001 |
| +Stay active advice | - | - | 824 (796) | 0.30 |
| Day2 (β, quadratic term) | −987 (161) | <0.001 | −865 (220) | <0.001 |
| +Stay active advice | - | - | −257 (321) | 0.42 |
| Day3 (β, cubic term) | 94 (18) | <0.001 | 75 (24) | 0.002 |
| +Stay active advice | - | - | 34 (36) | 0.34 |
Fixed effects in models are presented with step count as outcome
Model 1 is the estimated change trajectory without the effect of treatment advice. Model 2 includes the effect of treatment advice, where the effect of the Adjust activity is presented first followed by the added effect of the Stay active advice
A third-order polynomial function was used with a linear term (Day) describing the initial increase (positive value), a quadratic term (Day2) describing the level-off of the initial increase (negative value) and a cubic term (Day3) for the additional final increase in step count over time
Fig. 3Modeled daily pain intensity (NRS) over the 7 days follow-up in patients with ALBP. Solid line represents patients advised to stay active (SA) and dashed line patients advised to adjust activity (AA) to the pain; p-values indicate statistical difference between groups of modeled values; circles indicate mean of observed pain intensity (SA = filled, AA = open)
Linear mixed models to estimate change in pain intensity (NRS) over seven days follow-up and the effect of treatment advice (SA = Stay active versus AA = Adjust activity) on this change
| Model 1: Change trajectory | Model 2: Effect of treatment advice | |||
|---|---|---|---|---|
| Fixed effects in model | Estimate (SE) | Estimate (SE) | ||
| Day 1 (intercept) | 4.9 (0.2) | <0.001 | 4.8 (0.3) | <0.001 |
| +Stay active advice | - | - | 0.2 (0.4) | 0.67 |
| Day (β, linear term) | −0.4 (0.04) | <0.001 | −0.4 (0.06) | <0.001 |
| +Stay active advice | - | - | 0.05 (0.08) | 0.52 |
Fixed effects in models are presented with pain intensity (NRS) as outcome
Model 1 is the estimated change trajectory without the effect of treatment advice. Model 2 includes the effect of treatment advice, where the effect of the Adjust activity is presented first followed by the added effect of the Stay active advice
A first-order polynomial function was used including the linear term (Day) describing a decrease in pain intensity over time (negative values)