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Factors affecting physical performance. Modified after Wormgoor and Björholt 1994. Terms from the ICF Classification (WHO 2001) are added to illustrate the multiplicity covered by the physical performance tests. Impairments are problems with body functions, e.g. muscular endurance, coordination or motivation. Activity limitations are problems such as fear avoidance behaviour.  

Factors affecting physical performance. Modified after Wormgoor and Björholt 1994. Terms from the ICF Classification (WHO 2001) are added to illustrate the multiplicity covered by the physical performance tests. Impairments are problems with body functions, e.g. muscular endurance, coordination or motivation. Activity limitations are problems such as fear avoidance behaviour.  

Context in source publication

Context 1
... most of the variance remained unexplained. Many factors influence physical performance, some listed in Figure 4. PPTs show the subject's performance ability in the relevant test on the relevant occasion. ...

Citations

... In addition, the reliability of the measurement technique is seldom mentioned. 16,19,25,26 In clinical practice, it is also important to have a clinically applicable manner of testing NME. ...
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... The natural history of non-specific low-back pain is that it is a recurrent problem, eventually during a long time span [177] affecting the ability to function in work and personal life [101]. As the word chronic might be associated with negative expectations the word long-term is preferred [84]. Low-back pain is a complex disorder where pain, anatomical, physiological, psychological and social aspects are involved. ...
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Non-specific spinal pain (NSP), comprising back and/or neck pain, is one of the leading disorders in long-term sick-listing. During 2000-2004, 125 Swedish primary-care patients with non-acute NSP, full-time sick-listed 6 weeks-2 years, were included in a randomized controlled trial to compare a cognitive-behavioural programme with traditional primary care. This prospective cohort study is a re-assessment of the data from the randomized trial with the 2 treatment groups considered as a single cohort. The aim was to investigate which baseline variables predict a stable return-to-work during a 2-year period after baseline: objective variables from function tests, socioeconomic, subjective and/or treatment variables. Stable return-to-work was a return-to-work lasting for at least 1 month from the start of follow-up. Stable return-to-work was the outcome variable, the above-mentioned factors were the predictive variables in multiple-logistic regression models, one per follow-up at 6, 12, 18 and 24 months after baseline. The factors from univariate analyzes with a p-value of at most .10 were included. The non-significant variables were excluded stepwise to yield models comprising only significant factors (p < .05). As the comparatively few cases made it risky to associate certain predictors with certain time-points, we finally considered the predictors which were represented in at least 3 follow-ups. They are presented with odds ratios (OR) and 95% confidence intervals. Three variables qualified, all of them represented in 3 follow-ups: Low total prior sick-listing (including all diagnoses) was the strongest predictor in 2 follow-ups, 18 and 24 months, OR 4.8 [1.9-12.3] and 3.8 [1.6-8.7] respectively, High self prediction (the patients' own belief in return-to-work) was the strongest at 12 months, OR 5.2 [1.5-17.5] and Young age (max 44 years) the second strongest at 18 months, OR 3.5 [1.3-9.1]. In primary-care patients with non-acute NSP, the strong predictors of stable return-to-work were 2 socioeconomic variables, Low total prior sick-listing and Young age, and 1 subjective variable, High self-prediction. Objective variables from function tests and treatment variables were non-predictors. Except for Young age, the predictors have previously been insufficiently studied, and so our study should widen knowledge within clinical practice.
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The aims of this study were to compare the aerobic fitness level of working patients who have recurrent low back pain with those of healthy age- and gender-matched controls, and to investigate the relationship of aerobic fitness level with pain intensity, general health, perceived disability, fear-avoidance beliefs and self-efficacy. A total of 57 patients with recurrent low back pain, with a mean of 10 years' pain duration and 57 healthy controls performed a sub-maximal Astrand cycle test. Predicted maximum oxygen consumption was calculated and compared. Correlations between the low back pain patients' predicted aerobic fitness level and the assessed variables were calculated. The women with low back pain had lower predicted aerobic fitness levels than the healthy women (p<0.05). For the men there was no such difference. Multiple regression analysis showed that age, gender, body mass index and self-efficacy were associated with the predicted aerobic fitness level. This study suggests no overall difference in predicted aerobic fitness level for a sample of subjects with recurrent low back pain compared with healthy controls. This is perhaps because all the patients were still at work despite the pain. The results indicate, however, that the factors associated with aerobic fitness differ between men and women.