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Finnish version of the fear-avoidance-beliefs questionnaire (FABQ) and the importance of validated questionnaires on FAB in clinical praxis and in research on low-back pain
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Significance of Physical Performance Tests for Patients with Low Back Pain
No full textObjectives. Several research groups established functional tests to obtain performance data for mobility-related activities in patients with low back pain (LBP). In our study we aimed to assess the construct validity and associations with other measures of a battery of functional tests in relationship to physical performance on the one hand and physical capacity and variables of pain, disability and psychological variables on the other. Design. Eight physical performance tests of everyday activities such as climbing stairs, picking up an object from the floor, bending forward, and sitting up from supine position etc. were evaluated in 106 patients with LBP and 106 control subjects. Results. Distribution of results in each test demonstrated a marked overlap in a number of tests between those with and those without back pain. In a factor analysis we found pronounced differences in the factorial structure of the data between patients and control subjects as well in the bivariate correlations between functional test results. There was a strong relationship between self-report disability rating (FFbH-R) and physical performance tests especially in patients whereas physical capacity tests had less relationship in patients and not at all in the control subjects. Conclusion. In contrast to the past and present literature, our results suggest that physical performance tests have an inherent problem to sharply differentiate patients with back pain from healthy controls and problems with inter-rater reliability. Physical performance seems to be more a matter of patients' perception of generalized disability than of restricted function.German Ministry of Education and Science (BMBF) [FKZ: 01 EM 0113
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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