Evidence map›Paper›PMID 17965898›Full record

ArticleSchmerz (Berlin, Germany)2007

[AMIKA: psychometric evaluation of a photo-based scale for the assessment of fear avoidance beliefs in elderly individuals].

S Quint, J Luckmann, U Wolf, H-D Basler

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Schmerz (Berlin, Germany), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from 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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. [Interdisciplinary pain therapy in the elderly].Schmerz (Berlin, Germany) · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

S QuintFachbereich Humanmedizin, Institut für Medizinische Psychologie, Philipps-Universität Marburg, Bunsenstr. 3, 35037 Marburg. quint@med.uni-marburg.de
J Luckmann
U Wolf
H-D Basler
Philipps University of Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConfrontation therapy proved to be effective in the treatment of fear avoidance beliefs (FAB). Prior to treatment, it is necessary to establish a hierarchy of activities according to their perceived health hazards. For this purpose, we developed the AMIKA scale, which consists of 50 photos showing elderly individuals engaged in daily activities, and investigated its psychometric properties.

methodsWe conducted a cross-sectional study with repeated measurement after 4 weeks. At the time of both measurements, apart from AMIKA, we assessed pain, disability, FAB, and physical activity. Furthermore, we used ultrasound topometry for the assessment of flexion and extension of the lumbar spine. At t1, a total of 103 elderly individuals with chronic low back pain participated in the study. Their average age was 71.41 years (SD = 5.2). Of these, 67 attended the t2 assessment.

resultsRetest reliability amounted to r=0.63 and internal consistency was alpha=0.97. Correlations of the AMIKA scores with pain and disability demonstrated large effect sizes, whereas effect sizes regarding other related FAB scales remained in the medium range. No correlations at all were found with respect to the objective ultrasound measurements and to self-reported physical activity.

conclusionsThe results allow the use of AMIKA as an instrument for the generation of a FAB hierarchy in the context of confrontation treatment.

Indexed as

Avoidance LearningFearActivities of Daily LivingAgedFemaleHumansMalePhotographyPsychometricsReproducibility of Results

Identifiers

PMID17965898
OpenAlexW99587303

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.