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Radl, R; Leithner, A; Zacherl, M; Lackner, U; Egger, J; Windhager, R.
The influence of personality traits on the subjective outcome of operative hallux valgus correction.
Int Orthop. 2004; 28(5):303-306
Doi: 10.1007/s00264-004-0574-x
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- Führende Autor*innen der Med Uni Graz
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Radl Roman
- Co-Autor*innen der Med Uni Graz
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Egger Josef Wilhelm
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Leithner Andreas
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Windhager Reinhard
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Zacherl Maximilian
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- Abstract:
- We studied prospectively the influence of personality traits on the subjective outcome of a chevron osteotomy in 42 patients with hallux valgus. The mean age of patients was 48.3 (20-70) years. Personality traits were evaluated by the means of the Freiburg Personality Inventory (FPI-R). Three months postoperatively 37 patients were satisfied, and five patients not satisfied with the operative procedure. The preoperative AOFAS Score improved from an average of 48.7 (30-65) points to 87.9 (50-100) points. A comparison of satisfied and dissatisfied patients revealed statistically significant differences in the personality traits aggressiveness (p=0.003), extraversion (p=0.001) and health worries (p=0.04). The postoperative hallux valgus angle was 12.2+/-7.8 degrees and 13.4+/-8.3 degrees (p=0.74) among satisfied and not satisfied patients, respectively, and the intermetatarsal angle (I-II) was 7.4+/-2.5 degrees and 7.6+/-4 degrees (p=0.89), respectively. The results suggest that the patient's subjective result after the operative correction may be influenced by some individual, personality profiles.
- Find related publications in this database (using NLM MeSH Indexing)
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Adult -
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Age Factors -
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Aged -
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Female -
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Hallux Valgus - diagnosis
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Humans - diagnosis
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Male - diagnosis
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Middle Aged - diagnosis
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Osteotomy - methods
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Pain Measurement - methods
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Patient Satisfaction - statistics and numerical data
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Personality - statistics and numerical data
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Postoperative Complications - statistics and numerical data
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Prospective Studies - statistics and numerical data
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Risk Assessment - statistics and numerical data
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Sampling Studies - statistics and numerical data
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Severity of Illness Index - statistics and numerical data
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Sex Factors - statistics and numerical data