2012
DOI: 10.5507/bp.2012.102
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Influence of selective comorbidity predictors on functional recovery after hip fracture in an older population

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Cited by 9 publications
(15 citation statements)
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“…For an explanation of relative variability, we used coefficient of variation (V) that was expressed as percent and calculated as the ratio between standard deviation and mean value for the observed parameter. For evaluation and quantification of variability that can be explained between different CIRS-G severity degrees and the values of physical functioning of SF-36 questionnaire for evaluated CIRS-G parameters (musculoskeletal impairment), we introduced η2 = sum of squares (between groups)/sum of squares (total) × 100, where sum of squares were gained from the one-way ANOVA test and results were presented as a percentage (%) [5]. For evaluation and quantification of variability that can be explained between different times of evaluation for the same level of CIRS-G severity musculoskeletal impairment and the values of physical functioning of SF-36 questionnaire, we introduced η2 as well.…”
Section: Discussionmentioning
confidence: 99%
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“…For an explanation of relative variability, we used coefficient of variation (V) that was expressed as percent and calculated as the ratio between standard deviation and mean value for the observed parameter. For evaluation and quantification of variability that can be explained between different CIRS-G severity degrees and the values of physical functioning of SF-36 questionnaire for evaluated CIRS-G parameters (musculoskeletal impairment), we introduced η2 = sum of squares (between groups)/sum of squares (total) × 100, where sum of squares were gained from the one-way ANOVA test and results were presented as a percentage (%) [5]. For evaluation and quantification of variability that can be explained between different times of evaluation for the same level of CIRS-G severity musculoskeletal impairment and the values of physical functioning of SF-36 questionnaire, we introduced η2 as well.…”
Section: Discussionmentioning
confidence: 99%
“…Regarding the time of examination, eligible participants that were included into the study were tested on three occasions: at admission, at discharge, and at three months post-discharge. Musculoskeletal impairments were analyzed, and for the estimation of severity degree impairment we used cumulative index rating scale for geriatrics (CIRS-G) in the range between 0-4 only at admission, where 0-refers to the condition with no impairment, 1-refers to mild, 2-refers to moderate, 3-refers to severe, and 4-refers to extremely severe impairment [5,9]. Regarding gender, we separately analyzed males and females.…”
Section: Study Groupmentioning
confidence: 99%
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“…To explain and quantify variability that can be explained between different degrees for each Item for DVSS SR and Gender or Education, we introduced η2 = Sum of squares (Between groups)/Sum of squares (Total) × 100, where sum of squares was generated from a one-way ANOVA test and results were presented as percentage (%) [ 17 ].…”
Section: Discussionmentioning
confidence: 99%
“…For the gradation of impairment severity we used Cumulative index rating scale for geriatrics (CIRS-G) in the range between 0-4, where 0- refers to the condition with no impairment, 1- refers to mild, 2- moderate, 3- severe and 4- extremely severe impairment. 5 , 6 …”
Section: Methodsmentioning
confidence: 99%