Open AccessValidierung der Messung gesundheitsbezogener Lebensqualität mittels des Short-Form-Health-Survey-12 (SF-12 Version 2.0) in einer deutschen Normstichprobe
Author(s) -
Karin Drixler,
Matthias Morfeld,
Heide Glaesmer,
Elmar Brähler,
Markus Wirtz
Publication year - 2020
Publication title -
zeitschrift für psychosomatische medizin und psychotherapie
Language(s) - German
Resource type - Journals
SCImago Journal Rank - 0.203
H-Index - 28
eISSN - 2196-8349
pISSN - 1438-3608
DOI - 10.13109/zptm.2020.66.3.272
Subject(s) - confirmatory factor analysis , psychology , structural equation modeling , normative , biopsychosocial model , mental health , quality of life (healthcare) , clinical psychology , convergent validity , social support , life satisfaction , psychometrics , social psychology , statistics , mathematics , psychiatry , philosophy , epistemology , internal consistency , psychotherapist
Validation of the Short-Form-Health-Survey-12 (SF-12 Version 2.0) assessing health-related quality of life in a normative German sample Objectives: Convergent and divergent validation of the Short-Form-Health-Survey-12 assessing HRQoL by analyzing its associations with depressiveness (PHQ-9), social support (OSS-3) and satisfaction with life (SWLS). Methods: A normative German sample (N = 2.524) was analyzed using correlation, regression as well as confirmatory factor analysis and structural equation modelling for ordinal data. Results: The SF-12-scale Mental Health is associated most strongly with the validation criteria (PHQ: r[scales/constructs] = -.73/-.88, OSS-3: r = .35/.55, SWLS: r = .47/.62). Mental Health (β = .36) and Social Support (OSS-3; β = .25) allow to explain a significant amount of variance of the SWLS (R2 = .28). On construct level Emotional Role Functioning (β = .28) proved to be significant additionally. Conclusions: The SF-12 scales are associated with the validation criteria as expected. The SF- 12 proved to be suitable for modelling core components of HRQoL within a biopsychosocial framework aiming at predicting satisfaction with life.