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Diabetes Care, Vol 21, Issue 5 757-769, Copyright © 1998 by American Diabetes Association
Validation of a diabetes-specific quality-of-life scale for patients with type 1 diabetes
U Bott, I Muhlhauser, H Overmann and M Berger
Department of Metabolic Diseases and Nutrition, World Health Organization Collaborating Center for Diabetes, Heinrich-Heine-University, Dusseldorf, Germany. bott@uni-duesseldorf.de
OBJECTIVE: To validate a diabetes-specific quality-of-life scale and to
assess its psychometric properties in a large sample of patients with type
1 diabetes. RESEARCH DESIGN AND METHODS: To assess the quality of diabetes
care in a population-based study, a representative sample of 684 patients
with type 1 diabetes was examined. A total of 657 patients (42% female;
mean age 36 years; mean diabetes duration 18 years) completed the
diabetes-specific quality-of-life scale (DSQOLS), which comprised 64 items
on individual treatment goals (10 items), satisfaction with treatment
success (10 items), and diabetes-related distress (44 items). Statistical
examinations covered factor analysis, internal consistency of subscales,
and construct and discriminant validity. RESULTS: Factor analysis of the 44
items on diabetes-specific burdens revealed six reliable components
(Cronbach's alpha): social relations (0.88), physical complaints (0.84),
worries about future (0.84), leisure time flexibility (0.85), diet
restrictions (0.71), and daily hassles (0.70). All six subscales were
significantly correlated with a validated well-being scale (r = -0.35 to
-0.53, P < 0.001) and treatment satisfaction (r = 0.28 to 0.43, P <
0.001). Physical complaints (r = 0.24) and worries about future (r = 0.17)
showed the highest correlations with HbA1c (P < 0.001). A flexible
insulin therapy, a liberalized diet, the absence of late complications, and
a higher social status were significantly associated with more favorable
scores in different domains. CONCLUSIONS: The DSQOLS is a reliable and
valid measure of diabetes-specific quality of life. The scale is able to
distinguish between patients with different treatment and dietary regimens
and to detect social inequities. Use of the DSQOLS for assessment of
individual treatment goals as defined by the patients may be helpful to
identify motivational deficits and to tailor individual treatment
strategies.

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Copyright © 1998 by the American Diabetes Association.
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