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2017; 63(4):347-354
major impact on personal relationships with friends and
relatives. On the other hand, the mean DASH score fell,
indicating a decline in shoulder disability and consequent
increase in the functioning of the affected shoulder.
A moderate correlation between DASH and the phys-
ical domain of the WHOQOL-BREF before therapy indi-
cates that functional disability of the shoulder in adhesive
capsulitis has similar effects on the physical aspect of QoL.
However, an analysis of the correlation between the instru-
ments after the blocks revealed a moderate negative cor-
relation between the DASH and the physical and psycho-
logical domains, and a weak negative correlation between
DASH and the environmental domain. This shows that
the less severe the shoulder disability, the better the QoL.
The purpose of DASH is to assess the function of the
affected region and the incapacity component of this
function. The emphasis is on the physical aspect, with a
particular focus on musculoskeletal disorders. Thus, the
most expected correlation of DASH was with the physical
domain of WHOQOL-BREF, which was in fact the high-
est (r=-0.580). It may be that the small number of questions
assessing patients’ social function was insufficient to
generate a correlation between DASH and the WHOQOL-
-BREF social domain.
Pain when adhesive capsulitis patients completed the
initial questionnaire was the only independent variable
that significantly influenced the physical domain of the
WHOQOL-BREF. As 95.3% of cases had moderate to severe
pain, this symptom could explain the low score in this
domain before treatment (45.34). Our study also revealed
that shoulder pain affected the patients’ sleep, daily ac-
tivities and ability to work. These items were part of the
list of questions in this domain and the responses given
suggested low QoL.
Multiple linear regression analysis after SSNB revealed
that better educated patients positively influenced QoL
in all domains of the WHOQOL-BREF. They also posi-
tively affected functional capacity as indicated by lower
DASH scores. Except in the social domain, older patients
positively influenced QoL on the WHOQOL-BREF and
also influenced better functioning of the affected shoul-
der as measured by DASH.
The absence in the literature of studies comparing do-
main means before and after treatment and of analyses of
TABLE 3
Results of multiple linear regression analysis of the WHOQOL-BREF domains and DASH after treatment among
adhesive capsulitis patients.
Explanatory variables
PD
β
-Standardized
Ps D
β
-Standardized
SD
β
-Standardized
ED
β
-Standardized
DASH
β
-Standardized
Constant
43.10
33.85
10.69
24.09
108.01
Pain
0.16
-------------
-------------
-------------
-------------
Ethnic group
-------------
-------------
0.43**
-------------
-------------
Age group
0.41*
0.38*
0.31
0.33*
-0.32*
Educational status
0.31*
0.47**
0.55**
0.48**
-0.34**
Gender
0.25
-------------
-------------
-------------
-------------
Marital status
-------------
-------------
-------------
-------------
-------------
Monthly income
-0.15
-0.12
-------------
0.00
-0.01
Employment
-------------
-------------
-0.28
-------------
-0.25
Side
-------------
-------------
-------------
-------------
-------------
Dominance
-------------
-------------
-------------
-------------
-------------
Classification
-------------
-------------
-------------
-------------
-------------
Sleep
-------------
0.10
-0.02
0.16
-0.11
Severity
-0.16
-------------
-------------
-------------
-------------
R2
0.40
0.29
0.51
0.31
0.42
Adjusted R2
0.25
0.21
0.41
0.23
0.33
F
2.83
3.89
5.32
4.29
4.47
Significance F
0.01
0.01
0.00
0.00
0.00
PD: physical domain; Ps D: psychological domain; SD: social domain; ED environment domain. *p<0.05; **p<0.01.
Variable coding: pain (severe=0, moderate=5, gentle=10); gender (female=0, male=1); ethnic group (white=1, non-white=2); educational status (illiterate=1, up to four years=2, five to eight ye-
ars=3, more than eight years of formal school=4); marital status (single=1, married=2, divorced=3, widowed=4); monthly income (1 to 5 minimum salaries=1, more than 5 minimum salaries=2,
without salary=3); employment (yes=1, no=2); side (right=1, left=2); dominance (right-handed=1, left-handed=2); classification (primary=1, secondary=2); sleep (affected=0, unaffected=2); seve-
rity (mild=1, moderate=2, severe=3); age group (40 |-- 50 =1, 50 |---60 = 2, 60 + = 3).
-------------: variable was not included in the model of that respective domain.