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Rachel Cousins
Professor Robert
Cummins
School of Psychology,
Deakin University
Introduction
The focus of my study
was on the SQOL of carers of people with mental illness. The measurement
of
SQOL has long been used to describe populations as it can provide valuable
information about
individuals satisfaction with several life domains.
The
impact of the caregiving role on Subjective Quality of Life
Whilst there are both
positives and negatives to caregiving, it is the negatives that are more
likely to
impact on SQOL. Carers of people with mental illness experience considerable
burden and distress.
In fact, the introduction of mental illness into the family has often
been described as a traumatic and
catastrophic event that gives rise to an array of emotionally painful
and disturbing feelings including
anger, guilt, anxiety, sadness and grief.
As carers cope
with difficult symptom behaviours and the relapsing and remitting nature
of mental
illness, they often find themselves in a position where the needs and
wishes of the person with mental
illness are constantly put before their own. Consequently, carers
opportunity for work may become
limited and their social and leisure activities reduced which in may lead
to social isolation.
Clearly, the caregiving
role may have a negative impact on SQOL. Therefore, I am also interested
in
examining processes that may help to maintain or improve carers
SQOL.
Personality
and Subjective Quality of Life
Research has shown
that there is a strong relationship between personality and SQOL, particularly
the
well substantiated personality characteristics, neuroticism and extroversion.
Neuroticism, which
reflects emotional instability, has been shown to negatively correlate
with SQOL. While extroversion,
which reflects sociability, has been shown to positively correlate with
SQOL. In fact, theoretically and
empirically neuroticism and extroversion have been shown to predict SQOL.
Given this strong
predictive relationship I believe it is necessary to account for the effect
of personality in any
investigation of SQOL.
Perceived
Control and Subjective Quality of Life
Another psychological
process that has been found to have a significant relationship with SQOL,
and
that is particularly relevant to carers, is perceived control. Perceived
control refers to the belief that
one has at ones disposal a response that can influence the aversiveness
of an event. This variable
seemed particularly relevant to carers, who are likely to be continually
faced with difficult or aversive
situations as they cope with the impact of mental illness in the family.
An interesting theory
of control has been developed which conceptualises two processes or strategies
for maintaining perceived control. They are, Primary Control, where the
person believes they can
change their external environment, and Secondary Control, where the person
believes they can change
their internal environment. Along with this I believe it is important
to consider, Relinquished Control,
where the person believes that change is not possible, and thus abandons
the motivation to control.
Hence, the processes
of primary, secondary and relinquished control work together to form a
perception of control that is likely to be lowered in carers as
they cope with the negative impact of the
caregiving role. Given that personality has such a strong influence on
SQOL, it is also likely that
personality will influence perceived control as the belief in the availability
of primary, secondary or
relinquished control would be dependent upon an individuals personal
style or personality.
Hypothesis
Hence, it was hypothesised
that, carers of people with mental illness will have lower SQOL and
Perceived Control than people who do not care for someone with a disability,
after the effects of
personality have been removed.
Sample
The carer sample consisted
of participants in educational courses and forums run by SFV for relatives
of people with mental illness. Of those who volunteered to participate
in the study, only those who
indicated that they were the primary carer of someone with a mental illness
were used in the
subsequent analyses, totalling 127.
The comparison sample
consisted of participants who were randomly selected from a list of individuals
who had previously participated in Deakin University research. Of those
who returned the
questionnaire (56% response rate) only those who indicated that they were
not the primary carer of
someone with a disability were used in the subsequent analyses, totalling
114.
The two samples were
comparable on a range of demographic variables with the exception of income,
where carers had a lower income than the comparison sample.
Demographic information
| |
Carer
(n=127) |
Comparison
(n=114) |
| Sex |
|
|
| Male |
31.7% |
36.0% |
| Female |
68.3% |
64.0% |
| Age |
|
|
| 20-29 |
8% |
4.4% |
| 30-39 |
5.6% |
9.6% |
| 40-49 |
26.4% |
25.4% |
| 50-59 |
44.0% |
29.8% |
| >60 |
23.2% |
30.7% |
| Income * |
|
|
| <$10,999 |
17.9% |
11.9% |
| $11,000-$25,999 |
25.6% |
22.0% |
| $26,000-$40,999 |
24.8% |
15.6% |
| $41,000-$55,999 |
9.4% |
14.7% |
| >$56,000 |
22.2% |
35.8% |
* The two groups significantly
differed on income.
Measurement Tools
Comprehensive Quality
of Life Scale, Cummins (1997)
SQOL was measured
using the subjective scale of the Comprehensive Quality of Life Scale,
developed
by Cummins (1997). This tool assesses the individuals satisfaction
with seven life domains weighted
by the importance they place on each of these domains. The seven domains
are material well-being,
health, productivity, intimacy, safety, place in community and emotional
well-being. The aggregate of
these domains provides a total SQOL score. Respondents were asked to rate
the importance they
place on each domain and how satisfied they are with each domain on an
eleven point likert scale.
Eysenck Personality
Questionnaire, Eysenck and Eysenck (1991)
Personality was measured
using the Extroversion and Neuroticism scales of the Revised Eysenck
Personality Questionnaire. Respondents were asked to provide yes/no responses
to 12 questions on
each scale.
Perceived Control
Scale
Primary and
Secondary Control Scale, Heeps (2000)
Relinquished
Control items, Thurber and Weisz (1997)
Perceived Control
was measured using the primary and secondary control scale developed by
Heeps
(2000) and relinquished control items taken from Thurber and Weisz, (1997).
There was a total of 28
items on the Perceived Control scale, 7 PC, 17 SC and 4 RC items. Respondents
were asked to rate
the extent to which they agreed with the statement on a 10 point likert
scale.
Results
Factor Analysis
for the Perceived Control Scale
To refine the reliability
and validity of the tool for the measurement of primary, secondary and
relinquished control for use in the subsequent analyses, a series of factor
analyses and other data
reduction methods were conducted on the combined sample of 241. The data
adequately met the
necessary assumptions for testing and factorability.
The results showed
that there were two distinct factors. Initially items loading less than
.3 on either
factor or greater than .3 on both factors were deleted. However, some
items had very low reliability,
so a final cut off criterion of .4 was used. The resultant solution showed
that the two factors were
independent (r= .284) and together accounted for 43.80% of the variance.
Internal consistency was
high for Factor One (a=.82) and slightly lower for Factor Two (a=.73).
The two factors were
meaningful and reflected different perceptions of control. Factor One
consisted
of 10 items, 6 Primary Control and 4 Secondary Control items. Factor Two
consisted of 5 Secondary
Control items, and it is interesting to note that before the more stringent
cutoff criterion was used
relinquished control items also loaded on this second factor. Effectively
the factor analysis suggests
that there is a distinction in the secondary control items where some
are similar to primary control and
some are similar to relinquished control. In examining the content of
the items we can see that the first
factor reflects items where the problem is being addressed in some way,
egs. I have termed this
factor Approach Control. The second factor reflects items where the problem
is being avoided, egs.
I have termed this factor Avoidant Control.
| Questionnaire
Items |
Approach
Control |
Avoidant
Control |
| |
|
|
| I
work hard to overcome it (PC) |
.81 |
|
| I
look for different ways to achieve the goal (PC) |
.79 |
|
| I
put lots of time into overcoming it (PC) |
.72 |
|
| I
work out what caused it (PC) |
.67 |
|
| I
learn the skills to overcome it (PC) |
.67 |
|
| I
make an effort to make good things happen (PC) |
.65 |
|
| I
do something vigorous to take my mind off it (SC) |
.52 |
|
| I
remember you cant always get what you want (SC) |
.47 |
|
| I
remember I am better off than many other people (SC) |
.46 |
|
| I
can see that something good will come of it (SC) |
.42 |
|
| |
|
|
| I
ignore it by thinking about other things (SC) |
|
.77 |
| I
tell myself it doesnt matter (SC) |
|
.76 |
| I
relax and dont think about it (SC) |
|
.76 |
| I
realise I didnt need to control it anyway (SC) |
|
.59 |
| I
dont feel disappointed because I knew it might happen (SC) |
|
.54 |
| |
|
|
| Correlation
between each factor |
.28 |
|
| Percent
of variance explained |
29.80 |
14.00 |
| Range
of item-total correlations |
.41-.61 |
.41-.56 |
| Cronbachs
Alpha |
.82 |
.73 |
Results
Multivariate analysis
of covariance
A multivariate analysis
of covariance was used to test the hypothesis that, once the effects of
personality have been removed, carers would show significantly lower SQOL
and Perceived Control
than the comparison sample.
Hence, the independent
variable, is group (carer or comparison), the covariate is personality
(extroversion and neuroticism) and dependent variables are total SQOL,
Approach Control and
Avoidant Control.
The data did violate
some of the assumptions for testing, suggesting findings should be interpreted
with
caution.
While the multivariate
analysis was non significant, there was an interesting trend in the univariate
analyses which showed that, once the effects of neuroticism and extroversion
had been removed, the
two groups differed significant on total SQOL. Examination of the means
showed that carers have
significantly lower total SQOL than the comparison group.
When the covariates
were taken out of the analysis the two groups differed significantly on
both total
SQOL and Approach Control.
|
|
Carer
|
Comparison
|
F(1,237)
|
Sig.
|
Eta
Squared
|
Observed
Power
|
| Total |
M
|
25.11
|
M
|
29.36
|
5.41
|
.021
|
.02
|
.64
|
| SQL |
SD
|
|
SD
|
|
|
|
|
|
|
|
1.20
|
|
1.27
|
|
|
|
|
| Approach |
M
|
6.41
|
M
|
6.69
|
2.03
|
.156
|
.01
|
.30
|
| Control |
SD
|
|
SD
|
|
|
|
|
|
|
|
.13
|
|
.14
|
|
|
|
|
| Avoidant |
M
|
3.98
|
M
|
4.17
|
.69
|
.409
|
.00
|
.13
|
| Control |
SD
|
|
SD
|
|
|
|
|
|
| |
|
.15
|
|
.16
|
|
|
|
|
Evaluated at covariates
appeared in the model: TNEURO = 4.63, TEXTRO = 6.57.
Results
Multivariate analysis
of covariance
A second multivariate
analysis of covariance was used to examine the differences between the
two
groups on each of the seven SQOL domains with the effects of personality
removed.
Here the multivariate
analysis was significant and examination of the univariate analyses revealed
that
after the effects of neuroticism and extroversion had been removed the
two groups differed
significantly on the domains health and emotional well-being. Examination
of the means showed that
carers had significantly lower satisfaction with their health and emotional
well-being than the
comparison group.
When the covariates
were taken out of the analyses the two groups differ significantly on
all of the
domains of SQOL.
|
|
Carer
|
Comparison
|
F(1,237)
|
Sig.
|
Eta
Squared
|
Observed
Power
|
| Material
Well-being |
M
|
22.66
|
M
|
26.70
|
2.89
|
.091
|
.01
|
.40
|
|
SD
|
1.56
|
SD
|
1.65
|
|
|
|
|
| Health |
M
|
22.80
|
M
|
29.66
|
4.52
|
.035
|
.02
|
.56
|
|
SD
|
2.12
|
SD
|
2.25
|
|
|
|
|
| Productivity |
M
|
24.26
|
M
|
25.18
|
.14
|
.713
|
.00
|
.07
|
|
SD
|
1.63
|
SD
|
1.73
|
|
|
|
|
| Intimacy |
M
|
32.39
|
M
|
37.56
|
3.28
|
.072
|
.01
|
.44
|
|
SD
|
1.87
|
SD
|
1.99
|
|
|
|
|
| Safety |
M
|
28.88
|
M
|
31.92
|
1.10
|
.295
|
.01
|
.18
|
|
SD
|
1.90
|
SD
|
2.02
|
|
|
|
|
| Place
In
Community |
M
|
20.79
|
M
|
21.51
|
.07
|
.796
|
.00
|
.06
|
|
SD
|
1.82
|
SD
|
1.93
|
|
|
|
|
| Emotional
Well-being |
M
|
23.50
|
M
|
30.73
|
6.58
|
.011
|
.03
|
.72
|
|
SD
|
1.85
|
SD
|
1.96
|
|
|
|
|
Evaluated at
covariates appeared in the model: TNEURO = 4.63, TEXTRO = 6.57.
Conclusion
Once the effects of
personality have been removed, carers of people with mental illness have
lower
Subjective Quality of Life than people who do not care for someone with
a disability.
In conclusion, there
is a clear trend in the data that shows that even after the effects of
personality are
removed, carers show lower total SQOL and more specifically lower satisfaction
with their health and
emotional well-being than the comparison sample. Providing some support
for the hypothesis and
indicating that the impact of the caregiving role is most prominent on
health and emotional well-being.
Highlighting two important areas that must be addressed when trying to
improve the SQOL of carers
of people with mental illness.
Once the effects of
personality have been removed, carers of people with mental
illness did not have lower Perceived Control than people who do not care
for
someone with a disability.
Unfortunately, after
the effects of personality had been removed, there were no significant
differences
between the carer and comparison samples for Perceived Control. The inability
of the analysis to
detect a difference between the samples in Avoidant Control suggests that
it is not a particularly
important control strategy and that carers perceived control is
not so low that they are resorting to
avoiding their problems. The inability of the analysis to detect a difference
between the samples on
Approach Control, a difference that is evident when the effects of personality
have not been removed,
suggests that there is a strong relationship between personality and perceived
control that needs to be
further examined.
Finally, some interesting
conclusions can be drawn from the factor analysis. Here, the relationship
between primary control and some forms of secondary control appears so
strong that the analysis was
unable to make a distinction between them, suggesting that there are important
similarities between
primary and secondary control. The fact that the secondary control items
were divided between the
two factors indicates that we must be careful about treating all types
of secondary control in the same
manner and that some types may be more useful for maintaining a perception
of control than others.
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