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Impact of mood disturbance, sleep disturbance, fatigue and
pain among patients receiving cancer therapyecc_1372 70..78
K.K.F. CHENG, rn, pgdip epidemiol & biostat, phd, associate professor, Alice Lee Centre for Nursing Studies,
Yong Loo Lin School of Medicine, National University of Singapore, Singapore, & R.M.W. YEUNG, md, consult-
ant, Department of Clinical Oncology, Pamela Youde Nethersole Eastern Hospital, Hospital Authority, Hong Kong
CHENG K.K.F. & YEUNG R.M.W. (2013) European Journal of Cancer Care 22, 70–78
Impact of mood disturbance, sleep disturbance, fatigue and pain among patients receiving cancer therapy
This paper describes the prevalence of mood disturbance, sleep disturbance, fatigue and pain (MSFP), either
alone or in combination in patients receiving cancer therapy, and determines its impact and whether it is a
predictor for functional status and the impairment of quality of life (QoL). This is a cross-sectional study using
secondary data from a sample of 214 patients being treated by chemotherapy or radiotherapy. In all, 87%, 68%,
66% and 38% of the patients reported MSFP respectively. Co-occurrence of any three and all of the four
symptoms, were reported separately at rates of 29% and 31%. Patients with all four symptoms recorded
significantly lower Karnofsky Performance Scale (KPS) scores (mean 77.7 12.9) and QoL scores (mean
subscales scores 9.0–17.6) than those with none or up to any three of the symptoms (P
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symptoms can lead to a profound impairment of the
patient’s quality of life (QoL) and functional status (Grassi
et al. 1996; Cleeland 2007; Delgado-Guay et al. 2011). In
addition, cancer and treatment-related symptoms can
directly affect survival rates if they become so severe that
patients abandon their cancer treatments, or if they give
rise to delays in the cancer treatment. Residual treatment-related symptoms can also complicate post-cancer treat-
ment rehabilitation (Cleeland 2007). Snyderman and
Wynn (2009) revealed that depression adversely affects the
cancer patients’ QoL, their compliance with the cancer
treatment and their relationship with their carers and may
ultimately have an effect on mortality (Snyderman &
Wynn 2009). The effects of sleep disturbance are physical
as well as psychological, with some research suggesting
that sleep disturbance may be associated with an
increased risk of immuno-suppression, as it carries with it
the potential to affect the course of the cancer (Davidsonet al. 2002; Bardwell et al. 2008). Fatigue in cancer
patients can interfere with their self-care activities, and be
extreme enough at times to cause a postponement or
reduction of the treatment (Delgado-Guay et al. 2011).
Pain is considered to be one of the most feared symptoms
of cancer and the one that most disrupts all aspects of life
(Cleeland et al. 2000; Tavoli et al. 2008).
Recent identification of correlated and co-varied symp-
toms has revealed novel insights into the co-occurrence of
the symptoms as a cluster. More pre-clinical and observa-
tional clinical studies on the etiological processes and
related physical and psychosocial implications of such a
symptom cluster should become available in the next few
years. To date, several studies documenting the multiplic-
ity of the symptoms experienced by cancer patients have
shown that pain, fatigue, sleep disturbance, emotional
distress and poor appetite are almost universally found to
be co-occurring. More than 20 studies into symptom clus-
ters for any of the MSFP symptoms in combination have
been undertaken (Spiegel et al. 1994; Glover et al. 1995;
Gaston-Johansson et al. 1999; Miaskowski & Lee 1999;
Redeker et al. 2000; Theobald 2004; Beck et al. 2005; Mys-
takidou et al. 2007; Kozachik & Bandeen-Roche 2008;Tavoli et al. 2008; So et al. 2009; Stepanski et al. 2009;
Laird et al. 2011; Manitta et al. 2011). Pain – sleep distur-
bance – fatigue (Miaskowski & Lee 1999; Beck et al. 2005;
Mystakidou et al. 2007; Kozachik & Bandeen-Roche
2008) and pain – depression – fatigue (Spiegel et al. 1994;
Gaston-Johansson et al. 1999; So et al. 2009; Laird et al.
2011) are commonly recognised as clinical symptom clus-
ters. These studies have shed much light on the possible
existence of symptom clusters of MSFP and the possibility
of streamlining treatments. Nonetheless, most of the prior
research into MSFP has focused on any two or three symp-
toms in combination, rather than on exploring the poten-
tial interactions and interrelationships between all of the
MSFP symptoms together. In addition, only a limited
number of studies have dealt with clusters of MSFP symp-
toms in patients receiving cancer treatment as compared
with those who are receiving palliative care and are at anadvanced stage of the disease. Thus, it is becoming
increasingly critical to address the effect of MSFP on
patients’ lives in order to reduce the burden of cancer
treatment. The purpose of the present study is to deter-
mine the impact of MSFP on patients’ functional status
and QoL, and evaluate whether MSFP can be a predictor of
functional status and the impairment of QoL during
cancer therapy, after adjusting for demographic and clini-
cal factors.
M ET HODS
This cross-sectional study used secondary data from a
convenience sample of 214 patients, 18 years of age and
older, with head/neck, colorectal, breast, lung, gynaeco-
logical or other cancers receiving chemotherapy or radio-
therapy at an oncology unit of a regional hospital in Hong
Kong. The study sample was drawn from a previously
conducted observational validation study (Cheng et al.
2009). The original database consisted of 370 patients who
were undergoing cancer therapy or at the early post-
treatment stage for any diagnosed cancer. The study was
conducted in accordance with the Declaration of Helsinki;
all of the subjects provided written informed consent
before being enrolled in the study.
Mood disturbance, sleep disturbance, fatigue and pain
were measured using the respective items from the
Chinese version of the Symptom Distress Scale (SDS). The
possible score ranges from 1 to 5, with 5 indicating a high
level of symptom distress (McCorkle & Young 1978). For
this study, a symptom was considered to be present if the
SDS score was 2. The patients’ QoL was assessed using
the Chinese version of the Functional Assessment of
Cancer Therapy-General (FACT-G). The physical, social,emotional, and functional subscales and total scores were
computed as previously described. A lower score indicates
a poorer QoL (Cella et al. 1993). The Chinese versions of
both the SDS and FACT-G are accepted as being valid and
reliable psychometric tools, and to have an acceptable
cultural equivalence with the original version (Chan 2000;
Yu et al. 2000).
The observer rated Karnofsky Performance Scale (KPS)
was used to measure functional status. This is an 11-point
rating scale ranging from 0 to 100 (0 = dead, 100 = normal
Cancer therapy-related affective and somatic symptoms
© 2012 Blackwell Publishing Ltd 71
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function) widely used to assess patients’ physical func-
tional level related to cancer and its treatment (Yates et al.
1980). A validation study strongly suggests that the score
reflects the physical functioning of the patient (Mor et al.
1984).
Statistical analysis
Pearson’s simple correlation test was performed for the
correlations between the MSFP symptoms, and thus to
determine the relationships between those symptoms, the
KPS, and the FACT-G subscale/total scores. Univariable
and multivariable conditional logistic regression analyses
were performed in order to estimate the odds ratios (OR) for
the patients whoreported co-occurrence of any three symp-
toms of MSFP or all of the four symptoms. Any variables
with P-values
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FACT-G total: 84.3) (P < 0.001). As for patients with any
three of the four symptoms, post hoc comparisons with
Bonferroni corrections show that the FACT-G social,
emotional and functional subscale and total scores were
significantly lower than those without any symptoms andfor those with any one or two of the four symptoms
(P < 0.001).
The correlations between the KPS scores, the FACT-G
subscale/total scores and the MSFP showed moderate
negative correlations ( r = -0.20 to -0.57, P < 0.001)
(Table 2). Only those with r > 0.3 are reported here. In
terms of functional status, the KPS scores showed a mild
to moderate negative correlation with the four symptoms
( r = -0.28 to -0.57, P < 0.001). Correlations between the
FACT-G subscale/total scores and the symptoms of MSFP
showed moderate negative correlations of the physical
( r = -0.39 to -0.55, P < 0.001), emotional ( r = -0.24 to
-0.53, P < 0.001) and functional ( r = -0.43 to -0.52, P <
0.001) subscales and total ( r = -0.44 to -0.57, P < 0.001)
scores for the four symptoms.As shown in Table 5, regression of the KPS scores
against the symptoms of MSFP revealed that the increase
in explained variance of 25% was significant (F change =
25.3, P < 0.0001). Pain (b = -0.34, P < 0.001) and fatigue
(b = -0.26, P < 0.001) showed significant independent
effects on the KPS scores, whereas mood disturbance and
sleep disturbance were not seen as influencing the KPS
scores independently (P > 0.05).
As for the QoL, regression of the FACT-G physical sub-
scale score against the symptoms of MSFP revealed that
Table 2. Correlation coefficients among mood disturbance, sleep disturbance, fatigue and pain, and among KPS and FACT-G subscale andtotal scores ( n = 214)
Mood Sleep disturbance Fatigue Pain
Sleep disturbance 0.32*Fatigue 0.33* 0.42*
Pain 0.25* 0.26* 0.39*
KPS -0.29* -0.28* -0.48* -0.57*
QoL scoresPhysical -0.49* -0.39* -0.50* -0.55*
Social -0.27* -0.20* -0.32* -0.26*Emotion -0.53* -0.29* -0.39* -0.24*
Functional -0.48* -0.44* -0.52* -0.43*
Total -0.57* -0.44* -0.55* -0.47*
Coefficients greater than 0.30 are in bold type.*P < 0.001.FACT-G, Functional Assessment of Cancer Therapy-General; KPS, Karnofsky Performance Scale; QoL, quality of life.
Table 3. Associations between patients’ characteristics and the no. of combined mood disturbance, sleep disturbance, fatigue and pain( n = 214)
0–2 symptoms( n = 85)
3 symptoms( n = 127)
Bivariate analysis†P-value
Multivariate analysisP-valueOdds ratio (95% CI) Odds ratio (95% CI)
Age 53.81 11.4 54.52 11.7 1.01 (0.98–1.03) 0.659 – –
Gender
Male 42 (48.8%) 68 (53.1%) 1.0 (referent) 0.539 1.46 (0.66–3.20) 0.350
Female 44 (51.2%) 60 (46.9%) 1.19 (0.69–2.05)
Cancer diagnosis
Head and neck 19 (22.1%) 29 (22.7%) 1.0 (referent)
Colorectal 20 (23.3%) 25 (19.5%) 0.82 (0.36–1.87) 0.635 0.64 (0.27–1.56) 0.328
Breast 21 (24.4%) 20 (15.6%) 0.62 (0.27–1.45) 0.272 0.46 (0.16–1.37) 0.163
Lung 7 (8.1%) 27 (21.1%) 2.58 (0.92–6.96) 0.073 2.81 (1.16–6.85) 0.023*
Gynaecological 8 (9.3%) 7 (5.5%) 0.57 (0.18–1.84) 0.350 0.40 (0.10–1.53) 0.179
Others 11 (12.8%) 20 (15.6%) 1.19 (0.47–3.04) 0.714 1.14 (0.42–3.10) 0.791
Cancer therapy
Chemotherapy 53 (62.4%) 75 (60.5%) 1.0 (referent)Radiotherapy 6 (7.1%) 18 (14.5%) 2.12 (0.79–5.70) 0.136 1.68 (0.57–4.98) 0.351
Chemoradiotherapy 26 (30.6%) 31 (25.0%) 0.84 (0.45–1.58) 0.593 0.84 (0.43–1.63) 0.598
Values are mean SD or frequency (%).*P < 0.05.†Any variables with P-values 0.50 in the univariate model were tried in the multivariate model.
Cancer therapy-related affective and somatic symptoms
© 2012 Blackwell Publishing Ltd 73
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the increase in explained variance of 43% was significant
(F change = 42.1, P < 0.001). Pain (b = -0.33, P < 0.001),
mood disturbance (b = -0.29, P
a n y t h r e e M S F P .
* T h e m e a n K P S s c o r e r a n g e s 0 t o 1
0 0 ; h i g h e r s c o r e r e p r e s e n t s a b e t t e r f u n c
t i o n a l s t a t u s .
† T h e m e a n F A C T - G p h y s i c a l , s o c i a
l , a n d f u n c t i o n a l s u b s c a l e s c o r e s r a n g e 0 t o 2 8 ; h i g h e r s c o r e r e p r e s e n t s a b e t t e r
Q o L .
‡ T h e m e a n F A C T - G e m o t i o n s u b s c
a l e s c o r e r a n g e 0 t o 2 4 ; h i g h e r s c o r e r e p
r e s e n t s a b e t t e r Q o L .
§ T h e m e a n F A C T - G t o t a l s c o r e r a n
g e 0 t o 1 1 6 ; h i g h e r s c o r e r e p r e s e n t s a b e t t e r Q o L .
F A C T - G , F u n c t i o n a l A s s e s s m e n t o f C a n c e r T h e r a p y - G e n e r a l ; K P S , K a r n o f s k y P e r f o r m a n c e S c a l e ; M S F P , m o o d d i s t
u r b a n c e , s l e e p d i s t u r b a n c e , f a t i g u e a n d p a i n ; Q o L , q u a l i t y o f
l i f e .
CHENG & YEUNG
© 2012 Blackwell Publishing Ltd74
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38%, sleep disturbance 57%). One probable explanation
for the high prevalence of mood disturbance in our study
was the escalating distress associated with the debilitating
side effects or medical complications of cancer therapy.
Palesh et al. (2010) also indicated that mood disturbance
and sleep disturbance often increase during the treatment
period. The incidence of fatigue (66%) and pain (38%)
reported by patients in this study is consistent with earlier
reports of haemato-oncological patients receiving inpa-
tient and outpatient services (fatigue 69%, pain 39%)
(Manitta et al. 2011). Hickok et al. (2005) studied 372
patients undergoing radiotherapy and found that 57% of
the patients reported some degree of fatigue at the initia-
tion stage of radiotherapy, and the proportion increased to
76% by week 3 and then to 78% at week 5. The currentstudy also showed that MSFP were moderately distressing
for patients during cancer therapy. A cross-sectional study
of 263 cancer patients who were undergoing chemo-
therapy also found a moderate distress level for fatigue
(mean = 2.64) and sleep disturbance (mean = 2.08) as mea-
sured by a 5-point SDS (Redeker et al. 2000).
The present study reveals that 60% of patients receiving
cancer therapy suffered from a co-occurrence of any three
or all of the four symptoms. The high prevalence of the
co-occurrence of multiple symptoms in cancer settings
indicates areas for continued research into symptom clus-
ters and innovative treatment to target multiple symp-
toms. The results also show that patients with lung cancer
are associated with a greater risk of co-occurrence of any
three or all four of the MSFP symptoms. In a population-
based study to examine cancer symptoms and perfor-
mance outcomes, Barbera et al. (2010) also found that lung
cancer patients had the worst burden of symptoms. Nev-
ertheless, differences in the symptoms reported for cancer
subgroups require further investigation. Congruent with
other studies, the inter-correlation found in this study
between MSFP was mild to moderate (Gaston-Johansson
et al. 1999; Theobald 2004; Stepanski et al. 2009). There is
a growing volume of literature that supports its observa-
tions that MSFP occur concurrently and are interrelated.Several other recent studies have shown that depression is
also often part of a cluster of interrelated symptoms,
including pain, fatigue and sleep disturbance (Redeker
et al. 2000; Theobald 2004). It has been suggested that the
link between pain and depression are reciprocally related.
Fatigue is another symptom related to both pain and
depression in cancer patients (Spiegel et al. 1994; Glover
et al. 1995; So et al. 2009). It is notable that sleep distur-
bance in the context of cancer seldom occurs by itself
and is more commonly clustered with pain, fatigue and
Table 5. Regression coefficients of the KPS and FACT-G subscale and total scores against mood disturbance, sleep disturbance, fatigueand pain ( n = 214)
Standardised coefficients b
KPS
FACT-G (C)
Physical Social Emotional Functional Total
Age -0.11 0.05 -0.03 0.22** 0.03 0.10
GenderMale 1 (Referent) 1 (Referent) 1 (Referent) 1 (Referent) 1 (Referent) 1 (Referent)
Female 0.05 -0.03 0.19* 0.02 0.15 0.10
Cancer diagnosis
Head and neck 1 (Referent) 1 (Referent) 1 (Referent) 1 (Referent) 1 (Referent) 1 (Referent)
Colorectal -0.28† -0.26 0.14 -0.29 -0.28 -0.27
Breast -0.34* -0.23 0.01 -0.33 -0.34 -0.39
Lung 0.13* 0.29 0.16 0.11 0.13 0.20
Gynaecological -0.20 -0.38 0.06 -0.22 -0.20 -0.42
Others 0.01 -0.13 0.19 -0.01 0.01 -0.50
Cancer therapy
Chemotherapy 1 (Referent) 1 (Referent) 1 (Referent) 1 (Referent) 1 (Referent) 1 (Referent)
Radiotherapy -0.25 -0.10 -0.13 -0.22** -0.05 -0.15*
Chemoradiotherapy 0.02 -0.02 -0.01 -0.05 0.10 -0.03
Mood disturbance -0.05 -0.29† -0.11 -0.40‡ -0.26† -0.35†
Sleep disturbance -0.04 -0.12* 0.01 -0.06 -0.29† -0.14*Fatigue -0.26† -0.23† -0.20* -0.22** -0.27† -0.27†
Pain -0.34† -0.33† -0.12 0.03 -0.29† -0.19**
D R2 0.25 0.43 0.09 0.27 0.37 0.41
D F -value 25.3 42.1 4.98 22.5 34.1 44.5
P -value
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depression (Redeker et al. 2000; Theobald 2004). Stepan-
ski et al. (2009) studied the relationship between trouble
in sleeping, depressed moods, pain and fatigue in 11 445
cancer patients undergoing treatment in a large commu-
nity oncology practice, and revealed that trouble in sleep-
ing occurred in 55% of patients and was associated with
significantly increased fatigue, pain and depressed moods.The same study indicated that the effect of depressed
moods on fatigue and pain was mediated by trouble in
sleeping, and the effect of trouble in sleeping on fatigue
was mediated by pain as shown by structural equation
modelling. The relationship between pain and sleep has
often been assumed to be reciprocal – pain can lead to
disturbed sleep, and vice versa (Smith & Haythornthwaite
2004). A small body of research has accumulated which
suggests that there is a bi-directional link between depres-
sion and sleep disturbance (Ford & Kamerow 1989; Savard
& Morin 2001). In a study of patients with advancedcancer receiving palliative care, Delgado-Guay et al.
(2011) revealed that patients with sleep disturbance were
more likely to report pain (P = 0.0132), depression (P =
0.019), anxiety (P = 0.01) and a poorer sense of well-being
(P = 0.035) compared with patients who did not experience
sleep disturbance. A sample of adult patients with lung
and colon cancer revealed that 56% attributed their sleep
disturbance to experiencing pain (Savard & Morin 2001).
Several studies have established relationships between
fatigue and sleep disturbance both during cancer treat-
ment as well as after (Servaes et al. 2002; Hickok et al.
2005). Beck et al. (2005) examined the interrelationships
between symptoms of pain, fatigue and sleep disturbance,
and found that pain and sleep disturbance predicted
fatigue. In future, more empirical data are needed to deter-
mine the interrelationships and the complex patterns of
co-variation among MSFP symptoms, as well as the tra-
jectories and response shift of the symptoms over the
course of cancer therapy in order to develop a robust
causal model of the symptoms in order to improve MSFP
management strategies.
The results in this study suggest an association
between the symptoms of MSFP, functional status andQoL. Patients who had a co-occurrence of any three or all
four of the symptoms of MSFP reported the worst func-
tional status and poorest QoL. Miaskowski et al. (2006)
and Pud et al. (2008) analysed 191 and 228 adults under-
going active cancer treatment respectively, and also
found that the subgroup of patients who had high levels
of MSFP reported poor functional status and QoL. In the
current study, one-fifth to half of the variance (25–43%)
in functional status as well as physical, emotional and
functional well-being and total QoL was explained by the
symptoms of MSFP in patients receiving cancer therapy
after adjustment for gender, age, cancer diagnosis and
treatment modality. These findings are consistent with
those of Redeker et al. (2000) in whose study fatigue,
sleep disturbance, anxiety and depression together
explained 47% of the variance in QoL in patients under-
going initial chemotherapy for cancer. On the other hand,our data revealed that all four of these symptoms have
less effect on the social well-being (9% of the variance) of
patients during cancer therapy. It is notable that the vari-
ables explaining the greatest proportion of the variance
in functional status were pain and fatigue. Dodd et al.
(2001) also revealed that the symptoms of pain and
fatigue contributed most to explaining the change in
functional status for patients receiving chemotherapy.
The findings in the present study also suggest that MSFP
appear to be equally important in explaining changes in
the functional sphere of QoL for patients receiving cancertherapy. It was notable that pain and mood disturbance
had the greatest influence on physical QoL, while mood
disturbance and fatigue had the greatest influence on
emotional and total QoL. Redeker et al. (2000) studied
263 patients undergoing chemotherapy using the Profile
of Mood States. They found that depression, fatigue and
anxiety affected the patients’ QoL, and that depression
was the largest contributor. Undoubtedly, the experience
of the diagnosis and treatment of cancer for an individual
is a life episode that represents an emotional challenge.
The literature indicates that mood disturbance often
increase during the treatment period (Glajchen 1999;
Palesh et al. 2010) and should not be neglected. A previ-
ous review also indicated that the psychological burden
of the diagnosis and treatment of cancer can reach clini-
cally significant levels (Martin & Cheng 2006). Neverthe-
less, it seems possible that mood disturbance was not
merely additive in its influence on the patients’ func-
tional status and QoL. Rather, it would occur in associa-
tion with sleep disturbance, fatigue and pain as a cluster
of symptoms that reinforce each other in an interactive
manner. Lenz et al. asserted that concurrent symptoms
are likely to result in an experience that is multiplicativerather than additive (Lenz et al. 1997). More work is
needed to determine the causal nature of the relation-
ships between these symptoms in patients and to support
this theoretical proposition.
The present study provides some insights contributing
to a better understanding of the prevalence, co-occurrence
and morbidities of MSFP symptoms in patients during
cancer therapy. These symptoms are critical and should be
monitored beyond the routine assessments of nausea
and vomiting, myelo-suppression and other biomedical
CHENG & YEUNG
© 2012 Blackwell Publishing Ltd76
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toxicities during cancer therapy. Nevertheless, there were
limitations that might affect the interpretation of the
study findings. This study only described MSFP symp-
toms at a single point in time, and was subject to potential
confounders because of possible variation in the pre-
existing coping ability of the patients and the availability
of support mechanisms, as well as the presence of othersymptoms and the supportive care given to the patients. In
addition, the SDS adopted in this study to assess MSFP
symptoms is a single-item score which might not
adequately tap the multidimensional nature of symptoms
as well as thoroughly address the levels of distress caused
by these symptoms. Further studies should be directed
towards investigating the persistence, the trajectories and
the burden of multiple symptoms over the course of
cancer therapy using multi-item symptom-specific scaleswith larger sample sizes to control covariates in a more
comprehensive fashion.
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