Background
The prevalence of insomnia among persons with cancer is higher than in the general population (up to 50% versus 4-22%) [
1‐
3]; its prevalence among patients with advanced cancer admitted to Palliative Care Units (PCUs) has been estimated as being between 45% and 95% [
4,
5]. Nevertheless, insomnia has received little attention from the oncology community compared with other symptoms such as pain and fatigue [
6].
Insomnia is defined as the subjective perception of difficulty with sleep initiation, duration, consolidation, or quality that occurs despite adequate opportunity for sleep and results in some form of daytime impairment [
7]. Insomnia is strongly correlated with patient satisfaction and with quality of life in cancer [
6,
8]. It brings patients discomfort and suffering, and has physical and psychological consequences such as increase of fatigue, pain intolerance, irritability and depressive mood [
6,
9]. However, patients tend to underreport insomnia [
10], and the routine clinical assessment of insomnia is often suboptimal.
The primary goal of the treatment of insomnia should be first to relieve any underlying disorder that may be causing the sleep disturbance. As a variety of factors may influence insomnia in hospitalised patients suffering from advanced cancer, a multimodal treatment, including both pharmacologic and non-pharmacologic therapies, should be considered. A plan combining attention to sleep hygiene and cognitive-behavioral therapy with prescription of hypnotic medications may help to relieve insomnia in cancer patients and improve their quality of life [
6].
In the literature, a variety of factors that may influence sleep quality among palliative care patients have been mentioned. The factors associated with insomnia most commonly cited are pain and psychological symptoms. Uncontrolled pain, pain treatment and “interference of pain with mood” have been suggested as being associated with insomnia [
11‐
13], as well as low or variable moods, dreams, concerns, hopelessness, post-traumatic experience, anxiety and depression [
4,
11,
13‐
16]. Anxiety has been associated with difficulties in falling asleep, with less restoring sleep and with nightmares, while depression has been associated with early awaking, non-restorative sleep, fatigue, nightmares and insomnia according to the Pittsburgh Sleep Quality Index [
5,
15]. However, only a few studies have used specific and validated tools for the assessment of psychological symptoms in relation to insomnia [
5,
11].
Other factors which could influence insomnia in cancer population are age, performance status and certain pharmacological treatments [
11,
14]. Female gender and non-white race, as well as excessive consumption of coffee and/or alcohol, or certain physical problems like chronic kidney disease may also increase the risk of incident insomnia in the general population [
17]. Empirical evidence suggests that biological factors such as cytokines [
18,
19], genetic and metabolic disorders [
20] and cortisol awaking response [
19,
21] can contribute to the disruption of the sleep cycle.
Environmental factors, and especially those in PCUs as for example interruptions during the night by the nursing staff, noise coming from the ward or from another patient in the same room, or even having a room for individual use, could influence the sleep quality of the patients during admission. However, most studies evaluating the factors associated with insomnia have not taken environmental factors into account.
Patients are admitted to PCUs for rapid symptom control and intensive psychosocial care, normally for relatively short periods. The length of stay may vary from two days to more than two weeks [
22,
23]. Disturbing symptoms are evaluated daily by professionals in PCUs, as their intensity and characteristics can change from one day to the next. Evaluating the presence of insomnia specifically during admission to PCU, instead of evaluating persistent or chronic insomnia, may help professionals to adapt the management of insomnia, taking the changing situation of symptoms, possible acute disease and type of unit into account. Studies evaluating the prevalence of insomnia in this population have often used instruments which refer to the preceding 15 days or four weeks or which take relatively long to respond to, making their use more difficult and less specific for the evaluation of insomnia during admission in PCUs [
24]. Other studies have used a single question [
12,
25].
The aims of the present study were: 1) to evaluate the frequency of insomnia during hospitalisation among the patients admitted to a PCU by asking a single question and by using an assessment tool that fits the characteristics of this population (the 3-item questionnaire Sleep Disturbance Scale) and 2) to study the association between insomnia and emotional distress, considering both anxiety and depression and using a validated tool, and taking also physical, environmental and other psychological factors into account.
Results
One hundred and seventy-six patients were consecutively admitted to the PCU during the eight-month period. Sixty-one patients (34.7%) fulfilled the inclusion criteria. Thirty-four of them were men and 27 women, and their mean age was 71.5 ± 11 years. The majority of included patients suffered from cancer (95.1%), with a high prevalence of metastatic cancer.
Ninety-five patients (54.0%) could not be included because either they did not give informed consent (n = 2) or they did not fulfil the inclusion criteria because they were too cognitively impaired (n = 34), had a Karnofsky Index < 30 (n = 44), spent less than two nights at the PCU (n = 8), or had a Karnofsky Index < 30 and spent less than two nights at the PCU (n = 7).
Twenty admitted patients (11.4%) were not assessed for inclusion either because they died (n = 5), or were discharged (n = 15) before assessment.
Table
1 shows the characteristics of the patients who were included, those who were excluded and those who were not assessed. Excluded and not assessed patients did not differ significantly from included patients in terms of age, gender, main diagnosis and stage of the disease. However, significantly more patients in the groups of excluded (p < 0.001) and not assessed (p = 0.024) patients died during admission in the PCU than in the group of included patients.
Table 1
Sociodemographic and clinical characteristics of the patients
| n (%) | n (%) | n (%) |
Sex (man) | 34 (55.7) | 54 (56.8) | 12 (60.0) |
Mean age ± SD, years | 71.5 ± 11 | 73.3 ± 13.23 | 72.4 ± 10.90 |
Mean Pfeiffer Index ± SD (range 0-10)a
| 1.3 ± 1.08 | not available | not available |
Karnofsky Index (range 0-100)b
| | | |
≤ 50 | 45 (73.8) | not available | not available |
> 50 | 16 (26.2) | not available | not available |
Main diagnosis | | | |
Oncological | 58 (95.1) | 84 (88.4) | 18 (90.0) |
Non-oncological | 3 (4.9) | 11 (11.6) | 2 (10.0) |
Cancer site | | | |
Lung | 13 (21.3) | 20 (21.1) | 4 (20.0) |
Colon | 10 (16.4) | 7 (7.4) | 3 (15.0) |
Gynaecological (not breast) | 7 (11.5) | 5 (5.3) | 1 (5.0) |
Urinary tract | 6 (9.8) | 6 (6.3) | 2 (10.0) |
Breast | 4 (6.6) | 2 (2.1) | 2 (10.0) |
Liver | 3 (4.9) | 8 (8.4) | 2 (10.0) |
Stomach | 4 (6.6) | 5 (5.3) | 1 (5.0) |
Other | 9 (14.7) | 27 (28.4) | 3 (15.0) |
Unknown | 2 (3.3) | 4 (4.2) | 0 (0.0) |
Not-applicable | 3 (4.9) | 11 (11.6) | 2 (10.0) |
Stage | | | |
Local/loco-regional disease | 16 (26.2) | 20 (21.1) | 7 (35.0) |
Metastasic | 42 (68.9) | 64 (67.4) | 11 (55.0) |
Not-applicable | 3 (4.9) | 11 (11.6) | 2 (10.0) |
Preceding location | | | |
Home | 24 (39.3) | 25 (26.3) | 2 (10.0) |
Hospital | 37 (60.7) | 70 (73.7) | 18 (90.0) |
Death during hospitalisation | 28 (45.9) | 87 (91.6) | 15 (75.0) |
Frequency of insomnia and other aspects in relation with insomnia
Results on the frequency of insomnia and other aspects in relation with insomnia are displayed in Table
2. Thirty-eight of the included patients (62.3%) answered “yes” to the insomnia single question, 13 patients (21.3%) answered “occasionally” and 10 patients (16.4%) answered “no”. Twenty-nine patients (47.5%) showed moderate to severe insomnia according to the SDS. The sleep item of the SDS that scored the highest was “waking up during the night”. Patients answering “yes” to the insomnia single question displayed significantly more frequently moderate to severe insomnia according to SDS in comparison to patients answering “occasionally” or “no” (78.9% vs 34.8%; p = 0.001).
Table 2
Frequency of insomnia and other aspects in relation with insomnia (n = 61)
Single question
|
Have you been suffering from insomnia since your admission? |
n (%)
|
No | 10 (16.4) |
Occasionally | 13 (21.3) |
Yes | 38 (62.3) |
Sleep disturbance scale
|
During the time you have been hospitalised have you suffered from…? |
n (%)
|
Difficulty in falling asleepa (mean ± SD) | 4.5 ± 2.67 |
<5 | 28 (45.9) |
≥5 | 33 (54.1) |
Waking up during the nighta (mean ± SD) | 4.9 ± 2.31 |
<5 | 23 (37.7) |
≥5 | 38 (62.3) |
Waking up too early in the morninga (mean ± SD) | 4.0 ± 2.65 |
<5 | 30 (49.2) |
≥5 | 31 (50.8) |
Overall sleep disturbance scale score (range 0-10)
b
(mean ± SD)
| 4.5 ± 1.96 |
<5 | 32 (52.5) |
≥5 | 29 (47.5) |
Prevalence of additional aspects related to insomnia
|
n (%)
|
Daytime sleepiness | 45 (73.8) |
Feeling of non-restorative sleep | 32 (52.5) |
Twenty-one patients (34.4%) reported < 5 hours sleep per night. Insomnia had often started together with the current disease (44.3%), and less frequently since admission to the PCU (11.5%) (results not shown in the table). Seventy percent of the patients were moderately worried about insomnia (information not shown in the table). Feeling of non-restorative sleep and daytime sleepiness were frequent (52.5% and 73.8% of the participants respectively).
Frequency of emotional distress and other potentially associated factors
Results on the frequency of emotional distress and other factors potentially associated with insomnia are displayed in Table
3. The mean HADS score was 21.6 ± 7.66. Thirty-nine participants (63.9%) showed clinically significant emotional distress, 38 (62.3%) depressed mood and 33 (54.1%) anxiety. Nocturnal rumination and feelings of fear or loneliness were frequent. Pain was the most frequently claimed physical symptom interfering with sleep quality, followed by dyspnoea and cough. Most patients reported at least one environmental factor interfering with the quality of their sleep.
Table 3
Frequency of factors potentially associated with insomnia (n = 61)
Psychological factors
|
HADS score (range 0-42)a (mean ± SD) | 21.6 ± 7.66 |
Clinically significant emotional distressb
| 39 (63.9) |
Depressed moodc
| 38 (62.3) |
Anxietyd
| 33 (54.1) |
Nightmares | 16 (26.2) |
Rumination | 48 (78.7) |
Feelings of fear/loneliness | 30 (49.2) |
Clear knowledge diagnosis | 39 (63.9) |
Clear knowledge prognosis | 12 (19.7) |
Physical symptoms claimed to be interfering with sleep quality
|
Pain | 42 (68.9) |
Dyspnoea | 22 (36.1) |
Cough | 18 (29.5) |
Nausea/vomiting | 15 (24.6) |
Sweating | 13 (21.3) |
Nycturia | 11 (18.0) |
Functional incontinence | 8 (13.1) |
Itch | 7 (11.5) |
Restless-legs | 5 (8.2) |
Drug/tobacco abstinence | 5 (8.2) |
Fever | 1 (1.6) |
Environmental factors
|
Reported environmental factor influencing sleep quality | 47 (77.0) |
Individual room | 28 (29.5) |
Sleep habits not accomplished | 19 (31.1) |
Accompanied by a next of kin during night | 15 (24.6) |
Patients’ perspective on the group of factors that interfered most
When asked which group of factors interfered most with sleep quality, most patients (68.9%) mentioned the physical group; the environmental and psychological factors were mentioned less (11.5% and 9.8% respectively).
Factors associated with insomnia
Table
4 shows the results of the univariate analysis for associations between the studied variables and insomnia or moderate to severe insomnia according to the single question and the SDS respectively. A higher HADS score and anxiety, but not clinically significant emotional distress or depression, were significantly associated with answering “yes” to the single insomnia question. Neither a higher HADS score, nor clinically significant emotional distress, anxiety or depressed mood were associated with moderate to severe insomnia measured by the SDS.
Table 4
Relationship between studied variables and insomnia according to the single question and the SDS (n = 61)
Socio-demographic/clinical characteristics
|
|
Mean age ± SD, years
| 74.3 ± 9.73 | 69.8 ± 11.49 |
0.072
| 73.2 ± 9.95 | 69.6 ± 11.96 |
0.289
|
|
Sex
| | |
0.33
| | |
0.102
|
| | Women | 12 (44.4) | 15 (55.6) | | 11 (40.7) | 16 (59.3) | |
| | Men | 11 (32.4) | 23 (67.6) | | 21 (61.8) | 13 (38.2) | |
|
Karnofsky index
| | |
0.003
a
| | |
0.048
|
| | > 50 | 1 (6.3) | 15 (93.8) | | 27 (60.0) | 18 (40.0) | |
| | ≤ 50 | 22 (48.9) | 23 (51.1) | | 5 (31.3) | 11 (68.8) | |
|
Procedence
| | |
0.11
| | |
0.060
|
| | Home | 12 (50.0) | 12 (50.0) | | 9 (37.5) | 15 (62.5) | |
| | Acute care | 11 (29.7) | 26 (70.3) | | 23 (62.2) | 14 (37.8) | |
|
Death during hospitalisation
| | |
0.768
| | |
0.088
|
| | No | 13 (39.4) | 20 (60.6) | | 18 (64.3) | 10 (35.7) | |
| | Yes | 10 (35.7) | 18 (64.3) | | 14 (42.4) | 19 (57.6) | |
|
Cancer site
b
| | |
0.056
| | |
0.534
|
| | Lung | 2 (15.4) | 11 (84.6) | | 8 (61.5) | 5 (38.5) | |
| | Other | 21 (46.6) | 24 (53.3) | | 22 (48.9) | 23 (51.1) | |
| | Non-applicable | 0 (0.0) | 3 (100.0) | | 2 (66.7) | 1 (33.3) | |
|
Stage
b
| | |
0.239
| | |
0.888
|
| | Local or loco-regional disease | 9 (56.3) | 8 (43.8) | | 9 (56.2) | 7 (43.5) | |
| | Metastasic | 14 (33.3) | 28 (66.7) | | 21 (50.0) | 21 (50.0) | |
| | Non-applicable | 0 (0.0) | 3 (100.0) | | 2 (66.7) | 1 (33.3) | |
Psychological factors
|
|
HADS (range 0-42) (mean ± SD) | 18.2 ± 7.64 | 23.7 ± 6.98 |
0.012
| 20.3 ± 7.79 | 23.1 ± 7.44 |
0.158
|
|
HADS ≥ 19
c
| | |
0.137
| | |
0.806
|
| | No | 11 (50.0) | 11 (50.0) | | 12 (54.5) | 10 (45.5) | |
| | Yes | 12 (30.8) | 27 (69.2) | | 20 (51.3) | 19 (48.7) | |
|
HADD ≥ 11
d
| | |
0.204
| | |
0.306
|
| | No | 11 (47.8) | 12 (52.2) | | 14 (60.9) | 9 (39.1) | |
| | Yes | 12 (31.6) | 26 (68.4) | | 18 (47.4) | 20 (52.6) | |
|
HADA ≥ 11
e
| | |
0.019
| | |
0.234
|
| | No | 15 (53.6) | 13 (46.4) | | 17 (60.7) | 11 (39.3) | |
| | Yes | 8 (24.2) | 25 (75.7) | | 15 (45.4) | 18 (54.5) | |
|
Nightmares
| | |
0.535
| | |
0.163
|
| | No | 18 (40.0) | 27 (60.0) | | 26 (57.8) | 19 (42.2) | |
| | Yes | 5 (31.3) | 11 (68.8) | | 6 (37.5) | 10 (62.5) | |
|
Rumination
| | |
0.012
a
| | |
0.009
a
|
| | No | 9 (69.2) | 4 (30.8) | | 11 (86.4) | 2 (15.4) | |
| | Yes | 14 (29.2) | 34 (70.8) | | 21 (43.8) | 27 (56.3) | |
|
Feelings of fear/loneliness
| | |
0.222
| | |
0.055
|
| | No | 14 (45.2) | 17 (54.8) | | 20 (64.5) | 11 (35.5) | |
| | Yes | 9 (30.0) | 21 (70.0) | | 12 (40.0) | 18 (60.0) | |
|
Clear knowledge of diagnosis
| | |
0.042
| | |
0.065
|
| | No | 12 (54.5) | 10 (45.5) | | 17 (43.6) | 22 (56.4) | |
| | Yes | 11 (28.2) | 28 (71.8) | | 15 (68.2) | 7 (31.8) | |
|
Clear knowledge of prognosis
| | |
0.751
| | |
0.404
|
| | No | 18 (36.7) | 31 (63.3) | | 5 (41.7) | 7 (58.3) | |
| | Yes | 5 (41.7) | 7 (58.3) | | 27 (55.1) | 22 (44.9) | |
Physical factors
f
|
|
Pain
| | |
0.633
| | |
0.986
|
| | No | 8 (42.1) | 11 (57.9) | | 10 (52.6) | 9 (47.4) | |
| | Yes | 15 (35.7) | 27 (64.3) | | 22 (52.4) | 20 (47.6) | |
|
Dyspnoea
| | |
0.018
a
| | |
0.436
|
| | No | 19 (48.7) | 20 (51.3) | | 19 (58.7) | 20 (51.3) | |
| | Yes | 4 (18.2) | 18 (81.8) | | 13 (59.1) | 9 (40.9) | |
|
Cough
| | |
0.649
| | |
0.381
|
| | No | 17 (39.5) | 26 (60.5) | | 21 (48.8) | 22 (51.2) | |
| | Yes | 6 (33.3) | 12 (66.7) | | 11 (61.1) | 7 (38.9) | |
|
Nausea/vomiting
| | |
0.150
| | |
0.501
|
| | No | 15 (32.6) | 31 (67.4) | | 23 (50.0) | 23 (50.0) | |
| | Yes | 8 (53.3) | 7 (46.7) | | 9 (60.0) | 6 (40.0) | |
|
Sweating
| | |
0.530
| | |
0.910
|
| | No | 17 (35.4) | 31 (64.6) | | 25 (52.1) | 23 (47.9) | |
| | Yes | 6 (46.2) | 7 (53.8) | | 7 (53.8) | 6 (46.2) | |
|
Nycturia
| | |
1.000
| | |
0.412
|
| | No | 19 (38.0) | 31 (62.0) | | 25 (50.0) | 25 (50.0) | |
| | Yes | 4 (36.0) | 7 (63.6) | | 7 (63.6) | 4 (36.4) | |
Environmental factors
|
|
Environmental disturbances
| | |
0.650
| | |
0.026
|
| | No | 6 (42.9) | 8 (57.1) | | 11 (78.6) | 3 (21.4) | |
| | Yes | 17 (36.2) | 30 (63.8) | | 21 (44.7) | 26 (55.3) | |
|
Individual room
| | |
0.301
| | |
0.754
|
| | No | 18 (41.9) | 25 (58.1) | | 22 (51.2) | 21 (48.8) | |
| | Yes | 5 (27.8) | 13 (72.2) | | 10 (55.6) | 8 (44.4) | |
|
Accompanied by next of kin during night
| | |
0.310
| | |
0.204
|
| | No | 19 (41.3) | 27 (58.7) | | 22 (47.8) | 24 (52.2) | |
| | Yes | 4 (26.7) | 11 (73.3) | | 10 (66.7) | 5 (33.3) | |
|
Sleeping habits not accomplished
| | |
0.217
| | |
0.276
|
| | No | 18 (42.9) | 24 (57.1) | | 24 (57.1) | 18 (42.9) | |
| | Yes | 5 (26.3) | 14 (73.7) | | 8 (42.1) | 11 (57.9) | |
Additional aspects related to insomnia
|
|
Daytime sleepiness
| | |
0.237
| | |
0.010
a
|
| | No | 8 (50.0) | 8 (50.0) | | 4 (25.0) | 12 (75.0) | |
| | Yes | 15 (33.3) | 30 (66.7) | | 28 (62.2) | 17 (37.8) | |
|
Feeling of non-restorative sleep
| | |
0.007
| | |
0.913
|
| | No | 16 (55.2) | 13 (44.8) | | 15 (51.7) | 14 (48.3) | |
| | Yes | 7 (21.9) | 25 (78.1) | | 17 (53.1) | 15 (46.9) | |
In the multivariate regression analysis, insomnia according to the single question remained associated with dyspnoea (OR 7.2 [1.65-31.27] p = 0.009), nocturnal rumination (OR 5.5 [1.05-28.49] p = 0.04) and higher performance status (OR 14.3 [1.62-125.43] p = 0.017). Moderate to severe insomnia according to the SDS was associated with nocturnal rumination (OR 5.6 [1.1-29.1]; p = 0.041), and inversely associated with daytime sleepiness (OR 0.25 [0.07-0.9]; p = 0.043).
Discussion
The frequency of insomnia among the patients admitted to the Palliative Care Unit (PCU) was considerably high both when measured with the single question (62.3%) and with the Sleep Disturbance Scale (SDS) (47.5% moderate to severe insomnia). Results of the two instruments correlated significantly with each other. These results are comparable to those on insomnia prevalence existing in the literature. Studies using the Pittsburg Sleep Quality Index (PSQI) found prevalences of 73% to 96% of “poor sleepers” using different cut-off scores [
5,
11]. Other studies showed prevalences of 72% and 45% using a constructed questionnaire and one item of the major depressive episode module of the Structured Clinical Interview for DSM-IIIR (SCID), respectively [
4,
25]. A prevalence of 70% was found in another study by asking the single question “Do you have trouble sleeping at night?” [
12].
The single question “Have you been suffering from insomnia since your admission?” might be a sensitive method for detecting insomnia. However, the use of a single question has been considered as insufficient for the evaluation of insomnia in cancer patients, as it may have poor sensitivity and specificity for detecting insomnia [
32]. In the present study, patients with higher HADS score, more anxiety, clear knowledge of the diagnosis, better performance status, nocturnal rumination, “dyspnoea” as a symptom interfering with sleep quality, and a feeling of non-restorative sleep answered more often “yes” to this single question in the univariate analysis.
The SDS assesses the presence of moderate to severe insomnia, is easy and quick to administrate, refers to a short recent period, and gives information about the three sleep items: falling asleep, waking up during the night and early waking. The use of a Likert scoring system allows participants to respond in a degree of agreement accommodating neutral or undecided feelings, and without requiring them to provide a simple and concrete yes or no answer [
33]. Therefore, the assessment of insomnia of patients during admission in a PCU using SDS may have some advantages over the insomnia single question and other tools which take longer to respond to and refer to a longer preceding period of time. In the present study, patients with better performance status, nocturnal rumination, patients referring environmental disturbances and daytime sleepiness showed more moderate to severe insomnia in the univariate analysis.
The most affected sleep item was sleep maintenance, followed by difficulties in falling asleep and early waking, coinciding with data from other studies on patients with cancer [
9,
14].
Clinically significant emotional distress was frequent in this study. A higher HADS score and the presence of anxiety were associated with answering “yes” to the insomnia single question in the univariate analysis, but this association was not found in the multivariate analysis, and no association was found with clinically significant emotional distress. Moderate to severe insomnia measured with the SDS was not associated with clinically significant emotional distress, higher HADS score, anxiety or depression. These results contrast with those in previous studies reporting on a correlation between insomnia and anxiety and/or depression measured with an analogue visual scale as part of the Edmonton Symptom Assessment System [
34] in palliative patients [
13,
16], or with a recent study reporting on a correlation between insomnia severity and depression measured using a non-validated tool [
35]. Another recent study found a significant correlation between emotional distress measured with the HADS and insomnia measured with Athens Sleep Insomnia Scale [
36] among patients with lung cancer [
37].
Nevertheless, in the present study the psychological symptom nocturnal rumination did show a significant association with insomnia assessed with both instruments. In the unwanted mental activity at bedtime, rumination is a dysfunctional control strategy used by poor sleepers, which maintains cognitive and affective arousal instead of helping them to relax [
3,
38]. The association between rumination and insomnia is consistent throughout the literature [
3,
12,
14,
31,
38,
39]. Rumination has been associated with an increased and prolonged emotional distress (i.e. depression and anxiety) and with physical health problems in palliative care patients [
40] and in the general population [
38,
41,
42]. However, some recent studies have suggested that rumination may contribute to clinical insomnia, irrespective of worry and depressed mood states [
39,
43,
44].
Different ways of assessing rumination have been proposed in the literature [
31,
41,
43,
45], but only few have been used in palliative care patients [
30,
40]. In the present study, rumination was evaluated by means of a simple question based on a definition obtained from the literature [
30,
31]. Several methods for managing rumination have been also developed, and it has been proposed that its treatment may be imperative for a successful management of insomnia and depression [
31,
45]. Strategies aimed at improving rumination could be included into the cognitive behavioral therapy of insomnia [
31,
45].
Despite the association and possible role of rumination in connection with insomnia, patients in this study claimed physical factors to be the type of symptoms that interfered most with their sleep quality, coinciding with results reported in other studies [
12]. This result suggests that patients may tend to underreport psychological symptoms such as rumination, but also highlights the importance of careful evaluation of physical symptoms. Among the physical factors, pain was the symptom that patients mentioned most often as interfering with their sleep quality, suggesting that pain should be especially taken into consideration when assessing and managing insomnia, as reported in other studies [
11,
14]. Nevertheless, pain was not found associated with insomnia in the multivariate regression analysis in the present study.
Dyspnoea showed a significant association with insomnia measured with the single question in the multivariate regression analysis. Dyspnoea has been also reported in the literature as being the cause of sleep disturbance [
12,
46]. However, this association has not been confirmed in other studies [
4]. Also a higher performance status (higher Karnofsky index) has shown association with insomnia measured with the single question in the multivariate regression analysis of this study. Unlike this study, other studies found that a lower performance status might be associated with insomnia [
4,
11]; however, these results were not confirmed in the multivariate analyses of these studies. Results regarding the Karnofsky index in the present study should be interpreted cautiously, as the range of performance status included was limited by the inclusion criteria.
Patients with daytime sleepiness in this study showed moderate to severe insomnia less often according to the SDS, in comparison to those patients without daytime sleepiness (37.8% vs 75.0%), suggesting that patients with moderate to severe insomnia might be more often awake in PCUs during the daytime. In a secondary analysis, daytime sleepiness was associated with a higher intake of psychotropic medication; it could be hypothesized that sleepiness due to psychotropic medication might also be happening at night. Literature on the relationship between daytime sleepiness and insomnia in palliative care is scarce. Although there is some controversy, our result is comparable with other studies [
46,
47]. Nevertheless, excessive daytime sleepiness in the general adult population seems more likely to be attributed to short sleep duration [
48], but the insufficient sleep can be due to insomnia or to other factors. Pharmacological treatment and biological aspects associated with advanced cancer, such as cytokines influencing the sleep-wake cycle [
49], could influence the presence of daytime sleepiness. Further studies are needed in order to understand the relationship between daytime sleepiness and insomnia.
To the best of our knowledge, environmental factors have rarely been considered in the literature in relation to insomnia. Despite not being significantly associated with insomnia in the multivariate analysis, results of this study show that patients do care about environmental factors with regard to their sleep. Although PCUs are generally quieter than other conventional hospital wards, this result suggests that special care should be taken to ensure that these units are free of unnecessary noise, light or other interruptions during the night-time. As suggested by the hyperarousal theory, patients with insomnia might find themselves in a cycle of increased cognitive and physiological sustained sensory processing of environmental stimuli [
50,
51].
In the present study no association between insomnia and other sociodemographic (e.g. gender, age) or clinical characteristics (e.g. diagnosis and stage of the disease, medication use) was found.
This study has limitations. The low sample size does not allow us to speak about prevalence of insomnia and limits the interpretation of the results of the multivariate analysis. This study should be seen as exploratory. Replication of the results in further studies with larger sample sizes is required. The SDS was translated into the Catalan language, but no backward translation was performed, as recommended by methodological literature [
52]. However, the items were not complex in terms of language and no important cultural differences were expected after translation. Furthermore, no formal validation of the scale was carried out.
The day during admission on which interviews took place varied, with some taking place after one week of admission. Only 36% of the consecutively admitted patients were included in the study. About 10% of the admitted patients were not assessed for inclusion because they were discharged or died before, but their sociodemographic characteristics did not differ from the other patients admitted. More than half of the admitted patients were excluded because they were too confused or had a too bad performance status, similar to that experienced in other studies [
4]. Results of the present study may not be representative of all patients admitted, but of those with better cognitive and performance status.
Competing interests
The authors declare that there is no conflict of interest.
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Authors’ contributions
ARG, ARR, JP and CF developed the research question and conceived the study design. ARG and MS collected and managed the data. ARG, JP, ARR and SM performed the data analysis. ARG drafted the manuscript, supported by ARR, JP, CF and RM. All authors critically read and approved the final manuscript.