Factors associated with quality of sleep of nurses at Rafsanjan University of
Medical Sciences, Iran, in 2013
Kazemi M, PhD1,
Hosieni F, MSc2*, Rezaeian M, PhD3, Fasihihharandi T, PhD4,
Akbary A, MSc5
1-Assistant prof., of
Nursing, Dept. of Medical Surgrical
Nursing, Faculty of Nursing & Midwifery, Rafsanjan University of Medical Sciences, Rafsanjan, Iran. 2-MSc
in Community Health
Nurse,
Geriatric Care Research Center, Rafsanjan University of Medical Sciences,
Rafsanjan, Iran. 3-Professor, Dept. of Epidemiology and
Biostatistics, Occupational Environmental Research Center, Medical School,
Rafsanjan University of Medical Sciences, Rafsanjan, Iran. 4-Assistant prof., Social
Determinants of Health Research Center, Alborz University of Medical Sciences,
Karaj, Iran. 5-Instructor, Dept. of Medical Surgrical Nursing, Faculty of
Nursing & Midwifery, Rafsanjan University of Medical Sciences, Rafsanjan,
Iran.
Abstract Received:
December 2015,
Accepted: April 2016
Background: Sleep
and rest are
basic physiological human needs. Nurses work
irregularly in morning, afternoon, and evening shifts; therefore, they are at
greater risk of sleep problems than others. The aim of this study was to
identify the factors related to sleep quality of
nurses at Rafsanjan University of Medical Sciences, Iran. Materials
and Methods:
This cross-sectional study was conducted in 2013. The study subjects
consisted of 366 nurses who were randomly selected from among nurses working
at the medical university. Data collection tools included the occupational
demographic questionnaire and Pittsburgh Sleep Quality Index (PSQI). Data
analysis was performed using chi-square test and logistic regression model in
SPSS software. Results: It was found that 273 (74.7%)
of the nurses had poor sleep quality. The overall mean score of nurses was
7.35 ± 2.86. The logistic regression model showed a statistically significant
relationship between poor sleep quality and variables of age (P = 0.030) (95%
CI: 1.09-1.010) (OR = 1.50), gender (P = 0.001) (95% CI: 0.23-0.70) (OR =
0.40), number of night shifts (P = 0.003), (95% CI: 1.138-1.11) (OR = 1.20),
and having children of less than one year of age (P = 0.019) (95% CI:
3.8-1.12) (OR = 2.10). The chi-square test showed a significant relationship
between poor sleep quality and the type of working shift (P = 0.001). About one-third of the nurses in this study used
medicine for sleeping and had difficulty in falling asleep. Conclusions: The results indicated that the
sleep quality of the majority of the nurses was poor. It is suggested that a
certain guideline be developed for planning nurses’ schedules using the
results of this study and other studies in this area. |
Keywords: Sleep,
Nurses, Nursing.
Introduction
Sleep
and rest are
basic human needs. They are placed on Maslow’s hierarchy
of needs as physiological needs. They provide opportunity for
re-energizing and relief from stress for the
human body (1). When the sleep-wake cycle is disrupted, the other physiological
functions of the body will also undergo change (2). An adult requires 6-8 hours
of sleep during one day. Sleep is essential for tissue repair and growth (3).
Insomnia results in mental or physical symptoms. The severity of these symptoms
depends on the duration of sleep deprivation (3). Environmental factors such as
occupational and physiological changes could change the quality and quantity of
sleep and disrupt its natural pattern (4). Irregular sleeping patterns,
particularly in occupations which have different working* shifts are
more common (5).
Nurses constitute
the largest group of professionals in the healthcare system (1). Due to the
nature of their work, nurses operate irregularly in morning, afternoon, and
night shifts, and thus, are at risk of complications of insomnia (1) much of which are not controllable (6). Insomnia
has unpleasant impacts on the natural life of nurses and their families (1). Every year, a large number of
nurses experience medical errors due to excessive sleepiness (7) which result
in serious patient injury (8-10). Many studies have shown the association
between sleep disturbance and nursing errors (11, 12).
Allocation of
different shifts during the day to nurses is unavoidable since patients
admitted to hospitals require 24hour care services; therefore, the factors of
shifts and night work cannot be eliminated (13). The most effective treatment
for sleep deprivation among nurses is to reduce or correct the factors that
disrupt their sleep-wake pattern (14). There are many occupational and
individual factors that influence the sleep quality of nurses.
Most of the
studies which have been conducted on the nurses’ sleep were related to the circadian
rhythm (15), childcare, home responsibility and leisure
time (16), relationship between sleep quality and general health (17),
quality of life (QOL) (18), nursing errors (19), traffic accidents (20),
hormonal changes (21), and different diseases (22). However, few studies have
assessed the underlying factors that affect the sleep quality of nurses,
especially the cultural differences that should be noted in this regard (16).
The researcher,
based on her clinical experience, conducted this study with the aim to identify
variables associated with nurses’ sleep quality, so that the results could be
used by the authorities in planning to reduce the underlying sleep-related
factors among nurses.
Material and Methods
This was a
cross-sectional study. The study population included 700 nurses and paramedics
who worked at the medical centers (Ali-ibn Abi Talib, Niknafs Maternity, Moradi
hospitals, Annar and Shahre Babak) affiliated to Rafsanjan University of
Medical Sciences, Iran, and had at least 6 months of work experience. From
among these nurses, 400 were randomly selected (based on the even numbers in
the employees’ monthly schedule). Pregnancy, addiction, recent acute problems,
diseases that affect sleep quality, and the loss of loved ones in the last 6
months were among the exclusion criteria. Ethical principles, such as obtaining
an informed consent from the participants, explaining the research and its
objectives to the nurses, preserving confidentiality in the dissemination of
information, and providing participants the freedom to withdraw from the study, were observed. Data
were collected using a questionnaire through self-report by the nurses.
Finally, 366 questionnaires that were fully completed were analyzed.
Data collection
tools consisted of an occupational and demographic questionnaire and the
Pittsburgh Sleep Quality Index (PSQI). The occupational and demographic
questionnaire included questions regarding age, gender, child of less than one
year of age, type of ward, education, type of working shifts, sleep quantity,
and the number of night shifts.
To evaluate sleep
quality of the nurses, the PSQI was used. This questionnaire obtains and
assesses the nurses’ perspective toward the quality of their sleep during the
previous month through self-report. The validity and reliability
of the PSQI were 96.6% and 86.5%, respectively
(23). This questionnaire has been used in many studies and has shown high reliability
and validity (4, 13). This questionnaire includes
the 7 scales of general description of the quality of sleep, delays in falling
asleep, the duration of high quality sleep, sleep efficiency (the ratio of
sleep duration to total elapsed time in bed), sleep disorders (defined as sleep
fragmentation), the amount of sleeping drug
consumed, morning performance (problems experienced by the individual during
the day resulting from poor sleep). The score of each scale of the
questionnaire ranged between 0 and 3. Scores 0, 1, 2, and 3 in each scale
represented normal, and mild, moderate, and severe problems, respectively. The
total of the scores of the 7 scales formed the total score which was in the
range of 0 to 21. Scores of 5 and higher represent poor quality sleep (24).
Data were analyzed
using logistic regression and chi-square test in SPSS software (version 18,
SPSS Inc., Chicago, IL, USA).
Moreover, for the appropriate fitting of the logistic regression model,
the Hosmer-Lemeshow (HL) test and the receiver operating characteristic (ROC)
curve were used.
Results
The
subjects’ mean and standard deviation of age was 32.76 ± 8.03 years and the highest
percentage of subjects was in the age group of less than 30 years. The minimum
age of the participants was 18 years and the maximum age was 57 years. The
nurses in this study had a minimum of 1 year and a maximum of 30 years of work
experience. Mean and standard deviation of the
number of night shifts was 6.43 ± 2.91 nights. In this study, 262 of the nurses
(68.20%) were women, and the majority of them were married (71.01%). Moreover,
241 nurses (62.1%) had a bachelor’s degree and 300 nurses (81.96%) had rotating
working shifts.
Chi-square test
showed that satisfactory and bad quality sleep (score of 5 or more meant bad
sleep quality, and score of less than 5 meant satisfactory sleep quality) had a
significant relationship with the type of working shifts (P = 0.001). Nurses
who had rotating working shifts had the worst quality of sleep. There was no
significant relationship between the type of ward (P = 0.202), sleep quantity
(P = 0.080) during day and night, and education level (P = 0.060) (Table 1). In
addition, 93 (25.3%) of the subjects had good sleep quality, and 273 cases
(74.7%) had poor sleep quality. The overall mean score for sleeping was 7.35 ±
2.869.
Using logistic
regression model, the binary variable of sleep quality (satisfactory and bad)
was demonstrated. For variables that were statistically significant, the
P-value is marked with an asterisk. In the evaluation of the appropriate fitting of the model using HL test P equaled 0.89.
This showed that the regression model was appropriate for sleep quality.
Furthermore, the area under the ROC curve was 70.0, which indicated its
suitability for sleep quality.
Table 1: Nursing profession
characteristics and satisfactory and bad quality of sleep
Quality of sleep |
Good sleep quality |
Poor sleep quality |
Total |
Statistical tests |
|||
Frequency |
% |
Frequency |
% |
|
|||
Education level |
Diploma |
10 |
10/9 |
45 |
16/4 |
55 |
P=0/060 Chi_squre=7/42 Df= 3 |
Advanced diploma |
24 |
26/1 |
41 |
15 |
65 |
||
Bachelor |
56 |
60/9 |
175 |
63/9 |
231 |
||
Master degree |
2 |
2/2 |
13 |
4/7 |
15 |
||
The hospital wards |
Emergency |
35 |
43/75 |
25 |
41/66 |
60 |
P=0/072 Chi-square=7/42 Df=3 |
Pediatrics |
17 |
60/29 |
10 |
37/03 |
27 |
||
Surgery and internal |
30 |
60/00 |
20 |
40/00 |
50 |
||
Intensive care |
60 |
80/00 |
15 |
20/00 |
75 |
||
Another |
99 |
64/28 |
55 |
35/71 |
154 |
||
Quantity of sleep |
> 5 |
40 |
60/60 |
26 |
39/39 |
66 |
P=0/08 Chi-square=0/75 Df=3/108 |
6-9 |
170 |
77/27 |
50 |
22/72 |
220 |
||
9 < |
48 |
60/00 |
32 |
40/00 |
80 |
||
Shift types |
Rotating shifts |
225 |
75/00 |
75 |
25/00 |
300 |
P=0/001 Df=3/108 Chi-square=0/75 |
Morning or evening doesn't have night |
30 |
68/18 |
14 |
31/81 |
44 |
||
Fixed morning and evening |
13 |
59/9 |
9 |
40/90 |
22 |
Table
2: Logistic regression model, quality of sleep and its relationship with
demographic characteristics, and confidence interval odds ratio for each of the
variables
Variables |
Odds ratio |
Lower CI |
Upper CI |
P-valve |
Gender |
0/40 |
0/23 |
0/70 |
0/001* |
Age |
1/05 |
1/010 |
1/09 |
0/031* |
Number of
night shifts |
1/20 |
1/11 |
1/38 |
0/003* |
Having
children of less than one year of age: yes |
2/10 |
1/12 |
3/8 |
0/019* |
In the logistic
regression model, the relationship between sleep quality and variables of age,
gender, marital status, number of night shifts, and having children of less
than one year of age were investigated. Variables such as quantity of sleep,
type of ward, level of education, type of working shift, the number of
children, marital status, and work experience, which were not significant, were
not included in the sleep quality model. Another reason for the exclusion of
these variables from the model was that age was highly correlated with work
experience (correlation = 0.88). Therefore, only age was included to avoid the
issue of collinearity. This matter was also true for the number of night shifts
and the type of working shifts. Thus, only the number of night shifts was
included in the model. When only “having a child of less than one year of age”
was included in the model, the P-value was better than in the case of “having a
child of less than two years of age” and “having a child of less than three years
of age”. Therefore, only the variable of “having a child of less than one year
of age” was included in the model.
Regarding marital
status, the P value was far from the significant level, and it was highly
correlated with "having a child of less than one year of age"
(correlation = 0.88). Therefore, it was not included in the logistic regression
model to avoid collinearity. Akaike information criterion (AIC) values of
"having children of less than one year of age", "having children
of less than two years of age", "having children of less than three
years of age" were, respectively, 44.34, 34.350, and 56.351, and the
smallest AIC value was related to "having children of less than one year
of age". The variables of "having children of less than one year of
age", "having children of less than two years of age", and
"having children of less than three years of age" had P-values of
0.10, 0.05, and 0.01, respectively. Having children of less than one year of
age was statistically significant in the model.
Table 3: Mean and standard deviation of
each of the dimensions of sleep quality, the number of nurses who had sleep
problems
Dimensions of quality of sleep |
Nurses with problems |
Mean±SD |
||
Male |
Female |
Total |
||
Medication
use for sleeping |
83(%66/92) |
41(33/06%) |
124(%33/87) |
1.01± 0.67 |
Sleeping
disorder |
50(%45/45) |
60(%54/54) |
110(%30/23) |
1.27 ±0.54 |
Habits |
45(%49/45) |
49(%50/54) |
91(%25/50) |
0.59 ± 0.50 |
Duration
of a high quality sleep |
50(%45/04) |
61(%54/95) |
111(%30/30) |
1.10 ± 0.25 |
Delay
in sleeping |
75(%53/57) |
65(%46/42) |
140(%38/01) |
1.20± 0.50 |
Mental
quality of sleeping |
42(%51/21) |
40(%48/78) |
82(%22/20) |
1/25 ± 0.2 5 |
Daily
disorders caused by sleeping |
40(%49/38) |
41(%50/61) |
81(%22/15) |
0.93 ± 0.15 |
Total
score |
6/32 ±3 /60 |
7/58 ± 3/59 |
7/29 ±3 /66 |
7.35 ± 2.86 |
T=
0/ 742 P= 0/0002* df= 3/104 |
Variables, such as
age, gender, number of night shifts, and having children of less than one year
of age, were significant in the model in terms of the quality of sleep. In this
model, men had better sleep quality than women. Individuals who were older, had
more night shifts, or had children of less than one year of age had less chance of having a satisfactory sleep quality. For
example, the chance of having bad quality sleep with having children of less
than one year of age was 2.1 times higher (Table 2).
Among the
participants, 38.1% indicated that they fall asleep 30 minutes after going to
bed. Mean morning waking hour was estimated at 6 in the morning. Moreover,
30.30% of the participants stated that they wake up at least one hour before
the considered time. Based on the results, 33.80% of the participants had to
use medication to sleep (Table 3).
Discussion
In this study,
25.3% of the nurses had satisfactory sleep quality, and 74.7% had poor sleep
quality. In the study by Bagheri et al., 77.7% of the participants had poor
sleep quality and 22.3% had satisfactory sleep quality (25). The mean score of
sleep of the nurses was 7.29 ± 3.66 which was consistent with the study by
Akbari et al. (4). Many studies reported the mean score of sleep quality of nurses
as greater than 5 (2, 15, 26) which was higher than the quality of sleep score
of ordinary individuals (4, 26). Through the
comparison of the results of these studies it can be concluded that the quality
of sleep of nurses is poor.
In this study,
nurses who did not have night shifts had better quality of sleep compared to
the others. This result was consistent with the results of the studies by Lin
et al. (27) and Ghaljayi et al. (13). There was also a significant relationship
between quality of sleep and the number of night shifts; as the number of night
shifts increased, the quality of sleep of nurses decreased. In the study by
Rahimpour et al., with increase in night shifts, the quality of sleep of nurses
decreased (28). Night shifts are an inevitable part of nursing, but the
complications can be reduced by reducing the number of night shifts per
month.
There was a
significant difference between nurses who worked in different shifts in terms
of quality of sleep. Nurses who had rotating shifts had the worst quality of
sleep. Salehi et al. observed a statistically significant difference between
the quality of sleep of nurses with fixed working shifts and nurses with
rotating working shifts (10). In other studies, nurses who worked on night
shifts required more rest than nurses who had fixed working shifts and did not
have night shifts (29, 30). The results of this study and other studies showed
the effects of working shifts on the quality of sleep and they indicated the
need for more attention to reducing the harmful effects of working shifts.
Therefore, designing detailed studies in this field is recommended.
The possibility of
poor sleep with a child of less than one year of age was twice that without a
child of less than one year of age (2.1 times). Taking care of a child requires
much time and energy, especially during infancy because the child wakes up
during the night. This matter affects the quality of sleep of nurses especially
when they have night shifts. It should be noted that this issue was not
mentioned in other studies.
Based on the
results of this study, male nurses had better sleep quality than female nurses.
These results were consistent with the study by Karagozoglu and Bingöl, in
which the mean score of sleep quality was higher
for women than men (31). This result was justified by the great responsibility
of women in the family. Research showed that most nurses, especially women, due
to their responsibilities in the family (taking care of children and the
elderly), sleep less than 6 hours in 24 hours (32). Generally, home is a place
for relaxation and stress relief from the outside world. This is true for most
men, children, and adults; however, for most women, as long as they are awake
(sometimes even in their sleep), home is a workplace and this issue indirectly
affects the care provided for the patient. This condition of women should be
considered and compulsory overtime and shifts for women should be avoided in
order to provide safe patient care.
In this study,
with increase in age the mean score of quality of sleep also increased. In
other words, the quality of sleep of nurses decreased with aging. There was a
higher rate of sleep disorders in the elderly. In other studies, older people
were less able to adapt to night shifts (26, 33, 34). Therefore, early
retirement is recommended for nurses, so that younger people who have more
ability to adapt to circadian rhythm disorders
can be employed.
The results showed
that one-third of the nurses had disrupted sleep onset and short duration nighttime
sleep. They also woke up
earlier than desired. One-third of the participants used medication for
sleeping. Kageyama et al. studied 785 female nurses working in hospitals
and found that the prevalence of insomnia among nurses was 2.29%, and 23% of
nurses used sleeping pills to treat their sleep disorders (35). In the study by
Bagheri et al., in 50% of nurses, the duration until they slept, the mean
waking hour, and use of medication was consistent with this study (25). In
justifying these results, it should be stated that most nurses have the
responsibility of caring for their families; therefore, they have short periods
of rest, and their sleep quality is poor due to light and sounds (13). They
work during sleeping hours and try to sleep during the active hours of the day
which results in insufficient sleep and fatigue among these individuals (36).
Small gaps between shifts were also effective. Therefore, many of nurses turn
to using sleeping medications. This is a concern for nursing administrators.
Conclusion
The results showed
that most nurses had poor quality of sleep. The majority of nurses have
problems falling sleep and they use medication for this issue. There was a
significant relationship between quality of sleep and occupational and
individual characteristics such as age, gender, type of shifts, number of night
shifts, and having children of less than one year of age. Therefore, nurses
require professional help and support and the officials should find the right
solution for their sleep disorders. Developing a certain guideline for planning
nurses’ schedules using the results of this study and other studies in this
area is suggested.
Acknowledgments
This article was
the result of a final master’s thesis. Our sincere appreciation goes to the
nurses at Ali-ibn Abi Talib, Niknafs Maternity, Moradi hospitals, Annar and
Shahre Babak, Rafsanjan, Iran, for their assistance in conducting this study.
Conflict of
interest: None
declared.
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*
Corresponding author: Fatemeh Hosieni, Geriatric Care Research Center,
Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
Email: hossini1389@yahoo.com