|Year : 2021 | Volume
| Issue : 2 | Page : 127-132
The predictive power of sleep quality by morning-evening chronotypes, job satisfaction, and shift schedule in nurses: A cross-sectional study
Masumeh Hemmati-Maslakpak, Farzin Mollazadeh, Hossein Jamshidi
Department of Medical and Surgical Nursing, Urmia School of Nursing and Midwifery, Urmia University of Medical Sciences, Urmia, Iran
|Date of Submission||12-Feb-2020|
|Date of Decision||15-Mar-2020|
|Date of Acceptance||15-Dec-2020|
|Date of Web Publication||05-Mar-2021|
Mr. Farzin Mollazadeh
Urmia School of Nursing and Midwifery, Urmia University of Medical Sciences, Urmia
Source of Support: None, Conflict of Interest: None
Background: Among nurses, sleep quality is an important factor which can be associated with many other factors, including job satisfaction, Morning-Evening (ME) chronotypes, and shift schedule. Besides, poor sleep quality can cause some problems for nurses and negatively affect the quality of nursing care. Therefore, the present study aimed to determine the predictive power of sleep quality by ME chronotypes, job satisfaction, and shift schedule in nurses working in Urmia teaching hospitals in 2019. Materials and Methods: A total of 327 nurses working in teaching hospitals affiliated to Urmia University of Medical Sciences were recruited using stratified sampling. Data were collected using the demographic questionnaire, the Pittsburgh Sleep Quality Index (PSQI), the Minnesota Satisfaction Questionnaire (MSQ), and the Composite Scale of Morningness (CSM). Data were analyzed using linear regression analysis and Pearson correlation coefficient. Results: The results of the Pearson correlation coefficient and linear regression analysis showed that the ME chronotypes (R2 = 0.51, p = 0.006), job satisfaction (R2 = 0.51, p = 0.001), and shift schedule (R2 = 0.51, p = 0.005) are significantly correlated with the sleep quality among nurses. Conclusions: We concluded that the sleep quality was correlated with ME chronotypes, job satisfaction, and shift schedule, so that increased job satisfaction was associated with improved sleep quality, and the shift to the morning chronotype was associated with decreased sleep quality. Rotating shifts were also associated with higher sleep quality.
Keywords: Circadian rhythm, Iran, job satisfaction, nurses, sleep hygiene
|How to cite this article:|
Hemmati-Maslakpak M, Mollazadeh F, Jamshidi H. The predictive power of sleep quality by morning-evening chronotypes, job satisfaction, and shift schedule in nurses: A cross-sectional study. Iranian J Nursing Midwifery Res 2021;26:127-32
|How to cite this URL:|
Hemmati-Maslakpak M, Mollazadeh F, Jamshidi H. The predictive power of sleep quality by morning-evening chronotypes, job satisfaction, and shift schedule in nurses: A cross-sectional study. Iranian J Nursing Midwifery Res [serial online] 2021 [cited 2023 Mar 21];26:127-32. Available from: https://www.ijnmrjournal.net/text.asp?2021/26/2/127/310828
| Introduction|| |
Poor sleep quality is a serious problem in nurses which affects the healthcare systems and can cause serious problems for nurses themselves., Sleep quality refers to a deep sleep perception and includes dimensions of long-term sleep deprivation, its adequacy, its mental aspects, and sedation as well. At least 75' of shift workers suffer from sleep disorders, so that 32' of night-shift workers and 26' of rotating shift workers suffer from insomnia and excessive sleepiness which can lead to circadian rhythm disorders, damaged interpersonal relationships, poor job performance, and low threshold for job stress tolerance, and low job satisfaction. Regarding what mentioned, low Job satisfaction can conversely affect the sleep quality.,,
Nursing career satisfaction is a global challenge and has potential impacts on the quality of care and patient safety. Besides, it is one of the most important factors affecting turnover intention. In Iran, about 22.2', 61.1' and 16.7' of nurses have low, moderate and high levels of job satisfaction, respectively. Chang Wen Pei (WP) and Chang Yu Pei (YP) (2019) showed that job satisfaction in nurses depends on the shift schedule and sleep quality, as the night shift nurses had a poor sleep quality and experienced a low level of job satisfaction. Khajeh Hosseini et al. (2019) indicated that most nurses (90.68') had poor sleep quality which can affect their job satisfaction.
Another factor related to the sleep quality is Morning-Evening (ME) chronotypes. Individuals differ in diurnal preferences, sleep-wake patterns, and alertness in the morning and evening. Morning-types get out of bed early and are usually more alert in the first half of the day and go to bed earlier. However, evening-types tend to wake up late in the morning and are more alert in the late afternoon, and it takes them a long time to fall asleep at midnight. The third group comprises the intermediate-type individuals who are in the middle., While Lee et al. (2015) concluded that there was no correlation between the ME chronotypes and the sleep quality among nurses.
Nursing as a job is of great sensitivity as the job satisfaction and chronotypes of nurses can affect their sleep quality. Determining the sleep quality status, level of job satisfaction, and morning-evening preferences in nurses as well as their relationships delineates the importance of the matter and shapes health policy to improve nurses' sleep quality. This, in turn, improves nurses' job satisfaction, quality of nursing care, patient satisfaction, and patient safety. Regarding the existence of contradictory studies on this area, and the lack of a particular study on the predictive power of sleep quality by the factors mentioned, the need for a comprehensive study in this field is becoming more evident. Therefore, the present study aimed to determine the predictive power of sleep quality by ME chronotypes, job satisfaction, and shift schedule among nurses working in Urmia teaching hospitals in 2019.
| Materials and Methods|| |
This is a cross-sectional descriptive correlational study conducted from March to August 2019 in Urmia, Iran. The study population consisted of nurses working in Intensive Care Unit (ICU), Neonatal Intensive Care Unit (NICU), and medical (internal, isolation, neurology, respiratory, gastroenterology, oncology, nephrology, endocrinology, cardiology and dermatology), surgical (general surgery, neurosurgery and orthopedics), pediatric, psychiatric and emergency wards of five teaching hospitals affiliated to Urmia University of Medical Sciences. In the present study, a total of 327 nurses were recruited using stratified sampling. Considering the confidence interval of 95' in the study by Mikaeli et al. (2017), the minimum sample size was calculated to be 323. Regarding sample attrition of 10', the final sample size was considered to be 355. After filling in the questionnaires, 28 partially completed questionnaires were excluded and a total of 327 nurses were entered the study.
The participants were enrolled using stratified sampling. To this end, the number of nurses working in teaching hospitals was obtained from the Vice-Chancellor for Treatment Affairs. Accordingly, the questionnaires were assigned to each hospital. Then the number of wards in each hospital (N) and the number of nurses in each ward (n) were identified. Based on the n/N ratio, a particular sample size was allocated to each ward. In each ward, sampling was conducted using the shift schedule and the table of random numbers. Inclusion criteria included (a) having at least 6 months of work experience in clinical departments, (b) willingness to participate in the study, and (c) having no mental health disorder requiring sedative-hypnotic medications. Besides, exclusion criteria consisted of only incomplete questionnaires. Regarding easy access to the study population in all shifts, the researcher referred to the hospital in all three morning, evening, and night shifts to collect data. Considering the nurses' high workload and no intention of interfering in the patient care process, the questionnaires were given to the nurses at the beginning of the shifts and collected at the end, so that they completed the questionnaires whenever they were free during the shifts. In the present study, data were collected using the demographic questionnaire, the Pittsburgh Sleep Quality Index (PSQI), the Minnesota Satisfaction Questionnaire (MSQ), and the Composite Scale of Morningness (CSM). The demographic questionnaire included questions on gender, age, education, marital status, work experience, shift schedule, and workplace (ward).
The PSQI is a self-report questionnaire including 9 items. Item number 5 itself contains 10 sub-items, so that the questionnaire is composed of 19 items and is scored on a 4-point Likert scale. The higher overall score indicates poorer sleep quality. Buysse et al. (1989) who developed and introduced this questionnaire, measured the internal consistency of the questionnaire using Cronbach's alpha coefficient and alpha equaled to 0.83. The validity and reliability of the Persian version of the questionnaire were obtained 0.73 and 0.74, respectively.
The MSQ consists of 19 items for measuring job satisfaction. In this questionnaire, each item is scored on a 5-point Likert scale from “strongly disagree = 1” to “strongly agree = 5”. A total scores of 19 to 38, 38 to 57, and above 57 indicate poor, moderate, and high job satisfaction, respectively. The validity of the questionnaire was confirmed by experts and its reliability was confirmed with the Cronbach's alpha of 0.78.
The CSM is a combined scale with 13 items to determine the ME Chronotypes of the individuals. Each item is scored on a scale ranging from 1 to 4 or 5, and the overall score ranges from 13 (severe eveningness) to 55 (severe morningness). In detail, scores of less than 23, 23 to 43, and 44 and above indicate the evening-, intermediate- and morning-type, respectively. The Cronbach's alpha of 0.80 confirms the internal consistency of the instrument, and its validity was also confirmed by the experts.
After data collection, data were analyzed using the descriptive statistics, central tendency, the Pearson correlation coefficient, One-Way Analysis of Variance (ANOVA), and linear regression. All statistical analyses were conducted using SPSS software version 16.0 (SPSS Inc., Chicago, Ill., USA). A P value of less than 0.05 was considered statistically significant.
This study was approved by the Ethics Committee of Urmia University of Medical Sciences (with ethics number of IR.UMSU.REC.1398.127). All participants were assured of the confidentiality of their personal information and the anonymity of the questionnaires. Written informed consent was obtained from all participants prior to the beginning of the study. Moreover, all participants were provided by explanation on the probability of withdrawal from the study, so that they were free to withdraw from the study at any phase. The researcher also explained the advantages of the study.
| Results|| |
The results of this study showed that the mean age of the participants was 33 years. The participants were constituted of morning (9.23'), evening (9.8'), night (8.16'), and rotating shift (5.50') nurses. The results of the independent t-test showed a statistically significant difference in job satisfaction between the BSc (Bachelor of Science) and the MSc (Master of Science) nurses (t325 = 2.20, p = 0.028). The results of one-way ANOVA also showed a significant difference in sleep quality (F326 = 3.96, p = 0.008) and ME chronotypes (F326 = 4.04, p = 0.008) among rotating shift nurses. [Table 1]
|Table 1: Demographic information and correlation between scores of sleep quality, ME chronotypes** and job satisfaction in nurses|
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Based on the results, there was a significant positive correlation between the sleep quality and the ME chronotypes (R2 = 0.51, p = 0.006). Furthermore, there was a significant negative correlation between the sleep quality and the level of job satisfaction (R2 = 0.51, p = 0.001), so that with an increase in preference for morningness, the mean score of sleep quality decreased (sleep quality would have weakened), and the mean score of sleep quality increased (sleep quality would have improved) with an increase in the level of job satisfaction [Table 2] and [Table 3].
|Table 2: Correlation coefficients between sleep quality, ME chronotypes** and job satisfaction in nurses|
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|Table 3: Regression coefficient for the relationship between the sleep quality and the ME chronotypes**, job satisfaction, and shift types|
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In [Table 3], the results of linear regression analysis for sleep quality are reported based on the variables examined. Based on the data in [Table 3], ME chronotypes, job satisfaction, and shift schedule are the best predictors of sleep quality. Based on the findings, the correlation coefficient between the above variables and the sleep quality was 0.26 and the coefficient of determination was 0.51. The findings indicated that the sleep quality is predictable to 50.9' using the variables of ME chronotypes, job satisfaction, and shift schedule.
| Discussion|| |
The results of the present study showed that nurses' shift schedule is an effective factor in their sleep quality. In other words, the shift schedule is a predictor of sleep quality as the rotating shift nurses had a higher sleep quality than other nurses, and the night shift nurses had a higher sleep quality compared to those working on the morning shift, and the evening shift nurses had the worst sleep quality. The results of the present study are not consistent with the results of the study by Karagozoglu and Bingol (2008). The results of their study demonstrated that nurses working on rotating shifts had a poor sleep quality which resulted in a negative impact on their daily activities and general health status, so that it eventually led to a decrease in job performance and satisfaction. Chang WP and Chang YP (2019), in a study on the relationship between job satisfaction and sleep quality, revealed that job satisfaction among nurses depends on the shift schedule and sleep quality as the night shift nurses had a poor sleep quality and subsequently experienced a low level of job satisfaction. One of the possible reasons for this inconsistency is the level of both nurses' job satisfaction and workload in different shifts and different countries. The results of the present study demonstrated that the job satisfaction and sleep quality in evening shift nurses are lower than in other nurses. The reason for this is the lower working hours and higher workload in the evening shifts compared to other shifts. Regarding the hospital policy, there is a heavy workload of medication administration and a high rate of elective patient admission during the evening shifts.
In a study by Li et al. (2019), shift schedule was also considered as a direct predictor of sleep quality. However, the results of the study by Ferri et al. (2016) are not consistent with the results of present study since the quality of sleep and its related problems in night shift nurses were lower than those with rotating shifts. The reason for this difference can be due to the shift categorization in their study. In their study, the shifts were categorized into two groups of night and rotating shifts, and the number of rotating shift nurses was significantly higher than the night shift nurses. However, there was an extensive and precise categorization in our study, so that the nurses were divided into four categories: morning, evening, night and rotating shift nurses. Moreover, the difference in the number of nurses between the categories was not statistically significant.
The results of the present study indicated that there was a significant correlation between sleep quality and job satisfaction, so that the high level of job satisfaction was directly correlated with high sleep quality. Furthermore, job satisfaction was a predictor of sleep quality. The results of the study by Luz et al. (2011) were also in line with the results of present study. Luz et al. found that there was a significant correlation between job satisfaction and sleep quality. The results of the study by Khajeh Hosseini et al. (2019) are also consistent with the results of the present study. In their study, it was found that most nurses had poor sleep quality and one of the factors associated with poor sleep quality was low job satisfaction. The results of a study by Li et al. (2019) also showed that job satisfaction affects nurses' sleep quality indirectly. They found that job satisfaction affects chronic fatigue which can produce negative effects on sleep quality. Akerstedt et al. (2015) found that higher work demands predict disturbed sleep. This result is consistent with the results of present study. Najafi et al. (2014) indicated that nurses' sleep quality decreases with an increase in the level of job stress. Moreover, Karagozoglu and Bingol (2008) demonstrated that poor sleep quality is associated with low job satisfaction. In a study by Kristiansen et al. (2011), it was found that sleep problems can cause problems in job performance. All in all, the results of the present study were consistent with the above as the sleep quality and job satisfaction are correlated, and low job satisfaction decreases nurses' sleep quality.
The results of the present study showed that there is a significant relationship between the sleep quality and the ME chronotypes, so that the sleep quality significantly decreases in morning-type nurses. The ME chronotypes were also predictors of sleep quality. The results of the study by Mozafari et al. (2016) on the sleep quality among medical students showed that there is a significant relationship between ME chronotypes and sleep quality, so that the sleep quality of morning-type students is lower than other students. The results of a study by Yazdi et al. (2014) indicated that there is a significant relationship between the sleep quality and the circadian chronotypes, so that the sleep quality of evening-type nurses was lower than other nurses. Bavarsad et al. (2015) reported the quality of sleep among morning-types was worse than that of the morning-types. The results of a study by Yoo et al. (2017) demonstrated that there is a significant relationship between the ME chronotypes and the sleep quality in shift nurses, although the results of their study differ from the results of our study. The reason for this difference is that the evening-type nurses experienced poor sleep quality and more severe daytime sleepiness. On the contrary, Lee et al. (2015) showed that there is no relationship between the sleep quality of nurses and the ME chronotypes. Furthermore, Zencirci et al. (2011) indicated that nurses working consistently on morning or night shifts had better sleep quality than those working on rotating shifts. The results of the study by Simor et al. (2018) were also in line with the results of present study. They found that eveningness can be a predictor of sleep quality. The reason for this difference in the results could go back to the different tools used for examining the ME chronotypes. Therefore, further studies with different tools are needed to determine the wider dimensions of the effects of ME chronotypes on sleep quality. Based on the results of the present study, the nurses' sleep quality was associated with their job satisfaction, so that the high level of job satisfaction was directly associated with high sleep quality. Besides, as the ME progressed to the morningness, sleep quality significantly decreased. The results of some studies were consistent with the results of present study and the results of some studies were not. Therefore, to evaluate the differences between the studies, further researches are needed to be conducted on different cultural conditions and the hospitals with different management and nursing systems as well.
The limitations of the present study consisted of the followings: (a) the research setting was restricted to merely five teaching hospitals affiliated to Urmia University of Medical Sciences. Therefore, the results cannot be generalized to other health settings with relatively different nursing systems. Moreover, (b) response bias was possible due to the lack of full-time supervision of the researcher on the process of fulfilling in the questionnaires by the participants.
| Conclusion|| |
The results of present study showed that the nurses' sleep quality is affected by their job satisfaction and ME chronotypes. In other words, the level of job satisfaction increased with an improvement in sleep quality, and as the ME progressed to the morningness, sleep quality decreased significantly.
The present study is derived from the approved research project by the Vice-Chancellor for Research of Urmia University of Medical Sciences (with grant number of 8100). The authors express their appreciation to all those who cooperated with the research team in conducting this study.
Financial support and sponsorship
Urmia University of Medical Sciences
Conflicts of interest
Nothing to declare.
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[Table 1], [Table 2], [Table 3]