Introduction
Sleep is a fundamental biological process essential for maintaining physical health, cognitive function, and emotional well-being. It occupies approximately one-third of an individual’s life and plays a critical role in the restoration and regulation of various physiological systems (Segun et al., 2022). Despite its importance, sleep disturbances have become increasingly prevalent across populations, particularly among healthcare workers such as nurses. These disturbances include insomnia, fragmented sleep, excessive daytime sleepiness, and difficulty falling or staying asleep—conditions that compromise not only the individual’s quality of life but also their job performance and patient safety (Bazrafshan et al., 2019; Al Maqbali et al., 2021).
Nurses are especially vulnerable to sleep disorders due to the unique demands of their profession, including long working hours, rotating shifts, high emotional stress, and exposure to critical clinical environments. Studies have shown that sleep disturbances in nurses are associated with impaired concentration, increased medical errors, reduced job satisfaction, and elevated risks of anxiety and depression (Lin et al., 2015; Membrive-Jiménez et al., 2022). The impact extends beyond the professional realm, affecting nurses’ social lives and increasing the risk of burnout and chronic illness (Chattu et al., 2018).
In regions facing systemic healthcare challenges, such as Iraq, the burden of sleep disorders among nurses may be exacerbated by additional factors such as staffing shortages, political instability, economic hardship, and limited institutional support (Obaid & Qassim, 2020; Al-Ameri, 2017). Within such settings, the need to understand and address sleep-related issues becomes even more urgent, as poor sleep health can undermine the sustainability and effectiveness of the nursing workforce.
Although several international studies have documented the prevalence and contributing factors of sleep disturbances among nurses, limited data are available from Iraq, particularly from the Al-Najaf Governorate. Furthermore, while some evidence suggests that demographic variables such as age, gender, and work shifts may influence sleep quality, findings remain inconsistent, indicating the need for localized investigations (Yılmaz et al., 2021; Jahrami et al., 2021).
Therefore, this study seeks to determine the prevalence of sleep disturbances among nurses in Al-Najaf Governorate and explore their association with key demographic characteristics. By identifying potential risk factors and patterns, the study aims to inform future interventions and support the development of targeted strategies to promote healthier sleep practices among Iraqi nurses.
Materials and Methods
Study Design and Setting
This study employed a descriptive cross-sectional design to assess the prevalence of sleep disturbances among nurses in Al-Najaf Governorate, Iraq. The research was conducted in January 2025 and targeted nurses working across various healthcare facilities affiliated with the Al-Najaf Health Office.
Study Population and Sampling
The study population included registered nurses currently employed in governmental healthcare institutions. A non-probability convenience sampling technique was used to recruit participants. A total of 308 nurses voluntarily participated in the study. The sample size was determined based on standard formulae for prevalence studies to ensure adequate representation of the target population (Al Kabi & Alhamoody, 2025).
Data Collection Tool
Data were gathered using a structured, self-administered online questionnaire composed of two main sections:
-
Sociodemographic Information: This section collected data on age, gender, workplace unit, and type of shift.
-
Sleep Disturbance Assessment: A 12-item sleep quality scale was used to evaluate symptoms of sleep disturbances. Each item was rated on a three-point Likert scale (1 = No, 2 = Sometimes, 3 = Yes). An average score below 0.7 indicated the presence of sleep disturbances, while a score of 0.7 or higher indicated the absence of significant symptoms.
Validity and Reliability
The content validity of the questionnaire was confirmed by a panel of 12 experts specializing in psychiatric and mental health nursing. Reliability testing using Cronbach’s alpha yielded a coefficient of 0.82, indicating high internal consistency.
Ethical Considerations
Ethical approval was obtained from the Ethics Committee of the College of Medicine and the College of Nursing at the University of Kufa. Informed consent was obtained from all participants prior to data collection. Confidentiality and anonymity were strictly maintained, and participation was voluntary with the right to withdraw at any stage without penalty.
Statistical Analysis
Data were entered and analyzed using Microsoft Excel 2013 and SPSS version 23. Descriptive statistics (frequencies, percentages, means, and standard deviations) were used to summarize the data. Inferential statistics, including the Chi-square test, Odds Ratio (OR), and Eta Squared (η²), were used to examine associations between demographic variables and sleep disturbances. A p-value of less than 0.05 was considered statistically significant.
Results
A total of 308 nurses participated in the study. The majority of respondents were female (64.6%), aged between 25 and 35 years (75%), and worked morning shifts (49.35%). The most common workplace setting was the emergency unit, accounting for 39.3% of participants.
Prevalence of Sleep Disturbance
The findings revealed a high prevalence of sleep disturbances among the nursing population in Al-Najaf Governorate. Overall, 91.9% (n = 283) of the participants reported experiencing symptoms of sleep disturbances, while only 8.1% (n = 25) reported normal sleep patterns.
Association with Demographic Variables
The Chi-square test results showed no statistically significant associations between sleep disturbances and the demographic variables of age (p = 0.94), gender (p = 0.71), type of work shift (p = 0.16), or unit of work (p = 0.76) (Table 1).
Although females represented the majority of those reporting sleep disturbances (64.6%), odds ratio analysis indicated that males were 1.5 times more likely to report sleep disturbances; however, this finding was not statistically significant, as the 95% confidence interval included the value 1 (OR = 1.52; 95% CI: 0.947–1.084) (Table 4).
Effect Size of Demographic Variables
The strength of association between demographic variables and sleep disturbances was also assessed using Eta squared (η²). The effect sizes for age (η² = 0.21), gender (η² = 0.21), and unit of work (η² = 0.15) were all weak, indicating a minimal influence of these factors on sleep disturbance prevalence (Table 2).
Table 1: Relationship between sleep disturbances and nurses' demographic characteristics.
|
Variables
|
|
normal sleep
|
abnormal
Sleep
|
Total
|
Chi
|
df
|
P-Value
Si
|
|
F
|
%
|
F
|
%
|
F
|
%
|
|
|
|
|
Age
|
25-35 years
|
19
|
6.17
|
212
|
68.83
|
231
|
75.0
|
0.402
|
3
|
0.94
NS
|
|
36-50 years
|
1
|
3.24
|
19
|
6.17
|
20
|
6.49
|
|
Less than 25 years
|
5
|
1.62
|
51
|
16.6
|
56
|
18.18
|
|
More than 50 years
|
0
|
0.00
|
1
|
3.25
|
1
|
3.25
|
|
Gander
|
Female
|
17
|
5.52
|
182
|
59.09
|
199
|
64.6
|
0.137*
|
1
|
0.71
NS
|
|
Male
|
8
|
2.60
|
101
|
92.7
|
109
|
35.4
|
|
Type of shift
|
Morning shift
|
13
|
4.22
|
139
|
45.13
|
152
|
49.35
|
14.363*
|
10
|
0.16
NS
|
|
Evening shift
|
5
|
1.62
|
30
|
9.74
|
35
|
11.36
|
|
Night shift
|
6
|
1.95
|
101
|
92.7
|
107
|
34.74
|
|
Day time only
|
1
|
3.24
|
5
|
1.62
|
6
|
1.95
|
|
Every other day
|
0
|
0
|
2
|
0.65
|
2
|
0.65
|
|
Other
|
0
|
0
|
6
|
195
|
6
|
1.95
|
|
Unit of the nurses work
|
Emergency Unit
|
13
|
4.22
|
108
|
35.06
|
121
|
39.3
|
17.107*
|
20
|
0.76
NS
|
|
Children's and premature infant wards
|
1
|
3.24
|
18
|
5.84
|
19
|
6.17
|
|
ICU
|
4
|
1.30
|
41
|
13.32
|
45
|
14.61
|
|
Surgical wards
|
0
|
0.00
|
13
|
4.22
|
13
|
4.22
|
|
Medical wards
|
3
|
0.97
|
15
|
4.87
|
18
|
5.84
|
|
Operating room
|
1
|
3.24
|
33
|
10.74
|
34
|
11.4
|
|
Other nursing units
|
2
|
0.65
|
28
|
9.09
|
30
|
9.74
|
|
Other specializations
|
0
|
0.00
|
9
|
2.92
|
9
|
2.92
|
|
Administrativework (nursing affairs
|
1
|
3.24
|
11
|
3.57
|
12
|
3.89
|
|
Psychiatric Unit
|
0
|
0.00
|
1
|
3.24
|
1
|
3.24
|
|
Not employed
|
0
|
0.00
|
3
|
0.97
|
3
|
0.97
|
|
Grand Total
|
25
|
8.1
|
283
|
91.9
|
308
|
100.0
|
|
Table 2: Eta Effect Size Between Demographic Factors and sleep disturbance
|
Measures of Association
|
Eta Squared
|
Interpretation of Eta value
|
|
Age Class and sleep disturbance
|
0.21
|
Weak
|
|
Gender and sleep disturbance
|
0.21
|
Weak
|
|
Unit of the work and sleep disturbance
|
0.15
|
Weak
|
Table 3: Contingency of odd ratio for gander and sleep disturbances among nurses
|
|
count odd ratio
|
Total
|
|
normal sleep
|
abnormal Sleep
|
|
Gender
|
Male
|
Count
|
8
|
101
|
109
|
|
% within Gender
|
7.3%
|
92.7%
|
100.0%
|
|
Female
|
Count
|
17
|
182
|
199
|
|
% within Gender
|
8.5%
|
91.5%
|
100.0%
|
|
Total
|
Count
|
25
|
283
|
308
|
|
% within variables
|
8.1%
|
91.9%
|
100.0%
|
Table 4: Odds Ratio of Gender and sleep disturbances.
|
Variables
|
Value
|
95% Confidence Interval
|
|
Lower
|
Upper
|
|
Odds Ratio for Gender
|
0.848
|
0.354
|
2.034
|
|
For cohort count odd ratio = normal sleep
|
0.859
|
0.383
|
1.926
|
|
For cohort count odd ratio = abnormal Sleep
|
1.013
|
0.947
|
1.084
|
|
N of Valid Cases
|
308
|
|
Discussion
This study highlights the alarming prevalence of sleep disturbances among nurses working in healthcare facilities in Al-Najaf Governorate, with 91.9% of participants reporting symptoms of poor sleep. This figure exceeds the prevalence rates reported in several international studies, such as 63.9% in China (Dong et al., 2017), 56% in Iran (Bazrafshan et al., 2019), 68% in Jordan (Almhdawi et al., 2021), and 63% in the United States (Surani et al., 2015). The significantly higher rate observed in the current study suggests a critical need to address sleep-related health issues among Iraqi nurses, potentially reflecting the combined effects of unstable healthcare infrastructure, high workload, and economic and social stressors (Obaid & Qassim, 2020).
Despite the high prevalence, the study found no statistically significant association between sleep disturbances and demographic variables such as age, gender, work shift, or unit of employment. These findings are consistent with those reported by Van Nguyen and Liu (2022), who also observed no significant differences in sleep quality across demographic groups. However, the literature remains mixed. Some studies have identified gender and shift type as important predictors of sleep quality (Yılmaz et al., 2021; Flo et al., 2012). In contrast, the present study’s use of odds ratios revealed that male nurses were 1.5 times more likely to experience sleep disturbances, although this was not statistically significant. This paradox may reflect cultural and contextual differences in reporting patterns or psychological resilience.
Interestingly, while females constituted the majority of the sample and reported more cases of sleep disturbance in absolute numbers, the adjusted odds ratio suggests a slightly higher vulnerability among male nurses. This finding contrasts with the general trend in sleep research, which often reports higher rates of insomnia and poor sleep among females due to hormonal fluctuations, family responsibilities, and psychosocial stress (Mallampalli & Carter, 2014; Tsou, 2022). It is possible that in the context of Iraq, male nurses may face additional societal and occupational pressures that contribute to disrupted sleep patterns, such as expectations of being the primary provider or working in higher-risk units.
Workplace setting and shift type, which have been widely associated with sleep quality in other studies (Stimpfel et al., 2012; Zhang et al., 2019), also showed no significant effect in the present study. However, the majority of participants worked morning shifts and in emergency units—both high-stress environments known to contribute to sleep problems. Although the absence of statistical significance may be due to sample homogeneity or unmeasured confounding variables, the weak eta-squared values further confirm that demographic factors alone do not fully explain the high prevalence of sleep disorders in this population.
These findings suggest that broader organizational and psychosocial factors, such as workload intensity, lack of psychological support, inadequate rest between shifts, and socio-economic challenges, may play a more critical role in shaping sleep health. Previous research has shown that nurses who experience high levels of occupational stress and poor work-life balance are more likely to suffer from sleep-related issues (Membrive-Jiménez et al., 2022; Hayajneh et al., 2024). The Iraqi context—marked by long-term conflict, economic hardship, and healthcare workforce shortages—may exacerbate these issues, contributing to chronic sleep disruption among nurses.
Given these results, it is imperative that health administrators and policymakers in Iraq develop and implement evidence-based strategies to support nurses’ sleep health. Interventions might include optimizing shift schedules, offering psychological support services, and educating nurses about sleep hygiene practices. Furthermore, future research should investigate the role of institutional and environmental stressors using qualitative or mixed-methods designs to gain deeper insights into the lived experiences of nurses facing sleep problems.
Conclusion
This study revealed a strikingly high prevalence of sleep disturbances among nurses working in healthcare facilities in Al-Najaf Governorate, with over 91% of participants reporting symptoms. Despite this alarming rate, no statistically significant associations were found between sleep disturbances and demographic variables such as age, gender, type of shift, or unit of work. The weak effect sizes further suggest that these demographic factors alone are insufficient to explain the widespread occurrence of sleep disorders in this population.
The findings point toward the influence of broader occupational, psychological, and environmental stressors—such as workload, lack of institutional support, and socio-economic pressures—as more likely contributors to sleep disturbances among nurses. These results underscore the urgent need for targeted interventions, including mental health support, staff education on sleep hygiene, and organizational policy reforms to mitigate work-related stress and improve sleep quality among nurses.
Addressing sleep disturbances is not only essential for the well-being and performance of nurses but also for ensuring patient safety and the overall quality of care in Iraq’s healthcare system.
Ethical Considerations
This study fully adhered to strict ethical research standards. Formal ethical approval was obtained from the Ethics Committee of the College of Medicine and the approval of the College of Nursing at the University of Kufa, ensuring the protection of the rights of all participants. Prior to data collection, informed consent was obtained from each nurse, and participants were assured that their participation was completely voluntary.
The study ensured strict adherence to the principles of confidentiality and anonymity, as no personally identifiable information was collected that could link participants to their responses. All participants were informed of their full right to withdraw from the study at any stage without adverse consequences. Prior to data collection, the purpose and objectives of the study were clearly explained to all participants to ensure they fully understood the nature of the research and its procedures.
Conflict of interest
I declare that there are NO conflicts of interest
AI Declaration
I hereby declare that no artificial intelligence (AI) tools were used in the preparation, writing, or development of this work. All content was created entirely by me, without the assistance of any AI-based technologies.
Acknowledgment
The authors would like to express their sincere gratitude to the nurses who participated in this study for their time, honesty, and valuable contributions. Special thanks are extended to the Al-Najaf Health Office and the College of Nursing at the University of Kufa for their support and facilitation of the research process. Appreciation is also due to the panel of psychiatric and mental health experts who assisted in validating the research instrument. Without their cooperation and dedication, this study would not have been possible.
Funding: This research was conducted without the support of external funding sources.