Evaluation of Anxiety Symptoms and Sleep Quality among Patients Undergoing Coronary Angiography

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RESEARCH ARTICLE

Evaluation of Anxiety Symptoms and Sleep Quality among Patients Undergoing Coronary Angiography

The Open Public Health Journal 08 Apr 2025 RESEARCH ARTICLE DOI: 10.2174/0118749445384225250328040226

Abstract

Background

Patients with cardiovascular disorders often experience poor sleep quality and heightened anxiety. Coronary Angiography (CAG), an invasive procedure used to diagnose and treat cardiovascular conditions, can further impact anxiety levels and sleep quality. This study aimed to examine the relationship between sleep quality and anxiety symptoms in patients undergoing CAG.

Methods

This cross-sectional study included 218 patients undergoing CAG in Shahroud, Iran. Data collection tools included the demographic profile form, Generalized Anxiety Disorder (GAD-7) questionnaires, and the Saint Mary's Hospital Sleep Quality Questionnaire (SMHSQ). The participants were evaluated in the morning and before the angiography. The data were collected through self-reporting using online questionnaires and then analyzed using descriptive and inferential statistics (multivariate linear regression analysis).

Results

The average age of the patients was 60.76 ± 10.55. About half of the subjects reported severe anxiety symptoms and moderate sleep disturbance. Sleep disorder had a significant and direct relationship with the level of anxiety symptoms. Also, variables such as younger age, female gender, lack of secondary support, and lack of health insurance coverage were recognized as factors of higher anxiety (P < .05).

Conclusion

The high prevalence of sleep disorders and anxiety symptoms in patients awaiting CAG can adversely affect their clinical outcomes. Therefore, implementing strategies to enhance sleep hygiene and alleviate psychological distress is essential, ideally through the collaborative efforts of a multidisciplinary team of healthcare professionals.

Keywords: Anxiety, Coronary angiography, Sleep quality.

1. INTRODUCTION

Although many advances have been made in understanding pathophysiology, risk factors, and technologies for diagnosing and treating cardiovascular diseases in recent years, Coronary Artery Disease (CAD) is still the leading cause of death worldwide [1]. The American Heart Association states that cardiovascular diseases cause 17.3 million deaths per year [2]. CAD is a disorder that causes atherosclerotic plaques in the walls of coronary arteries, resulting in the narrowing or blockage of coronary arteries and acute clinical symptoms such as angina pectoris and myocardial infarction [3]. Coronary Angiography (CAG) is a highly accurate coronary artery imaging method for diagnosing cardiovascular diseases. This procedure has been known as the golden standard diagnostic method for CAD [4].

Angiography is an invasive treatment that is typically accompanied by adverse psychological effects such as emotional discomfort and worry [5]. One of the most prevalent mental diseases is anxiety. It is a natural emotional response to mental pressure that presents itself through psychological and physical symptoms [6]. A high level of anxiety affects all aspects of one's life, lowering the prognosis for patients with CAD and delaying their recovery and length of hospitalization [7, 8]. Waiting for angiography, fear of the cardiac catheterization unit, fear of death, and the side effects of angiography are the leading causes of anxiety symptoms among CAG patients [9]. A rise in anxiety symptoms in cardiovascular patients can have numerous negative impacts on both physical and psychological health. Anxiety feelings in individuals with cardiovascular illness are typically connected with vascular endothelial dysfunction, higher heart and breathing rates, high blood pressure, and a consequent decline in immunity [10]. According to the literature review, one of the factors contributing to the anxiety in angiography patients is a decrease in sleep quality [11]. Therefore, controlling anxiety in CAG patients is crucial due to its direct impact on cardiovascular function and procedural outcomes. Increased anxiety can elevate heart rate, blood pressure, and vascular resistance, thereby raising the risk of perioperative complications. Furthermore, unmanaged anxiety may impair patient cooperation during the procedure, potentially extending the duration of the CAG and affecting diagnostic accuracy [12]. In addition to its immediate effects, anxiety has been associated with longer hospital stays, delayed recovery, and a poorer quality of life following the procedure. Therefore, addressing anxiety not only enhances patient comfort but also contributes to improved cardiovascular outcomes and overall well-being [13].

Sleep quality refers to a person's sleep experience. It can be measured objectively (via a set of indicators such as awakenings, amounts and percentages of sleep stages, rapid eye movement delay, number of apneas or hypopneas, and periodic sleep movements measured by polysomnography or actigraphy) or subjectively (via sleep diaries or self-reported surveys) [14]. Patients' exposure to noise, light, and numerous procedures in the intensive care unit increases nightly awakenings, resulting in poor sleep quality (a typical stressor in cardiac care units), decreased daily energy levels, depressed symptoms, as well as exhaustion [15, 16]. Furthermore, new research has shown that poor sleep quality increases sympathetic activity, blood pressure, and heart rate, which can be linked to more severe coronary artery damage, systemic inflammation, and endothelial problems [17]. Öneği et al. (2021) found that patients receiving CAG have poor sleep quality and significant exhaustion as a result of a variety of causes. The causes of poor sleep quality in hospitalized patients must be identified, and appropriate therapies must be implemented [16]. According to Lewandowska et al. (2020), patients in intensive care units blame their sleep issues on factors such as separation from loved ones, anxiety about seeing the deaths of others, misunderstandings over medical language and equipment alarms, and an inability to adapt to the new environment [18]. Earlier studies have shown that patients with cardiovascular disorders, particularly those undergoing angiography, frequently have a range of sleep disturbances, including apnea, insomnia, and frequent awakenings [19, 20].

Given the importance of excellent sleep quality and mental distress control, such as anxiety symptoms, in cardiovascular disorders, the present study investigated the relationship between anxiety symptoms, sleep quality, and other parameters in CAG patients.

2. METHODS AND MATERIALS

2.1. Study Design and Settings

This cross-sectional study was conducted from February to August 2023 at Imam Hossein Hospital in Shahroud, Iran. After securing the appropriate permissions, 218 qualified patients undergoing CAG were selected using the convenience sampling method under conditions as similar as possible in terms of patient care, light control, sound control, and traffic in the morning and before the angiography [16]. Participants were required to be over 18 years old, able to read and write, with established hearing and speaking abilities, and have a confirmed diagnosis of Coronary Artery Disease (CAD) based on cardiology examinations and paraclinical tests. Exclusion criteria were designed to minimize confounding factors that could influence physiological and psychological responses during the procedure. Patients were excluded if they experienced severe pain that interfered with sleep, required emergency angiography, or had taken sedative medications within one hour prior to the procedure. Furthermore, individuals who consumed alcohol, caffeine, or smoked were excluded, as these substances can impact cardiovascular responses, anxiety levels, and hemodynamic stability, potentially influencing study outcomes. A history of bleeding disorders was also an exclusion criterion due to the increased risk of complications during Coronary Angiography (CAG) [5]. Moreover, patients with severe mental illness (diagnosed by a psychiatrist) or those on neuroleptic medications were excluded to avoid variability in psychological responses that could affect the study's results.Therefore, two participants were excluded due to neuroleptic drug use, leaving a total of 218 patients assessed.

2.2. Tools

This study used the Generalized Anxiety Disorder (GAD) questionnaire, a Saint Mary Hospital Sleep Quality Index, and a demographics questionnaire to collect its data. Only those who could read and write were required to take part.

The St. Mary's Hospital Sleep Questionnaire was created by Ellis in 1981. Those having trouble falling asleep, staying asleep, waking up in the middle of the night, or getting up too early are all investigated by the aforementioned instrument. This questionnaire has a scoring range of 11-44, with 1 being a “never” response, 2 a “very little” response, 3 a “slightly” response, and 4 a “lot” response. The lowest sleep disorder score is 11, indicating no sleep disturbance. The highest score is 44, indicating the most severe level of sleep disorder. Mild sleep disturbance is indicated by a score of 11–21, moderate by 22–32, and severe by 33–44. This questionnaire has been published in the previous study [21]. Moeini et al. evaluated the reliability of the Persian version of the questionnaire using Cronbach's alpha equal to 91% [22].

Spitzer et al. (2006) developed the Generalized Anxiety Disorder questionnaire (GAD-7). This questionnaire consists of seven questions graded on a four-point Likert scale beginning at zero (never = 0, some days = 1, more than half the time = 2, and nearly every day = 3). The minimum and maximum possible scores are 0 and 21, respectively. The higher the score on this questionnaire, the greater the anxiety level of the respondents. This questionnaire has a threshold score of 10, thus a score of 10 or higher shows the presence of anxiety in individuals. Further information about this questionnaire has been presented in the recently published study [23]. The internal consistency of the Persian version of this questionnaire in the study by Hasanpour et al. (2021) was assessed using Cronbach's alpha, which was 0.86 [24].

2.3. Sample Size

The sample size based on the anxiety variable is 189 participants. According to the study by Ivziku et al. conducted in 2019 [25], the standard deviation of anxiety is 5.61, taking into account the error of 0.8. It was estimated that 220 persons were determined, with a 15% chance.

2.4. Data Analysis

Finally, the data were analyzed using descriptive (frequency, percentage, mean, and standard deviation) and inferential statistics tests (Pearson correlation coefficient and the multiple linear regression analysis) in SPSS software. To evaluate the normality of quantitative variables, particularly anxiety as the dependent variable in the linear regression analysis, the Kolmogorov-Smirnov test was conducted. Results indicated that all quantitative variables followed a normal distribution (P > 0.05). Univariate linear regression analyses were first performed individually for each variable. Variables with a significance level of less than 0.2 were then included in the multiple linear regression model. In order to perform statistical tests, a significance level of less than .05 was considered.

2.5. Ethics

In the current study, after discussing the objectives and nature of the study, each subject provided informed consent to participate in the study. They were provided with all of the essential information on confidentiality and the option to withdraw from the study. Taking into account all ethical factors, the current study has been accepted by the Shahroud University of Medical Sciences Ethics Council with the code (IR.SHMU.REC.1401.163).

3. RESULTS

The results showed that 123 patients (56.4%) were male, and about a quarter (55 people) were freelancers. Also, 137 patients (62.8%) had no previous history of CAG. The average age of the patients was 60.76 ± 10.55. Additional results are listed in Table 1.

Table 1.
Demographic characteristics of patients.
Variable n (%)
Gender Male 123 (56.4)
Female 95 (43.6)
Marital status Married 197 (90.4)
Single 21 (9.6)
Educational level Secondary school 159 (72.9)
High School 39 (17.9)
Academic degree 20 (9.2)
Employment status Unemployed 8 (3.7)
Self employed 55 (25.2)
Employed 10 (4.6)
Retired 56 (25.7)
Housewife 89 (40.8)
History of CAG Yes 81 (37.2)
No 137 (62.8)
Coverage by supportive organizations Yes 26 (11.9)
No 192 (88.1)
Health insurance coverage Yes 163 (74.8)
No 55 (25.2)
Mean (SD)
Age (years) 60.76 (10.55)
N: frequency; %:percent; SD: Standard deviation; CAG: Coronary angiography
Table 2.
Levels of sleep disturbance and anxiety symptoms among participants.
Variable n (%)
Sleep disturbance Low 75 (34.4)
Moderate 108 (49.5)
Severe 35 (16.1)
Anxiety symptoms Low 104 (47.7)
High * 114 (52.3)
N: frequency; %:percent; *: defined as patients who scored ≥ 10 points;

According to the findings of the current study, 34.4, 49.5, and 16.1% of patients had mild, moderate, or severe sleep disorders, respectively. Also, almost half of the participants (114) had severe anxiety symptoms. Table 2 provides further details.

The Kolmogorov-Smirnov test confirmed that the mean anxiety score was normally distributed (p = 0.193). Pearson's correlation analysis revealed a positive and significant relationship between the mean anxiety score and sleep disturbances (r = 0.289, p < 0.001). A backward multivariable linear regression model revealed that the variables inside the model explain 29% of the variance in people's anxiety scores. According to this, each unit increase in the sleep disorder score raises the average anxiety level by 0.239 units. The anxiety in female patients increased by 2.046 units when compared to male patients. The average anxiety score drops by 0.063 with each year of age. Also, being assisted by support organizations and health insurance reduces the average anxiety score by 1.983 and 4.335 units, respectively (Table 3).

4. DISCUSSION

Patients hospitalized in the cardiac care unit most frequently suffer from sleep disorders and anxiety [11]. Most patients with cardiovascular disorders experience anxiety before undergoing CAG as a treatment method because of the procedure's invasive nature [26]. This study aimed to examine the connection between CAG patients' anxiety symptoms and their sleep quality. The current study's preliminary findings indicated that approximately 50% of the study participants showed significant levels of anxiety. A study conducted by Uzun et al. in 2008found that people's typical and observable levels of anxiety prior to angiography were roughly average [27]. In addition, a study conducted by Shohani et al. in 2018found that most CAG patients experienced at least moderate levels of anxiety [28]. However, Asgari et al. (2019) showed that before CAG, about half of the participants reported feeling mild anxiety and about 40% felt moderate anxiety [26]. The current study's smaller sample size and use of the GAD-7 tool instead of the Spielberger State-Trait Anxiety Inventory (STAI), which was used in all of the aforementioned studies, may explain the discrepancy.

According to the current study's findings, half of the studied subjects had a moderate level of sleep disorder, which is consistent with the findings of a study conducted by Rafi et al. in 2020 [29]. Previous research by Onegi et al. conducted in 2021 found that angiography patients, on average, had fairly poor sleep [16]. In this present study, patients were assessed before undergoing angiography, which may account for the differences in findings compared to previous research where evaluations were conducted post-angiography and after hospitalization in the cardiac intensive care unit. It is important to note that a significant proportion of patients with Coronary Artery Disease (CAD) who undergo Percutaneous Coronary Intervention (PCI) experience declines in both physical and mental health, negatively impacting their sleep quality. A study conducted by Liu et al. in 2018 found that sleep disorders, depression, and anxiety were common during the final month of hospitalization among elderly patients undergoing PCI, with the severity of psychological symptoms (depression and anxiety) showing an inverse relationship with both sleep quality and overall quality of life [30]. Furthermore, having a prior history of sleep disorder prior to admission to the hospital or poor sleep quality in patients during hospitalization (due to factors such as ward noise and changing the patient's resting place) may worsen these people's clinical prognosis [31]. For example, a study conducted by Lushan et al. in 2022 found that there was a significant increase in the slow-flow phenomenon during PCI in patients who had sleep disorders prior to their hospitalization [32].

Table 3.
The role of independent variables on anxiety in patients based on the multivariate regression method.
Variables β SE t P value
Constant value 15.442 2.222 6.950 < .001
Sleep disturbance 0.239 0.059 4.087 < .001
Age -0.063 0.028 -2.247 .026
Gender Male Reference
Female 2.046 0.592 6.459 .001
Health insurance coverage Yes Reference
No 4.335 0.667 -6.503 < .001
Coverage by supportive organizations Yes Reference
No -1.983 0.901 -2.201 .029
SE: Standard error;

Due to the invasive nature of CAG, the patient may experience emotional distress, such as anxiety [5]. The current study found that hospital sleep disorders were a predictor of more severe anxiety symptoms in patients prior to PCI. According to the study by Liu et al. conducted in 2018, the severity of a person's sleep disorder is correlated with the severity of their anxiety symptoms [30]. The connection between sleep disturbances and anxiety varies between the general population and patients undergoing Coronary Angiography (CAG) due to differing psychological and physiological influences. In the general population, sleep problems often stem from chronic stress, lifestyle habits, and underlying mental health conditions, which can gradually increase anxiety levels [33]. In contrast, CAG patients typically experience sleep disturbances triggered by acute procedural anxiety, fear of diagnostic results, and concerns about the invasiveness of the procedure. The anticipation of serious health outcomes amplifies anxiety, leading to a cycle of poor sleep and increased distress. Physiological factors, such as heightened cortisol levels and autonomic dysfunction, may further intensify this relationship in cardiac patients, highlighting the need for targeted strategies to manage anxiety and sleep disturbances before CAG [34]. Insomnia, a form of sleep disorder, was found to be an independent risk factor for high preoperative anxiety in a study conducted by Li et al. in 2021, supporting the current finding [35]. The cultural and healthcare context in Iran likely influenced the anxiety levels and sleep disturbances observed in this study. In Iranian society, strong family involvement in patient care and cultural perceptions of illness can shape how patients experience and cope with anxiety [36]. Furthermore, differences in healthcare practices (such as the extent of pre-procedure counseling and patient education) may affect patients' psychological responses, potentially leading to variations in anxiety and sleep patterns compared to populations in other healthcare settings [37].

Sleep disorders, particularly insomnia, can cause or aggravate anxiety symptoms [38]. Low sleep quality is physiologically regarded as a stressful factor because it raises the heart rate, breathing rate, blood pressure, and ultimately, the heart's need for oxygen via excessive catecholamine secretion, which can lead to heart rhythm disorders, ischemia, and postoperative complications [39]. Sleep disorders play a role in psychopathology and can help identify the biopsychological basis for experiencing symptoms or suffering from anxiety disorders. A meta-analysis found that people with anxiety disorders or anxiety symptoms were more likely to have mental sleep disorders, were less likely to get enough sleep overall, and were less likely to get deep sleep [40]. It is worth noting that the inverse is also true: pre-op insomnia can be a result of a patient's experiencing psychological distress like anxiety or depression. Insomnia prior to surgery is negatively impacted by pain and anxiety, as demonstrated by Sun et al. in 2021 [41].

This study's findings showed that women, in comparison to men, experienced more anxiety before CAG. In accordance with this result, a study by Asgari et al. in 2019 confirmed a similar finding in CAG candidate patients [26]. A study conducted by Mommersteeg et al. in 2017 found that women with nonobstructive CAD reported higher rates of psychological distress than men [42]. One of the independent risk factors for high preoperative anxiety was found to be female gender, according to the previous research [35]. Women understand negative emotions better than men and are more affected by them, which may explain this finding. Women are predicted to experience more anxiety symptoms than men in these situations because patients describe anxiety in the therapeutic environment as an unpleasant mental state of the unknown regarding diagnostic methods, treatment, and consequences. One possible explanation for the disparity in anxiety levels between sexes is that men and women deal with stress in different ways [43].

The results of this study indicated that participants' anxiety decreased with age. Abensur Vuillaume et al. (2022) confirmed a similar conclusion regarding anxiety during angiography [44]. In addition, another study by Ghods et al. conducted in 2019)revealed that the anxiety of patients undergoing coronary artery bypass surgery decreased with increasing age [45]. This finding suggests that the angiographic procedure may affect young people disproportionately. When admitted to cardiac intensive care units, it may be easier for older adults to maintain high-quality social contact than it is for younger adults. In addition to having greater experience and more effective emotional coping strategies for a variety of stressors, older people also have superior emotional regulation. Folkman et al. (1987) found that age differences are effective in individuals' coping with stressful situations; therefore, younger adults seek interpersonal social support, whereas older adults use emotion-focused intrapersonal coping [46].

People who were covered by health insurance and supported by organizations reported significantly fewer anxiety symptoms, according to additional findings of this study. In this regard, a study by Tel et al. conducted in 2011 demonstrated that patients with health insurance had significantly fewer anxiety symptoms prior to angiography [47]. In accordance with the findings of the present study, those without health insurance tend to experience economic strain, which may manifest as psychological symptoms such as anxiety and depression [48]. Due to the costs of hospitalization and, in some cases, their poor economic conditions, it should be noted that patients or their families require economic support, and if necessary, they should be covered by these supports (evidence of being covered by insurance or even being supported by support organizations such as non-governmental organization (NGO), welfare, and charity). Therefore, as a study by Pourghane et al. conducted in 2018 confirmed the above evidence, people's worries due to a lack of access to appropriate and desirable treatment services will manifest as anxiety symptoms or provoke and exacerbate anxiety symptoms if such resources are unavailable [49].

One key limitation of this study is its cross-sectional design, which limits causal inferences between anxiety and sleep disturbances in patients undergoing CAG. While the findings offer valuable insights, they capture data at a single time point. Future longitudinal studies could better track how anxiety and sleep patterns evolve before, during, and after CAG, providing stronger causal evidence and guiding interventions. Another limitation is the lack of analysis of sociocultural factors contributing to higher anxiety levels in women. Cultural expectations, gender roles, and societal pressures may influence anxiety but were not examined in this study. Future research should explore these factors to better understand gender disparities and develop targeted interventions. The reliance on self-reported measures for anxiety and sleep disturbances may introduce bias due to subjective interpretation and social desirability. Future studies should incorporate objective sleep assessments, such as actigraphy or polysomnography, for more accurate evaluations. Additionally, the studydid not account for variables like quality of life, death anxiety, medication use, or pre-existing mental health conditions, which could confound the results. Including these factors in future research would allow for a more comprehensive understanding of anxiety and sleep disturbances in patients undergoing CAG. While the GAD-7 was used to assess anxiety, it primarily focuses on generalized anxiety and may not fully capture situational or procedural anxiety related to CAG. Future studies should consider using tools like the Spielberger State-Trait Anxiety Inventory (STAI) for a more nuanced assessment. The use of convenience sampling from a single hospital in Iran may limit the generalizability of the findings due to cultural and socioeconomic factors. Randomized sampling across multiple centers would enhance external validity. Additionally, exploring interventions such as psychological support, sleep hygiene education, and pharmacological treatments could help develop strategies to reduce anxiety and improve sleep quality. Finally, the study did not assess factors like fear of the procedure, lack of familiarity with the medical team, or anxiety about potential complications, which could influence anxiety levels. Despite these limitations, this study offers valuable insights into the psychological state of CAG patients and highlights the importance of addressing anxiety and sleep disturbances to improve clinical outcomes.

CONCLUSION

There is a notable association between sleep disturbances and anxiety symptoms in patients undergoing CAG. Introducing targeted interventions to enhance sleep hygiene and manage anxiety could significantly improve patients' preoperative well-being. A multidisciplinary approach involving psychiatric nurses, psychiatrists, and psychologists is essential to deliver comprehensive care through psychological support, educational programs, and, when appropriate, complementary therapies.

AUTHORS’ CONTRIBUTION

The authors confirm their contribution to the paper as follows: study conception and design: F. A., S. H., S. M., H. E., data collection: F. A., S. H., S. M., analysis and interpretation of results: M.H. B., draft manuscript: F. A., S. H., S. M., M.H. B., H. E.. All authors reviewed the results and approved the final version of the manuscript.

LIST OF ABBREVIATIONS

CAG = Coronary Angiography
GAD-7 = 7-item Generalized Anxiety Disorder Scale
SMHSQ = Saint Mary's Hospital Sleep Quality Questionnaire
CAD = Coronary Artery Disease
STAI = Spielberger State-trait Anxiety Inventory
PCI = Percutaneous Coronary Intervention
NGO = Non-Governmental Organization

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

The study has been approved by the Shahroud University of Medical Sciences Ethics Council with the code (IR.SHMU.REC.1401.163).

HUMAN AND ANIMAL RIGHTS

No animals were used in this research. This study adhered to the principles outlined in the Declaration of Helsinki, ensuring participants' rights to freely engage in the research, avoidance of harm, the right to withdraw from the study, and preservation of data confidentiality.

CONSENT FOR PUBLICATION

informed consent was obtained from participants.

STANDARD OF REPORTING

STROBE guidelines were followed.

AVAILABILITY OF DATA AND MATERIALS

The raw data and materials supporting the findings of this study are available from the corresponding author (Hossein Ebrahimi) upon reasonable request.

FUNDING

None Declared.

CONFLICT OF INTEREST

The authors declare that they have no conflict of interest.

ACKNOWLEDGEMENTS

The present study was a result of a research project approved by the research deputy of Shahroud University of Medical Sciences. We would like to express our gratitude to the study participants and deputy of this university for their contributions to conducting the study.

REFERENCES

1
Malakar AK, Choudhury D, Halder B, Paul P, Uddin A, Chakraborty S. A review on coronary artery disease, its risk factors, and therapeutics. J Cell Physiol 2019; 234(10): 16812-23.
2
Sacks FM, Lichtenstein AH, Wu JHY, et al. Dietary fats and cardiovascular disease: A presidential advisory from the American Heart Association. Circulation 2017; 136(3): e1-e23.
3
Buja LM, Vander Heide RS. Pathobiology of ischemic heart disease: Past, present and future. Cardiovasc Pathol 2016; 25(3): 214-20.
4
Matsoukas S, Morey J, Lock G, et al. AI software detection of large vessel occlusion stroke on CT angiography: A real-world prospective diagnostic test accuracy study. J Neurointerv Surg 2023; 15(1): 52-6.
5
Bordbar M, Fereidouni Z, Morandini MK, Najafi Kalyani M. Efficacy of complementary interventions for management of anxiety in patients undergoing coronary angiography: A rapid systematic review. J Vasc Nurs 2020; 38(1): 9-17.
6
Doğan MV, Şenturan L. The effect of music therapy on the level of anxiety in the patients undergoing coronary angiography. Open J Nurs 2012; 2(3): 165-9.
7
Allabadi H, Alkaiyat A, Alkhayyat A, et al. Depression and anxiety symptoms in cardiac patients: A cross-sectional hospital-based study in a Palestinian population. BMC Public Health 2019; 19(1): 232.
8
Çetinkaya F, Aşiret GD, Yilmaz CK, İnci S. Effect of listening to music on anxiety and physiological parameters during coronary angiography: A randomized clinical trial. Eur J Integr Med 2018; 23: 37-42.
9
Rachel H. Effectiveness of orientation programme on knowledge and anxiety among patients undergoing coronary angiography at selected hospital. Int J Nurs Educ 2016; 8(1): 88.
10
Zhang W-Y, Nan N, He Y, et al. Prevalence of depression and anxiety symptoms and their associations with cardiovascular risk factors in coronary patients. Psychol Health Med 2022; 2022: 1-13.
11
Jodaki K, abdi K, Mousavi MS, et al. Effect of rosa damascene aromatherapy on anxiety and sleep quality in cardiac patients: A randomized controlled trial. Complement Ther Clin Pract 2021; 42101299
12
Haidari Z, Modanloo M, kazemi S, Farzadmehr M. Comparison of the effects of face-to-face and group education on awareness and anxiety of family members of candidates for coronary angiography. J Res Dev Nurs Midwifery 2021; 18(1): 21-5.
13
Nadali J, Ghiyasvandian S, Haghani S, Mirhosseini S, Navidhamidi M. Effect of acupressure in the third eye point (EX-HN 3) on psychological distress, comfort and physiologic parameters among patients undergoing coronary angiography. Explore (NY) 2024; 20(6)103021
14
Nelson KL, Davis JE, Corbett CF. Sleep quality: An evolutionary concept analysis. Nurs Forum 2022; 57(1): 144-51.
15
Andrechuk CRS, Ceolim MF. Sleep quality in patients with acute myocardial infarction. Texto Contexto Enferm 2015; 24(4): 1104-11.
16
Öneği̇ T, Efe Arslan D. Sleep quality and fatigue level of patients with coronary angiography. Clin Exp Health Sci 2021; 11(3): 449-56.
17
Levy P, Tamisier R, Arnaud C, et al. Sleep deprivation, sleep apnea and cardiovascular diseases. Front Biosci (Elite Ed) 2012; 4(6): 2007-21.
18
Lewandowska K, Mędrzycka-Dąbrowska W, Pilch D, et al. Sleep deprivation from the perspective of a patient hospitalized in the intensive care unit—Qualitative study. Healthcare 2020; 8(3): 351.
19
Dey S, Sun E, Frishman WH, et al. Sleep disorders and coronary artery disease. Cardiology 2022.
20
Manolis TA, Manolis AA, Apostolopoulos EJ, Melita H, Manolis AS. Cardiovascular complications of sleep disorders: A better night’s sleep for a healthier heart/from bench to bedside. Curr Vasc Pharmacol 2020; 19(2): 210-32.
21
Ellis BW, Johns MW, Lancaster R, Raptopoulos P, Angelopoulos N, Priest RG. The St. Mary’s Hospital sleep questionnaire: A study of reliability. Sleep 1981; 4(1): 93-7.
22
Moeini M, Khadibi M, Bekhradi R, Mahmoudian SA, Nazari F. Effect of aromatherapy on the quality of sleep in ischemic heart disease patients hospitalized in intensive care units of heart hospitals of the Isfahan University of Medical Sciences. Iran J Nurs Midwifery Res 2010; 15(4): 234-9.
23
Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: The GAD-7. Arch Intern Med 2006; 166(10): 1092-7.
24
Hasanpour M, Maroufizadeh S, Mousavi H, Noughani F, Afshari M. Prevalence of generalized anxiety disorder among nursing students in Iran during the COVID-19 pandemic: A web-based cross-sectional study. Int J Afr Nurs Sci 2021; 15100360
25
Ivziku D, Clari M, Piredda M, De Marinis MG, Matarese M. Anxiety, depression and quality of life in chronic obstructive pulmonary disease patients and caregivers: An actor–partner interdependence model analysis. Qual Life Res 2019; 28(2): 461-72.
26
Asgari MR, Barari L, Ghorbani R, et al. 2019; Anxiety levels in patients candidate for coronary artery angiography. Koomesh J 21(3): 437-44.
27
Uzun S, Vural H, Uzun M, Yokusoglu M. State and trait anxiety levels before coronary angiography. J Clin Nurs 2008; 17(5): 602-7.
28
Shohani M, Mozafari M, Sayehmiri K, Amoozadeh MH. Investigation of anxiety of patients undergoing coronary angiography in Imam Hossein Hospital of Mehran in 2016. Indian J Forensic Med Toxicol 2018; 12(2): 232.
29
Rafi N, Khodadadizadeh A, Nematabad MS, et al. The evaluation of the effect of aromatherapy with lavender essential oil on the quality of sleep of cardiac patients candidate for angiography. Pak J Med Health Sci 2020; 14: 1143-7.
30
Liu X, Zhang YQ, Ding B. Correlation of anxiety and depression with sleep quality and quality of life in elderly patients with percutaneous coronary intervention. J Shanghai Jiaotong Univ 2018; 38(9): 1085-91.
31
Zhu C, Lu Y, Cheng M, et al. Sleep profile and the risk of cardiovascular events in patients undergoing percutaneous coronary intervention. Psychol Health Med 2021; 2021: 1-13.
32
Lushan C, Xiaoming L, Jian L, et al. Relationship between sleep quality and slow-flow in patients with acute coronary syndrome during percutaneous coronary intervention and its impact on clinical prognosis. J Chin Physician 2022; 246-249: 255.
33
Rasouli A, Majnouni A, Balam FH, et al. Association of macronutrient intake, physical activity, anxiety, and depression with sleep quality among Iranian male adolescents. BMC Res Notes 2024; 17(1): 298.
34
Peng A, Lin Z, Zhu C. Relationship of psychiatric disorders and sleep quality to physical symptoms in coronary artery disease. J Nerv Ment Dis 2022; 210(7): 541-6.
35
Li XR, Zhang WH, Williams JP, et al. A multicenter survey of perioperative anxiety in China: Pre- and postoperative associations. J Psychosom Res 2021; 147110528
36
Good BJ, Kleinman AM. Culture and anxiety: Cross-cultural evidence for the patterning of anxiety disorders Anxiety and the anxiety disorders 2019; 297-324.
37
Flynn PM, Betancourt H, Emerson ND, Nunez EI, Nance CM. Health professional cultural competence reduces the psychological and behavioral impact of negative healthcare encounters. Cultur Divers Ethnic Minor Psychol 2020; 26(3): 271-9.
38
Chellappa SL, Aeschbach D. Sleep and anxiety: From mechanisms to interventions. Sleep Med Rev 2022; 61101583
39
Fontana CJ, Pittiglio LI. Sleep deprivation among critical care patients. Crit Care Nurs Q 2010; 33(1): 75-81.
40
Cox RC, Olatunji BO. Sleep in the anxiety-related disorders: A meta-analysis of subjective and objective research. Sleep Med Rev 2020; 51101282
41
Sun GW, Yang YL, Yang XB, et al. Preoperative insomnia and its association with psychological factors, pain and anxiety in Chinese colorectal cancer patients. Support Care Cancer 2020; 28(6): 2911-9.
42
Mommersteeg PMC, Arts L, Zijlstra W, Widdershoven JW, Aarnoudse W, Denollet J. Impaired health status, psychological distress, and personality in women and men with nonobstructive coronary artery disease: Sex and gender differences: The TWIST (Tweesteden Mild Stenosis) Study. Circ Cardiovasc Qual Outcomes 2017; 10(2)e003387
43
Luo Z, Li Y, Hou Y, et al. Gender-specific prevalence and associated factors of major depressive disorder and generalized anxiety disorder in a Chinese rural population: The Henan rural cohort study. BMC Public Health 2019; 19(1): 1744.
44
Abensur Vuillaume L, Gentilhomme C, Weber S, et al. Effectiveness of hypnosis for the prevention of anxiety during coronary angiography (HYPCOR study): A prospective randomized study. BMC Complement Med Ther 2022; 22(1): 315.
45
Ghods AA, Keramati A, Mirmohamadkhani M, et al. Anxiety and associated factors in patients undergoing coronary artery bypass surgery. J Mazandaran Univ Med Sci 2019; 28(170): 127-37.
46
Folkman S, Lazarus RS, Pimley S, Novacek J. Age differences in stress and coping processes. Psychol Aging 1987; 2(2): 171-84.
47
Tel H, Yazıcı Sayın Y, Yılmaz M, Tel H, Güneş P. Anxiety in patients before coronary angiography. Eur Psychiatry 2011; 26(S2): 404.
48
Bell R, Marmot M. Social determinants and mental health. Oxford Textbook of Social Psychiatry 2022.
49
Pourghane P, Rajab pour Nikfam M, Ebadi A. Perceived stressors of Hospitalized Patients’ family in cardiac care unites: A qualitative content analysis. Qual Rep 2018; 23(7): 1515-29.