Prevalence Of Poor Sleep Quality Research Articles

Prevalence of Sleep Quality among Academic Staff of a Private University in Malaysia

Introduction: Poor sleep quality is frequently related to poor mental health and is a common medical disorder. It may differ by population, but limited studies have been done in Malaysia. This study was conducted to measure the prevalence of poor sleep quality among academic staff at Universiti Tunku Abdul Rahman (UTAR) Kampar Campus. Methods: In total, 344 randomly selected academic staff were approached to answer the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results: Unexpectedly, 42.7 % of them were affected by poor sleep quality (global PSQI score >5). The average actual sleep duration was recorded at 6.68 hours. Age and global PSQI scores were not significantly correlated. Female staff had poorer subjective sleep quality (P= 0.027). The elder age group (P= 0.012) and associate professors and professors (P= 0.006) consumed more sleep medications. Non-Ph.D. holders had poorer subjective sleep quality (P= 0.008) and sleep latency (P= 0.032) as well as global PSQI score (P= 0.045) compared to Ph.D. holders. Conclusion: Prevalence of poor sleep quality was higher than expected among academic staff. This may affect workplace functioning and burden the staff with more health issues related to poor sleep quality.

Stress and sleep quality in medical students: a cross-sectional study from Vietnam.

The COVID-19 pandemic has resulted in significant global social and economic disruptions, as well as changes in personal attitude and behavior. The purpose of this research is to assess the sleep quality and stress levels of medical students. Data was collected from medical students over the course of a month in 2021. A total of 4,677 students at the University of Medicine Pham Ngoc Thach were invited to complete an anonymous web-based survey, which included the Pittsburgh Sleep Quality Questionnaire Index (PSQI) for measuring sleep quality and the COVID-19 Student Stress Questionnaire (CSSQ) for evaluating stress. A total of 1,502 students participated in our survey. More than half of the participants exhibited poor quality of sleep as indicated by their PSQI score. Many students reported going to bed after midnight and spending time on their smartphones. Among the students surveyed, 21.84% experienced low levels of stress (CSSQ ≤6), 63.38% had mild stress (7 ≤ CSSQ score ≤ 14), 14.78% reported high levels of stress (CSSQ >14). This study showed a high prevalence of poor sleep quality in the surveyed students, which could be attributed to changes in their behavior following the COVID-19 outbreak. Mild stress was also frequently observed, and it may be related to sleep disorders in this population. These important findings provide valuable insights for making recommendations, including lifestyle modifications to improve sleep quality.

Association between psychological discomforts and sleep quality among people living with HIV/AIDS

BackgroundPsychological discomfort and sleep problems are considered separate disorders. Due to the high prevalence of both disorders among people living with HIV (PLWH), this study was designed to evaluate how those challenges are present among PLWH.MethodA cross-sectional study was conducted using data from a national survey of 1185 confirmed PLWH from 15 provinces in Iran from April to August 2019. Psychological discomfort and sleep quality were assessed using standardized versions of related Persian questionnaires. Logistic regression was used to assess the association between psychological discomfort and sleep quality in PLWH.ResultsThe overall prevalence of poor sleep quality, depression, anxiety, and stress was 47.71%, 50.95%, 44.26%, and 41.77%, respectively. The results of multivariate-adjusted logistic regression showed that each psychological discomfort covariate increased the odds of poor sleep quality. Depression by adjusting for anxiety and stress, anxiety by adjusting for depression and stress, and stress by adjusting for depression and anxiety all increased the odds of poor sleep quality.ConclusionA high prevalence of psychological discomfort was observed in PLWH. Depression, anxiety, and stress were strongly associated with sleep quality. PLWH needed more attention and social support in order to reduce sleep and psychological issues.

Association between sleep quality and cardiovascular disease in maintenance hemodialysis patients: a prospective cohort study

Objective This study aimed to analyze the association between sleep quality and cardiovascular disease in patients on maintenance hemodialysis (MHD). Methods A total of 601 patients with MHD in the second affiliated hospital of Nanjing Medical University, were prospectively enrolled in this cohort study from January 2019 to December2019. The global Pittsburgh sleep quality index (PSQI) score > 7 indicates that a person with poor sleep quality. Patients were divided into two groups according to the PSQI score. Follow-up was conducted about 3 years with all-cause death and major adverse cardiovascular events (MACEs) as the endpoint events. Results Of the 601 patients, 595 patients completed the PSQI assessment, with 278 patients having poor sleep quality. Patients in the PSQI > 7 group were older and had a higher proportion of cardiovascular disease or diabetes. Years of education, diastolic blood pressure, and heart rate were lower in the PSQI > 7 group. At a mean follow-up period of 3 years, 116 patients died, 64 patients were lost to follow-up, and 115 patients experienced MACEs. After adjusting for confounding factors such as age, gender, dialysis age, and previous cardiovascular disease, the risk of MACE in patients with poor sleep quality was twice that of patients with good sleep quality (HR = 2.037 (1.339, 3.097), p = 0.001). There was no significant difference in the risk of all-cause death between the two groups. Conclusion The prevalence of poor sleep quality was 46.7% in patients with MHD. Poor sleep quality was an independent risk factor for MACEs in patients with MHD.

Chronotypes and their association with sleep quality among Chinese college students of Anhui Province: a cross-sectional study

ObjectivesTo describe the prevalence of chronotype and sleep quality among Chinese college students and explore the relationship between chronotype and sleep quality.DesignA cross-sectional study.SettingFour colleges and universities in Anhui, China,...

Prevalence of sleep disturbances in patients with long COVID assessed by standardised questionnaires and diagnostic criteria: A systematic review and meta-analysis

ObjectiveWe aimed to study the prevalence of sleep disturbances in patients with long COVID-19. MethodsWe conducted a systematic review and meta-analysis of the pooled prevalence of sleep disturbances in patients post COVID-19. We systematically searched relevant studies from three databases, including Medline, Embase and Scopus. Original articles were included based on specific criteria: peer-reviewed, observational studies involving adults (18 or older) with confirmed post COVID-19 status through PCR testing and focused on sleep in the context of post COVID-19. Exclusion criteria included non-English articles, studies with insufficient data, and narrative/systematic reviews. The search was performed from 31st July 2023 to 15th August 2023. We identified 35 eligible papers; however, we excluded 6 studies which did not describe the sleep assessment. We used a random-effects meta-analysis model to estimate the pooled prevalence of sleep disturbances. Results29 studies involved 13,935 long COVID-19 patients; approximately 39% of participants were male aged 18 to 97 years. The overall pooled prevalence of sleep disturbance was 46% (95% CI: 38–54%). Subgroup analyses revealed that the pooled prevalence of poor sleep quality was 56% (95% CI: 47–65%). The pooled prevalence of insomnia was 38% (95% CI: 28–48%). Finally, the pooled prevalence of excessive daytime sleepiness was 14% (95% CI: 0–29%). ConclusionSleep disturbances are common in long COVID-19 patients. The healthcare sector should recognise these sleep issues and provide an early, effective treatment to prevent long-term sequelae of sleep problems.

Effect of Sleep Quality on Anxiety and Depression Symptoms among College Students in China's Xizang Region: The Mediating Effect of Cognitive Emotion Regulation.

While the exact mechanisms are not fully understood, there are significant links between sleep quality, anxiety, depressive symptoms, and cognitive emotion regulation. This research examines how sleep quality affects anxiety and depressive symptoms, as well as the potential of cognitive emotion regulation strategies (CERS) to moderate the impact of sleep quality on these symptoms. The Chinese version of the Pittsburgh Sleep Quality Index (CPSQI), the Cognitive Emotion Regulation Questionnaire (CERQ), the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder Scale-7 (GAD-7) were all completed online by students from two colleges in China's Xizang region. The study included 4325 subjects. The prevalence of poor sleep quality, anxiety symptoms, and depression symptoms was 45.69%, 36.81%, and 51.86%, respectively. We observed significant direct effects on poor sleep and severity of anxiety/depression: c'1 = 0.586 (0. 544-0.628), and c'2 = 0.728 (0.683-0.773). Adaptive CERS only had a mediating effect on the relationship between sleep quality and depression symptoms, with a1b3 = -0.005 (-0.011--0.001). The link between poor sleep quality and the intensity of anxiety and depression was significantly affected by the indirect effects of maladaptive CERS: effect a2b2 = 0.126 (0.106-0.147), and effect a2b4 = 0.145 (0.123-0.167). Individuals who experience poor sleep quality are more likely to have increased levels of anxiety and depression. However, enhancing sleep quality led to a decrease in anxiety and depression levels. Adaptive CERS did not predict anxiety, but they did predict depression. Multiple maladaptive CERS could increase levels of anxiety and depression. To prevent mental stress, it is crucial to examine sleep problems among college students, understand their cognitive strategies, promote the adoption of adaptive CERS, and reduce the reliance on maladaptive CERS.

Sleep Quality in Patients With Ocular Graft-Versus-Host Disease After Allogeneic Hematopoietic Stem Cell Transplantation.

To investigate the sleep quality in patients with ocular graft-versus-host disease (oGVHD) compared with patients without oGVHD after allogeneic hematopoietic stem cell transplantation (alloHCT) and healthy controls. This cross-sectional study analyzed 142 patients after alloHCT including 94 patients with oGVHD and 48 without. Fifty healthy controls were also enrolled. oGVHD was diagnosed according to International Chronic Ocular GVHD Consensus Group (ICOGCG) criteria. Sleep quality was assessed by the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI). Poor sleep quality was defined as CPQSI score greater than 6. Patients after alloHCT demonstrated a significantly higher CPQSI score than those of controls {7.0 [interquartile range (IQR) 5.0-10.0] vs. 5.5 [IQR 4.8-7.0], P =0.002}, especially in the oGVHD subgroup (7.5 [IQR 5.0-11.0] vs. 6.0 [IQR 5.0-8.0], P =0.04) with nearly double prevalence of poor sleep quality (58 [62%] vs. 18 [37%], P =0.006). Poor sleep quality was strikingly correlated with oGVHD diagnosis (adjusted odds ratio [OR]=2.55, 95% confidence interval [CI]: 1.02-6.34, P =0.04) and systemic immunosuppressants (adjusted OR=2.61, 95% CI: 1.32-5.71, P =0.02). Among the ocular parameters, poor sleep quality was significantly associated with higher ICOGCG score (adjusted OR=1.20, 95% CI: 1.03-1.39, P =0.02) and lower tear film break-up time (adjusted OR=0.85, 95% CI: 0.74-0.99, P =0.05). Poor sleep quality was associated with an increased severity of oGVHD and tear film instability in the long-term alloHCT survivorship.

Prevalence and associated factors of poor sleep quality among industrial workers in Addis Ababa, Ethiopia: findings from a cross-sectional study

ObjectiveThis study aimed to investigate the prevalence and associated factors of poor sleep quality among Bole Lemi Industrial Park workers in Addis Ababa, the capital of Ethiopia.DesignAn institution-based cross-sectional study...

Comparison of Sleep Quality between Families of Dementia Patients and General Population in Community: Analysis with the Korea Community Health Survey

This study aimed to examine the difference of sleep quality between family members of dementia patients and general population in community.Participants (n=215,676) aged 19 years and over in the 2018 Korea Community Health Survey were classified into three groups; family members living at home with a person with dementia (FHD; n=2,445), family members living separately from a person with dementia (FSD; n=9,132), and family members without a person with dementia in the family (FwoD; n=204,099). The Pittsburgh Sleep Quality Index greater than 6 points was regarded as poor sleep quality (PSQ). Multiple logistic regression analysis was used to explore the associations between living with dementia patients and PSQ.The prevalence of PSQ was 48.3% in FHD, 40.7% in FSD, and 38.8% in FwoD. After adjusting for potential confounders, compared to FwoD, the odds ratio for PSQ was 1.42 (95% confidence interval [CI], 1.31-1.54) in FHD and 1.22 (95% CI, 1.17-1.27) in FSD. Additionally, almost all age- and sex-stratified family of dementia patients, except for the youngest (<40 years) men of FHD and the youngest (<40 years) men of FSD, had a higher risk for PSQ than FwoD.Both FHD and FSD have lower sleep quality than FwoD. Public psychological interventions and supports are needed to family members of dementia patients in the community.

Poor sleep quality and suicidal ideation among pregnant women during COVID-19 in Ethiopia: systematic review and meta-analysis.

COVID-19 has profoundly impacted the mental health and well-being of pregnant women worldwide. In Ethiopia, the poor sleep quality and suicidal ideation among pregnant women has increased due to the COVID-19 pandemic. This study aimed to provide comprehensive evidence on the prevalence and associated factors of poor sleep quality and suicidal ideation among pregnant women during COVID-19 in Ethiopia. This study is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendation. Data were searched from PubMed, Google Scholar, and African Journals Online from the occurrence of the COVID-19 pandemic to February 2023. Two researchers extracted the data and performed the methodological quality assessment independently. Random-effect model was used to estimate the pooled effect size and I2was used to check heterogeneity. Stata 14.0 (StataCorp, Collage Station, Texas, USA) was used for statistical analysis. From six studies the pooled prevalence of poor sleep quality was 55% (95% CI [0.42-0.69], I2 = 98.1%, p<0.001). Age ≥ 30 years pooled AOR = 1.95, 95% CI (0.85, 3.06), 3rd trimester pooled AOR = 3.20, 95% CI (1.82, 4.58), substance use pooled AOR = 2.51, 95% CI (0.99, 4.04), depression pooled AOR = 2.97, 95% CI (0.92, 5.02) and stress pooled AOR 2.14, 95% CI (0.24, 4.03) were associated factors of poor sleep quality. Three studies reported about suicidal ideation and pooled prevalence was 11% (95% CI: 0.09, 0.13, I2 = 48.2%, p=0.145). Depression pooled AOR = 3.19, 95% CI (1.68, 4.71) was the only associated factor of suicidal ideation. Due to COVID-19 pregnant women in Ethiopia were affected by poor sleep quality and suicidal ideation. Thus, suitable and well designed programs proposing awareness of COVID-19, mental health counseling and involvement should be designed to improve the general mental health of pregnant women. PROSPERO registration number CRD42023389896.

Evaluation of Sleep Quality and Related Factors in Community-Dwelling Adults: Ardakan Cohort Study on Aging (ACSA).

Sleep is a necessary physiological process that affects health. The current study aimed to evaluate sleep quality (SQ) and the related factors in Iranian community-dwelling adults. Study Design: A cross-sectional study. Method: Population-based cross-sectional data from the first wave of the Ardakan cohort study on aging (ACSA) were analyzed. The analytical sample consisted of 5197 community-dwelling adults aged≥50. All data were collected by trained staff. Pittsburgh Sleep Quality Index (PSQI) scores were used to measure SQ. Univariable and multivariable logistic regression were used to identify predictors of SQ. The mean age of the participants was 62.22±7.7 years, and 51.8% were female. About threequarters of them (76.36%) were found to have poor SQ (PSQI score≥5). Multivariable logistic regression analysis revealed a relationship between SQ and gender, education, work, and financial level. Furthermore, SQ was found to be associated with self-reported health and physical activity. Regarding comorbidity, SQ had a significant relationship with cardiovascular diseases, musculoskeletal diseases, depression, and anxiety (P<0.05). The prevalence of poor SQ was high in these community-dwelling adults in Iran. These findings highlight the importance of intervention programs for sleep hygiene education and screening for middle-aged and older adults.

Prevalence of Poor Sleep Quality and Associated Factors in Individuals with Rheumatoid Arthritis: A Cross-Sectional Study.

Background and Objectives: Poor sleep quality has been frequently observed in individuals with rheumatoid arthritis. In the present study, we analyzed the presence of poor sleep quality in a sample of Mexican individuals with rheumatoid arthritis; then, we compared sociodemographic and clinical characteristics among patients to determine risk factors for poor sleep quality. Materials and Methods: In this cross-sectional study, we included 102 individuals with rheumatoid arthritis from a hospital in Mexico. We evaluated disease activity (DAS28), quality of sleep using the Pittsburgh Sleep Quality Index, and the presence of depression and anxiety with the Hospital Anxiety and Depression Scale. We performed a Chi-square test and a t-test. Then, we performed a logistic regressions model of the associated features in a univariable analysis. Results: Poor sleep quality was observed in 41.75% of the individuals with rheumatoid arthritis. Being married was a proactive factor (OR 0.04, 95% CI 0.1-0.9, p = 0.04), whereas having one's hips affected or presenting with anxiety and depression was associated with poor sleep quality (OR 4.6, 95% CI 1.2-17.69, p = 0.02). After a multivariate analysis, having anxiety (OR 5.0, 95% CI 1.4-17.7, p < 0.01) and depression (OR 9.2, 95% CI 1.0-8.1, p < 0.01) remained associated with a higher risk of having poor sleep quality. Other clinical characteristics among patients were not significantly different. Conclusions: Our results showed that individuals with rheumatoid arthritis who also presented with depression or anxiety had a higher risk of suffering from poor sleep quality. However, more studies with larger samples are necessary to replicate these results in the Mexican population.

Is There a Link Between Sleep Quality and a Tendency for Eating Disorders?

Aim: Poor sleep quality has been associated with an increased risk of developing eating disorders, and unhealthy eating behaviours. The aim of the study was to explore the potential link between sleep quality and eating disorders. Subjects and Method: This descriptive, observational, and cross-sectional study was conducted with 357 (84 male; 273 female) university students between the ages of 18-25 years. Exclusion criteria included being diagnosed with chronic disease and psychiatric disorders, being pregnant and lactating, using drugs that affect sleep patterns, being shift workers, and participants who did not complete the questionnaire. The questionnaire consisted of six parts including Pittsburgh Sleep Quality Index (PSQI), Three-Factor Eating Questionnaire (TFEQ-21), SCOFF (REZZY) Eating Disorders Scale, anthropometric measurements, demographic properties, and nutritional habits. Results: The prevalence of poor sleep quality was found to be 63% and there was no significant difference between gender in terms of sleep quality (p=0.769). There was significant relationship between total TFEQ 21 (p=0.02), SCORF (REZZY) (p&lt;0.001) scores and sleep quality. Uncontrolled eating behaviours was found higher in students with poor sleep quality (p&lt;0.05). Age, body mass index (kg/m2), and smoking were not significant predictors of sleep quality. However, participants with a tendency towards eating disorders behaviour were found to have a significantly higher risk of poor sleep quality (odds ratio [OR]: 2.338, 95% confidence interval [CI]: 1.444-3.785, p=0.001), as were those with a tendency towards emotional eating behaviour (OR: 1.575, 95% CI: 1.022-2.427, p=0.040). Conclusion: Students with poor sleep quality had higher levels of uncontrolled eating behaviour and a tendency towards unhealthy eating attitudes than those with good sleep quality.

Prevalence of Poor Sleep Quality and Its Determinants Among Men Suffering from Erectile Dysfunction

Prevalence of Poor Sleep Quality and Its Determinants Among Men Suffering from Erectile Dysfunction

Sleep Quality Among People with Type 2 Diabetes Mellitus During COVID-19 Pandemic: Evidence from Qatar's National Diabetes Center.

Sleep disturbance is suspected to increase during the COVID-19 pandemic, and people with type 2 DM are known to have a higher risk of sleep disturbance. We aimed to determine the prevalence and determinants of sleep disturbance through Pittsburgh Sleep Quality Index (PSQI) during the COVID-19 pandemic. We randomly selected two hundred eighty-eight people with T2DM from the outpatient clinics of the National Diabetes Centre in Qatar. We used Chi-square, Mann-Whitney, Spearman, and Point Biserial correlation tests to examine the association between sleep quality and the independent variables. Finally, we conducted multiple logistics regression to identify the predictors of poor sleep quality and set the alpha level at 0.05. In our sample, the mean age (±SD) was 51.4 (± 9.5) years, and 64.3% of the study participants were males. The median (IQR) duration of diabetes was 10 (11) years. Additionally, 6.3% of the participants were on insulin. The median HbA1c was 7.6% (2.4). Three in ten patients reported poor sleep quality (PSQI>5); (n=103; 35.8%). Poor sleep quality was statistically associated with young age, previous history of sleep disturbance, prior diagnosis of sleep disorders, high depression score, and high perceived stress score. After adjusting for confounders, only high depressive symptoms score and previous history of sleep disorder were significant predictors of poor sleep quality (p < 0.001), with adjusted odd ratios of (aOR = 1.421; 95% CI: 1.242-1.625) and (aOR = 3.208; 95% CI: 1.574-6.537), respectively. The prevalence of poor sleep quality among people with T2DM during the COVID-19 pandemic is high. Physicians must screen for depression, stress, and previous history of sleep disorder to tackle poor sleep among T2DM.

Sleep Quality of SHS STEM Students Post-pandemic

Sleep is an integral component of maintaining overall health and well-being. Inadequate sleep can result in detrimental effects, both on mental and physiological aspects. While the impact of the COVID-19 pandemic on students' sleep quality was extensively examined, there remains a dearth of literature investigating the prevalence of sleep quality after the shift to a post-pandemic lifestyle. This study utilized a descriptive design and gathered data from 202 randomly selected grades 11 and 12 STEM students. We found that 68.81% of them have poor sleep quality. Data also showed that female students obtained high PSQI scores and had a significantly higher prevalence of poor sleep quality than males. However, there was no significant difference in sleep quality between grade levels. In conclusion, sleep quality among STEM students in the post-pandemic setting is poor, implying the need for further assessment of influencing factors in students' sleep patterns, strategies, and management skills. Furthermore, students should be educated on the importance of sleep and the negative consequences of poor sleep quality on regular activities, mental &amp; physical health, and general well-being.

Assessment of sleep quality and its factors among clinicians working in critical care units and operation theaters at North West Ethiopia, 2022: a multicenter cross-sectional study.

The objective of this study was conducted for the purpose of assessing the quality of sleep and associated factors among clinicians working in the critical care unit and operation theater. A cross-sectional study was conducted from 15 May to 15 June 2022. Data were collected using a self-administered questionnaire from 421 clinicians selected by simple random sampling techniques. Sleep quality was measured by the Pittsburg sleep quality index. The data were entered into Epi-data and exported to SPSS. Frequency and percentage were used for the descriptive analysis. Binary and multivariate logistic regression analysis were used to identify factors associated with poor quality of sleep. The strength of the association was measured with an OR within the 95% CI and P-value of <0.05. About half 220 (52.3%) of the study participants age between 25 and 30 year old and the majority 321 (76.2%) of them were males. The prevalence of poor sleeps quality was 81.5% (95% CI: 77.9-85.5). Working night shift (AOR: 3.37, 95% CI: 1.754-6.484), having depressive symptoms (AOR: 3.25, 95% CI: 1.485-7.147) and having no regular exercises (AOR: 0.299, 95% CI: 0.166-0.537) were predisposing factors for poor sleep quality. The prevalence of poor sleep quality among clinicians working in the ICU and operation room was high. Clinicians who had no regular exercise, who worked in night shift, and who had depressive symptoms were associated with poor quality of sleep. Clinicians should have an awareness on the symptoms of depression, implement sleep hygiene education programs and promoting regular exercise. The authors recommend healthcare policy makers for improving working schedules.

Risk Factors of Sleep Quality in the Incidence of Burnouts Syndrome: An Analytical Observational Study of Medical Education Students

Burnout syndrome is a condition caused by long-term job stress. Poor sleep quality can have a negative impact on cognitive function, and emotional control which can increase the risk of developing burnout syndrome. This study aims to determine whether there are risk factors for sleep quality in the incidence of burnout syndrome among medical students. An observational study with a cross-sectional design was conducted with 157 medical students at the Sultan Agung Islamic University, Semarang. Data collection was carried out using the Maslach Burnout Inventory - Student Survey and the Pittsburgh Sleep Quality Index which assessed both variables within 1 month. The test used the frequency distribution and prevalence ratio test with a confidence interval (CI) of 95% (α=0.05). The prevalence of poor sleep quality and burnout syndrome is 73.2% and 21%. The results of the analysis using prevalence ratio calculations showed that there was an increased risk of burnout syndrome due to poor sleep quality by 3.6 times with a 95% confidence interval of 1.176-11.340. From these results it can be concluded that students with poor sleep quality are 3.65 times more likely to experience burnout syndrome than those with good sleep quality.

Assessment of Sleep Quality Among Adolescents and Adults With Self-Diagnosed Irritable Bowel Syndrome, in Jeddah, Saudi Arabia.

Background The frequency of irritable bowel syndrome (IBS) has increased significantly in the last ten years. Few studies were done in Saudi Arabia to assess the relationship between sleep quality and IBS. This study aims to assess the prevalence of IBS and its association with sleep quality among adolescents and adults in Saudi Arabia. Methods A cross-sectional study was done on 651 participants aged 15-65 years. An online questionnaire was used to collect data, including demographics; the Rome IV criteria (R4DQ) was used in the diagnosis of IBS, the IBS symptoms severity scale (IBS-SSS) assessed IBS symptoms and severity, and the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Results Based on the Rome IV criteria, 25.7% of the participants had IBS. Among them, 23.3%, 17.9%, 47.3%, and 11.5% had IBS types constipation (C), diarrhea (D), mixed bowel habits (M), and undefined subtype (U), respectively. Mild, moderate, and severe IBS were found among 43.1%, 39.5%, and 17.4% of IBS cases, respectively. About 46% had poor sleep quality, which was significantly higher among those with younger mean age, females, and students. Patients with IBS exhibited a considerably greater prevalence of poor sleep quality, and IBS-C had the highest prevalence. Conclusion A correlation was found between poor sleep quality and the positive status of IBS diagnosis among adolescents and adults. An evaluation of specific sleep disorders among IBS patients is needed.