Prevalence Of Poor Sleep Quality Research Articles

Prevalence and determinants of poor sleep quality among patients of diabetes mellitus: A tertiary hospital based cross sectional study

Background: The effects of diabetes on sleep quality are pronounced and have a cause-effect relationship. The major aim of this study was to check for the prevalence of poor sleep quality and associated factors among patients of diabetes mellitus in Pakistan as every 1 in 4th individual is suffering from diabetes in Pakistan. Materials and Methods: A hospital based cross-sectional study was conducted on diagnosed patients of diabetes mellitus from September 2023 to March 2024 using Pittsburgh Sleep Quality Index (PSQI). SPSS v.27 was used for data analysis. Frequencies, percentages for sample characteristics and means for PSQI were calculated. Chi-square and spearman were run for association and correlations respectively. Risk factors were predicted using binary logistic regression. Results: 384 responses were collected with 12 excluded. The prevalence of poor sleepers came out to be 82% and poor sleep was significantly associated and correlated with increasing age, poor glycemic control, and metformin as well as income, education and duration of diabetes respectively. Presence of comorbidities and uncontrolled diabetes were the only associated risk factors. Conclusions: Pakistani population with diabetes mellitus have an extremely high rate of poor sleep quality which should be addressed by adding sleep quality-oriented guidelines in the management of diabetes.

The mediating role of surface and deep acting and the moderating effect of occupational identity in workplace violence and sleep quality among psychiatric nurses: a cross-sectional study.

Psychiatric nurses often encounter patients with mental health disorders and consequently experience prolonged periods of high stress, increased workload, and frequent incidents of workplace violence. These aspects can lead to a higher incidence of poor sleep quality. This study examined the interplay between workplace violence and emotional labour (surface and deep acting) to suggest measures for enhancing sleep quality among psychiatric nurses. A total of 300 completed and valid online questionnaires were collected. The Pittsburgh Sleep Quality Index was used to measure sleep quality, Workplace Violence Scale (WVS) to measure the occurrence of workplace violence, and Emotional Labour Scale to measure surface and deep acting. The data were analysed using Hayes' PROCESS macro with SPSS. Independent samples t-tests and one-way ANOVA were used to compare differences in sleep quality and emotional labour (surface and deep acting) between psychiatric nurses with different demographics. The prevalence of poor sleep quality (PSQI > 5) was 55% among the nurses. Surface acting in emotional labour partially mediated the relationship between workplace violence and sleep quality(a1*b1=0.035,95%CI: 0.002, 0.079), whereas deep acting had a suppressive effect(a2*b2=-0.033,95%CI: -0.071, -0.003). Occupational identity had a positive moderating effect on the relationship between workplace violence and surface acting(Effect=0.091,95%CI: 0.004, 0.179). The relationship between workplace violence and poor sleep quality was partially mediated by surface acting and suppressed by deep acting. Moreover, nurses with higher occupational identity engaged in more surface acting after workplace violence. Workplace violence, surface acting, and deep acting emerged as significant factors influencing sleep quality among psychiatric nurses. Deep acting can reduce the impact of workplace violence on sleep quality. The results provide a new and expanded view of the interplay between workplace violence and emotional labour concerning sleep quality. Interprofessional collaboration with clinicians, administrators, educators, and spiritual leaders can contribute to the development of related education and training. Chinese Clinical Trial Registry ChiCTR2200062347. https://www.chictr.org.cn/showproj.html?proj=173264.

Sleep quality and associated factors in adults living in the southern Brazil: A population-based study

ObjectiveTo analyze sleep quality and associated socio-demographic and lifestyle factors in participants from a city originally colonised by Germans in southern Brazil. MethodsA cross-sectional population-based study of 2333 individuals aged 20 to 79 years. Data was collected by interview using a structured questionnaire. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The prevalence of poor sleep quality (PSQI score five or more) was estimated and the associations with study variables were measured by crude and adjusted prevalence ratios using Poisson regression. Resultsparticipants were mostly women (50.9 %), with an average age of 43.3 years. The median total PSQI score was 4 (IQ = 3-7). The frequency of poor sleep quality was 32.7 % (95 % CI 30.7-34.4), higher in older adults (44.0 % vs 30.7 %; p<0.001) and women (40.0 % vs 25.2 %; p<0.001). Multivariate analysis showed that women (PR = 1.3; 95%CI 1.1- 1.5; p<0.001), former smokers (PR = 1.2; 95%CI 1.0-1.4; p = 0.014), current smokers (PR = 1.3; 95%CI 1.1-1.5; p = 0.006), depression (PR = 1.5; 95%CI 1.3-1.7; p<0.001), taking 5 or more medications (PR = 1.2; 95%CI 1.1-1.4; p = 0.001), self-perceived fair health (PR = 2.1; 95%CI 1.8-2.4; p<0.001) or poor/very poor health (PR = 2.6; 95%CI 2.1-3.1; p<0.001) were risk factors for poor sleep quality. Germanic culture (PR = 0.8; 95%CI 0.7-0.9; p<0.001), high school (PR = 0.8; 95%CI 0.6–1.0; p = 0.046) or elementary school (PR = 0.7; 95%CI 0.6-1.0; p = 0.025) or being at work (RP = 0.8; 95%CI 0.7-0.9; p = 0.002) were inversely associated with poor sleep quality. ConclusionsWomen, older adults and some clinical, social, cultural and behavioural conditions are associated with poor sleep quality.

Sleep Quality Assessment and Its Predictors Among Saudi Adults with Type 1 and Type 2 Diabetes: A Cross-Sectional Study

Background: Poor sleep quality is prevalent among adults with diabetes, impacting their physical, psychological, and functional well-being. Our goals were to assess the prevalence of poor sleep quality and its association with glycemic control and to identify predictors of poor sleep quality among adults with diabetes mellitus. Methods: This cross-sectional study took place at a tertiary hospital, from October 2022 to March 2023, including 192 adults with type 1 and type 2 diabetes. We collected demographic and clinical data and utilized the Pittsburgh Sleep Quality Index (PSQI) scale to evaluate sleep quality. Results: A total of 65.9% of the participants experienced poor sleep quality (PSQI score &gt; 5), with an average global sleep quality score of 7.36 ± 3.53 for all patients. Poor sleep quality was higher among older and married patients, those with lower education levels, housewives, and those with type 2 diabetes mellitus and associated comorbidities, such as hypertension and dyslipidemia. None of these factors were significantly associated with sleep quality in a multiple linear regression analysis. The mean glycated hemoglobin was 8.68 ± 1.91% and did not correlate with the overall PSQI score and its components. Conclusions: This study revealed a notably high prevalence of poor sleep quality among Saudi adults with diabetes, potentially associated with specific sociodemographic and clinical factors. These findings emphasize the importance of integrating sleep quality education into diabetes management strategies.

Sleep Quality in Parkinson Disease: Clinical Insights and PSQI Reliability Assessment

AbstractSleep disturbances are prevalent in Parkinson disease (PD), encompassing a spectrum from parasomnias like REM sleep behavior disorder to symptoms of sleep-wake cycle dysregulation, such as insomnia and daytime sleepiness. This research investigates sleep quality in PD patients compared with a matched healthy control group and explores the relationships between PD clinical characteristics and sleep parameters. Additionally, the study assesses the reliability of the Pittsburgh Sleep Quality Index (PSQI) for PD patients by examining internal consistency. The study comprises 52 participants, 27 in the PD group and 25 in the healthy control group, matched for sex and age. Sleep quality revealed that PD patients experienced significantly poorer sleep quality than the control group (p = 0.009). Weak correlations were found between PSQI scores and the modified Hoehn and Yahr scale (p = 0.062), with no correlation observed with the daily equivalent dose of levodopa (L-DOPA). The prevalence of poor sleep quality (PSQI score &gt; 5) was 85.1% for PD patients and 68% for the control group. The internal consistency analysis of the PSQI yielded a Cronbach's α of 0.588 for the PD group. While the PSQI demonstrates utility in detecting general sleep abnormalities and gauging patient perceptions of sleep quality in PD, its limitation as a global score is emphasized. The index prioritizes sleep habits and may not fully capture important sleep disorders in this population. These findings underscore the complex relationship between PD and sleep quality, suggesting the need for a comprehensive approach to assess and address sleep disturbances in PD patients.

Sleep quality and sex-related differences in an older adult population: a web-based cross-sectional study

Introduction: Aging has significant economic and social implications leading to an increase in chronic diseases and reduced autonomy of the elderly. Sleep disorders are common in the elderly, manifesting reduced sleep quality. Objective/Purpose: The study aimed to measure the prevalence of sleep disorders in older adults and assess sex differences in sleep quality and sleep problems. Method: A cross-sectional study based on an online survey was performed according to the STROBE checklist, using pre-validated questionnaires (Pittsburgh Sleep Quality Index) distributed to a sample of older adults. This is the first study evaluating sex differences in sleep quality and problems in the Italian population context using the Pittsburgh Sleep Quality Index assessment tool. The study was conducted in a university hospital in Rome from October 2020 to November 2020, on patients aged &gt;65 years, independent in activities of daily living, with comorbidities and on treatment with up to 2 medications. Results: 59 patients were included in the study, with an average age of 71.12 years. The results show that among males, the prevalence of poor sleep quality was 51.9%, while among females, the prevalence of poor sleep quality was 62.5%. According to Shapiro-Wilk, the Pittsburgh Sleep Quality Index was not normally distributed. Pittsburgh Sleep Quality Index total scores in males did not differ significantly from females. Conclusions: Considering scientific literature, recent studies have highlighted the prevalence of sleep disorders in the elderly population and their underreporting. Providing early intervention not only improves the sleep quality of these people but may also reduce the risk of experiencing adverse health outcomes and susceptibility to frailty.

Docosahexaenoic Acid and Sleep Quality in Very and Extreme Preterm Infants.

The results regarding the association of plasma docosahexaenoic acid (DHA) levels with sleep duration conflict. This study aimed to investigate the effect of oral administration of DHA on the sleep quality of Brazilian extreme preterm infants. This cohort study is part of the Joinville Docosahexaenoic Acid Study (JoiDHA) conducted with 59 infants in Joinville, Brazil. Sleep quality was assessed using the Brief Infant Sleep Questionnaire, which consists of 12 questions about the quality of sleep the week prior to its application and was answered by the parents/guardians. Of the 59 children who participated in the study, 37 (62.7%) were supplemented with DHA and 22 (37.3%) did not receive DHA. The prevalence of poor sleep quality was higher among children with the weight status at birth <50th percentile (68.2%; p = 0.045) when compared to children ≥50th percentile. However, Poisson regression analysis showed that neither weight status at birth nor DHA use was associated with sleep quality, even after adjusting for the same variables. In summary, sleep quality 12-24 months after birth was not associated with DHA supplementation in very and extreme preterm infants. Additional studies that address the increase in DHA intake would be important for the understanding of the effect of this fatty acid on sleep quality.

Sleep quality disparities in different pregnancy trimesters in low- and middle-income countries: a systematic review and meta-analysis

IntroductionSleep is a crucial determinant of maternal and fetal health, significantly impacting the well-being of both the mother and her developing fetus. Poor sleep quality, characterized by difficulties in falling asleep or staying asleep, can cause poor pregnancy outcome. Conversely, studies came with inconsistent result in the prevalence of poor sleep quality in different trimester of pregnancy. Therefore, this systematic review and meta-analysis study aimed to compare the prevalence of poor sleep quality in different trimesters.MethodA systematic review and meta-analysis were done on published studies. Electronic data base search was done from PubMed, Hinari, Medline and Google Scholar. Data were extracted with Excel and the analysis were done using STATA version 17. Publication bias was assessed both graphically and statistically. I-square test was used to identify heterogeneity.ResultIn this meta-analysis, 38 studies that measured poor sleep quality using the Pittsburg Sleep Quality Index (PSQI ≥ 5) were included. The pooled prevalence of poor sleep quality was identified as 37.46% (95% CI: 29.26, 45.67) in the first trimester, 47.62% (95% CI: 42.23, 53.02) in the second trimester, and 60.05% (95% CI: 51.32, 68.78) in the third trimester.ConclusionThis study identified a significant discrepancy in the prevalence of poor sleep quality, which increases as gestational age advances. Therefore, this discrepancy should be addressed, and additional support should be provided to pregnant women to help them achieve adequate sleep, especially as gestational age advances.

The Relationship Between Poor Sleep and Memory Impairment Among Shift Nurses in China: A Cross-Sectional Study.

Many shift nurses experience poor sleep quality, and the effect on nurses' cognitive function remains unclear. The study aims to investigate sleep status and explore its association with cognitive function. This descriptive cross-sectional study was conducted in a tertiary care hospital in Fujian, China between March and September 2022. By convenience sampling method, 588 shift nurses participated in this study. The Pittsburgh Sleep Quality Index (PSQI) and Bergen Shift Work Sleep Questionnaire (BSWSQ) were used to assess sleep quality, while the Chinese version of Ascertain Dementia-8 (AD-8) was used to evaluate cognitive function. A PSQI score ≤7 is classified as good sleep quality, and a score >7 indicates poor sleep quality. An AD-8 score≥ 2 is considered indicative of memory impairment. Multivariate logistic regression analysis was conducted to explore the association between sleep status and memory impairment. A total of 310 (52.6%) participants presented poor sleep quality. Among them, 52.2% of participants had day shift-related sleep problems, 45.9% had evening shift-related sleep problems, 61.9% had night shift-related sleep problems, and 15.0% reported rest-day/vacation-related sleep problems. The prevalence of poor sleep quality and each shift-related sleep problem in the memory impairment group were higher than in the normalmemory group (P<0.05). Multivariate logistic regression analysis indicated that poor sleep quality (OR=2.073, 95% CI: 1.398~3.072), evening shift-related sleep problems (OR=1.707, 95% CI: 1.028~2.835), night shift-related sleep problems (OR=1.859, 95% CI:1.104~3.129), and rest-day/vacation-related sleep problems (OR=2.069, 95% CI:1.170~3.659) was significantly associated with memory impairment. This study highlights the prevalence of poor sleep quality among clinical nurses and identifies poor sleep quality and shift-related sleep problems (excluding day shift) as risk factors for memory impairment. Nurse managers should prioritize sleep quality and focus on cognitive function to enhance nurses' occupational health.

Assessment of Quality of Sleep and Daytime Sleepiness in Medical Professionals and Students in a Medical College: A Descriptive Cross-Sectional Study

Introduction: Poor sleep quality is a global public health issue particularly more prevalent in medical professionals and students. Despite various health and occupational risks, research is still lacking regarding the quality of sleep and its irelated factors among medical professionals and students in our region. Therefore, our study aimed to estimate the prevalence of poor sleep quality in this population.Methods: This observational, cross-sectional study was conducted among medical professionals and students of Devdaha Medical College from December 2023 to June 2024 after ethical approval from the Institutional Review Board. Data regarding sleep quality and excessive daytime sleepiness were collected using the Pittsburg Sleep Quality Index (PQSI) and Epworth Sleepiness Scale with pre-made questionnaires in Google Forms.Results: Among 395 participants, 260 (65.83%) were in the age group 20-25 years and 200 (50.63%) were nursing students. The prevalence of poor sleep quality was 146 (36.96%; 95% CI: 32.19%-42.93%) and the global mean score of PSQI was calculated to be 5.12. Out of the total participants, 255 (64.55%) had excessive daytime sleepiness, 84 (21.26%) participants had one or more sleep problems out of which, snoring was in 40 (10.12%) participants.Conclusions: About one-third of the study population poor sleep quality and day time sleepiness was reported in more than half of the respondents.

Quality of sleep after COVID-19 infection: a cross-sectional study in the Southern Italy.

This study investigated the quality of sleep in a sample of individuals from Southern Italy after the major waves of the COVID-19 pandemic, with the aim of evaluating how sleep patterns changed. A cross-sectional study was conducted between March 2022 and January 2023 and involved adults who had a COVID-19 infection, who were invited to complete a self-administered online questionnaire. A total of 408 individuals participated in the survey. Overall, 66.4% had a reduction in social relations; 72.1% had an increase in the use of social media; and 86%, 77.2%, and 71.1% reported an extremely severe level of anxiety, stress, and depression, respectively. Almost all of the respondents had a Pittsburgh Sleep Quality Index score (PSQI) ≥5, indicating poor sleep quality. Subjects with a severe or extremely severe depression score, a severe or extremely severe stress score, who had a job, and who had someone close who died because of a COVID-19 infection were more likely to have a high PSQI global score. The use of sleep medication in the past months was significantly higher in those who were older, who had a job, who had a COVID-19 infection in the first and second waves, who had someone close who died from COVID-19, and who did not have changes in social relationships during the pandemic. Moreover, participants with severe or extremely severe depression scores, with severe or extremely severe stress scores, who were women, and who were older had troubles staying awake while engaging in social activities during the past month. The results bring to light the high prevalence of poor sleep quality among individuals who were infected with SARS-CoV-2. Future research is needed to understand whether these disturbances are still present in the endemic period and whether it is necessary to investigate further determinants that have affected and/or are affecting sleep quality.

SP5.6 - Sleep Quality and Barriers to Sleep on a Postoperative Surgical Ward

Abstract Aim Sleep is an essential part of recovery post-operatively and poor sleep quality has been linked to increased patient pain, increased rates of post-operative complications such as delirium and to longer hospital stays. It is widely accepted that adults need at least seven hours of sleep at night. Surgery can induce a degree of insomnia and thus we sought to identify quality of sleep on a postoperative general surgical ward and to identify common barriers to sleep and reasons patients experience interruptions to sleep. Methods Using patient questionnaires, we investigated quality of sleep and explored factors, both intrinsic and extrinsic, which influenced patients both falling asleep and being woken throughout the night. Results Average age of participants was 73yrs. Average length of sleep was only 5.4 hours. 89% patients reported having sleep interrupted throughout the night and on average patients were awoken 2.4 times throughout the night. Only 11% reported feeling refreshed in the morning after sleep. Noise and pain were the most common barriers identified to falling asleep affecting 73% of patients. The predominant reasons for being awoken from sleep were noise (94%), interruptions for observations/bloods (67%) and thirst (33%). Conclusions This study has identified a high prevalence of poor sleep quality in postoperative surgical patients. Common factors influencing this are noise, pain and interruptions by medical staff. Many of these can be addressed through simple interventions to promote better recovery of patients by recognising and supporting the need for high quality sleep.

Sleep Quality and its Associated Factors among Nurses in a Tertiary Care Public Hospital in Puducherry District: A Cross-sectional Study.

Adequate sleep is essential for human beings to maintain optimal health. Medical professionals, including nurses, work in stressful environments that could affect their sleep quality. The objective of this study was to determine the prevalence and the factors associated with poor sleep quality among nurses in a tertiary care public hospital. This cross-sectional analytical study was conducted on 1217 nurses aged between 21 and 60 years from May 2019 to April 2020 in a tertiary care public hospital in Puducherry. Sleep quality was assessed using the Pittsburgh sleep quality index scoring system, and the workplace stress scale was used to assess workplace stress. The Chi-squared test and adjusted Prevalence Ratio (aPR) were used to determine the factors associated with poor sleep quality. The response rate was 99% (1217/1229), and three-fourths of the participants were women (943, 77.50%). The mean (SD) PSQI score was 4.49 (2.98), and more than one-third of participants, 42.80% (95% CI: 40.10-45.70), had poor sleep quality. The prevalence of poor sleep quality was significantly higher among women (z = 2.33, p = 0.019) aPR (95% CI): 1.08 (1.01-1.16), those having severe to dangerous levels of workplace stress (z = 8.22, p > 0.001) aPR (95% CI): 1.54 (1.39-1.71) and chronic pain (z = 2.11, p = 0.016) aPR (95% CI): 1.09 (1.02-1.17). The prevalence of poor sleep quality among the study population was high. This highlights the urgent need for implementing health promotion programs among nurses.

The Impact of SARS-CoV-2 Infection on Sleep, Daytime Sleepiness, and Depression-Longitudinal Cohort Study.

Background and Objectives: COVID-19 disease, caused by the SARS-CoV-2 virus, has presented significant challenges to global health, with acute and chronic implications for various aspects of well-being, including sleep and quality of life. This study aimed to investigate the impact of SARS-CoV-2 infection on sleep quality, daytime sleepiness, and quality of life in hospitalised and home-treated patients after three and six months. Materials and Methods: A longitudinal cohort study was conducted, enrolling hospitalised patients from a single clinical university hospital and home-treated participants through a survey spread through social networks. Individuals who had tested positive for the SARS-CoV-2 virus in the past three months and had a symptomatic course of the disease were included in the study. Participants with previously diagnosed sleep disorders were excluded from the study. Participants were evaluated using internationally validated self-evaluation scales, including the Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Patient Health Questionnaire-9 (PHQ-9) and Fatigue Severity Scale (FSS). Data were collected three and six months after laboratory-confirmed SARS-CoV-2 infection, with informed consent obtained from all participants. Statistical analysis was performed using the Wilcoxon signed rank test, Fisher-Freeman-Halton exact, Pearson Chi tests and Spearman correlation. Results were considered statistically significant with p value < 0.05. Results: In total, 66 participants with a mean age of 44.05 ± 21.61 years were enrolled in the study. Most patients (n = 36) were treated at home and 30 at hospital. Six months after SARS-CoV-2 infection, home-treated patients reported a higher prevalence of poor sleep quality (52.8%, n = 19, p = 0.015, PSQI) and hospitalised patients showed a lower prevalence of depressive symptoms (p < 0.001, PHQ-9) as 90% (n = 27) had minimal or no symptoms compared to 30.6% (n = 11) in a home-treated group. Conclusions: These findings mark the importance of the COVID-19 patients' management settings as people treated at home had worse sleep quality and more depressive symptoms six months after infection indicating worse life quality.

Prevalence of poor sleep quality during menopause: a meta-analysis.

Numerous researches have demonstrated that sleep quality deteriorates during menopause, but the prevalence rates vary between studies. The purpose of this meta-analysis was to determine the pooled prevalence of poor sleep quality during menopause and to explore potential moderators of discrepancies in prevalence between studies. Web of Science, PubMed, PsycINFO and Embase databases were comprehensively searched from database creation to June 19, 2024. Studies were included if they focused on menopausal women and provided an estimate of the prevalence of poor sleep quality, which could be derived from the Pittsburgh Sleep Quality Index (PSQI). Totally, 37 studies with 29,284 menopausal women were included in the analysis. A meta-analysis based on a random-effects model revealed that the prevalence of poor sleep quality during menopause was 50.8% (95% CI: 45.4-56.3%). The PSQI score was 6.24 (95% CI: 5.73-6.75). Subgroup analyses indicated that cut-off values of PSQI, menopausal status, age range, depressive symptoms and geographic region moderated the prevalence of poor sleep quality. Meta-regression analyses indicated that quality score was negatively correlated with the pooled prevalence. Poor sleep quality is a prevalent phenomenon among women during menopause. In light of the numerous adverse effects of poor sleep quality on menopausal women, it is of paramount importance to assess sleep quality on a regular basis and to implement effective interventions for menopausal women.

The relationship between adolescents' physical activity, circadian rhythms, and sleep.

To explore the correlation between physical activity, circadian rhythms, and sleep in adolescents, and analyze the influencing factors of sleep quality in this population. A total of 381 high school students were selected through cluster sampling in a specific high school. The Pittsburgh Sleep Quality Index (PSQI) was employed to categorize the participants into a good sleep quality group (n=199) and a poor sleep quality group (n=182). Comprehensive assessments were conducted using the Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA), PSQI, Morningness-Eveningness Questionnaire-5 (MEQ-5), and International Physical Activity Questionnaire Short Form (IPAQ-SF). The prevalence of poor sleep quality is 47.8%. The BMI in the poor sleep quality group is higher than that in the good sleep quality group, and the male ratio is lower than that in the good sleep quality group. The poor sleep quality group exhibits significantly higher levels of depression, anxiety, evening chronotype, and low physical activity compared to the good sleep quality group.Spearman rank correlation analysis revealed a positive correlation between the PSQI total score and HAMA and HAMD scores, and a negative correlation with physical activity and MEQ-5 scores. Binary logistic stepwise regression analysis identified lack of physical activity, eveningness chronotype, anxiety, and depression as risk factors for poor sleep quality. Adolescent sleep quality is correlated with gender, BMI, anxiety, depression, chronotype, and physical activity levels. The findings highlight the importance of considering these factors in interventions aimed at improving sleep health in adolescents.

Sleep quality and associated factors among people who inject drugs in Iran: a nationwide survey using respondent-driven sampling

BackgroundPoor sleep quality is a significant issue among people who inject drugs (PWID). This study aimed to evaluate sleep quality and associated factors among PWID in Iran.MethodsUsing respondent-driven sampling, 2,652 PWID (2,563 male) were recruited in 11 major cities in Iran between 2019 and 2020. The Pittsburgh Sleep Quality Index was utilized to measure sleep quality, and logistic regression was used to assess associations in RDSAnalyst, a software designed for respondent-driven sampling.ResultsThe overall prevalence of poor sleep quality was 68.4% (68.3% among males and 70.2% among females). Married PWID had higher odds of poor sleep quality (Adjusted Odds Ratio (AOR): 1.41; 95% CI: 1.05, 1.91). Lack of access to sufficient food in the past 12 months was also associated with poor sleep quality (AOR: 1.73; 95% CI: 1.17, 2.57 for sometimes having no access, and AOR: 2.95; 95% CI: 1.93, 4.52 for always having no access compared to always having access). Additionally, good self-rated health was significantly associated with lower odds of poor sleep quality (AOR: 0.19; 95% CI: 0.11, 0.31).ConclusionPoor sleep quality is prevalent among PWID in Iran. It is recommended to mitigate the adverse effects of this issue and enhance the overall quality of life for PWID. Supportive interventions aimed at preventing and treating poor sleep quality, as well as improving overall health outcomes, are essential.

Assessment of Physical Activity and Sleep Quality Among Doctors and Medical Students: A Cross-Sectional Study From South India.

Sleep quality is critical for medical professionals and students, who often face sleep disturbances due to demanding schedules. This study explores the association between physical activity and sleep quality among doctors and medical students in Tamil Nadu, India, addressing a notable gap in existing research. This cross-sectional study was conducted in Tamil Nadu, India, targeting doctors and medical students. Participants were recruited through an online Google Forms (Google LLC,Mountain View, California, United States) questionnaire distributed via social media platforms, which included the International Physical Activity Questionnaire (IPAQ) and the Pittsburgh Sleep Quality Index (PSQI) which provided measures of physical activity in MET (Metabolic Equivalent of Tasks) minutes/week and comprehensive sleep quality assessments, respectively, with a PSQI score above 5 indicating poor sleep quality. Data analysis was performed using jamovi version 2.2.2. In this study of 222 participants, predominantly young adults (80% were aged 18-40) and medical students (68.6%), we found a high prevalence of poor sleep quality (74.9%). Physical activity levels varied, with only 5.4% engaging in high levels of activity and no significant association between physical activity level and sleep quality (p=0.659). Additionally, while males showed significantly higher MET scores than females (p < 0.001), there was no significant correlation between MET scores and PSQI scores (p=0.205, r=-0.075). This study highlights a high prevalence of poor sleep quality and a low prevalence of high physical activity among medical professionals and students in South India. The study findings underscore the need for targeted interventions to enhance sleep quality and overall well-being in this demographic.

Association Between Sleep And Depression In Older Adults: A Cross-Sectional Study From The ELSI-Brazil Cohort

Background: The relationship between depression and sleep is bidirectional, but sleep disturbances may precede depressive episodes. Joo et al. (2022) found that men and women from a Korean population with poor sleep quality are seven times more likely to be depressed. This study aims to replicate the previous model in the ELSI-Brazil population considering potential cross-cultural differences. Methods: A cross-sectional analysis of Wave 2 of ELSI-Brazil (2019–2021) was performed including 6365 participants aged 50 or older. Demographic, socioeconomic, and health-related characteristics were described. Multivariable logistic regression was used to analyze the association between depression and poor sleep quality. Results: The prevalence of poor sleep quality in this elderly population was 15.6%. Patients with poor sleep quality were four times more likely to be depressed. A significant interaction was found between sex and sleep quality in the association with depression (p=0.04). The adjusted model stratified by sex found that men and women with poor sleep quality were three (OR = 3.11 [95% CI 2.39–4.05]) and four (OR = 4.39 [95% CI 3.60–5.35]) times more likely to be depressed respectively. Conclusion: We found a significant sleep-depression association among Brazilian elders, particularly impacting women. Gender-specific interventions for sleep-related mental health are crucial. Despite limitations, the study provides valuable insights emphasizing the need for tailored public health measures, especially in nursing homes, to prevent depression and improve the quality of life in this vulnerable group.

Quality of sleep among hypertensive patients attending a rural health training centre.

Sleep is a vital biological, reparative, and restorative phenomenon, and poor sleep has a serious detrimental effect on health. Poor sleep quality is a serious problem as it adversely affects a person's ability to function physically and socially, as well as their potential for profession and quality of life. The degree of hypertension directly affects sleep quality, and poor sleep can exacerbate hypertensive symptoms. This study assesses hypertension patients' sleep quality in a rural health training centre in Chennai. 1. To study the prevalence of poor sleep quality among hypertensive patients. 2. To determine the association between selected socio-demographic factors and sleep quality among these patients. Hypertensives attending the outpatient department of a rural health and training centre were selected in a systematic manner and administered a semi-structured interview schedule and the Pittsburgh Sleep Quality Index (PSQI) questionnaire followed by a basic clinical examination. Using the PSQI, they were categorised as having either poor or good sleep quality and the association between selected socio-demographic factors and sleep quality was assessed. Out of the 179 study participants, there were almost equal numbers of male and female participants. The mean age of participants was 57.80 years (standard deviation (SD) = 9.8 yrs.). Among the study participants, 44.13% had completed secondary level of school as an education qualification and 6.70% were illiterate. By the modified BG Prasad classification 2022, most of the study participants (34.08%) came under the class II socioeconomic classification. A large proportion (78.8%) of study participants had poor sleep quality. The difference in sleep quality was observed with respect to gender, socio-economic class, alcohol consumption and body mass index (BMI). This observational study shows that individuals with hypertension suffer significantly from poor sleep. A poor quality of sleep was reported by 78.77% of the patients in this study. Statistically significant factors that influenced sleep quality were gender, alcohol consumption and BMI.