High Prevalence Of Sleep Disorders Research Articles

Social and environmental determinants of sleep health disparities

Abstract Sleep is not equitable. Historically minoritized individuals have a high prevalence of sleep disorders and adverse sleep health. Research supports that social determinants of health are contributing to sleep health inequities. Further, sleep is socially patterned. Neighborhoods with high rates of crime, violence, disadvantage, pollution, inopportune light exposure, and noise, where historically minoritized individuals are most likely to live are associated with adverse sleep health and sleep disorders. Social determinants including discrimination, racism, socioeconomic status, lack of access to care are associated with adverse sleep health, particularly among minoritized individuals. While there is an abundance of evidence identifying risk factors for adverse sleep health, evidence also supports factors that promote healthy sleep. A small but growing literature supports that neighborhood social environment is associated with healthy sleep and may be avenue for addressing sleep disparities. Dr. Johnson will present epidemiologic data on the social and environmental determinants of adverse sleep health using a socioecological framework and discuss the mechanisms by which these factors are contributing to sleep disparities. The goal is to identify these factors, and how they can be utilized to address sleep health disparities.

Does the volume of physical exercise influence sleep quality in patients with fibromyalgia?

To investigate the association between the volume of exercise and the quality of sleep in patients with fibromyalgia. This is a cross-sectional study carried out from 2010 to 2019 in patients over 18 years old from the research project at a university in Brazil. Instruments related to sociodemographic and clinical characteristics, physical exercise, and the Pittsburgh Sleep Quality Index (PSQI) were applied. Participants were classified as inactive, insufficiently active, or active. In the statistical analysis, the Kruskal-Wallis and Mann-Whitney U tests were used. Binary logistic and multinomial regression were also performed. The majority of participants were physically inactive and had poor sleep quality; 68.3% with poor sleep quality were inactive. In the analysis of the difference between the three groups, sleep latency (time it takes to fall asleep) (p=0.00) and total PSQI (p=0.04) were significantly different. When the analysis was performed between active and inactive individuals, significant differences were found in sleep latency (p=0.02), daytime dysfunction (difficulties in performing daytime tasks due to poor sleep quality) (p=0.02), and the total PSQI (p=0.02). Binary logistic regression with crude analysis showed that inactive participants are 4.3 times more likely to have poor sleep quality when compared to active participants (odds ratio = 4.311; 95% confidence interval 1.338-13.888; p=0.014). Multinomial regression analysis showed that being physically active can be a protective factor. There is a high prevalence of sleep disorders and insufficient practice of physical exercise among patients with fibromyalgia. It is suggested that regular physical exercise may be related to sleep quality, and more active participants have fewer sleep disorders, with exercise being a protective factor.

Sleep disorders among frontline nurses after the COVID-19 outbreak: a large-scale cross-sectional study.

This large-scale cross-sectional multicenter study aims to investigate the prevalence of sleep disorders among frontline nurses in China after the COVID-19 pandemic and to identify potential influencing factors contributing to these sleep disturbances. A total of 2065 frontline nurses from 27 provinces in China participated in an online survey conducted through the Wenjuan Xing platform. Data on demographic characteristics, work-related factors, and mental health assessments, including the Pittsburgh Sleep Quality Index (PSQI), Zung Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS), were collected. Statistical analyses, including chi-square tests, t-tests, binary logistic regression, and ROC analysis, were conducted to explore the relationships between various factors and sleep disorders. Over half (52.7%) of the surveyed nurses exhibited sleep disorders, reflecting a considerable post-pandemic impact on sleep quality. Factors such as nursing titles, personality traits, COVID-19 infection status, and exercise frequency showed statistically significant associations with sleep disorders. Extraverted nurses and those who had recovered from COVID-19 displayed a lower risk of sleep disorders, while anxiety was identified as an independent risk factor. The study also identified a nuanced relationship between exercise frequency and sleep quality. The study highlights a high prevalence of sleep disorders among frontline nurses post-COVID-19, emphasizing the need for targeted interventions. Factors such as nursing titles, personality traits, COVID-19 infection status, exercise habits, and anxiety levels were found to influence sleep quality. Comprehensive support strategies addressing these factors are essential for improving the overall well-being of frontline nurses and, subsequently, sustaining a resilient healthcare workforce. Further research is recommended to explore additional influencing factors and consider diverse nurse populations.

High Ambient Temperatures Increase Outpatient Visits for Sleep Disorders in Hefei City, China

Objective: To analyze the impact of ambient temperature on the quantity of outpatient clinic visits for sleep disorders. Methods: Using data from sleep disorder outpatient visits in a large tertiary hospital in Hefei City, a distributional lag nonlinear model combined with a generalized Poisson regression model was used to analyze the relationship between ambient temperature and the number of outpatient visits for sleep disorders. Results: Ambient temperatures above 17.2℃ were found to be connected with a higher prevalence of sleep disorders visits, and that this relationship was most significant on day 8, which lasted for 7 days. For the single-day lagged impact, the maximum relative risk (RR) for moderate heat (75th percentile) was 1.077 (95% CI: 1.015–1.143). The cumulative lag effect was substantially greater than the single-day lag effect, with a maximum relative risk (RR) of 2.609 (95% CI: 1.306–5.212). The longest lag time was 14 days. The RR was similarly greater in women and those over 40. Outpatient visits for men with sleep disorders were not affected by ambient temperature in a statistically significant way. Conclusion: High ambient temperature raises the risk that patients will visit an outpatient facility and serves as a risk factor for sleep disorders. Patients who were 40 years of age or older and women were at vulnerability.

Long sleep duration is associated with abdominal aortic calcification among male adults with chronic kidney disease: NHANES 2013-2014.

There are no studies exploring the correlation between sleep duration and abdominal aortic calcification (AAC). This study aims to investigate this relationship and its significance. Additionally, given the higher prevalence of sleep disorders and AAC in patients with chronic kidney disease (CKD), we conducted further studies in this population. We analyzed data from the National Health and Nutrition Examination Survey (NHANES) 2013-2014. Sleep duration was assessed by a sleep questionnaire and categorized into 2-5, 6-8, and ≥ 9h. The AAC-24 score is determined using the Kauppila scoring system and used for AAC assessment. Multivariable linear and logistic regression analysis were used to explore the relationship between sleep duration and AAC. Among the 2,996 participants, 14.29% reported nightly short sleep (2-5h), 77.64% reported intermediate sleep (6-8h), and 8.08% reported long sleep (≥ 9h). After adjusting for potential confounding factors, among male participants with CKD, long sleep (≥ 9h) significantly increased AAC-24 scores compared with intermediate sleep (6-8h) (β: 2.12; 95% CI: 0.75, 3.50), and the risk of severe AAC (SAAC) was increased by 1.55 times (OR: 2.55; 95% CI: 1.02, 6.36). And among female CKD and non-CKD participants, sleep duration was not associated with AAC. Long sleep duration increases the risk of AAC among male adults with CKD. Prospective studies are needed to confirm this finding.

A study on factors related to sleep disorders and serum BDNF expression levels in patients with primary Sjӧgren's syndrome.

We aimed to assess the sleep quality of patients with primary Sjögren's syndrome (pSS) and the associated factors. Moreover, Preliminary exploration of the clinical significance of serum brain-derived neurotrophic factor (BDNF) in pSS patients with sleep disorders. A self-report survey was administered to 111 pSS patients and 40 healthy individuals using the Pittsburgh Sleep Quality Index (PSQI) for sleep quality. General clinical information,the sleep quality and mental conditions were collected using on-site questionnaires and various scales. 40 healthy controls from the health examination center of the same hospital, who were age and sex matched. Detection of serum BDNF levels by ELISA method . Independent samples t tests, Chi-square analysis, logistic regression were used to analyze these data. Patients with pSS had higher scores on the PSQI than the healthy individuals. Abnormal sweating, high PHQ-9 and ESSPRI scores were independent risk factors for sleep disorders. pSS patients had lower serum BDNF than the healthy individuals, The area under the curve (AUC) of predicting sleep disorder in pSS patients using detection of serum BDNF level was 0.8470, and the sensitivity and specificity were 0.951 and 0.727, which were superior to PHQ-9 and GAD-7. Compared with the healthy individuals, pSS patients had a higher prevalence of sleep disorders and lower serum BNDF. Serum BDNF level demonstrated greater predictive advantage for sleep disorder in pSS patients.

Perceived Stress, but Not Rumination, Mediates the Relationship Between Trait Mindfulness and Sleep Quality in Young Adults.

Poor sleep among young adults is prevalent, yet the mediating variables are largely understudied, and there is limited relevant work utilizing objective sleep measures. The present study investigated the mediating effects of perceived stress and rumination in the relationship between trait mindfulness and subjective and objective sleep quality in young adults. A total of 170 healthy adults (aged 18-37, M = 20.8, SD = 2.9) self-reported on trait mindfulness, perceived stress, and rumination. The primary (N = 140) and secondary (N = 30) samples both completed the Pittsburgh Sleep Quality Index (PSQI) to assess subjective sleep quality. The secondary sample (N = 30) additionally provided sleep diaries, as well as wrist-worn actigraphy data for assessing objective sleep quality. A mediation analysis was conducted to assess the effect of trait mindfulness on sleep quality with perceived stress and rumination as mediators. Trait mindfulness was positively associated with better subjective sleep quality; this was fully mediated by perceived stress, b = -0.08, 95% CI [-.12, -0.06]. Rumination was negatively associated with subjective sleep quality but did not mediate the relationship between trait mindfulness and sleep quality, b = -0.01, 95% CI [-.03, 0.02]. Only trait mindfulness was correlated with diary-based sleep ratings, and none of the measures were associated with actigraphy-based sleep quality. This study indicates that perceived stress is an important mediator in the relationship between trait mindfulness and subjective sleep quality among young adults, rather than rumination. These findings have implications for mindfulness-based therapeutic approaches to address the high prevalence of sleep disorders among young adults, adding mechanistic detail to the literature.

Fizička aktivnost i kvalitet sna kod bolesnika lečenih hroničnim hemodijalizama

Introduction/Aim: Hemodialysis patients are often sedentary and experience a high prevalence of sleep disorders. In this study, we aimed to assess the level of physical activity and quality of sleep among patients on maintenance hemodialysis and assess the relationship between these issues. Material and Methods: Seventy-one hemodialysis patients filled in the International Physical Activity Questionnaire (IPAQ) and the Pittsburgh Sleep Quality Index (PSQI) to assess their level of physical activity and their quality of sleep, respectively. Basic demographic, clinical and treatment-related characteristics were obtained from an electronic medical data system, as well as the results of standard laboratory analyses. The results were analyzed with Student t-test, Pearson chi-square test, linear by linear association, and Spearman correlation. Results: Nearly half of the patients (46.5%) were poor sleepers with an overall PSQI of 5.7 ± 4.4. Older age was significantly associated with worse sleep quality (p=0.019). Patients reported low, moderate or vigorous levels of daily physical activity in 42.3%, 50.7% and 7% of cases, respectively. No statistically significant associations were noted between demographic characteristics, dialysis vintage, comorbidities and the level of physical activity. Distribution of good and poor sleepers was almost identical among patients with low and moderate physical activity (47% vs 53% and 50% vs 50% respectively), whereas patients with vigorous activity were mostly good sleepers (20% vs 80%), but the difference was not statistically significant (p=0.591). Conclusion: We observed no statistically significant association between the level of physical activity and quality of sleep in this cohort. Further research with a larger sample might additionally elucidate this issue.

Sleep disorders among South Indian computer professionals and the beneficial effect of blue light filters

Background: Prolonged exposure to light emitted from screen-based devices has been known to cause sleep disturbances. Although computer professionals have high screen exposure and screen exposure is known to cause sleep disturbances, there is no published literature on sleep disorders among computer professionals. Aims and Objectives: To find out the prevalence of sleep disorders among computer professionals in South India and their association with risk factors like screen time and duration of work. Material and Methods: Data were collected online from computer professionals working in South India using a structured questionnaire in Google Forms. The form contained questions on demographics, medical history, and the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Data were entered in Microsoft Excel and analyzed using SPSS 17. The chi-square test, odds ratio, Kruskal–Wallis test, and regression analyses were used. Results: The prevalence of sleep disorders among computer professionals in South India was found to be 63.3%. Sleep latency was found to be the most significant contributor to the total PSQI score. Significantly associated risk factors were daily and weekly work duration and daily screen time. Working for more than 8 h a day was found to be the single independent risk factor for 7.9% of those with sleep disorders. Using a blue-light filter was found to be protective. Conclusion: There is a high prevalence of sleep disorders among computer professionals. Interventions like monitoring the daily duration of screen exposure and total daily work hours and periodic evaluation of the sleep health of computer professionals are crucial to reducing morbidity and early mortality.

Incidence of Sleep Disturbances, Stress and Possible Bruxism Presence among Dental Students

Background: One of the most prevalent conditions in the population is bruxism, which is defined as the repetitive activity of the jaw muscles that involves clenching, grinding of the teeth, and jaw thrusting. There is no scientific evidence about the stress levels that dental students are subjected to and its relationship with waking and sleeping bruxism and its poor quality. Objective: To determine the relationship between the presence of waking or sleeping bruxism with the level of sleep quality and stress in students in the 3rd and 5th year of Dentistry and to analyze whether there are significant differences according to gender and between courses. Methods: An observational study was carried out based on data collection through surveys and a descriptive design. 125 students participated in the study by completing three questionnaires. These three variables to be studied were evaluated using the Pittsburgh Sleep Quality Index, Perceived Stress Scale and Self-reported Bruxism Questionnaire. Results: 3rd and 5th year undergraduate dental students presented a high prevalence of sleep disorders and a low prevalence of waking and sleeping bruxism. Statistically significant differences were found at the gender level and between courses. Conclusions: It is established that poor sleep quality and high levels of stress can have a negative impact on student concentration and performance as well as being part of the initiation and development of parafunctional habits.

Subjective Symptoms Linked to Sleep Duration: An Analysis from Japanese National Statistics.

There is a high prevalence of sleep disorders in Japan, and they are a factor in a decreased quality of life. The main objective of this study was to clarify the background factors of sleep disorders that affect sleep duration, such as subjective symptoms and working hours. We performed a cross-sectional study on the Japanese national statistics data. Answers from a household questionnaire were used to analyze risk factors for decreases in sleep duration. The subjects were a total of 3972 men and women aged 40-59 years, the age group that forms the core of the working population. For the analysis, a univariate analysis (contingency table) between sleep duration (two groups: sleep duration ≥ 6 h and <6 h) and 42 subjective symptoms was carried out. A multivariate analysis (binomial logistic regression) was conducted using sleep duration and subjective health assessment as objective variables, and odds ratios (ORs) adjusted for sex, working hours, and other factors were obtained. The univariate analysis by subjective symptom showed significant ORs for eight symptoms, including poor sleep quality (OR: 2.24), constipation (OR: 2.24), and dizziness (OR: 1.77). In the multivariate analysis, the model with sleep duration as the objective variable showed significantly adjusted ORs for four variables, including constipation (1.72) and poor sleep quality (1.66). The model with subjective health assessment as the objective variable showed significantly adjusted ORs for eight variables, including dizziness (4.18), while poor sleep quality (1.45) was not significant. The present results suggest the presence of subjective symptoms that may be inferred to be related to decreases in sleep duration.

Prevalence of Sleep Disorders Among the General Population of the Jazan Region of Southwest Saudi Arabia.

Sleep disorders impose a substantial burden on the global population, leading to an array of health complications. Understanding their prevalence and associated risk factors is crucial to formulating effective interventions. This study aimed to determine the prevalence and associated risk factors of sleep disorders among residents of the Jazan region of Saudi Arabia. This cross-sectional study conducted an online survey from December 2022 to March 2023. The sample comprised 670 respondents aged 18 years and older residing in Jazan. Demographic data, lifestyle habits, sleep patterns, and sleep disorder symptoms were assessed. The participants were predominantly women (62.2%), with an average age of 30.99 years and a normal body mass index. The analyses revealed that 28.8% of the respondents reported experiencing sleep disorders, and 13.4% particularly had obstructive sleep apnea. Nearly half of the participants reported having primary insomnia, excessive daytime sleepiness, and restless leg syndrome. Significant associations were found between sleep disorders and older age (p = 0.012), obesity (p = 0.043), short or thin neck (p = 0.034), smoking (p = 0.003), caffeine use (p = 0.001), existing health conditions (p = 0.001), medication use (p = 0.013), lack of daytime naps (p = 0.043), and frequent nighttime awakenings to urinate (p = 0.001). The most common self-reported reasons for nightly awakenings were urination, anxiety or stress, discomfort or noise, and health conditions. The findings suggest a high prevalence of sleep disorders among adults in Jazan, Saudi Arabia. Various demographic, lifestyle, and health-related factors are linked to these disorders. Therefore, targeted sleep health education and interventions could be instrumental in tackling this significant public health issue.

The association between wealth and sleep medication use in a nationally-representative sample of older Medicare beneficiaries.

Sleep disorders are common among older adults, leading to high prevalence of over-the-counter and prescription sleep medication use. Socioeconomically disadvantaged individuals have higher prevalence of sleep disorders. Frequent use of sleep medications can increase the risk of falls. Little is known about the association between wealth and sleep medication use in older adults. We conducted a cross-sectional analysis using a nationwide sample of 7603 Medicare beneficiaries (65+ years) from Round 1 (2011) of the National Health and Aging Trends Study. We measured self-reported wealth as the sum of assets (retirement savings, stocks/bonds, checking/savings accounts, business assets, and home value) minus liabilities (mortgage, credit card, and medical debt). Self-reported sleep medication use in the past month was categorized as frequent (5-7 nights/week), sometimes (1-4 nights/week), or never (0 night/week). We estimated differences in the prevalence of sleep medication use by quintiles of wealth using crude and adjusted binomial regression models. Individuals missing sleep medication information were excluded. Median wealth was $152 582 (IQR: $24 023-412 992). Sixteen percent reported frequent sleep medication use, 15% reported some use, and 70% reported no use. Frequent sleep medication use was more common in lower wealth quintiles (lowest: 20%, highest: 12%). Alternatively, some use was more common in higher wealth quintiles (lowest: 11%, highest: 18%). Results were similar after adjustment for demographic factors, anxiety, depression, and sleep disorders. In this study, less wealthy older adults had higher prevalence of frequent sleep medication use. This may lead to dependency or increased fall risk in this vulnerable population.

The effects of vitamin D on sleep quality and pregnancy symptoms in pregnant women: a randomized, tripled-blinded and placebo-controlled clinical trial

PurposeBecause of the importance of having enough sleep in life and health, this study aims to determine the effect of vitamin D supplementation on sleep quality and pregnancy symptoms (primary outcomes) and side effects (secondary outcome).Design/methodology/approachIn this triple-blind randomized controlled clinical trial, 88 pregnant women with gestational age of 8–10 weeks and serum vitamin D concentration less than 30 ng/ml were allocated into vitamin D (n = 44) and control (n = 44) groups by blocked randomization method. The vitamin D group received a 4,000 IU vitamin D pill, and the control group received a placebo pill daily for 18 weeks. Independent t-, Mann–Whitney U and ANCOVA tests were used to analyze the data.FindingsThe post-intervention mean (SD: standard deviation) of total sleep quality score in the vitamin D and placebo group were 1.94 (2.1) and 4.62 (1.71), respectively. According to the Mann–Whitney U test, this difference between the two groups was statistically significant (p < 0.001). The mean (SD) of pregnancy symptoms in the vitamin D and placebo groups was 23.95 (16.07) and 26.62 (13.84), respectively, and there was no significant difference between the two groups based on ANCOVA test (p = 0.56). Considerable side effects were not observed in any groups.Originality/valueThis study was conducted due to the contradictory results of the effect of vitamin D on sleep quality and the high prevalence of sleep disorders and pregnancy symptoms.

Prevalence of Sleep Disorders and the Effect of Sleep Health Education on Sleep Quality in Pregnant Women With Sleep Disorders.

Sleep quality affects pregnant women's health and quality of life. The aims of the study were to investigate the prevalence of sleep disorders and the effect of sleep health education on sleep quality in pregnant women with sleep disorders. To examine the frequency of sleep disorders among pregnant women, a cross-sectional study was conducted with an initial enrollment of 370 participants. Subsequently, 162 pregnant women were recruited for a pretest-posttest quasi-experimental design study. The intervention group (n = 82) performed sleep health education for four weeks and the control group (n = 80) received standard care. Sleep quality was assessed with Pittsburgh Sleep Quality. The prevalence of sleep disorder was 61.9 percent (CI 95% 56.85-66.69). It was determined that health education improved some sleep quality subscales including subjective sleep quality, sleep latency, sleep duration and habitual sleep efficiency, and sleep disturbances, daytime dysfunction, and global sleep quality. The difference was still significant after adjusting for the PSQI baseline (η2 = .311, P < .001). These findings provide evidence of a relatively high prevalence of sleep disorders in pregnancy. Therefore, screening for sleep disorders and providing supportive programs and models to improve sleep quality during pregnancy should be considered as part of prenatal care.

Do Sleep Disorders Influence the Prognosis and the Response to the Therapy in Enuretic Children?

The current study describes the prevalence of sleep disorders in enuretic children, playing as influencing factors in the response to treatment and risk of relapse. Data were collected from September 2020 to February 2021 in 114 children aged between 5 and 14 years, with a diagnosis of nocturnal enuresis and concomitant sleep disorders, referred to the Pediatric Unit, Campus BioMedico University, Rome. Enuretic children were subjected to an anamnestic and clinical assessment. Sleep disorders investigated were sleep apnea, sleep talking, snoring, bruxism, restless sleep, and somnambulism. Each patient was subjected both to pharmacological and to non-pharmacological treatments and monitored for 3 months to identify the presence of relapse. Patients were divided into 2 groups according to therapy response, and statistical analysis was performed to evaluate possible variables involved in enuresis relapse. A high prevalence of sleep disorders was documented: 8/114 children (7%) had sleep apnea, 47/114 (41.2%) had bruxism, 66/114 (57.8%) had snoring, 54/114 (47.3%) had sleep talking, 18/114 (15.7%) had restless sleep. Forty-three of 114 children (37.7%) had relapses: 21/43 (49%) relapses occurred in children with only 1 sleep disorder, while 22/43 (51%) relapses occurred in children with 2 or more sleep disorders. Lower risk of relapses was reported in children subjected to dual therapy. Sleep disorders were widely associated with nocturnal enuresis, acting as comorbidities in the clinical course of nocturnal enuresis. Combined therapy seems to be associated with a lower rate of relapse of enuresis in a 3-month follow-up. A multidisciplinary approach is required to improve patients' management.

Association of Qi-stagnation constitution and subjective sleep characteristics with mild cognitive impairment among elderly in community: A cross-sectional study

Depression and sleep disturbance are commonly reported in patients with mild cognitive impairment (MCI). However, it remains unclear whether Qi-stagnation constitution is still a risk factor for MCI before the older adults suffer from depression. Subjects from 34 community elderly day care centers in China. Intensive face-to-face interviews were conducted using tools such as Montreal cognitive function assessment, AD8 dementia screening questionnaire, Pittsburgh Sleep Quality Index(PSQI), and Traditional Chinese medicine constitution assessment scale. Multi-factor logistical regression was employed to analyze the association among subjective sleep quality, TCM constitution, and MCI. A total of 1,071 cases were analyzed in this study, including 314 patients with MCI. The probability of Qi-deficiency and Qi-stagnation suffering from MCI was 1.559 times and 1.706 times higher than that of the older adults without Qi-deficiency and Qi-stagnation, respectively (P<0.05). In the PSQI scale, individuals with MCI had poorer subjective sleep quality, longer sleep latency, shorter sleep duration, and aggravated daytime dysfunction (P<0.05) compared with those without MCI. The results of multi-factor logistical regression showed that sleep latency (OR=1.168), daytime dysfunction (OR=1.261), and Qi-stagnation (OR=1.449) were the risk factors for MCI; the OR of suffering from MCI in elder with sleep disturbance and Qi-stagnation was 2.581. (all P<0.05). MCI patients have a higher prevalence of sleep disorders and Qi-stagnation, and may show specific changes in their daytime and nighttime sleep characteristics, with the specific manifestations such as difficulty in falling asleep, easily waking up at night/ early morning, and daytime dysfunction, among others. Chinese Clinical Trial Registry ChiCTR2000039411

Prevalence of Sleep Disorder in Chinese Preschoolers: A National Population-Based Study.

This study provides data on the prevalence of clinical sleep disorders in Chinese preschoolers aged 3-5 years old and examined their sleep behaviours and problems with a nationally representative sample. A national population-based cohort study was conducted with 114,311 children aged 3-5 years old from 551 cities in China. Children's daily sleep hours and pediatric sleep disorders defined by the Children's Sleep Habits Questionnaire (CSHQ) were reported by parents. The estimated sleep disorder prevalence was 76.78% (95% CI:76.54%, 77.03%). Rates of specific disorders were as follows: Bedtime resistance (97.00%, 95% CI:96.90%, 97.10%), Daytime sleepiness (77.68%,95% CI:77.43%, 77.92%), Sleep duration (70.24%,95% CI:69.97%, 70.50%), Parasomnia (58.52%,95% CI:58.23%, 58.80%), Sleep anxiety (55.53%,95% CI:55.24%, 55.81%), Sleep onset delay (51.99%,95% CI:51.70%, 52.28%) Night wakings (30.37%,95% CI:30.10%, 30.63%) and Sleep-disordered breathing (21.86%, 95% CI: 21.62%, 22.09%). The prevalence of sleep disorder, daily sleep hours and rates of specific disorder varied across children of different sex and ages. A high prevalence of sleep disorder was found in Chinese preschoolers, and the specific sleep problems of Chinese preschoolers vary from other cultures. A local standard may be required when using the CSHQ to define sleep disorders in children in China. An in-depth investigation into the reasons for the high sleep disorder prevalence should be conducted and supportive intervention should be provided to preschoolers in China.

Prevalence of sleep disorders among first responders for medical emergencies: A meta-analysis.

BackgroundShift work and irregular work schedules among first responders have been associated with physical and psychological problems such as sleep disorders. We conducted the first meta-analysis to explore and estimate the prevalence of sleep disorders among first responders for medical emergencies.MethodsWe searched four databases: Web of Science, Psych Info, CINAHL, and PubMed. The Generalized Linear Mixed model (GLMM) was used to estimate the prevalence estimates of sleep disorders in R software and the DerSimonian-Lard random-effects model in Comprehensive Meta-Analysis was used to explore associated comorbidities for OSA and insomnia, presented as odds ratios (ORs) and confidence intervals (CIs). The Cochran's Q, τ2, and the statistics were used to assess heterogeneity and the moderator analysis was conducted to identify moderator variables.ResultsTwenty-eight studies with 100 080 first responders were included from the total of 1119 studies retrieved from the databases. The prevalence rates for sleep disorders were 31% (95% CI = 15%-53%) for shift work disorder (SWD), 30% (95% CI = 18%-46%) for obstructive sleep apnea (OSA), 28% (95% CI = 19%-39%) for insomnia, 28% (95% CI = 24%-33%) for excessive daytime sleepiness (EDS), 2% (95% CI = 1%-4%) for restless leg syndrome, and 1% (95% CI = 0%-5%) for narcolepsy. Anxiety (OR = 2.46; 95% CI = 1.99%-3.03%), cardiovascular disease (CVD) (OR = 2.03; 95% CI = 1.43-2.88), diabetes mellitus (DM) (OR = 1.93; 95% CI = 1.41-2.65), depression (OR = 1.89; 95% CI = 1.01-3.56), gastroesophageal reflux disease (GERD) (OR = 1.83; 95% CI = 150-2.22), and post-traumatic stress disorder (PTSD) (OR = 1.78; 95% CI = 1.33-2.39) were associated with OSA. Depression (OR = 9.74; 95% CI = 4.67-20.3), anxiety (OR = 9.22; 95% CI = 3.81-22.3), and PTSD (OR = 7.13; 95% CI = 6.27-8.10) were associated with insomnia. Age, gender, first responders, continent, study quality, study design, and assessment tool were significant moderator variables for OSA, insomnia, and EDS.ConclusionsThis meta-analysis found a substantially high prevalence of sleep disorders including SWD, OSA, insomnia, and EDS among first responders for medical emergencies. Early assessment and management of sleep disorders among first responders is necessary to promote good, quality sleep to help prevent anxiety, depression, CVD, DM, GERD, and PTSD.

Parental report of dental pain and discomfort in preschool children is associated with sleep disorders: a cross-sectional study in Brazilian families.

To evaluate the prevalence of sleep disorders in Brazilian preschool children and its associations with parental report of dental pain and discomfort. This cross-sectional study involved 604 Brazilian preschoolers (4-5 years old). Sleep disorders (SD) and the parental report of dental pain and discomfort (DPD) were evaluated using the Brazilian versions of the Sleep Disturbance Scale for Children (SDSC) and the Dental Discomfort Questionnaire (DDQ-B), respectively. Bivariate and multivariate Poisson regression analyses with robust variance were performed to analyze the association between SDSC and DP. Prevalence of SD ranged from 7 to 21%. 7.9% of the children had DPD indicating the need for more invasive dental procedures (DDQ-B ≥ 5). Significant associations were found between DPD and the following SDSC domains: sleep hyperhidrosis (p = 0.024; PRa = 1.38; 95% CI: 1.04-1.83), disorders of initiating and maintaining sleep (p < 0.001; PRa = 1.41; 95% CI: 1.15-1.73), parasomnias (p < 0.001; PRa = 1.82; 95% CI: 1.39-2.37), and sleep-wake transition disorders (p = 0.018; PRa = 1.28; 95% CI: 1.04-1.58). Children with higher prevalence of DPD presented 20% higher prevalence of SD than children lower prevalence of DPD (p = 0.039; PRa = 1.20; 95% CI: 1.01-1.44). Preschool children with higher prevalence of DPD are more likely to have SD, such as hyperhidrosis, disorders of initiating and maintaining sleep, parasomnias, and sleep-wake transition.