Sleep Medication Use Research Articles

Sleep Health Patterns in Romania: Insights from a Nationwide Cross-Sectional Online Survey

Background: Sleep is one of the most essential processes for sustaining cognitive, emotional, and physical health across all age groups. Insomnia or inadequate sleep significantly impacts health and poses economic burdens due to increased healthcare costs and reduced productivity. Objectives and Methods: This study aimed to investigate sleep quality in the Romanian active population using an online survey incorporating the Pittsburgh Sleep Quality Index (PSQI). Conducted over four months in 2023, the survey gathered 2243 complete responses from urban and rural residents over the age of 18. Results: The results highlight gender and urban–rural disparities in sleep quality, revealing that females and urban residents experienced poorer sleep compared to their counterparts. Additionally, sleep quality was found to significantly worsen with age, with elders (56+ years) reporting the highest PSQI scores, indicating greater sleep difficulties compared to middle-aged adults and youngsters. A high prevalence of sleep disturbances, daytime dysfunctions, and sleep medication use was reported. Common pre-sleep activities included using electronic devices and watching TV, while fewer participants engaged in reading books or consuming alcohol and caffeine. Additionally, participants’ bedding preferences were documented. Conclusions: Our study highlights the influence of various factors on sleep quality and emphasizes the need for targeted public health interventions to improve sleep health in Romania.

Racial and ethnic and sex differences in at-home estimates of sleep-disordered breathing parameters among Mexican American, Black, and Non-Hispanic White adults.

Background Racial and ethnic and sex differences in sleep may exist, but there are limited data directly comparing objective estimates of sleep-disordered breathing (SDB), particularly in rapid eye movement (REM) versus non-rapid eye movement (NREM) sleep, among Black, Mexican American (MA) and non-Hispanic White (NHW) men and women. Our goal is to investigate health disparities in SDB in a new, diverse cohort of older adults. Research Question Do SDB parameters during REM and NREM sleep differ by race and ethnicity or sex in community-dwelling older adults?. Methods The Dormir Study conducted a comprehensive sleep examination among eligible participants enrolled in the ongoing community-based Health and Aging Brain Study-Health Disparities (HABS-HD) cohort (2020-4), among Black, MA, and NHW adults aged 50 years and older. Here we characterize racial and ethnic and sex differences in SDB indices assessed by an FDA-approved Peripheral Arterial Tonometry (PAT)-based home sleep testing system. Results We examined 821 participants, including 543 (66.1%) women, and 284 (34.6%) MA and 174 (21.2%) Black individuals, with a mean age of 66.6±8.5 years. Around half (50.5%) of the participants had moderate to severe SDB as defined by the respiratory event index (REI based on 3% desaturations) of ≥15/ hour, 72.7% with moderate to severe REM SDB (REM-REI ≥ 15/hour) and 39.5% with moderate to severe NREM SDB (NREM-REI ≥15/hour). The prevalence of SDB did not differ by race or sex. However, significant racial and ethnic and sex differences were observed for REM-specific SDB metrics. Overall, Black women had the highest REM REI, and NHW men had the lowest REM REI and REM ODI. After controlling for age, sex, education, income, employment status, cognitive status, BMI, history of hypertension, diabetes, stroke, and coronary heart disease, and sleep medication use, Black participants had a REM-REI that was 3 events per hour higher than that of NHW adults, while NREM-REI were similar. MA individuals had similar REM or NREM SDB parameters compared to NHW adults but exhibited higher average blood oxygen levels. Conclusions In this community-based cohort of middle- to older-aged NHW, MA, and Black adults, PAT-based measures of in-home sleep indicate a higher prevalence of REM SDB in Black adults, particularly Black women, compared to their NHW counterparts; this contrasts with the similar NREM parameters observed across racial and ethnic groups. Given the close link between REM SDB and adverse health outcomes, clinicians should pay more attention to this sleep apnea phenotype, especially in minoritized populations.

Chronotypes in middle-aged women with polycystic ovary syndrome: A population-based study.

Circadian rhythm disruption has been associated with the risk of polycystic ovary syndrome (PCOS), as the evening chronotype (EC) shares several traits with PCOS, including metabolic disorders, cardiovascular diseases, and psychiatric disorders. It has been suggested that the biological clock could be targeted with new, preventive, and therapeutic strategies for PCOS in women with biorhythm disorders. We evaluated inner circadian rhythmicity in middle-aged women with PCOS in a population-based setting, focusing on whether women with PCOS and an EC have a specific subtype in relation to their clinical characteristics. The data derived from the Northern Finland Birth Cohort, a population-based longitudinal birth cohort of 12 058 individuals born in 1966. We compared the circadian phenotype between 314 women with PCOS (according to the Rotterdam criteria) and 1248 women without PCOS at age 46 years using the validated Finnish shortened 6-item Morningness-Eveningness Questionnaire (sMEQ) and the single-item self-assessed morningness-eveningness question. PCOS was not associated with the EC by the sMEQ (p = 0.495) or self-assessment (p = 0.303). The self-assessed morningness-eveningness values differed from the sMEQ chronotype distribution (p < 0.001), nevertheless, the most frequent chronotype was the intermediate chronotype (IC) determined by both chronotyping methods (sMEQ PCOS 47.7% vs. 45.2% non-PCOS; self-assessment PCOS 66.5% vs. 68.4% non-PCOS). The hyperandrogenic PCOS phenotypes A-C did not differ from the non-hyperandrogenic phenotype D as for the chronotype (p = 0.271). The EC was associated in both groups with depressive and anxiety symptoms (PCOS p = 0.012, non-PCOS p < 0.001) and the use of sleep medication (PCOS p = 0.017, non-PCOS p < 0.001). The EC was not over-represented in middle-aged women with PCOS or in the hyperandrogenic PCOS phenotypes A-C in our study. This does not support the need for chronotyping in the comprehensive assessment of women with PCOS. However, as chronotypes tend to change with aging, cross-sectional studies in different age groups are warranted to draw conclusions on the role of chronotypes in PCOS and the associated metabolic risks.

Medical practitioners’ experiences and considerations when managing sleep medication for adolescents and young adults

Introduction The prevalence of sleep disorders and use of sleep medication, particularly melatonin, are rising among adolescents and young adults (13–24 years). In Denmark, melatonin is approved for use in children with autism and ADHD up to 18 years of age, with other prescriptions being off-label in these age groups. The perspectives of medical practitioners on prescribing sleep medications to this age group remain largely unexplored. Aim This study aims to investigate the considerations of general practitioners (GPs) and child and adolescent psychiatrists (psychiatrists) when prescribing and deprescribing sleep medications for 13–24-year-olds. Methods We conducted qualitative semi-structured interviews with 10 GPs and six psychiatrists. Data were analyzed using an inductive approach. Results Psychiatrists typically prescribed melatonin with the expectation that deprescription would occur in general practice. Despite the universal goal of deprescription, it was hindered by various challenges. GPs identified patient motivation and a clear focus on deprescription as facilitative factors and expressed a need for enhanced emphasis on these aspects in general practice. Discussion and implications The findings align with existing prescription trends and literature on factors that promote and inhibit deprescription. The study underscores the complexities of deprescribing sleep medications for adolescents and young adults, suggesting the need for expanded guidelines and enhanced continuing education for GPs. Conclusions The research highlights significant discrepancies among medical practitioners regarding the deprescription process of sleep medications for young individuals, complicated by multiple factors. This underscores the need for better guidelines and further studies.

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.

Effect of sleep quality on repetitive transcranial magnetic stimulation outcomes in depression.

While repetitive transcranial magnetic stimulation (rTMS) is effective for 50-60% of those treatment-resistant depression, it is critical to identify predictors of response for optimal patient selection to improve therapy. Insomnia is a known symptom of depression that is both correlated with depression severity and associated with poor antidepressant response. Therefore, understanding this relationship may open new opportunities for the optimization of rTMS treatment. We aimed to explore whether baseline sleep quality, specifically insomnia, is associated with rTMS outcomes in a naturalistic sample of 975 patients (age 18-90; 63.9% F) receiving a standard course of rTMS treatment from two outpatient TMS clinics located within psychiatric hospitals in the United States. One site additionally collected information on concurrent medication use on 350 patients; among these, we examined whether pharmacological treatment of insomnia affected TMS treatment response. Depression was measured using the 30-item Inventory of Depressive Symptomology Self Report (IDS-SR) in site one and an abbreviated 16-item Quick Inventory of Depressive Symptomology (QIDS) derived from the IDS-SR in site two. Sleep disturbances were measured using three insomnia-related questions. Multilevel logistic regression was used to determine whether baseline insomnia scores were associated with TMS treatment outcome. Upon dichotomous categorization of the sample by insomnia and sleep-medication use, depression and sleep scores were analyzed across time using mixed repeated measures ANOVA. We found that sleep quality improves after TMS (p<.001) and correlates with improvement in non-insomnia related depression symptoms (r= .318, p<.001). We found that among those who had significant insomnia at baseline, those not using sleep medications had significantly worse post-treatment IDS-SR scores compared to those using sleep medications (p=. 021) despite no difference in final insomnia score. Together, our results suggest that while baseline insomnia is not associated with TMS effectiveness, treating insomnia may affect the trajectory of TMS therapy. Future prospective studies are needed to examine the effect of insomnia treatment alongside TMS for depression.

Epidemiology and burden of chronic insomnia disorder in Europe: an analysis of the 2020 National Health and Wellness Survey

Introduction Chronic insomnia disorder (CID) is considered a significant worldwide public health concern; however, its exact burden is unknown. We estimate its prevalence across France, Germany, Italy, Spain, and the United Kingdom, and assess the economic and humanistic burden for a broader insomnia population. Methods This retrospective, cross-sectional, observational study used 2020 National Health and Wellness Survey (NHWS) data. Patients reporting insomnia were characterized to define CID. Health-related quality of life (HRQoL), work productivity, and healthcare resource use (HCRU) outcomes were assessed in four cohorts according to insomnia diagnosis and treatment status and examined using multivariable analyses according to Insomnia Severity Index categories. Results Among 62,319 respondents, 9,035 (21.2%) reported experiencing insomnia over the previous 12 months. CID prevalence rates were 5.5% to 6.7% across the five countries and 6.0% overall. HRQoL outcomes were persistently poorer in cohorts of patients diagnosed with insomnia than those with undiagnosed insomnia. Undiagnosed and treated insomnia patients reported the highest work presenteeism and total work productivity impairment and the highest number of emergency room and hospitalization visits than patients with insomnia (either treated or untreated). After adjusting for covariates, patients with severe insomnia reported significantly worse EQ-5D-5L utility scores, higher absenteeism and presenteeism rates, and more healthcare provider visits over the past 6 months than patients without insomnia (all p < 0.01). Conclusions Our prevalence rates for CID align with published literature. A diagnosis of insomnia, use of sleep medications, and severity of insomnia are associated with poor quality of life, loss of work productivity, and higher HCRU, confirming the high unmet need and substantial humanistic and economic burden of CID.

Substance Use and Mental Health among Canadian Social Workers.

This article reports the findings of an online survey designed to collect information about substance use (licit, illicit, or pharmaceutical) and mental health (depression or anxiety) among social workers. Among the 489 participants, Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder (GAD-7) screenings indicated symptoms of depression and anxiety at a higher prevalence than those of the general Canadian population. There were relatively few correlations between mental health scores and substance use. PHQ-9 total score significantly predicted past-year antidepressant use and past-year sleeping medication use. GAD-7 total score significantly predicted past-year benzodiazepine use and past-year melatonin use. Effects of substances (e.g., cannabis, alcohol, benzodiazepines, cocaine, ecstasy) were predominantly beneficial or nonproblematic (e.g., enjoyment/pleasure; socializing enhanced; concentration/focus improved). Subjective experiences of social workers should be sought to understand potential relationships between mental health scores and enhancement effects of substance use. Substances are being used, at least in part, for their performance-enhancing effects to meet the expectations of day-to-day life. Interventions can shift toward root causes, with institutions held more accountable for supporting social workers and promoting "workplace care."

Predictors of sleepiness in a large-scale epidemiology study ESSE-RF.

To identify predictors of excessive daytime sleepiness we analyzed data from the 'Epidemiology of cardiovascular diseases in regions of Russia (ESSE-RF)' study. Data from participants of the cohort study ESSE-RF (2012-2013), aged 25-64 years, from 13 regions of Russia were analyzed (2012-2013). The participants were interviewed regarding their sleep complaints, including difficulties with initiating and maintaining sleep, sleepiness, and use of sleeping pills. Sleepiness was considered significant if it occurred at least three times a week. The examination encompassed social, demographic, and anthropometric measures, lifestyle factors, self-reported diseases, and laboratory parameters. The final analysis included 13,255 respondents. Frequent (≥3 times/week) sleepiness was reported by 5,8%, and occasional sleepiness (1-2 times/week) by 10.8% of respondents. Multivariate regression analysis identified significant predictors of frequent sleepiness. Sleep complaints (insomnia, sleep apnea, snoring) and frequent use of sleep medication were prominent factors. Additionally, age, female gender, higher education, and retirement status were associated with sleepiness. Beyond demographics and sleep, the analysis revealed predictors: abnormal anxiety levels, low high-density lipoprotein, high salt intake and following medical conditions: arrhythmia, hypertension, myocardial infarction, other heart diseases, and renal disease. This study identified a significant prevalence of EDS in Russians, aligning with global trends. However, findings suggest potential regional variations. Analysis revealed a complex interplay of factors contributing to EDS, highlighting the importance of individualized treatment approaches for improved sleep health.

Socioeconomic Status, Stress, and Cancer-related Fatigue among Chinese American Breast Cancer Survivors: The Mediating Roles of Sleep.

Sleep-related issues may be one significant pathway through which socioeconomic disadvantages are associated with worse self-reported states in cancer. The present study examined the relationships between SES (income and education level) and two important biobehavioral factors (cancer-related fatigue and perceived stress), as well as mediation through sleep-related problems (sleep medication use, daytime dysfunction, and sleep quality) among a sample of Chinese American breast cancer survivors. 136 Chinese American breast cancer survivors completed a self-reported questionnaire. We found that relative to those with the lowest annual household income, those with the highest income have lower perceived stress. This relationship was mediated by lower sleep quality. Relative to those with a high school degree or less, those with graduate degrees have lower daytime dysfunction, and in turn lower cancer-related fatigue. Our findings point to the importance of addressing sleep-related issues, perceived stress, and cancer-related fatigue among Chinese American breast cancer survivors with low SES backgrounds.

An examination of sleep problems and parental well-being, comparing families with and without autistic children

BackgroundSleep problems are a common comorbidity in autistic children and adolescents. Little is known about the role of sleep problems in parental well-being in the context of autism. MethodThe current study utilised actigraphy and questionnaire-based measures in mothers of autistic children and adolescents (n = 11), and mothers of typically developing (TD) children and adolescents (n = 11). Actigraphy is an objective, non-intrusive method for examining sleep. It involves wearing a wristwatch-like microcomputer that records motion. Measures included the Pittsburgh Sleep Quality Index, Autoimmune Disease in Family Members Questionnaire, Parenting Stress Index-Short Form, World Health Organization Quality of Life Abbreviated Version (WHOQOL-BREF), Hospital Anxiety and Depression Scale, and the Multidimensional Scale of Perceived Social Support. ResultsMothers of autistic children had significantly greater difficulties with subjective sleep quality, sleep duration, sleep efficiency, and daytime dysfunction, than mothers of TD children. In mothers of autistic children, parental use of sleep medication on the PSQI was positively associated with objective sleep onset latency using actigraphy, with a large effect size. Families with an autistic child had significantly more family members with osteoarthritis and rheumatoid arthritis than did families of TD children. Families of autistic children had significantly more autistic family members than did families of TD children. ConclusionsMothers of autistic children had significantly higher levels of stress, anxiety, depression, and lower levels of quality of life and perceived social support, than parents of TD children. Sleep problems identified via actigraphy were associated with parental stress, anxiety and depression, and quality of life.

Effectiveness of digital Cognitive-Behavioural Therapy for Insomnia in patients with musculoskeletal complaints and insomnia in primary care physiotherapy: study protocol for a randomised controlled trial

IntroductionInsomnia is prevalent among patients visiting physiotherapists due to musculoskeletal complaints and associated with poorer pain prognosis. Cognitive-Behavioural Therapy for Insomnia (CBT-I) may be effective for improving sleep quality and...

Factors associated with symptoms of depression and anxiety in health professionals in high-complexity services

The aim of this study was to estimate the prevalence of anxiety and depression symptoms in health professionals in high-complexity services and the associated factors. Epidemiological, cross-sectional, analytical study. The Beck Anxiety and Depression Inventories and a questionnaire with sociodemographic and occupational aspects, health conditions, lifestyle and quality of life were used. A total of 490 professionals participated. The prevalence of anxiety and depression symptoms was 26.5% and 19.8%, respectively. The prevalence of anxious symptoms was lower among nurses and physicians, was higher among female professionals, who used sleep medications, with altered fasting blood glucose levels, with a good and regular/need to improve lifestyle, and with scores below average in the social relationships domain. The prevalence of depression symptoms was higher in females, who took time off work due to stress, depression, or anxiety, had a good and regular/need to improve lifestyle, and had below-average scores in the psychological and environmental domains. The outcomes investigated were associated with the following variables: gender, professional category, use of sleep medication, fasting glucose, stress leave, depression or anxiety, lifestyle, and quality of life.

The association between sleep quality and accelerated epigenetic aging with metabolic syndrome in Korean adults

BackgroundHealthy sleep is vital for maintaining optimal mental and physical health. Accumulating evidence suggests that sleep loss and disturbances play a significant role in the biological aging process, early onset of disease, and reduced lifespan. While numerous studies have explored the association between biological aging and its drivers, only a few studies have examined its relationship with sleep quality. In this study, we investigated the associations between sleep quality and epigenetic age acceleration using whole blood samples from a cohort of 692 Korean adults. Sleep quality of each participant was assessed using the validated Pittsburgh Sleep Quality Index (PSQI), which encompassed seven domains: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbance, use of sleep medication, and daytime dysfunction. Four epigenetic age accelerations (HorvathAgeAccel, HannumAgeAccel, PhenoAgeAccel, and GrimAgeAccel) and the pace of aging, DunedinPACE, were investigated for epigenetic aging estimates.ResultsAmong the 692 participants (good sleepers [n = 441, 63.7%]; poor sleepers [n = 251, 36.3%]), DunedinPACE was positively correlated with PSQI scores in poor sleepers (γ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\gamma$$\\end{document}=0.18, p < 0.01). GrimAgeAccel (β\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\beta$$\\end{document}=0.18, p = 0.02) and DunedinPACE (β\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\beta$$\\end{document}=0.01, p < 0.01) showed a statistically significant association with PSQI scores only in poor sleepers by multiple linear regression. In addition, every one-point increase in PSQI was associated with a 15% increase in the risk of metabolic syndrome (MetS) among poor sleepers (OR = 1.15, 95% CI = 1.03–1.29, p = 0.011). In MetS components, a positive correlation was observed between PSQI score and fasting glucose (γ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\gamma$$\\end{document}= 0.19, p < 0.01).ConclusionsThis study suggests that worsening sleep quality, especially in poor sleepers, is associated with accelerated epigenetic aging for GrimAgeAccel and DundinePACE with risk of metabolic syndrome. This finding could potentially serve as a promising strategy for preventing age-related diseases in the future.

The relationship between sleep quality and fear of COVID-19, anxiety, personality traits in working women.

Disasters such as the COVID-19 pandemic have serious traumatic effects on people, who may experience sleep problems, anxiety, and fear in the face of such a stressor. This study is conducted to examine the relationship between sleep quality and fear of COVID-19, anxiety, and personality traits in working women. This research was a descriptive study between June to August 2021. The study was conducted with 425 participants. The Pittsburgh Sleep Quality Index, COVID-19 Fear Scale, Beck Anxiety Scale, and the revised Eysenck Personality Questionnaire-Short Form were applied to the participants. T-test, ANOVA, and Pearson correlation analysis, were used. In the study, it was found that the total average score of the Fear of COVID-19 Scale was 18.83±5.5, while the score of sleep quality was 5.40±3.3 and the anxiety score was 14.01±12.4. On the other hand, the score of Extraversion was determined as 3.73±1.7, Neuroticism was 3.79±1.8, and Psychoticism was 1.97±1 in the study. Moreover, a statistically significant positive correlation was found between sleep quality and fear of COVID-19, anxiety, and neuroticism in working women (p < 0.05). Sleep quality, sleep latency, sleep disturbance; daytime dysfunction, use of sleep medication, sleep duration, sleep latency with anxiety; sleep latency, sleep quality, daytime dysfunction, sleep duration were found to be linked to neuroticism, and use of sleep medication and sleep duration were found to be linked to psychoticism. It was concluded that there was a relationship between sleep quality and fear of COVID-19, anxiety, and personality traits in working women.

Sleep–wake changes and incident depressive symptoms in midlife women

Our study aimed to investigate the relationship between sleep–wake changes and depressive symptoms events among midlife women. We enrolled 1579 women aged 44–56 years who had no clinically relevant depressive symptoms at baseline. Depressive symptoms were assessed at each visit using the Center for Epidemiologic Studies Depression scale. At the third and fourth follow-up visits, women reported their sleep habits. The sleep midpoint was defined as the time to fall asleep plus one-half of the sleep duration. Sleep–wake changes were determined by the difference in the midpoint of sleep between the third and fourth visits, which were 1 year apart. The median follow-up time was 7 years (range 1–7 years). Cox proportional hazard models were fitted to calculate hazard ratios and 95% confidence intervals for the incidence of depressive symptoms associated with sleep–wake changes. After adjusting for potential confounding factors, the hazard ratio (95% confidence interval) of depressive symptoms for severe sleep midpoint changes was 1.51 (1.12, 2.05) compared with mild sleep midpoint changes. This relationship remained statistically significant and changed little when additionally controlling for sleep duration, sleep quality, insomnia symptoms, use of sleep medications, use of nervous medications, glucose, insulin, lipids, dietary energy intake, and C-reactive protein. Our findings indicate that exposure to long-term severe sleep–wake changes increases the risk of depressive symptoms in midlife women.

Prevalence of Poor Quality of Sleep among the Elderly Population: A Community-based Cross-sectional Study

Abstract Background: The spike in cases of sleep-related issues and its ill effects among the geriatric population has been highly noted these days. The drop in sleep quality has been seen to be associated with various day-to-day factors. The study has been conducted to mark the quality of sleep and the factors associated with it in the elderly population. Materials and Methods: A cross-sectional study was conducted among the elderly population. A face-to-face interview of 89 individuals over 60 years of age was conducted. The study tool for assessment of the quality of sleep was Pittsburgh Sleep Quality Index (PSQI). Chi-square test was done to find out the association between various factors and quality of sleep. Results: The prevalence of poor sleep quality was 58.43%. About 35.95% of the population had bad subjective sleep quality, 12.36% population had sleep latency of 31–60 min, while 22.47% population had sleep duration of &lt;5 h. Eight percent of the population reported the use of sleep medication, and 23.6% of population reported sleep disturbance of more than thrice a week. Thirty-five (67.3%) females reported poor quality of sleep which was found to be statistically significant. Conclusion: The prevalence of poor sleep quality was found to be high among the elderly population. Educating the population about sleep health and methods to combat the situation by health-care workers can result in significant improvement of the conditions.

Sleep Disturbance in Children with Fetal Alcohol Spectrum Disorder and the Relationship to the Neurodevelopmental Profile.

Sleep disturbance is an important feature of fetal alcohol spectrum disorder (FASD). We sought to describe sleep patterns in school-aged children with FASD, in comparison with a typically developing community group, and investigate the relationship between sleep and neurodevelopmental profiles. The FASD cohort (N = 36) was recruited from a tertiary Australian FASD diagnostic center, and the typically developing group (N = 36) was previously recruited as a control cohort for a separate study. Sleep disturbance was assessed with the caregiver-completed Sleep Disturbance Scale for Children (SDSC) questionnaire. Neurodevelopmental assessment results for the 10 domains impaired in FASD were used for correlations with sleep disturbance. In the FASD group, 80% of children scored above the SDSC cutoff, compared with 22% of the control group ( p < 0.001). Statistically significant group differences were seen for all 6 subscales of the SDSC ( p < 0.05). The most frequently affected domains in the FASD group related to difficulties with initiating and maintaining sleep (58%), sleep-wake transition disorders (44%), and disorders of arousal (42%). A statistically significant relationship was not found between sleep and the severity of neurodevelopmental impairment or impairment of a particular domain, acknowledging the limitations of our small sample size. Half of the FASD sample (52%) were taking a pharmaceutical agent to support sleep, which was not associated with lower SDSC scores. In this small study, sleep disturbances were frequently reported by carers of children with FASD, independent of the severity of their neurodevelopmental impairments. Persistent sleep disturbance despite the use of sleep medications highlights the need for prospective studies exploring sleep interventions in this population. Integration of behavioral sleep medicine into management is recommended for all children with FASD.

Association Between Perceived Noise Pollution and Sleep Quality: Findings from the 2018 Community Health Survey.

This study aimed to investigate the potential relationship between sleep quality and perceived noise. A cross-sectional study involving 185,246 adults (81,854 men and 103,392 women) participating in the 2018 Korea Community Health Survey (KCHS) was conducted. Subjective sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), while perceived noise pollutants were categorized into two groups: perceived noise pollution (n = 43,638) and perceived non-noise pollution (n = 141,608). We used chi-square tests and independent sample t tests to compare differences between the perceived noise group and the non-perceived noise group, as well as multivariate logistic regression analysis to calculate adjusted odds ratios (OR) for sleep quality variables. The perceived noise pollution group had significantly poor psychosocial variables (stress, depression assessed by Patient health questionnaire-9 (PHQ-9)) than the perceived non-noise pollution group. Poor sleep quality (PSQI > 5) was associated with perceived noise pollution (OR 1.33, 95% confidence interval (CI) 1.30-1.36, P < 0.001). In addition, sleep quality (OR 1.09; 95% CI 1.06-1.13, P < 0.001); sleep latency (OR 1.11; 95% CI 1.09-1.14, P < 0.001); sleep duration (OR 1.10; 95% CI 1.07-1.13, P < 0.001); sleep efficiency (OR 1.20; 95% CI 1.16-1.25, P < 0.001); sleep disturbance (OR 1.46; 95% CI 1.42-1.51, P < 0.001); sleep medication use (OR 1.13; 95% CI 1.07-1.20, P = 0.002); and daytime dysfunction (OR 1.23; 95% CI 1.20-1.26, P < 0.001) were associated with perceived noise pollution after confounding variables. Perceived noise pollution was significantly associated with poor sleep quality. Perceived noise annoyance could be used as a signal of health effects in the public community.

Cold Hypersensitivity and Sleep Quality: A Cross-sectional Community-based Study

Background: Cold hypersensitivity (CH) and sleep disorders are not limited to patients with specific diseases, as they are also commonly observed in the general population. The objective of this study was to investigate the relationship between CH and sleep quality.Methods: This cross-sectional study analyzed data from a cohort of 5,052 individuals living in South Korea. Based on the results of a questionnaire on CH, the participants were classified into four groups: non-CH, CH in the hands (CHH), CH in the feet (CHF), and CH in the hands and feet (CHHF). Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Multiple regression was used for groupwise comparisons of total PSQI scores and the scores for each component, and logistic regression was used to find the odds ratios of being a “poor sleeper” (PSQI≥8.5).Results: The CHF and CHHF groups showed significantly higher scores than the non-CH group on the overall PSQI as well as on the following sleep components: subjective sleep quality, sleep latency, habitual sleep efficiency, sleep disturbance, and sleep medication use. The odds ratios for being a “poor sleeper” were significant in the CHF (1.84; CI=1.38-2.43) and CHHF groups (1.54; CI=1.25-1.89), but the CHH group did not show any difference from the non-CH group. We identified a correlation between CH in the feet and poor sleep quality.Conclusions: These findings help to elucidate the relationship between sleep and CH and highlight the need to clarify the underlying mechanism.