Childhood maltreatment and adulthood poor sleep quality: a longitudinal study.

Back and neck pain and poor sleep quality in adolescents are associated even after controlling for confounding factors: An epidemiological study.

Influence of excessive daily sleeping and sleep quality on BDNF and NGF serum levels in adolescents

The bidirectional relationship between epilepsy and sleep is well established. People with epilepsy frequently experience sleep and wake disturbances, which may be more frequent in older adults. With 15%-20% of epilepsy cases presenting as late-onset epilepsy of unknown etiology (LOEU), this study aimed to assess subjective sleep quality and daytime sleepiness in LOEU patients compared to older adults without neurological and psychiatric diseases. This observational study included 78 LOEU patients (55.1% males, mean age 68.29 ± 8.01 y.o.) diagnosed at Epilepsy Centers in Rome Tor Vergata, Perugia, and Chieti, and 55 older controls (38.2% males, mean age 69.76 ± 14.99 y.o.). Patients and controls completed the Epworth Sleepiness Scale (ESS) and the Pittsburgh Sleep Quality Index (PSQI), and a subgroup of patients also answered the Quality of Life in Epilepsy Inventory (QOLIE-31) and the Beck Depression Inventory-II (BDI-II). Following the adjustment for age and epilepsy centers, LOEU patients showed significantly poorer global sleep quality (p = .046) and lower sleep quality and efficiency (p < .001) compared to controls. ESS scores were similar between groups. Patients with generalized seizures reported lower sleep quality than patients with other types of seizures. BDI-II scores correlated positively with poor sleep quality and negatively with quality of life. LOEU patients reported lower subjective sleep quality than older controls. Sleep disturbances correlated with depressive symptoms, which in turn were associated with a more impaired quality of life. These findings highlight the importance of addressing sleep issues in this population to prevent seizure recurrence and to improve well-being and quality of life.

Background: Several studies have shown that sleep disorders may lead to metabolic or endocrine changes including insulin resistance, diabetes, obesity, cardiovascular disease and stroke. Objectives: The aim of this study was to investigate the association between sleep quality and metabolic factors and anthropometric measurements among personnel of a central petrochemical company in Tehran. Methods: This cross-sectional study was conducted on 400 personnel of a central petrochemical company in Tehran, during year 2015. Demographic information including age, gender, educational status, employment duration, working hours per day, marital status, smoking, medical history for disease and drug use, were collected by a questionnaire. Systolic and diastolic blood pressure and also height and weight were measured by standard methods and body mass index (BMI) was calculated. Pittsburg sleep quality index (PSQI) was performed to assess participants’ sleep quality. Serum concentrations of fasting glucose and lipid profiles were measured by the related biochemical kits. Logistic regression analysis was used for multivariate adjusting of factors associated with sleep quality. Results: The mean score for participants’ Pittsburgh sleep quality index (PSQI) was 4.77 ± 2.62. About 30% of participants had had bad sleep quality. A high body mass index (BMI) (P < 0.001) and high waist circumference (P = 0.016) were inversely associated with sleep quality. Serum concentration of very-low-density lipoprotein (VLDL) (P = 0.004) and triglyceride (P = 0.001) were statistically higher in participants with lower sleep quality than with those with higher sleep quality. The group with a good sleep quality had a higher serum high density lipoprotein-cholesterol (HDL-c) than those with a poor sleep quality (P = 0.034). Being female increased the risk of poor sleep quality by 2.5 folds, and with increasing BMI (OR = 1.17) and serum triglyceride (OR = 1.02) the risk of poor sleep quality was increased. Conclusions: People with a poor sleep quality had a higher BMI, waist circumference and serum triglyceride levels and a lower HDL-c concentration. Furthermore, BMI and serum triglyceride concentration are independently associated with the score of sleep quality. Indeed, it is recommended for people to screen for sleep quality to start necessary interventions. Keywords: Sleep Quality, Lipid Profile, Serum Glucose, Body Mass Index, Insulin Resistance, Petrochemical Company

The Roles of Neuroticism and Schizotypy in Emotional Abuse and Mental Health Association: A Replication and Extension of Alnassar et al. (2024)

Associations between sleep bruxism, sleep quality, and exposure to secondhand smoke in Japanese young adults: a cross-sectional study

Objectives: To assess factors associated with poor sleep quality and excessive daytime sleepiness (EDS) in late pregnancy.Methods: A cross sectional study was carried out on 109 pregnant women in their third trimester admitted to Teaching Hospital Peradeniya using validated Sinhala translations of both Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS). Consecutive sampling was used from February to April 2021.Results: Application of PSQI demonstrated that 59.6% had a poor overall sleep quality (PSQI score&gt;5). Subcomponent analysis showed poor sleep duration (&lt; 06 hours per day) in 27.5%, sleep latency of over 30 minutes in 29.4%, poor sleep efficiency among 33.9% and day-time dysfunction in 30.3%. Poor overall sleep quality was associated with presence of foetal movements (OR=11.8, 95% CI=1.5-93.5) and backache (OR=3.8, 95% CI=1.2-12.3). Poor sleep duration was associated with the presence of one or more pregnancy related complications (OR=3.4, 95% CI=1.4-8.5) and advanced maternal age over 35 years (OR=3.7, 95% CI=1.4-9.7). Increased sleep latency over 30 minutes was seen in mothers over 34 weeks of gestation (OR=9.1, 95% CI=2.9-28.6) and over 10kg of weight gain (OR=5.3, 95% CI=1.2-24.4). Application of ESS demonstrated 26.6% had EDS, which was associated with maternal employment (OR=2.8, 95% CI=1.1-7.1) and higher educational status (OR=4.7, 95% CI=1.5-15.1). EDS did not result in poor sleep quality, however, mothers experiencing insomnia had a higher PSQI score (Mean ± SD 7.2±3.7 vs 6.2±3.4 hours, p=0.044).Conclusion: Majority of pregnant women in third trimester had poor overall sleep quality. EDS was seen among one fourth. Modifiable risk factors were associated with poor sleep quality and EDS.

Introduction: Research shows that compared to non-Hispanic whites, African Americans (AAs) have poorer sleep quality, lower mean sleep duration, and a higher prevalence of sleep-disordered breathing. AAs also report more frequent exposures to certain stressors over the life course, which may impact physiological processes that may impair sleep. Goal-striving-stress (GSS), the discrepancy between aspiration and achievement, weighted by the subjective probability of success, and the level of disappointment experienced if goals are not reached, may be an important stressor among AA’s that may influence sleep; however this has yet to be explored. The objective of this study was to assess the relationship between GSS and sleep duration and sleep quality in AAs. Hypothesis: We assessed the hypothesis that high (versus low) GSS would be associated with short or long sleep duration and poor sleep quality. Methods: We utilized data from the baseline exam of the Jackson Heart Study (JHS; n=5306), an AA sample of women and men, 35-84 years old. There were a total of 5082 participants in the sample; 63.34% female with a mean age of 55.30 (± 12.75) and mean sleep duration of 6.43 hours (±1.51). The sample was categorized into GSS tertiles: low (n=2121), moderate (n=1716), high (n=1296). Participants self-reported sleep duration (hours) and rated their sleep quality. Sleep duration was categorized as short ( &lt; 6 hours), normal (7 or 8 hours) and long ( &gt; 9 hours). Sleep quality was categorized as high (good/very good/excellent) and low (fair/poor). Logistic regression models were used to obtain odds ratios (OR, 95% confidence interval-CI) to assess the associations of GSS levels with sleep duration and sleep quality categories. Models were adjusted for sex, age, socioeconomic status, health behaviors, discrimination, and health outcomes. Results: Significant results showed that participants who reported high (versus low) GSS had a 29% increased odds [1.29 (1.10, 1.52)] of short (versus normal) sleep after full adjustment. Participants who reported high (versus low) GSS had a 42% increased odds [1.42 (1.20, 1.67)] of low (versus high) sleep quality after full adjustment. Conclusion In conclusion, the deficit between goal aspiration and achievement is associated with short sleep duration and poor sleep quality. Potential interventions should consider the extent to which GSS may contribute to the development of short sleep duration and poor sleep quality.

Background: Sleep plays essential role in restoring both cognitive and physical performance, up to now its particular impact within military populations remains unknown. Military cadets often go through demanding schedules and high-stress environments that can compromise both sleep quality and duration. Research has shown that insufficient or poor-quality sleep is associated with declined physical performance, affecting endurance, strength, and coordination. Yet, Maximum existing studies have focused on the general population, offering little awareness into the unique challenges faced by cadets. The strict nature of military training may increase the bad effects of sleep deprivation. Understanding the connection between sleep and performance in this context is crucial for improving training outcomes and decreasing the risk of injury. This study pursues to assess how variations in sleep quality and duration influence physical performance among military cadets. The results could notify the development of targeted strategies to magnify sleep hygiene and overall readiness in military training programs. Objective: Assess the impact of sleep quality and duration on physical performance in military cadets, inspect how inequality in sleep patterns affect physical fitness levels and overall performance. Methodology: A cross-sectional study was conducted involving military cadets to Inspect the Connection between sleep and physical performance. A total of 169 military cadets were included in the study as the sample size. Participants completed the Pittsburgh Sleep Quality Index (PSQI) and the Sleep Hygiene Index to assess their sleep quality and duration. Physical activity levels were judged using the International Physical Activity Questionnaire (IPAQ). Statistical analyses were performed by SPSS version 29 to Find out the Connection between sleep variables and physical performance effects. The data was analyzed by using statistical technique chi square test. Result: The results of the study demonstrated a statistically significant relationship between sleep patterns and physical performance among cadets. The correlation analysis revealed that poor sleep hygiene and quality—measured using SHI and PSQI—were positively linked with decreased physical activity levels measured via IPAQ. The highest correlation was noted between stress before bed and poor sleep hygiene (73.3%), and between trouble staying awake and poor sleep quality (58%). A chi-square test confirmed these relationships were statistically significant, as p-values for all hypotheses were less than 0.05, leading to the rejection of the null hypothesis. This indicates a meaningful association between sleep quality, duration, and physical performance. The strongest associations were observed in the age group 21–23 years, non-smokers, and unmarried cadets, with the majority showing poor sleep quality and high physical activity. The findings emphasize the need to improve sleep hygiene to enhance physical performance among military cadets. Conclusion: This study comes to the conclusion that military cadets' physical performance is adversely affected by both inadequate sleep duration and poor sleep quality. Reduced strength, endurance, reaction time, and recuperation—all essential components of military training and preparedness—were linked to sleep deprivation. The results highlight how crucial it is to incorporate regulated sleep schedules, environmental changes, and instruction about good sleep hygiene into military training programs. Specific sleep-related interventions may improve mental and physical function while lowering the risk of damage. To guarantee peak performance and operational efficacy in military environments, sleep should be seen as an essential part of cadet health, in addition to physical training and a healthy diet.

In Europe, 40% of health-care employees are involved in shift work. The altered sleep/wake rhythm of night-shift nurses is also associated with deteriorated cognitive efficiency. In this study, we examine the effects of the night shift on psychomotor performance, sleepiness, and tiredness in a large sample of shift-working nurses and evaluated if poor sleep quality, sex, age, or years on the job could impact on a better adaptation to shift work. Eighty-six nurses with 8-h-rapidly-rotating-shifts were evaluated at the end of three shifts (morning/afternoon/night) for sleepiness and tiredness. Sleepiness, as measured by the Karolinska Sleepiness Scale, and tiredness, as measured by the Tiredness Symptoms Scale, were more pronounced after the night shift. These increases were paralleled by lower attentional performance on the psychomotor vigilance task (PVT) after the night shift. While sex, age, and years on the job did not affect PVT performance after the night shift, lower sleep quality (Pittsburgh Sleep Quality, PSQI > 5) was associated with decreased performance. The high prevalence of altered sleep quality showed that nurses, and shift workers in general, are at risk for a poor sleep quality. The evaluation of sleep quality through PSQI could represent a rapid, inexpensive tool to assess health-care workers assigned to rotating night shifts or to evaluate nurses who coped poorly with night-shift work.

BackgroundThe sleep quality of undergraduates is considerably worse than that in general population, a cross sectional study was conducted to evaluate sleep quality and identify related factors.MethodsAll participants from the freshmen to senior were recruited by the stratified cluster sampling from December 1, 2018 to January 12, 2019. The questionnaire used in this research was primarily composed of three sections: demographic characteristics, Pittsburgh Sleep Quality Index (PSQI) questionnaire and influencing factors of sleep quality. The data were analyzed using SPSS 18.0.ResultsA total of 1,063 valid questionnaires were collected. Among them, 53.7% subjects suffered poor sleep quality. PSQI general score was 5.94 ± 2.73. There were significantly differences in sleep quality in sex, majors and grades. The survey reported that women suffered worse sleep quality than that of men, and medical students suffered worse sleep quality than non-medical students. Meanwhile, it also found that freshmen had better sleep quality than that of sophomores and juniors, sophomores suffered worst sleep quality. The logistic regression analysis showed that bad physical condition (OR (Odds ratio): 2.971 (2.034∼4.339)) and smoking (OR: 1.754 (1.258∼2.446)) were associated with poor sleep quality in males. However, more factors associated with poor sleep quality among females were found, including noisy dormitory environment (OR: 2.025 (1.354-3.030)), skipping breakfast more times per week (OR: 1.332 (1.031∼1.721)), drinking coffee before sleep (OR: 2.111 (1.155∼3.861)), playing with mobile phones for more than 45 minutes before sleep (OR: 1.745 (1.210∼2.515)), more time spent playing games per day (OR: 1.347 (1.048∼1.730)), bad physical condition (OR: 2.507 (1.797-3.497)), and severe academic stress (OR: 1.561 (1.126-2.166)).ConclusionAbout half of college students experienced poor sleep, and poor sleep quality was prevalent in women, medical students, and sophomores. Moreover, there were more risk factors associated with the poor sleep quality of women than with men. Health policymakers should fully consider these factors in improving the sleep quality of college students.

Increased CD4 counts, pain and depression are correlates of lower sleep quality in treated HIV positive patients with low baseline CD4 counts

BackgroundSleep disorders are increased with advancing age. Poor sleep quality is a risk factor for cognitive decline and dementia. We aimed 1) to explore the relationship between sleep quality, sleep architecture and cognition; 2) to investigate the association between brain volume and sleep parameters.MethodA total of 95 participants (70 female, mean age 67.18 ± 10 years) were included in this study. Thirty were those with major cognitive disorder patients, twenty‐five individuals had mild cognitive impairment (MCI), and forty were normal controls. Sleep parameters were measured using wrist actigraphy and subjective sleep questioners. The participants were evaluated with high‐resolution MRI. Three Dimensional sequences on Free‐Surfer morphometric procedure was used as the automated segmentation method to obtain brain volume. Demographic data, medical history, sleep characteristics, neuropsychological and mood evaluation were collected from participants.ResultMCI patients had significantly lower sleep efficiency than cognitive healthy persons, 81.30 + 7 .39 % vs. 85.12 + 5.09 %, p=0.04. 66 % of the participants had poor sleep quality. Prevalence of probable REM sleep behavior disorder (RBD) and restless leg syndrome was high in dementia group. Longer sleep latency was associated with worse performance on global cognition. Total sleep time was associated with entorhinal corex volume and hippocampal volume. Sleep latency was associated with hippocampal volumeConclusionSleep disorders were common in both cognitively healthy persons and dementia spectrum disorders. Lower sleep quality and disturbance of sleep maintenance were associated with the development of cognitive impairment. The causes and the consequences of poor sleep quality in patients with dementia spectrum disorders needed to be explored.

BackgroundEndometriosis is a hormone-driven systemic inflammatory condition characterized by endometrial-like lesions which grow throughout the body affecting up to 15% of women worldwide with symptoms including chronic pain, infertility, and persistent fatigue. Many patients report a reduction in their quality of life, potentially driven in part by poor sleep quality. Despite this low sleep quality is not a commonly recognized symptom of endometriosis.ObjectiveWe aimed to examine the association between endometriosis and poor sleep quality.DesignWe conducted a systematic literature review and mixed-effects meta-analysis to evaluate the association between endometriosis and sleep quality.Data sources and methodsSix studies identified through PubMed and Embase met inclusion criteria and were assessed for quality. Between-group standardized mean differences (SMD) were pooled, and sensitivity analyses and meta-regressions were performed to evaluate the influence of between-study heterogeneity.ResultsPooling of all studies produced a standardized mean difference of 0.69 (95% CI: 0.28,1.09) with high heterogeneity (I2 = 94% p<0.01), which equates to a 2.44 (95%CI: 0.99; 3.85) point increase on the Pittsburg Sleep Quality Index (indicating poorer overall sleep quality) for endometriosis patients compared to healthy controls. This association persisted during sensitivity analyses.ConclusionThis observed association may be driven by a pain-sleep quality feedback loop or by the inflammation and hormonal imbalances of endometriosis. While there are several limitations to interpreting these results, including differences in control selections and adjustments for potential confounders between included studies, it is the first quantitative evaluation of the association between endometriosis and poor sleep quality across populations. Since sleep quality predicts chronic pain patterns, future research and patient treatment plans should focus on potential interventions to improve the sleep quality of endometriosis patients experience to reduce the societal and personal burdens of this disease.

Sleep is a very important aspect of human life, as it is responsible for regulation of the circadian cycle, body regeneration and reduction of harmful metabolites. Sleep deprivation can be associated with chronic stress, which can have an extremely negative impact on bodily function. The presented study covered 220 students of medical faculties; their correlations between the sleep quality and the level of perceived stress were analyzed. Sleep quality was measured using the PSQI (Pittsburgh Sleep Quality Index), and perceived stress was measured using PSS-10 (10-Item Perceived Stress Scale). A high correlation was shown between the PSQI and PSS-10 results (rs = 0.60), which means that people who were characterized by a low sleep quality also showed a high level of perceived stress. Among the PSQI components that were the most correlated with PSS-10, can be counted in such components as C1 (subjective sleep quality, rs = 0.50), C2 (sleep latency, rs = 0.51), and C7 (daytime dysfunctions, rs = 0.52). Mobile phone usage at bedtime has also been demonstrated to correlate with poor sleep quality. The study shows a significant relationship between sleep quality and the level of perceived stress, which has also been shown in other studies.