Erectile dysfunction and sleep related bruxism: An exploratory review of an improbable association.

The World Health Organization recognizes sexual health as not merely the absence of disease, but a state of physical, mental, and social well-being in relation to one's sexuality. Achieving sexual satisfaction is pivotal for many individuals, as it significantly contributes to their quality of life. Among various sexual disorders, erectile dysfunction (ED) is notably prevalent, affecting an estimated 10-20 million men in the United States alone. This condition impacts not just the person experiencing it but also significantly influences their intimate connections with partners. Although the causes of ED are multifactorial, recent research highlights a compelling association between sleep disorders, such as sleep deprivation, obstructive sleep apnea (OSA), and insomnia, and the incidence of ED. Furthermore, engaging in night work has been observed to exacerbate the risk of developing ED. One common sleep disorder, sleep related bruxism (SRB), despite its prevalence, has not generally been associated with ED. However, there is some interesting evidence hinting at a potential relationship, including a few studies reporting a high prevalence of ED in individuals with SRB. This review delves into the epidemiological, etiological, and mechanistic links between ED and SRB, aiming to uncover potential intersections between these two conditions. These insights could pave the way for innovative research avenues, possibly exploring treatments like vasodilation medication, that might concurrently address both ED and SRB.

Sleep is associated with telomere shortening: A population-based longitudinal study.

As the chronological age increases, there is a decrease in the telomere length (TL). Associations between TL and age-related diseases have been described. Since the major pathophysiological factors related to inadequate sleep (including sleep complaints and sleep disorders) contribute to the exacerbation of inflammation and oxidative stress, an association of sleep and TL has been proposed. The aim of this study was to evaluate the association between sleep-related variables with TL in a longitudinal framework. We used data derived from the EPISONO cohort, which was followed over 8 years. All individuals answered sleep-related questionnaires, underwent a full-night polysomnography (PSG), and had their blood collected for DNA extraction. The TL was measured through a quantitative real time polymerase chain reaction. Age, sex, body mass index (BMI), smoking, physical activity status, and the 10 principal components (ancestry estimate) were considered covariables. Of the 1042 individuals in the EPISONO cohort, 68.3% agreed to participate in the follow-up study (n = 712). Baseline SpO2 (ß = 0.008, p = 0.007), medium SpO2 (ß = 0.013, p = 0.013), and total sleep time <90% (ß = -0.122, p = 0.012) had an effect on TL from the follow-up. The 8 year TL attrition was inversely associated with total sleep time, sleep efficiency, sleep architecture variables, wake after sleep onset, arousal index, oxygen-related variables baseline, and the presence of obstructive sleep apnea (OSA). We conclude that individuals with worse sleep quality, alterations in sleep architecture, and OSA had greater TL attrition over the 8 years. Using a longitudinal approach, these findings confirm previous cross-sectional evidence linking sleep with accelerated biological ageing.

Subjective sleep assessment in individuals with SYNGAP1-associated syndrome.

STUDY OBJECTIVES: Sleep disturbances are common in neurodevelopmental disorders (NDDs), affecting patients and caregivers' quality of life. SYNGAP1-associated syndrome, a rare NDD, is marked by intellectual disability, developmental delay, epilepsy, and sleep issues. However, research on sleep quality in these individuals is limited. This study aimed to evaluate genetic variants, epilepsy, and sleep patterns in SYNGAP1-associated syndrome patients and their caregivers. METHODS: An online survey was applied to 11 caregivers of individuals diagnosed with SYNGAP1-associated syndrome. Specific clinical inquiries were included, addressing childbirth, previous surgeries, and medication use. Inquiries about epilepsy included type of epilepsy, type and frequency of seizures, anti-seizure medications, and complementary non-pharmacological treatments. Children's Sleep Habits Questionnaire (CSHQ) was applied to assess the patients' sleep profile. Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep quality of caregivers. RESULTS: Genetic analysis showed heterozygous mutations in SYNGAP1, often leading to loss of function. Epilepsy was present in 82% of participants, with 77.8% having drug-resistant seizures. Using the Children's Sleep Habits Questionnaire (CSHQ), 81.8% of patients exhibited poor sleep habits, including bedtime resistance, anxiety, night awakenings, parasomnias, and daytime sleepiness. Caregivers also reported poor sleep quality according to the Pittsburgh Sleep Quality Index (PSQI). CONCLUSIONS: This study highlights the high prevalence of epilepsy and sleep problems in SYNGAP1-associated syndrome, impacting both patients and caregivers. Further research is crucial to understand the syndrome's effects on sleep disturbances, emphasizing the need for targeted interventions to improve sleep quality in individuals with rare genetic syndromes and their caregivers.

The Impact of Sleep: From Ancient Rituals to Modern Challenges.

Although sleep is crucial for mental and physical health, insufficient sleep is a growing problem in our modern society. In general, adults need approximately eight hours of sleep per night, but this is often unfeasible nowadays. This sleep restriction has been observed, and it has worsened, throughout the past two centuries; therefore, it is more attributed to socioeconomic changes than to biological adaptations. The most important factors to contribute to this sleep restriction were the popularization of artificial light and industrialization. The present manuscript briefly overviews, from a socioanthropological perspective, the reasons why sleep has been impacted, disclosing its effects on individuals and on society.

Kinesin binding as a shared pathway underlying the genetic basis of male factor infertility and insomnia.

OBJECTIVE: To study whether male factor infertility and insomnia share genetic risk variants and identify any molecular, cellular, and biologic interactions between these traits. DESIGN: The in silico study was performed. Two lists of genetic variants were manually curated through a literature review, one of those associated with male factor infertility and the other with insomnia. Genes were assigned to these variants to compose male factor infertility-associated (454 genes) and insomnia-associated (921 genes) gene lists. SETTING: Not applicable. PATIENT(S): Not applicable. INTERVENTION(S): Not applicable. MAIN OUTCOME MEASURE(S): Enrichment of biologic pathways and protein-protein interaction analysis. RESULT(S): Twenty-eight genes were common to both lists, representing a greater overlap than would be expected by chance. In the 28 genes contained in the intersection list, there was a significant enrichment of pathways related to kinesin binding. A protein-protein interaction analysis using the intersection list as input retrieved 25 nodes and indicated that two of them were kinesin-related proteins (PLEKHM2 and KCL1). CONCLUSION(S): The shared male factor infertility and insomnia genes, and the biologic pathways highlighted in this study, suggest that further functional investigations into the interplay between fertility and sleep are warranted.

Sleep staging algorithm based on smartwatch sensors for healthy and sleep apnea populations.

OBJECTIVE: Sleep stages can provide valuable insights into an individual's sleep quality. By leveraging movement and heart rate data collected by modern smartwatches, it is possible to enable the sleep staging feature and enhance users' understanding about their sleep and health conditions. METHOD: In this paper, we present and validate a recurrent neural network based model with 23 input features extracted from accelerometer and photoplethysmography sensors data for both healthy and sleep apnea populations. We designed a lightweight and fast solution to enable the prediction of sleep stages for each 30-s epoch. This solution was developed using a large dataset of 1522 night recordings collected from a highly heterogeneous population and different versions of Samsung smartwatch. RESULTS: In the classification of four sleep stages (wake, light, deep, and rapid eye movements sleep), the proposed solution achieved 71.6 % of balanced accuracy and a Cohen's kappa of 0.56 in a test set with 586 recordings. CONCLUSION: The results presented in this paper validate our proposal as a competitive wearable solution for sleep staging. Additionally, the use of a large and diverse data set contributes to the robustness of our solution, and corroborates the validation of algorithm's performance. Some additional analysis performed for healthy and sleep apnea population demonstrated that algorithm's performance has low correlation with demographic variables.

Bimodal diurnal preference in undergraduate students is associated with negative health and sleep outcomes.

The bimodal preference is a fourth diurnal preference proposed by re-scoring the Morningness-Eveningness Questionnaire. The present work aimed to describe the prevalence of the bimodal preference in a sample of undergraduate students and to characterize the bimodal type in terms of their health and sleep-related outcomes. A web-based cross-sectional study conducted between September 2018 and March 2021 (convenience sampling method). The sample was composed of undergraduate students who completed an electronic form that included the Morningness and Eveningness Questionnaire, the Pittsburgh Sleep Quality Index, the Self-Compassion Scale, the Epworth Sleepiness Scale, the Hospital Anxiety and Depression Scale, and the World Health Organization Subjective Well-Being Index. The final sample consisted of 615 students (82% female, mean age: 23.4 ± 6.5 years), of whom 108 (18%) had positive bimodality indexes. Bimodal subjects comprised 48 students, 8% of the total sample. Bimodal subjects had poorer subjective sleep quality, more daytime sleepiness, lower subjective well-being, greater anxiety and depression symptoms, and lower self-compassion than morning and/or intermediate types; they did not differ from evening types. The description of bimodal diurnal preference in this population may be of interest for the design of academic policies more in line with the circadian reality of students.

Insomnia Symptoms and Menstrual Health: Is There a Link in Women During Reproductive Phase of Life?

OBJECTIVES: To investigate the association between insomnia severity symptoms and menstrual health, fatigue and anxiety symptoms in women at reproductive age. METHOD: We used data from EPISONO (2007), an epidemiological study from the city of São Paulo, Brazil. Women completed the Insomnia Severity Index (ISI), the Chalder Fatigue Scale (CFS), and the Beck Anxiety Inventory (BAI) to obtain information about insomnia, fatigue, and anxiety symptoms. For menstrual health, we collected information using our Institutional Women's Questionnaire about menstrual flow and duration, the presence of pain during menstruation and menstrual cycle regularity. The statistical analysis was performed using ordinal logistic regression, considering p < .05. RESULTS: Of the 1,042 participants, only 282 women met the inclusion criteria to participate in this study. The mean age was 34.4 years (SD ± 8.36), and the body mass index (BMI) was 25.7 (SD ± 5.39). According to the model, a 1-unit higher CFS score increased the odds of having more insomnia symptoms in the ISI (OR = 1.170; 95% CI=[1.073; 1.279]; p < .001). In the same way, a 1-unit higher BAI score increased the chance of presenting insomnia symptoms, according to the ISI (OR = 1.072; 95% CI=[1.042; 1.104]; p < .001). The menstrual variables did not represent statistical significance in the model. CONCLUSIONS: Fatigue and anxiety symptoms were associated with insomnia symptoms; however, no association was observed between menstrual health and insomnia. The need to examine sleep when there are sleep complaints is essential to provide an accurate diagnosis that facilitates appropriate treatment and to provide better sleep quality for women.

Homocysteine as a predictor of apnea-hypopnea index in obstructive sleep apnea: a longitudinal epidemiological study (EPISONO).

BACKGROUND: Obstructive sleep apnea (OSA) affects nearly 1 billion people globally, and has established links with cardiovascular and neurocognitive complications. Although it has some limitations, the apnea-hypopnea index (AHI) is commonly used to gauge OSA severity and therapeutic response. Homocysteine (Hcy) metabolism, when impaired, can elicit cellular senescence mechanisms that may be shared with OSA. Hence, our objective was to explore the role of Hcy concentrations both as a predictor of AHI values and as a potential risk factor for OSA. METHODS: Involving 1042 volunteers aged 20 to 80 years, the initial study (2007) included polysomnographic evaluations, questionnaires on sleep and general health, as well as biochemical analyses. After an 8-year interval, 715 participants from the initial study were invited for a follow-up assessment in 2015. RESULTS: Our findings showed that Hcy was a predictor for an increased AHI, and AHI increased over time. Individuals with plasma Hcy concentrations ≥ 15 µmol/L experienced an average AHI increase of 7.43 events/hour ([beta coefficient] ß = 7.43; 95%CI 2.73 to 12.13) over time, compared to those with plasma concentrations < 10 µmol/L. A similar trend was apparent in those with plasma Hcy concentrations between 10 ≥ and < 15 µmol/L, who had an AHI increase with an average beta coefficient of 3.20 events/hour (95%CI 1.01 to 5.39) compared to those with plasma Hcy concentrations < 10 µmol/L. CONCLUSIONS: In summary, our study suggests that increased plasma Hcy concentrations could be considered a risk factor for the development of OSA. These findings highlight that elevated plasma Hcy concentrations can predict the severity of OSA, underscoring their correlation with the AHI.

Shared genetic mechanisms underlying association between sleep disturbances and depressive symptoms.

OBJECTIVES: Polygenic scores (PGS) for sleep disturbances and depressive symptoms in an epidemiological cohort were contrasted. The overlap between genes assigned to variants that compose the PGS predictions was tested to explore the shared genetic bases of sleep problems and depressive symptoms. METHODS: PGS analysis was performed on the São Paulo Epidemiologic Sleep Study (EPISONO, N = 1042), an adult epidemiological sample. A genome wide association study (GWAS) for depression grounded the PGS calculations for Beck Depression Index (BDI), while insomnia GWAS based the PGS for Insomnia Severity Index (ISI) and Pittsburg Sleep Quality Index (PSQI). Pearson's correlation was applied to contrast PGS and clinical scores. Fisher's Exact and Benjamin-Hochberg tests were used to verify the overlaps between PGS-associated genes and the pathways enriched among their intersections. RESULTS: All PGS models were significant when individuals were divided as cases or controls according to BDI (R2 = 1.2%, p = 0.00026), PSQI (R2 = 3.3%, p = 0.007) and ISI (R2 = 3.4%, p = 0.021) scales. When clinical scales were used as continuous variables, the PGS models for BDI (R2 = 1.5%, p = 0.0004) and PSQI scores (R2 = 3.3%, p = 0.0057) reached statistical significance. PSQI and BDI scores were correlated, and the same observation was applied to their PGS. Genes assigned to variants that compose the best-fit PGS predictions for sleep quality and depressive symptoms were significantly overlapped. Pathways enriched among the intersect genes are related to synapse function. CONCLUSIONS: The genetic bases of sleep quality and depressive symptoms are correlated; their implicated genes are significantly overlapped and converge on neural pathways. This data suggests that sleep complaints accompanying depressive symptoms are not secondary issues, but part of the core mental illness.

The interplay between X-chromosome functional dosage and circadian regulation in females.

PURPOSE: Biological factors and mechanisms that drive higher prevalence of insomnia in females are poorly understood. This study focused on the neurological consequences of X-chromosome functional imbalances between sexes. METHODS: Benefited from publicly available large-scale genetic, transcriptional and epigenomic data, we curated and contrasted different gene lists: (1) X-liked genes, including assignments for X-chromosome inactivation patterns and disease associations; (2) sleep-associated genes; (3) gene expression markers for the suprachiasmatic nucleus. RESULTS: We show that X-linked markers for the suprachiasmatic nucleus are significantly enriched for clinically relevant genes in the context of rare genetic syndromes and brain waves modulation. CONCLUSION: Considering female-specific patterns on brain transcriptional programs becomes essential when designing health care strategies for mental and sleep illnesses with sex bias in prevalence.

Leptin moderates the relationship between sleep quality and memory function: A population-based study.

Sleep is crucial for memory, as it promotes its encoding, consolidation, storage, and retrieval. Sleep periods following learning enhance memory consolidation. Leptin, a hormone that regulates appetite and energy balance, also influences memory and neuroplasticity. It plays a neurotrophic role in the hippocampus, enhancing synaptic function and promoting memory processes. Given these associations between sleep, memory, and leptin, this study aimed to evaluate the interplay between sleep quality, memory complaints and leptin levels. Using data from the São Paulo Epidemiologic Sleep Study (EPISONO) 2007 edition, we analyzed data from 881 participants who underwent evaluations for subjective sleep quality (Pittsburgh Sleep Quality Index), memory function (Prospective and Retrospective Memory Questionnaire), body mass index and plasmatic leptin levels. After confirming that subjects with poor sleep quality had more memory complaints in our cohort, we observed that leptin levels were increased in individuals with more memory complaints, but there was no association between leptin levels and sleep quality. Mediation analysis reinforced the direct effect of sleep quality on memory function, but leptin had no indirect effect as mediator over the sleep-memory association. Moderation analysis revealed that leptin acted as a moderator in the relationship between sleep quality and memory, with increased leptin levels enhancing the effect of sleep quality over memory function. These findings underscore the intricate interplay between sleep, memory, and metabolic factors like leptin, shedding light on potential mechanisms through which sleep influences memory and cognitive functions. Further research is needed to elucidate the exact mechanisms underlying these relationships and their implications for overall health and well-being.

The relationship between sleep- and circadian rhythm-related parameters with dietary practices and food intake of sedentary adults: a cross-sectional study.

We aimed to explore the link between sleep-related parameters and dietary practices. This cross-sectional exploratory study includes sedentary individuals between 20 and 59 years of age. We applied exigent inclusion and exclusion criteria, such as weight stability and without humor- or sleep-related diseases. Also, shift workers were not included. We evaluated sleep quality (by Pittsburg Sleep Quality Index; PSQI), sleepiness (by Epworth Sleepiness Scale), chronotype (by Morningness Eveningness Questionnaire; MEQ), and social jetlag from sleep dairy. Moreover, Food Practices Measurement Scale was used to assess dietary practices. Food intake estimates (i. e., energy, eating window, and late-night dinner eating) were derived from two 24-h food recalls (R24h). For analysis, dietary practices and energy intake from R24h were considered dependent variables, while PSQI, ESS, MEQ, STJ, EW, and LNDE were considered independent variables. Our sample comprises 42 adults (21 women and 21 men; 35.4 (12.5) y; 25.6 (5.21) kg/m2 BMI; 26.5 (7.97) % body fat). We verified that persons with poor sleep quality showed lower dietary practice scores (MD - 6.68; p = 0.021). Besides, in regression analysis, chronotype (ß = 0.266; p = 0.039) was positively associated with dietary practices, and eating window was positively associated with energy intake (ß = 267 kcal; p = 0.023). In contrast to our hypothesis, other sleep- and circadian-related variables were not associated with dietary practices or energy intake. In summary, we conclude that morning chronotype appears to be related to better dietary practices from the Food Guide for the Brazilian Population guide and that higher eating window was positively associated with energy intake.

Dietary Inflammatory Index of Obese Individuals with Obstructive Sleep Apnea: A Descriptive Study.

The objective of the present study was to describe the dietary inflammatory profile and its correlations with sleep parameters of obese individuals with obstructive sleep apnea (OSA). Forty individuals underwent nocturnal polysomnography, anthropometric measurements, body composition by plethysmography, assessment of food consumption by three-day food records, and blood collection for the lipid, glycemic and hormonal profile. Food consumption data were evaluated semiquantitatively, quantitalively assessment, and calculation of the dietary inflammatory index (DII) was perfomed. The results demonstrated a predominantly proinflammatory dietary profile. The participants showed a low intake of fruit and vegetables. Additionally, a low consumption of fiber, magnesium, vitamin D, and vitamin E was observed, although there was an adequate distribution of macronutrients. In conclusion, although the inflammatory profile did not correlate with OSA, the study showed a directly proportional relationship between adequate dietary patterns and better sleep quality.

Understanding Sexual Parasomnias: A Review of the Current Literature on Their Nature, Diagnosis, Impacts, and Management.

Sexual behavior during sleep, known as sexual parasomnias, has captured the interest of researchers and clinicians. These parasomnias involve various sexual activities that occur unconsciously during sleep. Although relatively rare, they can profoundly affect well-being and relationships and can carry legal consequences. Understanding their nature, prevalence, and causes is crucial for advancing knowledge in this field. This article revisits the topic of sexsomnia, presenting new data and discussing cases published from 2007 to 2023. By analyzing these cases, we aim to enhance recognition, diagnosis, and management of sexsomnia, reducing stigma and providing better support for affected individuals.