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BACKGROUND: Sleep is a fundamental and complex physiological process whose duration decreases and characteristics change with age. Around 50 % of children will experience sleep disturbances at some point in their early life. Sleep disturbances can result in a number of deleterious consequences, including alterations in the levels of cellular senescence (CS) markers. CS is a complex process essential for homeostasis characterized by the irreversible loss of cell proliferation capacity; however, the accumulation of senescent cells can lead to age-related diseases. OBJECTIVE: In this review, our objective was to gather information about the relationship between sleep duration, sleep-disordered breathing (SDB) and cellular senescence markers, namely: oxidative stress, inflammation, insulin-like growth factor 1 (IGF-1), and growth hormone (GH) in newborns, children, and teenagers. METHODS: To achieve this, we searched six databases: MEDLINE, Scopus, LILACS, Web of Science, Embase, and SciELO, and identified 20 articles that met our inclusion criteria. RESULTS: Our results show that better sleep quality and duration and, both the surgical and non-surgical treatment of sleep disorders are associated with a reduction in oxidative stress, inflammation, and telomeric attrition levels. Furthermore, our results also show that surgical treatment for SDB significantly reduced the levels of cellular senescence markers. Further studies need to be conducted in this area, particularly longitudinal studies, for a greater understanding of the mechanisms involved in the relationship between sleep and senescence. CONCLUSION: Better sleep quality and duration were associated with less oxidative stress, inflammation, and telomeric attrition and a higher level of IGF-1 in children and teenagers.
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PURPOSE: Our study aimed to identify alterations in sleep, inflammatory mediators, fatigue and quality of life in women with dysmenorrhea and compare them to women without dysmenorrhea. METHODS: The sample comprised 328 women from a Brazilian cross-sectional sleep study, EPISONO (2007), who had undergone 1-night polysomnography (PSG) type I and completed questionnaires related to sleep quality, daytime sleepiness, insomnia, fatigue, anxiety, depression, and quality of life. Blood samples were used to assess levels of interleukin 6 (IL-6), tumor necrosis factor-alpha (TNF-alpha), and C-reactive protein (CRP). The 2 groups were distributed based on the presence or absence of dysmenorrhea symptoms. RESULTS: Sleep efficiency was significantly lower in the group of women with dysmenorrhea (82.5% ± 13.8) compared to the non-dysmenorrhea group (86.2% ± 10.9). Dysmenorrhea was associated with significantly higher scores of fatigue and worse scores in the physical quality of life. No statistical differences were detected in inflammatory markers between the 2 groups. DISCUSSION: Fatigue and physical quality of life were presented in women with dysmenorrhea, as was reduced sleep efficiency, although no alteration on inflammatory markers were observed. CONCLUSION: These findings show that dysmenorrhea can have a deleterious effect on women's sleep, with repercussions on daily routines and quality of life.
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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.
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BACKGROUND: Few studies have assessed whether neuropathological markers of AD in the preclinical and prodromal stages are associated with polysomnographic changes and obstructive sleep apnea (OSA). METHODS: This was a cross-sectional, case-control study of older adults (≥60 years) without relevant clinical and psychiatric comorbidities selected randomly from a cohort of individuals without dementia in a tertiary university hospital in São Paulo, Brazil. They underwent neuropsychological evaluation for clinical diagnosis and were allocated into two samples: cognitively unimpaired (CU) and mild cognitive impairment (MCI). Also, they underwent PET-PiB to determine the amyloid profile and all-night in-lab polysomnography. For each sample, we compared polysomnographic parameters according to the amyloid profile (A+ vs A-). RESULTS: We allocated 67 participants (mean age 73 years, SD 10,1), 70 % females, 14 ± 5 years of education, into two samples: CU (n = 28, 42.4 %) and MCI (n = 39, 57.6 %). In the CU sample, the group A+ (n = 9) showed worse sleep parameters than A- (n = 19) (lower total sleep time (p = 0.007), and sleep efficiency (p = 0.005); higher sleep onset latency (p = 0.025), wake time after sleep onset (p = 0.011), and arousal index (AI) (p = 0.007)), and changes in sleep structure: higher %N1 (p = 0.005), and lower %REM (p = 0.006). In the MCI sample, MCI A-had higher AI (p = 0.013), respiratory disturbance index (p = 0.025, controlled for age), and higher rates of severe OSA than A+. DISCUSSION: The amyloid profile was associated with polysomnographic markers of worse sleep quality in individuals with preclinical AD but not with prodromal AD, probably due to the higher frequencies of severe OSA.
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Doença de Alzheimer , Disfunção Cognitiva , Polissonografia , Sintomas Prodrômicos , Qualidade do Sono , Humanos , Feminino , Masculino , Idoso , Estudos Transversais , Estudos de Casos e Controles , Apneia Obstrutiva do Sono , Brasil , Testes Neuropsicológicos/estatística & dados numéricos , Tomografia por Emissão de Pósitrons , Pessoa de Meia-Idade , Amiloide/metabolismoRESUMO
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.
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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.
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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.
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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.
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Síndrome de Cri-du-Chat , Humanos , Projetos Piloto , Síndrome de Cri-du-Chat/complicações , Síndrome de Cri-du-Chat/fisiopatologia , Síndrome de Cri-du-Chat/diagnóstico , Masculino , Feminino , Criança , Pré-Escolar , Transtornos do Sono-Vigília/etiologia , Transtornos do Sono-Vigília/fisiopatologia , Transtornos do Sono-Vigília/diagnóstico , Adolescente , Polissonografia , Sono/fisiologiaRESUMO
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.
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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.
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Algoritmos , Síndromes da Apneia do Sono , Fases do Sono , Humanos , Síndromes da Apneia do Sono/diagnóstico , Masculino , Feminino , Fases do Sono/fisiologia , Pessoa de Meia-Idade , Adulto , Dispositivos Eletrônicos Vestíveis , Redes Neurais de Computação , Fotopletismografia/instrumentação , Fotopletismografia/métodos , Polissonografia/instrumentação , Frequência Cardíaca/fisiologia , Acelerometria/instrumentação , Acelerometria/métodos , IdosoRESUMO
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.
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Ritmo Circadiano , Qualidade do Sono , Sono , Estudantes , Humanos , Feminino , Masculino , Ritmo Circadiano/fisiologia , Adulto Jovem , Estudos Transversais , Adulto , Inquéritos e Questionários , Sono/fisiologia , Depressão , Ansiedade , Adolescente , UniversidadesRESUMO
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.
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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.
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Homocisteína , Apneia Obstrutiva do Sono , Humanos , Apneia Obstrutiva do Sono/sangue , Apneia Obstrutiva do Sono/diagnóstico , Apneia Obstrutiva do Sono/epidemiologia , Homocisteína/sangue , Masculino , Pessoa de Meia-Idade , Adulto , Feminino , Idoso , Estudos Longitudinais , Fatores de Risco , Idoso de 80 Anos ou mais , Polissonografia , Adulto Jovem , Índice de Gravidade de Doença , Biomarcadores/sangueRESUMO
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.
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Depressão , Estudo de Associação Genômica Ampla , Transtornos do Sono-Vigília , Humanos , Masculino , Feminino , Depressão/genética , Transtornos do Sono-Vigília/genética , Transtornos do Sono-Vigília/complicações , Pessoa de Meia-Idade , Adulto , Brasil/epidemiologia , Herança Multifatorial/genética , Estudos de CoortesRESUMO
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.
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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.