Sleep Medicine: X最新文献

{"title":"Sleep and circadian hygiene practices association with sleep quality among Brazilian adults","authors":"Laura Castro-Santos ,&nbsp;Márcia de Oliveira Lima ,&nbsp;Anny Kariny Pereira Pedrosa ,&nbsp;Renan Serenini ,&nbsp;Risia Cristina Egito de Menezes ,&nbsp;Giovana Longo-Silva","doi":"10.1016/j.sleepx.2023.100088","DOIUrl":"https://doi.org/10.1016/j.sleepx.2023.100088","url":null,"abstract":"<div><h3>Objective</h3><p>To investigate the association of sleep and circadian hygiene practices (sleep-promoting and sleep-disturbing behaviors) with sleep quality indicators.</p></div><div><h3>Methods</h3><p>Participants (n = 2050; 18–65 y) were part of virtual population-based research. Logistic regression models were fitted to assess differences in the OR (95% CI) of poor quality with sleep-promoting/disturbing practices (time-of-day of exercise, pre-bedtime routine, naps, electronic devices with illuminated screens, caffeine and alcohol consumption, and smoking). Linear regression analyses evaluated differences in sleep duration, latency, and awakenings associated with the same variables. Restricted cubic splines were used to study the shape of the association of screen time before bed with sleep duration, latency, and awakenings. Analyses were adjusted for age, sex, region, marital status, educational level, evening diet quality, and BMI.</p></div><div><h3>Results</h3><p>Evening use of electronic devices with illuminated screens showed a negative effect on all sleep parameters. Reporting dinner as the largest meal and evening caffeine consumption was associated with shorter sleep duration and longer sleep latency. Smokers had higher odds of longer latency. A protective effect of morning exercises was demonstrated on sleep quality, latency, and awakenings. Alcohol consumers presented lower odds of poor quality and lower frequency of awakenings. Pre-bedtime practices showed no or negative effect on sleep outcomes.</p></div><div><h3>Conclusions</h3><p>Recommendations to promote sleep quality and prevent sleep-related problems, with corresponding circadian health benefits, should include engaging in regular exercise, preferably in the morning, and avoiding naps, heavy meals close to bedtime, caffeine, smoking, and evening screen exposure.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"6 ","pages":"Article 100088"},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49775637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cardiovascular diseases across OSA phenotypes: A retrospective cohort study","authors":"Khaled Al Oweidat ,&nbsp;Ahmad A. Toubasi ,&nbsp;Thuraya N. Al-Sayegh ,&nbsp;Rima A. Sinan ,&nbsp;Sara H. Mansour ,&nbsp;Hanna K. Makhamreh","doi":"10.1016/j.sleepx.2023.100090","DOIUrl":"https://doi.org/10.1016/j.sleepx.2023.100090","url":null,"abstract":"<div><h3>Background</h3><p>Despite the considerable knowledge of Obstructive Sleep Apnea (OSA) implications for cardiac diseases, the evidence regarding cardiovascular complications across OSA phenotypes including Rapid Eye Movement OSA (REM-OSA) and Positional OSA (POSA) is limited. In this study, we aimed to evaluate the risk of cardiovascular diseases development and progression among patients with REM-OSA and POSA.</p></div><div><h3>Methods</h3><p>Based on a retrospective cohort analysis, we included polysomnography studies done in the sleep lab at the Jordan University Hospital. Regarding cardiovascular diseases, primary outcomes were Heart Failure, and 1-years Major Adverse Cardiac Events while secondary outcomes were atrial fibrillation, pulmonary hypertension, other arrhythmia, metabolic profile, and echocardiographic measurements of the heart.</p></div><div><h3>Results</h3><p>The total number of the included patients was 1,026 patients. POSA group had significantly lower percentage of patients with hypertension (P-value = 0.004). Additionally, systolic blood pressure and HbA1c were significantly lower among patients with POSA compared to the NPOSA group (P-value&lt;0.050). Left ventricular end diastolic dimension was significantly higher among patients with POSA while ejection fraction was significantly lower (P-value&lt;0.050). Patients with diabetes and mean HbA1c were significantly lower among patients with REM-OSA compared to patients with NREM-OSA (P-value = 0.015, P-value = 0.046). Multivariate regression analysis revealed that after adjusting for age, gender and preexisting comorbidities, POSA was significantly associated with lower ejection fraction and higher left ventricular diastolic diameter.</p></div><div><h3>Conclusion</h3><p>In conclusion, our findings indicate that POSA might be associated with huge and clinically significant heart strain and poor cardiac functions, yet it might not have a clinically significant atherogenic effect. This study should guide clinicians to identify OSA phenotypes to imply the best treatment plan to reduce its detrimental impact on cardiac muscle.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"6 ","pages":"Article 100090"},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49775638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship between sleep problems and headaches among adolescents: Pelotas 2004 Birth cohort","authors":"Isabel Oliveira Bierhals ,&nbsp;Gabriel Santana Pereira de Oliveira ,&nbsp;Iná S. Santos ,&nbsp;Camila S. Halal ,&nbsp;Luciana Tovo-Rodrigues ,&nbsp;Alicia Matijasevich ,&nbsp;Fernando C. Barros","doi":"10.1016/j.sleepx.2023.100079","DOIUrl":"10.1016/j.sleepx.2023.100079","url":null,"abstract":"<div><h3>Objective</h3><p>To investigate the cross-sectional association between sleep problems (the exposure) and headaches (the outcome) among 15-year-olds from the Pelotas 2004 Birth Cohort, a population-based study in the south of Brazil.</p></div><div><h3>Method</h3><p>The occurrence of headaches was obtained through the question: “Do you usually suffer headaches?” and the ICHD-3 criteria were used to classify as: tension-type headache, headache with characteristics of migraine with or without aura, or other. Regarding sleep, the weekly frequency in the last month of insomnia and bad dreams/nightmares, and self-reported sleep quality were investigated. Unadjusted and adjusted prevalence ratios (PR) with 95% confidence intervals were calculated using Poisson regression with robust variance.</p></div><div><h3>Results</h3><p>A total of 1916 adolescents were analyzed. The prevalence of headaches was 51.6% (69.0% in females and 34.8% in males): 31.8% (39.7% vs. 24.1%) reported tension-type headache; 14.7% (21.9% vs. 7.8%), headaches with characteristics of migraines without aura; 3.6%, headaches with characteristics of migraines with aura; and 1.5% (5.1% vs. 2.3%), other types. Adolescents with insomnia ≥3 times/week presented higher probability of headaches (PR = 1.54; 95%CI 1.23–1.93), compared with those with no problems falling asleep or maintaining sleep. Among those who classified their sleep as poor/very poor, the probability of headaches was 33% higher (PR = 1.33; 95%CI 1.13–1.57) than among those who classified their sleep as very good.</p></div><div><h3>Conclusions</h3><p>Headaches were highly prevalent among the adolescents and were related to sleep problems even after allowing for several confounders.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"6 ","pages":"Article 100079"},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/61/f4/main.PMC10359655.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9863956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond sleep duration: Sleep timing is associated with BMI among Brazilian adults","authors":"Giovana Longo-Silva ,&nbsp;Anny Kariny Pereira Pedrosa ,&nbsp;Priscilla Marcia Bezerra de Oliveira ,&nbsp;Jéssica Ribeiro da Silva ,&nbsp;Risia Cristina Egito de Menezes ,&nbsp;Patricia de Menezes Marinho ,&nbsp;Renan Serenini Bernardes","doi":"10.1016/j.sleepx.2023.100082","DOIUrl":"10.1016/j.sleepx.2023.100082","url":null,"abstract":"<div><h3>Objectives</h3><p>To examine the association of sleep duration and timing with BMI among adults. Also, to identify obesogenic and unhealthy behaviors (e.g.diet/sleep quality, physical activity, screen time, smoking) associated with short sleep duration and late bedtime.</p></div><div><h3>Participants</h3><p>Participants (n=755) were part of exploratory, population-based research, with data collection in a virtual environment.</p></div><div><h3>Methods</h3><p>For purposes of characterizing the population we considered short sleepers&lt;7h/night, and the population bedtime median was used to stratify participants into early and late sleepers (before and after 23:08). Student's t-test and chi-square test were performed to assess differences in characteristics between groups. Linear regression analyses were conducted to determine the association of sleep duration, bedtime, and wake-up time with BMI. Quantile regression was estimated for the 25th, 50th, and 75th quantiles to identify the distributional correlations between BMI and sleep variables. Restricted cubic splines were also used to study the shape of the association between sleep-BMI. Analyses were adjusted for potential confounding variables.</p></div><div><h3>Results</h3><p>BMI decreased by 0.40Kg/m2 for each additional hour of sleep duration [95%CI=-0.68,-0.12,p=0.005] and increased by 0.37 kg/m² for each additional hour of bedtime [95%CI=0.12,0.61,p=0.003]. The association between bedtime and BMI remained even after adjustment for sleep duration. These effects were higher and stronger with higher BMI values (p75^th). Wake-up time did not show statistically significant associations.</p></div><div><h3>Conclusions</h3><p>Because we found that beyond sleep duration, bedtime was significantly associated with BMI, our data reflect the pertinence of assessing sleep timing patterns in disentangling sleep-obesity association. Insights into the characteristics, obesogenic and unhealthy behaviors related to short and late sleep may support specific strategies to prevent and treat excess body adiposity and other negative health outcomes.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"6 ","pages":"Article 100082"},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/f5/d1/main.PMC10404800.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9956245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and incidence of narcolepsy symptoms in the US general population","authors":"Maurice M. Ohayon ,&nbsp;Stéphanie Duhoux ,&nbsp;Joseph Grieco ,&nbsp;Marie-Lise Côté","doi":"10.1016/j.sleepx.2023.100095","DOIUrl":"https://doi.org/10.1016/j.sleepx.2023.100095","url":null,"abstract":"<div><h3>Objective</h3><p>The objectives of this study are to evaluate the prevalence and incidence of Narcolepsy type 1 and type 2 and to determine the prevalence of narcolepsy diagnosis criteria in the US general population.</p></div><div><h3>Methods</h3><p>This longitudinal study was conducted in the adult US general population in two occasions. The initial interviews included 15 states (Arizona, California, Colorado, Florida, Idaho, Missouri, New York, North Carolina, North Dakota, Oregon, Pennsylvania, South Dakota, Texas, Washington, and Wyoming). The follow-up interviews, was done three years later in eight of these states. Of the 19,136 contacted individuals, 15,929 completed the initial interview and 10,931 completed the follow-up. Participants were interviewed using the Sleep-EVAL system, an artificial intelligence tool. Narcolepsy Type 1 (with cataplexy) and Narcolepsy Type 2 (without cataplexy) were defined according to the ICSD-3 classification. Symptoms of narcolepsy were assessed by frequency per week and duration. Medical visits and diagnoses were also collected.</p></div><div><h3>Results</h3><p>Participants were aged between 18 and 102 years of age (mean 45.8 ± 17.9 years), 51.3 % were women. The prevalence of narcolepsy with cataplexy was 12.6 per 100,000 individuals (95 % C.I., 0 to 30) and narcolepsy without cataplexy was 25.1 per 100,000. The incidence per year was 2.6 per 100,000 individuals (95 % C.I., 0 to 11).</p></div><div><h3>Conclusions</h3><p>Narcolepsy is a rare condition affecting 37.7/100,000 individuals (126,191 individuals in the current US population). Our US general population prevalence is in line with rates found in community-based studies but lower than what is reported in claim database studies.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"6 ","pages":"Article 100095"},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590142723000356/pdfft?md5=3ea0cddca975ff7a3f32cd4f0d593dc4&pid=1-s2.0-S2590142723000356-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138502000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of Narval CC™ device in the treatment of obstructive sleep apnea","authors":"Johan H. Therchilsen ,&nbsp;Poul Kirketerp ,&nbsp;Preben Homoe","doi":"10.1016/j.sleepx.2023.100076","DOIUrl":"https://doi.org/10.1016/j.sleepx.2023.100076","url":null,"abstract":"","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"6 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49775636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"COVID-19 breakthrough infections and sleep disorders: A population-based propensity matched analysis","authors":"Mantavya Punj ,&nbsp;Aakash Desai ,&nbsp;Jana G. Hashash ,&nbsp;Francis A. Farraye ,&nbsp;Pablo R. Castillo","doi":"10.1016/j.sleepx.2023.100089","DOIUrl":"https://doi.org/10.1016/j.sleepx.2023.100089","url":null,"abstract":"<div><h3>Objectives</h3><p>Examine risks for breakthrough COVID-19 infections in vaccinated patients with selected sleep disorders.</p></div><div><h3>Methods</h3><p>Real-time search and analysis using the TriNetX platform to evaluate risk of COVID-19 breakthrough infections (BTI) for patients having ICD-10 diagnoses relating to insomnia, circadian rhythm disorders, and inadequate sleep. The sleep disorder and control cohorts underwent propensity matching including factors for age, gender, race, ethnicity, and multiple co-morbid conditions.</p></div><div><h3>Results</h3><p>Of 24,720 patients identified as having a sleep disturbance relating to insomnia, circadian rhythm disorder, or inadequate sleep, 815 (3.2 %) were found to have a developed a BTI. There was a significant increased risk of BTI noted between the sleep disorder and control cohorts (adjusted odds ratio (aOR) of 1.40, 95 % confidence interval (CI) of 1.23–1.58). Subgroup analysis showed an elevated risk for BTI receiving two doses (aOR 1.53, 95 % CI 1.24–1.89) versus three doses (aOR 1.45, 95 % CI 1.24–1.69). Patients with the sleep disturbance were not found to be at an increased risk of hospitalization, intubation, death, or composite outcome of death and intubation.</p></div><div><h3>Conclusion</h3><p>The presence of having a diagnosis of insomnia, circadian rhythm disorder, or inadequate sleep was associated with increased risk of COVID-19 breakthrough infection.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"6 ","pages":"Article 100089"},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49816417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep disorders after COVID-19 in Czech population: Post-lockdown national online survey","authors":"Tereza Dvořáková ,&nbsp;Radana Měrková ,&nbsp;Jitka Bušková","doi":"10.1016/j.sleepx.2023.100087","DOIUrl":"10.1016/j.sleepx.2023.100087","url":null,"abstract":"<div><h3>Objective</h3><p>This study aimed to determine the frequency, type, and correlates of a broad spectrum of sleep disorders in adults with COVID-19 up to 32 months after infection.</p></div><div><h3>Methods</h3><p>We conducted a national online survey (Jun 2021–Dec 2022), gathering information on COVID-19 diagnosis, acute disease course, and the subsequent development of sleep disorders from 1507 respondents (mean age 44.5 ± 13.1 years, 64.1% women).</p></div><div><h3>Results</h3><p>81.3% (1223) reported at least one sleep difficulty that either worsened or first appeared with COVID-19. Females reported a higher number of symptoms (2.03 ± 1.44 versus 1.72 ± 1.43 in men, p &lt; 0.0001). Most common were insomnia symptoms (59.4%), followed by night sweats (38.4%), hypersomnolence (33.3%), vivid dreams or nightmares (26.4%), restless leg syndrome (RLS) (22.8%), and sleep-related breathing disorders (11.1%). All symptoms were associated with a more severe acute disease. A mild decreasing trend in the persistence of sleep symptoms with a longer latency since infection was observed, with 66.7% reporting at least half of their symptoms present at 3–5 months after acute infection, compared to 64.9% at 6–8 months, and 62.4% at 9–11 months (p = 0.0427). However, among those after 12 or more months, over half of the symptoms persisted in 69.5%. The frequency of vivid dreams and nightmares increased in association with COVID-19 in 32.9% (p &lt; 0.001). 9.4% (141) reported new-onset or increased parasomnic manifestations after the infection.</p></div><div><h3>Conclusions</h3><p>Our research shows that sleep disturbances are a common and persistent manifestation of COVID-19 that affects a large proportion of the population and deserves careful monitoring.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"6 ","pages":"Article 100087"},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/30/a3/main.PMC10551886.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41137183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep mediates the relationship between precarious employment and mental health","authors":"Saeed Jaydarifard ,&nbsp;Simon S. Smith ,&nbsp;Kalina R. Rossa ,&nbsp;Dwayne Mann ,&nbsp;Elahe Nikooharf Salehi ,&nbsp;Shamsi Shekari Soleimanloo","doi":"10.1016/j.sleepx.2023.100092","DOIUrl":"10.1016/j.sleepx.2023.100092","url":null,"abstract":"<div><h3>Background</h3><p>Current evidence suggests that precarious employment is a risk factor for poor mental health. Although the mechanisms underpinning this relationship are unclear, poor sleep has been proposed to have a role in this relationship. This study explored the mediating effects of poor sleep quality and duration on the relationship between precarious employment and mental health.</p></div><div><h3>Methods</h3><p>Data were obtained from wave 17 of the Household, Income and Labour Dynamics in Australia survey. A novel precarious employment score (PES) was developed using exploratory and confirmatory factor analyses (CFA) in 8127 workers (4195 female, aged 18–65). Structural equation modelling (SEM) was used to evaluate the mediating effect of sleep quality and duration on the relationship between precarious employment and mental health (SF-36 mental health subscale).</p></div><div><h3>Results</h3><p>The PES identified 650 workers with a high level of precariousness, 2417 with a moderate level of precariousness, and 5060 workers with a low level of precariousness out of 8127 in total. There was a significant direct association between precarious employment and mental health; with higher precarity increasing the likelihood of poor mental health. The SEM results revealed that sleep quality partially mediated the association between precarious employment and mental health (Coefficient = 0.025, 95 % CI [0.015, 0.034], P ≤ 0.001). However, a mediation effect was not found for sleep duration.</p></div><div><h3>Conclusion</h3><p>Encouraging precarious employees to improve sleep quality may mitigate the adverse effects of precarious work on their mental health. Further objective measurement of sleep duration warrants a more accurate insight into this mediating effect in this group.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"6 ","pages":"Article 100092"},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590142723000320/pdfft?md5=92cf29358a243662403d9af1ef02c6f6&pid=1-s2.0-S2590142723000320-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135714400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of smoking on sleep architecture and ventilatory parameters including apneas: Results of the Tab-OSA study","authors":"Sibylle Mauries ,&nbsp;Léa Bertrand ,&nbsp;Justine Frija-Masson ,&nbsp;Hélène Benzaquen ,&nbsp;Sophie Kalamarides ,&nbsp;Karine Sauvage ,&nbsp;Michel Lejoyeux ,&nbsp;Marie-Pia d’Ortho ,&nbsp;Pierre A. Geoffroy","doi":"10.1016/j.sleepx.2023.100085","DOIUrl":"10.1016/j.sleepx.2023.100085","url":null,"abstract":"<div><h3>Background</h3><p>The interaction between smoking and sleep seems appears to be bidirectional, but few studies evaluated the impact of smoking and its cessation on objective sleep parameters. In this context, this new study aimed to assess the impact of smoking and its cessation on sleep architecture and on ventilatory sleep parameters, particularly the presence of sleep apnea syndrome (apnea-hypopnea index (AHI)≥15). Methods: Patients hospitalized for polysomnographic sleep exploration were compared according to their smoking status: active smokers (AS), former smokers (FS), non-smokers (NoNi). Psychiatric and non-psychiatric co-morbidities and treatment or substance use were taken into account in the analyses.</p></div><div><h3>Results</h3><p>A total of 170 participants were included (N = 37 FS, 39 AS, 86 NoNi). A significant decrease in the mean nocturnal O₂ saturation was observed for FS and AS compared to NoNi. No differences were found regarding AHI. Regarding sleep architecture, we observed a significant decrease in the slow wave sleep duration for AS compared to NoNi, and interestingly not between FS and NoNi.</p></div><div><h3>Conclusion</h3><p>This study suggests that current smokers suffer from alterations in both sleep architecture and ventilatory parameters, the later appears to persist even after smoking cessation.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"6 ","pages":"Article 100085"},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/90/cf/main.PMC10509708.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41151499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}