Sleep epidemiology最新文献

{"title":"The associations of screen time and physical activity with sleep health during the COVID-19 crisis","authors":"Julien Coelho ,&nbsp;Ilaria Montagni ,&nbsp;Jean-Arthur Micoulaud-Franchi ,&nbsp;Jacques Taillard ,&nbsp;Pierre Philip ,&nbsp;Sabine Plancoulaine ,&nbsp;Christophe Tzourio","doi":"10.1016/j.sleepe.2025.100119","DOIUrl":"10.1016/j.sleepe.2025.100119","url":null,"abstract":"<div><h3>Objectives</h3><div>To examine the associations of screen time (ST) and physical activity (PA) with sleep health, considering mental health.</div></div><div><h3>Methods</h3><div>This cross-sectional study began in April 2020 during the COVID-19 health crisis. Changes in ST over the past 7 days were rated on a 3-point Likert scale (1 = decrease or no increase; 2 = moderate increase; 3 = uncontrolled increase). PA over the past 7 days was also rated on a 3-point Likert scale (1 = no; 2 = yes, but not every day; 3 = yes, every day). Anxiety and depressive symptoms were assessed using the Generalized Anxiety Disorder-7 scale and the Patient Health Questionnaire-8, respectively.</div></div><div><h3>Results</h3><div>In total, 2036 participants were enrolled (mean age: 29.4 years; 79 % female). Longer ST was associated with worse sleep health, with an odds ratio (OR) of 1.70 (95 % confidence interval [CI]: 1.42–2.05) for a moderate increase and 3.40 (95 % CI: 2.69–4.30) for an uncontrolled increase, compared with no increase. Lower PA was also associated with worse sleep health, with an OR of 1.25 (95 % CI: 1.05–1.50) for weekly practice and 1.72 (95 % CI: 1.35–2.19) for no practice, relative to daily practice. The effects of ST and PA were cumulative. Additional adjustments for anxiety and depressive symptoms did not explain or alter the associations.</div></div><div><h3>Conclusions</h3><div>ST and PA are both critical for sleep health. Interventions aimed at improving sleep should systematically consider their roles. Longitudinal studies conducted in a more stable health context are needed to confirm these findings.</div></div>","PeriodicalId":74809,"journal":{"name":"Sleep epidemiology","volume":"5 ","pages":"Article 100119"},"PeriodicalIF":0.0,"publicationDate":"2025-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145361996","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":"The translation and validation of the Arabic language version of the biphasic sleep scale among young adults","authors":"Waqar Husain ,&nbsp;Khaled Trabelsi ,&nbsp;Hadeel Ghazzawi ,&nbsp;Achraf Ammar ,&nbsp;Ahmed S. BaHammam ,&nbsp;Seithikurippu R. Pandi-Perumal ,&nbsp;Amir H. Pakpour ,&nbsp;Michael V. Vitiello ,&nbsp;Haitham Jahrami","doi":"10.1016/j.sleepe.2025.100118","DOIUrl":"10.1016/j.sleepe.2025.100118","url":null,"abstract":"<div><h3>Background</h3><div>Biphasic sleep (segmented sleep) has been documented in preindustrial societies. The Biphasic Sleep Scale (BiSS) was recently developed to measure this pattern. This study aimed to translate and validate the BiSS into Arabic.</div></div><div><h3>Methods</h3><div>The BiSS was translated following international cross-cultural adaptation guidelines. A cross-sectional survey of 511 Arabic-speaking young adults (mean age = 22.1 years; 73.8 % female) used the Arabic BiSS and Glasgow Sleep Effort Scale. Analysis included descriptive statistics, confirmatory factor analysis (CFA), reliability analysis (Cronbach's α and McDonald's ω), correlations, and regression models examining age, sex, and marital status effects.</div></div><div><h3>Results</h3><div>CFA confirmed the original three-factor structure—likelihood of first sleep, consequences of first sleep, and sleep disturbance—with acceptable fit (RMSEA = 0.05, 90 % CI [0.02, 0.06]; SRMR = 0.04; CFI &gt; 0.9; TLI &gt; 0.9). Internal consistency was robust for the total scale, α = 0.9 and ω = 0.9. Internal consistency was also acceptable for subscales: likelihood of first sleep (α/ω = 0.8), consequences of first sleep (α/ω = 0.8), and borderline for sleep disturbance (α/ω = 0.6). Age (β = 0.1, p = 0.03) and marital status (single vs. married; β = -0.4, p = 0.02 for likelihood; β = -0.4, p = 0.01 for consequences significantly predicted biphasic sleep tendencies, while sex showed no significant effect.</div></div><div><h3>Conclusion</h3><div>The Arabic BiSS demonstrates sound psychometric properties for assessing biphasic sleep. Future research should examine applicability in diverse populations, including older adults and married individuals, and further validate the sleep disturbance dimension.</div></div>","PeriodicalId":74809,"journal":{"name":"Sleep epidemiology","volume":"5 ","pages":"Article 100118"},"PeriodicalIF":0.0,"publicationDate":"2025-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145361997","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":"Understanding Latine disparities in nocturnal wakefulness as a suicide risk factor","authors":"Fabian-Xosé Fernandez ,&nbsp;Andrew S. Tubbs ,&nbsp;Michael L. Perlis ,&nbsp;Michael A. Grandner","doi":"10.1016/j.sleepe.2025.100117","DOIUrl":"10.1016/j.sleepe.2025.100117","url":null,"abstract":"<div><div>Individuals who remain awake during hours typically reserved for sleep exhibit a significantly elevated risk (1.2 to 7.2-fold) of suicidal ideation, behaviours, or death, varying according to the specific hour of nocturnal wakefulness. This association has been robustly replicated across diverse populations and within individual assessments. Notably, Hispanic/Latine adults demonstrate a 26–45% stronger relationship between nighttime wakefulness and suicide risk compared to other groups, resulting in a disproportionately higher occurrence of nighttime suicides, despite lower overall suicide rates. We previously proposed the \"Mind after Midnight\" (MaM) hypothesis, suggesting that the interplay between accumulating sleep pressure and circadian modulation impairs decision-making and emotional regulation during nighttime, thus heightening vulnerability to maladaptive behaviours, including suicide. In this manuscript, we summarize evidence supporting the MaM hypothesis and propose two mechanisms potentially underpinning the heightened nocturnal suicide risk among Latine adults. First, cultural values emphasizing social connectedness may amplify vulnerability to social isolation during nighttime wakefulness. Second, existing social disadvantages may increase nocturnal wakefulness and exacerbate the psychological impact of daily stressors experienced during these periods. Given that Hispanic/Latine individuals represent one of the largest and fastest-growing minority populations in the United States—and considering Mexican Americans, a significant subgroup, report the greatest reductions in sleep duration among racial/ethnic groups—our findings underscore the critical need to verify whether nocturnal wakefulness disproportionately increases suicidal ideation and behaviours in this demographic. Confirmation of these relationships could inform culturally tailored interventions aimed at reducing suicide risk within the broader Latine community.</div></div>","PeriodicalId":74809,"journal":{"name":"Sleep epidemiology","volume":"5 ","pages":"Article 100117"},"PeriodicalIF":0.0,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145227116","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":"The relationship between ambient neighborhood noise exposure and sleep parameters among Black adults living in the Miami metropolitan area","authors":"Matthew Coppello ,&nbsp;Carolina Scaramutti ,&nbsp;Clarence E. Locklear ,&nbsp;Bruno Oliveira ,&nbsp;Michelle G. Thompson ,&nbsp;Sadeaqua S. Scott ,&nbsp;Joon Chung ,&nbsp;Gabrielle Belony ,&nbsp;Aisha Severe ,&nbsp;Debbie Chung ,&nbsp;Girardin Jean-Louis ,&nbsp;Azizi Seixas","doi":"10.1016/j.sleepe.2025.100116","DOIUrl":"10.1016/j.sleepe.2025.100116","url":null,"abstract":"<div><h3>Objective</h3><div>Black individuals in the US are burdened by sleep health disparities compared to non-Hispanic White individuals. Neighborhood factors could contribute and provide insights into these disparities. This investigation examined associations between environmental noise and sleep parameters among Black adults to deepen the understanding of sleep disparities.</div></div><div><h3>Methods</h3><div>Participant sleep parameters were recorded at-home for seven nights using cardiopulmonary coupling-based SleepImage Ring. Soundscores™ derived from HowLoud were used as a proxy for neighborhood noise. Score are noise estimates based on traffic models and local factors. Participants on average lived in slightly noisy neighborhoods (soundscore <em>M</em> = 70.8). Linear regressions were conducted to assess the relationship between noise and sleep parameters.</div></div><div><h3>Results</h3><div>Analysis of 261 Black adults (aged 18–85 years; 66.7 % female) from South Florida showed quieter environments (higher soundscores) were associated with increased deep sleep and improved sleep quality. When stratified by age and sex, lower noise was associated with decreased nocturnal awakening duration in males aged 18–54 years (<em>β</em> [95 % CI] = -110.76 [-203.18, -18.34]; <em>p</em> = .02; <em>r</em>² = .20) and increased time slept in females aged 55–85 years (<em>β</em> [95 % CI] = 379.48 [5.92, 753.04]; <em>p</em> = .04; <em>r</em>² = .09).</div></div><div><h3>Conclusions</h3><div>To the authors’ knowledge, this investigation is among the first to investigate associations between noise and sleep in Black adults using objective measures. Results showed sleep parameters were associated with noise, with unique demographic variations. Future investigations are necessary to address the effects of neighborhood features on sleep among Black adults.</div></div>","PeriodicalId":74809,"journal":{"name":"Sleep epidemiology","volume":"5 ","pages":"Article 100116"},"PeriodicalIF":0.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104652","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, fatigue, and altered cognition in healthcare professionals: Evidence from Portugal using the fatigue and altered cognition scale","authors":"Amanda Alencar ,&nbsp;Fábio Abreu ,&nbsp;Carina Fernandes","doi":"10.1016/j.sleepe.2025.100115","DOIUrl":"10.1016/j.sleepe.2025.100115","url":null,"abstract":"<div><div>While the detrimental impact of poor sleep on mental health and cognitive performance is well established, few studies have explored these relationships using sensitive, population-specific tools. This study offers a novel contribution by examining the associations between sleep quality, fatigue, altered cognition, and symptoms of anxiety and depression among Portuguese healthcare professionals, incorporating the Fatigue and Altered Cognition Scale (FACs), a newly validated instrument for the Portuguese context. A total of 80 healthcare professionals completed standardized measures assessing sleep (Pittsburgh Sleep Quality Index - PSQI and Sleep Health Scale - SHS), emotional well-being (Hospital Anxiety and Depression Scale - HADS), and psychocognitive exhaustion (FACs). The relationships between these variables were statistically analyzed through correlations and comparisons between groups. The results revealed that poorer sleep quality was significantly associated with higher levels of fatigue, perceived cognitive alterations, and symptoms of anxiety and depression. Marital status, physical exercise, and caffeine consumption showed no statistically significant associations, but age was positively correlated with sleep quality. No significant differences were found between professional categories. However, professionals working in shifts reported significantly poorer sleep quality compared to those with regular schedules. The FACs provided a measure of cognitive and fatigue-related difficulties, allowing for a clearer characterization of how poor sleep affects both mental performance and fatigue symptoms. These findings highlight the value of integrating contextually adapted tools in occupational health research and reinforce the need for institutional strategies targeting sleep hygiene and cognitive well-being in healthcare settings.</div></div>","PeriodicalId":74809,"journal":{"name":"Sleep epidemiology","volume":"5 ","pages":"Article 100115"},"PeriodicalIF":0.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104656","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":"High burden of moderate-to-severe obstructive sleep apnea: comparative accuracy of screening tools against polysomnography","authors":"Asmaa Ali ,&nbsp;Liang Wu ,&nbsp;Seham Ezzat Fathy Elfeky ,&nbsp;Mohammad H. Alhassoon ,&nbsp;Dhuha S. Aldrees ,&nbsp;Eman M. Moazen ,&nbsp;Abdulaziz Alghulayqah ,&nbsp;Mai M. Saleh","doi":"10.1016/j.sleepe.2025.100114","DOIUrl":"10.1016/j.sleepe.2025.100114","url":null,"abstract":"<div><h3>Background and objectives</h3><div>Timely diagnosis of obstructive sleep apnea (OSA) is essential, but polysomnography (PSG) is resource intensive. Simple screening tools may aid triage, yet their comparative accuracy in high-risk populations remains unclear. This study aimed to assess OSA burden and evaluate the diagnostic performance of three tools (STOP-BANG, Epworth Sleepiness Scale (ESS), and NoSAS) against PSG, along with a Combined Screening Model (CSM) integrating these tools.</div></div><div><h3>Methods</h3><div>In this cross-sectional study, 140 patients referred for overnight PSG were screened using STOP-BANG, ESS, and NoSAS. Sensitivity, specificity, predictive values, and area under the receiver operating characteristic curve (AUC) were calculated using an apnea–hypopnea index (AHI) ≥5 events/h and oxygen desaturation index (ODI) ≥5 events/h as diagnostic thresholds. A CSM was developed to assess the combined predictive value.</div></div><div><h3>Results</h3><div>OSA was confirmed in 91% of patients, with 74% having moderate-to-severe disease. NoSAS had the highest AUC (0.70), followed by STOP-BANG (0.67), CSM (0.65), and ESS (0.61), with no significant differences. CSM showed the greatest sensitivity (71%), while NoSAS had the highest specificity (64%).</div></div><div><h3>Conclusion</h3><div>OSA was highly prevalent and often severe in this referral population. NoSAS performed slightly better individually, and combined models showed potential for supporting early triage. However, PSG remains essential for definitive diagnosis and management.</div></div>","PeriodicalId":74809,"journal":{"name":"Sleep epidemiology","volume":"5 ","pages":"Article 100114"},"PeriodicalIF":0.0,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104646","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":"Data driven phenotyping and longitudinal feature modeling of sleep apnea subtypes using interpretable machine learning","authors":"Shireen Fathima,&nbsp;Maaz Ahmed","doi":"10.1016/j.sleepe.2025.100113","DOIUrl":"10.1016/j.sleepe.2025.100113","url":null,"abstract":"<div><div>Sleep apnea is a heterogeneous disorder with distinct physiological mechanisms such as obstructive sleep apnea (OSA), central sleep apnea (CSA), and mixed forms, yet many subjects exhibit diagnostically ambiguous events that do not fit these categories. We define such cases as a novel Borderline (BL) Apnea phenotype, which our longitudinal analysis revealed to often behave as a transitional stage between normal breathing and pathological subtypes. Most machine learning (ML) studies adopt binary classification frameworks, overlooking phenotypic diversity, risk stratification, and longitudinal patterns. This study proposes a comprehensive framework integrating rule-based phenotyping, observational and statistical profiling, multiclass ML, and interpretable modeling to classify subjects from the Sleep Heart Health Study (SHHS) cohort into Normal, OSA, CSA, Both (mixed), or BL Apnea types using apnea–hypopnea index (AHI) thresholds: total (AHI_A), obstructive (AHI_O), and central (AHI_C). The BL group captures individuals with elevated total AHI but subthreshold OSA and CSA components, representing a diagnostically ambiguous, underexplored phenotype. Demographic, anthropometric, and lifestyle traits were compared across subtypes to enable risk stratification . Dimensionality reduction (PCA, t-SNE) revealed substantial overlap, justifying non-linear modeling. Among nine classifiers, Gradient Boosting and LightGBM performed best (macro AUC <span><math><mrow><mo>&gt;</mo><mn>0</mn><mo>.</mo><mn>83</mn></mrow></math></span>, accuracy <span><math><mo>&gt;</mo></math></span>84%, specificity <span><math><mo>&gt;</mo></math></span>88%). SHAP interpretation consistently identified neck circumference, minimum O₂ saturation, Epworth Sleepiness Score, and arousal index as top predictors. Longitudinal analysis using SHHS Visit 2 showed heterogeneous outcomes for BL Apnea: 44% reverted to Normal and 22% progressed to ’Both’ type, highlighting its transitional nature and potential clinical utility for risk stratification, disease monitoring, and personalized management.</div></div>","PeriodicalId":74809,"journal":{"name":"Sleep epidemiology","volume":"5 ","pages":"Article 100113"},"PeriodicalIF":0.0,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145048271","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":"Association between sleep problems and depressive symptoms among small-scale miners in Ghana","authors":"Emmanuel Nyaaba ,&nbsp;Emma AO. Sefa ,&nbsp;Vanessa F. Epis ,&nbsp;Lawrence Guodaar ,&nbsp;Razak M. Gyasi","doi":"10.1016/j.sleepe.2025.100112","DOIUrl":"10.1016/j.sleepe.2025.100112","url":null,"abstract":"<div><h3>Objective</h3><div>Sleep problems (SP) are increasingly linked to poor mental health outcomes, yet limited research has explored this association among high-risk occupational groups in low- and middle-income countries (LMICs). We investigate the association between SP and depressive symptoms among small-scale miners in Ghana and explores whether emotional distress and anxiety explain this association.</div></div><div><h3>Methods</h3><div>We recruited 664 miners (mean age = 28.8, SD = 8.2 years; males = 84.3 %) in this study. SP was assessed using the WHO Disability Assessment Schedule 2.0 (WHODAS 2.0), while depressive symptoms were measured using the PHQ-9. Emotional distress and anxiety were assessed using the MOS SF-36 scale and the GAD-7 scale, respectively. Multiple linear regressions and bootstrapping techniques evaluated the hypothesized direct and indirect associations.</div></div><div><h3>Results</h3><div>SP was significantly associated with higher levels of depressive symptoms (B = 0.171, p &lt; 0.001), after adjustment. Crucially, emotional distress (53.06 %; B = 0.2447, 95 % CI [0.1739, 0.3221]), and anxiety (25.0 %; B = 0.1153, 95 % CI [0.0592, 0.1745]) partially accounted for the association between SP and depressive symptoms.</div></div><div><h3>Conclusions</h3><div>Poor sleep quality may be a clinical marker for depressive symptoms among small-scale miners, with emotional distress and anxiety as key psychological pathways. Integrated sleep-related screening and intervention strategies is needed in poor occupational health settings. Nevertheless, given the non-probability sampling approach used, some degree of selection bias cannot be ruled out, and findings should be interpreted with caution regarding their generalizability beyond the study communities.</div></div>","PeriodicalId":74809,"journal":{"name":"Sleep epidemiology","volume":"5 ","pages":"Article 100112"},"PeriodicalIF":0.0,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144841472","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 quality, daytime sleepiness, and obstructive sleep apnea risk among iranian commercial airline pilots","authors":"Asghar Akhavan ,&nbsp;Mahdieh Hasanalifard ,&nbsp;Reyhaneh Abolghasemi ,&nbsp;Abolfazl Khamaki ,&nbsp;Shokofeh Radfar ,&nbsp;Taleb Badri","doi":"10.1016/j.sleepe.2025.100111","DOIUrl":"10.1016/j.sleepe.2025.100111","url":null,"abstract":"<div><h3>Introduction</h3><div>Sufficient sleep is one of the most important factors in maintaining focus and attention in pilots. In this matched cross-sectional comparative study, the sleep status and related factors in commercial airline flight pilots were evaluated.</div></div><div><h3>Methods</h3><div>All pilots and the healthy sex- and age-matched controls who met the inclusion criteria and signed informed consent were included in the study. Information about sleep quality was collected using the Pittsburgh sleep quality index. The Epworth sleepiness scale assessed the subjective daytime sleepiness. The Stop-Bang sleep apnea questionnaire was a tool for the risk of obstructive sleep apnea screening.</div></div><div><h3>Results</h3><div>One hundred and seven airline pilots and 100 healthy control people were included in this study. The results showed that the risk of obstructive sleep apnea was significantly equal in pilot and control groups. The sleep quality and daytime sleepiness were significantly worse in the pilot group. In the pilot group, the marital status, sleep duration of 24 hours, education level, physical activity, and exercise correlated to sleep quality. The sleep apnea state was correlated to age, Body Mass Index, marital status, and morning headache. The flight hours and distances were correlated with at least one of the sleep questionnaires results. The regression model analysis showed that none of the independent variables had a significant effect on the probability of the Stop-Bang questionnaire and PSQI scores. But nine independent variables had a significant effect on the Epworth sleepiness scale.</div></div><div><h3>Discussion</h3><div>Among the Iranian commercial airline pilots, the risk of sleep apnea is not higher than those in the control group. Even though they are at higher risk of reducing sleep quality and increasing daytime sleepiness. Appropriate intervention on demographic factors and blood parameters improves pilots' sleep status.</div></div>","PeriodicalId":74809,"journal":{"name":"Sleep epidemiology","volume":"5 ","pages":"Article 100111"},"PeriodicalIF":0.0,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144830826","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":"Validation of algorithms identifying diagnosed obstructive sleep apnoea and narcolepsy in coded primary care and linked hospital activity data in England","authors":"Helen Strongman ,&nbsp;Sofia H. Eriksson ,&nbsp;Kwabena Asare ,&nbsp;Michelle A. Miller ,&nbsp;Martina Sýkorová ,&nbsp;Hema Mistry ,&nbsp;Kristin Veighey ,&nbsp;Charlotte Warren-Gash ,&nbsp;Krishnan Bhaskaran","doi":"10.1016/j.sleepe.2025.100110","DOIUrl":"10.1016/j.sleepe.2025.100110","url":null,"abstract":"<div><h3>Purpose</h3><div>To assist sleep epidemiology research, we created and tested the accuracy of five algorithms identifying diagnosed Obstructive Sleep Apnoea (OSA) and narcolepsy in routinely collected data from England (01/01/1998–29/03/2021).</div></div><div><h3>Methods</h3><div>The primary algorithm identified the first coded record in Clinical Practice Research Datalink (CPRD) primary care or linked hospital admissions data as an incident diagnosis of OSA (<em>n</em> = 92,222) or narcolepsy (<em>n</em> = 1072). Alternative algorithms required codes in CPRD, both datasets, or an additional proximate possible-sleep-related outpatient visit or excessive daytime sleepiness drug prescription (narcolepsy only). Staff in 73/1574 CPRD practices completed online questionnaires for a convenience sample of 144 OSA and 101 narcolepsy cases. We estimated Positive Predictive Values (PPVs) describing the proportion of cases confirmed by a gold standard hospital specialist diagnosis, the percentage of gold standard cases from the primary algorithm retained with alternative algorithms, and time between specialist and recorded diagnosis dates.</div></div><div><h3>Results</h3><div>Using the primary algorithm, the PPV (95 % CI) was 75.3 % (69.2–81.3) and 65.2 % (57.0–73.4) for OSA and narcolepsy, respectively: 80.6 % and 62.7 % of confirmed cases were recorded within 6 months of the specialist diagnosis. The CPRD-only algorithm increased the PPV to 85.3 (77.3–91.4, OSA) and 71.0 (58.8–81.3, narcolepsy) and retained high proportions of gold standard cases. Requiring additional outpatient or prescribing data increased PPVs, and for OSA improved diagnostic date accuracy, but omitted a high proportion of gold standard cases.</div></div><div><h3>Conclusion</h3><div>Highly accurate OSA diagnoses can be identified in routinely collected data. Recorded cases of narcolepsy are moderately accurate, but diagnosis dates are not.</div></div>","PeriodicalId":74809,"journal":{"name":"Sleep epidemiology","volume":"5 ","pages":"Article 100110"},"PeriodicalIF":0.0,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696647","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}