ShanYan Liu, Meijiao Huang, FengYing Zhang, Jing Tao, Dan Wen, WeiYuan Deng, YaoHua Lin, Ping Zhang, Min Li
{"title":"Family Support Moderates the Relationship Between Pregnancy Stress, Depressive Symptoms, and Insomnia.","authors":"ShanYan Liu, Meijiao Huang, FengYing Zhang, Jing Tao, Dan Wen, WeiYuan Deng, YaoHua Lin, Ping Zhang, Min Li","doi":"10.2147/NSS.S496205","DOIUrl":"10.2147/NSS.S496205","url":null,"abstract":"<p><strong>Objective: </strong>Insomnia is a common issue that pregnant women often have to deal with. This study seeks to examine the connections between pregnancy stress, depressive symptoms, family support, and insomnia symptoms.</p><p><strong>Methods: </strong>Convenience sampling was employed to recruit 1049 valid participants. The primary measurement tools utilized were the Pregnancy Stress Scale, the Family Support Subscale, and the Patient Health Questionnaire-2. Data analysis was conducted using SPSS 24.0 software. Using binary logistic regression to verify the independent effects of pregnancy stress, depression symptoms, and family support on insomnia symptoms. PROCESS macro Model 4 was applied to assess the mediating effect, while PROCESS macro Model 5 was used to evaluate the moderating effect.</p><p><strong>Results: </strong>The overall prevalence of insomnia symptoms and depressive symptoms among pregnant women was 54% (n=572) and 20% (n=207) in this study. Pregnancy stress, depressive symptoms and family support positively affect insomnia symptoms. The indirect effect of depressive symptoms between pregnancy stress and insomnia symptoms was significant, with the mediator proportion of 45.16%. As moderator, family support weakens the impact of pregnancy stress on insomnia symptoms.</p><p><strong>Conclusion: </strong>Increased pregnancy stress and increased depressive symptoms could trigger insomnia symptoms. Depressive symptoms mediated the path from between pregnancy stress and insomnia symptoms. Family support weakened the link between pregnancy stress and insomnia symptoms. These findings can assist pregnant women in managing stress more effectively and improving their mental well-being.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"261-270"},"PeriodicalIF":3.0,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11809212/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143391351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yang Zhang, Pinglang Zhou, Chuan Xu, Hua Su, Rendong Li, Longhua Sun, Yihan Yang
{"title":"Association of Serum Ferritin Levels With Obstructive Sleep Apnea in Overweight/Obese US Populations: A Population-Based Study From the NHANES.","authors":"Yang Zhang, Pinglang Zhou, Chuan Xu, Hua Su, Rendong Li, Longhua Sun, Yihan Yang","doi":"10.2147/NSS.S499446","DOIUrl":"10.2147/NSS.S499446","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the relationship between serum ferritin levels and OSA in overweight/obese individuals and assess the association between ferritin levels and all-cause mortality in overweight/obese female OSA patients.</p><p><strong>Methods: </strong>Cross-sectional (n = 4,809) and prospective (n = 832) data from overweight/obese adults from the 2005-2008, and 2015-March 2020 NHANES cycles were analyzed. Participants were categorized into quartiles (Q1-Q4) based on their ln-transformed serum ferritin levels. Multivariable logistic regression and restricted cubic spline regression (RCS) investigate associations. Kaplan-Meier survival analyses and Cox proportional hazards regression examined the relationship between ferritin levels and all-cause mortality in OSA patients.</p><p><strong>Results: </strong>After adjusting for potential confounding factors, we found that ln-transformed ferritin levels were associated with an increased risk of OSA (Q4 vs Q2: OR = 1.07, 95% CI: 1.01-1.13, P = 0.020, P for trend = 0.010). A non-linear U-shaped association was observed between ferritin levels and OSA risk (P-non-linear = 0.029), with an inflection point at ln-transformed ferritin of 4.58 (corresponding to a serum ferritin concentration of 97.51 ng/mL). In female OSA patients, elevated ferritin levels were associated with increased all-cause mortality risk (Q4 vs Q2: HR: 5.46, 95% CI: 1.18-25.16, P = 0.029, P for trend = 0.032).</p><p><strong>Conclusion: </strong>Ferritin levels in overweight/obese individuals show a U-shaped relationship with OSA risk, and elevated levels correlate with increased all-cause mortality in female overweight/obese OSA patients. In the future, further research is needed to explore the potential associations between ferritin, inflammation, obesity, and OSA.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"223-238"},"PeriodicalIF":3.0,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11807773/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143391350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhan Wang, Pengpeng Zhang, Run Shi, Shuai Yang, Kui Liu, Zhaokai Zhou, Qi Li
{"title":"Relationship Between Obstructive Sleep Apnea and Enuresis in Children: Current Perspectives and Beyond.","authors":"Zhan Wang, Pengpeng Zhang, Run Shi, Shuai Yang, Kui Liu, Zhaokai Zhou, Qi Li","doi":"10.2147/NSS.S489710","DOIUrl":"10.2147/NSS.S489710","url":null,"abstract":"<p><strong>Background: </strong>Nocturnal enuresis (NE) and obstructive sleep apnea (OSA) are common diseases in children, which often cause various social and psychological problems. The coexistence of both seriously affects the physical and mental health of children. However, whether OSA can directly lead to NE and the specific pathogenesis is still unclear. Moreover, the benefits of surgical and non-surgical treatments for OSA on NE symptoms remain controversial. This review summarizes the relationship between NE and OSA and how to treat them, aiming to provide a reference for the clinical treatment of OSA and NE in children.</p><p><strong>Methods: </strong>All pertinent original publications to this point from PubMed database have been collected, including investigations on the connection between OSA and NE as well as studies on the mechanism and therapeutic strategy of NE in children with OSA.</p><p><strong>Results: </strong>There is a bidirectional relationship between OSA and NE in children. NE increases with the incidence of OSA, and children with NE often have sleep-disordered respiratory disease. Children with OSA may be susceptible to NE due to aberrant humoral factors secretion, sleep-wake disorder, bladder dysfunction, obesity, and psychosomatic factors. It has been suggested that adenotonsillectomy (AT) may be the best treatment option for children suffering from OSA with NE. The benefits of positive airway pressure (PAP) therapy in children with NE remain to be further studied.</p><p><strong>Conclusion: </strong>NE and OSA comorbidity seriously affect the physical and mental health of children. AT can benefit children with OSA and NE. A comprehensive multidisciplinary evaluation of children with NE and OSA is needed, and the mechanism and treatment of NE in children with OSA need to be further explored.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"211-222"},"PeriodicalIF":3.0,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11804225/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143382625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frederic Dutheil, Chloé Saint-Arroman, Maëlys Clinchamps, Valentin Flaudias, Maria Livia Fantini, Bruno Pereira, Mickael Berthon, Catherine Laporte, Julien Steven Baker, Morteza Charkhabi, Pierluigi Cocco, Rosamaria Lecca, Monica Puligheddu, Michela Figorilli, Marek Zak, Ukadike Chris Ugbolue, Esther Ubago-Guisado, Luis Gracia-Marco, Jean-Baptiste Bouillon-Minois, Luc Vialatte
{"title":"Influence of Socio-Demographic, Occupational and Lifestyle Variables on Sleep Time.","authors":"Frederic Dutheil, Chloé Saint-Arroman, Maëlys Clinchamps, Valentin Flaudias, Maria Livia Fantini, Bruno Pereira, Mickael Berthon, Catherine Laporte, Julien Steven Baker, Morteza Charkhabi, Pierluigi Cocco, Rosamaria Lecca, Monica Puligheddu, Michela Figorilli, Marek Zak, Ukadike Chris Ugbolue, Esther Ubago-Guisado, Luis Gracia-Marco, Jean-Baptiste Bouillon-Minois, Luc Vialatte","doi":"10.2147/NSS.S495455","DOIUrl":"10.2147/NSS.S495455","url":null,"abstract":"<p><strong>Background: </strong>Socio-demographic, occupational and lifestyle variables influence total sleep time. Therefore, we aimed to evaluate the influence of those variables on sleep time, and to study risk factors of being a short sleeper.</p><p><strong>Methods: </strong>The COVISTRESS international study is an online questionnaire using the secure REDCap<sup>®</sup> software. Total sleep time was evaluated using declared bedtime and time of awakening and was analyzed as a quantitative variable and as a qualitative variable.</p><p><strong>Results: </strong>We included 549 respondents to the questionnaire, divided into 10-year age groups ranging from <30yo to ≥60yo. The mean quantity of sleep was 7.11±1.43 hours per night. Factors that reduce total sleep time were age (coefficient -0.19, 95CI -0.33 to 0.06), being an employee (-0.46, -0.85 to -0.06), working time (-0.18, -0.31 to 0.05), smoking ≥5 cigarettes/day (-0.5, -0.95 to -0.20), high stress at work (-0.64, -0.96 to -0.32) and at home (-0.66, -0.97 to -0.35). Being a student (0.61, 0.02 to 1.19), working less than 25h per week (0.57, 0.17 to 0.97) and telework (0.46, 0.02 to 0.89) increased total sleep time. The risk factors of being a short sleeper were age (odds ratio 1.27, 95CI 1.07 to 1.51), being an employee (2.58, 1.36 to 4.89), smoking ≥5 cigarettes/day (2.73, 1.54 to 4.84) and a high level of stress at work (2.64, 1.45 to 4.82) and at home (3.89, 2.25 to 6.63). Physical activity ≥2.5 hours/week tended to decrease the risk of being a short sleeper by 35%.</p><p><strong>Conclusion: </strong>We demonstrated the concomitant impact of sociodemographic, occupational and lifestyle behavior on sleep, which may help to build efficient preventive strategy.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"195-210"},"PeriodicalIF":3.0,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11832214/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143441509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development and Evaluation of a Hypertension Prediction Model for Community-Based Screening of Sleep-Disordered Breathing.","authors":"Tong Feng, Guangliang Shan, Yaoda Hu, Huijing He, Guo Pei, Ruohan Zhou, Qiong Ou","doi":"10.2147/NSS.S492796","DOIUrl":"10.2147/NSS.S492796","url":null,"abstract":"<p><strong>Purpose: </strong>Approximately 30% of patients with sleep-disordered breathing (SDB) present with masked hypertension, primarily characterized by elevated nighttime blood pressure. This study aimed to develop a hypertension prediction model tailored for primary care physicians, utilizing simple, readily available predictors derived from type IV sleep monitoring devices.</p><p><strong>Patients and methods: </strong>Participants were recruited from communities in Guangdong Province, China, between April and May 2021. Data collection included demographic information, clinical indicators, and results from type IV sleep monitors, which recorded oxygen desaturation index (ODI), average nocturnal oxygen saturation (MeanSpO2), and lowest recorded oxygen saturation (MinSpO2). Hypertension was diagnosed using blood pressure monitoring or self-reported antihypertensive medication use. A nomogram was constructed using multivariate logistic regression after Least Absolute Shrinkage and Selection Operator (LASSO) regression identified six predictors: waist circumference, age, ODI, diabetes status, family history of hypertension, and apnea. Model performance was evaluated using area under the curve (AUC), calibration plots, and decision curve analysis (DCA).</p><p><strong>Results: </strong>The model, developed in a cohort of 680 participants and validated in 401 participants, achieved an AUC of 0.775 (95% CI: 0.730-0.820) in validation set. Calibration plots demonstrated excellent agreement between predictions and outcomes, while DCA confirmed significant clinical utility.</p><p><strong>Conclusion: </strong>This hypertension prediction model leverages easily accessible indicators, including oximetry data from type IV sleep monitors, enabling effective screening during community-based SDB assessments. It provides a cost-effective and practical tool for prioritizing early intervention and management strategies in both primary care and clinical settings.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"167-182"},"PeriodicalIF":3.0,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11776509/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143066844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Causal Association Between Obstructive Sleep Apnea and Migraine: A Bidirectional Mendelian Randomization Study.","authors":"Yu-Pei Wang, Hui-Xia Wei, Yuan-Yuan Hu, Chao Zhang, Yu-Ming Niu","doi":"10.2147/NSS.S492630","DOIUrl":"10.2147/NSS.S492630","url":null,"abstract":"<p><strong>Objective: </strong>Patients with obstructive sleep apnea (OSA) frequently suffer from migraine, however the causal relationship between OSA and migraine is unknown. Investigating the causation will assist in understanding the etiology of OSA and migraine.</p><p><strong>Methods: </strong>Bidirectional two-sample Mendelian randomization (MR) and multivariable MR (MVMR) approaches were carried out to investigate the causal link between OSA and migraine. The public genome-wide association study (GWAS) data for OSA, migraine, and subtypes were obtained from the IUE open GWAS project and the FinnGen consortium. To investigate the causal links between OSA and migraine, inverse variance weighted (IVW) analysis was used in conjunction with four additional statistical approaches. Furthermore, sensitivity studies were performed using heterogeneity and pleiotropy tests to assess the estimation's robustness.</p><p><strong>Results: </strong>In general, our findings suggested that the OSA is causally associated with migraine with aura (MA, IVW: OR = 1.147; 95% CI = 1.016-1.295; P = 0.026), which was confirmed with the MVMR analysis further (OR = 1.184, 95% CI = 1.028-1.364, P = 0.020). In addition, increased risk of migraine and migraine without aura on OSA occurrence were identified in the reverse analysis, but these results were subsequently negated with MVMR analysis.</p><p><strong>Conclusion: </strong>According to the current findings, there was a preliminary causal effect of OSA on MA among European descendants.</p><p><strong>Clinical relevance: </strong>These findings suggest a potential causal effect of OSA on migraine and provide new insights to prevent and manage the two disorders.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"183-194"},"PeriodicalIF":3.0,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11776924/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143066842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comment on Effects of Insufficient Sleep on Myopia in Children: A Systematic Review and Meta-Analysis [Letter].","authors":"Haomin Sun, Zicheng Zheng, Xiaomei Shao","doi":"10.2147/NSS.S512759","DOIUrl":"10.2147/NSS.S512759","url":null,"abstract":"","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"165-166"},"PeriodicalIF":3.0,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11774105/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143059631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Peer Review in the Artificial Intelligence Era: A Call for Developing Responsible Integration Guidelines.","authors":"Ahmed Salem BaHammam","doi":"10.2147/NSS.S513872","DOIUrl":"10.2147/NSS.S513872","url":null,"abstract":"","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"159-164"},"PeriodicalIF":3.0,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11774116/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143059638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring the Association Between Triglyceride-Glucose Indices and Their Derivatives With Obstructive Sleep Apnea: Insights From the National Health and Nutrition Examination Survey.","authors":"Yating Zhou, Fei Xue","doi":"10.2147/NSS.S487596","DOIUrl":"10.2147/NSS.S487596","url":null,"abstract":"<p><strong>Background: </strong>Simple and affordable methods for evaluating Insulin Resistance (IR) have been suggested, such as the Triglyceride-Glucose (TyG) index and its variants, including the TyG-Body Mass Index (TyG-BMI), TyG-Waist Circumference (TyG-WC), and TyG-Waist-to-Height Ratio (TyG-WHtR). The aim of this study is to investigate the relationship between these TyG-related indices, which measure IR, and Obstructive Sleep Apnea (OSA).</p><p><strong>Methods: </strong>This study analyzed NHANES data from 2007-2008, 2015-2016, and 2017-2020. TyG and its derivatives were evaluated as continuous and categorical variables in relation to OSA using multivariable logistic regression models. Subgroup analyses, dose-response relationships, and threshold effects were explored, and the diagnostic performance of TyG-related indices was assessed using AUC curves.</p><p><strong>Results: </strong>The study included 8,374 participants. The fully adjusted Model 3 analysis (Note: Body Mass Index was not adjusted for TyG-BMI) of continuous variables showed a positive correlation between OSA and all four indices. All four TyG-related indicators showed statistically significant relationships with OSA when grouped into quartiles (TyG: AOR = 1.448, 95% CI: 1.260-1.663; TyG-BMI: AOR = 3.785, 95% CI: 3.319-4.317; TyG-WC: AOR = 2.089, 95% CI: 1.629-2.677; TyG-WHtR: AOR = 1.913, 95% CI: 1.548-2.363). Subgroup analysis revealed a stronger association of TyG-WHtR with OSA in the 41-59 age group (AOR = 1.459, 95% CI: 1.254-1.698) and the low-income group (AOR = 1.451, 95% CI: 1.241-1.698). TyG showed a linear relationship with OSA, while TyG-BMI, TyG-WC, and TyG-WHtR exhibited nonlinear relationships. The diagnostic capability was highest for TyG-WC, with an AUC of 0.647.</p><p><strong>Conclusion: </strong>The study confirms strong associations between OSA and the TyG indices, particularly TyG-WC, which demonstrates significant predictive power for OSA risk. Future longitudinal studies are recommended to further investigate these associations and enhance OSA management in resource-constrained environments.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"143-155"},"PeriodicalIF":3.0,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11771171/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143051885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}