Jiashu Zhu, Ye Li, Rui Wang, Jinfang Zhang, Can Liu, Hongyu Li, Deguang Yang, Shuqin Ma, Suzhen Guan
Objective: To examine the relationship between pregnancy-related anxiety, family functions, and sleep quality, and to determine whether family functions mediate the relationship between pregnancy-related anxiety and sleep quality. Methods: A cross-sectional survey was conducted on pregnant women between April to August in 2022 in the obstetrics outpatient clinic of a tertiary care hospital in the Ningxia Hui Autonomous Region of China. A total of 1014 pregnant women aged 18 years and older were surveyed. They completed questionnaires, including: general demographic characteristics, the Pregnancy-related anxiety scale (PAQ), the Family Adaptation, Partnership, Growth, Affection, and Resolve (APGAR), and the Pittsburgh Sleep Quality Index Questionnaire (PSQI). Model 4 in PROCESS was used to analyze the relationships among pregnancy-related anxiety, family functions, and sleep quality, with family functions as a mediator. Results: Among the 1014 pregnant women, the pregnancy-related anxiety scale score was (21.84 ± 5.64). The total score of the family functions scale was (8.10± 2.26), and the overall sleep quality scale score was (7.89± 2.99). When participants were grouped according to different socio-demographic characteristics, the study showed that all variables differed from anxiety, family functions or sleep quality, except for age, pre-pregnancy BMI and whether or not they had a first birth, which was not associated with anxiety, family functions, or sleep quality (P< 0.05). The pregnancy-related anxiety was positively associated with sleep quality (P< 0.01), while family functions were negatively associated with sleep quality (P< 0.01). In addition, family functions mediate the relationship between pregnancy-related anxiety and sleep quality during pregnancy, on the first and second trimesters, intermediation rate is 9.31% (P< 0.05), and on the third trimesters, intermediation rate is 21.38% (P< 0.05). Conclusion: Pregnancy- related anxiety is a risk factor for sleep quality, however, family functions are protective factors for sleep quality. Family functions play an intermediary role in sleep quality caused by pregnancy-related anxiety, especially on the third trimesters. This finding may provide a scientific basis for developing intervention strategies to improve the sleep quality of pregnant women.
Keywords: pregnancy-related anxiety, family functions, sleep quality, mediation effect
{"title":"The Mediating Role of Family Functions Between Pregnancy-Related Anxiety and Sleep Quality: A Cross-Sectional Study","authors":"Jiashu Zhu, Ye Li, Rui Wang, Jinfang Zhang, Can Liu, Hongyu Li, Deguang Yang, Shuqin Ma, Suzhen Guan","doi":"10.2147/nss.s443612","DOIUrl":"https://doi.org/10.2147/nss.s443612","url":null,"abstract":"<strong>Objective:</strong> To examine the relationship between pregnancy-related anxiety, family functions, and sleep quality, and to determine whether family functions mediate the relationship between pregnancy-related anxiety and sleep quality.<br/><strong>Methods:</strong> A cross-sectional survey was conducted on pregnant women between April to August in 2022 in the obstetrics outpatient clinic of a tertiary care hospital in the Ningxia Hui Autonomous Region of China. A total of 1014 pregnant women aged 18 years and older were surveyed. They completed questionnaires, including: general demographic characteristics, the Pregnancy-related anxiety scale (PAQ), the Family Adaptation, Partnership, Growth, Affection, and Resolve (APGAR), and the Pittsburgh Sleep Quality Index Questionnaire (PSQI). Model 4 in PROCESS was used to analyze the relationships among pregnancy-related anxiety, family functions, and sleep quality, with family functions as a mediator.<br/><strong>Results:</strong> Among the 1014 pregnant women, the pregnancy-related anxiety scale score was (21.84 ± 5.64). The total score of the family functions scale was (8.10± 2.26), and the overall sleep quality scale score was (7.89± 2.99). When participants were grouped according to different socio-demographic characteristics, the study showed that all variables differed from anxiety, family functions or sleep quality, except for age, pre-pregnancy BMI and whether or not they had a first birth, which was not associated with anxiety, family functions, or sleep quality (<em>P</em>< 0.05). The pregnancy-related anxiety was positively associated with sleep quality (<em>P</em>< 0.01), while family functions were negatively associated with sleep quality (<em>P</em>< 0.01). In addition, family functions mediate the relationship between pregnancy-related anxiety and sleep quality during pregnancy, on the first and second trimesters, intermediation rate is 9.31% (<em>P</em>< 0.05), and on the third trimesters, intermediation rate is 21.38% (<em>P</em>< 0.05).<br/><strong>Conclusion:</strong> Pregnancy- related anxiety is a risk factor for sleep quality, however, family functions are protective factors for sleep quality. Family functions play an intermediary role in sleep quality caused by pregnancy-related anxiety, especially on the third trimesters. This finding may provide a scientific basis for developing intervention strategies to improve the sleep quality of pregnant women.<br/><br/><strong>Keywords:</strong> pregnancy-related anxiety, family functions, sleep quality, mediation effect<br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140105283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qi Rui See, Kausar Raheel, Iain Duncan, Nazanin Biabani, Irene Di Giulio, Andrea Romigi, Veena Kumari, David O'Regan, Scott Cairney, Daniele Urso, K Ray Chaudhuri, Valentina Gnoni, Panagis Drakatos, Ivana Rosenzweig
Background: Speech graph analysis (SGA) of dreams has recently shown promise as an objective and language-invariant diagnostic tool that can aid neuropsychiatric diagnosis. Whilst the notion that dreaming mentations reflect distinct physiologic processes is not new, such studies in patients with sleep disorders remain exceptionally scarce. Here, using SGA and other dream content analyses, we set to investigate structural and thematic differences in morning dream recalls of patients diagnosed with Non-Rapid Eye Movement Parasomnia (NREMP) and Idiopathic REM Sleep Behavior Disorder (iRBD). Methods: A retrospective cross-sectional study of morning dream recalls of iRBD and NREMP patients was undertaken. Traditional dream content analyses, such as Orlinsky and Hall and Van de Castle analyses, were initially conducted. Subsequently, SGA was performed in order to objectively quantify structural speech differences between the dream recalls of the two patient groups. Results: Comparable rate of morning recall of dreams in the sleep laboratory was recorded; 25% of iRBD and 18.35% of NREMP patients. Aggression in dreams was recorded by 28.57% iRBD versus 20.00% in NREMP group. iRBD patients were more likely to recall dreams (iRBD vs NREMP; P = 0.007), but they also had more white dreams, ie having a feeling of having dreamt, but with no memory of it. Visual and quantitative graph speech analyses of iRBD dreams suggested stable sequential structure, reflecting the linearity of the chronological narrative. Conversely, NREMP dream reports displayed more recursive, less stable systems, with significantly higher scores of graph connectivity measures. Conclusion: The findings of our exploratory study suggest that iRBD and NREMP patients may not only differ on what is recalled in their dreams but also, perhaps more strikingly, on how dreams are recalled. It is hoped that future SGA-led dream investigations of larger groups of patients will help discern distinct mechanistic underpinnings and any associated clinical implications.
{"title":"Dreaming Characteristics in Non-Rapid Eye Movement Parasomnia and Idiopathic Rapid Eye Movement Sleep Behaviour Disorder: Similarities and Differences","authors":"Qi Rui See, Kausar Raheel, Iain Duncan, Nazanin Biabani, Irene Di Giulio, Andrea Romigi, Veena Kumari, David O'Regan, Scott Cairney, Daniele Urso, K Ray Chaudhuri, Valentina Gnoni, Panagis Drakatos, Ivana Rosenzweig","doi":"10.2147/nss.s435201","DOIUrl":"https://doi.org/10.2147/nss.s435201","url":null,"abstract":"<strong>Background:</strong> Speech graph analysis (SGA) of dreams has recently shown promise as an objective and language-invariant diagnostic tool that can aid neuropsychiatric diagnosis. Whilst the notion that dreaming mentations reflect distinct physiologic processes is not new, such studies in patients with sleep disorders remain exceptionally scarce. Here, using SGA and other dream content analyses, we set to investigate structural and thematic differences in morning dream recalls of patients diagnosed with Non-Rapid Eye Movement Parasomnia (NREMP) and Idiopathic REM Sleep Behavior Disorder (iRBD).<br/><strong>Methods:</strong> A retrospective cross-sectional study of morning dream recalls of iRBD and NREMP patients was undertaken. Traditional dream content analyses, such as Orlinsky and Hall and Van de Castle analyses, were initially conducted. Subsequently, SGA was performed in order to objectively quantify structural speech differences between the dream recalls of the two patient groups.<br/><strong>Results:</strong> Comparable rate of morning recall of dreams in the sleep laboratory was recorded; 25% of iRBD and 18.35% of NREMP patients. Aggression in dreams was recorded by 28.57% iRBD versus 20.00% in NREMP group. iRBD patients were more likely to recall dreams (iRBD vs NREMP; P = 0.007), but they also had more white dreams, ie having a feeling of having dreamt, but with no memory of it. Visual and quantitative graph speech analyses of iRBD dreams suggested stable sequential structure, reflecting the linearity of the chronological narrative. Conversely, NREMP dream reports displayed more recursive, less stable systems, with significantly higher scores of graph connectivity measures.<br/><strong>Conclusion:</strong> The findings of our exploratory study suggest that iRBD and NREMP patients may not only differ on what is recalled in their dreams but also, perhaps more strikingly, on how dreams are recalled. It is hoped that future SGA-led dream investigations of larger groups of patients will help discern distinct mechanistic underpinnings and any associated clinical implications.<br/><br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140076263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mihyeon Kim, Sarah Lyon-Caen, Sam Bayat, Claire Philippat, Sabine Plancoulaine
Objective: We investigated maternal and paternal sleep evolution from 3 to 36 months postpartum, their interrelations and predictors in the SEPAGES cohort. Methods: Sleep information (night sleep duration [NSD], weekend daytime sleep duration [DSD] and subjective sleep loss [SSL]) was collected by self-administered questionnaires at 3, 18, 24 and 36 months postpartum in the SEPAGES French cohort that included 484 mothers and 410 fathers. Group-based multi-trajectory modelling was used to identify maternal, paternal and couple sleep multi-trajectory groups among 188 couples reporting sleep data for at least 2 time points. Multinomial logistic regression was used to assess associations between parental sleep multi-trajectories and early characteristics such as sociodemographic, chronotypes, child sex, birth seasonality or breastfeeding duration. Results: We identified three maternal (M1-M3), paternal (F1-F3) and couple (C1-C3) sleep multi-trajectory groups with similar characteristics: a group with short NSD and high SSL prevalence (M1, F2, C2), a group with long NSD but medium SSL prevalence (M2, F3, C3) and a group with long NSD and low SSL prevalence (M3, F1, C1). Mothers with the shortest NSD (M1) were less likely to have a partner with long NSD (F2). As compared with long NSD and low SSL prevalence (C1), couples with short NSD and high SSL prevalence (C2) were less likely to have had a first child born in the autumn and fathers in C2 had a later chronotype. Conclusion: We identified distinct sleep multi-trajectory groups for mothers, fathers and couples from 3- to 36-month postpartum. Sleep patterns within couples were homogeneous.
Keywords: multi group-based-trajectory modelling, parental sleep, sleep epidemiology, sleep interrelation
{"title":"Parents’ Sleep Multi-Trajectory Modelling from 3 to 36 Months Postpartum in the SEPAGES Cohort","authors":"Mihyeon Kim, Sarah Lyon-Caen, Sam Bayat, Claire Philippat, Sabine Plancoulaine","doi":"10.2147/nss.s430024","DOIUrl":"https://doi.org/10.2147/nss.s430024","url":null,"abstract":"<strong>Objective:</strong> We investigated maternal and paternal sleep evolution from 3 to 36 months postpartum, their interrelations and predictors in the SEPAGES cohort.<br/><strong>Methods:</strong> Sleep information (night sleep duration [NSD], weekend daytime sleep duration [DSD] and subjective sleep loss [SSL]) was collected by self-administered questionnaires at 3, 18, 24 and 36 months postpartum in the SEPAGES French cohort that included 484 mothers and 410 fathers. Group-based multi-trajectory modelling was used to identify maternal, paternal and couple sleep multi-trajectory groups among 188 couples reporting sleep data for at least 2 time points. Multinomial logistic regression was used to assess associations between parental sleep multi-trajectories and early characteristics such as sociodemographic, chronotypes, child sex, birth seasonality or breastfeeding duration.<br/><strong>Results:</strong> We identified three maternal (M1-M3), paternal (F1-F3) and couple (C1-C3) sleep multi-trajectory groups with similar characteristics: a group with short NSD and high SSL prevalence (M1, F2, C2), a group with long NSD but medium SSL prevalence (M2, F3, C3) and a group with long NSD and low SSL prevalence (M3, F1, C1). Mothers with the shortest NSD (M1) were less likely to have a partner with long NSD (F2). As compared with long NSD and low SSL prevalence (C1), couples with short NSD and high SSL prevalence (C2) were less likely to have had a first child born in the autumn and fathers in C2 had a later chronotype.<br/><strong>Conclusion:</strong> We identified distinct sleep multi-trajectory groups for mothers, fathers and couples from 3- to 36-month postpartum. Sleep patterns within couples were homogeneous.<br/><br/><strong>Keywords:</strong> multi group-based-trajectory modelling, parental sleep, sleep epidemiology, sleep interrelation<br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140047620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lydia B Munns, Harriet Demnitz-King, Claire André, Stéphane Rehel, Valentin Ourry, Vincent de La Sayette, Denis Vivien, Gaël Chételat, Géraldine Rauchs, Natalie L Marchant
Objective: Poor sleep and high levels of repetitive negative thinking (RNT), including future-directed (ie, worry) and past-directed (ie, brooding) negative thoughts, have been associated with markers of dementia risk. The relationship between RNT and sleep health in older adults is unknown. This study aimed to investigate this association and its specificities including multiple dimensions of objective and subjective sleep. Methods: This study used a cross sectional quantitative design with baseline data from 127 cognitively healthy older adults (mean age 69.4 ± 3.8 years; 63% female) who took part in the Age-Well clinical trial, France. RNT (ie, worry and brooding) levels were measured using the Penn State Worry Questionnaire and the Rumination Response Scale (brooding subscale). Polysomnography was used to assess sleep objectively, and the Pittsburgh Sleep Quality Index and the St. Mary’s Hospital Sleep Questionnaire were used to measure sleep subjectively. In primary analyses the associations between RNT and sleep (ie, objective sleep duration, fragmentation and efficiency and subjective sleep disturbance) were assessed via adjusted regressions. Results: Higher levels of RNT were associated with poorer objective sleep efficiency (worry: β=− 0.32, p< 0.001; brooding: β=− 0.26, p=0.002), but not objective sleep duration, fragmentation, or subjective sleep disturbance. Additional analyses, however, revealed differences in levels of worry between those with short, compared with typical and long objective sleep durations (p < 0.05). Conclusion: In cognitively healthy older adults, RNT was associated with sleep characteristics that have been implicated in increased dementia risk. It will take additional research to ascertain the causal link between RNT and sleep characteristics and how they ultimately relate to the risk of developing dementia.
{"title":"Associations Between Repetitive Negative Thinking and Objective and Subjective Sleep Health in Cognitively Healthy Older Adults","authors":"Lydia B Munns, Harriet Demnitz-King, Claire André, Stéphane Rehel, Valentin Ourry, Vincent de La Sayette, Denis Vivien, Gaël Chételat, Géraldine Rauchs, Natalie L Marchant","doi":"10.2147/nss.s441509","DOIUrl":"https://doi.org/10.2147/nss.s441509","url":null,"abstract":"<strong>Objective:</strong> Poor sleep and high levels of repetitive negative thinking (RNT), including future-directed (ie, worry) and past-directed (ie, brooding) negative thoughts, have been associated with markers of dementia risk. The relationship between RNT and sleep health in older adults is unknown. This study aimed to investigate this association and its specificities including multiple dimensions of objective and subjective sleep.<br/><strong>Methods:</strong> This study used a cross sectional quantitative design with baseline data from 127 cognitively healthy older adults (mean age 69.4 ± 3.8 years; 63% female) who took part in the Age-Well clinical trial, France. RNT (ie, worry and brooding) levels were measured using the Penn State Worry Questionnaire and the Rumination Response Scale (brooding subscale). Polysomnography was used to assess sleep objectively, and the Pittsburgh Sleep Quality Index and the St. Mary’s Hospital Sleep Questionnaire were used to measure sleep subjectively. In primary analyses the associations between RNT and sleep (ie, objective sleep duration, fragmentation and efficiency and subjective sleep disturbance) were assessed via adjusted regressions. <br/><strong>Results:</strong> Higher levels of RNT were associated with poorer objective sleep efficiency (worry: β=− 0.32, <em>p</em>< 0.001; brooding: β=− 0.26, <em>p</em>=0.002), but not objective sleep duration, fragmentation, or subjective sleep disturbance. Additional analyses, however, revealed differences in levels of worry between those with short, compared with typical and long objective sleep durations (<em>p</em> < 0.05).<br/><strong>Conclusion:</strong> In cognitively healthy older adults, RNT was associated with sleep characteristics that have been implicated in increased dementia risk. It will take additional research to ascertain the causal link between RNT and sleep characteristics and how they ultimately relate to the risk of developing dementia.<br/><br/><strong>Keywords:</strong> perseverative cognition, rumination, sleep, anxiety, ageing<br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140036372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renzhe Tang, Chong Li, Dongmei Di, Lin Zhou, Yongxiang Qian, Chaohua Qiang, Chao Ma, Rui Zhou, Bin Wang, Min Wang
Objective: Obstructive sleep apnea (OSA) is a disorder characterized by disruption in breathing and hypoventilation. In parallel, metabolic syndrome (MetS) mainly co-occur with OSA, however, their association has not been fully elucidated. Therefore, this study aimed to reveal the relationship between OSA and MetS using data from the National Health And Nutrition Examination Survey (NHANES) database and pooled data from Genome-Wide Association Studies (GWAS). Material and Methods: Data from the National Health and Nutrition Examination Survey and pooled data from genome-wide association analysis (GWAS) were used univariate and multivariate logistic regression analyses were carried out to evaluate the correlation between OSA and MetS, and multivariate logistic regression models were utilized for adjusting for potential confounders. Two-sample Mendelian randomization (MR) was used to assess the causal relationship between OSA and MetS. The variance-weighted inverse method was employed as the main method of analysis. Results: A positive relationship of OSA with Mets was evidenced by multivariate logistic regression analysis, and OSA was associated with higher incidence rates of all-cause and cardiovascular mortality. OSA is strongly associated with abdominal obesity, hypertension, hyperglycemia, high triglycerides, and low HDL. Furthermore, except for hypertriglyceridemia, MR analysis indicated that genetically driven OSA was causally associated with a higher risk of MetS. Conclusion: The positive relationship of OSA with Mets was revealed, and higher incidence rates of all-cause mortality and cardiovascular mortality were noted to be correlated with OSA. MR analysis further confirmed the causal relationship of OSA with MetS and cardiovascular disease.
目的：阻塞性睡眠呼吸暂停（OSA阻塞性睡眠呼吸暂停（OSA）是一种以呼吸紊乱和通气不足为特征的疾病。与此同时，代谢综合征（MetS）主要与 OSA 同时存在，但两者之间的关联尚未完全阐明。因此，本研究旨在利用美国国家健康与营养调查（NHANES）数据库的数据和全基因组关联研究（GWAS）的汇总数据，揭示 OSA 与 MetS 之间的关系：利用美国国家健康与营养调查（NHANES）数据库的数据和全基因组关联分析（GWAS）的汇总数据进行单变量和多变量逻辑回归分析，以评估 OSA 与 MetS 之间的相关性，并利用多变量逻辑回归模型对潜在的混杂因素进行调整。采用双样本孟德尔随机法（MR）评估 OSA 与 MetS 之间的因果关系。分析的主要方法是方差加权反比法：结果：多变量逻辑回归分析表明，OSA 与 MetS 呈正相关，OSA 与较高的全因死亡率和心血管死亡率相关。OSA 与腹部肥胖、高血压、高血糖、高甘油三酯和低高密度脂蛋白密切相关。此外，除高甘油三酯血症外，磁共振分析表明，基因驱动的 OSA 与 MetS 风险较高有因果关系：结论：OSA 与 Mets 呈正相关，全因死亡率和心血管死亡率较高与 OSA 相关。MR分析进一步证实了OSA与代谢综合征和心血管疾病的因果关系。 关键词：阻塞性睡眠呼吸暂停；代谢综合征；心血管疾病；NHANES；孟德尔随机化
{"title":"Evaluate the Relationship Between Obstructive Sleep Apnea and Metabolic Syndrome in Real-World Data","authors":"Renzhe Tang, Chong Li, Dongmei Di, Lin Zhou, Yongxiang Qian, Chaohua Qiang, Chao Ma, Rui Zhou, Bin Wang, Min Wang","doi":"10.2147/nss.s433514","DOIUrl":"https://doi.org/10.2147/nss.s433514","url":null,"abstract":"<strong>Objective:</strong> Obstructive sleep apnea (OSA) is a disorder characterized by disruption in breathing and hypoventilation. In parallel, metabolic syndrome (MetS) mainly co-occur with OSA, however, their association has not been fully elucidated. Therefore, this study aimed to reveal the relationship between OSA and MetS using data from the National Health And Nutrition Examination Survey (NHANES) database and pooled data from Genome-Wide Association Studies (GWAS).<br/><strong>Material and Methods:</strong> Data from the National Health and Nutrition Examination Survey and pooled data from genome-wide association analysis (GWAS) were used univariate and multivariate logistic regression analyses were carried out to evaluate the correlation between OSA and MetS, and multivariate logistic regression models were utilized for adjusting for potential confounders. Two-sample Mendelian randomization (MR) was used to assess the causal relationship between OSA and MetS. The variance-weighted inverse method was employed as the main method of analysis.<br/><strong>Results:</strong> A positive relationship of OSA with Mets was evidenced by multivariate logistic regression analysis, and OSA was associated with higher incidence rates of all-cause and cardiovascular mortality. OSA is strongly associated with abdominal obesity, hypertension, hyperglycemia, high triglycerides, and low HDL. Furthermore, except for hypertriglyceridemia, MR analysis indicated that genetically driven OSA was causally associated with a higher risk of MetS.<br/><strong>Conclusion:</strong> The positive relationship of OSA with Mets was revealed, and higher incidence rates of all-cause mortality and cardiovascular mortality were noted to be correlated with OSA. MR analysis further confirmed the causal relationship of OSA with MetS and cardiovascular disease.<br/><br/><strong>Keywords:</strong> obstructive sleep apnea, metabolic syndrome, cardiovascular disease, NHANES, Mendelian randomization<br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140003080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Sleep-related facial mandibular myoclonus (SRFMM) remains rare in clinical practice. The aim of this study was to provide a comprehensive understanding of the electroclinical manner, therapeutic regimen, and prognosis of SRFMM. Methods: Twenty-three patients who were diagnosed with SRFMM by clinical manifestation, video-electroencephalography (EEG) and electromyography over bilateral masseter and temporalis muscles were enrolled. Clinical and electrophysiological evaluation as well as follow-up information were recorded and analyzed. Results: The cohort involved 4 infants and 19 adults with a mean onset age of 43.5 years for SRFMM, among whom 19 were male. Twenty-one patients complained of tongue injuries and disturbed night-time sleep. SRFMM in 4 patients were ascribed to oral aripiprazole, brainstem ischemia and brain trauma. In 62 SRFMM episodes, 93.5% occurred in NREM sleep and 6.5% in REM sleep, and all events were associated with EEG arousals. In 13 patients with or without clonazepam, the motor events gradually disappeared, and the rest turned to be sporadic. Conclusion: SRFMM is a characteristic parasomnia manifested by tongue biting and accompanying facial mandibular myoclonus, leading to disrupted sleep. Besides adults, infants can also experience SRFMM with spontaneous remission. Most patients respond well to clonazepam, eventually with favorable prognosis.
{"title":"Tongue Biting Event in Patients with Sleep-Related Facial Mandibular Myoclonus: A Case Series Study","authors":"Gengyao Hu, Yuanhang Pan, Na Yuan, Zhixian Yang, Xiuyu Shi, Sha Ma, Shan Li, Xiaohua Hou, Fei Liu, Dongmei Li, Junxiang Bao, Yonghong Liu","doi":"10.2147/nss.s433628","DOIUrl":"https://doi.org/10.2147/nss.s433628","url":null,"abstract":"<strong>Background:</strong> Sleep-related facial mandibular myoclonus (SRFMM) remains rare in clinical practice. The aim of this study was to provide a comprehensive understanding of the electroclinical manner, therapeutic regimen, and prognosis of SRFMM.<br/><strong>Methods:</strong> Twenty-three patients who were diagnosed with SRFMM by clinical manifestation, video-electroencephalography (EEG) and electromyography over bilateral masseter and temporalis muscles were enrolled. Clinical and electrophysiological evaluation as well as follow-up information were recorded and analyzed.<br/><strong>Results:</strong> The cohort involved 4 infants and 19 adults with a mean onset age of 43.5 years for SRFMM, among whom 19 were male. Twenty-one patients complained of tongue injuries and disturbed night-time sleep. SRFMM in 4 patients were ascribed to oral aripiprazole, brainstem ischemia and brain trauma. In 62 SRFMM episodes, 93.5% occurred in NREM sleep and 6.5% in REM sleep, and all events were associated with EEG arousals. In 13 patients with or without clonazepam, the motor events gradually disappeared, and the rest turned to be sporadic.<br/><strong>Conclusion:</strong> SRFMM is a characteristic parasomnia manifested by tongue biting and accompanying facial mandibular myoclonus, leading to disrupted sleep. Besides adults, infants can also experience SRFMM with spontaneous remission. Most patients respond well to clonazepam, eventually with favorable prognosis.<br/><br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139924507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yue Liu, Shi Qi Xie, Xia Yang, Jing Lan Chen, Jian Rong Zhou
Purpose: The clinical presentation of Obstructive Sleep Apnea (OSA) in children is insidious and harmful. Early identification of children with OSA, particularly those at a higher risk for severe symptoms, is essential for making informed clinical decisions and improving long-term outcomes. Therefore, we developed and validated a risk prediction model for severity in Chinese children with OSA to effectively identify children with moderate-to-severe OSA in a clinical setting. Patients and Methods: From June 2023 to September 2023, we retrospectively analyzed the medical records of 367 Children diagnosed with OSA through portable bedside polysomnography (PSG). Predictor variables were screened using the least absolute shrinkage and selection operator (LASSO) and logistic regression techniques to construct nomogram to predict the severity of OSA. Receiver operating characteristic curve (ROC), calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) were used to determine the discrimination, calibration, and clinical usefulness of the nomogram. Results: A total of 367 children with a median age of 84 months were included in this study. Neck circumference, ANB, gender, learning problem, and level of obstruction were identified as independent risk factors for moderate-severe OSA. The consistency indices of the nomogram in the training and validation cohorts were 0.841 and 0.75, respectively. The nomogram demonstrated a strong concordance between the predicted probabilities and the observed probabilities for children diagnosed with moderate-severe OSA. With threshold probabilities ranging from 0.1 to 1.0, the predictive model demonstrated strong predictive efficacy and yielded improved net benefit for clinical decision-making. ROC analysis was employed to classify the children into high and low-risk groups, utilizing the Optimal Cutoff value of 0.39. Conclusion: A predictive model using LASSO regression was developed and validated for children with varying levels of OSA. This model identifies children at risk of developing OSA at an early stage.
目的：儿童阻塞性睡眠呼吸暂停（OSA）的临床表现隐匿而有害。早期识别 OSA 患儿，尤其是那些症状严重的高风险患儿，对于做出明智的临床决策和改善长期预后至关重要。因此，我们开发并验证了中国儿童 OSA 严重程度风险预测模型，以便在临床环境中有效识别中重度 OSA 患儿：2023年6月至2023年9月，我们回顾性分析了367名通过便携式床旁多导睡眠图（PSG）确诊为OSA的儿童的病历。我们使用最小绝对收缩和选择算子（LASSO）和逻辑回归技术筛选了预测变量，构建了预测 OSA 严重程度的提名图。采用接收者工作特征曲线（ROC）、校准曲线、决策曲线分析（DCA）和临床影响曲线（CIC）来确定提名图的区分度、校准和临床实用性：本研究共纳入了 367 名儿童，中位年龄为 84 个月。颈围、ANB、性别、学习问题和阻塞程度被确定为中度-重度 OSA 的独立风险因素。训练组和验证组的提名图一致性指数分别为 0.841 和 0.75。对于确诊为中度严重 OSA 的儿童，提名图显示预测概率与观察概率之间具有很强的一致性。阈值概率范围为 0.1 至 1.0，该预测模型显示出很强的预测效力，并为临床决策带来了更好的净效益。采用 ROC 分析将儿童分为高风险组和低风险组，最佳临界值为 0.39：针对不同程度的 OSA 儿童，利用 LASSO 回归开发并验证了一个预测模型。该模型可在早期识别出有患 OSA 风险的儿童。关键词：阻塞性睡眠呼吸暂停；儿童；头颅测量；预测提名图；风险预测模型
{"title":"Development and Validation of a Nomogram for Predicting Obstructive Sleep Apnea Severity in Children","authors":"Yue Liu, Shi Qi Xie, Xia Yang, Jing Lan Chen, Jian Rong Zhou","doi":"10.2147/nss.s445469","DOIUrl":"https://doi.org/10.2147/nss.s445469","url":null,"abstract":"<strong>Purpose:</strong> The clinical presentation of Obstructive Sleep Apnea (OSA) in children is insidious and harmful. Early identification of children with OSA, particularly those at a higher risk for severe symptoms, is essential for making informed clinical decisions and improving long-term outcomes. Therefore, we developed and validated a risk prediction model for severity in Chinese children with OSA to effectively identify children with moderate-to-severe OSA in a clinical setting.<br/><strong>Patients and Methods:</strong> From June 2023 to September 2023, we retrospectively analyzed the medical records of 367 Children diagnosed with OSA through portable bedside polysomnography (PSG). Predictor variables were screened using the least absolute shrinkage and selection operator (LASSO) and logistic regression techniques to construct nomogram to predict the severity of OSA. Receiver operating characteristic curve (ROC), calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) were used to determine the discrimination, calibration, and clinical usefulness of the nomogram.<br/><strong>Results:</strong> A total of 367 children with a median age of 84 months were included in this study. Neck circumference, ANB, gender, learning problem, and level of obstruction were identified as independent risk factors for moderate-severe OSA. The consistency indices of the nomogram in the training and validation cohorts were 0.841 and 0.75, respectively. The nomogram demonstrated a strong concordance between the predicted probabilities and the observed probabilities for children diagnosed with moderate-severe OSA. With threshold probabilities ranging from 0.1 to 1.0, the predictive model demonstrated strong predictive efficacy and yielded improved net benefit for clinical decision-making. ROC analysis was employed to classify the children into high and low-risk groups, utilizing the Optimal Cutoff value of 0.39.<br/><strong>Conclusion:</strong> A predictive model using LASSO regression was developed and validated for children with varying levels of OSA. This model identifies children at risk of developing OSA at an early stage.<br/><br/><strong>Keywords:</strong> obstructive sleep apnea, children, cephalometric, prediction nomogram, risk prediction model<br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139924268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Obstructive sleep apnea (OSA) is a common chronic disease with various comorbidities. The cardiometabolic index (CMI) reflects visceral fat tissue distribution and function, assessing the risk of obesity-related conditions such as metabolic syndrome (MetS) and stroke, which are strongly connected to OSA. The relationship between CMI with OSA and OSA combined with MetS (OMS) remains unclear. This study aims to evaluate the screening value of CMI for OSA and OMS, compared to the lipid accumulation product (LAP). Methods: A total of 280 participants who underwent polysomnography were finally included, with the measurements of metabolic-related laboratory test results such as total cholesterol and triglyceride. Receiver operating curve (ROC) analysis and calculation of the area under the curve (AUC) were conducted to assess the screening potential of CMI, LAP, and the logistic regression models established based on them for OSA and OMS. The Youden index, sensitivity, and specificity were used to determine the optimal cutoff points. Results: ROC curve analysis revealed that the AUCs for CMI in screening OSA and OMS were 0.808 and 0.797, and the optimal cutoff values were 0.71 (sensitivity 0.797, specificity 0.776) and 0.89 (sensitivity 0.830, specificity 0.662), respectively, showing higher Youden index than LAP. The AUCs of screening models based on CMI for OSA and OMS were 0.887 and 0.824, respectively. Conclusion: CMI and LAP can effectively screen for OSA and OMS, while CMI has more practical cutoff values for identifying the diseased states. Screening models based on CMI demonstrate a high discriminatory ability for OSA and OMS, which needs verification in a large-scale population.
背景：阻塞性睡眠呼吸暂停（OSA）是一种常见的慢性疾病，具有多种并发症。心脏代谢指数（CMI）反映了内脏脂肪组织的分布和功能，可评估代谢综合征（MetS）和中风等肥胖相关疾病的风险，而这些疾病与 OSA 密切相关。CMI与OSA和OSA合并代谢综合征（OMS）之间的关系仍不清楚。本研究旨在评估 CMI 与脂质堆积产物（LAP）相比对 OSA 和 OMS 的筛查价值：方法：最终纳入了 280 名接受过多导睡眠图检查的参与者，并测量了与代谢相关的实验室检查结果，如总胆固醇和甘油三酯。通过接收者操作曲线（ROC）分析和曲线下面积（AUC）计算，评估了CMI、LAP以及基于它们建立的OSA和OMS逻辑回归模型的筛查潜力。尤登指数、灵敏度和特异性用于确定最佳截断点：ROC曲线分析显示，CMI筛查OSA和OMS的AUC分别为0.808和0.797，最佳临界值分别为0.71（灵敏度0.797，特异度0.776）和0.89（灵敏度0.830，特异度0.662），显示Youden指数高于LAP。基于 CMI 的 OSA 和 OMS 筛查模型的 AUC 分别为 0.887 和 0.824：结论：CMI 和 LAP 可有效筛查 OSA 和 OMS，而 CMI 在识别疾病状态方面具有更实用的临界值。基于 CMI 的筛查模型对 OSA 和 OMS 具有较高的鉴别能力，这需要在大规模人群中进行验证。
{"title":"Application Value of Cardiometabolic Index for the Screening of Obstructive Sleep Apnea with or Without Metabolic Syndrome","authors":"Donghao Wang, Yating Chen, Yutong Ding, Yongkang Tang, Xiaofen Su, Shiwei Li, Haojie Zhang, Yanyan Zhou, Zhiyang Zhuang, Qiming Gan, Jingcun Wang, Yuting Zhang, Dongxing Zhao, Nuofu Zhang","doi":"10.2147/nss.s449862","DOIUrl":"https://doi.org/10.2147/nss.s449862","url":null,"abstract":"<strong>Background:</strong> Obstructive sleep apnea (OSA) is a common chronic disease with various comorbidities. The cardiometabolic index (CMI) reflects visceral fat tissue distribution and function, assessing the risk of obesity-related conditions such as metabolic syndrome (MetS) and stroke, which are strongly connected to OSA. The relationship between CMI with OSA and OSA combined with MetS (OMS) remains unclear. This study aims to evaluate the screening value of CMI for OSA and OMS, compared to the lipid accumulation product (LAP).<br/><strong>Methods:</strong> A total of 280 participants who underwent polysomnography were finally included, with the measurements of metabolic-related laboratory test results such as total cholesterol and triglyceride. Receiver operating curve (ROC) analysis and calculation of the area under the curve (AUC) were conducted to assess the screening potential of CMI, LAP, and the logistic regression models established based on them for OSA and OMS. The Youden index, sensitivity, and specificity were used to determine the optimal cutoff points.<br/><strong>Results:</strong> ROC curve analysis revealed that the AUCs for CMI in screening OSA and OMS were 0.808 and 0.797, and the optimal cutoff values were 0.71 (sensitivity 0.797, specificity 0.776) and 0.89 (sensitivity 0.830, specificity 0.662), respectively, showing higher Youden index than LAP. The AUCs of screening models based on CMI for OSA and OMS were 0.887 and 0.824, respectively.<br/><strong>Conclusion:</strong> CMI and LAP can effectively screen for OSA and OMS, while CMI has more practical cutoff values for identifying the diseased states. Screening models based on CMI demonstrate a high discriminatory ability for OSA and OMS, which needs verification in a large-scale population.<br/><br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139924509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: In recent years, multiple observational studies have confirmed the association between sleep traits and various human physiopathological states. However, the causal relationship between sleep traits and hypothalamic-pituitary-target gland axis (HPTGA) function remains unknown. Methods: We obtained summary statistics on sleep traits (insomnia, chronotype, and sleep duration (long and short)) from the UK Biobank database. Data related to the HPTGA functions were obtained from the publicly available database. Subsequently, a two-sample Mendelian randomization (MR) analysis was performed to investigate the causal relationship between different sleep traits and the HPTGA function. Reverse MR analysis was conducted to examine the direction of causality. Results: The MR analysis results suggested that chronotype is associated with decreased levels of six hormones in HPTGA. Sleep duration was causally associated with decreased levels of free thyroxine and progesterone. Both long and short sleep durations are detrimental to the secretion of prolactin-releasing peptide, somatostatin, and plasma cortisol, while short sleep duration can promote progesterone secretion. After gender stratification, we found that female reproductive function is more susceptible to the influence of unfavorable sleep traits. Conclusion: Our MR analysis indicated a significant causal association between chronotype and suppressed gonadal function in healthy adult humans, with no apparent gender-specific effect. Extreme sleep durations were also found to be detrimental to the maintenance of normal HPTGA secretion function. Compared to males, gonadal function in the female cohort is more susceptible to extreme sleep habits. Subsequent observational studies are urgently needed to confirm the underlying mechanisms.
{"title":"Causal Relationship Between Sleep Traits and Hypothalamic-Pituitary-Target Gland Axis Function: A Mendelian Randomization Study","authors":"Ziyu Ren, Jiangchuan Long, Wenzhen Deng, Yuanyuan Jing, Jingwen Qiu, Wei Ren, Dongfang Liu","doi":"10.2147/nss.s442231","DOIUrl":"https://doi.org/10.2147/nss.s442231","url":null,"abstract":"<strong>Background:</strong> In recent years, multiple observational studies have confirmed the association between sleep traits and various human physiopathological states. However, the causal relationship between sleep traits and hypothalamic-pituitary-target gland axis (HPTGA) function remains unknown.<br/><strong>Methods:</strong> We obtained summary statistics on sleep traits (insomnia, chronotype, and sleep duration (long and short)) from the UK Biobank database. Data related to the HPTGA functions were obtained from the publicly available database. Subsequently, a two-sample Mendelian randomization (MR) analysis was performed to investigate the causal relationship between different sleep traits and the HPTGA function. Reverse MR analysis was conducted to examine the direction of causality.<br/><strong>Results:</strong> The MR analysis results suggested that chronotype is associated with decreased levels of six hormones in HPTGA. Sleep duration was causally associated with decreased levels of free thyroxine and progesterone. Both long and short sleep durations are detrimental to the secretion of prolactin-releasing peptide, somatostatin, and plasma cortisol, while short sleep duration can promote progesterone secretion. After gender stratification, we found that female reproductive function is more susceptible to the influence of unfavorable sleep traits.<br/><strong>Conclusion:</strong> Our MR analysis indicated a significant causal association between chronotype and suppressed gonadal function in healthy adult humans, with no apparent gender-specific effect. Extreme sleep durations were also found to be detrimental to the maintenance of normal HPTGA secretion function. Compared to males, gonadal function in the female cohort is more susceptible to extreme sleep habits. Subsequent observational studies are urgently needed to confirm the underlying mechanisms.<br/><br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139768884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jun Zhang, Xiaoyan Chen, Yan Zhu, Shanshan Wan, Shuqiong Hu, Yanning Yang
Background: Although previous studies of sleep-related behaviors in relation to primary open-angle glaucoma (POAG) have been noted, the causal relationship remains unclear. The purpose of our present study was to investigate the relationships of genetically predicted sleep traits with POAG using a two-sample bidirectional Mendelian randomization (MR) method. Methods: Summary-level data collected from publicly available genome-wide association studies (GWAS) of European decent were applied for the bidirectional MR analysis. After quality control steps, independent single-nucleotide polymorphisms for eight sleep behaviors and POAG were selected as the genetic instruments. The inverse-variance weighted (IVW) approach was adopted as the primary method, which was complemented by a series of sensitivity analyses to assess the robustness of the results by estimating heterogeneity and pleiotropy. Multivariable MR (MVMR) was used to assess the direct effect of sleep traits on POAG, after adjusting for several confounding factors. Results: Our investigation revealed a positive correlation between genetically predicted ease of getting up in the morning and sleep duration and POAG using the IVW method (odds ratio (OR)=1.78, 95% confidence interval (CI):1.29– 2.46, P = 4.33× 10− 4; OR = 1.66, 95% CI:1.18– 2.34, P = 3.38× 10− 3, respectively). Other supplementary MR methods also confirmed similar results. Moreover, the MVMR results also revealed that the adverse effects of these two sleep traits on POAG persisted after adjusting for body mass index, smoking, drinking, and education (all P < 0.05). Conversely, the relationships between genetic liability of POAG and different sleep behaviors were not statistically significant in the reverse-direction MR estimate (all P > 0.05). Conclusion: Our study demonstrated that genetic prediction of getting up easily in the morning or sleep duration were associated with a higher risk of POAG, but not vice versa, in a European population. Further validation and clinical interventions are required to offer potential strategies to prevent and manage POAG.
{"title":"Investigating the Causal Relationship Between Sleep Behaviors and Primary Open-Angle Glaucoma: A Bidirectional Two-Sample Mendelian Randomization Study","authors":"Jun Zhang, Xiaoyan Chen, Yan Zhu, Shanshan Wan, Shuqiong Hu, Yanning Yang","doi":"10.2147/nss.s439274","DOIUrl":"https://doi.org/10.2147/nss.s439274","url":null,"abstract":"<strong>Background:</strong> Although previous studies of sleep-related behaviors in relation to primary open-angle glaucoma (POAG) have been noted, the causal relationship remains unclear. The purpose of our present study was to investigate the relationships of genetically predicted sleep traits with POAG using a two-sample bidirectional Mendelian randomization (MR) method.<br/><strong>Methods:</strong> Summary-level data collected from publicly available genome-wide association studies (GWAS) of European decent were applied for the bidirectional MR analysis. After quality control steps, independent single-nucleotide polymorphisms for eight sleep behaviors and POAG were selected as the genetic instruments. The inverse-variance weighted (IVW) approach was adopted as the primary method, which was complemented by a series of sensitivity analyses to assess the robustness of the results by estimating heterogeneity and pleiotropy. Multivariable MR (MVMR) was used to assess the direct effect of sleep traits on POAG, after adjusting for several confounding factors.<br/><strong>Results:</strong> Our investigation revealed a positive correlation between genetically predicted ease of getting up in the morning and sleep duration and POAG using the IVW method (odds ratio (OR)=1.78, 95% confidence interval (CI):1.29– 2.46, P = 4.33× 10<sup>− 4</sup>; OR = 1.66, 95% CI:1.18– 2.34, P = 3.38× 10<sup>− 3</sup>, respectively). Other supplementary MR methods also confirmed similar results. Moreover, the MVMR results also revealed that the adverse effects of these two sleep traits on POAG persisted after adjusting for body mass index, smoking, drinking, and education (all P < 0.05). Conversely, the relationships between genetic liability of POAG and different sleep behaviors were not statistically significant in the reverse-direction MR estimate (all P > 0.05).<br/><strong>Conclusion:</strong> Our study demonstrated that genetic prediction of getting up easily in the morning or sleep duration were associated with a higher risk of POAG, but not vice versa, in a European population. Further validation and clinical interventions are required to offer potential strategies to prevent and manage POAG.<br/><br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139773554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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