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Yang C, Yan P, Wu X, Zhang W, Cui H, Zhang L, Xu Z, Peng S, Tang M, Wang Y, Chen L, Zou Y, Liu Y, Zhang M, Zhao X, Xiao J, Xiao C, Zhang L, Yao Y, Li J, Liu Z, Yang C, Jiang X, Zhang B. Associations of sleep with cardiometabolic risk factors and cardiovascular diseases: An umbrella review of observational and mendelian randomization studies. Sleep Med Rev 2024; 77:101965. [PMID: 39137553 DOI: 10.1016/j.smrv.2024.101965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 05/09/2024] [Accepted: 05/26/2024] [Indexed: 08/15/2024]
Abstract
Two researchers independently assessed studies published up to February 5, 2023, across PubMed, Web of Science, Embase, and Cochrane Library, to investigate the associations of sleep traits with cardiometabolic risk factors, as well as with cardiovascular diseases. Fourteen systematic reviews consisting of 23 meta-analyses, and 11 Mendelian randomization (MR) studies were included in this study. Short sleep duration was associated with a higher risk of obesity, type 2 diabetes (T2D), hypertension, stroke, and coronary heart disease (CHD) in observational studies, while a causal role was only demonstrated in obesity, hypertension, and CHD by MR. Similarly, long sleep duration showed connections with a higher risk of obesity, T2D, hypertension, stroke, and CHD in observational studies, none was supported by MR analysis. Both observational and MR studies indicated heightened risks of hypertension, stroke, and CHD in relation to insomnia. Napping was linked to elevated risks of T2D and CHD in observational studies, with MR analysis confirming a causal role in T2D. Additionally, snoring was correlated with increased risks of stroke and CHD in both observational and MR studies. This work consolidates existing evidence on a causal relationship between sleep characteristics and cardiometabolic risk factors, as well as cardiovascular diseases.
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Affiliation(s)
- Chao Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China; School of Public Health, Southwest Medical University, Luzhou, Sichuan, China
| | - Peijing Yan
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xueyao Wu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wenqiang Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Huijie Cui
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhengxing Xu
- School of Public Health, Southwest Medical University, Luzhou, Sichuan, China
| | - Shanshan Peng
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Mingshuang Tang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yutong Wang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lin Chen
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yanqiu Zou
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yunjie Liu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Min Zhang
- Clinical Research Center, Women and Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Xunying Zhao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jinyu Xiao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chenghan Xiao
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Ling Zhang
- Department of Iatrical Polymer Material and Artificial Apparatus, School of Polymer Science and Engineering, Sichuan University, Chengdu, China
| | - Yuqin Yao
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiayuan Li
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhenmi Liu
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chunxia Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xia Jiang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
| | - Ben Zhang
- Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
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Jung E, Ju UC, Ryu HH, Kim HL. Impact of snoring on the risk of stroke in patients with diabetes mellitus. Sleep Breath 2024:10.1007/s11325-024-03131-z. [PMID: 39150591 DOI: 10.1007/s11325-024-03131-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 07/13/2024] [Accepted: 07/31/2024] [Indexed: 08/17/2024]
Abstract
BACKGROUND The impact of snoring and diabetes on stroke risk is unclear. This study examined the association between snoring and stroke risk and how it varies with diabetes mellitus (DM) status. METHODS This research was conducted as a prospective cohort study. A total of 4,352 subjects were included in the analysis, with a mean follow-up time of 13.7 years. The study used snoring history obtained through interviews as the primary exposure variable and DM as the secondary exposure variable. The main outcome measured was the occurrence of stroke. Cox regression analysis was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Additionally, a joint test was conducted to evaluate the combined effect of snoring and diabetes on the occurrence of stroke. RESULTS In our study of 4,352 subjects, 1,135 (26.1%) had a history of snoring, 233 (5.4%) had diabetes mellitus, and over the 18-year observation period, there were 168 cases of new-onset stroke. Snoring was not associated with an increased risk of stroke (HR: 0.95, 95% CI [0.68-1.33]), but DM significantly elevated the risk of stroke (3.02 [1.96-4.65]). In the interaction analysis of snoring and DM status on stroke risk, snoring was a significant risk factor for stroke only in the population with DM (2.89 [1.07-7.60]). Compared to non-snoring and non-DM, the multivariate HRs for stroke were 1.09 (0.76-1.57) for snoring and non-DM, 1.64 (0.83-2.82) for non-snoring and DM, and 2.95 (1.42-5.45) for snoring and DM. CONCLUSION Diabetes mellitus was associated with an increased risk of stroke, while a history of snoring was not. In a sub analysis, snoring appeared to be associated with an increased risk of stroke among subjects with diabetes mellitus.
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Affiliation(s)
- Eujene Jung
- Department of Medicine, Chonnam National University, Gwangju, Korea
- Department of Emergency Medicine, Chonnam National University Hospital, Gwangju, Korea
| | - U Chul Ju
- Department of Medicine, Chonnam National University, Gwangju, Korea
- Department of Obstetrics and Gynecology, Chonnam National University Hospital, Gwangju, Korea
| | - Hyun Ho Ryu
- Department of Medicine, Chonnam National University, Gwangju, Korea.
- Department of Emergency Medicine, Chonnam National University Hospital, Gwangju, Korea.
| | - Hyun Lee Kim
- Department of Internal Medicine, Chosun University Medical School, Gwangju, Korea
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Zhu Y, Zhuang Z, Lv J, Sun D, Pei P, Yang L, Millwood IY, Walters RG, Chen Y, Du H, Wu X, Schmidt D, Avery D, Chen J, Chen Z, Li L, Yu C. Causal association between snoring and stroke: a Mendelian randomization study in a Chinese population. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 44:101001. [PMID: 38304719 PMCID: PMC10832459 DOI: 10.1016/j.lanwpc.2023.101001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/24/2023] [Accepted: 12/19/2023] [Indexed: 02/03/2024]
Abstract
Background Previous observational studies established a positive relationship between snoring and stroke. We aimed to investigate the causal effect of snoring on stroke. Methods Based on 82,339 unrelated individuals with qualified genotyping data of Asian descent from the China Kadoorie Biobank (CKB), we conducted a Mendelian randomization (MR) analysis of snoring and stroke. Genetic variants identified in the genome-wide association analysis (GWAS) of snoring in CKB and UK Biobank (UKB) were selected for constructing genetic risk scores (GRS). A two-stage method was applied to estimate the associations of the genetically predicted snoring with stroke and its subtypes. Besides, MR analysis among the non-obese group (body mass index, BMI <24.0 kg/m2), as well as multivariable MR (MVMR), were performed to control for potential pleiotropy from BMI. In addition, the inverse-variance weighted (IVW) method was applied to estimate the causal association with genetic variants identified in CKB GWAS. Findings Positive associations were found between snoring and total stroke, hemorrhagic stroke (HS), and ischemic stroke (IS). With GRS of CKB, the corresponding HRs (95% CIs) were 1.56 (1.15, 2.12), 1.50 (0.84, 2.69), 2.02 (1.36, 3.01), and the corresponding HRs (95% CIs) using GRS of UKB were 1.78 (1.30, 2.43), 1.94 (1.07, 3.52), and 1.74 (1.16, 2.61). The associations remained stable in the MR among the non-obese group, MVMR analysis, and MR analysis using the IVW method. Interpretation This study suggests that, among Chinese adults, genetically predicted snoring could increase the risk of total stroke, IS, and HS, and the causal effect was independent of BMI. Funding National Natural Science Foundation of China, Kadoorie Charitable Foundation Hong Kong, UK Wellcome Trust, National Key R&D Program of China, Chinese Ministry of Science and Technology.
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Affiliation(s)
- Yunqing Zhu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Zhenhuang Zhuang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
| | - Jun Lv
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China
| | - Dianjianyi Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, OX3 7LF, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, United Kingdom
| | - Iona Y. Millwood
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, OX3 7LF, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, United Kingdom
| | - Robin G. Walters
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, OX3 7LF, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, United Kingdom
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, OX3 7LF, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, United Kingdom
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, OX3 7LF, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, United Kingdom
| | - Xianping Wu
- Suzhou Centers for Disease Control, NO.72 Sanxiang Road, Gusu District, Suzhou, 215004, Jiangsu, China
| | - Dan Schmidt
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, United Kingdom
| | - Daniel Avery
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, United Kingdom
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, 100022, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, United Kingdom
| | - Liming Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China
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Nambiema A, Lisan Q, Vaucher J, Perier MC, Boutouyrie P, Danchin N, Thomas F, Guibout C, Solelhac G, Heinzer R, Jouven X, Marques-Vidal P, Empana JP. Healthy sleep score changes and incident cardiovascular disease in European prospective community-based cohorts. Eur Heart J 2023; 44:4968-4978. [PMID: 37860848 PMCID: PMC10719494 DOI: 10.1093/eurheartj/ehad657] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 06/20/2023] [Accepted: 07/25/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND AND AIMS Evidence on the link between sleep patterns and cardiovascular diseases (CVDs) in the community essentially relies on studies that investigated one single sleep pattern at one point in time. This study examined the joint effect of five sleep patterns at two time points with incident CVD events. METHODS By combining the data from two prospective studies, the Paris Prospective Study III (Paris, France) and the CoLaus|PsyCoLaus study (Lausanne, Switzerland), a healthy sleep score (HSS, range 0-5) combining five sleep patterns (early chronotype, sleep duration of 7-8 h/day, never/rarely insomnia, no sleep apnoea, and no excessive daytime sleepiness) was calculated at baseline and follow-up. RESULTS The study sample included 11 347 CVD-free participants aged 53-64 years (44.6% women). During a median follow-up of 8.9 years [interquartile range (IQR): 8.0-10.0], 499 first CVD events occurred (339 coronary heart disease (CHD) and 175 stroke). In multivariate Cox analysis, the risk of CVD decreased by 18% [hazard ratio (HR) 0.82, 95% confidence interval (CI) 0.76-0.89] per one-point increment in the HSS. After a median follow-up of 6.0 years (IQR: 4.0-8.0) after the second follow-up, 262 first CVD events occurred including 194 CHD and 72 stroke. After adjusting for baseline HSS and covariates, the risk of CVD decreased by 16% (HR 0.84, 95% CI 0.73-0.97) per unit higher in the follow-up HSS over 2-5 years. CONCLUSIONS Higher HSS and HSS improvement over time are associated with a lower risk of CHD and stroke in the community.
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Affiliation(s)
- Aboubakari Nambiema
- Université Paris Cité, INSERM U970, Paris Cardiovascular Research Centre (PARCC), Integrative Epidemiology of Cardiovascular Disease, 56 rue Leblanc, Paris 75015, France
| | - Quentin Lisan
- Université Paris Cité, INSERM U970, Paris Cardiovascular Research Centre (PARCC), Integrative Epidemiology of Cardiovascular Disease, 56 rue Leblanc, Paris 75015, France
- Department of Head and Neck Surgery, Foch Hospital, Suresnes, France
| | - Julien Vaucher
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Marie-Cecile Perier
- Université Paris Cité, INSERM U970, Paris Cardiovascular Research Centre (PARCC), Integrative Epidemiology of Cardiovascular Disease, 56 rue Leblanc, Paris 75015, France
| | - Pierre Boutouyrie
- Université Paris Cité, INSERM U970, Paris Cardiovascular Research Centre (PARCC), Cellular, Molecular and Pathophysiological Mechanisms of Heart Failure, APHP, DMU CARTE, Pharmacology, Paris, France
| | - Nicolas Danchin
- Preventive and Clinical Investigation Center (IPC), Paris, France
| | | | - Catherine Guibout
- Université Paris Cité, INSERM U970, Paris Cardiovascular Research Centre (PARCC), Integrative Epidemiology of Cardiovascular Disease, 56 rue Leblanc, Paris 75015, France
| | - Geoffroy Solelhac
- Center for Investigation and Research in Sleep, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Raphael Heinzer
- Center for Investigation and Research in Sleep, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Xavier Jouven
- Université Paris Cité, INSERM U970, Paris Cardiovascular Research Centre (PARCC), Integrative Epidemiology of Cardiovascular Disease, 56 rue Leblanc, Paris 75015, France
| | - Pedro Marques-Vidal
- Center for Investigation and Research in Sleep, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Jean-Philippe Empana
- Université Paris Cité, INSERM U970, Paris Cardiovascular Research Centre (PARCC), Integrative Epidemiology of Cardiovascular Disease, 56 rue Leblanc, Paris 75015, France
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Palomares DE, Tran PL, Jerman C, Momayez M, Deymier P, Sheriff J, Bluestein D, Parthasarathy S, Slepian MJ. Vibro-Acoustic Platelet Activation: An Additive Mechanism of Prothrombosis with Applicability to Snoring and Obstructive Sleep Apnea. Bioengineering (Basel) 2023; 10:1414. [PMID: 38136005 PMCID: PMC10741028 DOI: 10.3390/bioengineering10121414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 11/28/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023] Open
Abstract
Introduction: Obstructive sleep apnea (OSA) and loud snoring are conditions with increased cardiovascular risk and notably an association with stroke. Central in stroke are thrombosis and thromboembolism, all related to and initiaing with platelet activation. Platelet activation in OSA has been felt to be driven by biochemical and inflammatory means, including intermittent catecholamine exposure and transient hypoxia. We hypothesized that snore-associated acoustic vibration (SAAV) is an activator of platelets that synergizes with catecholamines and hypoxia to further amplify platelet activation. Methods: Gel-filtered human platelets were exposed to snoring utilizing a designed vibro-acoustic exposure device, varying the time and intensity of exposure and frequency content. Platelet activation was assessed via thrombin generation using the Platelet Activity State assay and scanning electron microscopy. Comparative activation induced by epinephrine and hypoxia were assessed individually as well as additively with SAAV, as well as the inhibitory effect of aspirin. Results: We demonstrate that snore-associated acoustic vibration is an independent activator of platelets, which is dependent upon the dose of exposure, i.e., intensity x time. In snoring, acoustic vibrations associated with low-frequency sound content (200 Hz) are more activating than those associated with high frequencies (900 Hz) (53.05% vs. 22.08%, p = 0.001). Furthermore, SAAV is additive to both catecholamines and hypoxia-mediated activation, inducing synergistic activation. Finally, aspirin, a known inhibitor of platelet activation, has no significant effect in limiting SAAV platelet activation. Conclusion: Snore-associated acoustic vibration is a mechanical means of platelet activation, which may drive prothrombosis and thrombotic risk clinically observed in loud snoring and OSA.
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Affiliation(s)
- Daniel E. Palomares
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85724, USA;
- Arizona Center for Accelerated Biomedical Innovation, University of Arizona, Tucson, AZ 85724, USA; (P.L.T.); (M.M.); (P.D.); (S.P.)
| | - Phat L. Tran
- Arizona Center for Accelerated Biomedical Innovation, University of Arizona, Tucson, AZ 85724, USA; (P.L.T.); (M.M.); (P.D.); (S.P.)
- Department of Medicine, University of Arizona, Tucson, AZ 85724, USA;
| | - Catherine Jerman
- Department of Medicine, University of Arizona, Tucson, AZ 85724, USA;
| | - Moe Momayez
- Arizona Center for Accelerated Biomedical Innovation, University of Arizona, Tucson, AZ 85724, USA; (P.L.T.); (M.M.); (P.D.); (S.P.)
- Department of Mining & Geological Engineering, University of Arizona, Tucson, AZ 85724, USA
| | - Pierre Deymier
- Arizona Center for Accelerated Biomedical Innovation, University of Arizona, Tucson, AZ 85724, USA; (P.L.T.); (M.M.); (P.D.); (S.P.)
- Department of Materials Science & Engineering, University of Arizona, Tucson, AZ 85724, USA
| | - Jawaad Sheriff
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA; (J.S.); (D.B.)
| | - Danny Bluestein
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA; (J.S.); (D.B.)
| | - Sairam Parthasarathy
- Arizona Center for Accelerated Biomedical Innovation, University of Arizona, Tucson, AZ 85724, USA; (P.L.T.); (M.M.); (P.D.); (S.P.)
- Department of Medicine, University of Arizona, Tucson, AZ 85724, USA;
- Health Sciences Center for Sleep and Circadian Sciences, University of Arizona, Tucson, AZ 85724, USA
| | - Marvin J. Slepian
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ 85724, USA;
- Arizona Center for Accelerated Biomedical Innovation, University of Arizona, Tucson, AZ 85724, USA; (P.L.T.); (M.M.); (P.D.); (S.P.)
- Department of Medicine, University of Arizona, Tucson, AZ 85724, USA;
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA; (J.S.); (D.B.)
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6
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Wang P, Chen C, Wang X, Zhang N, Lv D, Li W, Peng F, Wang X. Does seasonality affect snoring? A study based on international data from the past decade. Sleep Breath 2023; 27:1297-1307. [PMID: 36219385 PMCID: PMC9552723 DOI: 10.1007/s11325-022-02717-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 08/22/2022] [Accepted: 09/27/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND Though snoring is often regarded as a harmless condition that coincides with sound sleep, it is a sleep disorder that can be a potential indicator of more severe conditions such as sleep apnea syndrome. In the present study, we investigated the association between seasonal variations and snoring. METHOD Search index for snoring (SIS) data were obtained from Google Trends and Baidu Index. SIS data were collected for the USA, India, Germany, Russia, Japan, Australia, China, and Brazil from 2011 to 2020, with the periodicity of the relationship between seasonal time series data and snoring evaluated using a time series decomposition model. RESULT The highest average SIS growth rates from 2011 to 2020 were observed for Brazil, Japan, and Germany, with average SIS values of 94%, 68%, and 49%, respectively. The SIS of the USA, Russia, Japan, Brazil, Australia, Germany, and India increased by 22.3%, 12.4%, 11.9%, 35.4%, 12.3%, 28.0%, and 55.8%, respectively, in comparison with their SIS values in 2019, whereas for China, it decreased by 13.7%. Relative to countries in the southern hemisphere, those in the northern hemisphere showed comparable SIS trends, increasing from September to February and decreasing from March to August. CONCLUSION The SIS data showed cyclical changes over the study period. The search index for snoring increased during the cold season or the heating season, suggesting that snoring is associated with seasonal changes.
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Affiliation(s)
- Ping Wang
- State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin, 300072, China
- Shandong Academy of Chinese Medicine, Jinan, 250014, China
| | - Cai Chen
- Shandong Institute of Advanced Technology Chinese Academy of Sciences, Jinan, 250000, China
| | - Xingwei Wang
- Shandong Institute of Advanced Technology Chinese Academy of Sciences, Jinan, 250000, China
| | - Ningling Zhang
- Shandong Institute of Advanced Technology Chinese Academy of Sciences, Jinan, 250000, China
| | - Danyang Lv
- Shandong Institute of Advanced Technology Chinese Academy of Sciences, Jinan, 250000, China
| | - Wei Li
- Biomedical Engineering Institute, School of Control Science and Engineering, Shandong University, Jinan, 250061, China.
| | - Fulai Peng
- Shandong Institute of Advanced Technology Chinese Academy of Sciences, Jinan, 250000, China.
| | - Xiuli Wang
- Department of Pulmonary and Critical Care Medicine, Yantai Yeda Hospital, Yantai, China.
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7
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He Q, Ren L, Li H, Wang W, Tao C, Ma L, You C. Genetic insights into the risk of snoring on stroke and ischemic stroke: A single-variable and multivariable Mendelian randomization. Front Neurol 2022; 13:1023748. [PMID: 36530606 PMCID: PMC9754687 DOI: 10.3389/fneur.2022.1023748] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 10/31/2022] [Indexed: 02/15/2024] Open
Abstract
Background Multiple risk factors of stroke have been identified in previous studies; however, the causal role of snoring in the onset of stroke is less investigated. To clarify the causal association of snoring on stroke and its subtypes, this study is performed. Methods The single nucleotide polymorphisms in relation to snoring were retrieved from the UK biobank cohort with 408,317 participants. The data for stroke and its subtypes of European ancestry (67,162 cases and 453,702 controls) were obtained from the MEGASTROKE consortium. In single-variable Mendelian randomization (SVMR) and multivariable MR (MVMR) analyses, inverse variance weighting was used as the primary estimate, complemented with sensitivity analyses more robust to pleiotropy. Results Genetically predicted snoring increased the risk of stroke (odds ratio [OR] = 2.69, 95% confidence interval [CI] = 1.19-6.08, P = 0.016) and ischemic stroke (IS) (OR = 2.82, 95% CI = 1.23-6.44, P = 0.013), but not large artery stroke (LAS) (OR = 3.02, 95% CI = 0.31-29.44, P = 0.339), cardioembolic stroke (CES) (OR = 1.51, 95% CI = 0.58-3.92, P = 0.395). We provide novel genetic evidence that snoring increases the risk of stroke and IS, but not LAS, CES, and SVS. Conclusion Our findings provide novel genetic evidence that snoring increases the risk of stroke and IS, but not LAS, CES, and SVS.
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Affiliation(s)
- Qiang He
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Li Ren
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China
| | - Hao Li
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Institute of Radiation Medicine, Beijing, China
| | - Wenjing Wang
- West China Hospital, Sichuan University, Chengdu, China
| | - Chuanyuan Tao
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Lu Ma
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Chao You
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
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Makarem N, Alcantara C, Musick S, Quesada O, Sears DD, Chen Z, Tehranifar P. Multidimensional Sleep Health Is Associated with Cardiovascular Disease Prevalence and Cardiometabolic Health in US Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191710749. [PMID: 36078471 PMCID: PMC9518578 DOI: 10.3390/ijerph191710749] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/22/2022] [Accepted: 08/23/2022] [Indexed: 06/01/2023]
Abstract
Individual sleep dimensions have been linked to cardiovascular disease (CVD) risk and cardiometabolic health (CMH), but sleep health is multifaceted. We investigated associations of a multidimensional sleep health (MDSH) score, enabling the assessment of sleep health gradients, with CVD and CMH. Participants were 4555 adults aged ≥20 years from the 2017-2018 National Health and Nutrition Examination Survey. A MDSH score, capturing poor, moderate, and ideal sleep was computed from self-reported sleep duration, sleep regularity, difficulty falling asleep, symptoms of sleep disorders, and daytime sleepiness. Survey-weighted multivariable linear and logistic models examined associations of MDSH with CVD and CMH. Ideal and moderate vs. poor MDSH were related to lower odds of hypertension (62% and 41%), obesity (73% and 56%), and central adiposity (68% and 55%), respectively; a statistically significant linear trend was observed across gradients of MDSH (p-trend < 0.001). Ideal vs. moderate/poor MDSH was associated with 32% and 40% lower odds of prevalent CVD and type 2 diabetes, respectively. More favorable MDSH was associated with lower blood pressure, BMI, waist circumference, and fasting glucose. In sex-stratified analyses, ideal vs. moderate/poor MDSH was associated with lower CVD odds and blood pressure in women only. The MDSH framework may be more than just the sum of its parts and could better capture information regarding CVD risk.
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Affiliation(s)
- Nour Makarem
- Department of Epidemiology, Mailman School of Public Heath, Columbia University Irving Medical Center, New York, NY 10032, USA
| | | | - Sydney Musick
- Department of Epidemiology, Mailman School of Public Heath, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Odayme Quesada
- Women’s Heart Center, The Christ Hospital Heart and Vascular Institute, Cincinnati, OH 45219, USA
| | - Dorothy D. Sears
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA
- Department of Medicine, University of California San Diego, San Diego, CA 92093, USA
- Center for Circadian Biology, University of California San Diego, San Diego, CA 92093, USA
| | - Ziyu Chen
- Department of Epidemiology, Mailman School of Public Heath, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Parisa Tehranifar
- Department of Epidemiology, Mailman School of Public Heath, Columbia University Irving Medical Center, New York, NY 10032, USA
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Dal Fabbro C, Harris P, Dufresne E, Herrero Babiloni A, Mayer P, Bahig H, Filion E, Nguyen F, Ghannoum J, Schmittbuhl M, Lavigne G. Orofacial Pain and Snoring/Obstructive Sleep Apnea in Individuals with Head and Neck Cancer: A Critical Review. J Oral Facial Pain Headache 2022; 36:85-102. [PMID: 35943322 PMCID: PMC10586573 DOI: 10.11607/ofph.3176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 04/13/2022] [Indexed: 11/16/2023]
Abstract
AIMS (1) To summarize current knowledge on the prevalence, intensity, and descriptors of orofacial pain and snoring/obstructive sleep apnea (OSA) before and after head and neck cancer (HNC) treatment; and (2) to propose future directions for research. METHODS The median prevalence for each condition was estimated from the most recent systematic reviews (SRs) and updated with new findings retrieved from the PubMed, Web of Science, Embase, and Cochrane databases up to December 2021. RESULTS The prevalence of HNC pain seems relatively stable over time, with a median of 31% before treatment in three studies to a median of 39% at 1 month to 16 years after treatment in six studies. HNC pain intensity remains mild to moderate. There was a threefold increase in temporomandibular pain prevalence after surgery (median 7.25% before to 21.3% after). The data for snoring prevalence are unreliable. The OSA/HNC prevalence seems relatively stable over time, with a median of 72% before treatment in three studies to 77% after treatment in 14 studies. CONCLUSION With the exception of temporomandibular pain, the prevalence of HNC pain and OSA seems to be stable over time. Future studies should: (1) compare the trajectory of change over time according to each treatment; (2) compare individuals with HNC to healthy subjects; (3) use a standardized and comparable method of data collection; and (4) assess tolerance to oral or breathing devices, since HNC individuals may have mucosal sensitivity or pain.
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