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Lacsa JEM. Too much or too little: The U-shaped link between sleep duration and hypertension risk in Asian populations. INTERNATIONAL JOURNAL OF CARDIOLOGY. CARDIOVASCULAR RISK AND PREVENTION 2025; 25:200411. [PMID: 40330156 PMCID: PMC12051643 DOI: 10.1016/j.ijcrp.2025.200411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/11/2025] [Accepted: 04/16/2025] [Indexed: 05/08/2025]
Affiliation(s)
- Jose Eric M Lacsa
- De La Salle University, Theology and Religious Education, Taft, 1007, Malate, National Capital Region, Philippines
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2
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Pinilla L, Cano-Pumarega I, Sánchez-de-la-Torre M. Sleep and Cardiovascular Health. Semin Respir Crit Care Med 2025. [PMID: 40398649 DOI: 10.1055/a-2591-5462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2025]
Abstract
Sleep is recognized as a foundational pillar of health, essential for maintaining nearly all vital processes, and a crucial component of cardiovascular function. In recent years, there has been a paradigm shift to conceptualize sleep health as a combination of multiple domains, including duration, timing, quality, variability/regularity, habits/behaviors, and disordered sleep. This review provides a comprehensive overview of the current evidence linking the multifaceted elements that contribute to healthy sleep with cardiovascular and blood pressure-related outcomes. The reviewed literature indicates a strong relationship between sleep and cardiovascular health. However, the specific pathophysiological mechanisms that bridge the various dimensions of sleep with cardiovascular outcomes remain elusive. Given the global burden of cardiovascular disease, understanding the interplay between sleep and cardiovascular health has important implications for both individual and population health. Sustained efforts to move beyond a focus on discrete domains of sleep are essential to fully understand this complex and potentially bidirectional relationship. Promoting healthy sleep patterns and optimizing the management and treatment of sleep disorders are key steps toward developing more comprehensive strategies for reducing cardiovascular risk. Integrating sleep health into routine clinical care is identified as a critical opportunity to enhance cardiovascular disease prevention and management, particularly among vulnerable and high-risk populations.
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Affiliation(s)
- Lucía Pinilla
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Irene Cano-Pumarega
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Sleep Unit, Pneumology Department, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain
| | - Manuel Sánchez-de-la-Torre
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
- Department of Nursing, Physiotherapy and Occupational Therapy, Faculty of Physiotherapy and Nursing, Group of Precision Medicine in Chronic Diseases, Hospital Nacional de Parapléjicos, IDISCAM, University of Castilla-La Mancha, Toledo, Spain
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3
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Yoshida Y, Jin Z, Russo C, Homma S, Mannina C, Nakanishi K, Rundek T, Elkind MS, Di Tullio MR. Sleep Duration and Subclinical Left Ventricular Dysfunction in Older Adults. J Am Soc Echocardiogr 2025; 38:443-445. [PMID: 39528090 PMCID: PMC12049268 DOI: 10.1016/j.echo.2024.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2024] [Accepted: 11/01/2024] [Indexed: 11/16/2024]
Affiliation(s)
- Yuriko Yoshida
- Department of Medicine, Columbia University, New York, NY
| | - Zhezhen Jin
- Department of Biostatistics, Columbia University, New York, NY
| | - Cesare Russo
- Department of Medicine, Columbia University, New York, NY
| | - Shunichi Homma
- Department of Medicine, Columbia University, New York, NY
| | - Carlo Mannina
- Department of Medicine, Columbia University, New York, NY
| | - Koki Nakanishi
- Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Tatjana Rundek
- Department of Neurology, Evelyn F. McKnight Brain Institute, Miller School of Medicine, University of Miami, FL
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, FL
- Clinical and Translational Science Institute, Miller School of Medicine, University of Miami, FL
| | - Mitchell S.V. Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
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4
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Nagarajan P, Winkler TW, Bentley AR, Miller CL, Kraja AT, Schwander K, Lee S, Wang W, Brown MR, Morrison JL, Giri A, O'Connell JR, Bartz TM, de Las Fuentes L, Gudmundsdottir V, Guo X, Harris SE, Huang Z, Kals M, Kho M, Lefevre C, Luan J, Lyytikäinen LP, Mangino M, Milaneschi Y, Palmer ND, Rao V, Rauramaa R, Shen B, Stadler S, Sun Q, Tang J, Thériault S, van der Graaf A, van der Most PJ, Wang Y, Weiss S, Westerman KE, Yang Q, Yasuharu T, Zhao W, Zhu W, Altschul D, Ansari MAY, Anugu P, Argoty-Pantoja AD, Arzt M, Aschard H, Attia JR, Bazzanno L, Breyer MA, Brody JA, Cade BE, Chen HH, Chen YDI, Chen Z, de Vries PS, Dimitrov LM, Do A, Du J, Dupont CT, Edwards TL, Evans MK, Faquih T, Felix SB, Fisher-Hoch SP, Floyd JS, Graff M, Gu C, Gu D, Hairston KG, Hanley AJ, Heid IM, Heikkinen S, Highland HM, Hood MM, Kähönen M, Karvonen-Gutierrez CA, Kawaguchi T, Kazuya S, Kelly TN, Komulainen P, Levy D, Lin HJ, Liu PY, Marques-Vidal P, McCormick JB, Mei H, Meigs JB, Menni C, Nam K, Nolte IM, Pacheco NL, Petty LE, Polikowsky HG, Province MA, Psaty BM, Raffield LM, Raitakari OT, Rich SS, et alNagarajan P, Winkler TW, Bentley AR, Miller CL, Kraja AT, Schwander K, Lee S, Wang W, Brown MR, Morrison JL, Giri A, O'Connell JR, Bartz TM, de Las Fuentes L, Gudmundsdottir V, Guo X, Harris SE, Huang Z, Kals M, Kho M, Lefevre C, Luan J, Lyytikäinen LP, Mangino M, Milaneschi Y, Palmer ND, Rao V, Rauramaa R, Shen B, Stadler S, Sun Q, Tang J, Thériault S, van der Graaf A, van der Most PJ, Wang Y, Weiss S, Westerman KE, Yang Q, Yasuharu T, Zhao W, Zhu W, Altschul D, Ansari MAY, Anugu P, Argoty-Pantoja AD, Arzt M, Aschard H, Attia JR, Bazzanno L, Breyer MA, Brody JA, Cade BE, Chen HH, Chen YDI, Chen Z, de Vries PS, Dimitrov LM, Do A, Du J, Dupont CT, Edwards TL, Evans MK, Faquih T, Felix SB, Fisher-Hoch SP, Floyd JS, Graff M, Gu C, Gu D, Hairston KG, Hanley AJ, Heid IM, Heikkinen S, Highland HM, Hood MM, Kähönen M, Karvonen-Gutierrez CA, Kawaguchi T, Kazuya S, Kelly TN, Komulainen P, Levy D, Lin HJ, Liu PY, Marques-Vidal P, McCormick JB, Mei H, Meigs JB, Menni C, Nam K, Nolte IM, Pacheco NL, Petty LE, Polikowsky HG, Province MA, Psaty BM, Raffield LM, Raitakari OT, Rich SS, Riha RL, Risch L, Risch M, Ruiz-Narvaez EA, Scott RJ, Sitlani CM, Smith JA, Sofer T, Teder-Laving M, Völker U, Vollenweider P, Wang G, Willems van Dijk K, Wilson OD, Xia R, Yao J, Young KL, Zhang R, Zhu X, Below JE, Böger CA, Conen D, Cox SR, Dörr M, Feitosa MF, Fox ER, Franceschini N, Gharib SA, Gudnason V, Harlow SD, He J, Holliday EG, Kutalik Z, Lakka TA, Lawlor DA, Lee S, Lehtimäki T, Li C, Liu CT, Mägi R, Matsuda F, Morrison AC, Penninx BW, Peyser PA, Rotter JI, Snieder H, Spector TD, Wagenknecht LE, Wareham NJ, Zonderman AB, North KE, Fornage M, Hung AM, Manning AK, Gauderman J, Chen H, Munroe PB, Rao DC, van Heemst D, Redline S, Noordam R, Wang H. A large-scale genome-wide study of gene-sleep duration interactions for blood pressure in 811,405 individuals from diverse populations. Mol Psychiatry 2025:10.1038/s41380-025-02954-w. [PMID: 40181193 DOI: 10.1038/s41380-025-02954-w] [Show More Authors] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 03/11/2025] [Indexed: 04/05/2025]
Abstract
Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discovered 22 novel gene-sleep duration interaction loci for blood pressure, mapped to 23 genes. Investigating these genes' functional implications shed light on neurological, thyroidal, bone metabolism, and hematopoietic pathways that necessitate future investigation for blood pressure management that caters to sleep health lifestyle. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausible nature of distinct influences of both sleep duration extremes in cardiovascular health. Several of our loci are specific towards a particular population background or sex, emphasizing the importance of addressing heterogeneity entangled in gene-environment interactions, when considering precision medicine design approaches for blood pressure management.
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Affiliation(s)
- Pavithra Nagarajan
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, US National Institutes of Health, Bethesda, MD, USA
| | - Clint L Miller
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA
| | - Aldi T Kraja
- University of Mississippi Medical Center, Jackson, MS, USA
| | - Karen Schwander
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Songmi Lee
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Wenyi Wang
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - John L Morrison
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Ayush Giri
- Division of Quantitative and Clinical Sciences, Department of Obstetrics & Gynecology, Vanderbilt University Medical Center, Nashville, TN, USA
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs, Nashville, TN, USA
| | - Jeffrey R O'Connell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Lisa de Las Fuentes
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Valborg Gudmundsdottir
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, Department of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Sarah E Harris
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Zhijie Huang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Mart Kals
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Minjung Kho
- Graduate School of Data Science, Seoul National University, Seoul, South Korea
| | - Christophe Lefevre
- Department of Data Sciences, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Massimo Mangino
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
- National Heart & Lung Institute, Cardiovascular Genomics and Precision Medicine, Imperial College London, London, UK
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam UMC/Vrije universiteit, Amsterdam, Netherlands
- GGZ inGeest, Amsterdam, Netherlands
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Varun Rao
- Division of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, IL, USA
| | - Rainer Rauramaa
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Botong Shen
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Stefan Stadler
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| | - Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jingxian Tang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Sébastien Thériault
- Department of Molecular Biology, Medical Biochemistry and Pathology, Université Laval, Quebec City, QC, Canada
| | - Adriaan van der Graaf
- Statistical Genetics Group, Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Yujie Wang
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stefan Weiss
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Kenneth E Westerman
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
| | - Qian Yang
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tabara Yasuharu
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Wei Zhao
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Wanying Zhu
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Drew Altschul
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
- School of Psychology, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Md Abu Yusuf Ansari
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Pramod Anugu
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, USA
| | - Anna D Argoty-Pantoja
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Michael Arzt
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| | - Hugues Aschard
- Department of Computational Biology, F-75015 Paris, France Institut Pasteur, Université Paris Cité, Paris, France
- Department of Epidemiology, Harvard TH School of Public Health, Boston, MA, USA
| | - John R Attia
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia
| | - Lydia Bazzanno
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Max A Breyer
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Hung-Hsin Chen
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Zekai Chen
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Latchezar M Dimitrov
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Anh Do
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Jiawen Du
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Charles T Dupont
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Todd L Edwards
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs, Nashville, TN, USA
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Tariq Faquih
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Stephan B Felix
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Susan P Fisher-Hoch
- School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Brownsville, TX, USA
| | - James S Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Mariaelisa Graff
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Charles Gu
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Dongfeng Gu
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Kristen G Hairston
- Department of Endocrinology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Anthony J Hanley
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Iris M Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Sami Heikkinen
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Heather M Highland
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michelle M Hood
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Mika Kähönen
- Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
| | | | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Setoh Kazuya
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Tanika N Kelly
- Division of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, IL, USA
| | | | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Henry J Lin
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Peter Y Liu
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Joseph B McCormick
- School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Brownsville, TX, USA
| | - Hao Mei
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Cristina Menni
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
| | - Kisung Nam
- Graduate School of Data Science, Seoul National University, Seoul, South Korea
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Natasha L Pacheco
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Lauren E Petty
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hannah G Polikowsky
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, and Department of Clinical Physiology and Nuclear Medicine, University of Turku, and Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Stephen S Rich
- Department of Genome Sciences, University of Virginia, Charlottesville, VA, USA
| | - Renata L Riha
- Department of Sleep Medicine, The University of Edinburgh, Edinburgh, UK
| | - Lorenz Risch
- Faculty of Medical Sciences, Institute for Laboratory Medicine, Private University in the Principality of Liechtenstein, Vaduz, Liechtenstein
- Center of Laboratory Medicine, Institute of Clinical Chemistry, University of Bern and Inselspital, Bern, Switzerland
| | - Martin Risch
- Central Laboratory, Cantonal Hospital Graubünden, Chur, Switzerland
- Medical Laboratory, Dr. Risch Anstalt, Vaduz, Liechtenstein
| | | | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jennifer A Smith
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- CardioVascular Institute (CVI), Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Maris Teder-Laving
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Uwe Völker
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Guanchao Wang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
- Department of Internal Medicine, Division of Endocrinology, Leiden, Netherlands
| | - Otis D Wilson
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs, Nashville, TN, USA
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rui Xia
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kristin L Young
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ruiyuan Zhang
- Department of Epidemiology, O'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Jennifer E Below
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Carsten A Böger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
- Department of Nephrology and Rheumatology, Kliniken Südostbayern, Traunstein, Germany
- KfH Kidney Centre Traunstein, Traunstein, Germany
| | - David Conen
- Population Health Research Institute, Medicine, McMaster University, Hamilton, ON, Canada
| | - Simon R Cox
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Marcus Dörr
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Ervin R Fox
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Nora Franceschini
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sina A Gharib
- Pulmonary, Critical Care and Sleep Medicine, Medicine, University of Washington, Seattle, WA, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, Department of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Sioban D Harlow
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jiang He
- Department of Epidemiology, O'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Elizabeth G Holliday
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia
| | - Zoltan Kutalik
- Statistical Genetics Group, Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
| | - Timo A Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Seunggeun Lee
- Graduate School of Data Science, Seoul National University, Seoul, South Korea
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Changwei Li
- Department of Epidemiology, O'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Brenda Wjh Penninx
- Department of Psychiatry, Amsterdam UMC/Vrije universiteit, Amsterdam, Netherlands
- GGZ inGeest, Amsterdam, Netherlands
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Tim D Spector
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
| | - Lynne E Wagenknecht
- Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | | | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Kari E North
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Adriana M Hung
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs, Nashville, TN, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Alisa K Manning
- Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Metabolism Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Patricia B Munroe
- Clinical Pharmacology and Precision Medicine, Queen Mary University of London, London, UK
| | - Dabeeru C Rao
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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5
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Royant-Parola S, Poirot I, Geoffroy PA. Impact of insomnia: Cultural and societal aspects from a European survey. L'ENCEPHALE 2025:S0013-7006(25)00037-5. [PMID: 40090828 DOI: 10.1016/j.encep.2025.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Revised: 12/18/2024] [Accepted: 01/14/2025] [Indexed: 03/18/2025]
Abstract
OBJECTIVES This European study explored the cultural and societal aspects of chronic insomnia by means of a survey undertaken in France, Germany, Italy, Spain, and the United Kingdom. The primary objectives were to understand the impact of insomnia on the daily lives of patients, both personally and professionally, and to evaluate the patients' perceptions and coping strategies thus identifying cultural differences in the management of this disorder. METHODS Based on online panels targeting insomnia sufferers, the survey included 755 patients aged 35 to 65 years with moderate to severe insomnia for at least three months, occurring at least three times per week (DSM-5 criteria for insomnia disorder, ISI score 15-28). Topics covered included the impact of insomnia on daily life, strategies for coping and managing insomnia, and patients' perceptions and views of insomnia. RESULTS A total of 755 patients completed the questionnaire. Most respondents were women (70%) and between 35 and 49 years of age (50%). About half of the patients (49%) had severe insomnia, with 49% experiencing it for over three years. Nearly 70% did not initially consider their insomnia serious, and 73% believed their condition would improve over time. Stress (39%), difficulty relaxing in the evening (37%), and a rapid flow of thoughts (37%) were identified as the main causes of insomnia. Insomnia was shown to significantly affect daily life, particularly work performance, relationships, and maintaining healthy habits. British patients were the most affected, with 85% reporting decreased work performance. In France, only 51% reported difficulties maintaining relationships. There were 77% of Britons who felt exposed to dangerous situations, such as drowsiness while driving (47%). Coping strategies varied by country but, overall, breathing exercises (43%), meditation (32%), and reducing caffeine intake (44%) were the most popular. Healthcare consultation approaches also varied. French patients consulted general practitioners (89%) but rarely specialists, while Germans consulted sleep specialists (20%) and psychiatrists (19%). Overall, 61% reported that doctors recommended lifestyle changes. CONCLUSIONS The survey highlights cultural differences in insomnia perception and management in Europe. Insomnia is often trivialized, thus delaying management. The results underline the need to raise awareness among patients and healthcare professionals of the importance of insomnia and its consequences on mental and physical health. Addressing chronic insomnia requires a multifaceted approach that includes cultural sensitivity, patient education, and proactive healthcare engagement. By understanding and integrating these elements, healthcare providers can better support patients to manage their condition, ultimately improving their quality of life.
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Affiliation(s)
| | - Isabelle Poirot
- Service de psychiatrie adulte, pôle de psychiatrie, médecine légale et médecine en milieu pénitentiaire, CHU de Lille, unité de sommeil, 59037 Lille, France
| | - Pierre A Geoffroy
- Département de psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, 75018 Paris, France; Centre ChronoS, GHU Paris - Psychiatry & Neurosciences, 1, rue Cabanis, 75014 Paris, France; Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
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6
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Luo Y, Li Q, Feng T, Meng S, Duan R. Association between weekend catch-up sleep and hypertension of the United States population from 2017 to 2020: a cross-sectional study. Front Psychiatry 2025; 15:1488487. [PMID: 39968409 PMCID: PMC11833448 DOI: 10.3389/fpsyt.2024.1488487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Accepted: 11/13/2024] [Indexed: 02/20/2025] Open
Abstract
Background Hypertension is a prevalent cardiovascular risk factor that significantly contributes to morbidity and mortality worldwide. Previous studies have highlighted the role of inadequate sleep during weekdays in the development of hypertension. However, the potential mitigative effects of weekend catch-up sleep (WCS) on hypertension have been less explored. Methods This cross-sectional study analyzed data from the National Health and Nutrition Examination Survey (NHANES) 2017-2020, focusing on American adults. We assessed the association between WCS (defined as the difference in sleep duration between weekend and weekday) and the presence of hypertension. Participants were classified into two groups based on their WCS duration: none (below 1 hours), yes (over 1 hours). Multivariable logistic regression models adjusted for potential confounders such as age, gender, Body mass index (BMI), and lifestyle factors were utilized to explore this association. A Generalized Additive Model (GAM) was employed to generate smooth curves for a nuanced analysis of the nonlinear relationship. Results The findings indicated that moderate WCS (less than 4 hours) was significantly associated with a reduced risk of hypertension, while excessive WCS (greater than 4 hours) showed no significant protective benefits. Conclusion Moderate weekend catch-up sleep could serve as an effective intervention to mitigate hypertension risk, especially in populations with restricted weekday sleep. These results suggest the potential for integrating sleep management strategies into public health recommendations to address hypertension. Future longitudinal studies are needed to confirm these findings and clarify the mechanisms underlying the relationship between WCS and hypertension risk.
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Affiliation(s)
- Yan Luo
- Respiratory Department, Chengdu Xindu District Second People’s Hospital, Chengdu, China
| | - Qingyuan Li
- School of Clinical Medicine, Chengdu Medical College, Chengdu, Sichuan, China
- Respiratory and Critical Care Department, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Tong Feng
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Shasha Meng
- School of Clinical Medicine, Chengdu Medical College, Chengdu, Sichuan, China
- Nephrology Department, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Ran Duan
- School of Clinical Medicine, Chengdu Medical College, Chengdu, Sichuan, China
- Onology Department, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
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7
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Aremu OG, Asowata OJ, Danladi DK, Okekunle AP, Akpa OM. Sleep quality and hypertension in an indigenous African population: a cross-sectional investigation from the COMBAT-CVDs study. J Hum Hypertens 2025; 39:164-170. [PMID: 39496745 DOI: 10.1038/s41371-024-00971-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 10/16/2024] [Accepted: 10/17/2024] [Indexed: 11/06/2024]
Abstract
Hypertension is a major risk factor for cardiovascular events worldwide, and little is known about its association with sleep quality (SQ) among Africans. We evaluated the association of SQ with hypertension among adults in Ibadan, Nigeria. In Ibadan and its suburbs, we identified 3635 participants in the door-to-door Community-based Investigation of the Risk Factors for Cardiovascular Diseases (COMBAT-CVDs) study. SQ was self-reported, and SQ scores were classified by the tertile distribution in this sample as good (<9), moderate (10-18), and poor (≥19), and hypertension was defined as one of the following conditions: systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg or prior diagnosis by a certified health professional or current use of blood pressure-lowering drugs. Using good SQ as a reference, logistic regression models were used to estimate the multivariable-adjusted odds ratio and 95% confidence interval (CI) for odds of hypertension by tertiles of SQ scores in a two-sided test at p < 0.05. In all, 1182 (32.5%) had poor SQ, 903 (24.8%) had hypertension, and the mean(±SD) age was 35.3 ± 15.2 years in this sample. The multivariable-adjusted odds of hypertension by tertiles of SQ scores (using good SQ as reference) were OR: 1.13 (95% CI: 0.92, 1.38) for moderate SQ, and OR: 1.29 (95% CI: 1.05, 1.59) for poor SQ; P for trend = 0.06 after adjusting for relevant covariates. Poor SQ is associated with higher odds of hypertension in this sample. The imperative of culturally sensitive interventions to improve SQ would be promising in managing poor sleep-associated hypertension burden in this population.
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Affiliation(s)
| | - Osahon Jeffery Asowata
- Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - David Kadan Danladi
- Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Akinkunmi Paul Okekunle
- Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
- Research Institute of Human Ecology, Seoul National University, Seoul, Republic of Korea.
| | - Onoja Matthew Akpa
- Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
- Division of Epidemiology, Biostatistics and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA.
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8
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Yu B, Yin J, Yu P, Fan Y, Yang J, Fu Y, Wang S, Yang T, Ma B, Ding X, Yang S. Unveiling relationships of human instinctive behaviors and blood pressure in Chinese adults: A network analysis. Public Health 2025; 238:289-297. [PMID: 39708710 DOI: 10.1016/j.puhe.2024.12.020] [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: 08/16/2024] [Revised: 11/15/2024] [Accepted: 12/09/2024] [Indexed: 12/23/2024]
Abstract
OBJECTIVES Human behaviors and blood pressure (BP) are closely intertwined, affecting health. However, few studies have demonstrated their complex relationships. Using network analysis, we aimed to untangle the intricate and potential causal relationships between BP and human instinctive behaviors, identifying potential action points for hypertension prevention and control. STUDY DESIGN Cohort study. METHODS This study is based on two-wave data from 11,277 Chinese adults in the China Multi-Ethnic Cohort (CMEC) and an independent validation cohort of 21,947 adults from the Chinese Cohort of Working Adults (CCWA). We conducted a cross-sectional network analysis to estimate the interrelationships between measured BP and self-reported physical activity (PA), diet, and sleep. The centrality of each variable within the network was estimated using strength centrality index. Additionally, we performed a longitudinal network analysis to infer the potential causal relationships between BP and human instinctive behaviors in participants with normal or above-normal BP. RESULTS The network models suggested that BP exhibited negative associations with the dietary score (edge weight: -0.09) and sleep duration (-0.05). Non-sedentary behavior and dietary score were the most central variables, strongly connecting BP and other lifestyles. Higher BP predicted a poorer dietary score (β = -0.21) in participants with above-normal BP. The effect of BP on dietary score was replicated in the validation cohort and validated by linear regression analysis. CONCLUSIONS Non-sedentary behaviors and dietary behaviors may be the potential action points in promoting healthy behaviors and contributing to BP management. It is essential to manage individuals' BP status, non-sedentary behaviors, and dietary behaviors to disrupt malignant cycles.
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Affiliation(s)
- Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jianzhong Yin
- School of Public Health, Kunming Medical University, Kunming, Yunnan, China; Baoshan College of Traditional Chinese Medicine, Baoshan, Yunnan, China
| | - Peng Yu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yunzhe Fan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiqi Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yao Fu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Sihan Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Tingting Yang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Bangjing Ma
- Qingbaijiang District Center for Disease Control and Prevention, Chengdu, China
| | - Xianbin Ding
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Shujuan Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; Respiratory Department, Chengdu Seventh People's Hospital, Chengdu, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China.
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9
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Kim JM, Bae YJ. Association of the Korean Healthy Eating Index and sleep duration with prediabetes in middle-aged adults. Nutr Res Pract 2024; 18:857-871. [PMID: 39651327 PMCID: PMC11621439 DOI: 10.4162/nrp.2024.18.6.857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 09/09/2024] [Accepted: 09/12/2024] [Indexed: 12/11/2024] Open
Abstract
BACKGROUND/OBJECTIVES Sleep duration and diet quality are reportedly associated with the risk of diabetes. This study aimed to examine the risk of diabetes according to sleep duration and diet quality in middle-aged Koreans. SUBJECTS/METHODS Using the Korea National Health and Nutrition Examination Survey 2019-2020, raw data from 2,934 participants aged 40-64 yrs (1,090 men and 1,844 women) who were not diagnosed with type 2 diabetes were analyzed. With a sleep duration of 7-7.9 h per night as the referent category, diet quality was assessed using the Korean Healthy Eating Index (KHEI), which comprises adequacy, moderation, and energy balance. RESULTS The study results showed that individuals with a short sleep duration had significantly higher blood glucose (P = 0.034) and HbA1c levels (P < 0.001) than those had by individuals with a sleep duration of 7-7.9 h. Within the group with a sleep duration of 7-7.9 h, the lowest quintile of the KHEI score had a significantly higher risk of prediabetes than that had by the highest quintile of the KHEI score (Model 1: odds ratio [OR], 1.775; 95% confidence interval [CI], 1.072-2.939; P < 0.05 and Model 2: OR, 1.731; 95% CI, 1.040-2.882; P < 0.05). CONCLUSION Our findings suggest that achieving the sleep duration of 7-7.9 h and eating good diet are associated with the lowest risk of prediabetes. We recommend that the results of this study be used to educate adults aged 40-64 yrs on diet and lifestyle habits to prevent diabetes.
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Affiliation(s)
- Ji-Myung Kim
- Department of Food and Nutritional Science, Shinhan University, Uijeongbu 11644, Korea
| | - Yun-Jung Bae
- Major in Food and Nutrition, Division of Food Science and Biotechnology, Korea National University of Transportation, Jeungpyeong 27909, Korea
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10
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Li X, Jin Y, Bandinelli S, Ferrucci L, Tanaka T, Talegawkar SA. Cardiovascular health, measured using Life's Essential 8, is associated with reduced dementia risk among older men and women. J Am Geriatr Soc 2024; 72:3695-3704. [PMID: 39291619 DOI: 10.1111/jgs.19194] [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: 02/28/2024] [Revised: 08/20/2024] [Accepted: 08/25/2024] [Indexed: 09/19/2024]
Abstract
BACKGROUND Dementia poses considerable challenges to healthy aging. Prevention and management of dementia are essential given the lack of effective treatments for this condition. METHODS A secondary data analysis was conducted using data from 928 InCHIANTI study participants (55% female) aged 65 years and older without dementia at baseline. Cardiovascular health (CVH) was assessed by the "Life's Essential 8" (LE8) metric that included health behaviors (diet, physical activity, smoking status, sleep duration) and health factors (body mass index, blood lipid, blood glucose, blood pressure). This new LE8 metric scores from 0 to 100, with categorization including "low LE8" (0-49), indicating low CVH, "moderate LE8 (50-79)", indicating moderate CVH, and "high LE8 (80-100)", indicating high CVH. Dementia was ascertained by a combination of neuropsychological testing and clinical assessment at each follow-up visit. Cox proportional hazards models were used to examine associations between CVH at baseline and risk of incident dementia after a median follow-up of 14 years. RESULTS Better CVH (moderate/high LE8 vs. low LE8) was inversely associated with the risk of incident dementia (hazard ratio [HR]: 0.61, 95% confidence interval [CI]: 0.46-0.83, p = 0.001). Compared with health factors, higher scores of the health behaviors (per 1 standard deviation [SD]), specifically weekly moderate-to-vigorous physical activity time (per 1 SD), were significantly associated with a lower risk of incident dementia (health behaviors: HR:0.84, CI:0.73-0.96, p = 0.01; physical activity: HR: 0.62, CI: 0.53-0.72, p < 0.001). CONCLUSION While longitudinal studies with repeated measures of CVH are needed to confirm these findings, improving CVH, measured by the LE8 metric, may be a promising dementia prevention strategy.
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Affiliation(s)
- Xin Li
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Yichen Jin
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | | | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA
| | - Sameera A Talegawkar
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
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11
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Cheng Z, Zeng Q, Zhu C, Yang G, Zhong L. Association between joint physical activity and sleep duration and hypertension in US adults: Cross-sectional NHANES study. Sleep Health 2024; 10:628-634. [PMID: 39406629 DOI: 10.1016/j.sleh.2024.08.005] [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: 05/02/2024] [Revised: 08/06/2024] [Accepted: 08/12/2024] [Indexed: 12/08/2024]
Abstract
BACKGROUND Previous studies have adequately demonstrated that physical activity or healthy sleep duration can reduce the risk of hypertension. However, the combined effects of physical activity and healthy sleep on hypertension have not been well explored in studies using nationally representative samples. METHODS The data were obtained from the National Health and Nutrition Examination Survey (2007-2018). Sleep duration and physical activity were obtained from self-reported questionnaires. Survey logistic regression and restricted cubic spline curves were used to evaluate the joint effects of physical activity and healthy sleep duration on hypertension. RESULTS A total of 18,007 participants were enrolled in the main study. Physical activity was categorized into insufficient physical activity (600 < Met-min/week) and sufficient physical activity (≥600 Met-min/week). Sleep duration of ≤6 or ≥9 hours was defined as unhealthy sleep duration, and 7-8 hours was defined as healthy sleep duration. Compared to the individuals with unhealthy sleep duration and insufficient physical activity, only the participants with healthy sleep duration and sufficient physical activity (adjusted odds ratio: 0.76, 95% CI 0.66-0.88) were negatively associated with hypertension, while the participants with healthy sleep duration but insufficient physical activity or sufficient physical activity but unhealthy sleep duration were not associated with hypertension. Physical activity was nonlinearly associated with hypertension in the healthy sleep duration group, whereas in the unhealthy sleep duration group, physical activity was not associated with hypertension. CONCLUSION Our findings indicate that sufficient physical activity and healthy sleep duration were negatively associated with hypertension. This underscores the importance of integrating both sufficient physical activity and healthy sleep duration in strategies aimed at reducing hypertension risk.
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Affiliation(s)
- Zhendong Cheng
- Department of Cardiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Qingfeng Zeng
- Department of Cardiology, Ganzhou Hospital of Traditional Chinese Medicine, Ganzhou, Jiangxi, China
| | - Changdong Zhu
- Geriatrics Department, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital, Ganzhou, Jiangxi, China
| | - Guiying Yang
- Department of Cardiology, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital, Ganzhou, Jiangxi, China
| | - Linling Zhong
- Department of Cardiology, Ganzhou People's Hospital (Ganzhou Hospital-Nanfang Hospital, Southern Medical University), Ganzhou, Jiangxi, China.
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Yiallourou S, Baril A, Wiedner C, Song X, Bernal R, Himali D, Cavuoto MG, DeCarli C, Beiser A, Seshadri S, Himali JJ, Pase MP. Short Sleep Duration and Hypertension: A Double Hit for the Brain. J Am Heart Assoc 2024; 13:e035132. [PMID: 39450742 PMCID: PMC11935671 DOI: 10.1161/jaha.124.035132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 09/12/2024] [Indexed: 10/26/2024]
Abstract
BACKGROUND Short sleep duration has been associated with an increased risk of cognitive impairment and dementia. Short sleep is associated with elevated blood pressure, yet the combined insult of short sleep and hypertension on brain health remains unclear. We assessed whether the association of sleep duration with cognition and vascular brain injury was moderated by hypertensive status. METHODS AND RESULTS A total of 682 dementia-free participants (mean age, 62±9 years; 53% women) from the Framingham Heart Study completed assessments of cognition, office blood pressure, and self-reported habitual and polysomnography-derived sleep duration; 637 underwent brain magnetic resonance imaging. Linear regressions were performed to assess effect modification by hypertensive status on total sleep time (coded in hours) and cognitive and magnetic resonance imaging outcomes. There was a significant interaction between sleep duration and hypertensive status when predicting executive function/processing speed (Trail Making B-A) and white matter hyperintensities. When results were stratified by hypertensive status, longer sleep duration was associated with better executive functioning/processing speed scores in the hypertensive group (meaning that shorter sleep duration was associated with poorer executive function/processing speed scores) (self-report sleep: β=0.041 [95% CI, 0.012-0.069], P=0.005; polysomnography sleep: β=0.045 [95% CI, 0.002-0.087], P=0.038), but no association was observed for the normotensive group. Similarly, shorter subjective sleep duration was associated with higher white matter hyperintensity burden in the hypertensive group (β=-0.115 [95% CI, -0.227 to -0.004], P=0.042), but not in the normotensive group. CONCLUSIONS In individuals with hypertension, shorter sleep duration was associated with worse cognitive performance and greater brain injury.
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Affiliation(s)
- Stephanie Yiallourou
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash UniversityClaytonVICAustralia
| | - Andree‐Ann Baril
- Framingham Heart StudyFraminghamMAUSA
- Center for Advanced Research in Sleep MedicineHôpital du Sacré‐Coeur de Montréal, CIUSSS‐NIM, Montreal, QC, Canada, Department of Medicine, Faculty of Medicine, Université de MontréalMontréalQCCanada
- Department of MedicineFaculty of Medicine, Université de MontréalMontréalQCCanada
| | - Crystal Wiedner
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUniversity of Texas Health San AntonioSan AntonioTXUSA
| | - Xuemei Song
- Department of Population Health SciencesUniversity of Texas Health Science CenterSan AntonioTXUSA
| | - Rebecca Bernal
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUniversity of Texas Health San AntonioSan AntonioTXUSA
| | - Dibya Himali
- Framingham Heart StudyFraminghamMAUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
| | - Marina G. Cavuoto
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash UniversityClaytonVICAustralia
- National Aging Research Institute (NARI)ParkvilleAustralia
| | | | - Alexa Beiser
- Framingham Heart StudyFraminghamMAUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
| | - Sudha Seshadri
- Framingham Heart StudyFraminghamMAUSA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUniversity of Texas Health San AntonioSan AntonioTXUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
| | - Jayandra J. Himali
- Framingham Heart StudyFraminghamMAUSA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUniversity of Texas Health San AntonioSan AntonioTXUSA
- Department of Population Health SciencesUniversity of Texas Health Science CenterSan AntonioTXUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
| | - Matthew P. Pase
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash UniversityClaytonVICAustralia
- Framingham Heart StudyFraminghamMAUSA
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13
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Carpio-Rivera E, Moncada-Jiménez J, Salicetti-Fonseca A, Solera-Herrera A. Inter-Individual Responses to Acute Resistance Training in the Blood Pressure Dipping Response in Normotensive and Hypertensive Men. INTERNATIONAL JOURNAL OF EXERCISE SCIENCE 2024; 17:1361-1376. [PMID: 39574809 PMCID: PMC11581384 DOI: 10.70252/psun4213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/15/2025]
Abstract
The blood pressure dipping response to acute resistance training exercise (RTE) is scarce in the literature. We determined the inter-individual blood pressure (BP) dipping variability of normotensive (NT) and hypertensive (HT) men completing two modalities of a single session of RTE. Volunteers (NT n = 21, HT n = 20) underwent a non-exercise control (CTRL), RTE high-sets low-repetitions (HSLR), and RTE high-repetitions low-sets (HRLS) conditions. Twenty-four-hour ambulatory BP monitoring recorded diurnal and nocturnal systolic (SBP) and diastolic (DBP) BP. Non-significant interactions were found between the category of individuals and the experimental conditions on the SBP (p = 0.511, η2 p = 0.02) and DBP (p = 0.807, η2 p = 0.01) differences. Diurnal SBP (p = 0.0001) and DBP (p ≤ 0.0001) were lower in the NT than in the HT groups. Nocturnal SBP (p ≤ 0.0001) and DBP (p = 0.014) were lower in the NT than in the HT groups. The percentage of dipping responders for SBP in the CTRL condition were 71.4% for NT and 70.0% for HT, in the HRLS condition were 66.7% for NT and 60.0% for HT, and in the HSLR condition were 57.1% for NT and 60.0% for HT. The dipping responders for DBP in the CTRL condition were 57.1% for NT and 60.0% for HT, in the HRLS condition were 61.9% for NT and 70.0% for HT, and in the HSLR condition were 71.4% for NT and 65.0% for HT (p > 0.05 for all). In conclusion, the dipping response was similar between NT and HT individuals. The proportion of responders was similar between NT and HT individuals completing acute RTE.
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Affiliation(s)
| | - José Moncada-Jiménez
- School of Physical Education and Sports, University of Costa Rica, San José, COSTA RICA
- Human Movement Sciences Research Center (CIMOHU), University of Costa Rica, San José, COSTA RICA
| | | | - Andrea Solera-Herrera
- School of Physical Education and Sports, University of Costa Rica, San José, COSTA RICA
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Strilciuc Ş, Chira D, Verișezan-Roșu O, Man-Kesselheim O, Stan O, Mureșanu FD. Sleep Health Patterns in Romania: Insights from a Nationwide Cross-Sectional Online Survey. Brain Sci 2024; 14:1086. [PMID: 39595848 PMCID: PMC11592081 DOI: 10.3390/brainsci14111086] [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: 09/12/2024] [Revised: 10/25/2024] [Accepted: 10/28/2024] [Indexed: 11/28/2024] Open
Abstract
BACKGROUND Sleep is one of the most essential processes for sustaining cognitive, emotional, and physical health across all age groups. Insomnia or inadequate sleep significantly impacts health and poses economic burdens due to increased healthcare costs and reduced productivity. OBJECTIVES AND METHODS This study aimed to investigate sleep quality in the Romanian active population using an online survey incorporating the Pittsburgh Sleep Quality Index (PSQI). Conducted over four months in 2023, the survey gathered 2243 complete responses from urban and rural residents over the age of 18. RESULTS The results highlight gender and urban-rural disparities in sleep quality, revealing that females and urban residents experienced poorer sleep compared to their counterparts. Additionally, sleep quality was found to significantly worsen with age, with elders (56+ years) reporting the highest PSQI scores, indicating greater sleep difficulties compared to middle-aged adults and youngsters. A high prevalence of sleep disturbances, daytime dysfunctions, and sleep medication use was reported. Common pre-sleep activities included using electronic devices and watching TV, while fewer participants engaged in reading books or consuming alcohol and caffeine. Additionally, participants' bedding preferences were documented. CONCLUSIONS Our study highlights the influence of various factors on sleep quality and emphasizes the need for targeted public health interventions to improve sleep health in Romania.
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Affiliation(s)
- Ştefan Strilciuc
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Haţieganu University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania
- RoNeuro Institute for Neurological Research and Diagnostics, 400364 Cluj-Napoca, Romania; (O.V.-R.); (O.S.); (F.D.M.)
| | - Diana Chira
- RoNeuro Institute for Neurological Research and Diagnostics, 400364 Cluj-Napoca, Romania; (O.V.-R.); (O.S.); (F.D.M.)
- Department of Neuroscience, Iuliu Haţieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Olivia Verișezan-Roșu
- RoNeuro Institute for Neurological Research and Diagnostics, 400364 Cluj-Napoca, Romania; (O.V.-R.); (O.S.); (F.D.M.)
- Department of Neuroscience, Iuliu Haţieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | | | - Oana Stan
- RoNeuro Institute for Neurological Research and Diagnostics, 400364 Cluj-Napoca, Romania; (O.V.-R.); (O.S.); (F.D.M.)
| | - Fior Dafin Mureșanu
- RoNeuro Institute for Neurological Research and Diagnostics, 400364 Cluj-Napoca, Romania; (O.V.-R.); (O.S.); (F.D.M.)
- Department of Neuroscience, Iuliu Haţieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
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Park JA, Yoon JE, Liu X, Chang Y, Maiolino G, Pengo MF, Lin GM, Kwon Y. Cardiovascular Implications of Sleep Disorders Beyond Sleep Apnea. CURRENT SLEEP MEDICINE REPORTS 2024; 10:320-328. [PMID: 39281064 PMCID: PMC11391919 DOI: 10.1007/s40675-024-00302-y] [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] [Accepted: 04/30/2024] [Indexed: 09/18/2024]
Abstract
PURPOSE OF REVIEW Sleep is crucial for human health and life. There is still limited attention to the association between sleep disorders beyond sleep apnea and cardiovascular (CV) health. We investigated the current evidence between non-respiratory sleep disorders and CV health. RECENT FINDINGS Current evidence suggests an important association between sleep duration, circadian rhythm, insomnia, disorders of hypersomnolence and CV health. Sleep-related movement disorders exhibit a moderate association with CV health. Further research is needed to explore the effects of each sleep disorder on CV health. SUMMARY Given the close association between non-respiratory sleep disorders and CV health, it is crucial to recognize and address sleep disorders in patients with a high CV risk.
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Affiliation(s)
- Jung-A Park
- Department of Neurology, Daegu Catholic University Medical Center, Daegu, Korea
| | - Jee-Eun Yoon
- Department of Neurology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Xiaoyue Liu
- New York University Rory Meyers College of Nursing, New York, NY, USA
| | - Yoonhee Chang
- Staff Physician, Sleep Medicine, Evergreen Health, Kirkland, WA, USA
| | - Giuseppe Maiolino
- Clinica Medica 3, Department of Medicine - DIMED, University of Padova, Padova, Italy
| | - Martino F Pengo
- Department of Cardiovascular, Neural and Metabolic Sciences, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Gen-Min Lin
- Department of Medicine, Hualien-Armed Forces General Hospital, Hualien, Taiwan
| | - Younghoon Kwon
- Department of Medicine, University of Washington, Seattle, WA, USA
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16
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Okeke F, Ugwuoke UT. Assessing the Relationship Between Sleep Duration and the Prevalence of Chronic Kidney Disease Among Veterans in the United States: A 2022 Behavior Risk Factor Surveillance System (BRFSS) Cross-Sectional Study. Cureus 2024; 16:e68538. [PMID: 39364465 PMCID: PMC11449084 DOI: 10.7759/cureus.68538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/31/2024] [Indexed: 10/05/2024] Open
Abstract
INTRODUCTION Chronic kidney disease (CKD) is more prevalent among veterans in the United States than in the general population. Similarly, veterans also exhibit higher rates of abnormal sleep duration compared to the general population. The aim of this study was to investigate the association between self-reported length of sleep and the prevalence of CKD among veterans in the United States using responses from the 2022 Behavioral Risk Factor Surveillance System (BRFSS). METHODS For this cross-sectional study, a total of 53,211 veterans who responded to the 2022 BRFSS survey were analyzed. Measures include the outcome variable which is self-reported CKD diagnosis and a major independent variable sleep duration. Sleep duration was recategorized into ≤ 5 hours (short sleep duration), 6-10 hours (normal sleep duration), and >10 hours (long sleep duration). Covariates included gender, age, race, residence, insurance, alcohol consumption, diabetes comorbidity, coronary artery disease (CAD) comorbidity, and stroke comorbidity. Descriptive, bivariate, and multivariate logistic regressions were conducted using the SAS software (SAS Institute Inc., Cary, North Carolina, United States). Results: The prevalence of CKD among veterans in the United States is 3332 (6.29%). Veterans with sleep duration of 6-10 hours had 17.5% lower odds of CKD than veterans who slept for ≤5 hours (adjusted OR (AOR)= 0.825, 95%CI= 0.821-0.830; P=<0.0001). Veterans who slept for more than 10 hours had 68.2% higher odds of having CKD (AOR=1.682, 95%CI= 1.662-1.702; P=<0.0001). Additionally, veterans diagnosed with diabetes, stroke, and coronary artery disease had 2.447-2.103, and 2.838, respectively, higher odds of developing CKD (AOR=2.447, 95%CI= 2.435-2.459; p=<0.0001). Veterans who were 65 years and older had higher odds of developing CKD compared to those aged 35-44 years (AOR= 5.743, 95%CI= 5.669-5.818; P<0.001). The odds of having CKD were also higher among veterans who identified as Black (AOR 1.397, 95%CI =1.388-1.405; P<0.01) or as Hispanic (AOR =1.318, 95%CI = 1.307-1.329; P<0.01) compared to non-Hispanic White veterans. Those who identified as Asian had lower odds of CKD (AOR= 0.87, 95%CI=0.853-0.888; P<0.01). Furthermore, veterans who consumed alcohol had 7.8% lower odds of having CKD as compared to individuals who did not consume alcohol (AOR= 0.922, 95%CI =0.918-0.927; p=<0.0001). Male veterans had 24.7% lower odds of having CKD as compared to female veterans (AOR = 0.753, 95%CI= 0.747-0.758; P<0.001). Conclusion: This research provides evidence of a greater prevalence of CKD among veterans with short sleep duration (≤ 5 hours) and long sleep duration (> 10 hours). Sleep hygiene education and sleep optimization programs can improve sleep and boost overall kidney health among veterans.
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Affiliation(s)
- Francis Okeke
- Department of Medical Informatics, The University of Oklahoma Health Sciences Center, Tulsa, USA
| | - Uyonne T Ugwuoke
- Department of Emergency Medicine, North Knoxville Medical Center, Knoxville, USA
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17
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Mao B, Yang Y, Fan Z, Li Y, Xiang W, Dong B, Hu J. Association of a Healthy Lifestyle With Ambulatory 24-Hour Blood Pressure Among Chinese Youths: A Cross-Sectional Study. Am J Hypertens 2024; 37:674-681. [PMID: 38828480 DOI: 10.1093/ajh/hpae074] [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: 03/23/2024] [Revised: 05/16/2024] [Accepted: 05/22/2024] [Indexed: 06/05/2024] Open
Abstract
BACKGROUND This study aims to explore the association between a healthy lifestyle and abnormal ambulatory blood pressure (ABP) in Chinese youths. METHODS A school-based sample of 1,296 college students was investigated. A lifestyle score was calculated by synthesizing 5 lifestyle factors, including smoking, alcohol consumption, diet, physical activity, and sleeping. The total score ranged from 0 to 5, with a higher score indicating a healthier lifestyle. This score was then divided into 3 categories representing low adherence to a healthy lifestyle (0-2), medium adherence (3), and high adherence (4-5). Abnormal 24-hour blood pressure (BP) was defined as systolic BP (SBP) ≥ 130 mm Hg and/or diastolic BP (DBP) ≥ 80 mm Hg. Abnormal daytime BP was determined as daytime SBP ≥ 135 mm Hg and/or DBP ≥ 85 mm Hg, while abnormal nighttime BP was characterized as nighttime SBP ≥ 120 mm Hg and/or DBP ≥ 70 mm Hg. We assessed the associations using the binomial regression model. RESULTS Mean age was 18.81 years, and 74.5% were women. The prevalence of abnormal 24-hour BP, daytime BP, and nighttime BP are 4.2%, 3.7%, and 9.0%, respectively. We found that participants with a high level of adherence to a healthy lifestyle had a significantly lower prevalence of abnormal 24-hour BP [prevalence ratios (PR) = 0.15, 95% CI: 0.05, 0.48] and abnormal daytime BP (PR = 0.16, 95%CI: 0.05, 0.52), when compared to those with a low level of adherence and after adjusting for the potential covariates. CONCLUSIONS A healthier lifestyle is associated with a better ambulatory BP profile among youths.
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Affiliation(s)
- Bin Mao
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha 410081, China
| | - Yide Yang
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha 410081, China
| | - Zehui Fan
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha 410081, China
| | - Yuxian Li
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha 410081, China
| | - Wanyun Xiang
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha 410081, China
| | - Bin Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Jie Hu
- Menzies Health Institute Queensland, Griffith University, Brisbane, Queensland 4111, Australia
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18
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Wang H, Nagarajan P, Winkler T, Bentley A, Miller C, Kraja A, Schwander K, Lee S, Wang W, Brown M, Morrison J, Giri A, O'Connell J, Bartz T, de Las Fuentes L, Gudmundsdottir V, Guo X, Harris S, Huang Z, Kals M, Kho M, Lefevre C, Luan J, Lyytikäinen LP, Mangino M, Milaneschi Y, Palmer N, Rao V, Rauramaa R, Shen B, Stadler S, Sun Q, Tang J, Thériault S, van der Graaf A, van der Most P, Wang Y, Weiss S, Westerman K, Yang Q, Yasuharu T, Zhao W, Zhu W, Altschul D, Ansari MAY, Anugu P, Argoty-Pantoja A, Arzt M, Aschard H, Attia J, Bazzano L, Breyer M, Brody J, Cade B, Chen HH, Chen YDI, Chen Z, de Vries P, Dimitrov L, Do A, Du J, Dupont C, Edwards T, Evans M, Faquih T, Felix S, Fisher-Hoch S, Floyd J, Graff M, Charles Gu C, Gu D, Hairston K, Hanley A, Heid I, Heikkinen S, Highland H, Hood M, Kähönen M, Karvonen-Gutierrez C, Kawaguchi T, Kazuya S, Tanika K, Komulainen P, Levy D, Lin H, Liu P, Marques-Vidal P, McCormick J, Mei H, Meigs J, Menni C, Nam K, Nolte I, Pacheco N, Petty L, Polikowsky H, Province M, Psaty B, Raffield L, Raitakari O, et alWang H, Nagarajan P, Winkler T, Bentley A, Miller C, Kraja A, Schwander K, Lee S, Wang W, Brown M, Morrison J, Giri A, O'Connell J, Bartz T, de Las Fuentes L, Gudmundsdottir V, Guo X, Harris S, Huang Z, Kals M, Kho M, Lefevre C, Luan J, Lyytikäinen LP, Mangino M, Milaneschi Y, Palmer N, Rao V, Rauramaa R, Shen B, Stadler S, Sun Q, Tang J, Thériault S, van der Graaf A, van der Most P, Wang Y, Weiss S, Westerman K, Yang Q, Yasuharu T, Zhao W, Zhu W, Altschul D, Ansari MAY, Anugu P, Argoty-Pantoja A, Arzt M, Aschard H, Attia J, Bazzano L, Breyer M, Brody J, Cade B, Chen HH, Chen YDI, Chen Z, de Vries P, Dimitrov L, Do A, Du J, Dupont C, Edwards T, Evans M, Faquih T, Felix S, Fisher-Hoch S, Floyd J, Graff M, Charles Gu C, Gu D, Hairston K, Hanley A, Heid I, Heikkinen S, Highland H, Hood M, Kähönen M, Karvonen-Gutierrez C, Kawaguchi T, Kazuya S, Tanika K, Komulainen P, Levy D, Lin H, Liu P, Marques-Vidal P, McCormick J, Mei H, Meigs J, Menni C, Nam K, Nolte I, Pacheco N, Petty L, Polikowsky H, Province M, Psaty B, Raffield L, Raitakari O, Rich S, Riha R, Risch L, Risch M, Ruiz-Narvaez E, Scott R, Sitlani C, Smith J, Sofer T, Teder-Laving M, Völker U, Vollenweider P, Wang G, van Dijk KWI, Wilson O, Xia R, Yao J, Young K, Zhang R, Zhu X, Below J, Böger C, Conen D, Cox S, Dörr M, Feitosa M, Fox E, Franceschini N, Gharib S, Gudnason V, Harlow S, He J, Holliday E, Kutalik Z, Lakka T, Lawlor D, Lee S, Lehtimäki T, Li C, Liu CT, Mägi R, Matsuda F, Morrison A, Penninx BWJH, Peyser P, Rotter J, Snieder H, Spector T, Wagenknecht L, Wareham N, Zonderman A, North K, Fornage M, Hung A, Manning A, Gauderman W, Chen H, Munroe P, Rao D, van Heemst D, Redline S, Noordam R. A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. RESEARCH SQUARE 2024:rs.3.rs-4163414. [PMID: 39070651 PMCID: PMC11276021 DOI: 10.21203/rs.3.rs-4163414/v1] [Show More Authors] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to 23 genes. Investigating these genes' functional implications shed light on neurological, thyroidal, bone metabolism, and hematopoietic pathways that necessitate future investigation for blood pressure management that caters to sleep health lifestyle. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausible nature of distinct influences of both sleep duration extremes in cardiovascular health. Several of our loci are specific towards a particular population background or sex, emphasizing the importance of addressing heterogeneity entangled in gene-environment interactions, when considering precision medicine design approaches for blood pressure management.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Michael Brown
- The University of Texas Health Science Center at Houston
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Nicholette Palmer
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai
| | | | | | | | | | - Quan Sun
- University of North Carolina, USA
| | | | | | | | | | | | - Stefan Weiss
- University Medicine Greifswald & University of Greifswald
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Sami Heikkinen
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus
| | | | | | | | | | | | | | | | | | | | | | | | | | - Joseph McCormick
- The University of Texas Health Science Center at Houston (UTHealth) School of Public Health
| | - Hao Mei
- University of Mississippi Medical Center
| | | | | | | | - Ilja Nolte
- University of Groningen, University Medical Center Groningen
| | | | | | | | | | | | | | - Olli Raitakari
- Turku University Hospital and Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku
| | | | | | | | | | | | - Rodney Scott
- University of Newcastle and the Hunter Medical Research Institute
| | | | | | | | | | | | | | | | | | | | - Rui Xia
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jiang He
- Tulane University School of Public Health and Tropical Medicine
| | | | | | | | | | | | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University
| | - Changwei Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | | | | | | | | | | | - Patricia Peyser
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Jerome Rotter
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
| | | | | | | | | | | | | | - Myriam Fornage
- 1. Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center
- 2. Human Genetics Center, Department of Epidemiology, School of Public Health
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Sejbuk M, Siebieszuk A, Witkowska AM. The Role of Gut Microbiome in Sleep Quality and Health: Dietary Strategies for Microbiota Support. Nutrients 2024; 16:2259. [PMID: 39064702 PMCID: PMC11279861 DOI: 10.3390/nu16142259] [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: 06/03/2024] [Revised: 07/10/2024] [Accepted: 07/11/2024] [Indexed: 07/28/2024] Open
Abstract
Dietary components, including dietary fiber, unsaturated fatty acids, and polyphenols, along with meal timing and spacing, significantly affect the microbiota's capacity to produce various metabolites essential for quality sleep and overall health. This review explores the role of gut microbiota in regulating sleep through various metabolites such as short-chain fatty acids, tryptophan, serotonin, melatonin, and gamma-aminobutyric acid. A balanced diet rich in plant-based foods enhances the production of these sleep-regulating metabolites, potentially benefiting overall health. This review aims to investigate how dietary habits affect gut microbiota composition, the metabolites it produces, and the subsequent impact on sleep quality and related health conditions.
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Affiliation(s)
- Monika Sejbuk
- Department of Food Biotechnology, Medical University of Bialystok, Szpitalna 37, 15-295 Bialystok, Poland;
| | - Adam Siebieszuk
- Department of Physiology, Faculty of Medicine, Medical University of Bialystok, Mickiewicza 2C, 15-222 Białystok, Poland;
| | - Anna Maria Witkowska
- Department of Food Biotechnology, Medical University of Bialystok, Szpitalna 37, 15-295 Bialystok, Poland;
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Gu J, Wu H, Diao W, Ji Y, Li J, Huo J. Association of Sleep Duration with Risk of All-Cause and Cause-Specific Mortality Among American Adults: A Population-Based Cohort Study. Nat Sci Sleep 2024; 16:949-962. [PMID: 39011490 PMCID: PMC11249099 DOI: 10.2147/nss.s469638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Accepted: 06/28/2024] [Indexed: 07/17/2024] Open
Abstract
Objective To examine potential factors affecting sleep duration and explore its association with the risk of mortality among adults in the United States. Methods The study population consisted of adults aged 26 to 79 years who participated in the National Health and Nutrition Examination Survey (NHANES) conducted from 2007 to 2016. Sleep duration was classified into three categories: short (<7 hours), optimal (7-8 hours), and long (≥9 hours). The associations between sleep duration and both all-cause mortality and cause-specific mortality (including heart disease, tumors, cerebrovascular disease, and others) were examined in the overall population and subgroups using weighted Cox regression models. Dose-response associations between sleep duration and risk of all-cause mortality were explored using restricted cubic spline (RCS) analyses. Additionally, a multinomial logistic regression analysis was conducted to investigate potential factors that influence sleep duration in adults. Results The study included a total of 24,141 subjects, with a population-weighted mean age of 48.93 years. Over 30% of the subjects exhibited unhealthy sleep habits. Fully adjusted models revealed that both short sleep duration (HR=1.169, 95% CI 1.027-1.331) and long sleep duration (HR=1.286, 95% CI 1.08-1.531), were associated with an increased risk of all-cause mortality. The RCS curves showed a U-shaped relationship between sleep duration and risk of all-cause mortality. Subgroup analyses showed a significant association between poor sleep patterns and all-cause mortality among adults aged 26-64 years, males, and non-Hispanic whites. Furthermore, multinomial logistic regression identified several predictors associated with short and long sleep durations. Conclusion Both short and long sleep duration are associated with an increased risk of all-cause mortality, with a U-shaped dose-response relationship. It is imperative to implement appropriate primary prevention strategies aimed at monitoring and providing health education to populations at risk of developing unhealthy sleep patterns.
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Affiliation(s)
- Jialin Gu
- Department of Oncology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210028, People's Republic of China
- Department of Traditional Chinese medicine, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, People's Republic of China
| | - Hailan Wu
- Department of Oncology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210028, People's Republic of China
- Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210016, People's Republic of China
| | - Wanjing Diao
- Department of Oncology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210028, People's Republic of China
| | - Yi Ji
- Department of Oncology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210028, People's Republic of China
| | - Jianyue Li
- Department of Oncology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210028, People's Republic of China
| | - Jiege Huo
- Department of Oncology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210028, People's Republic of China
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Hypertension Branch of Chinese Geriatrics Society, Beijing Hypertension Association, National Clinical Research Center of the Geriatric Diseases, HUA Q, FAN L, WANG ZW, LI J. 2023 Guideline for the management of hypertension in the elderly population in China. J Geriatr Cardiol 2024; 21:589-630. [PMID: 38973827 PMCID: PMC11224653 DOI: 10.26599/1671-5411.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2024] Open
Affiliation(s)
| | - Qi HUA
- Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Li FAN
- Chinese PLA General Hospital, Beijing, China
| | - Zeng-Wu WANG
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing LI
- Xuanwu Hospital, Capital Medical University, Beijing, China
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22
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Zhao Y, Liu J, Xia JH, Li C, Ma XQ. Dose-response relationship between sleep duration and cardiovascular metabolic multimorbidity among older adults in China: A nationwide survey. J Affect Disord 2024; 354:75-81. [PMID: 38479505 DOI: 10.1016/j.jad.2024.03.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 03/04/2024] [Accepted: 03/09/2024] [Indexed: 03/17/2024]
Abstract
AIMS AND OBJECTIVES The purpose of this study was to explore the relationship between the duration of sleep per day and cardiovascular metabolic multimorbidity (CMM) in older adults and to identify how many hours of sleep per day can lead to a lower risk of CMM in older adults. BACKGROUND CMM are a common syndrome in the older adults. There may be an association between sleep duration and CMM in older adults, with both insomnia and sleep deprivation having an impact on the health of older adults. Therefore, it is important to explore the possibility that older adults who sleep for a few hours per day may have a lower prevalence of CMM. METHODS The study included 9710 older adults. The sleep duration in this study was assessed by the question "How many hours of sleep do you currently get in a day? ". Older adults were defined as having CMM when they had two or more of the five categories of hypertension, diabetes, heart disease, stroke or cardiovascular disease, dyslipidemia. We used multivariate logistic regression analysis to explore the association among sleep duration and CMM. Restrictive cubic splines were used to examine the shape of the association among sleep duration and the CMM. The STROBE checklist was used for this cross-sectional study. RESULTS The mean age was 84.78 ± 11.73 years, with 55.5 % being female. Of the total sample, 21.3 % were CMM. When all covariates were adjusted, there was dose-response relationship between sleep duration and CMM. The dose-response relationship between CMM and sleep duration showed that older adults had a lower risk of cardiovascular and metabolic multimorbidity when they slept 9 h and 10 h per day. CONCLUSION With the increasing population of older adults, the number of older adults suffering from CMM continues to rise, and adequate sleep time can effectively prevent the occurrence of CMM. We should pay attention to the sleep problem of the older adults. RELEVANCE TO CLINICAL PRACTICE This study provided information for healthcare providers to identify circumstances that increase cardiovascular metabolic multimorbidity and suggest the appropriate sleep duration per day to reduce the risk of disease in older adults. PATIENT OR PUBLIC CONTRIBUTION Because of the public database data used in this study, all data were collected by survey agency personnel, so this section is not applicable to this study.
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Affiliation(s)
- Yu Zhao
- HanZhong Central Hospital, HanZhong, China
| | - Juan Liu
- HanZhong Central Hospital, HanZhong, China
| | | | - Cui Li
- HanZhong Central Hospital, HanZhong, China
| | - Xiu-Qin Ma
- HanZhong Central Hospital, HanZhong, China.
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23
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Nurrobi YAS, Winston K, Damara I, Rahman AL, Falakhi MF, Aristya MP, Toaha AF, Larasaty IN. The Effect of Sleep Duration on Hypertension Risk in an Adult Asian Population: A Systematic Review and Meta-Analysis. Cureus 2024; 16:e61508. [PMID: 38957247 PMCID: PMC11218897 DOI: 10.7759/cureus.61508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/16/2024] [Indexed: 07/04/2024] Open
Abstract
Sleep duration has been proposed as a potential and important modifiable risk factor, yet its precise relationship with hypertension among Asian adults remains unclear. This meta-analysis aims to elucidate the impact of short sleep duration on hypertension risk within the adult Asian population. A systematic search of databases, including PubMed, Scopus, and ScienceDirect, was conducted to identify relevant studies published up to January 4, 2024. Eligible studies comprised observational cohort studies and cross-sectional studies that compared short sleep duration to normal sleep duration in relation to hypertension risk among Asian adults. The definitions for short and normal sleep durations were derived from the respective studies. The random effects model was utilized to pool effect estimates, and all statistical analyses were conducted using Review Manager 5.4 software (RevMan) (Cochrane Collaboration, Oxford, UK). Results from a systematic search obtained seven studies assessing sleep duration and hypertension risk in Asian populations. Based on a meta-analysis of six studies, short sleep duration is associated with a higher hypertension risk when compared to normal sleep duration (OR: 1.36; 95% CI: 1.13-1.64; p: 0.0010; I2: 75%). Subgroup analysis based on sex showed that the association is evident across males (OR: 1.12; 95% CI: 1.01-1.25; p: 0.03; I2: 64%) and females (OR: 1.22; 95% CI: 1.10-1.35; p: 0.0003; I2: 82%). In conclusion, based on the analyzed studies, short sleep duration is associated with a higher mild risk of hypertension, irrespective of sex. Thus, short sleep duration can be a modifiable risk factor that can be prevented to reduce the risk of hypertension. By incorporating sleep hygiene practices and promoting healthy sleep habits, significant improvement in cardiovascular health can be made, especially in hypertension risk at a population level. Further studies on the effect of sleep duration in different age populations should be conducted to confirm the impact of short sleep duration.
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Affiliation(s)
- Yusuf Aji S Nurrobi
- Cardiology, Pertamina Hospital, Balikpapan, IDN
- Cardiology, Faculty of Medicine, Universitas Airlangga, Surabaya, IDN
| | - Kevin Winston
- Hospital Medicine, Bhakti Medicare Hospital, Cicurug, IDN
| | - Ivan Damara
- Research, Oxford University Clinical Research Unit Indonesia, Jakarta, IDN
| | - Andi L Rahman
- General Medicine, Hasri Ainun Habibie Regional Hospital, Parepare, IDN
| | - Moh F Falakhi
- General Medicine, Muhammadiyah Gresik Hospital, Gresik, IDN
| | - Meutia P Aristya
- General Medicine, Metropolitan Medical Centre Hospital, Jakarta, IDN
| | - Ahmad F Toaha
- General Medicine, Labuang Baji Hospital, Makassar, IDN
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24
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Leitner J, Chiang PH, Agnihotri P, Dey S. The Effect of an AI-Based, Autonomous, Digital Health Intervention Using Precise Lifestyle Guidance on Blood Pressure in Adults With Hypertension: Single-Arm Nonrandomized Trial. JMIR Cardio 2024; 8:e51916. [PMID: 38805253 PMCID: PMC11167324 DOI: 10.2196/51916] [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: 08/24/2023] [Revised: 01/29/2024] [Accepted: 04/09/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Home blood pressure (BP) monitoring with lifestyle coaching is effective in managing hypertension and reducing cardiovascular risk. However, traditional manual lifestyle coaching models significantly limit availability due to high operating costs and personnel requirements. Furthermore, the lack of patient lifestyle monitoring and clinician time constraints can prevent personalized coaching on lifestyle modifications. OBJECTIVE This study assesses the effectiveness of a fully digital, autonomous, and artificial intelligence (AI)-based lifestyle coaching program on achieving BP control among adults with hypertension. METHODS Participants were enrolled in a single-arm nonrandomized trial in which they received a BP monitor and wearable activity tracker. Data were collected from these devices and a questionnaire mobile app, which were used to train personalized machine learning models that enabled precision lifestyle coaching delivered to participants via SMS text messaging and a mobile app. The primary outcomes included (1) the changes in systolic and diastolic BP from baseline to 12 and 24 weeks and (2) the percentage change of participants in the controlled, stage-1, and stage-2 hypertension categories from baseline to 12 and 24 weeks. Secondary outcomes included (1) the participant engagement rate as measured by data collection consistency and (2) the number of manual clinician outreaches. RESULTS In total, 141 participants were monitored over 24 weeks. At 12 weeks, systolic and diastolic BP decreased by 5.6 mm Hg (95% CI -7.1 to -4.2; P<.001) and 3.8 mm Hg (95% CI -4.7 to -2.8; P<.001), respectively. Particularly, for participants starting with stage-2 hypertension, systolic and diastolic BP decreased by 9.6 mm Hg (95% CI -12.2 to -6.9; P<.001) and 5.7 mm Hg (95% CI -7.6 to -3.9; P<.001), respectively. At 24 weeks, systolic and diastolic BP decreased by 8.1 mm Hg (95% CI -10.1 to -6.1; P<.001) and 5.1 mm Hg (95% CI -6.2 to -3.9; P<.001), respectively. For participants starting with stage-2 hypertension, systolic and diastolic BP decreased by 14.2 mm Hg (95% CI -17.7 to -10.7; P<.001) and 8.1 mm Hg (95% CI -10.4 to -5.7; P<.001), respectively, at 24 weeks. The percentage of participants with controlled BP increased by 17.2% (22/128; P<.001) and 26.5% (27/102; P<.001) from baseline to 12 and 24 weeks, respectively. The percentage of participants with stage-2 hypertension decreased by 25% (32/128; P<.001) and 26.5% (27/102; P<.001) from baseline to 12 and 24 weeks, respectively. The average weekly participant engagement rate was 92% (SD 3.9%), and only 5.9% (6/102) of the participants required manual outreach over 24 weeks. CONCLUSIONS The study demonstrates the potential of fully digital, autonomous, and AI-based lifestyle coaching to achieve meaningful BP improvements and high engagement for patients with hypertension while substantially reducing clinician workloads. TRIAL REGISTRATION ClinicalTrials.gov NCT06337734; https://clinicaltrials.gov/study/NCT06337734.
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Affiliation(s)
- Jared Leitner
- Electrical and Computer Engineering Department, University of California, San Diego, La Jolla, CA, United States
| | - Po-Han Chiang
- Electrical and Computer Engineering Department, University of California, San Diego, La Jolla, CA, United States
| | - Parag Agnihotri
- Department of Medicine, University of California, San Diego, La Jolla, CA, United States
| | - Sujit Dey
- Electrical and Computer Engineering Department, University of California, San Diego, La Jolla, CA, United States
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25
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Pu L, Zhang R, Wang H, Zhao T, Zeng J, Yang H, Han L, Fang J, Sun N. Association between sleep pattern and incidence of hypertension: A prospective cohort study of older adult participants in the Chinese longitudinal healthy longevity survey. Arch Gerontol Geriatr 2024; 119:105314. [PMID: 38176123 DOI: 10.1016/j.archger.2023.105314] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 12/06/2023] [Accepted: 12/12/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND The relationship between sleep duration or sleep quality and the risk of hypertension has been previously examined. However, little is known regarding the association between sleep duration and quality and the risk of developing hypertension in the older adult Chinese population. METHODS The sleep patterns of 5683 participants without hypertension at baseline from the Chinese Longitudinal Healthy Longevity Survey were analyzed. Cox proportional hazard models were used to study the associations between sleep patterns and hypertension. RESULTS It was found that 1712 (30.12%) of the 5683 participants had an unhealthy sleep pattern. After an average follow-up of 3.31 years, 1350 of the participants had hypertension. Compared with participants with an unhealthy sleep pattern, those with a healthy sleep pattern had a 20% (hazard ratio = 0.80, 95% confidence interval = 0.67-0.94, P = = 0.008) lower risk of incident hypertension in the fully adjusted models. In addition, an approximately linear dose-response association was observed between sleep duration and the incidence of hypertension (P for non-linear =0.43). Subgroup analyses demonstrated significant interactions between age and sleep pattern concerning hypertension (P for interaction <0.05). Several sensitivity analyses were conducted, and the obtained findings were similar to the main results. CONCLUSIONS A healthy sleep pattern, comprising an adequate sleep duration and good sleep quality, can help reduce hypertension risk. Thus, a healthy sleep pattern is crucial to decreasing hypertension in older Chinese adults in a rapidly aging society.
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Affiliation(s)
- Liyuan Pu
- Health Examination Center, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China; Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, Zhejiang, China
| | - Ruijie Zhang
- Health Examination Center, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China; Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, Zhejiang, China
| | - Han Wang
- Health Examination Center, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China; Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, Zhejiang, China
| | - Tian Zhao
- Health Examination Center, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China; Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, Zhejiang, China
| | - Jingjing Zeng
- Health Examination Center, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China; Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, Zhejiang, China
| | - Huiqun Yang
- Health Examination Center, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China; Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, Zhejiang, China
| | - Liyuan Han
- Health Examination Center, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China; Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, Zhejiang, China
| | - Jianfei Fang
- Health Examination Center, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China.
| | - Ning Sun
- School of Nursing, Ningbo College of Health Sciences, Ningbo, Zhejiang, China.
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Even C, Magzal F, Shochat T, Haimov I, Agmon M, Tamir S. Microbiota Metabolite Profiles and Dietary Intake in Older Individuals with Insomnia of Short vs. Normal Sleep Duration. Biomolecules 2024; 14:419. [PMID: 38672436 PMCID: PMC11047947 DOI: 10.3390/biom14040419] [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: 02/19/2024] [Revised: 03/23/2024] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
Recent evidence suggests that the gut microbiota plays a role in insomnia pathogenesis. This study compared the dietary habits and microbiota metabolites of older adults with insomnia of short vs. normal sleep duration (ISSD and INSD, respectively). Data collection included sleep assessment through actigraphy, dietary analysis using the Food Frequency Questionnaire, and metabolomic profiling of stool samples. The results show that ISSD individuals had higher body mass index and a greater prevalence of hypertension. Significant dietary differences were observed, with the normal sleep group consuming more kilocalories per day and specific aromatic amino acids (AAAs) phenylalanine and tyrosine and branch-chain amino acid (BCAA) valine per protein content than the short sleep group. Moreover, metabolomic analysis identified elevated levels of the eight microbiota metabolites, benzophenone, pyrogallol, 5-aminopental, butyl acrylate, kojic acid, deoxycholic acid (DCA), trans-anethole, and 5-carboxyvanillic acid, in the short compared to the normal sleep group. The study contributes to the understanding of the potential role of dietary and microbial factors in insomnia, particularly in the context of sleep duration, and opens avenues for targeted dietary interventions and gut microbiota modulation as potential therapeutic approaches for treating insomnia.
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Affiliation(s)
- Carmel Even
- Nutritional Science Department, Tel Hai College, Upper Galilee, Kiryat Shmona 1220800, Israel (S.T.)
| | - Faiga Magzal
- Nutritional Science Department, Tel Hai College, Upper Galilee, Kiryat Shmona 1220800, Israel (S.T.)
- Laboratory of Human Health and Nutrition Sciences, MIGAL-Galilee Research Institute, Kiryat Shmona 11016, Israel
| | - Tamar Shochat
- The Cheryl Spencer Department of Nursing, University of Haifa, Haifa 3103301, Israel; (T.S.)
| | - Iris Haimov
- Department of Psychology and the Center for Psychobiological Research, The Max Stern Yezreel Valley College, Affula 19300, Israel;
| | - Maayan Agmon
- The Cheryl Spencer Department of Nursing, University of Haifa, Haifa 3103301, Israel; (T.S.)
| | - Snait Tamir
- Nutritional Science Department, Tel Hai College, Upper Galilee, Kiryat Shmona 1220800, Israel (S.T.)
- Laboratory of Human Health and Nutrition Sciences, MIGAL-Galilee Research Institute, Kiryat Shmona 11016, Israel
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27
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Oseni TIA, Udonwa NE, Oku AO, Makinde MT, Archibong F. Association between sleep quality and blood pressure control among hypertensive patients at a rural tertiary hospital in Southern Nigeria: a cross-sectional study. BMJ Open 2024; 14:e079774. [PMID: 38458777 PMCID: PMC10928733 DOI: 10.1136/bmjopen-2023-079774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 02/28/2024] [Indexed: 03/10/2024] Open
Abstract
OBJECTIVES Restorative sleep is critical in preventing hypertension and other chronic diseases. Limited research has explored the relationship between sleep quality and hypertension in Africa. This study investigated the association between sleep quality and blood pressure control among hypertensive patients in Southern Nigeria. DESIGN Cross-sectional study. SETTING A rural tertiary hospital in Southern Nigeria, April to June 2023. PARTICIPANTS 250 systematically selected hypertensive adults. Participants completed a validated semistructured interviewer-administered questionnaire to assess their sleep patterns, including sleep duration, self-reported trouble sleeping and a history of clinical diagnosis of sleep disorders. Sleep patterns were categorised as restorative (healthy) or non-restorative (unhealthy). The blood pressure of respondents was checked and categorised as controlled (<140/90 mm Hg) or uncontrolled (≥140/90 mm Hg). Data were analysed descriptively using SPSS V.24.0 OUTCOME MEASURES: Quality of sleep and blood pressure control. RESULTS Respondents had a mean age of 51.5±10.0 years, with the majority being female (156, 62.4%), married (135, 54.0%) and belonging to the Esan tribe (125, 50.0%). The prevalence of restorative sleep was 36%, while the blood pressure control rate was 23.6%. An association was found between restorative sleep and blood pressure control (adjusted OR =4.38; 95% CI=2.37-8.10; p<0.0001). Respondents aged ≥60 years had 3.5 times higher odds of experiencing non-restorative sleep than those aged ≤40 years (aOR=3.46; 95% CI=1.37-8.74; p=0.009). CONCLUSION The study found an association between poor quality sleep and poor blood pressure control. Incorporating sleep assessments and interventions into comprehensive hypertension management strategies could be explored as a possible approach to improve sleep quality and enhance blood pressure control. TRIAL REGISTRATION NUMBER PACTR202301917477205.
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Affiliation(s)
- Tijani Idris Ahmad Oseni
- Family Medicine, Edo State University Uzairue, Iyamho, Nigeria
- Department of Family Medicine, Edo State University Teaching Hospital Auchi, Auchi, Nigeria
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28
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Nagarajan P, Winkler TW, Bentley AR, Miller CL, Kraja AT, Schwander K, Lee S, Wang W, Brown MR, Morrison JL, Giri A, O’Connell JR, Bartz TM, de las Fuentes L, Gudmundsdottir V, Guo X, Harris SE, Huang Z, Kals M, Kho M, Lefevre C, Luan J, Lyytikäinen LP, Mangino M, Milaneschi Y, Palmer ND, Rao V, Rauramaa R, Shen B, Stadler S, Sun Q, Tang J, Thériault S, van der Graaf A, van der Most PJ, Wang Y, Weiss S, Westerman KE, Yang Q, Yasuharu T, Zhao W, Zhu W, Altschul D, Ansari MAY, Anugu P, Argoty-Pantoja AD, Arzt M, Aschard H, Attia JR, Bazzanno L, Breyer MA, Brody JA, Cade BE, Chen HH, Ida Chen YD, Chen Z, de Vries PS, Dimitrov LM, Do A, Du J, Dupont CT, Edwards TL, Evans MK, Faquih T, Felix SB, Fisher-Hoch SP, Floyd JS, Graff M, Gu C, Gu D, Hairston KG, Hanley AJ, Heid IM, Heikkinen S, Highland HM, Hood MM, Kähönen M, Karvonen-Gutierrez CA, Kawaguchi T, Kazuya S, Kelly TN, Komulainen P, Levy D, Lin HJ, Liu PY, Marques-Vidal P, McCormick JB, Mei H, Meigs JB, Menni C, Nam K, Nolte IM, Pacheco NL, Petty LE, Polikowsky HG, Province MA, Psaty BM, Raffield LM, Raitakari OT, Rich SS, et alNagarajan P, Winkler TW, Bentley AR, Miller CL, Kraja AT, Schwander K, Lee S, Wang W, Brown MR, Morrison JL, Giri A, O’Connell JR, Bartz TM, de las Fuentes L, Gudmundsdottir V, Guo X, Harris SE, Huang Z, Kals M, Kho M, Lefevre C, Luan J, Lyytikäinen LP, Mangino M, Milaneschi Y, Palmer ND, Rao V, Rauramaa R, Shen B, Stadler S, Sun Q, Tang J, Thériault S, van der Graaf A, van der Most PJ, Wang Y, Weiss S, Westerman KE, Yang Q, Yasuharu T, Zhao W, Zhu W, Altschul D, Ansari MAY, Anugu P, Argoty-Pantoja AD, Arzt M, Aschard H, Attia JR, Bazzanno L, Breyer MA, Brody JA, Cade BE, Chen HH, Ida Chen YD, Chen Z, de Vries PS, Dimitrov LM, Do A, Du J, Dupont CT, Edwards TL, Evans MK, Faquih T, Felix SB, Fisher-Hoch SP, Floyd JS, Graff M, Gu C, Gu D, Hairston KG, Hanley AJ, Heid IM, Heikkinen S, Highland HM, Hood MM, Kähönen M, Karvonen-Gutierrez CA, Kawaguchi T, Kazuya S, Kelly TN, Komulainen P, Levy D, Lin HJ, Liu PY, Marques-Vidal P, McCormick JB, Mei H, Meigs JB, Menni C, Nam K, Nolte IM, Pacheco NL, Petty LE, Polikowsky HG, Province MA, Psaty BM, Raffield LM, Raitakari OT, Rich SS, Riha RL, Risch L, Risch M, Ruiz-Narvaez EA, Scott RJ, Sitlani CM, Smith JA, Sofer T, Teder-Laving M, Völker U, Vollenweider P, Wang G, van Dijk KW, Wilson OD, Xia R, Yao J, Young KL, Zhang R, Zhu X, Below JE, Böger CA, Conen D, Cox SR, Dörr M, Feitosa MF, Fox ER, Franceschini N, Gharib SA, Gudnason V, Harlow SD, He J, Holliday EG, Kutalik Z, Lakka TA, Lawlor DA, Lee S, Lehtimäki T, Li C, Liu CT, Mägi R, Matsuda F, Morrison AC, Penninx BWJH, Peyser PA, Rotter JI, Snieder H, Spector TD, Wagenknecht LE, Wareham NJ, Zonderman AB, North KE, Fornage M, Million Veteran Program, Hung AM, Manning AK, Gauderman J, Chen H, Munroe PB, Rao DC, van Heemst D, Redline S, Noordam R, Wang H. A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.07.24303870. [PMID: 38496537 PMCID: PMC10942520 DOI: 10.1101/2024.03.07.24303870] [Show More Authors] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to genes involved in neurological, thyroidal, bone metabolism, and hematopoietic pathways. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausibility of distinct influences of both sleep duration extremes in cardiovascular health. With several of our loci reflecting specificity towards population background or sex, our discovery sheds light on the importance of embracing granularity when addressing heterogeneity entangled in gene-environment interactions, and in therapeutic design approaches for blood pressure management.
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Affiliation(s)
- Pavithra Nagarajan
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, US National Institutes of Health, Bethesda, MD, USA
| | - Clint L Miller
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesvil le, VA, USA
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville ,VA, USA
| | - Aldi T Kraja
- University of Mississippi Medical Center, Jackson, MS, USA
| | - Karen Schwander
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Songmi Lee
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Wenyi Wang
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - John L Morrison
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Ayush Giri
- Division of Quantitative Sciences, Department of Obstetrics & Gynecology, Vanderbilt University Medical Center, Nashville, TN, USA
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs/ Nashville, TN, USA
| | - Jeffrey R O’Connell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Lisa de las Fuentes
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine in St. Louis, MO, USA
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA
| | - Valborg Gudmundsdottir
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, Department of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Sarah E Harris
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Zhijie Huang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
| | - Mart Kals
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Minjung Kho
- Graduate School of Data Science, Seoul National University, Seoul, South Korea
| | - Christophe Lefevre
- Department of Data Sciences, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Jian’an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Finnish Cardiovascular Research Center - Tampere, Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Massimo Mangino
- Department of Twin Research, King’s College London, London, UK
- National Heart & Lung Institute, Cardiovascular Genomics and Precision Medicine, Imperial College London, London, UK
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam UMC/Vrije universiteit, Amsterdam, Netherlands
- GGZ inGeest, Amsterdam, Netherlands
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Varun Rao
- Division of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, USA
| | - Rainer Rauramaa
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Botong Shen
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Stefan Stadler
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| | - Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jingxian Tang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Sébastien Thériault
- Department of Molecular Biology, Medical Biochemistry and Pathology, Université Laval, Quebec City, Qc, Canada
| | - Adriaan van der Graaf
- Statistical Genetics Group, Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Yujie Wang
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stefan Weiss
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Kenneth E Westerman
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
| | - Qian Yang
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tabara Yasuharu
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Wei Zhao
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Wanying Zhu
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Drew Altschul
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Md Abu Yusuf Ansari
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Pramod Anugu
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, USA
| | - Anna D Argoty-Pantoja
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Michael Arzt
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| | - Hugues Aschard
- Department of Computational Biology, F-75015 Paris, France Institut Pasteur, Université Paris Cité, Paris, France
- Department of Epidemiology, Harvard TH School of Public Health, Boston, MA, USA
| | - John R Attia
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia
| | - Lydia Bazzanno
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
| | - Max A Breyer
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Hung-hsin Chen
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Zekai Chen
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Latchezar M Dimitrov
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Anh Do
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA
| | - Jiawen Du
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Charles T Dupont
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Todd L Edwards
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs/ Nashville, TN, USA
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, US A
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Tariq Faquih
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Stephan B Felix
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, Department of Internal Medicine B, Un iversity Medicine Greifswald, Greifswald, Germany
| | - Susan P Fisher-Hoch
- School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Brownsville, TX, USA
| | - James S Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Mariaelisa Graff
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Charles Gu
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA
| | - Dongfeng Gu
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science an d Technology, Shenzhen, China
| | - Kristen G Hairston
- Department of Endocrinology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Anthony J Hanley
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Iris M Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Sami Heikkinen
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Kuopio
| | - Heather M Highland
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michelle M Hood
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Mika Kähönen
- Finnish Cardiovascular Research Center - Tampere, Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | | | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Setoh Kazuya
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Tanika N Kelly
- Division of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, USA
| | | | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Henry J Lin
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Peter Y Liu
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Joseph B McCormick
- School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Brownsville, TX, USA
| | - Hao Mei
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Cristina Menni
- Department of Twin Research, King’s College London, London, UK
| | - Kisung Nam
- Graduate School of Data Science, Seoul National University, Seoul, South Korea
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Natasha L Pacheco
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Lauren E Petty
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hannah G Polikowsky
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, and Department of Clinical Physiology and Nuclear Medicine, University of Turku, and Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Renata L Riha
- Department of Sleep Medicine, The University of Edinburgh, Edinburgh, UK
| | - Lorenz Risch
- Faculty of Medical Sciences , Institute for Laboratory Medicine, Private University in the Principality of Liecht enstein, Vaduz, Liechtenstein
- Center of Laboratory Medicine, Institute of Clinical Chemistry, University of Bern and Inselspital, Bern, Switze rland
| | - Martin Risch
- Central Laboratory, Cantonal Hospital Graubünden, Chur, Switzerland
- Medical Laboratory, Dr. Risch Anstalt, Vaduz, Liechtenstein
| | | | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jennifer A Smith
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- CardioVascular Institute (CVI), Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Maris Teder-Laving
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Uwe Völker
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Guanchao Wang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
- Department of Internal Medicine, Division of Endocrinology, Leiden, Netherlands
| | - Otis D Wilson
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs/ Nashville, TN, USA
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rui Xia
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kristin L Young
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ruiyuan Zhang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Jennifer E Below
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Carsten A Böger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
- Department of Nephrology and Rheumatology, Kliniken Südostbayern, Traunstein, Germany
- KfH Kidney Centre Traunstein, Traunstein, Germany
| | - David Conen
- Population Health Research Institute, Medicine, McMaster University, Hamilton, On, Canada
| | - Simon R Cox
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Marcus Dörr
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, Department of Internal Medicine B, Un iversity Medicine Greifswald, Greifswald, Germany
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Ervin R Fox
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Nora Franceschini
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sina A Gharib
- Pulmonary, Critical Care and Sleep Medicine, Medicine, University of Washington, Seattle, WA, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, Department of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Sioban D Harlow
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
- Tulane University Translational Sciences Institute, New Orleans, LA , USA
| | - Elizabeth G Holliday
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia
| | - Zoltan Kutalik
- Statistical Genetics Group, Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
| | - Timo A Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Kuopio
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Seunggeun Lee
- Graduate School of Data Science, Seoul National University, Seoul, South Korea
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Finnish Cardiovascular Research Center - Tampere, Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Changwei Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Brenda WJH Penninx
- Department of Psychiatry, Amsterdam UMC/Vrije universiteit, Amsterdam, Netherlands
- GGZ inGeest, Amsterdam, Netherlands
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Tim D Spector
- Department of Twin Research, King’s College London, London, UK
| | - Lynne E Wagenknecht
- Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | | | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Kari E North
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | | | - Adriana M Hung
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs/ Nashville, TN, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Alisa K Manning
- Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Metabolism Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Patricia B Munroe
- Clinical Pharmacology and Precision Medicine, Queen Mary University of London, London, UK
| | - Dabeeru C Rao
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Lei den, Netherlands
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Lei den, Netherlands
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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Wang X, Wang R, Zhang D. Bidirectional associations between sleep quality/duration and multimorbidity in middle-aged and older people Chinese adults: a longitudinal study. BMC Public Health 2024; 24:708. [PMID: 38443848 PMCID: PMC10916205 DOI: 10.1186/s12889-024-17954-8] [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: 07/16/2023] [Accepted: 02/01/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Multimorbidity and sleep disorder possess high incidence rates in the middle-aged and older people populations, posing a significant threat to quality of life and physical and mental health. However, investigators have previously only analysed the unidirectional association between sleep status and multimorbidity. We aimed to investigate bidirectional associations between sleep quality or duration and multimorbidity in middle-aged and older Chinese adults from a longitudinal perspective. METHOD We enrolled a total of 9823 participants 45 years and older from the China Health and Retirement Longitudinal Study from 2015 to 2018 in our study. Multimorbidity was defined as two or more coexisting chronic diseases in the same individual based on 14 self-reported disease questions. Sleep quality was classified as "good" (restless < 1 day per week) and "poor" (restless ≥ 1 days per week); and sleep duration was divided into short (< 6 h), medium (6-9 h), and long (> 9 h). The bidirectional association between multimorbidity and sleep condition was examined using multivariate logistic regression models with adjustments for covariates. RESULTS Individuals with poor sleep quality showed a significantly higher prevalence of multimorbidity in the future. The adjusted OR (95% CI) values of individuals with poor sleep quality with respect to developing two diseases, three diseases, and ≥ 4 diseases were 1.39 (1.19, 1.63), 1.56 (1.23, 2.03), and 2.36 (1.68, 3.33), respectively. In addition, individuals with multimorbidity exhibited a significantly higher risk of poor sleep quality in the future. Short sleep duration led to multimorbidity in the future (OR = 1.49; 95 CI%, 1.37-1.63), while multimorbidity contributed to short sleep duration (< 6 h) in the future (OR = 1.39; 95% CI, 1.27-1.51) after full adjustment. CONCLUSIONS There was a bidirectional association between sleep quality or short sleep duration and multimorbidity in middle-aged and older Chinese adults. We recommend that greater attention be given to clinical management among adults with sleep disorders or physical multimorbidities.
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Affiliation(s)
- Xiaoran Wang
- Institute of Hospital Management/Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Rui Wang
- School of Nursing, Fudan University, Shanghai, China
| | - Dan Zhang
- Institute of Hospital Management/Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.
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30
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Nguyen J, Mookerjee N, Koirala P, Schmalbach N, Antinori G, Thampi S, Windle-Puente D, Gilligan A, Huy H, Andrews M, Sun A, Gandhi R, Benedict W, Chang A, Sanders B, Keesara MR, aliev J, Patel A, Hughes I, Millstein I, Hunter K, Roy S. Association of Atrial Fibrillation with Insomnia in the Elderly Population. J Prim Care Community Health 2024; 15:21501319241296623. [PMID: 39508592 PMCID: PMC11544646 DOI: 10.1177/21501319241296623] [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: 08/03/2024] [Revised: 09/11/2024] [Accepted: 10/03/2024] [Indexed: 11/15/2024] Open
Abstract
INTRODUCTION/OBJECTIVES Insomnia is a common sleep disorders that affects most individuals in the United States, and worldwide. Insomnia is linked with an increased risk of atrial fibrillation (AF) in adults, although the strengths of association were weak, especially in the elderly population. AF is estimated to affect approximately 3 to 6 million people in the United States. We studied the association of AF with insomnia in the elderly population. METHODS We reviewed the electronic medical records of elderly patients who received care in an internal medicine office from July 1, 2020 through June 30, 2021. Patients were grouped into AF group, and a group without AF (NOAF). Association of insomnia and other variables were compared between the 2 groups. RESULTS Among 2428 patients, 341 (14%) had AF. Patients in the AF group were significantly older compared to no-AF group (80.3 ± 7.9 vs 76.1 ± 7.4 years; P < .001). A higher frequency of men was noted in AF group versus NOAF group (54.3 vs 42.0%; P < .001). The frequency of insomnia was significantly higher in AF group versus NOAF group (14.1 vs 9.5%; P < .05). Additionally, greater frequencies of associations of other comorbid medical conditions were noted in the AF group compared to NOAF group, such as cerebrovascular accident (CVA; 12.9 vs 5.4%; P < .001), transient ischemic attack (TIA; 7.0 vs 3.0%; P < .001), dementia (5.9 vs 3.3%; P < .05), coronary artery disease (CAD; 34.9 vs 18.3%; P < .001), congestive heart failure (CHF; 21.1 vs 3.8%; P < .001), other cardiac arrhythmias (53.4 vs 6.3%; P < .001), chronic obstructive pulmonary disease (COPD; 12.3 vs 5.7%; P < .001), obstructive sleep apnea (OSA; 17.6 vs 11.8%; P = .003), chronic kidney disease (CKD; 22.9 vs 11.9%; P < .001), anemia (23.2 vs 13.0%; P < .001), and cancer (36.1 vs 27.9%; P = .002). There was significantly greater odds of AF in patients who had insomnia (OR = 1.972, CI = 1.360-2.851; P < .001). CONCLUSION AF was associated with insomnia in the elderly population. Higher frequencies of association of AF were also seen with older age, male sex, White race, CVA, TIA, dementia, CAD, CHF, other cardiac arrhythmias, COPD, OSA, CKD, anemia, and cancer.
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Affiliation(s)
- Justin Nguyen
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Neil Mookerjee
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | | | | | | | | | | | - Amy Gilligan
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Ha Huy
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Megha Andrews
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Angela Sun
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Roshni Gandhi
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | | | - Austin Chang
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Ben Sanders
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | | | - Janet aliev
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Aneri Patel
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Isaiah Hughes
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Ian Millstein
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Krystal Hunter
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Satyajeet Roy
- Cooper Medical School of Rowan University, Camden, NJ, USA
- Cooper University Health Care, Camden, NJ, USA
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31
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Cimmino G, Natale F, Alfieri R, Cante L, Covino S, Franzese R, Limatola M, Marotta L, Molinari R, Mollo N, Loffredo FS, Golino P. Non-Conventional Risk Factors: "Fact" or "Fake" in Cardiovascular Disease Prevention? Biomedicines 2023; 11:2353. [PMID: 37760794 PMCID: PMC10525401 DOI: 10.3390/biomedicines11092353] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 08/18/2023] [Accepted: 08/21/2023] [Indexed: 09/29/2023] Open
Abstract
Cardiovascular diseases (CVDs), such as arterial hypertension, myocardial infarction, stroke, heart failure, atrial fibrillation, etc., still represent the main cause of morbidity and mortality worldwide. They significantly modify the patients' quality of life with a tremendous economic impact. It is well established that cardiovascular risk factors increase the probability of fatal and non-fatal cardiac events. These risk factors are classified into modifiable (smoking, arterial hypertension, hypercholesterolemia, low HDL cholesterol, diabetes, excessive alcohol consumption, high-fat and high-calorie diet, reduced physical activity) and non-modifiable (sex, age, family history, of previous cardiovascular disease). Hence, CVD prevention is based on early identification and management of modifiable risk factors whose impact on the CV outcome is now performed by the use of CV risk assessment models, such as the Framingham Risk Score, Pooled Cohort Equations, or the SCORE2. However, in recent years, emerging, non-traditional factors (metabolic and non-metabolic) seem to significantly affect this assessment. In this article, we aim at defining these emerging factors and describe the potential mechanisms by which they might contribute to the development of CVD.
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Affiliation(s)
- Giovanni Cimmino
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Cardiology Unit, Azienda Ospedaliera Universitaria Luigi Vanvitelli, 80138 Naples, Italy
| | - Francesco Natale
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Roberta Alfieri
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Luigi Cante
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Simona Covino
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Rosa Franzese
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Mirella Limatola
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Luigi Marotta
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Riccardo Molinari
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Noemi Mollo
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Francesco S Loffredo
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Paolo Golino
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
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Bock JM, Greenlund IM, Somers VK, Baker SE. Sex Differences in Neurovascular Control: Implications for Obstructive Sleep Apnea. Int J Mol Sci 2023; 24:13094. [PMID: 37685900 PMCID: PMC10487948 DOI: 10.3390/ijms241713094] [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: 07/11/2023] [Revised: 08/10/2023] [Accepted: 08/14/2023] [Indexed: 09/10/2023] Open
Abstract
Patients with obstructive sleep apnea (OSA) have a heightened risk of developing cardiovascular diseases, namely hypertension. While seminal evidence indicates a causal role for sympathetic nerve activity in the hypertensive phenotype commonly observed in patients with OSA, no studies have investigated potential sex differences in the sympathetic regulation of blood pressure in this population. Supporting this exploration are large-scale observational data, as well as controlled interventional studies in healthy adults, indicating that sleep disruption increases blood pressure to a greater extent in females relative to males. Furthermore, females with severe OSA demonstrate a more pronounced hypoxic burden (i.e., disease severity) during rapid eye movement sleep when sympathetic nerve activity is greatest. These findings would suggest that females are at greater risk for the hemodynamic consequences of OSA and related sleep disruption. Accordingly, the purpose of this review is three-fold: (1) to review the literature linking sympathetic nerve activity to hypertension in OSA, (2) to highlight recent experimental data supporting the hypothesis of sex differences in the regulation of sympathetic nerve activity in OSA, and (3) to discuss the potential sex differences in peripheral adrenergic signaling that may contribute to, or offset, cardiovascular risk in patients with OSA.
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Affiliation(s)
- Joshua M. Bock
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55901, USA; (J.M.B.)
| | - Ian M. Greenlund
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55901, USA; (J.M.B.)
| | - Virend K. Somers
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55901, USA; (J.M.B.)
| | - Sarah E. Baker
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN 55901, USA
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Quan SF, Weaver MD, Czeisler MÉ, Barger LK, Booker LA, Howard ME, Jackson ML, Lane RI, McDonald CF, Ridgers A, Robbins R, Varma P, Wiley JF, Rajaratnam SMW, Czeisler CA. Insomnia, Poor Sleep Quality and Sleep Duration, and Risk for COVID-19 Infection and Hospitalization. Am J Med 2023; 136:780-788.e5. [PMID: 37075878 PMCID: PMC10108572 DOI: 10.1016/j.amjmed.2023.04.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 03/31/2023] [Accepted: 04/02/2023] [Indexed: 04/21/2023]
Abstract
BACKGROUND Medical comorbidities increase the risk of severe acute COVID-19 illness. Although sleep problems are common after COVID-19 infection, it is unclear whether insomnia, poor sleep quality, and extremely long or short sleep increase risk of developing COVID-19 infection or hospitalization. METHODS The study used a cross-sectional survey of a diverse sample of 19,926 US adults. RESULTS COVID-19 infection and hospitalization prevalence rates were 40.1% and 2.9%, respectively. Insomnia and poor sleep quality were reported in 19.8% and 40.1%, respectively. In logistic regression models adjusted for comorbid medical conditions and sleep duration but excluding participants who reported COVID-19-associated sleep problems, poor sleep quality, but not insomnia, was associated with COVID-19 infection (adjusted odds ratio [aOR] 1.16; 95% CI, 1.07-1.26) and COVID-19 hospitalization (aOR 1.50; 95% CI, 1.18-1.91). In comparison with habitual sleep duration of 7-8 hours, sleep durations <7 hours (aOR 1.14; 95% CI, 1.06-1.23) and sleep duration of 12 hours (aOR 1.61; 95% CI, 1.12-2.31) were associated with increased odds of COVID-19 infection. Overall, the relationship between COVID-19 infection and hours of sleep followed a quadratic (U-shaped) pattern. No association between sleep duration and COVID-19 hospitalization was observed. CONCLUSION In a general population sample, poor sleep quality and extremes of sleep duration are associated with greater odds of having had a COVID-19 infection; poor sleep quality was associated with an increased requirement of hospitalization for severe COVID-19 illness. These observations suggest that inclusion of healthy sleep practices in public health messaging may reduce the impact of the COVID-19 pandemic.
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Affiliation(s)
- Stuart F Quan
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Mass; Division of Sleep Medicine.
| | - Matthew D Weaver
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Mass; Division of Sleep Medicine
| | - Mark É Czeisler
- Francis Weld Peabody Society, Harvard Medical School, Boston, Mass; School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia; Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
| | - Laura K Barger
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Mass; Division of Sleep Medicine
| | - Lauren A Booker
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia; University Department of Rural Health, La Trobe Rural Health School, La Trobe University, Bendigo, Victoria, Australia
| | - Mark E Howard
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia; Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia; Department of Medicine, The University of Melbourne, Victoria, Australia
| | - Melinda L Jackson
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia; Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
| | - Rashon I Lane
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Mass
| | - Christine F McDonald
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia; Department of Medicine, The University of Melbourne, Victoria, Australia; Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Victoria, Australia; Faculty of Medicine, Monash University, Melbourne, Victoria, Australia
| | - Anna Ridgers
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia; Department of Medicine, The University of Melbourne, Victoria, Australia; Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Victoria, Australia
| | - Rebecca Robbins
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Mass; Division of Sleep Medicine
| | - Prerna Varma
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
| | - Joshua F Wiley
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
| | - Shantha M W Rajaratnam
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Mass; Division of Sleep Medicine; School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia; Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Mass; Division of Sleep Medicine
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Pan XB, Wang HX, Cao YJ, Liu YY. Secular Trends in Sleep Conditions in Chinese Elderly Individuals: A National Population-Based Study. Nat Sci Sleep 2023; 15:555-566. [PMID: 37441269 PMCID: PMC10335309 DOI: 10.2147/nss.s416084] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
Purpose As one of the most rapidly aging countries in the world, the elderly population is expected to reach over 400 million in China by 2032. Many studies have suggested a positive association between sleep duration and adverse health events among elderly individuals. This study aimed to investigate the sleep conditions of Chinese elderly individuals between 2005 and 2018. Patients and methods Data for 53,013 elderly individuals were taken from five cycles of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) during 2005-2018. Sex- and age-specific means and 95% confidence intervals (95% CIs) were used to estimate sleep duration trends. Changes in sleep patterns were explored during this period. The prevalence of short and long sleep durations was assessed and age-standardized by the 2010 census. Finally, self-reported sleep quality was used to determine sleep conditions from another perspective among elderly individuals. Results The mean sleep duration decreased from 7.87 (95% CI: 7.83-7.91) to 7.29 (95% CI: 7.25-7.33) hours between 2005 and 2018. Changes in sleep duration patterns were found during the study period. The proportion of the elderly population who slept ≤6 hours increased and that of those who slept ≥9 hours decreased noticeably over the past 13 years. The age-standardized prevalence of short sleep duration increased from 32.7% (95% CI: 32.7-32.9%) to 38.4% (95% CI: 38.3-38.5%). A significant decrease was observed in the prevalence of long sleep duration. Conclusion Sleep conditions are gradually shifting toward a shorter sleep duration and poorer sleep quality among Chinese elderly individuals.
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Affiliation(s)
- Xing-Bing Pan
- Performance Appraisal Office, Children’s Hospital of Hebei Province, Shijiazhuang, People’s Republic of China
| | - Hong-Xia Wang
- Department of Obstetrics and Gynecology, The Fourth Hospital of Hebei Medical University/The Tumour Hospital of Hebei Province, Shijiazhuang, People’s Republic of China
| | - Ya-Jing Cao
- Institutes for Non-Communicable Chronic Diseases Control and Prevention, Hebei Provincial Centre for Disease Control and Prevention, Shijiazhuang, People’s Republic of China
| | - Yan-Yu Liu
- Cancer Institute, The Fourth Hospital of Hebei Medical University/The Tumour Hospital of Hebei Province, Shijiazhuang, People’s Republic of China
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Wühl E, Calpe J, Drożdż D, Erdine S, Fernandez-Aranda F, Hadjipanayis A, Hoyer PF, Jankauskiene A, Jiménez-Murcia S, Litwin M, Mancia G, Mazur A, Pall D, Seeman T, Sinha MD, Simonetti G, Stabouli S, Lurbe E. Joint statement for assessing and managing high blood pressure in children and adolescents: Chapter 2. How to manage high blood pressure in children and adolescents. Front Pediatr 2023; 11:1140617. [PMID: 37124176 PMCID: PMC10130632 DOI: 10.3389/fped.2023.1140617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/20/2023] [Indexed: 05/02/2023] Open
Abstract
The joint statement is a synergistic action between HyperChildNET and the European Academy of Pediatrics about the diagnosis and management of hypertension in youth, based on the European Society of Hypertension Guidelines published in 2016 with the aim to improve its implementation. Arterial hypertension is not only the most important risk factor for cardiovascular morbidity and mortality, but also the most important modifiable risk factor. Early hypertension-mediated organ damage may already occur in childhood. The duration of existing hypertension plays an important role in risk assessment, and structural and functional organ changes may still be reversible or postponed with timely treatment. Therefore, appropriate therapy should be initiated in children as soon as the diagnosis of arterial hypertension has been confirmed and the risk factors for hypertension-mediated organ damage have been thoroughly evaluated. Lifestyle measures should be recommended in all hypertensive children and adolescents, including a healthy diet, regular exercise, and weight loss, if appropriate. If lifestyle changes in patients with primary hypertension do not result in normalization of blood pressure within six to twelve months or if secondary or symptomatic hypertension or hypertension-mediated organ damage is already present, pharmacologic therapy is required. Regular follow-up to assess blood pressure control and hypertension-mediated organ damage and to evaluate adherence and side effects of pharmacologic treatment is required. Timely multidisciplinary evaluation is recommended after the first suspicion of hypertension. A grading system of the clinical evidence is included.
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Affiliation(s)
- Elke Wühl
- Division of Pediatric Nephrology, Center for Pediatric and Adolescent Medicine, Heidelberg University Hospital, Heidelberg, Germany
- Correspondence: Elke Wühl Empar Lurbe Adamos Hadjipanayis
| | | | - Dorota Drożdż
- Department of Pediatric Nephrology and Hypertension, Pediatric Institute, Jagiellonian University Medical College, Cracow, Poland
| | - Serap Erdine
- Istanbul University-Cerrahpaşa, Cerrahpaşa Faculty of Medicine, Istanbul, Turkey
| | - Fernando Fernandez-Aranda
- University Hospital of Bellvitge-IDIBELL and Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
- CIBER Fisiopatología de Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Adamos Hadjipanayis
- School of Medicine, European University Cyprus, Nicosia, Cyprus
- Department of Paediatrics, Larnaca General Hospital, Larnaca, Cyprus
- Correspondence: Elke Wühl Empar Lurbe Adamos Hadjipanayis
| | - Peter F. Hoyer
- Klinik für Kinderheilkunde II, Zentrum für Kinder und Jugendmedizin, Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Germany
| | - Augustina Jankauskiene
- Pediatric Center, Institute of Clinical Medicine, Vilnius University, Vilnius, Lithuania
| | - Susana Jiménez-Murcia
- University Hospital of Bellvitge-IDIBELL and Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
- CIBER Fisiopatología de Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Mieczysław Litwin
- Department of Nephrology and Arterial Hypertension, The Children's Memorial Health Institute, Warsaw, Poland
| | | | - Artur Mazur
- Institute of Medical Sciences, Medical College, Rzeszów University, Rzeszow, Poland
| | - Denes Pall
- Department of Medical Clinical Pharmacology and Department of Medicine, University of Debrecen, Debrecen, Hungary
| | - Tomas Seeman
- Division of Pediatric Nephrology, UniversityChildren's Hospital, Charles University, Prague, Czech Republic
- Department of Pediatrics, University Hospital Ostrava, Ostrava, Czech Republic
| | - Manish D. Sinha
- Department of Pediatric Nephrology, Evelina London Children's Hospital, Guys and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Giacomo Simonetti
- Institute of Pediatrics of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Bellinzona, Switzerland
| | - Stella Stabouli
- 1st Department of Pediatrics, Aristotle University of Thessaloniki, Hippokratio General Hospital of Thessaloniki, Thessaloniki, Greece
| | - Empar Lurbe
- CIBER Fisiopatología de Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Pediatric, Consorcio Hospital General, University of Valencia, Valencia, Spain
- Correspondence: Elke Wühl Empar Lurbe Adamos Hadjipanayis
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Sleep Loss Influences the Interconnected Brain-Body Regulation of Cardiovascular Function in Humans. Psychosom Med 2023; 85:34-41. [PMID: 36417580 DOI: 10.1097/psy.0000000000001150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Poor sleep is associated with hypertension, a major risk factor for cardiovascular disease. However, the mechanism(s) through which sleep loss affects cardiovascular health remains largely unknown, including the brain and body systems that regulate vascular function. METHODS Sixty-six healthy adults participated in a repeated-measures, crossover, experimental study involving assessments of cardiovascular function and brain connectivity after a night of sleep and a night of sleep deprivation. RESULTS First, sleep deprivation significantly increased blood pressure-both systolic and diastolic. Interestingly, this change was independent of any increase in heart rate, inferring a vasculature-specific rather than direct cardiac pathway. Second, sleep loss compromised functional brain connectivity within the vascular control network, specifically the insula, anterior cingulate, amygdala, and ventral and medial prefrontal cortices. Third, sleep loss-related changes in brain connectivity and vascular tone were not independent, but significantly interdependent, with changes within the vascular control brain network predicting the sleep-loss shift toward hypertension. CONCLUSIONS These findings establish an embodied framework in which sleep loss confers increased risk of cardiovascular disease through an impact upon central brain control of vascular tone, rather than a direct impact on accelerated heart rate itself.
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Huang JF, Zhang DY, Sheng CS, An DW, Li M, Cheng YB, Guo QH, Wang Y, Wang JG, Li Y. Isolated nocturnal hypertension in relation to host and environmental factors and clock genes. J Clin Hypertens (Greenwich) 2022; 24:1255-1262. [PMID: 35942908 PMCID: PMC9581097 DOI: 10.1111/jch.14532] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/09/2022] [Accepted: 04/11/2022] [Indexed: 12/20/2022]
Abstract
Isolated nocturnal hypertension (INH) is a special type of out-of-office hypertension. Its determinants and pathophysiology remain unclear. In a nested case-control study, we intend to investigate the host, environmental, and genetic factors in relation to INH. Among 2030 outpatients screened from December 2008 till June 2015, 128 patients with INH were identified, and then 128 normotensives were matched according to sex and age. INH was an elevated nocturnal blood pressure (BP ≥120/70 mmHg) in the presence of a normal daytime BP (< 135/85 mmHg). Host factors included age, sex, body mass index, smoking and drinking, sleep time and duration, heart rate, serum lipids, and serum creatinine. Environmental cues encompassed season, ambient temperature, atmospheric pressure, humidity, and wind speed, and genetic cues 29 single-nucleotide polymorphisms (SNPs) in 12 clock genes. Daytime and nighttime BPs averaged 124.9/80.7 and 114.5/73.7 mmHg, respectively, in the INH patients and 121.0/76.5 and 101.8/63.3 mmHg in the normotensive controls. Stepwise logistic regression analyses revealed that INH was associated with nighttime heart rate (P = .0018), sleep duration (P = .0499), and relative humidity (P = .0747). The odds ratios (95% CI) for each 10 beats/min faster nighttime heart rate and 10% lower relative humidity were 1.82 (1.25-2.65) and 0.82 (0.67-1.00), respectively. Irrespective of the genetic models, no significant association was observed between INH and the SNPs (P ≥ .054). In conclusion, INH was associated with host and environmental factors rather than genetic markers.
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Affiliation(s)
- Jian-Feng Huang
- Department of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Dong-Yan Zhang
- Department of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Chang-Sheng Sheng
- Department of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - De-Wei An
- Department of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mingxuan Li
- Department of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yi-Bang Cheng
- Department of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qian-Hui Guo
- Department of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ying Wang
- Department of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ji-Guang Wang
- Department of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yan Li
- Department of Cardiovascular Medicine, Shanghai Key Laboratory of Hypertension, Shanghai Institute of Hypertension, State Key Laboratory of Medical Genomics, National Research Centre for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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Lloyd-Jones DM, Allen NB, Anderson CAM, Black T, Brewer LC, Foraker RE, Grandner MA, Lavretsky H, Perak AM, Sharma G, Rosamond W. Life's Essential 8: Updating and Enhancing the American Heart Association's Construct of Cardiovascular Health: A Presidential Advisory From the American Heart Association. Circulation 2022; 146:e18-e43. [PMID: 35766027 PMCID: PMC10503546 DOI: 10.1161/cir.0000000000001078] [Citation(s) in RCA: 1247] [Impact Index Per Article: 415.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
In 2010, the American Heart Association defined a novel construct of cardiovascular health to promote a paradigm shift from a focus solely on disease treatment to one inclusive of positive health promotion and preservation across the life course in populations and individuals. Extensive subsequent evidence has provided insights into strengths and limitations of the original approach to defining and quantifying cardiovascular health. In response, the American Heart Association convened a writing group to recommend enhancements and updates. The definition and quantification of each of the original metrics (Life's Simple 7) were evaluated for responsiveness to interindividual variation and intraindividual change. New metrics were considered, and the age spectrum was expanded to include the entire life course. The foundational contexts of social determinants of health and psychological health were addressed as crucial factors in optimizing and preserving cardiovascular health. This presidential advisory introduces an enhanced approach to assessing cardiovascular health: Life's Essential 8. The components of Life's Essential 8 include diet (updated), physical activity, nicotine exposure (updated), sleep health (new), body mass index, blood lipids (updated), blood glucose (updated), and blood pressure. Each metric has a new scoring algorithm ranging from 0 to 100 points, allowing generation of a new composite cardiovascular health score (the unweighted average of all components) that also varies from 0 to 100 points. Methods for implementing cardiovascular health assessment and longitudinal monitoring are discussed, as are potential data sources and tools to promote widespread adoption in policy, public health, clinical, institutional, and community settings.
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Schiffrin EL. From the Editor-in-Chief: Issue at a Glance. Am J Hypertens 2022; 35:1-2. [PMID: 34986217 DOI: 10.1093/ajh/hpab174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Ernesto L Schiffrin
- Lady Davis Institute for Medical Research, and Department of Medicine, Sir Mortimer B. Davis, Jewish General Hospital, McGill University, 3755 Côte-Ste-Catherine Rd., Montreal, Quebec, H3T 1E2, Canada
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Dejenie TA, G/Medhin MT, Admasu FT, Adella GA, Enyew EF, Kifle ZD, Seid MA, Mengstie MA, Abebe EC. Impact of objectively-measured sleep duration on cardiometabolic health: A systematic review of recent evidence. Front Endocrinol (Lausanne) 2022; 13:1064969. [PMID: 36601010 PMCID: PMC9806213 DOI: 10.3389/fendo.2022.1064969] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022] Open
Abstract
Cardiometabolic disease is a spectrum of diseases including, cardiovascular diseases, and metabolic syndrome. It is the leading cause of morbidity and mortality worldwide, with premature deaths being preventable. Currently, sleep has emerged as a potential target for cardiometabolic disease prevention. Several epidemiological studies have provided ample evidence that objectively measured short sleep duration increases the risk of cardiometabolic disease. However, the findings are inconsistent, and few studies measure sleep duration on cardiometabolic profiles objectively. Therefore, in this review, we focused on the recently published literature that explored the association between objectively measured sleep duration and cardiometabolic profiles (cardiovascular diseases, type 2 diabetes mellitus, and metabolic syndrome), seeking more insights regarding the applicability and, in turn, the impact of objectively measured sleep duration on cardiometabolic health, which is relatively understudied. We retrieved the information manually from PubMed, Google Scholar, HINARI, and the Cochrane Library from 2015 to 2022 using appropriate search terms, we included 49 articles. In this review, we found a strong relationship between objectively measured sleep duration and the risk of cardiometabolic disease, indicating that objectively measured short sleep durations increase cardiometabolic risks. In general, the association between objectively measured sleep duration and increased cardiometabolic risks (CMR) has been well-documented in higher-income countries. Several studies found that longer sleep duration was associated with a more favorable cardiometabolic profile in early adolescence, independent of other risk factors. On the other hand, objectively measured short sleep duration is associated with adverse cardiometabolic health outcomes such as coronary heart disease, hypertension, type 2 diabetes mellitus, and metabolic syndrome.
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Affiliation(s)
- Tadesse Asmamaw Dejenie
- Department of Biochemistry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Markeshaw Tiruneh G/Medhin
- Department of Biochemistry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Fitalew Tadele Admasu
- Department of Biochemistry, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
| | - Getachew Asmare Adella
- Department of Reproductive health and nutrition, School of public health, Woliata Sodo University, Woliata Sodo, Ethiopia
| | - Engidaw Fentahun Enyew
- Department of Human Anatomy, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Zemene Demelash Kifle
- Department of Pharmacology, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mohammed Abdu Seid
- Department of Physiology, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
| | - Misganaw Asmamaw Mengstie
- Department of Biochemistry, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
| | - Endeshaw Chekol Abebe
- Department of Biochemistry, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
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