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Greenlund IM, Kantas D, Prakash SS, Bock JM, Covassin N, Somers VK. Nocturnal Hemodynamics in Somali Americans: Implications for Cardiovascular Risk. Am J Nephrol 2024:1-9. [PMID: 39182475 DOI: 10.1159/000540987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 08/15/2024] [Indexed: 08/27/2024]
Abstract
INTRODUCTION Cardiovascular health disparities are present within several minority communities, but it is unclear if such disparities are present in a growing African American subpopulation, Somali Americans, who differ genetically and culturally from African Americans of Western African ancestry. Ambulatory blood pressure (BP) monitoring remains a gold standard measure to examine 24-h BP patterns to stratify cardiovascular risk profile. We sought to examine differences in the 24-h BP profile in a sample of young Somali Americans and compare their BP patterns to White study participants. We hypothesized that their BP and heart rate (HR) would be higher compared to closely matched White participants. METHODS We recruited 50 participants (25 Somali) in whom BP recordings were obtained every 20 min throughout the entire 24-h monitoring period to quantify BP, HR, and ambulatory arterial stiffness. Daytime BP/HR was quantified between 10:00 a.m. and 8:00 p.m., and nighttime BP/HR was assessed between 12:00 a.m. and 6:00 a.m. RESULTS Daytime BP and HR were similar between racial groups (p > 0.05). Nighttime BP was similar between groups (p > 0.05), but Somali American individuals exhibited a higher nocturnal HR compared to White participants (p = 0.013). Nocturnal dipping in diastolic BP and HR dipping was attenuated in Somali Americans compared to White adults (p = 0.038, 0.007). Somali participants also had higher ambulatory arterial stiffness (p = 0.045). CONCLUSION Twenty four-hour hemodynamics, specifically ambulatory arterial stiffness, nocturnal BP, and nocturnal HR, differ in young Somali Americans compared to White adults. These findings provide new insight into potential cardiovascular health disparities and future cardiovascular risk within the burgeoning Somali American community.
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Affiliation(s)
- Ian M Greenlund
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA,
| | - Dimitrios Kantas
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Department of Pulmonary and Critical Care, Mayo Clinic, Rochester, Minnesota, USA
| | - Sakthi Surya Prakash
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Department of Internal Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | - Joshua M Bock
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Naima Covassin
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Virend K Somers
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
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D'agata MN, Hoopes EK, Keiser T, Patterson F, Szymanski KM, Matias AA, Brewer BC, Witman MA. Device-estimated sleep metrics do not mediate the relation between race and blood pressure dipping in young black and white women. J Clin Hypertens (Greenwich) 2024; 26:850-860. [PMID: 38923277 PMCID: PMC11232447 DOI: 10.1111/jch.14856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/01/2024] [Accepted: 05/17/2024] [Indexed: 06/28/2024]
Abstract
Short, disturbed, and irregular sleep may contribute to blunted nocturnal blood pressure (BP) dipping, a predictor of cardiovascular disease. Black women (BLW) demonstrate less BP dipping and poorer sleep health than White women (WHW). However, it remains unclear whether device-estimated sleep health metrics mediate the relation between race and BP dipping in young women. We hypothesized that the relation between race and BP dipping would be partly mediated by sleep health metrics of sleep duration, sleep efficiency, and sleep regularity. Participants (20 BLW, 17 WHW) were 18-29 years old, normotensive, nonobese, and without evidence of sleep disorders. Systolic and diastolic BP dipping were derived from 24-h ambulatory BP monitoring. Habitual sleep duration and sleep efficiency were estimated via 14 days of wrist actigraphy. Sleep duration regularity was calculated as the standard deviation (SD) of nightly sleep duration (SDSD). Sleep timing regularity metrics were calculated as the SD of sleep onset and sleep midpoint (SMSD). Mediation analysis tested the mediating effect of each sleep metric on the relation between race and BP dipping. BLW experienced less systolic (P = .02) and diastolic (P = .01) BP dipping. Sleep duration (P = .14) was not different between groups. BLW had lower sleep efficiency (P < .01) and higher SDSD (P = .02), sleep onset SD (P < .01) and SMSD (P = .01). No sleep metrics mediated the relation between race and BP dipping (all indirect effects P > .38). In conclusion, mediation pathways of sleep health metrics do not explain racial differences in nocturnal BP dipping between young BLW and WHW.
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Affiliation(s)
- Michele N. D'agata
- Department of Kinesiology and Applied PhysiologyCollege of Health SciencesUniversity of DelawareNewarkDelawareUSA
| | - Elissa K. Hoopes
- Department of Health Behavior and Nutrition SciencesCollege of Health SciencesUniversity of DelawareNewarkDelawareUSA
| | - Thomas Keiser
- Department of Health Behavior and Nutrition SciencesCollege of Health SciencesUniversity of DelawareNewarkDelawareUSA
| | - Freda Patterson
- Department of Health Behavior and Nutrition SciencesCollege of Health SciencesUniversity of DelawareNewarkDelawareUSA
| | - Krista M. Szymanski
- Department of Kinesiology and Applied PhysiologyCollege of Health SciencesUniversity of DelawareNewarkDelawareUSA
| | - Alexs A. Matias
- Department of Kinesiology and Applied PhysiologyCollege of Health SciencesUniversity of DelawareNewarkDelawareUSA
| | - Benjamin C. Brewer
- Department of EpidemiologyCollege of Health SciencesUniversity of DelawareNewarkDelawareUSA
| | - Melissa A. Witman
- Department of Kinesiology and Applied PhysiologyCollege of Health SciencesUniversity of DelawareNewarkDelawareUSA
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Xu P, Wei Y, Wu H, Zhang L. Genetic associations between Rapid Eye Movement (REM) sleep behavior disorder and cardiovascular diseases. PLoS One 2024; 19:e0301112. [PMID: 38771893 PMCID: PMC11108173 DOI: 10.1371/journal.pone.0301112] [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: 09/26/2023] [Accepted: 03/11/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND Previous studies revealed that sleep disorders are potential risk factors for cardiovascular diseases, such as obstructive sleep apnea and rapid eye movement (REM) sleep behavior disorder (RBD). However, the causal associations between RBD and cardiovascular diseases remained unknown. MATERIALS AND METHODS We used the latest and largest summary-level genome-wide association studies of RBD, stroke and its subtypes, coronary artery disease (CAD), myocardial infarction (MI), and heart failure (HF) to select genetic variants as the instrumental variables. Mendelian randomization (MR) analysis was performed to test the causal associations between RBD and the cardiovascular diseases above. Inverse variance weighted method was used as the main analysis. RESULTS After multiple comparisons, genetically predicted RBD was significantly associated with the risk of HF [odds ratio (OR) = 1.033, 95% CI 1.013-1.052, p = 0.001]. Leave-one-out analysis further supported the robustness of the causal association. Furthermore, we identified a suggestive association between genetically predicted MI and RBD (OR = 0.716, 95% CI 0.546-0.940, p = 0.016). However, in our study no associations were identified of RBD with CAD or stroke and its subtypes. CONCLUSION Our study highlighted the potential associations between RBD and cardiovascular diseases at genetic level, including HF and MI. More studies were required to clarify the biological mechanisms involved the associations.
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Affiliation(s)
- Pengfei Xu
- Department of Neurosurgery, Nanyang Central Hospital, Nanyang, Henan, China
| | - Yitong Wei
- Department of Neurosurgery, Nanyang Central Hospital, Nanyang, Henan, China
| | - Haibo Wu
- Department of Neurology, Nanyang Central Hospital, Nanyang, Henan, China
| | - Li Zhang
- Department of Neurology, Nanyang Central Hospital, Nanyang, Henan, China
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Kleiber K, Smith CJ, Beck SD, Hege A, Corgan M, West CA, Hunnicutt L, Collier SR. Familiarization with ambulatory sleep and blood pressure monitoring is necessary for representative data collection. Physiol Rep 2023; 11:e15843. [PMID: 37864278 PMCID: PMC10589396 DOI: 10.14814/phy2.15843] [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: 06/29/2023] [Revised: 09/26/2023] [Accepted: 10/05/2023] [Indexed: 10/22/2023] Open
Abstract
Ambulatory sleep and blood pressure monitoring are gaining popularity as these can be completed in an individual's home. Little is known regarding the reliability of data and the time it takes to acclimate to the equipment. This study aimed to determine how many nights of wearing the monitoring equipment were required to restore sleep architecture and blood pressure data to baseline. It was hypothesized familiarization would be demonstrated by night 3. Ten male and 10 female subjects completed three nights of sleep and blood pressure recordings. At visit 1, the subjects were familiarized with the equipment and instructed to wear the Sleep Profiler{trade mark, serif} and SunTech Medical Oscar2 ambulatory blood pressure cuff simultaneously for three consecutive nights, then subjects returned the equipment. The percent of time spent in rapid eye-movement (REM) sleep was statistically different on night 3 when compared to night 1. Wake-after-sleep onset and sleep latency were not statistically different between nights 1, 2, and 3. Systolic, diastolic, and pulse pressure were all significantly lower on night 3 compared to night 1. Cortical and autonomic arousals were statistically different on night 3. Ambulatory sleep and blood pressure monitoring need at least 3 nights for familiarization. The percent of time spent in REM sleep was statistically different on night 3 when compared to night 1. Systolic blood pressure, diastolic blood pressure, and pulse pressure were all significantly lower on night 3 compared to night 1. Cortical and autonomic arousals were statistically different on nights 3 and 2, respectively compared to night 1. Based on these findings, ambulatory sleep and blood pressure monitoring takes three nights before the data are reliable and the person is familiarized with the mode of measurement. Therefore, it is recommended to use at least three nights of data collection when using the Sleep Profiler and Oscar2 ambulatory blood pressure cuff in order for results to be valid and reliable.
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Affiliation(s)
- Kasey Kleiber
- Department of Public Health and Exercise ScienceAppalachian State UniversityBooneNorth CarolinaUSA
| | - Caroline J. Smith
- Department of Public Health and Exercise ScienceAppalachian State UniversityBooneNorth CarolinaUSA
| | - Steven D. Beck
- Department of Public Health and Exercise ScienceAppalachian State UniversityBooneNorth CarolinaUSA
| | - Adam Hege
- Department of Public Health and Exercise ScienceAppalachian State UniversityBooneNorth CarolinaUSA
| | - Makenzie Corgan
- Department of Public Health and Exercise ScienceAppalachian State UniversityBooneNorth CarolinaUSA
| | - Crystal A. West
- Department of Public Health and Exercise ScienceAppalachian State UniversityBooneNorth CarolinaUSA
| | - Lainey Hunnicutt
- Department of Public Health and Exercise ScienceAppalachian State UniversityBooneNorth CarolinaUSA
| | - Scott R. Collier
- Department of Public Health and Exercise ScienceAppalachian State UniversityBooneNorth CarolinaUSA
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Mortazavi BJ, Martinez-Brockman JL, Tessier-Sherman B, Burg M, Miller M, Nowroozilarki Z, Adams OP, Maharaj R, Nazario CM, Nunez M, Nunez-Smith M, Spatz ES. Classification of blood pressure during sleep impacts designation of nocturnal nondipping. PLOS DIGITAL HEALTH 2023; 2:e0000267. [PMID: 37310958 PMCID: PMC10263317 DOI: 10.1371/journal.pdig.0000267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 05/03/2023] [Indexed: 06/15/2023]
Abstract
The identification of nocturnal nondipping blood pressure (< 10% drop in mean systolic blood pressure from awake to sleep periods), as captured by ambulatory blood pressure monitoring, is a valuable element of risk prediction for cardiovascular disease, independent of daytime or clinic blood pressure measurements. However, capturing measurements, including determination of wake/sleep periods, is challenging. Accordingly, we sought to evaluate the impact of different definitions and algorithms for defining sleep onset on the classification of nocturnal nondipping. Using approaches based upon participant self-reports, applied definition of a common sleep period (12 am -6 am), manual actigraphy, and automated actigraphy we identified changes to the classification of nocturnal nondipping, and conducted a secondary analysis on the potential impact of an ambulatory blood pressure monitor on sleep. Among 61 participants in the Eastern Caribbean Health Outcomes Research Network hypertension study with complete ambulatory blood pressure monitor and sleep data, the concordance for nocturnal nondipping across methods was 0.54 by Fleiss' Kappa (depending on the method, 36 to 51 participants classified as having nocturnal nondipping). Sleep quality for participants with dipping versus nondipping was significantly different for total sleep length when wearing the ambulatory blood pressure monitor (shorter sleep duration) versus not (longer sleep duration), although there were no differences in sleep efficiency or disturbances. These findings indicate that consideration of sleep time measurements is critical for interpreting ambulatory blood pressure. As technology advances to detect blood pressure and sleep patterns, further investigation is needed to determine which method should be used for diagnosis, treatment, and future cardiovascular risk.
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Affiliation(s)
- Bobak J. Mortazavi
- Department of Computer Science & Engineering, Texas A&M University, College Station, Texas, United States of America
- Center for Remote Health Technologies and Systems, Texas A&M University, College Station, Texas, United States of America
- Yale/Yale New Haven Health System Corporation Center for Outcomes Research and Evaluation, New Haven, Connecticut, United States of America
| | - Josefa L. Martinez-Brockman
- Equity Research and Innovation Center, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Baylah Tessier-Sherman
- Equity Research and Innovation Center, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Matthew Burg
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America
- Department of Anesthesiology, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Mary Miller
- Equity Research and Innovation Center, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Zhale Nowroozilarki
- Department of Computer Science & Engineering, Texas A&M University, College Station, Texas, United States of America
| | - O. Peter Adams
- Department of Family Medicine, Faculty of Medical Sciences, University of the West Indies, Cave Hill, Barbados
| | - Rohan Maharaj
- Department of Paraclinical Sciences, University of the West Indies, Saint Augustine, Trinidad
| | - Cruz M. Nazario
- Department of Biostatistics and Epidemiology, Graduate School of Public Health, University of Puerto Rico, San Juan, Puerto Rico
| | - Maxine Nunez
- School of Nursing, University of the Virgin Islands, US Virgin Islands
| | - Marcella Nunez-Smith
- Equity Research and Innovation Center, Yale School of Medicine, New Haven, Connecticut, United States of America
- Section of General Internal Medicine, Department of Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Erica S. Spatz
- Yale/Yale New Haven Health System Corporation Center for Outcomes Research and Evaluation, New Haven, Connecticut, United States of America
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America
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Forshaw PE, Correia ATL, Roden LC, Lambert EV, Rae DE. Sleep characteristics associated with nocturnal blood pressure nondipping in healthy individuals: a systematic review. Blood Press Monit 2022; 27:357-370. [PMID: 36094364 DOI: 10.1097/mbp.0000000000000619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The current literature investigating nocturnal blood pressure (BP) nondipping has largely focused on clinical populations, however, conditions such as hypertension, obstructive sleep apnoea and insomnia are recognized confounding factors for BP dipping. The exact mechanisms responsible for BP nondipping remain unclear, therefore, there is a need to investigate BP nondipping in healthy individuals to better understand the underlying mechanisms. This review identifies sleep characteristics that may contribute to BP nondipping in healthy individuals. It is anticipated that an understanding of the sleep characteristics that contribute to BP nondipping may inform future sleep-related behavioral interventions to ultimately reducing the burden of cardiovascular disease. METHODS The PubMed, Scopus and Web of Science databases were searched for relevant, English language, peer-reviewed publications (from inception to March 2022). The search identified 550 studies. After duplicates were removed, the titles and abstracts of the remaining 306 studies were screened. Of these, 250 studies were excluded leaving 56 studies to test for eligibility. Thirty-nine studies were excluded such that 17 studies fully met the inclusion criteria for the review. RESULTS Findings from this review indicate that short sleep duration, more sleep fragmentation, less sleep depth and increased variability in sleep timing may be associated with BP nondipping in healthy individuals. CONCLUSION While there is no evidence-based approach for the treatment of nocturnal BP nondipping, it seems promising that addressing one's sleep health may be an important starting point to reduce the prevalence of BP nondipping and perhaps the progression to cardiovascular disease.
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Affiliation(s)
- Philippa Eileen Forshaw
- Health through Physical Activity Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Arron Taylor Lund Correia
- Health through Physical Activity Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Laura Catherine Roden
- Health through Physical Activity Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- Centre for Sport, Exercise and Life Sciences, School of Life Sciences, Faculty of Health and Life Sciences, Coventry University, United Kingdom
| | - Estelle Victoria Lambert
- Health through Physical Activity Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Dale Elizabeth Rae
- Health through Physical Activity Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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Chin BN, Dickman KD, Koffer RE, Cohen S, Hall MH, Kamarck TW. Sleep and Daily Social Experiences as Potential Mechanisms Linking Social Integration to Nocturnal Blood Pressure Dipping. Psychosom Med 2022; 84:368-373. [PMID: 35067650 PMCID: PMC8976736 DOI: 10.1097/psy.0000000000001045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Socially integrated individuals are at lower risk of cardiovascular disease morbidity and mortality compared with their more isolated counterparts. This association may be due, in part, to the effect of social integration on nocturnal blood pressure (BP) decline or "dipping," a physiological process associated with decreased disease risk. However, the pathways linking social integration with nocturnal BP dipping are unknown. We sought to replicate the association between social integration and BP dipping, and to test whether sleep characteristics (duration, regularity, continuity) and/or daily social interactions (frequency, valence) helped to explain the association. METHODS A total of 391 healthy midlife adults completed an actigraphy assessment protocol that measured sleep. During four actigraphy assessment days, participants also completed ambulatory BP monitoring and ecological momentary assessment protocols that measured BP and social interactions at regular intervals throughout the day. Social integration was assessed via a questionnaire. RESULTS Linear regression controlling for age, sex, race, education, and body mass index indicated that higher levels of social integration were associated with greater nocturnal BP dipping, as indicated by a smaller ratio of night/day mean arterial pressure (β = -0.11, p = .031). Analyses of indirect effects suggested that this association was explained, in part, by greater sleep regularity among more integrated individuals. We did not find evidence for other hypothesized indirect effects. CONCLUSIONS This was the first study to investigate sleep and social mechanisms underlying the link between social integration and nocturnal BP dipping. Because sleep regularity is modifiable, this pathway represents a potential intervention target to promote nocturnal BP dipping.
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Affiliation(s)
- Brian N Chin
- From the Department of Psychiatry (Chin, Koffer, Hall, Kamarck) and Department of Psychology (Dickman, Hall, Kamarck), University of Pittsburgh; and Department of Psychology (Cohen), Carnegie Mellon University, Pittsburgh, Pennsylvania
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Zhao B, Jin X, Yang J, Ma Q, Yang Z, Wang W, Bai L, Ma X, Yan B. Increased Rapid Eye Movement Sleep Is Associated With a Reduced Risk of Heart Failure in Middle-Aged and Older Adults. Front Cardiovasc Med 2022; 9:771280. [PMID: 35425819 PMCID: PMC9001949 DOI: 10.3389/fcvm.2022.771280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 03/04/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives Rapid eye movement (REM) sleep is closely related to all-cause mortality. The aim of this study is to explore the role of REM sleep on the incident heart failure (HF). Methods We selected 4490 participants (2480 women and 2010 men; mean age, 63.2 ± 11.0 years) from the Sleep Heart Health Study. HF was identified as the first occurrence during a mean follow-up period of 10.9 years. REM sleep including percentage of REM sleep and total REM sleep time were monitored using in-home polysomnography at baseline. Multivariable Cox regression analysis was utilized to explore the relationship between REM sleep and HF. Results In total, 436 (9.7%) cases of HF were observed during the entire follow-up period. After adjusting for potential covariates, an increased percentage of REM sleep (per 5%) was independently associated with a reduced incidence of HF [hazard ratio (HR) 0.88, 95% confidence interval (CI) 0.82–0.94, P < 0.001]. A similar result was also found between total REM sleep time (increased per 5 min) and incident HF (HR 0.97, 95% CI 0.95–0.99, P < 0.001). Moreover, the fourth quartile of both percentage of REM sleep (HR 0.65, 95% CI 0.48–0.88, P = 0.005) and total REM sleep time (HR 0.64, 95% CI 0.45–0.90, P = 0.010) had lower risk of incident HF when compared with the first quartile. Conclusion An increased percentage of REM sleep and total REM sleep time were associated with a reduced risk of HF. REM sleep may be a predictor of the incident HF. Clinical Trial Registration [ClinicalTrials.gov], identifier [NCT00005275].
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Affiliation(s)
- Binbin Zhao
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xiaoying Jin
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Jian Yang
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Department of Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Qingyan Ma
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Zai Yang
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Wei Wang
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Ling Bai
- Department of Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Department of Cardiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xiancang Ma
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Bin Yan
- Department of Psychiatry, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Department of Clinical Research Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Bin Yan,
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Payseur DK, Belhumeur JR, Curtin LA, Moody AM, Collier SR. The effect of acute alcohol ingestion on systemic hemodynamics and sleep architecture in young, healthy men. JOURNAL OF AMERICAN COLLEGE HEALTH : J OF ACH 2022; 70:509-516. [PMID: 32369424 DOI: 10.1080/07448481.2020.1756826] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 02/12/2020] [Accepted: 04/13/2020] [Indexed: 06/11/2023]
Abstract
Objective Heightened nocturnal blood pressure (BP) may be attributed to the disruption of sleep, a condition worsened by alcohol ingestion. This study investigated the effects of acute alcohol ingestion on hemodynamics and sleep architecture in a young, healthy cohort of male. METHODS: Subjects (n = 17) underwent acute alcohol ingestion reaching a breath alcohol content of 0.08. Each subject endured a battery of hemodynamic tests and had their sleep architecture and nocturnal blood pressure monitored pre- and post-ingestion. Results: Systolic blood pressure (SBP) increased both 30 minutes and 12 hours after alcohol. Ambulatory nocturnal SBP significantly increased after alcohol compared to baseline measures. Minutes of total, rapid eye movement, and light sleep all increased after alcohol ingestion, while a decrease was observed for sleep latency. Conclusions: An acute bout of heavy alcohol consumption may attenuate nocturnal BP dipping that, in turn, may hasten the progression of hypertension-related cardiovascular disease.
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Affiliation(s)
- Daniel K Payseur
- Vascular Biology & Autonomic Studies Lab, Appalachian State University, Boone, North Carolina, USA
| | | | - Lisa A Curtin
- Department of Psychology, Appalachian State University, Boone, North Carolina, USA
| | - Anne M Moody
- Vascular Biology & Autonomic Studies Lab, Appalachian State University, Boone, North Carolina, USA
| | - Scott R Collier
- Vascular Biology & Autonomic Studies Lab, Appalachian State University, Boone, North Carolina, USA
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Chen NC, Liao KM, Tian YF, Wu YC, Wang JJ, Ho CH, Hsu CC. Risk of Stroke in Patients with Breast Cancer and Sleep Disorders. J Cancer 2021; 12:6749-6755. [PMID: 34659564 PMCID: PMC8518003 DOI: 10.7150/jca.63184] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 08/22/2021] [Indexed: 12/24/2022] Open
Abstract
Breast cancer and stroke were leading cause of cancer-related mortality in the world. Stroke is the second leading cause of death. Previous studies showed that patients with breast cancer had a relatively higher risk of sleep disorders. Sleep disorders increased the risk of stroke. The aim of our study was to examine the risk of stroke after a breast cancer with sleep disorder among women in Taiwan. The Taiwan Cancer Registry was used to identify patients with breast cancer. Patients with new-onset breast cancer from January 2007 to December 2015 were selected for this study and followed until December 31, 2017. Patients who were diagnosed with sleep disorders were set as the case group, and the controls were those without sleep disorders. We enrolled 5256 patients with sleep disorders and 10,512 patients without sleep disorders. There were 121 (2.30%) patients with ischemic stroke among the breast cancer patients with sleep disorders. The mean time from the diagnosis of breast cancer to the occurrence of ischemic stroke was 6.29±2.59 years for breast cancer patients with sleep disorders and 6.00±2.76 years for those without sleep disorders (p < 0.0001). After matching by age and index year, breast patients with sleep disorders had a 1.31-fold higher risk (95% confidence interval: 1.03-1.66; p-value=0.026) of ischemic stroke than those without sleep disorders, after adjustment for comorbidities, cancer clinical stage, and treatment types. In conclusion, Breast cancer patients with sleep disorders have an increased risk of stroke.
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Affiliation(s)
- Nan-Cheng Chen
- Department of Internal Medicine, Chi Mei Medical Center, Chiali, Tainan, Taiwan.,Department of Biotechnology and Food Technology, Southern Taiwan University of Science and Technology, Tainan, Taiwan
| | - Kuang-Ming Liao
- Department of Internal Medicine, Chi Mei Medical Center, Chiali, Tainan, Taiwan
| | - Yu-Feng Tian
- Division of Gastroenterology & General Surgery, Chi Mei Medical Center, Tainan, Taiwan.,Department of Health and Nutrition, Chia Nan University of Pharmacy and Science, Tainan, Taiwan
| | - Yu-Cih Wu
- Department of Medical Research, Chi Mei Medical Center, Tainan, Taiwan
| | - Jhi-Joung Wang
- Department of Anesthesiology, Chi Mei Medical Center, Tainan, Taiwan.,Department of Anesthesiology, National Defense Medical Center, Taipei, Taiwan
| | - Chung-Han Ho
- Department of Medical Research, Chi Mei Medical Center, Tainan, Taiwan.,Department of Information Management, Southern Taiwan University of Science and Technology, Tainan, Taiwan.,Cancer Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Chien-Chin Hsu
- Department of Biotechnology and Food Technology, Southern Taiwan University of Science and Technology, Tainan, Taiwan.,Department of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan
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11
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Defining the nocturnal period in 24-h ambulatory blood pressure monitoring: a comparison of three methods. Blood Press Monit 2021; 26:207-214. [PMID: 33470645 DOI: 10.1097/mbp.0000000000000509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES The purpose of our study was to compare three definitions of ambulatory blood pressure (BP) nocturnal period and to assess their agreement in determining nocturnal BP dipping patterns. METHODS We investigated 69 subjects with metabolic syndrome, aged 50-55 years. In all subjects, we assessed 24-h BP monitoring, electrocardiogram and actigraphy profiles. The nocturnal period was defined in three ways: as a fixed narrow nighttime period from 01:00 to 06:00, as a self-reported sleeping period and as a disappearance and onset of physical activity recorded by the actigraph. RESULTS Our study revealed a significant discrepancy between the self-reported and actigraphy-based nocturnal periods (P < 0.001). In addition, different definitions of the nighttime yielded significant differences in determining nondipping, extreme dipping and dipping BP patterns, the identification of the latter being affected the most. The actigraphy-based approach best aligned with the fixed-time determination of the nocturnal period: Cohen's kappa coefficient for the nondipping pattern was 0.78 (0.58-1), for the dipping pattern 0.75 (0.59-0.91) and for the extreme dipping pattern 0.81 (0.65-0.97). In comparison to the self-reported determination of the nocturnal period, using the actigraphy-based approach resulted in reclassifying the nocturnal BP pattern in 20.3% of subjects. CONCLUSIONS The lack of agreement between fixed-time, self-reported and actigraphy-based determinations of the nighttime period affects the identification of the nocturnal BP patterns. In comparison to the self-reported nocturnal period estimation, the actigraphy-based approach results in the reclassification of BP dipping status in every fifth subject.
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Abstract
AIMS Nondipping blood pressure (BP) is associated with higher risk for hypertension and advanced target organ damage. Insomnia is the most common sleep complaint in the general population. We sought to investigate the association between sleep quality and insomnia and BP nondipping cross-sectionally and longitudinally in a large, community-based sample. METHODS A subset of the Wisconsin Sleep Cohort (n = 502 for cross-sectional analysis and n = 260 for longitudinal analysis) were enrolled in the analysis. Polysomnography measures were used to evaluate sleep quality. Insomnia symptoms were obtained by questionnaire. BP was measured by 24-h ambulatory BP monitoring. Logistic regression models estimated cross-sectional associations of sleep quality and insomnia with BP nondipping. Poisson regression models estimated longitudinal associations between sleep quality and incident nondipping over a mean 7.4 years of follow-up. Systolic and diastolic nondipping were examined separately. RESULTS In cross-sectional analyses, difficulty falling asleep, longer waking after sleep onset, shorter and longer total sleep time, lower sleep efficiency and lower rapid eye movement stage sleep were associated with higher risk of SBP and DBP nondipping. In longitudinal analyses, the adjusted relative risks (95% confidence interval) of incident systolic nondipping were 2.1 (1.3-3.5) for 1-h longer waking after sleep onset, 2.1 (1.1-5.1) for 7-8 h total sleep time, and 3.7 (1.3-10.7) for at least 8-h total sleep time (compared with total sleep time 6-7 h), and 1.9 (1.1-3.4) for sleep efficiency less than 0.8, respectively. CONCLUSION Clinical features of insomnia and poor sleep quality are associated with nondipping BP. Our findings suggested nondipping might be one possible mechanism by which poor sleep quality was associated with worse cardiovascular outcomes.
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13
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Cheng D, Tang Y, Li H, Li Y, Sang H. Nighttime blood pressure decline as a predictor of renal injury in patients with hypertension: a population-based cohort study. Aging (Albany NY) 2020; 11:4310-4322. [PMID: 31276448 PMCID: PMC6660036 DOI: 10.18632/aging.101873] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 03/10/2019] [Indexed: 01/02/2023]
Abstract
We explored whether the nighttime blood pressure (BP) decline predicts renal function decline in a population-based cohort with primary hypertension. We measured the baseline ambulatory BP and glomerular filtration rate (GFR) in a cohort of 1,042 primary hypertensive patients. We repeated the GFR measurements and calculated the rate of GFR decline after a median follow-up of 5.8 years. The estimated GFR (eGFR) declined by -0.23 to -0.20 mL/min per year as the nighttime systolic BP (SBP), diastolic BP (DBP), and mean BP decline rates increased by 1% (P < 0.001). In the fully adjusted model, the nighttime SBP, DBP, and mean BP were all related to a steeper rate of eGFR decline by -0.25 to -0.22 mL/min per 1% increase. The adjusted multivariable results indicated that the odds of an eGFR decline were reduced by 46% when the nighttime SBP decline rate increased by 1% (OR= 0.54, 95% CI: 0.46-0.62). The restricted cubic spline model indicated a non-linear dose-response relationship with the nighttime SBP, DBP, and mean BP. Nighttime BP may be an important biomarker of renal function injury in hypertensive patients.
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Affiliation(s)
- Dong Cheng
- Department of Cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
| | - Yi Tang
- Department of Cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
| | - Haiyu Li
- Department of Cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
| | - Yunpeng Li
- Department of Cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
| | - Haiqiang Sang
- Department of Cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
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14
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Zhang J, Jin X, Li R, Gao Y, Li J, Wang G. Influence of rapid eye movement sleep on all-cause mortality: a community-based cohort study. Aging (Albany NY) 2020; 11:1580-1588. [PMID: 30867337 PMCID: PMC6428105 DOI: 10.18632/aging.101858] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Accepted: 03/06/2019] [Indexed: 12/24/2022]
Abstract
Introduction: Although the proportion and duration of rapid eye movement (REM) sleep are correlated with neurological and cardiovascular diseases, whether REM sleep is associated with all-cause mortality in community-based populations remains unknown. Methods: A prospective study was performed within the Sleep Heart Health Study (SHHS, Registration NO. NCT00005275). Total sleep time, sleep efficiency, and REM sleep were measured using polysomnography. Cox proportional hazards regression models were used to estimate the association of the REM sleep with all-cause mortality. Results: Over a mean follow-up period of 11.0 ± 3.1 y, 1234 individuals (21.9%) died. In the entire population, reduced REM sleep was significantly associated with increasing all-cause mortality. After adjustment for age, sex, race, body mass index, smoking status, total cholesterol, triglycerides, high-density lipoprotein, history of diabetes and hypertension, and the apnea–hypopnea index, the duration and proportion of REM sleep were found to be significantly associated with all-cause mortality when the lowest and the highest REM quartile groups were compared (hazard ratio, 95% confidence interval: 1.727, 1.434-2.079; 1.545, 1.298-1.839; respectively). Conclusion: The proportion and duration of REM sleep are negatively associated with all-cause mortality. This finding emphasizes the importance of personalized sleep management in community-based populations.
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Affiliation(s)
- Jingjing Zhang
- Department of Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Xuting Jin
- Department of Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Ruohan Li
- Department of Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Ya Gao
- Department of Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Jiamei Li
- Department of Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Gang Wang
- Department of Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
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St-Onge MP, Campbell A, Aggarwal B, Taylor JL, Spruill TM, RoyChoudhury A. Mild sleep restriction increases 24-hour ambulatory blood pressure in premenopausal women with no indication of mediation by psychological effects. Am Heart J 2020; 223:12-22. [PMID: 32135337 DOI: 10.1016/j.ahj.2020.02.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 02/06/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND Studies assessing the impact of sleep restriction (SR) on blood pressure (BP) are limited by short study length, extreme SR (<4 hours a night), and lack of attention to psychological distress as a possible mediator. METHODS A community-based cohort was assembled with 237 women (age 34.1 ± 13.5 years; body mass index 25.4 ± 5.4 kg/m2), and a randomized, crossover, intervention study was conducted in 41 women (24 completed: age 30.2 ± 6.5 years; body mass index 24.3 ± 2.8 kg/m2) to determine the causal effect of SR on BP. Sleep was maintained as usual (HS) or reduced by 1.5 hours a night (SR) for 6 weeks. In the cohort, associations between sleep and psychosocial factors were evaluated using multivariable models adjusted for demographic and clinical confounders. In the intervention study, in-office BP was measured weekly; ambulatory BP was measured at end point. Psychological factors were assessed at baseline and end point. Mixed-model analyses with total sleep time (TST, main predictor), week and fraction of time spent in physical activity (covariates), and subject (random effect) were performed. RESULTS Among the community cohort, higher perceived stress, stressful events and distress, and lower resilience were associated with shorter sleep, worse sleep quality, and greater insomnia symptoms (P < .05). In the intervention, systolic BP increased as TST decreased (TST × week interaction, [coefficient ± standard error] -0.0097 ± 0.0046, P = .036). Wake ambulatory diastolic blood pressure (-0.059 ± 0.022, P = .021) and mean arterial pressure (-0.067 ± 0.023, P = .018) were higher after SR versus HS. Psychological distress variables were not affected by TST and did not mediate the effects of SR on BP. CONCLUSIONS These results suggest that SR influences CVD risk in women via mechanisms independent of psychological stressors.
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Affiliation(s)
- Marie-Pierre St-Onge
- Sleep center of excellence, Department of Medicine, Columbia University Irving Medical Center, New York, NY; Institute of Human Nutrition, Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY.
| | - Ayanna Campbell
- Sleep center of excellence, Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Brooke Aggarwal
- Sleep center of excellence, Department of Medicine, Columbia University Irving Medical Center, New York, NY
| | - Jasmine L Taylor
- Institute of Human Nutrition, Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY; Tulane Medical Center, New Orleans, LA
| | - Tanya M Spruill
- Department of Population Health, NYU School of Medicine, New York, NY
| | - Arindam RoyChoudhury
- Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Cornell Medicine, Cornell University, New York, NY
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16
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Oreschak K, Wolfel EE, Saba LM, Ambardekar AV, Lindenfeld J, Aquilante CL. Relationship between nocturnal blood pressure patterns and end organ damage and diastolic dysfunction in heart transplant recipients. Clin Transplant 2020; 34:e13842. [PMID: 32090364 DOI: 10.1111/ctr.13842] [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: 12/05/2019] [Revised: 02/09/2020] [Accepted: 02/20/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND We assessed the relationship between circadian blood pressure (BP) patterns and clinical outcomes in a contemporary cohort of adult heart transplant recipients. METHODS This retrospective, cross-sectional study included adult heart transplant recipients at least 6 months post-transplant. Ambulatory BP measurements were recorded over 24 hours. Nondippers were defined as a decline in average nighttime BP ≤ 10% compared with daytime. Primary outcomes were the presence of end organ damage, that is, microalbuminuria, chronic kidney disease, and/or left ventricular hypertrophy. Secondary outcomes were measures of diastolic dysfunction (ie, mitral valve deceleration time, e/e', E/A, and isovolumetric relaxation time), microalbumin/creatinine ratio, eGFR, interventricular septal thickness, and left ventricular posterior wall thickness. RESULTS Of 30 patients, 53.3% (n = 16) were systolic nondippers and 40% (n = 12) were diastolic nondippers. Diastolic nondippers had three times higher urine microalbumin/creatinine ratios than diastolic dippers (P = .03). Systolic nondippers had 16.3% lower mitral valve deceleration time (P = .05) than systolic dippers, while diastolic nondippers had 20.4% higher e/e' (P = .05) than diastolic dippers. There were no significant relationships between BP dipping status and any of the primary outcomes. CONCLUSIONS These data suggest that systolic and diastolic nondipping BP patterns are associated with subclinical kidney damage and diastolic dysfunction in heart transplant recipients.
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Affiliation(s)
- Kris Oreschak
- Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO, USA
| | - Eugene E Wolfel
- Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Laura M Saba
- Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO, USA
| | - Amrut V Ambardekar
- Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - JoAnn Lindenfeld
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christina L Aquilante
- Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO, USA
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Troxel WM, Haas A, Ghosh-Dastidar B, Holliday SB, Richardson AS, Schwartz H, Gary-Webb TL, Hale L, Buysse DJ, Buman MP, Dubowitz T. Broken Windows, Broken Zzs: Poor Housing and Neighborhood Conditions Are Associated with Objective Measures of Sleep Health. J Urban Health 2020; 97:230-238. [PMID: 31993870 PMCID: PMC7101456 DOI: 10.1007/s11524-019-00418-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
African Americans and socioeconomically disadvantaged individuals have higher rates of a variety of sleep disturbances, including short sleep duration, poor sleep quality, and fragmented sleep. Such sleep disturbances may contribute to pervasive and widening racial and socioeconomic (SES) disparities in health. A growing body of literature demonstrates that over and above individual-level SES, indicators of neighborhood disadvantage are associated with poor sleep. However, there has been scant investigation of the association between sleep and the most proximal environments, the home and residential block. This is the first study to examine the association between objective and self-reported measures of housing and block conditions and sleep. The sample included 634 adults (mean age = 58.7 years; 95% African American) from two low-income urban neighborhoods. Study participants reported whether they experienced problems with any of seven different housing problems (e.g., broken windows) and rated the overall condition of their home. Trained data collectors rated residential block quality. Seven days of wrist actigraphy were used to measure average sleep duration, efficiency, and wakefulness after sleep onset (WASO), and a sleep diary assessed sleep quality. Multivariate regression analyses were conducted for each sleep outcome with housing or block conditions as predictors in separate models. Participants reporting "fair" or "poor" housing conditions had an adjusted average sleep duration that was 15.4 min shorter than that of participants reporting "good" or "excellent" conditions. Those reporting any home distress had 15.9 min shorter sleep and .19 units lower mean sleep quality as compared with participants who did not report home distress. Poor objectively measured block quality was associated with 14.0 min shorter sleep duration, 1.95% lower sleep efficiency, and 10.7 additional minutes of WASO. Adverse housing and proximal neighborhood conditions are independently associated with poor sleep health. Findings highlight the importance of considering strategies that target upstream determinants of sleep health disparities.
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Affiliation(s)
- Wendy M Troxel
- Behavior and Policy Sciences, RAND Corporation, 4570 Fifth Avenue, Suite 600, Pittsburgh, PA, 15213, USA.
| | - Ann Haas
- Economics, Sociology and Statistics, RAND Corporation, Pittsburgh, PA, 15213, USA
| | | | - Stephanie Brooks Holliday
- Behavior and Policy Sciences, RAND Corporation, 4570 Fifth Avenue, Suite 600, Pittsburgh, PA, 15213, USA
| | - Andrea S Richardson
- Behavior and Policy Sciences, RAND Corporation, 4570 Fifth Avenue, Suite 600, Pittsburgh, PA, 15213, USA
| | - Heather Schwartz
- Economics, Sociology and Statistics, RAND Corporation, Pittsburgh, PA, 15213, USA
| | - Tiffany L Gary-Webb
- Departments of Behavioral and Community Health Sciences and Epidemiology, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Lauren Hale
- Department of Family, Population, and Preventive Medicine, Program in Public Health, Stony Brook University, Stony Brook, NY, 11794-8338, USA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Matthew P Buman
- College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA
| | - Tamara Dubowitz
- Behavior and Policy Sciences, RAND Corporation, 4570 Fifth Avenue, Suite 600, Pittsburgh, PA, 15213, USA
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Thomas SJ, Booth JN, Jaeger BC, Hubbard D, Sakhuja S, Abdalla M, Lloyd-Jones DM, Buysse DJ, Lewis CE, Shikany JM, Schwartz JE, Shimbo D, Calhoun D, Muntner P, Carnethon MR. Association of Sleep Characteristics With Nocturnal Hypertension and Nondipping Blood Pressure in the CARDIA Study. J Am Heart Assoc 2020; 9:e015062. [PMID: 32188307 PMCID: PMC7428601 DOI: 10.1161/jaha.119.015062] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Background Sleep characteristics and disorders are associated with higher blood pressure (BP) when measured in the clinic setting. Methods and Results We tested whether self-reported sleep characteristics and likelihood of obstructive sleep apnea (OSA) were associated with nocturnal hypertension and nondipping systolic BP (SBP) among participants in the CARDIA (Coronary Artery Risk Development in Young Adults) study who completed 24-hour ambulatory BP monitoring during the year 30 examination. Likelihood of OSA was determined using the STOP-Bang questionnaire. Global sleep quality, habitual sleep duration, sleep efficiency, and midsleep time were obtained from the Pittsburgh Sleep Quality Index. Nocturnal hypertension was defined as mean asleep SBP ≥120 mm Hg or diastolic BP ≥70 mm Hg. Nondipping SBP was defined as a decline in awake-to-asleep SBP <10%. Among 702 participants, the prevalence of nocturnal hypertension and nondipping SBP was 41.3% and 32.5%, respectively. After multivariable adjustment including cardiovascular risk factors, the prevalence ratios (PRs) for nocturnal hypertension and nondipping SBP associated with high versus low likelihood of OSA were 1.32 (95% CI, 1.00-1.75) and 1.31 (95% CI, 1.02-1.68), respectively. The association between likelihood of OSA and nocturnal hypertension was stronger for white participants (PR: 2.09; 95% CI, 1.23-3.48) compared with black participants (PR: 1.11; 95% CI, 0.79-1.56). The PR for nondipping SBP associated with a 1-hour later midsleep time was 0.92 (95% CI, 0.85-0.99). Global sleep quality, habitual sleep duration, and sleep efficiency were not associated with either nocturnal hypertension or nondipping SBP. Conclusions These findings suggest that addressing OSA risk and sleep timing in a clinical trial may improve BP during sleep.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Joseph E Schwartz
- Columbia University New York NY.,Stony Brook University, Stony Brook NY
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Disturbed Sleep as a Mechanism of Race Differences in Nocturnal Blood Pressure Non-Dipping. Curr Hypertens Rep 2019; 21:51. [DOI: 10.1007/s11906-019-0954-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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20
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Brooks Holliday S, Dubowitz T, Ghosh-Dastidar B, Beckman R, Buysse D, Hale L, Buman M, Troxel W. Do Sleep and Psychological Distress Mediate the Association Between Neighborhood Factors and Pain? PAIN MEDICINE (MALDEN, MASS.) 2019; 20:278-289. [PMID: 29767771 PMCID: PMC6374133 DOI: 10.1093/pm/pny075] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
OBJECTIVE Pain affects millions of American adults. However, individuals from socioeconomically disadvantaged groups experience higher rates of pain, and individuals from racial/ethnic minorities report greater pain severity and pain-related disability. Some studies find an association between neighborhood socioeconomic status and pain. The present study aimed to further understand the association between neighborhood disadvantage and pain, including the role of objective (e.g., crime rates) and subjective neighborhood characteristics (e.g., perceived safety, neighborhood satisfaction), and to examine sleep and psychological distress as potential mediators of these associations. METHODS The sample included 820 participants from two predominantly African American socioeconomically disadvantaged neighborhoods. Trained data collectors interviewed participants on a number of self-report measures, and objective neighborhood characteristics were obtained from city crime data and street segment audits. RESULTS Subjective characteristics, specifically perceived infrastructure and perceived safety, were associated with pain. Based on bootstrapped regression models, sleep efficiency and psychological distress were tested as mediators of the association between these neighborhood factors and pain. Results of mediation testing indicated that psychological distress served as a significant mediator. Though sleep efficiency was not a mediator, it had a significant independent association with pain. CONCLUSIONS Understanding the contribution of sleep problems and psychological distress to pain among at-risk individuals living in disadvantaged neighborhoods is important to identifying ways that individual- and neighborhood-level interventions may be leveraged to reduce pain-related disparities.
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Affiliation(s)
| | | | | | | | - Daniel Buysse
- School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Lauren Hale
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, New York
| | - Matthew Buman
- School of Nutrition and Health Promotion, Arizona State University, Tempe, Arizona, USA
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Sherwood A, Hill LK, Blumenthal JA, Hinderliter AL. The Effects of Ambulatory Blood Pressure Monitoring on Sleep Quality in Men and Women With Hypertension: Dipper vs. Nondipper and Race Differences. Am J Hypertens 2019; 32:54-60. [PMID: 30204833 DOI: 10.1093/ajh/hpy138] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 09/04/2018] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND The nondipping circadian blood pressure (BP) profile is associated with both poor sleep quality and increased cardiovascular risk. The present study aimed to clarify the potential confounding effects of 24-hour ambulatory blood pressure monitoring (ABPM) used to characterize the circadian BP profile by assessing its impact on sleep quality. METHODS Participants were 121 middle-aged men and women with untreated hypertension (age = 46 ± 8 years; 43% women; 45% African-American). Subjective sleep quality was assessed using the Pittsburgh Sleep Quality Index. Wrist actigraphy was used to measure sleep quality objectively as sleep efficiency (SE) and total sleep time (TST) on 7 consecutive non-ABPM days (baseline) and 3 subsequent 24-hour ABPM days. RESULTS Average ambulatory BP was 137.2 ± 10.8/84.3 ± 8.5 mm Hg during the day and 119.6 ± 12.4/69.5 ± 9.8 mm Hg at night. Using the criterion of <10% dip in systolic BP (SBP) to define nondippers, there were 40 nondippers (SBP dip = 7.3 ± 2.6%) and 81 dippers (SBP dip = 15.5 ± 3.4%). There was no effect of time on SE or TST over non-ABPM and ABPM days, suggesting that ABPM does not adversely affect sleep quality. Sleep quality was generally poorer (lower SE) in nondippers compared with dippers (P = 0.033), but differences were independent of whether or not participants were undergoing 24-hour ABPM. African-American race (P = 0.002) was also associated with lower SE. CONCLUSION Sleep quality generally appears to be poor in men and women with untreated hypertension and especially among African-Americans. Importantly, for both dippers and nondippers, we found no evidence that ABPM had an adverse effect on sleep quality.
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Affiliation(s)
| | | | | | - Alan L Hinderliter
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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22
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Kim YS, Davis SCAT, Stok WJ, van Ittersum FJ, van Lieshout JJ. Impaired nocturnal blood pressure dipping in patients with type 2 diabetes mellitus. Hypertens Res 2018; 42:59-66. [PMID: 30401911 DOI: 10.1038/s41440-018-0130-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 06/28/2018] [Accepted: 06/29/2018] [Indexed: 01/21/2023]
Abstract
Hypertension is a common comorbidity of type 2 diabetes mellitus (T2DM). Both conditions are associated with an increased cardiovascular risk, which is reduced by tight blood pressure (BP) and glycemic control. However, nondipping BP status continues to be an enduring cardiovascular risk factor in T2DM. Cardiovascular autonomic neuropathy and endothelial dysfunction have been proposed as potential mechanisms. This study tested the hypothesis that microvascular disease rather than cardiovascular autonomic neuropathy interferes with the physiological nocturnal BP reduction. Cardiovascular autonomic function and baroreflex sensitivity were determined in 22 type 2 diabetic patients with (DM+) and 23 diabetic patients without (DM-) manifest microvascular disease. BP dipping status was assessed from 24-hour ambulatory BP measurements. Sixteen nondiabetic subjects served as controls (CTRL). Cardiovascular autonomic function was normal in all subjects. Baroreflex sensitivity was lower in DM- compared with CTRL (7.7 ± 3.3 vs. 12.3 ± 8.3 ms·mm Hg-1; P < 0.05) and was further reduced in DM + (4.6 ± 2.0 ms·mm Hg-1; P < 0.01 vs. DM- and CTRL). The nocturnal decline in systolic and diastolic BP was blunted in DM- (12% and 14% vs. 17% and 19% in CTRL; P < 0.05) and even more so in DM+ (8% and 11%; P < 0.05 vs. DM- and P < 0.001 vs. CTRL). A nocturnal reduction in pulse pressure was observed in CTRL and DM- but not in DM+ (P < 0.05 vs. DM- and P < 0.01 vs. CTRL). In T2DM, progression of microvascular disease interferes with the normal nocturnal BP decline and coincides with a persistently increased pulse pressure and reduced baroreflex sensitivity, contributing to their increased cardiovascular risk.
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Affiliation(s)
- Yu-Sok Kim
- Department of Nephrology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location VU University Medical Center, Amsterdam, The Netherlands. .,Laboratory for Clinical Cardiovascular Physiology, Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, The Netherlands.
| | - Shyrin C A T Davis
- Laboratory for Clinical Cardiovascular Physiology, Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, The Netherlands
| | - Wim J Stok
- Laboratory for Clinical Cardiovascular Physiology, Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, The Netherlands
| | - Frans J van Ittersum
- Department of Nephrology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location VU University Medical Center, Amsterdam, The Netherlands
| | - Johannes J van Lieshout
- Laboratory for Clinical Cardiovascular Physiology, Department of Medical Biology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, The Netherlands.,Department of Internal Medicine, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, The Netherlands.,MRC/Arthritis Research UK Centre for Musculoskeletal Ageing Research, Queen's Medical Centre, School of Life Sciences, University of Nottingham Medical School, Nottingham, United Kingdom
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Niclou AM, James GD, Bovbjerg DH. The consistency of circadian blood pressure and heart rate patterns over three months in women employed in sedentary office jobs. Am J Hum Biol 2018; 30:e23177. [PMID: 30203463 DOI: 10.1002/ajhb.23177] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Revised: 08/01/2018] [Accepted: 08/12/2018] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVES The purpose of this study was to evaluate the consistency of the circadian patterns of blood pressure (BP) and heart rate (HR) variation over a three-month time frame in women employed outside the home. METHODS The subjects were 157 healthy women of varying ethnicity (age = 38.2 ± 8.9) who all worked in similar positions at two major medical centers in New York City. Each wore an ambulatory BP monitor during the course of three mid-week work days approximately one month apart. Hourly BPs and HRs were calculated from 9 am to 6 am the following morning and compared among the three days using anova and t tests. RESULTS The results indicate that there were virtually no differences in the mean hourly levels of any parameter during the waking period across the three days of assessment. However, mean hourly levels of systolic BP significantly declined from 12 pm to 4 am (P < .04, P = .001, P < .001, P = .001, P = .009, respectively) on the third assessment day compared to the first. CONCLUSIONS Because BP and HR respond to environmental demands in an allostatic fashion, the consistency in the waking patterns of BP and HR variation suggest that the patterns of demands on a workday are reasonably stable in this sample of women. The decline in systolic pressures from 12 pm to 4 am over the three assessments may indicate an improving ability to sleep with the monitor over time.
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Affiliation(s)
| | - Gary D James
- Department of Anthropology, Binghamton University, Binghamton, New York.,Decker School of Nursing, Binghamton University, Binghamton, New York.,Department of Biomedical Engineering, Binghamton University, Binghamton, New York
| | - Dana H Bovbjerg
- Departments of: Psychiatry, Psychology, Behavioral & Community Health Sciences, Health & Community Systems; and Biobehavioral Oncology Program, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania
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Association between nondipping pattern and EndoPAT signal in patients with mild obstructive sleep apnea. Sleep Med 2018; 51:9-14. [PMID: 30077018 DOI: 10.1016/j.sleep.2018.05.041] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 04/30/2018] [Accepted: 05/03/2018] [Indexed: 12/27/2022]
Abstract
OBJECTIVE To compare vascular endothelial function between dipping (D) and nondipping (ND) patterns in patients with and without mild obstructive sleep apnea (OSA) using EndoPAT, a test of reactive hyperemia used to assess peripheral vascular endothelial function. METHODS The sample consisted of individuals of both genders between 18 and 65 years of age with a body mass index (BMI) of ≤35 kg/m2 and apnea/hypopnea index (AHI) of ≤15. The nondipping pattern was considered present when the dip of nocturnal blood pressure (NBP) was <10%. All of the sample underwent clinical and physical evaluation, full polysomnography, 24-hour ambulatory blood pressure monitoring, and EndoPAT evaluation. A generalized linear model was used for statistical analysis. RESULTS The sample comprised 120 individuals, 35 in the control group and 85 in the mild OSA group. Four groups were formed: Control-ND, Control-D, Mild OSA-ND, and Mild OSA-D according to nocturnal ABPM patterns. The frequency of nondipping was (34.1%) in the Mild OSA group and (17.1%) in the Control group (p = 0.07). The Mild OSA-ND group had a higher augmentation index (AIx) than the Mild OSA-D group. Regression analysis showed that male gender, higher age, and nondipping status were associated with these results, whereas oxygen desaturation index (ODI) and AHI did not. With respect to the reactive hyperemia index (RHI), the Mild OSA-D group had lower values compared to the Control-ND group, but an association with OSA was not confirmed in the regression model. CONCLUSION Nondipping status was associated with a worse augmentation index in both groups independently of AHI or oxygen desaturation index. Male gender, higher age, and nondipping status were associated with augmentation index. ClinicalTrials.gov Identifier: NCT01461486.
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Objective sleep quality and night-time blood pressure in the general elderly population. J Hypertens 2018; 36:601-607. [DOI: 10.1097/hjh.0000000000001569] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Sherwood A, Ulmer CS, Beckham JC. Waking up to the importance of sleeping well for cardiovascular health. J Clin Hypertens (Greenwich) 2018; 20:606-608. [PMID: 29457356 DOI: 10.1111/jch.13243] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Andrew Sherwood
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Christi S Ulmer
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Jean C Beckham
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
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Koo DL, Nam H, Thomas RJ, Yun CH. Sleep Disturbances as a Risk Factor for Stroke. J Stroke 2018; 20:12-32. [PMID: 29402071 PMCID: PMC5836576 DOI: 10.5853/jos.2017.02887] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Revised: 01/07/2018] [Accepted: 01/15/2018] [Indexed: 12/30/2022] Open
Abstract
Sleep, a vital process of human being, is carefully orchestrated by the brain and consists of cyclic transitions between rapid eye movement (REM) and non-REM (NREM) sleep. Autonomic tranquility during NREM sleep is characterized by vagal dominance and stable breathing, providing an opportunity for the cardiovascular-neural axis to restore homeostasis, in response to use, distress or fatigue inflicted during wakefulness. Abrupt irregular swings in sympathovagal balance during REM sleep act as phasic loads on the resting cardiovascular system. Any causes of sleep curtailment or fragmentation such as sleep restriction, sleep apnea, insomnia, periodic limb movements during sleep, and shift work, not only impair cardiovascular restoration but also impose a stress on the cardiovascular system. Sleep disturbances have been reported to play a role in the development of stroke and other cardiovascular disorders. This review aims to provide updated information on the role of abnormal sleep in the development of stroke, to discuss the implications of recent research findings, and to help both stroke clinicians and researchers understand the importance of identification and management of sleep pathology for stroke prevention and care.
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Affiliation(s)
- Dae Lim Koo
- Department of Neurology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Hyunwoo Nam
- Department of Neurology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Robert J Thomas
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Chang-Ho Yun
- Department of Neurology, Bundang Clinical Neuroscience Institute, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
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Huang Z, Goparaju B, Chen H, Bianchi MT. Heart rate phenotypes and clinical correlates in a large cohort of adults without sleep apnea. Nat Sci Sleep 2018; 10:111-125. [PMID: 29719424 PMCID: PMC5914741 DOI: 10.2147/nss.s155733] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Normal sleep is associated with typical physiological changes in both the central and autonomic nervous systems. In particular, nocturnal blood pressure dipping has emerged as a strong marker of normal sleep physiology, whereas the absence of dipping or reverse dipping has been associated with cardiovascular risk. However, nocturnal blood pressure is not measured commonly in clinical practice. Heart rate (HR) dipping in sleep may be a similar important marker and is measured routinely in at-home and in-laboratory sleep testing. METHODS We performed a retrospective cross-sectional analysis of diagnostic polysomnography in a clinically heterogeneous cohort of n=1047 adults without sleep apnea. RESULTS We found that almost half of the cohort showed an increased HR in stable nonrapid eye movement sleep (NREM) compared to wake, while only 13.5% showed a reduced NREM HR of at least 10% relative to wake. The strongest correlates of HR dipping were younger age and male sex, whereas the periodic limb movement index (PLMI), sleep quality, and Epworth Sleepiness Scale (ESS) scores were not correlated with HR dipping. PLMI was however significantly correlated with metrics of impaired HR variability (HRV): increased low-frequency power and reduced high-frequency power. HRV metrics were unrelated to sleep quality or the ESS value. Following the work of Vgontzas et al, we also analyzed the sub-cohort with insomnia symptoms and short objective sleep duration. Interestingly, the sleep-wake stage-specific HR values depended upon insomnia symptoms more than sleep duration. CONCLUSION While our work demonstrates heterogeneity in cardiac metrics (HR and HRV), the population analysis suggests that pathological signatures of HR (nondipping and elevation) are common even in this cohort selected for the absence of sleep apnea. Future prospective work in clinical populations will further inform risk stratification and set the stage for testing interventions.
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Affiliation(s)
- Zhaoyang Huang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Balaji Goparaju
- Department of Neurology, Division of Sleep Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - He Chen
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, People's Republic of China
| | - Matt T Bianchi
- Department of Neurology, Division of Sleep Medicine, Massachusetts General Hospital, Boston, MA, USA
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Wallace ML, Stone K, Smagula SF, Hall MH, Simsek B, Kado DM, Redline S, Vo TN, Buysse DJ. Which Sleep Health Characteristics Predict All-Cause Mortality in Older Men? An Application of Flexible Multivariable Approaches. Sleep 2018; 41:4642232. [PMID: 29165696 PMCID: PMC5806578 DOI: 10.1093/sleep/zsx189] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Study Objectives Sleep is multidimensional, with domains including duration, timing, continuity, regularity, rhythmicity, quality, and sleepiness/alertness. Individual sleep characteristics representing these domains are known to predict health outcomes. However, most studies consider sleep characteristics in isolation, resulting in an incomplete understanding of which sleep characteristics are the strongest predictors of health outcomes. We applied three multivariable approaches to robustly determine which sleep characteristics increase mortality risk in the osteoporotic fractures in men sleep study. Methods In total, 2,887 men (mean 76.3 years) completed relevant assessments and were followed for up to 11 years. One actigraphy or self-reported sleep characteristic was selected to represent each of seven sleep domains. Multivariable Cox models, survival trees, and random survival forests were applied to determine which sleep characteristics increase mortality risk. Results Rhythmicity (actigraphy pseudo-F statistic) and continuity (actigraphy minutes awake after sleep onset) were the most robust sleep predictors across models. In a multivariable Cox model, lower rhythmicity (hazard ratio, HR [95%CI] =1.12 [1.04, 1.22]) and lower continuity (1.16 [1.08, 1.24]) were the strongest sleep predictors. In the random survival forest, rhythmicity and continuity were the most important individual sleep characteristics (ranked as the sixth and eighth most important among 43 possible sleep and non-sleep predictors); moreover, the predictive importance of all sleep information considered simultaneously followed only age, cognition, and cardiovascular disease. Conclusions Research within a multidimensional sleep health framework can jumpstart future research on causal pathways linking sleep and health, new interventions that target specific sleep health profiles, and improved sleep screening for adverse health outcomes.
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Affiliation(s)
| | - Katie Stone
- California Pacific Medical Center, Research Institute, San Francisco, CA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA
| | | | - Martica H Hall
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Burcin Simsek
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Deborah M Kado
- Department of Family Medicine & Public Health, University of California, La Jolla, San Diego, CA
| | - Susan Redline
- Departments of Medicine, Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Tien N Vo
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
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Yang H, Haack M, Gautam S, Meier-Ewert HK, Mullington JM. Repetitive exposure to shortened sleep leads to blunted sleep-associated blood pressure dipping. J Hypertens 2017; 35:1187-1194. [PMID: 28169885 DOI: 10.1097/hjh.0000000000001284] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND Blood pressure (BP) dips at night during sleep in healthy individuals but in disturbed sleep, dipping is blunted. However, the impact of chronic insufficient sleep duration, with limited intermittent recovery sleep, on BP dipping is not known. The objective of this study was to examine, in a controlled experimental model, the influence of chronic sleep restriction on BP patterns at night and during the day. METHOD In a highly controlled 22-day in-hospital protocol, 45 healthy participants (age 32 ± 2 years; BMI 24 ± 1 kg/m; 22 men and 23 women) were randomly assigned to one of two conditions: repeated sleep restriction (4 h of sleep/night from 0300 to 0700 h for three nights followed by recovery sleep of 8 h, repeated four times in succession) or a sleep control group (8 h/night from 2300 to 0700 h). RESULTS Beat-to-beat BP and polysomnography were recorded and revealed that sleep-associated DBP dipping was significantly blunted during all four blocks of sleep restriction (P = 0.002). Further, DBP was significantly increased for the whole day during the first, second, and fourth block of sleep restriction (all P < 0.01), and SBP was significantly increased for the whole day during the first block of sleep restriction. CONCLUSION Repeated exposure to significantly shortened sleep blunts sleep-associated BP dipping, despite intermittent catch-up sleep. Individuals frequently experiencing insufficient sleep may be at increased risk for hypertension due to repetitive blunting of sleep-associated BP dipping, and resultant elevations in average circadian BP.
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Affiliation(s)
- Huan Yang
- aDepartment of Neurology bDepartment of Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School cDepartment of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
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31
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Fillo J, Holliday SB, DeSantis A, Germain A, Buysse DJ, Matthews KA, Troxel WM. Observed Relationship Behaviors and Sleep in Military Veterans and Their Partners. Ann Behav Med 2017; 51:879-889. [PMID: 28488231 PMCID: PMC5680152 DOI: 10.1007/s12160-017-9911-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Emerging research has begun to examine associations between relationship functioning and sleep. However, these studies have largely relied on self-reported evaluations of relationships and/or of sleep, which may be vulnerable to bias. PURPOSE The purpose of the study was to examine associations between relationship functioning and sleep in military couples. This is the first research to examine associations between observed relationship behaviors and subjective and polysomnographically measured sleep in a sample at-risk for both sleep and relationship problems. METHODS The sample included 35 military veterans and their spouses/partners. Marital functioning was coded from a videotaped conflict interaction. Analyses focused on behavioral codes of hostility and relationship-enhancing attributions. Sleep was assessed via self-report and in-home polysomnography. RESULTS Greater hostility was associated with poorer sleep efficiency for oneself (b = -0.195, p = .013). In contrast, greater relationship-enhancing attributions were associated with higher percentages of stage N3 sleep (b = 0.239, p = .028). Partners' hostility was also positively associated with higher percentages of stage N3 sleep (b = 0.272, p = .010). Neither hostility nor relationship-enhancing attributions was associated with self-reported sleep quality, percentage of REM sleep, or total sleep time. CONCLUSIONS Both partners' positive and negative behaviors during conflict interactions were related to sleep quality. These findings highlight the role that effective communication and conflict resolution skills may play in shaping not only the marital health of veterans and their spouses but also the physical health of both partners as well. Understanding the links between relationship functioning and sleep may be important targets of intervention in the aftermath of war.
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Affiliation(s)
- Jennifer Fillo
- Research Institute on Addictions, University at Buffalo, The State University of New York, 1021 Main Street, Buffalo, NY, 14203, USA
| | | | - Amy DeSantis
- RAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA
| | - Anne Germain
- Department of Psychiatry, University of Pittsburgh, School of Medicine, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, School of Medicine, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Karen A Matthews
- Department of Psychiatry, University of Pittsburgh, School of Medicine, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Wendy M Troxel
- RAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA.
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Gunn HE, Buysse DJ, Matthews KA, Kline CE, Cribbet MR, Troxel WM. Sleep-Wake Concordance in Couples Is Inversely Associated With Cardiovascular Disease Risk Markers. Sleep 2017; 40:2661822. [PMID: 28364457 DOI: 10.1093/sleep/zsw028] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/02/2016] [Indexed: 11/13/2022] Open
Abstract
Aim To determine whether interdependence in couples' sleep (sleep-wake concordance i.e., whether couples are awake or asleep at the same time throughout the night) is associated with two markers of cardiovascular disease (CVD) risk, ambulatory blood pressure (BP) and systemic inflammation. Methods This community-based study is a cross-sectional analysis of 46 adult couples, aged 18-45 years, without known sleep disorders. Percent sleep-wake concordance, the independent variable, was calculated for each individual using actigraphy. Ambulatory BP monitors measured BP across 48 h. Dependent variables included mean sleep systolic BP (SBP) and diastolic BP (DBP), mean wake SBP and DBP, sleep-wake SBP and DBP ratios, and C-reactive protein (CRP). Mixed models were used and were adjusted for age, sex, education, race, and body mass index. Results Higher sleep-wake concordance was associated with lower sleep SBP (b = -.35, SE = .01) and DBP (b = -.22, SE = .10) and lower wake SBP (b = -.26, SE = .12; all p values < .05). Results were moderated by sex; for women, high concordance was associated with lower BP. Men and women with higher sleep-wake concordance also had lower CRP values (b = -.15, SE = .03, p < .05). Sleep-wake concordance was not associated with wake DBP or sleep/wake BP ratios. Significant findings remained after controlling for individual sleep quality, duration, and wake after sleep onset. Conclusions Sleep-wake concordance was associated with sleep BP, and this association was stronger for women. Higher sleep-wake concordance was associated with lower systemic inflammation for men and women. Sleep-wake concordance may be a novel mechanism by which marital relationships are associated with long-term CVD outcomes.
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Affiliation(s)
- Heather E Gunn
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Daniel J Buysse
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Karen A Matthews
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Christopher E Kline
- Department of Health and Physical Activity, University of Pittsburgh, Pittsburgh, PA
| | - Matthew R Cribbet
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA
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Muntner P, Abdalla M, Correa A, Griswold M, Hall JE, Jones DW, Mensah GA, Sims M, Shimbo D, Spruill TM, Tucker KL, Appel LJ. Hypertension in Blacks: Unanswered Questions and Future Directions for the JHS (Jackson Heart Study). Hypertension 2017; 69:761-769. [PMID: 28320850 PMCID: PMC5472537 DOI: 10.1161/hypertensionaha.117.09061] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Paul Muntner
- From the Department of Epidemiology, School of Public Health, University of Alabama at Birmingham (P.M.); Department of Medicine, Columbia University Herbert and Florence Irving Medical Center, New York, NY (M.A., D.S.); Department of Medicine, Jackson Heart Study (A.C., D.W.J., M.S.), Department of Data Science (M.G.), and Department of Physiology and Biophysics, Mississippi Center for Obesity Research (J.E.H.), University of Mississippi Medical Center, Jackson; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Population Health, NYU School of Medicine, New York, NY (T.M.S.); Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell (K.L.T.); and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD (L.J.A.).
| | - Marwah Abdalla
- From the Department of Epidemiology, School of Public Health, University of Alabama at Birmingham (P.M.); Department of Medicine, Columbia University Herbert and Florence Irving Medical Center, New York, NY (M.A., D.S.); Department of Medicine, Jackson Heart Study (A.C., D.W.J., M.S.), Department of Data Science (M.G.), and Department of Physiology and Biophysics, Mississippi Center for Obesity Research (J.E.H.), University of Mississippi Medical Center, Jackson; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Population Health, NYU School of Medicine, New York, NY (T.M.S.); Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell (K.L.T.); and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD (L.J.A.)
| | - Adolfo Correa
- From the Department of Epidemiology, School of Public Health, University of Alabama at Birmingham (P.M.); Department of Medicine, Columbia University Herbert and Florence Irving Medical Center, New York, NY (M.A., D.S.); Department of Medicine, Jackson Heart Study (A.C., D.W.J., M.S.), Department of Data Science (M.G.), and Department of Physiology and Biophysics, Mississippi Center for Obesity Research (J.E.H.), University of Mississippi Medical Center, Jackson; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Population Health, NYU School of Medicine, New York, NY (T.M.S.); Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell (K.L.T.); and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD (L.J.A.)
| | - Michael Griswold
- From the Department of Epidemiology, School of Public Health, University of Alabama at Birmingham (P.M.); Department of Medicine, Columbia University Herbert and Florence Irving Medical Center, New York, NY (M.A., D.S.); Department of Medicine, Jackson Heart Study (A.C., D.W.J., M.S.), Department of Data Science (M.G.), and Department of Physiology and Biophysics, Mississippi Center for Obesity Research (J.E.H.), University of Mississippi Medical Center, Jackson; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Population Health, NYU School of Medicine, New York, NY (T.M.S.); Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell (K.L.T.); and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD (L.J.A.)
| | - John E Hall
- From the Department of Epidemiology, School of Public Health, University of Alabama at Birmingham (P.M.); Department of Medicine, Columbia University Herbert and Florence Irving Medical Center, New York, NY (M.A., D.S.); Department of Medicine, Jackson Heart Study (A.C., D.W.J., M.S.), Department of Data Science (M.G.), and Department of Physiology and Biophysics, Mississippi Center for Obesity Research (J.E.H.), University of Mississippi Medical Center, Jackson; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Population Health, NYU School of Medicine, New York, NY (T.M.S.); Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell (K.L.T.); and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD (L.J.A.)
| | - Daniel W Jones
- From the Department of Epidemiology, School of Public Health, University of Alabama at Birmingham (P.M.); Department of Medicine, Columbia University Herbert and Florence Irving Medical Center, New York, NY (M.A., D.S.); Department of Medicine, Jackson Heart Study (A.C., D.W.J., M.S.), Department of Data Science (M.G.), and Department of Physiology and Biophysics, Mississippi Center for Obesity Research (J.E.H.), University of Mississippi Medical Center, Jackson; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Population Health, NYU School of Medicine, New York, NY (T.M.S.); Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell (K.L.T.); and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD (L.J.A.)
| | - George A Mensah
- From the Department of Epidemiology, School of Public Health, University of Alabama at Birmingham (P.M.); Department of Medicine, Columbia University Herbert and Florence Irving Medical Center, New York, NY (M.A., D.S.); Department of Medicine, Jackson Heart Study (A.C., D.W.J., M.S.), Department of Data Science (M.G.), and Department of Physiology and Biophysics, Mississippi Center for Obesity Research (J.E.H.), University of Mississippi Medical Center, Jackson; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Population Health, NYU School of Medicine, New York, NY (T.M.S.); Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell (K.L.T.); and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD (L.J.A.)
| | - Mario Sims
- From the Department of Epidemiology, School of Public Health, University of Alabama at Birmingham (P.M.); Department of Medicine, Columbia University Herbert and Florence Irving Medical Center, New York, NY (M.A., D.S.); Department of Medicine, Jackson Heart Study (A.C., D.W.J., M.S.), Department of Data Science (M.G.), and Department of Physiology and Biophysics, Mississippi Center for Obesity Research (J.E.H.), University of Mississippi Medical Center, Jackson; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Population Health, NYU School of Medicine, New York, NY (T.M.S.); Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell (K.L.T.); and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD (L.J.A.)
| | - Daichi Shimbo
- From the Department of Epidemiology, School of Public Health, University of Alabama at Birmingham (P.M.); Department of Medicine, Columbia University Herbert and Florence Irving Medical Center, New York, NY (M.A., D.S.); Department of Medicine, Jackson Heart Study (A.C., D.W.J., M.S.), Department of Data Science (M.G.), and Department of Physiology and Biophysics, Mississippi Center for Obesity Research (J.E.H.), University of Mississippi Medical Center, Jackson; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Population Health, NYU School of Medicine, New York, NY (T.M.S.); Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell (K.L.T.); and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD (L.J.A.)
| | - Tanya M Spruill
- From the Department of Epidemiology, School of Public Health, University of Alabama at Birmingham (P.M.); Department of Medicine, Columbia University Herbert and Florence Irving Medical Center, New York, NY (M.A., D.S.); Department of Medicine, Jackson Heart Study (A.C., D.W.J., M.S.), Department of Data Science (M.G.), and Department of Physiology and Biophysics, Mississippi Center for Obesity Research (J.E.H.), University of Mississippi Medical Center, Jackson; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Population Health, NYU School of Medicine, New York, NY (T.M.S.); Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell (K.L.T.); and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD (L.J.A.)
| | - Katherine L Tucker
- From the Department of Epidemiology, School of Public Health, University of Alabama at Birmingham (P.M.); Department of Medicine, Columbia University Herbert and Florence Irving Medical Center, New York, NY (M.A., D.S.); Department of Medicine, Jackson Heart Study (A.C., D.W.J., M.S.), Department of Data Science (M.G.), and Department of Physiology and Biophysics, Mississippi Center for Obesity Research (J.E.H.), University of Mississippi Medical Center, Jackson; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Population Health, NYU School of Medicine, New York, NY (T.M.S.); Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell (K.L.T.); and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD (L.J.A.)
| | - Lawrence J Appel
- From the Department of Epidemiology, School of Public Health, University of Alabama at Birmingham (P.M.); Department of Medicine, Columbia University Herbert and Florence Irving Medical Center, New York, NY (M.A., D.S.); Department of Medicine, Jackson Heart Study (A.C., D.W.J., M.S.), Department of Data Science (M.G.), and Department of Physiology and Biophysics, Mississippi Center for Obesity Research (J.E.H.), University of Mississippi Medical Center, Jackson; Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.); Department of Population Health, NYU School of Medicine, New York, NY (T.M.S.); Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell (K.L.T.); and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD (L.J.A.)
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Salles GF, Reboldi G, Fagard RH, Cardoso CRL, Pierdomenico SD, Verdecchia P, Eguchi K, Kario K, Hoshide S, Polonia J, de la Sierra A, Hermida RC, Dolan E, O'Brien E, Roush GC. Prognostic Effect of the Nocturnal Blood Pressure Fall in Hypertensive Patients: The Ambulatory Blood Pressure Collaboration in Patients With Hypertension (ABC-H) Meta-Analysis. Hypertension 2016; 67:693-700. [PMID: 26902495 DOI: 10.1161/hypertensionaha.115.06981] [Citation(s) in RCA: 369] [Impact Index Per Article: 46.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Accepted: 02/02/2016] [Indexed: 11/16/2022]
Abstract
The prognostic importance of the nocturnal systolic blood pressure (SBP) fall, adjusted for average 24-hour SBP levels, is unclear. The Ambulatory Blood Pressure Collaboration in Patients With Hypertension (ABC-H) examined this issue in a meta-analysis of 17 312 hypertensives from 3 continents. Risks were computed for the systolic night-to-day ratio and for different dipping patterns (extreme, reduced, and reverse dippers) relative to normal dippers. ABC-H investigators provided multivariate adjusted hazard ratios (HRs), with and without adjustment for 24-hour SBP, for total cardiovascular events (CVEs), coronary events, strokes, cardiovascular mortality, and total mortality. Average 24-hour SBP varied from 131 to 140 mm Hg and systolic night-to-day ratio from 0.88 to 0.93. There were 1769 total CVEs, 916 coronary events, 698 strokes, 450 cardiovascular deaths, and 903 total deaths. After adjustment for 24-hour SBP, the systolic night-to-day ratio predicted all outcomes: from a 1-SD increase, summary HRs were 1.12 to 1.23. Reverse dipping also predicted all end points: HRs were 1.57 to 1.89. Reduced dippers, relative to normal dippers, had a significant 27% higher risk for total CVEs. Risks for extreme dippers were significantly influenced by antihypertensive treatment (P<0.001): untreated patients had increased risk of total CVEs (HR, 1.92), whereas treated patients had borderline lower risk (HR, 0.72) than normal dippers. For CVEs, heterogeneity was low for systolic night-to-day ratio and reverse/reduced dipping and moderate for extreme dippers. Quality of included studies was moderate to high, and publication bias was undetectable. In conclusion, in this largest meta-analysis of hypertensive patients, the nocturnal BP fall provided substantial prognostic information, independent of 24-hour SBP levels.
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Affiliation(s)
- Gil F Salles
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.).
| | - Gianpaolo Reboldi
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
| | - Robert H Fagard
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
| | - Claudia R L Cardoso
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
| | - Sante D Pierdomenico
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
| | - Paolo Verdecchia
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
| | - Kazuo Eguchi
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
| | - Kazuomi Kario
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
| | - Satoshi Hoshide
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
| | - Jorge Polonia
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
| | - Alejandro de la Sierra
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
| | - Ramon C Hermida
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
| | - Eamon Dolan
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
| | - Eoin O'Brien
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
| | - George C Roush
- From the Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil (G.F.S., C.R.L.C.); Department of Medicine, University of Perugia, Perugia, Italy (G.R.); Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium (R.H.F.); Dipartimento di Medicina e Scienze dell'Invecchiamento, Universita Gabriele d'Annunzio, Chieti, Italy (S.D.P.); Department of Medicine, Struttura Complessa di Medicina, Ospedale di Assisi, Assisi, Italy (P.V.); Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan (K.E., K.K., S.H.); Department of Medicine, Faculdade de Medicine da Universidade do Porto, Porto, Portugal (J.P.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Terrassa, Spain (A.d.l.S.); Bioengineering and Chronobiology Laboratories, University of Vigo, Vigo, Spain (R.C.H.); Department of Geriatric and Stroke Medicine, Stroke and Hypertension Unit, Connolly Hospital, Dublin, Ireland (E.D.); Conway Institute, University College Dublin, Belfield, Dublin, Ireland (E.O.); and Department of Medicine, UCONN School of Medicine, Farmington, CT (G.C.R.)
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Roumelioti ME, Argyropoulos C, Pankratz VS, Jhamb M, Bender FH, Buysse DJ, Strollo P, Unruh ML. Objective and subjective sleep disorders in automated peritoneal dialysis. Can J Kidney Health Dis 2016; 3:6. [PMID: 26889382 PMCID: PMC4756443 DOI: 10.1186/s40697-016-0093-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Accepted: 12/28/2015] [Indexed: 11/25/2022] Open
Abstract
Background Automated peritoneal dialysis (APD) is one of the fastest growing dialysis modalities. It is unknown whether sleep and mood are disturbed while performing repeated overnight exchanges. Objectives In this report, we aim to describe and compare the prevalence of sleep-disordered breathing (SDB), periodic limb movements (PLMS), poor sleep quality (SQ), and depression among APD patients compared with stages 3b–5 (estimated glomerular filtration rate ≤44 ml/min/1.73 m2) chronic kidney disease (CKD) and hemodialysis (HD) patients. Design This is a cross-sectional, descriptive study. Setting Study participants were recruited from outpatient nephrology clinics, local dialysis centers, and the Thomas E. Starzl Transplant Institute in Western Pennsylvania between April 2004 and July 2009. Patients There were 186 participants in this study including 22 APD patients, 89 CKD patients, and 75 HD patients. Measurements In-home polysomnography was performed and two questionnaires were completed, the Pittsburgh Sleep Quality Index (PSQI) and the Patient Health Questionnaire-9 (PHQ-9). Methods SDB and PLMS were quantified by in-home unattended polysomnography; poor SQ was defined by a score >5 on the PSQI, and the presence of moderate to severe depression was defined by a score >5 on the PHQ-9. Results The APD patients had a median age of 37.5 years, were predominantly female (72.7 %), and had a median body mass index (BMI) of 23.8 kg/m2. In univariate analyses, APD patients had significantly lower apnea-hypopnea index compared to HD patients by 12.2 points (likelihood ratio test p = 0.008) and revealed the least percent of TST with nocturnal hypoxemia compared to CKD patients by 2.7 points, respectively (likelihood ratio test p = 0.01). The APD group had also significantly greater stages 3 to 4 sleep compared to the CKD patients by 8.6 points (likelihood ratio test p = 0.009). In multivariate analyses and after adjustment for age, gender, race, and BMI, both APD and HD patients had higher average PSQI scores than CKD patients by 2.54 and 2.22 points, respectively (likelihood ratio test p = 0.005). No other comparisons of sleep parameters among groups reached statistical significance. Limitations The limitations of this study are the small sample size of the APD population and the demographic and clinical differences among the three study groups. Conclusions Despite differences in univariate analyses, after multivariate adjustment, APD patients had similar sleep parameters and sleep architecture and as poor SQ and symptoms of depression as HD patients. Future studies with larger APD cohorts are needed.
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Affiliation(s)
- Maria-Eleni Roumelioti
- Nephrology Division, Department of Medicine, University of New Mexico, 901 University Blvd. SE, Suite 150, MSC 04-2785, Albuquerque, NM 87106 USA
| | - Christos Argyropoulos
- Nephrology Division, Department of Medicine, University of New Mexico, 901 University Blvd. SE, Suite 150, MSC 04-2785, Albuquerque, NM 87106 USA
| | - Vernon Shane Pankratz
- Nephrology Division, Department of Medicine, University of New Mexico, 901 University Blvd. SE, Suite 150, MSC 04-2785, Albuquerque, NM 87106 USA
| | - Manisha Jhamb
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA USA
| | - Filitsa H Bender
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA USA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA USA
| | - Patrick Strollo
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA USA
| | - Mark L Unruh
- Nephrology Division, Department of Medicine, University of New Mexico, 901 University Blvd. SE, Suite 150, MSC 04-2785, Albuquerque, NM 87106 USA
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Hoshide S, Kario K, de la Sierra A, Bilo G, Schillaci G, Banegas JR, Gorostidi M, Segura J, Lombardi C, Omboni S, Ruilope L, Mancia G, Parati G. Ethnic Differences in the Degree of Morning Blood Pressure Surge and in Its Determinants Between Japanese and European Hypertensive Subjects. Hypertension 2015; 66:750-6. [DOI: 10.1161/hypertensionaha.115.05958] [Citation(s) in RCA: 72] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Accepted: 07/29/2015] [Indexed: 12/22/2022]
Abstract
Morning blood pressure (BP) surge has been reported to be a prognostic factor for cardiovascular events. Its determinants are still poorly defined, however. In particular, it is not clear whether ethnic differences play a role in determining morning surge (MS) size. Aim of our study was to explore whether differences exist in the size of MS between Japanese and Western European hypertensive patients. We included 2887 untreated hypertensive patients (age 62.3±8.8 years) from a European ambulatory BP monitoring database and 811 hypertensive patients from a Japanese database (Jichi Medical School Ambulatory Blood Pressure Monitoring WAVE1, age 72.3±9.8 years) following the same inclusion criteria. Their 24-hour ambulatory BP monitoring recordings were analyzed focusing on MS. Sleep-trough MS was defined as the difference between mean systolic BP during the 2 hours after awakening and mean systolic BP during the 1-hour night period that included the lowest sleep BP level. The sleep-trough MS was higher in Japanese than in European hypertensive patients after adjusting for age and 24-hour mean BP levels (40.1 [95% confidence interval 39.0–41.2] versus 23.0 [22.4–23.5] mm Hg;
P
<0.001). This difference remained significant after accounting for differences in night-time BP dipping. Age was independently associated with MS in the Japanese database, but not in the European subjects. Our results for the first time show the occurrence of substantial ethnic differences in the degree of MS. These findings may help in understanding the role of ethnic factors in cardiovascular risk assessment and in identifying possible ethnicity-related differences in the most effective measures to be implemented for prevention of BP-related cardiovascular events.
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Affiliation(s)
- Satoshi Hoshide
- From the Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (S.H., K.K.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Spain (A.d.l.S.); Department of Cardiovascular, Neural, and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy (G.B., C.L., G.M., G.P.); Unit of Internal Medicine, Department of Medicine, University of Perugia at Terni, Terni, Italy (G.S.); Department of Preventive Medicine and
| | - Kazuomi Kario
- From the Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (S.H., K.K.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Spain (A.d.l.S.); Department of Cardiovascular, Neural, and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy (G.B., C.L., G.M., G.P.); Unit of Internal Medicine, Department of Medicine, University of Perugia at Terni, Terni, Italy (G.S.); Department of Preventive Medicine and
| | - Alejandro de la Sierra
- From the Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (S.H., K.K.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Spain (A.d.l.S.); Department of Cardiovascular, Neural, and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy (G.B., C.L., G.M., G.P.); Unit of Internal Medicine, Department of Medicine, University of Perugia at Terni, Terni, Italy (G.S.); Department of Preventive Medicine and
| | - Grzegorz Bilo
- From the Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (S.H., K.K.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Spain (A.d.l.S.); Department of Cardiovascular, Neural, and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy (G.B., C.L., G.M., G.P.); Unit of Internal Medicine, Department of Medicine, University of Perugia at Terni, Terni, Italy (G.S.); Department of Preventive Medicine and
| | - Giuseppe Schillaci
- From the Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (S.H., K.K.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Spain (A.d.l.S.); Department of Cardiovascular, Neural, and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy (G.B., C.L., G.M., G.P.); Unit of Internal Medicine, Department of Medicine, University of Perugia at Terni, Terni, Italy (G.S.); Department of Preventive Medicine and
| | - José Ramón Banegas
- From the Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (S.H., K.K.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Spain (A.d.l.S.); Department of Cardiovascular, Neural, and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy (G.B., C.L., G.M., G.P.); Unit of Internal Medicine, Department of Medicine, University of Perugia at Terni, Terni, Italy (G.S.); Department of Preventive Medicine and
| | - Manuel Gorostidi
- From the Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (S.H., K.K.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Spain (A.d.l.S.); Department of Cardiovascular, Neural, and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy (G.B., C.L., G.M., G.P.); Unit of Internal Medicine, Department of Medicine, University of Perugia at Terni, Terni, Italy (G.S.); Department of Preventive Medicine and
| | - Julian Segura
- From the Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (S.H., K.K.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Spain (A.d.l.S.); Department of Cardiovascular, Neural, and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy (G.B., C.L., G.M., G.P.); Unit of Internal Medicine, Department of Medicine, University of Perugia at Terni, Terni, Italy (G.S.); Department of Preventive Medicine and
| | - Carolina Lombardi
- From the Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (S.H., K.K.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Spain (A.d.l.S.); Department of Cardiovascular, Neural, and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy (G.B., C.L., G.M., G.P.); Unit of Internal Medicine, Department of Medicine, University of Perugia at Terni, Terni, Italy (G.S.); Department of Preventive Medicine and
| | - Stefano Omboni
- From the Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (S.H., K.K.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Spain (A.d.l.S.); Department of Cardiovascular, Neural, and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy (G.B., C.L., G.M., G.P.); Unit of Internal Medicine, Department of Medicine, University of Perugia at Terni, Terni, Italy (G.S.); Department of Preventive Medicine and
| | - Luis Ruilope
- From the Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (S.H., K.K.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Spain (A.d.l.S.); Department of Cardiovascular, Neural, and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy (G.B., C.L., G.M., G.P.); Unit of Internal Medicine, Department of Medicine, University of Perugia at Terni, Terni, Italy (G.S.); Department of Preventive Medicine and
| | - Giuseppe Mancia
- From the Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (S.H., K.K.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Spain (A.d.l.S.); Department of Cardiovascular, Neural, and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy (G.B., C.L., G.M., G.P.); Unit of Internal Medicine, Department of Medicine, University of Perugia at Terni, Terni, Italy (G.S.); Department of Preventive Medicine and
| | - Gianfranco Parati
- From the Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (S.H., K.K.); Department of Internal Medicine, Hospital Mutua Terrassa, University of Barcelona, Spain (A.d.l.S.); Department of Cardiovascular, Neural, and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy (G.B., C.L., G.M., G.P.); Unit of Internal Medicine, Department of Medicine, University of Perugia at Terni, Terni, Italy (G.S.); Department of Preventive Medicine and
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Johnson JA, Key BL, Routledge FS, Gerin W, Campbell TS. High trait rumination is associated with blunted nighttime diastolic blood pressure dipping. Ann Behav Med 2015; 48:384-91. [PMID: 24706074 PMCID: PMC4223575 DOI: 10.1007/s12160-014-9617-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Background Blunted blood pressure (BP) dipping during nighttime sleep has been associated with an increased risk of cardiovascular events. Psychological traits have been associated with prolonged cardiovascular activation and a lack of cardiovascular recovery. This activation may extend into nighttime sleep and reduce BP dipping. Purpose This study aims to evaluate the association between trait rumination and nighttime BP dipping. Methods Sixty women scoring either high or low on trait rumination underwent one 24-h ambulatory BP monitoring session. Self-reported wake and sleep times were used to calculate nighttime BP. Results High trait rumination was associated with less diastolic blood pressure (DBP) dipping relative to low trait rumination. Awake ambulatory BP, asleep systolic blood pressure (SBP) and DBP, and asleep SBP dipping were not associated with trait rumination. Conclusions In a sample of young women, high trait rumination was associated with less DBP dipping, suggesting that it may be associated with prolonged cardiovascular activation that extends into nighttime sleep, blunting BP dipping.
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Affiliation(s)
- Jillian A Johnson
- Department of Psychology, University of Calgary, 2500 University Dr NW, Calgary, Alberta, T2N 1N4, Canada
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38
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Impact of depression on masked hypertension and variability in home blood pressure in treated hypertensive patients. Hypertens Res 2015; 38:751-7. [DOI: 10.1038/hr.2015.75] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Revised: 03/24/2015] [Accepted: 03/26/2015] [Indexed: 11/08/2022]
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Associations between sleep difficulties and risk factors for cardiovascular disease in veterans and active duty military personnel of the Iraq and Afghanistan conflicts. J Behav Med 2015; 38:544-55. [PMID: 25813984 DOI: 10.1007/s10865-015-9627-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Accepted: 03/03/2015] [Indexed: 01/11/2023]
Abstract
Recent evidence suggests that sleep disturbance may play an important role in the development of cardiovascular disease (CVD). Despite the prevalence of sleep complaints among service members of recent military conflicts, few studies have examined associations between sleep and risk factors for CVD in this population. Symptom checklist items regarding distress about "trouble falling asleep" and "restless/disturbed sleep" were used as proxies for sleep onset and maintenance difficulties to examine these associations in US military service members of recent conflicts. Veterans having both sleep onset and maintenance difficulties had greater odds of being a current smoker and having psychiatric symptoms and diagnoses. Increased odds of a self-reported hypertension diagnosis and elevated systolic blood pressure were also found in certain subsets of this sample. Findings highlight the need for greater recognition of sleep difficulties as a CVD risk factor in a population known to be at increased risk for this condition.
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Zuurbier LA, Luik AI, Hofman A, Franco OH, Van Someren EJW, Tiemeier H. Fragmentation and stability of circadian activity rhythms predict mortality: the Rotterdam study. Am J Epidemiol 2015; 181:54-63. [PMID: 25491893 DOI: 10.1093/aje/kwu245] [Citation(s) in RCA: 72] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Circadian rhythms and sleep patterns change as people age. Little is known about the associations between circadian rhythms and mortality rates. We investigated whether 24-hour activity rhythms and sleep characteristics independently predicted mortality. Actigraphy was used to determine the stability and fragmentation of the 24-hour activity rhythm in 1,734 persons (aged 45-98 years) from the Rotterdam Study (2004-2013). Sleep was assessed objectively using actigraphy and subjectively using sleep diaries to estimate sleep duration, sleep onset latency, and waking after sleep onset. The mean follow-up time was 7.3 years; 154 participants (8.9%) died. Sleep measures were not related to mortality after adjustment for health parameters. In contrast, a more stable 24-hour activity rhythm was associated with a lower mortality risk (per 1 standard deviation, hazard ratio = 0.83, 95% confidence interval: 0.71, 0.96), and a more fragmented rhythm was associated with a higher mortality risk (per 1 standard deviation, hazard ratio = 1.22, 95% confidence interval: 1.04, 1.44). Low stability and high fragmentation of the 24-hour activity rhythm predicted all-cause mortality, whereas estimates from actigraphy and sleep diaries did not. Disturbed circadian activity rhythms reflect age-related alterations in the biological clock and could be an indicator of disease.
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Ross AJ, Yang H, Larson RA, Carter JR. Sleep efficiency and nocturnal hemodynamic dipping in young, normotensive adults. Am J Physiol Regul Integr Comp Physiol 2014; 307:R888-92. [DOI: 10.1152/ajpregu.00211.2014] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Blunted dipping of nocturnal systolic arterial pressure (SAP) and heart rate (HR) are independent risk factors for hypertension and all-cause mortality. While several epidemiological studies report a significant association between short sleep duration and hypertension, associations between sleep efficiency and the nocturnal drop of SAP remain controversial. Moreover, relations between sleep efficiency and HR diurnal patterns have been overlooked. We hypothesized that low sleep efficiency (<85%) would be associated with blunted nocturnal SAP and HR dipping. Twenty-two normotensive subjects (13 men, 9 women; age: 18–28 yr) wore an actigraphy watch for 7 days and nights, and an ambulatory blood pressure monitor for 24 h on a nonactigraph night. There were no differences in age, sex, body mass index, mean sleep time, number of awakenings, or 24-h blood pressure between the low ( n = 12) and high ( n = 10) sleep efficiency groups. However, the low sleep efficiency subjects demonstrated a blunted dip of nocturnal SAP (10 ± 1% vs. 14 ± 1%, P = 0.04) and HR (12 ± 3% vs. 21 ± 3%, P = 0.03) compared with the high sleep efficiency group. The low sleep efficiency group also demonstrated a higher mean nocturnal HR (63 ± 2 vs. 55 ± 2 beats/min; P = 0.02). These findings support growing evidence that sleep efficiency, independent of total sleep time, may be an important cardiovascular risk factor.
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Affiliation(s)
- Amanda J. Ross
- Department of Kinesiology and Integrative Physiology, Michigan Technological University, Houghton, Michigan
- Department of Neural and Behavioral Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania; and
| | - Huan Yang
- Department of Kinesiology and Integrative Physiology, Michigan Technological University, Houghton, Michigan
- Department of Neurology, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, Massachusetts
| | - Robert A. Larson
- Department of Kinesiology and Integrative Physiology, Michigan Technological University, Houghton, Michigan
| | - Jason R. Carter
- Department of Kinesiology and Integrative Physiology, Michigan Technological University, Houghton, Michigan
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Abstract
OBJECTIVE A nighttime dip in blood pressure is associated with decreased risk of cardiovascular morbidity and mortality. We examined whether personality traits predict nighttime dipping blood pressure. METHODS A community-based sample of 2848 adults from Sardinia (Italy) completed the Revised NEO Personality Inventory and 7 years later were examined with 24-hour ambulatory blood pressure monitoring. The primary analyses examined the associations of personality traits with continuous and categorical measures of mean arterial, systolic, and diastolic blood pressure nighttime dipping. RESULTS Agreeableness and conscientiousness were associated with more nocturnal blood pressure dipping (β = .05 [p = .025] and β = .07 [p < .001], respectively) and lower systolic blood pressure at night (β = -.05 [p = .018] and β = -.03 [p = .072], respectively). Nondippers were particularly more impulsive (p = .009), less trusting (p = .004), and less self-disciplined (p = .001), but there was no significant association between nocturnal dipping blood pressure and trait anxiety (p = .78) or depression (p = .59). The associations were stronger when comparing extreme dippers (nighttime drop ≥ 20%) to reverse dippers (nighttime increase in blood pressure). Indeed, scoring 1 standard deviation higher on conscientiousness was associated with approximately 40% reduced risk of reverse dipping (odds ratio = 1.43, confidence interval = 1.08-1.91). CONCLUSIONS We found evidence that reduced nighttime blood pressure dipping is associated with antagonism and impulsivity-related traits but not with measures of emotional vulnerability. The strongest associations were found with conscientiousness, a trait that may have a broad impact on cardiovascular health.
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Lee YJG, Jeong DU. Obstructive sleep apnea syndrome is associated with higher diastolic blood pressure in men but not in women. Am J Hypertens 2014; 27:325-30. [PMID: 24436323 DOI: 10.1093/ajh/hpt280] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Obstructive sleep apnea syndrome (OSAS) and poor sleep quality both increase blood pressure (BP). This study aimed to find the sex effects and the role of poor sleep quality on systolic BP (SBP) and diastolic BP (DBP) in OSAS patients. METHODS Polysomnographic findings, morning BP values, and clinical data of 460 subjects (348 men; 112 women) diagnosed with OSAS were analyzed. Analyses were performed separately in each sex to examine the association of the apnea-hypopnea index (AHI) with BP, SBP, DBP, and sleep quality. RESULTS In male subjects, AHI predicted the high BP and high DBP groups but not the high SBP group. In female subjects, AHI did not predict any of the high BP, DBP, or SBP groups. Poor sleep quality, in the absence of AHI effect, weakly correlated with BP in both sexes, but the association between poor sleep quality and high AHI was stronger in male subjects than in females. CONCLUSIONS In male subjects only, OSAS was associated with DBP but not SBP. The significant association between OSAS and DBP may be responsible for the BP elevations in OSAS. It could be speculated that the stronger association between poor sleep quality and OSAS in male subjects compared with females may have partly contributed to the sex effect on BP.
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Affiliation(s)
- Yu-Jin G Lee
- Department of Psychiatry and Center for Sleep and Chronobiology, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
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Haney A, Buysse DJ, Okun M. Sleep and pregnancy-induced hypertension: a possible target for intervention? J Clin Sleep Med 2013; 9:1349-56. [PMID: 24340300 PMCID: PMC3836349 DOI: 10.5664/jcsm.3290] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Sleep disturbances in the general population are associated with elevated blood pressure. This may be due to several mechanisms, including sympathetic activation and hypothalamic-pituitary-adrenal (HPA) axis disturbance. Elevated blood pressure in pregnancy can have devastating effects on both maternal and fetal health and is associated with increased risk for preeclampsia and poor delivery outcomes. Preliminary evidence suggests that mechanisms linking sleep and blood pressure in the general population may also hold in the pregnant population. However, the effects of disturbed sleep on physiologic mechanisms that may directly influence blood pressure in pregnancy have not been well studied. The role that sleep disturbance plays in gestational blood pressure elevation and its subsequent consequences warrant further investigation. This review evaluates the current literature on sleep disturbance and elevated blood pressure in pregnancy and proposes possible treatment interventions.
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Matthews KA, Chang Y, Kravitz HM, Bromberger JT, Owens JF, Buysse DJ, Hall MH. Sleep and risk for high blood pressure and hypertension in midlife women: the SWAN (Study of Women's Health Across the Nation) Sleep Study. Sleep Med 2013; 15:203-8. [PMID: 24360982 DOI: 10.1016/j.sleep.2013.11.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Revised: 11/01/2013] [Accepted: 11/05/2013] [Indexed: 01/15/2023]
Abstract
OBJECTIVE Inadequate self-reported sleep is related to high blood pressure (BP). Our study investigated cross-sectional and longitudinal relationships between poor sleep measured by in-home polysomnography (PSG) and BP. METHODS Midlife participants (132 black, 164 white, and 59 Chinese) were from the SWAN (Study of Women's Health Across the Nation) ancillary sleep study. In-home PSG measured sleep apnea, duration, efficiency, and electroencephalogram (EEG) total delta and beta power during nonrapid eye movement (NREM) sleep. Women subsequently were followed annually for 4.5 (1-7)years for BP and hypertensive status (>140/90 mmHg or use of antihypertensive medication). Covariates were age, race, site, and educational attainment, with time-covariates of BP medications, body mass index, diabetes mellitus (DM), cigarette smoking, and menopausal status. RESULTS Sleep duration and efficiency were unrelated to BP cross-sectionally or longitudinally in multivariate models. Women with higher total beta power were more likely to be hypertensive at the time of the sleep study; women with lower total delta power were more likely to show increases in diastolic BP (DBP) and to be at risk for incident hypertension across follow-up. CONCLUSIONS Low NREM delta power may be a risk factor for future hypertension. Quantitative EEG measures are worthy of future investigations of hypertension risk.
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Affiliation(s)
- Karen A Matthews
- Department of Psychiatry, University of Pittsburgh, PA, United States; Department of Epidemiology, University of Pittsburgh, PA, United States; Department of Psychology, University of Pittsburgh, PA, United States.
| | - Yuefang Chang
- Department of Neurological Surgery, University of Pittsburgh, PA, United States
| | - Howard M Kravitz
- Department of Psychiatry, Rush University Medical Center, Chicago, IL, United States; Department of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States
| | - Joyce T Bromberger
- Department of Psychiatry, University of Pittsburgh, PA, United States; Department of Epidemiology, University of Pittsburgh, PA, United States
| | - Jane F Owens
- Department of Psychiatry, University of Pittsburgh, PA, United States
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, PA, United States
| | - Martica H Hall
- Department of Psychiatry, University of Pittsburgh, PA, United States; Department of Psychology, University of Pittsburgh, PA, United States
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Aldridge-Gerry A, Zeitzer JM, Palesh OG, Jo B, Nouriani B, Neri E, Spiegel D. Psychosocial correlates of sleep quality and architecture in women with metastatic breast cancer. Sleep Med 2013; 14:1178-86. [PMID: 24074694 PMCID: PMC3886805 DOI: 10.1016/j.sleep.2013.07.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2013] [Revised: 07/11/2013] [Accepted: 07/12/2013] [Indexed: 12/24/2022]
Abstract
BACKGROUND Sleep disturbance is prevalent among women with metastatic breast cancer (MBC). Our study examined the relationship of depression and marital status to sleep assessed over three nights of polysomnography (PSG). METHODS Women with MBC (N=103) were recruited; they were predominately white (88.2%) and 57.8±7.7 years of age. Linear regression analyses assessed relationships among depression, marital status, and sleep parameters. RESULTS Women with MBC who reported more depressive symptoms had lighter sleep (e.g., stage 1 sleep; P<.05), less slow-wave sleep (SWS) (P<.05), and less rapid eye movement (REM) sleep (P<.05). Single women had less total sleep time (TST) (P<.01), more wake after sleep onset (WASO) (P<.05), worse sleep efficiency (SE) (P<.05), lighter sleep (e.g., stage 1; P<.05), and less REM sleep (P<.05) than married women. Significant interactions indicated that depressed and single women had worse sleep quality than partnered women or those who were not depressed. CONCLUSION Women with MBC and greater symptoms of depression had increased light sleep and reduced SWS and REM sleep, and single women had worse sleep quality and greater light sleep than married counterparts. Marriage was related to improved sleep for women with more depressive symptoms.
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Affiliation(s)
- Arianna Aldridge-Gerry
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd, Stanford, CA 94305-5718, United States.
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Hinderliter AL, Routledge FS, Blumenthal JA, Koch G, Hussey MA, Wohlgemuth WK, Sherwood A. Reproducibility of blood pressure dipping: relation to day-to-day variability in sleep quality. ACTA ACUST UNITED AC 2013; 7:432-9. [PMID: 23850195 DOI: 10.1016/j.jash.2013.06.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2013] [Revised: 06/04/2013] [Accepted: 06/08/2013] [Indexed: 01/19/2023]
Abstract
Previous studies of the reproducibility of blood pressure (BP) dipping have yielded inconsistent results. Few have examined factors that may influence day-to-day differences in dipping. Ambulatory BP monitoring was performed on three occasions, approximately 1 week apart, in 115 untreated adult subjects with elevated clinic BPs. The mean ± standard deviation BP dip was 18 ± 7/15 ± 5 mm Hg (sleep/awake BP ratio = 0.87 ± 0.05/0.82 ± 0.06), with a median (interquartile range) day-to-day variation of 5.2 (3.1-8.1)/4.3 (2.8-5.6) mm Hg. There was no decrease in variability with successive measurements. The reproducibility coefficient (5.6 [95% confidence interval, 5.1-6.1] mm Hg) was greater and the intraclass correlation coefficient (0.53 [95% confidence interval, 0.42-0.63]) was smaller for the systolic dip than for 24-hour or awake systolic BPs, suggesting greater day-to-day variability in dipping. Variability in systolic dipping was greater in subjects with higher awake BP, but was not related to age, gender, race, or body mass index. Within individuals, day-to-day variations in dipping were related to variations in the fragmentation index (P < .001), a measure of sleep quality. Although mean 24-hour and awake BPs were relatively stable over repeated monitoring days, our study confirms substantial variability in BP dipping. Day-to-day differences in dipping are related to sleep quality.
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Affiliation(s)
| | - Faye S Routledge
- Duke University Medical Center, Durham, NC; Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA
| | | | - Gary Koch
- University of North Carolina at Chapel Hill, Chapel Hill, NC
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Sasaki N, Ozono R, Yamauchi R, Teramen K, Edahiro Y, Ishii K, Seto A, Kihara Y. The Relationship between Morning Hypertension and Sleep Quality in Patients with Obstructive Sleep Apnea Syndrome. Clin Exp Hypertens 2013; 35:250-6. [DOI: 10.3109/10641963.2013.780069] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Fortmann AL, Gallo LC. Social support and nocturnal blood pressure dipping: a systematic review. Am J Hypertens 2013; 26:302-10. [PMID: 23382479 PMCID: PMC3888008 DOI: 10.1093/ajh/hps041] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2012] [Revised: 09/22/2012] [Accepted: 10/06/2012] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Attenuated nocturnal blood pressure (BP) dipping is a better predictor of cardiovascular disease (CVD) morbidity and mortality than resting BP measurements. Studies have reported associations between social support, variously defined, and BP dipping. METHODS A systematic review of the literature was conducted to investigate associations of functional and structural social support with nocturnal BP dipping assessed over a minimum of 24 hours. RESULTS A total of 297 articles were identified. Of these, 11 met criteria for inclusion; all studies were cross-sectional in design and included adult participants only (mean age = 19 to 72 years). Evidence was most consistent for an association between functional support and BP dipping, such that 5 of 7 studies reported statistically (or marginally) significant positive associations with BP dipping. Statistically significant functional support-BP dipping associations were moderate (standardized effect size (d) = 0.41) to large (d = 2.01) in magnitude. Studies examining structural support were fewer and relatively less consistent; however, preliminary evidence was observed for associations of marital status and social contact frequency with BP dipping. Statistically significant structural support findings were medium (d = 0.53) to large (d = 1.13) in magnitude. CONCLUSIONS Overall, findings suggest a link between higher levels of functional support and greater nocturnal BP dipping; preliminary evidence was also observed for the protective effects of marriage and social contact frequency. Nonetheless, the relatively small number of studies conducted to date and the heterogeneity of findings across meaningful subgroups suggest that additional research is needed to substantiate these conclusions.
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Affiliation(s)
- Addie L Fortmann
- Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, CA, USA.
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