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Self-reported sleep quality is associated with central hemodynamics in healthy individuals
Background Insufficient sleep is associated with arterial stiffness and elevated cardiovascular disease risk. Central hemodynamics are influenced by arterial stiffness, yet independently predict cardiovascular risk. Relationships between sleep characteristics and central hemodynamic parameters are l...
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Published in: | Sleep & breathing 2020-09, Vol.24 (3), p.1083-1088 |
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creator | Culver, Meral N. Langan, Sean P. Carreker, Jadeon Flatt, Andrew A. Ratchford, Stephen M. Grosicki, Gregory J. |
description | Background
Insufficient sleep is associated with arterial stiffness and elevated cardiovascular disease risk. Central hemodynamics are influenced by arterial stiffness, yet independently predict cardiovascular risk. Relationships between sleep characteristics and central hemodynamic parameters are largely unexplored. We aimed to characterize the relationship between self-reported sleep quality and central hemodynamics in healthy individuals. To explore the secondary hypothesis that impairments in glucose metabolism may underlie relationships between sleep and central hemodynamic variables, we also explored associations between self-reported sleep quality and fasting blood glucose values.
Methods
Thirty-one healthy study subjects (20 to 69 years, 17 men) were free from metabolic or cardiovascular disease and did not take sleep medication. Self-reported sleep quality was obtained using the Pittsburgh Sleep Quality Index (PSQI) with normal sleepers defined by PSQI scores 0–5 and poor sleepers by PSQI score > 5. Relationships were assessed between PSQI, central hemodynamic profiles (systolic and diastolic blood pressures, pulse and augmentation pressures, augmentation index) estimated from oscillometric pulse wave analysis, and blood glucose values.
Results
Central pulse pressure was significantly elevated in poor (PSQI score > 5) compared with that in normal (PSQI scores 0–5) sleepers (
P
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doi_str_mv | 10.1007/s11325-020-02082-5 |
format | article |
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Insufficient sleep is associated with arterial stiffness and elevated cardiovascular disease risk. Central hemodynamics are influenced by arterial stiffness, yet independently predict cardiovascular risk. Relationships between sleep characteristics and central hemodynamic parameters are largely unexplored. We aimed to characterize the relationship between self-reported sleep quality and central hemodynamics in healthy individuals. To explore the secondary hypothesis that impairments in glucose metabolism may underlie relationships between sleep and central hemodynamic variables, we also explored associations between self-reported sleep quality and fasting blood glucose values.
Methods
Thirty-one healthy study subjects (20 to 69 years, 17 men) were free from metabolic or cardiovascular disease and did not take sleep medication. Self-reported sleep quality was obtained using the Pittsburgh Sleep Quality Index (PSQI) with normal sleepers defined by PSQI scores 0–5 and poor sleepers by PSQI score > 5. Relationships were assessed between PSQI, central hemodynamic profiles (systolic and diastolic blood pressures, pulse and augmentation pressures, augmentation index) estimated from oscillometric pulse wave analysis, and blood glucose values.
Results
Central pulse pressure was significantly elevated in poor (PSQI score > 5) compared with that in normal (PSQI scores 0–5) sleepers (
P
< 0.05). Linear regression models, adjusted for age, gender, and body mass index, demonstrated PSQI score to be an independent predictor (
P
< 0.05) of both central pulse (
β
= 0.469) and augmentation (
β
= 0.364) pressures. Global PSQI scores were not related to fasting blood glucose values (
r
= 0.045;
P
> 0.05).
Conclusions
Significant relationships between central pulse and augmentation pressures and self-reported sleep quality highlight the importance of considering sleep when examining lifestyle contributors to central hemodynamics.</description><identifier>ISSN: 1520-9512</identifier><identifier>EISSN: 1522-1709</identifier><identifier>DOI: 10.1007/s11325-020-02082-5</identifier><identifier>PMID: 32328930</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Blood ; Body mass index ; Cardiovascular disease ; Cardiovascular diseases ; Dentistry ; Fasting ; Glucose ; Glucose metabolism ; Hemodynamics ; Internal Medicine ; Laboratory testing ; Medicine ; Medicine & Public Health ; Neurology ; Otorhinolaryngology ; Pediatrics ; Pneumology/Respiratory System ; Quality ; Regression analysis ; Sleep ; Sleep Breathing Physiology and Disorders • Short Communication</subject><ispartof>Sleep & breathing, 2020-09, Vol.24 (3), p.1083-1088</ispartof><rights>Springer Nature Switzerland AG 2020</rights><rights>Springer Nature Switzerland AG 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-3704309c2b8ff45cf08519c90411441325c4370bd00a6f7c7061cdfd311250ac3</citedby><cites>FETCH-LOGICAL-c375t-3704309c2b8ff45cf08519c90411441325c4370bd00a6f7c7061cdfd311250ac3</cites><orcidid>0000-0001-8929-4903</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2433609384/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2433609384?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21394,27924,27925,33611,33612,43733,74221</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32328930$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Culver, Meral N.</creatorcontrib><creatorcontrib>Langan, Sean P.</creatorcontrib><creatorcontrib>Carreker, Jadeon</creatorcontrib><creatorcontrib>Flatt, Andrew A.</creatorcontrib><creatorcontrib>Ratchford, Stephen M.</creatorcontrib><creatorcontrib>Grosicki, Gregory J.</creatorcontrib><title>Self-reported sleep quality is associated with central hemodynamics in healthy individuals</title><title>Sleep & breathing</title><addtitle>Sleep Breath</addtitle><addtitle>Sleep Breath</addtitle><description>Background
Insufficient sleep is associated with arterial stiffness and elevated cardiovascular disease risk. Central hemodynamics are influenced by arterial stiffness, yet independently predict cardiovascular risk. Relationships between sleep characteristics and central hemodynamic parameters are largely unexplored. We aimed to characterize the relationship between self-reported sleep quality and central hemodynamics in healthy individuals. To explore the secondary hypothesis that impairments in glucose metabolism may underlie relationships between sleep and central hemodynamic variables, we also explored associations between self-reported sleep quality and fasting blood glucose values.
Methods
Thirty-one healthy study subjects (20 to 69 years, 17 men) were free from metabolic or cardiovascular disease and did not take sleep medication. Self-reported sleep quality was obtained using the Pittsburgh Sleep Quality Index (PSQI) with normal sleepers defined by PSQI scores 0–5 and poor sleepers by PSQI score > 5. Relationships were assessed between PSQI, central hemodynamic profiles (systolic and diastolic blood pressures, pulse and augmentation pressures, augmentation index) estimated from oscillometric pulse wave analysis, and blood glucose values.
Results
Central pulse pressure was significantly elevated in poor (PSQI score > 5) compared with that in normal (PSQI scores 0–5) sleepers (
P
< 0.05). Linear regression models, adjusted for age, gender, and body mass index, demonstrated PSQI score to be an independent predictor (
P
< 0.05) of both central pulse (
β
= 0.469) and augmentation (
β
= 0.364) pressures. Global PSQI scores were not related to fasting blood glucose values (
r
= 0.045;
P
> 0.05).
Conclusions
Significant relationships between central pulse and augmentation pressures and self-reported sleep quality highlight the importance of considering sleep when examining lifestyle contributors to central hemodynamics.</description><subject>Blood</subject><subject>Body mass index</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Dentistry</subject><subject>Fasting</subject><subject>Glucose</subject><subject>Glucose metabolism</subject><subject>Hemodynamics</subject><subject>Internal Medicine</subject><subject>Laboratory testing</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neurology</subject><subject>Otorhinolaryngology</subject><subject>Pediatrics</subject><subject>Pneumology/Respiratory System</subject><subject>Quality</subject><subject>Regression analysis</subject><subject>Sleep</subject><subject>Sleep Breathing Physiology and Disorders • Short Communication</subject><issn>1520-9512</issn><issn>1522-1709</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ALSLI</sourceid><sourceid>M2R</sourceid><recordid>eNp9kDtPwzAUhS0EoqXwBxhQJBaWwPWrjkeEeEmVGICFxXIdh7rKo7UTUP89TlNAYmCwrq37neN7D0KnGC4xgLgKGFPCUyDQn4ykfA-NMSckxQLk_vYOqeSYjNBRCEsAzDKJD9GIEkoySWGM3p5tWaTerhrf2jwJpbWrZN3p0rWbxIVEh9AYp_vep2sXibF163WZLGzV5JtaV86ExNXxrct2ESV17j5cHg3CMTooYrEnuzpBr3e3LzcP6ezp_vHmepYaKnibUgGMgjRknhUF46aAjGNpJDCMGes3NCwy8xxATwthBEyxyYucYkw4aEMn6GLwXflm3dnQqsoFY8tS17bpgiJUskwQwUlEz_-gy6bzdZxOEUbpFCTNWKTIQBnfhOBtoVbeVdpvFAbVJ6-G5FVMXW2TVzyKznbW3byy-Y_kO-oI0AEIsVW_W__79z-2X2kxjXc</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Culver, Meral N.</creator><creator>Langan, Sean P.</creator><creator>Carreker, Jadeon</creator><creator>Flatt, Andrew A.</creator><creator>Ratchford, Stephen M.</creator><creator>Grosicki, Gregory J.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7T5</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88J</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2R</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8929-4903</orcidid></search><sort><creationdate>20200901</creationdate><title>Self-reported sleep quality is associated with central hemodynamics in healthy individuals</title><author>Culver, Meral N. ; Langan, Sean P. ; Carreker, Jadeon ; Flatt, Andrew A. ; Ratchford, Stephen M. ; Grosicki, Gregory J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-3704309c2b8ff45cf08519c90411441325c4370bd00a6f7c7061cdfd311250ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Blood</topic><topic>Body mass index</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Dentistry</topic><topic>Fasting</topic><topic>Glucose</topic><topic>Glucose metabolism</topic><topic>Hemodynamics</topic><topic>Internal Medicine</topic><topic>Laboratory testing</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neurology</topic><topic>Otorhinolaryngology</topic><topic>Pediatrics</topic><topic>Pneumology/Respiratory System</topic><topic>Quality</topic><topic>Regression analysis</topic><topic>Sleep</topic><topic>Sleep Breathing Physiology and Disorders • Short Communication</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Culver, Meral N.</creatorcontrib><creatorcontrib>Langan, Sean P.</creatorcontrib><creatorcontrib>Carreker, Jadeon</creatorcontrib><creatorcontrib>Flatt, Andrew A.</creatorcontrib><creatorcontrib>Ratchford, Stephen M.</creatorcontrib><creatorcontrib>Grosicki, Gregory J.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection【Remote access available】</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Social Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Sleep & breathing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Culver, Meral N.</au><au>Langan, Sean P.</au><au>Carreker, Jadeon</au><au>Flatt, Andrew A.</au><au>Ratchford, Stephen M.</au><au>Grosicki, Gregory J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Self-reported sleep quality is associated with central hemodynamics in healthy individuals</atitle><jtitle>Sleep & breathing</jtitle><stitle>Sleep Breath</stitle><addtitle>Sleep Breath</addtitle><date>2020-09-01</date><risdate>2020</risdate><volume>24</volume><issue>3</issue><spage>1083</spage><epage>1088</epage><pages>1083-1088</pages><issn>1520-9512</issn><eissn>1522-1709</eissn><abstract>Background
Insufficient sleep is associated with arterial stiffness and elevated cardiovascular disease risk. Central hemodynamics are influenced by arterial stiffness, yet independently predict cardiovascular risk. Relationships between sleep characteristics and central hemodynamic parameters are largely unexplored. We aimed to characterize the relationship between self-reported sleep quality and central hemodynamics in healthy individuals. To explore the secondary hypothesis that impairments in glucose metabolism may underlie relationships between sleep and central hemodynamic variables, we also explored associations between self-reported sleep quality and fasting blood glucose values.
Methods
Thirty-one healthy study subjects (20 to 69 years, 17 men) were free from metabolic or cardiovascular disease and did not take sleep medication. Self-reported sleep quality was obtained using the Pittsburgh Sleep Quality Index (PSQI) with normal sleepers defined by PSQI scores 0–5 and poor sleepers by PSQI score > 5. Relationships were assessed between PSQI, central hemodynamic profiles (systolic and diastolic blood pressures, pulse and augmentation pressures, augmentation index) estimated from oscillometric pulse wave analysis, and blood glucose values.
Results
Central pulse pressure was significantly elevated in poor (PSQI score > 5) compared with that in normal (PSQI scores 0–5) sleepers (
P
< 0.05). Linear regression models, adjusted for age, gender, and body mass index, demonstrated PSQI score to be an independent predictor (
P
< 0.05) of both central pulse (
β
= 0.469) and augmentation (
β
= 0.364) pressures. Global PSQI scores were not related to fasting blood glucose values (
r
= 0.045;
P
> 0.05).
Conclusions
Significant relationships between central pulse and augmentation pressures and self-reported sleep quality highlight the importance of considering sleep when examining lifestyle contributors to central hemodynamics.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>32328930</pmid><doi>10.1007/s11325-020-02082-5</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-8929-4903</orcidid></addata></record> |
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source | Social Science Premium Collection; Springer Link |
subjects | Blood Body mass index Cardiovascular disease Cardiovascular diseases Dentistry Fasting Glucose Glucose metabolism Hemodynamics Internal Medicine Laboratory testing Medicine Medicine & Public Health Neurology Otorhinolaryngology Pediatrics Pneumology/Respiratory System Quality Regression analysis Sleep Sleep Breathing Physiology and Disorders • Short Communication |
title | Self-reported sleep quality is associated with central hemodynamics in healthy individuals |
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