Polysomnographic evaluation of sleep quality and quantitative variables in women as a function of mood, reproductive status, and age
This archival cross-sectional investigation examined the impact of mood, reproductive status (RS), and age on polysomnographic (PSG) measures in women. PSG was performed on 73 normal controls (NC) and 64 depressed patients (DP), in the course of studies in menstruating, pregnant, postpartum, and per...
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Veröffentlicht in: | Dialogues in clinical neuroscience 2012-12, Vol.14 (4), p.413-424 |
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description | This archival cross-sectional investigation examined the impact of mood, reproductive status (RS), and age on polysomnographic (PSG) measures in women. PSG was performed on 73 normal controls (NC) and 64 depressed patients (DP), in the course of studies in menstruating, pregnant, postpartum, and peri- and postmenopausal women. A two-factor, between-subjects multivariate analysis of variance (MANOVA) was used to test the main effects of reproductive status (RS: menstrual vs pregnant vs postpartum vs menopausal) and diagnosis (NC vs DP), and their interaction, on PSG measures. To further refine the analyses, a two-factor, between subjects MANOVA was used to test the main effects of age (19 to 27 vs 28 to 36 vs 37 to 45 vs 46+ years) and diagnosis on the PSG data. Analyses revealed that in DP women, rapid eye movement (REM) sleep percentage was significantly elevated relative to NC across both RS and age. Significant differences in sleep efficiency, Stage 1%, and REM density were associated with RS; differences in total sleep time, Stage 2 percentage, and Stage 4 percentage were associated with differences in age. Both RS and age were related to differences in sleep latency, Stage 3 percentage, and Delta percentage. Finally, wake after sleep onset time, REM percentage, and REM latency did not vary with respect to RS or age. Overall, this investigation examined three major variables (mood, RS, and age) that are known to impact sleep in women. Of the variables, age appeared to have the greatest impact on PSG sleep measures, reflecting changes occurring across the lifespan. |
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PSG was performed on 73 normal controls (NC) and 64 depressed patients (DP), in the course of studies in menstruating, pregnant, postpartum, and peri- and postmenopausal women. A two-factor, between-subjects multivariate analysis of variance (MANOVA) was used to test the main effects of reproductive status (RS: menstrual vs pregnant vs postpartum vs menopausal) and diagnosis (NC vs DP), and their interaction, on PSG measures. To further refine the analyses, a two-factor, between subjects MANOVA was used to test the main effects of age (19 to 27 vs 28 to 36 vs 37 to 45 vs 46+ years) and diagnosis on the PSG data. Analyses revealed that in DP women, rapid eye movement (REM) sleep percentage was significantly elevated relative to NC across both RS and age. Significant differences in sleep efficiency, Stage 1%, and REM density were associated with RS; differences in total sleep time, Stage 2 percentage, and Stage 4 percentage were associated with differences in age. Both RS and age were related to differences in sleep latency, Stage 3 percentage, and Delta percentage. Finally, wake after sleep onset time, REM percentage, and REM latency did not vary with respect to RS or age. Overall, this investigation examined three major variables (mood, RS, and age) that are known to impact sleep in women. 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PSG was performed on 73 normal controls (NC) and 64 depressed patients (DP), in the course of studies in menstruating, pregnant, postpartum, and peri- and postmenopausal women. A two-factor, between-subjects multivariate analysis of variance (MANOVA) was used to test the main effects of reproductive status (RS: menstrual vs pregnant vs postpartum vs menopausal) and diagnosis (NC vs DP), and their interaction, on PSG measures. To further refine the analyses, a two-factor, between subjects MANOVA was used to test the main effects of age (19 to 27 vs 28 to 36 vs 37 to 45 vs 46+ years) and diagnosis on the PSG data. Analyses revealed that in DP women, rapid eye movement (REM) sleep percentage was significantly elevated relative to NC across both RS and age. Significant differences in sleep efficiency, Stage 1%, and REM density were associated with RS; differences in total sleep time, Stage 2 percentage, and Stage 4 percentage were associated with differences in age. Both RS and age were related to differences in sleep latency, Stage 3 percentage, and Delta percentage. Finally, wake after sleep onset time, REM percentage, and REM latency did not vary with respect to RS or age. Overall, this investigation examined three major variables (mood, RS, and age) that are known to impact sleep in women. Of the variables, age appeared to have the greatest impact on PSG sleep measures, reflecting changes occurring across the lifespan.</description><subject>Adult</subject><subject>Affect - physiology</subject><subject>Age Factors</subject><subject>aging</subject><subject>Clinical Research</subject><subject>Cross-Sectional Studies</subject><subject>depression</subject><subject>Female</subject><subject>Humans</subject><subject>Middle Aged</subject><subject>Polysomnography</subject><subject>polysomnography (PSG)</subject><subject>Reproductive History</subject><subject>reproductive status</subject><subject>Sleep - physiology</subject><subject>sleep quality</subject><subject>Young Adult</subject><issn>1958-5969</issn><issn>1294-8322</issn><issn>1958-5969</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>EIF</sourceid><recordid>eNp9kU9r3DAQxU1padK0XyHo2EN2Y1mSLV8KYdN_ENpCcxdjebSrIEuOZG_Yez94tbtJSC89zcC833tCryjOablkVMrm8nr14_eyKmm1pHzJLzd3IRrzqjilrZAL0dbt6xf7SfEupbuyFHUm3hYnFWMt47Q5Lf78Cm6XwuDDOsK4sZrgFtwMkw2eBEOSQxzJ_QzOTjsCvt_vfrJTVmyRbCFa6BwmYj15CAN6AokAMbPXTxZDCP0FiTjG0M_6gKWMz-ni4AdrfF-8MeASfnicZ8Xtl8-3q2-Lm59fv6-ubhaaycYskIIpeQm6YVJQLSnHDrGmrJENY4JDycoOhBQoRMWg7TSjtWgYcqzbqmZnxaej7Th3A_Ya_RTBqTHaAeJOBbDq34u3G7UOW8WEyL_VZoOPjwYx3M-YJjXYpNE58BjmpGglBa9FK1mW1kepjiGliOY5hpbq0KDaN6j2DSrKFVfHBjN4_vKRz9hTZVlwdRRYb0Ic4CFE16sJdi7zEby2KQf8P-QvKfazvQ</recordid><startdate>201212</startdate><enddate>201212</enddate><creator>Orff, Henry J.</creator><creator>Meliska, Charles J.</creator><creator>Lopez, Ana</creator><creator>Martinez, Fernando</creator><creator>Sorenson, Diane</creator><creator>Parry, Barbara L.</creator><general>Taylor & Francis</general><general>Les Laboratoires Servier</general><scope>0YH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201212</creationdate><title>Polysomnographic evaluation of sleep quality and quantitative variables in women as a function of mood, reproductive status, and age</title><author>Orff, Henry J. ; Meliska, Charles J. ; Lopez, Ana ; Martinez, Fernando ; Sorenson, Diane ; Parry, Barbara L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c387f-e1af040ac73851c814ebee6137873354a030ba585e5523a9bc316573e4e69263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Affect - physiology</topic><topic>Age Factors</topic><topic>aging</topic><topic>Clinical Research</topic><topic>Cross-Sectional Studies</topic><topic>depression</topic><topic>Female</topic><topic>Humans</topic><topic>Middle Aged</topic><topic>Polysomnography</topic><topic>polysomnography (PSG)</topic><topic>Reproductive History</topic><topic>reproductive status</topic><topic>Sleep - physiology</topic><topic>sleep quality</topic><topic>Young Adult</topic><toplevel>online_resources</toplevel><creatorcontrib>Orff, Henry J.</creatorcontrib><creatorcontrib>Meliska, Charles J.</creatorcontrib><creatorcontrib>Lopez, Ana</creatorcontrib><creatorcontrib>Martinez, Fernando</creatorcontrib><creatorcontrib>Sorenson, Diane</creatorcontrib><creatorcontrib>Parry, Barbara L.</creatorcontrib><collection>Taylor & Francis Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Dialogues in clinical neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Orff, Henry J.</au><au>Meliska, Charles J.</au><au>Lopez, Ana</au><au>Martinez, Fernando</au><au>Sorenson, Diane</au><au>Parry, Barbara L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Polysomnographic evaluation of sleep quality and quantitative variables in women as a function of mood, reproductive status, and age</atitle><jtitle>Dialogues in clinical neuroscience</jtitle><addtitle>Dialogues Clin Neurosci</addtitle><date>2012-12</date><risdate>2012</risdate><volume>14</volume><issue>4</issue><spage>413</spage><epage>424</epage><pages>413-424</pages><issn>1958-5969</issn><issn>1294-8322</issn><eissn>1958-5969</eissn><abstract>This archival cross-sectional investigation examined the impact of mood, reproductive status (RS), and age on polysomnographic (PSG) measures in women. 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Both RS and age were related to differences in sleep latency, Stage 3 percentage, and Delta percentage. Finally, wake after sleep onset time, REM percentage, and REM latency did not vary with respect to RS or age. Overall, this investigation examined three major variables (mood, RS, and age) that are known to impact sleep in women. Of the variables, age appeared to have the greatest impact on PSG sleep measures, reflecting changes occurring across the lifespan.</abstract><cop>England</cop><pub>Taylor & Francis</pub><pmid>23393417</pmid><doi>10.31887/DCNS.2012.14.4/hjorff</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Affect - physiology Age Factors aging Clinical Research Cross-Sectional Studies depression Female Humans Middle Aged Polysomnography polysomnography (PSG) Reproductive History reproductive status Sleep - physiology sleep quality Young Adult |
title | Polysomnographic evaluation of sleep quality and quantitative variables in women as a function of mood, reproductive status, and age |
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