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The circadian pattern of cardiac autonomic modulation in a middle-aged population

Objectives To examine the circadian pattern of cardiac autonomic modulation (CAM) and its attributes in general population. Methods We obtained 24-h beat-to-beat RR data using a high resolution 12-lead Holter ECG in a community-dwelling sample of 115 non-smokers. We performed heart rate variability...

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Published in:Clinical autonomic research 2011-06, Vol.21 (3), p.143-150
Main Authors: Li, Xian, Shaffer, Michele L., Rodriguez-Colon, Sol, He, Fan, Wolbrette, Deborah L., Alagona, Peter, Wu, Chuntao, Liao, Duanping
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cited_by cdi_FETCH-LOGICAL-c534t-834f1e4ca33c580c57cc4d0dbaa9f14555eab1c0a317234c864957a109b801373
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container_end_page 150
container_issue 3
container_start_page 143
container_title Clinical autonomic research
container_volume 21
creator Li, Xian
Shaffer, Michele L.
Rodriguez-Colon, Sol
He, Fan
Wolbrette, Deborah L.
Alagona, Peter
Wu, Chuntao
Liao, Duanping
description Objectives To examine the circadian pattern of cardiac autonomic modulation (CAM) and its attributes in general population. Methods We obtained 24-h beat-to-beat RR data using a high resolution 12-lead Holter ECG in a community-dwelling sample of 115 non-smokers. We performed heart rate variability (HRV) analysis on the normal RRs from each 5-min segment to obtain time-specific HRV indices: high (HF; 0.15–0.40 Hz) and low (LF; 0.04–0.15 Hz) frequency powers, standard deviation of RR intervals (SDNN), and the square root of the mean of the sum of the squared differences of the adjacent RR intervals (RMSSD). For each individual, we fit the segment-specific HRV data to a cosine periodic function, and estimated 3 individual-level cosine function parameters to quantify the circadian variation: the mean ( M ), amplitude ( A ), and acrophase ( θ ). We then used a random-effects meta-analysis to summarize the M , A , and θ , and their 95% confidence intervals (CI). Results The mean age was 56 (SD 8) years, with 63% female and 76% white. The averages of M , A and θ (95%CI) of log HF were 3.59 (3.43–3.76) ms 2 , 0.61 (0.54–0.68) ms 2 , and 3:10 (2:25–3:55) AM, respectively, and that of RMSSD were 22.3 (20.5–24.1) ms, 6.5 (5.4–7.5) ms, 3:45 (2:55–4:35) AM, respectively. Older age is associated with lower mean of HRV. Males have higher oscillation amplitude than females. The acrophase of LF/HF was earlier in females than in males, and in younger individuals than in older individuals. Conclusions The circadian pattern of CAM can be quantified by 3 cosine parameters of HRV, which are correlated with age and gender.
doi_str_mv 10.1007/s10286-010-0112-4
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Methods We obtained 24-h beat-to-beat RR data using a high resolution 12-lead Holter ECG in a community-dwelling sample of 115 non-smokers. We performed heart rate variability (HRV) analysis on the normal RRs from each 5-min segment to obtain time-specific HRV indices: high (HF; 0.15–0.40 Hz) and low (LF; 0.04–0.15 Hz) frequency powers, standard deviation of RR intervals (SDNN), and the square root of the mean of the sum of the squared differences of the adjacent RR intervals (RMSSD). For each individual, we fit the segment-specific HRV data to a cosine periodic function, and estimated 3 individual-level cosine function parameters to quantify the circadian variation: the mean ( M ), amplitude ( A ), and acrophase ( θ ). We then used a random-effects meta-analysis to summarize the M , A , and θ , and their 95% confidence intervals (CI). Results The mean age was 56 (SD 8) years, with 63% female and 76% white. The averages of M , A and θ (95%CI) of log HF were 3.59 (3.43–3.76) ms 2 , 0.61 (0.54–0.68) ms 2 , and 3:10 (2:25–3:55) AM, respectively, and that of RMSSD were 22.3 (20.5–24.1) ms, 6.5 (5.4–7.5) ms, 3:45 (2:55–4:35) AM, respectively. Older age is associated with lower mean of HRV. Males have higher oscillation amplitude than females. The acrophase of LF/HF was earlier in females than in males, and in younger individuals than in older individuals. Conclusions The circadian pattern of CAM can be quantified by 3 cosine parameters of HRV, which are correlated with age and gender.</description><identifier>ISSN: 0959-9851</identifier><identifier>EISSN: 1619-1560</identifier><identifier>DOI: 10.1007/s10286-010-0112-4</identifier><identifier>PMID: 21240538</identifier><identifier>CODEN: CAURE9</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Aging - physiology ; Autonomic Nervous System - physiology ; Cardiology ; Circadian Rhythm - physiology ; Diabetes ; Electrocardiography, Ambulatory ; Endocrinology ; Female ; Gastroenterology ; Heart - innervation ; Heart - physiology ; Heart Rate - physiology ; Humans ; Male ; Medicine ; Medicine &amp; Public Health ; Middle Aged ; Neurology ; Ophthalmology ; Research Article ; Sex Characteristics</subject><ispartof>Clinical autonomic research, 2011-06, Vol.21 (3), p.143-150</ispartof><rights>The Author(s) 2011</rights><rights>Springer-Verlag 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c534t-834f1e4ca33c580c57cc4d0dbaa9f14555eab1c0a317234c864957a109b801373</citedby><cites>FETCH-LOGICAL-c534t-834f1e4ca33c580c57cc4d0dbaa9f14555eab1c0a317234c864957a109b801373</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21240538$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Xian</creatorcontrib><creatorcontrib>Shaffer, Michele L.</creatorcontrib><creatorcontrib>Rodriguez-Colon, Sol</creatorcontrib><creatorcontrib>He, Fan</creatorcontrib><creatorcontrib>Wolbrette, Deborah L.</creatorcontrib><creatorcontrib>Alagona, Peter</creatorcontrib><creatorcontrib>Wu, Chuntao</creatorcontrib><creatorcontrib>Liao, Duanping</creatorcontrib><title>The circadian pattern of cardiac autonomic modulation in a middle-aged population</title><title>Clinical autonomic research</title><addtitle>Clin Auton Res</addtitle><addtitle>Clin Auton Res</addtitle><description>Objectives To examine the circadian pattern of cardiac autonomic modulation (CAM) and its attributes in general population. Methods We obtained 24-h beat-to-beat RR data using a high resolution 12-lead Holter ECG in a community-dwelling sample of 115 non-smokers. We performed heart rate variability (HRV) analysis on the normal RRs from each 5-min segment to obtain time-specific HRV indices: high (HF; 0.15–0.40 Hz) and low (LF; 0.04–0.15 Hz) frequency powers, standard deviation of RR intervals (SDNN), and the square root of the mean of the sum of the squared differences of the adjacent RR intervals (RMSSD). For each individual, we fit the segment-specific HRV data to a cosine periodic function, and estimated 3 individual-level cosine function parameters to quantify the circadian variation: the mean ( M ), amplitude ( A ), and acrophase ( θ ). We then used a random-effects meta-analysis to summarize the M , A , and θ , and their 95% confidence intervals (CI). Results The mean age was 56 (SD 8) years, with 63% female and 76% white. The averages of M , A and θ (95%CI) of log HF were 3.59 (3.43–3.76) ms 2 , 0.61 (0.54–0.68) ms 2 , and 3:10 (2:25–3:55) AM, respectively, and that of RMSSD were 22.3 (20.5–24.1) ms, 6.5 (5.4–7.5) ms, 3:45 (2:55–4:35) AM, respectively. Older age is associated with lower mean of HRV. Males have higher oscillation amplitude than females. The acrophase of LF/HF was earlier in females than in males, and in younger individuals than in older individuals. 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Methods We obtained 24-h beat-to-beat RR data using a high resolution 12-lead Holter ECG in a community-dwelling sample of 115 non-smokers. We performed heart rate variability (HRV) analysis on the normal RRs from each 5-min segment to obtain time-specific HRV indices: high (HF; 0.15–0.40 Hz) and low (LF; 0.04–0.15 Hz) frequency powers, standard deviation of RR intervals (SDNN), and the square root of the mean of the sum of the squared differences of the adjacent RR intervals (RMSSD). For each individual, we fit the segment-specific HRV data to a cosine periodic function, and estimated 3 individual-level cosine function parameters to quantify the circadian variation: the mean ( M ), amplitude ( A ), and acrophase ( θ ). We then used a random-effects meta-analysis to summarize the M , A , and θ , and their 95% confidence intervals (CI). Results The mean age was 56 (SD 8) years, with 63% female and 76% white. The averages of M , A and θ (95%CI) of log HF were 3.59 (3.43–3.76) ms 2 , 0.61 (0.54–0.68) ms 2 , and 3:10 (2:25–3:55) AM, respectively, and that of RMSSD were 22.3 (20.5–24.1) ms, 6.5 (5.4–7.5) ms, 3:45 (2:55–4:35) AM, respectively. Older age is associated with lower mean of HRV. Males have higher oscillation amplitude than females. The acrophase of LF/HF was earlier in females than in males, and in younger individuals than in older individuals. Conclusions The circadian pattern of CAM can be quantified by 3 cosine parameters of HRV, which are correlated with age and gender.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><pmid>21240538</pmid><doi>10.1007/s10286-010-0112-4</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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subjects Aging - physiology
Autonomic Nervous System - physiology
Cardiology
Circadian Rhythm - physiology
Diabetes
Electrocardiography, Ambulatory
Endocrinology
Female
Gastroenterology
Heart - innervation
Heart - physiology
Heart Rate - physiology
Humans
Male
Medicine
Medicine & Public Health
Middle Aged
Neurology
Ophthalmology
Research Article
Sex Characteristics
title The circadian pattern of cardiac autonomic modulation in a middle-aged population
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