Association between Objective Activity Intensity and Heart Rate Variability: Cardiovascular Disease Risk Factor Mediation (CARDIA).

Tytuł:: Association between Objective Activity Intensity and Heart Rate Variability: Cardiovascular Disease Risk Factor Mediation (CARDIA).
Autorzy:: Pope ZC; Division of Epidemiology and Community Health, University of Minnesota, School of Public Health, Minneapolis, MN.
Gabriel KP
Whitaker KM; Department of Health and Human Physiology and Department of Epidemiology, University of Iowa, Iowa City, IA.
Chen LY; Cardiovascular Division, Department of Medicine, University of Minnesota, Minneapolis, MN.
Schreiner PJ; Division of Epidemiology and Community Health, University of Minnesota, School of Public Health, Minneapolis, MN.
Jacobs DR Jr; Division of Epidemiology and Community Health, University of Minnesota, School of Public Health, Minneapolis, MN.
Sternfeld B; Kaiser Permanente Division of Research, Oakland, CA.
Carr JJ; Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN.
Lloyd-Jones DM; Feinberg School of Medicine, Northwestern University, Chicago, IL.
Pereira MA; Division of Epidemiology and Community Health, University of Minnesota, School of Public Health, Minneapolis, MN.
Źródło:: Medicine and science in sports and exercise [Med Sci Sports Exerc] 2020 Jun; Vol. 52 (6), pp. 1314-1321.
Typ publikacji:: Journal Article; Research Support, N.I.H., Extramural; Research Support, N.I.H., Intramural
Język:: English
Imprint Name(s):: Publication: Hagerstown, Md : Lippincott Williams & Wilkins
Original Publication: Madison, Wis., American College of Sports Medicine.
MeSH Terms:: Cardiorespiratory Fitness*
Heart Rate*
Cardiovascular Diseases/*physiopathology
Exercise/*physiology
Actigraphy/instrumentation ; Adult ; Autonomic Nervous System/physiology ; Blood Glucose/metabolism ; Cardiovascular Diseases/prevention & control ; Female ; Fitness Trackers ; Glucose Tolerance Test ; Humans ; Insulin/blood ; Linear Models ; Male ; Middle Aged ; Risk Factors
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Grant Information:: HHSN268201800003I United States HL NHLBI NIH HHS; R01 HL098445 United States HL NHLBI NIH HHS; HHSN268201800005I United States HL NHLBI NIH HHS; HHSN268201800006I United States HL NHLBI NIH HHS; R01 HL078972 United States HL NHLBI NIH HHS; HHSN268201800004I United States HL NHLBI NIH HHS; T32 HL007779 United States HL NHLBI NIH HHS; HHSN268201800007I United States HL NHLBI NIH HHS
Substance Nomenclature:: 0 (Blood Glucose)
0 (Insulin)
Entry Date(s):: Date Created: 20200520 Date Completed: 20201106 Latest Revision: 20210602
Update Code:: 20240105
PubMed Central ID:: PMC7275933
DOI:: 10.1249/MSS.0000000000002259
PMID:: 32427750
: Czasopismo naukowe

Purpose: We evaluated the associations between accelerometer-estimated physical activity (PA) intensity and heart rate variability (HRV) and examined mediation of these associations by glycemic control indices and other cardiovascular disease risk factors.
Methods: Data were from 1668 participants (X[Combining Overline]age = 45.9 ± 3.5 yr, 58.0% female, 39.9% black) who participated in year 20 (2005-2006) of the Coronary Artery Risk Development in Young Adults Fitness Study. The ActiGraph 7164 estimated participants' mean minutes per day of vigorous-intensity PA (VPA), moderate-intensity PA (MPA), and light-intensity PA (LPA) over 7 d. Three sequential 10-s 12-lead ECG strips were used to derive standard deviation of all normal RR intervals (SDNN) and root mean square of all successive RR intervals (rMSSD) HRV. Mediators representing glycemic control indices included fasting glucose, fasting insulin, and 2-h oral glucose tolerance, with other mediators being traditional cardiovascular disease risk factors. Multiple linear regression assessed independent associations of PA intensity with HRV per 1-SD. Mediation analyses computed the proportion of the PA-HRV association attributable to physiological mediators.
Results: Participants averaged 2.7 ± 6.2 min·d, 33.0 ± 22.0 min·d, and 360.2 ± 83.8 min·d of VPA, MPA, and LPA, respectively, with mean values for SDNN (32.6 ± 22.4 ms) and rMSSD (34.0 ± 24.8 ms) similar. After adjustment for demographic and lifestyle behaviors, VPA was associated with both HRV metrics (SDNN: std beta = 0.06 [0.03, 0.10]; rMSSD: std beta = 0.08 [0.05, 0.12]) and LPA with rMSSD only (std beta = 0.05 [0.01, 0.08]). Fasting insulin and glucose mediated 11.6% to 20.7% of the association of VPA and LPA with HRV, with triglycerides also potentially mediating these associations (range, 9.6%-13.4%).
Conclusions: Accelerometer-estimated VPA was associated with higher (i.e., improved) HRV. Light-intensity PA also demonstrated a positive association. Mediation analyses suggested these associations may be most attributable to glucose-insulin dynamics.

Erratum in: Med Sci Sports Exerc. 2020 Sep 1;52(9):2060. (PMID: 33577240)

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