title: Associated factors of home versus ambulatory heart rate variability in the general population: the Ohasama study.
abstract: We previously demonstrated that heart rate (HR) variability obtained by daytime ambulatory monitoring and that of daily home measurement associated differently with cardiovascular mortality risk; cardiovascular mortality was linked with decreased daytime ambulatory HR variability and increased day-by-day home HR variability. The aim of this study was to identify factors contributing to each variability, clarifying possible reasons for their different predictive values. We obtained daytime ambulatory HR and home HR in 538 individuals of a general Japanese population aged ≥55 years. Daytime ambulatory HR variability and day-by-day home HR variability were estimated as a standard deviation measured every 30 min by daytime ambulatory monitoring and day-by-day home measurements once in the morning for 4 weeks, respectively. There was only weak correlation between daytime ambulatory HR variability and day-by-day home HR variability (r = 0.08∼0.14). In a multiple regression model, daytime ambulatory HR variability was associated with daytime ambulatory HR (P < 0.0001), daytime ambulatory blood pressure (BP) variability (P < 0.0001), and male sex (P = 0.003), while negatively associated with daytime ambulatory systolic blood pressure (SBP) (P < 0.0001) and smoking (P = 0.038). Meanwhile, day-by-day home HR variability was positively associated with home HR (P < 0.0001), day-by-day home BP variability (P < 0.0001), and male sex (P = 0.018). Associated factors of daytime ambulatory HR variability and day-by-day home HR variability were different. Our findings suggest that HR variabilities by different intervals of measurements might be mediated by different mechanisms.
authors.affiliation: Tohoku University Graduate School of Medicine and Pharmaceutical Science, Sendai, Japan.
authors.forename: Kenta
authors.initials: K
authors.lastname: Gonokami
authors.forename: Masahiro
authors.initials: M
authors.lastname: Kikuya
authors.forename: Takayoshi
authors.initials: T
authors.lastname: Ohkubo
authors.forename: Michihiro
authors.initials: M
authors.lastname: Satoh
authors.forename: Takanao
authors.initials: T
authors.lastname: Hashimoto
authors.forename: Takuo
authors.initials: T
authors.lastname: Hirose
authors.forename: Taku
authors.initials: T
authors.lastname: Obara
authors.forename: Hirohito
authors.initials: H
authors.lastname: Metoki
authors.forename: Ryusuke
authors.initials: R
authors.lastname: Inoue
authors.forename: Kei
authors.initials: K
authors.lastname: Asayama
authors.forename: Atsuhiro
authors.initials: A
authors.lastname: Kanno
authors.forename: Kazuhito
authors.initials: K
authors.lastname: Totsune
authors.forename: Haruhisa
authors.initials: H
authors.lastname: Hoshi
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Satoh
authors.forename: Yutaka
authors.initials: Y
authors.lastname: Imai
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000959:Antihypertensive Agents / Q000627:therapeutic use; D001794:Blood Pressure / Q000502:physiology*; D018660:Blood Pressure Monitoring, Ambulatory / Q000379:methods*; D002940:Circadian Rhythm / Q000502:physiology*; D003430:Cross-Sectional Studies; D005260:Female; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D006973:Hypertension / Q000188:drug therapy / Q000503:physiopathology; D008297:Male; D008875:Middle Aged; D018670:Monitoring, Ambulatory; D012044:Regression Analysis
chemical_list: D000959:Antihypertensive Agents