title: Mother-offspring aggregation in home versus conventional blood pressure in the Tohoku Study of Child Development (TSCD).
abstract: OBJECTIVE
  Few studies described the home blood pressure (HBP) in young children. Using intrafamilial correlations of blood pressure as research focus, we assessed the feasibility of HBP monitoring in this age group.
  
  
  METHODS
  We enrolled 382 mothers (mean age 38.8 years) and singletons (7.0 years) in theTohoku Study of Child Development.We measured their conventional blood pressure (CBP; single reading) at an examination centre. Participants monitored HBP in the morning. We used the OMRON HEM-70801C for CBP and HBP measurement. In a separate group of 84 children (mean age 7.7 years), we compared blood pressure readings obtained by the OMRON monitor and the Dinamap Pro 100, a device approved by FDA for use in children. We used correlation coefficients as measure of intrafamilial aggregation, while accounting for the mothers' age, body mass index, heart rate and smoking and drinking habits and the children's age, height, and heart rate.
  
  
  RESULTS
  Mother-offspring correlations were closer (P < or = 0.003) for HBP than CBP for systolic pressure [0.28 (P < 0.0001) vs 0.06 (P = 0.26)] and diastolic pressure [0.28 (P < 0.0001) vs 0.02 (P = 0.65)].The between-device differences (OMRON minus Dinamap) averaged 7.8 +/- 6.0 mmHg systolic and 5.8 +/- 5.5 mmHg diastolic.
  
  
  CONCLUSIONS
  HBP monitoring is an easily applicable method to assess intrafamilial blood pressure aggregation in young children and outperforms CBP. Validation protocols for HBP devices in young children need revision, because the Korotkoff method is not practicable at this age and there is no agreed alternative reference method.
authors.affiliation: Studies Coordinating Centre, Division of Hypertension and Cardiovascular Rehabilitation, Dept. of Cardiovascular Diseases, University of Leuven, Leuven, Belgium.
authors.forename: Kei
authors.initials: K
authors.lastname: Asayama
authors.forename: Jan A
authors.initials: JA
authors.lastname: Staessen
authors.forename: Katsuhisa
authors.initials: K
authors.lastname: Hayashi
authors.forename: Miki
authors.initials: M
authors.lastname: Hosaka
authors.forename: Nozomi
authors.initials: N
authors.lastname: Tatsuta
authors.forename: Naoyuki
authors.initials: N
authors.lastname: Kurokawa
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: Masahiro
authors.initials: M
authors.lastname: Kikuya
authors.forename: Takayoshi
authors.initials: T
authors.lastname: Ohkubo
authors.forename: Kunihiko
authors.initials: K
authors.lastname: Nakai
authors.forename: Yutaka
authors.initials: Y
authors.lastname: Imai
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Satoh
mesh_terms: D000293:Adolescent; D000328:Adult; D015190:Blood Glucose Self-Monitoring; D002648:Child; D002657:Child Development; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D007564:Japan; D008137:Longitudinal Studies; D008297:Male; D009991:Oscillometry