| Literature DB >> 33990791 |
Yosuke Inoue1, Keisuke Kuwahara2,3, Huan Hu2, Shuichiro Yamamoto4, Tohru Nakagawa4, Toru Honda4, Masafumi Eguchi5, Takeshi Kochi5, Hiroko Okazaki6, Toshiaki Miyamoto7, Makiko Shimizu8, Takayuki Ogasawara9, Naoko Sasaki9, Akihiko Uehara10, Makoto Yamamoto11, Kentaro Tomita12, Ai Hori13, Satsue Nagahama14, Isamu Kabe15, Tetsuya Mizoue2, Seitaro Dohi6.
Abstract
Increased visit-to-visit variability (VVV) of blood pressure, which is calculated based on several readings, has been suggested to be a significant predictor of cardiovascular events and mortality, independent of mean blood pressure. This study examined associations between the VVV of systolic blood pressure (SBP) measured annually and cardiovascular disease (CVD) events among 72,617 Japanese subjects. Data were obtained from the Japan Epidemiology Collaboration on Occupational Health Study, which is an ongoing epidemiological survey of workers in Japan. VVV was calculated as the coefficient of variation of SBP readings from 2008 to 2011; information on fatal and nonfatal CVD events was collected from registries of specific outcomes between April 2012 and March 2019. A Cox proportional hazards model was applied to investigate associations after adjusting for mean SBP between 2008 and 2011 and covariates. During the 7-year follow-up period, there were 63 CVD fatalities and 314 CVD events (combining fatal and nonfatal events). The results showed that a one-standard deviation increase in VVV was associated with a significant increase in the risk of CVD mortality (hazard ratio [HR] = 1.42; 95% confidence interval [CI] = 1.32-1.54); those in the highest tertile had a 3.20 times (95% CI = 1.26-8.17) higher risk of CVD mortality than those in the lowest tertile. We found less pronounced associations regarding CVD events (HR = 1.08, 95% CI = 1.02-1.15). In conclusion, VVV was significantly associated with CVD mortality in our Japanese working population.Entities:
Keywords: Asia; Cardiovascular diseases; Longitudinal studies; Occupational health
Mesh:
Year: 2021 PMID: 33990791 DOI: 10.1038/s41440-021-00654-w
Source DB: PubMed Journal: Hypertens Res ISSN: 0916-9636 Impact factor: 3.872