Dai Jie, Wu Hua-Ying, Jiang Xiao-Dong, Tang Yong-Jie, Tang Hao-Kai, Meng Li, Huang Na, Gao Jing-Yu, Li Jian, Baker Julien S, Zheng Chan-Juan, Yang Yi-De
Department of Child and Adolescent Health, School of Medicine, Hunan Normal University, Changsha, China.
Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China.
Front Pediatr. 2023 Mar 2;11:1062300. doi: 10.3389/fped.2023.1062300. eCollection 2023.
Blood pressure variability (BPV) has been reported to be a predictor of cardiovascular and some cognitive diseases. However, the association between napping and BPV remains unknown. This study aimed to explore the association between napping and BPV.
A cross-sectional study including 105 university students was conducted. Participants' 24 h ambulatory blood pressure monitoring (24 h ABPM) were measured, and napping behaviors were investigated. BPV were measured by the 24 h ABPM, included standard deviation (SD), coefficient of variation (CV), and average real variability (ARV).
Among the participants, 61.9% reported daytime napping. We found that nap duration was significantly associated with daytime CV of diastolic blood pressure (DBP) ( = 0.250, = 0.010), nighttime CV of systolic blood pressure (SBP) ( = 0.217, = 0.026), 24 h WCV of DBP ( = 0.238, = 0.014), 24 h ARV of SBP ( = 0.246, = 0.011) and 24 h ARV of DBP ( = 0.291, = 0.003). Compared with the no napping group, 24 h WCV of DBP, daytime CV of DBP, and daytime SD of DBP were significantly higher in participants with napping duration >60 min. With multiple regression analysis we found that nap duration was an independent predictor for 24 h ARV of SBP ( = 0.859, 95% CI, 0.101-1.616, = 0.027) and 24 h ARV of DBP ( = 0.674, 95% CI, 0.173-1.175, = 0.009).
Napping durations are associated with BPV among university students. Especially those with napping durations >60 min had a significantly higher BPV than those non-nappers.
据报道,血压变异性(BPV)是心血管疾病和一些认知疾病的预测指标。然而,午睡与BPV之间的关联尚不清楚。本研究旨在探讨午睡与BPV之间的关联。
进行了一项横断面研究,纳入105名大学生。测量参与者的24小时动态血压监测(24 h ABPM),并调查午睡行为。通过24 h ABPM测量BPV,包括标准差(SD)、变异系数(CV)和平均实际变异性(ARV)。
在参与者中,61.9%的人报告有白天午睡。我们发现午睡时长与舒张压(DBP)的日间CV(r = 0.250,P = 0.010)、收缩压(SBP)的夜间CV(r = 0.217,P = 0.026)、DBP的24小时加权CV(r = 0.238,P = 0.014)、SBP的24小时ARV(r = 0.246,P = 0.011)和DBP的24小时ARV(r = 0.291,P = 0.003)显著相关。与不午睡组相比,午睡时长>60分钟的参与者DBP的24小时加权CV、DBP的日间CV和DBP的日间SD显著更高。通过多元回归分析,我们发现午睡时长是SBP的24小时ARV(β = 0.859,95%CI,0.101 - 1.616,P = 0.027)和DBP的24小时ARV(β = 0.674,95%CI,0.173 - 1.175,P = 0.009)的独立预测因素。
大学生的午睡时长与BPV相关。尤其是午睡时长>60分钟的学生,其BPV显著高于不午睡的学生。