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通过久坐不动的健康成年人的非线性心率变异性结果评估自主神经系统。

Assessment of autonomous nerve system through non-linear heart rate variability outcomes in sedentary healthy adults.

作者信息

Navarro-Lomas Gines, De-la-O Alejandro, Jurado-Fasoli Lucas, Castillo Manuel J, Femia Pedro, Amaro-Gahete Francisco J

机构信息

EFFECTS-262 Research Group, Department of Physiology, University of Granada, Granada, Spain.

Department of Statistics, University of Granada, Granada, Spain.

出版信息

PeerJ. 2020 Nov 2;8:e10178. doi: 10.7717/peerj.10178. eCollection 2020.

Abstract

BACKGROUND

Heart rate variability (HRV) is a psycho-physiological phenomenon with broad health implications. Different data analysis methods have been used to assess the autonomic nervous system activity, but the validation of new indexes that accurately describe its balance through non-invasive methods (i.e., HRV analysis) is of clinical interest. This study aimed: (i) to evaluate the association of the Stress Score (SS) and the Sympathetic/Parasympathetic Ratio (S/PS) with time domain and frequency domain analysis of HRV, and (ii) to set reference values of SS and S/PS in sedentary healthy adults.

METHODS

A total of 156 sedentary healthy adults (38.4 ± 15.57 years old, 81 women), aged were involved in this study. HRV was measured for 15 min in a supine position at rest. SS and S/PS were calculated from the non-linear HRV analyses based on Poincare Plot.

RESULTS

Stress Score showed a non-linear negative power-law relationship with SDNN (β = -0.969; = 0.963; < 0.001), RMSSD (β = -0.867; = 0.722; < 0.001), high frequency (β = -0.834; = 0.752; =< 0.001), low frequency (β = -0.627; = 0.330; < 0.001), SD1 (β = -0.867; = 0.722; < 0.001) and SD2 (β = -1.000; > 0.999; < 0.001). There was observed a negative cubic relationship between SS with PNN50 (β = -1.972; = 0.644; < 0.001). A linear regression model was conducted between SS with Ratio Low/High Frequency (β = 0.026; < 0.001; = 0.750). Non-linear power-law regression models were built between S/PS and SDNN (β = -0.990; = 0.981; < 0.001), RMSSD (β = -0.973; = 0.939; < 0.001), high frequency (β = -0.928; = 0.970; < 0.001), low frequency (β = -2.344; = 0.557; < 0.001), SD1 (β = -0.973; = 0.939; < 0.001) and SD2 (β = -0.611; = 0.908; < 0.001). A non-linear negative regression model was built between S/PS and PNN50 (β = -3.412; = 0.868; < 0.001). A linear regression model was conducted between S/PS and SD2/SD1 (β = 0.075; = 0.006; < 0.001).

CONCLUSION

Our results support the use of SS as a sympathetic activity marker, and S/PS as an indicator of the sympathetic and parasympathetic activity of the autonomic nervous system in sedentary healthy adults.

摘要

背景

心率变异性(HRV)是一种具有广泛健康意义的心理生理现象。已使用不同的数据分析方法来评估自主神经系统活动,但通过非侵入性方法(即HRV分析)准确描述其平衡的新指标的验证具有临床意义。本研究旨在:(i)评估应激评分(SS)和交感神经/副交感神经比率(S/PS)与HRV时域和频域分析的相关性,以及(ii)设定久坐不动的健康成年人中SS和S/PS的参考值。

方法

本研究共纳入156名久坐不动的健康成年人(年龄38.4±15.57岁,女性81名)。在静息仰卧位测量15分钟的HRV。根据基于庞加莱图的非线性HRV分析计算SS和S/PS。

结果

应激评分与SDNN(β=-0.969;r=0.963;P<0.001)、RMSSD(β=-0.867;r=0.722;P<0.001)、高频(β=-0.834;r=0.752;P<=0.001)、低频(β=-0.627;r=0.330;P<0.001)、SD1(β=-0.867;r=0.722;P<0.001)和SD2(β=-1.000;r>0.999;P<0.001)呈非线性负幂律关系。观察到SS与PNN50呈负三次方关系(β=-1.972;r=0.644;P<0.001)。在SS与低频/高频比率之间进行线性回归模型分析(β=0.026;r<0.001;P=0.750)。在S/PS与SDNN(β=-0.990;r=0.981;P<0.001)、RMSSD(β=-0.973;r=0.939;P<0.001)、高频(β=-0.928;r=0.970;P<0.001)、低频(β=-2.344;r=0.557;P<0.001)、SD1(β=-0.973;r=0.939;P<0.001)和SD2(β=-0.611;r=0.908;P<0.001)之间建立非线性幂律回归模型。在S/PS与PNN50之间建立非线性负回归模型(β=-3.412;r=0.868;P<0.001)。在S/PS与SD2/SD1之间进行线性回归模型分析(β=0.075;r=0.006;P<0.001)。

结论

我们的结果支持将SS用作交感神经活动标志物,以及将S/PS用作久坐不动的健康成年人自主神经系统交感神经和副交感神经活动的指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e85/7643555/373d910166e3/peerj-08-10178-g001.jpg

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