Saxion University of Applied Sciences/AGZ, M.H. Tromplaan 28, 7500 KB, Enschede, The Netherlands.
Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Appl Psychophysiol Biofeedback. 2019 Jun;44(2):83-96. doi: 10.1007/s10484-018-9422-4.
Low heart rate variability (HRV) is related to health problems that are known reasons for sick-leave or early retirement. A 1-minute-protocol could allow large scale HRV measurement for screening of health problems and, potentially, sustained employability. Our objectives were to explore the association of HRV with measures of health. Cross-sectional design with 877 Dutch employees assessed during a Workers' Health Assessment. Personal and job characteristics, workability, psychological and mental problems, and lifestyle were measured with questionnaires. Biometry was measured (BMI, waist circumference, blood pressure, glucose, cholesterol). HRV was assessed with a 1-minute paced deep-breathing protocol and expressed as mean heart rate range (MHRR). A low MHRR indicates a higher health risk. Groups were classified age adjusted for HRV and compared. Spearman correlations between raw MHRR and the other measures were calculated. Significant univariable correlations (p < 0.05) were entered in a linear regression model to explore the multivariable association with MHRR. Age, years of employment, BMI and waist circumference differed significantly between HRV groups. Significant correlations were found between MHRR and age, workability, BMI, waist circumference, cholesterol, systolic and diastolic blood-pressure and reported physical activity and alcohol consumption. In the multivariable analyses 21.1% of variance was explained: a low HRV correlates with aging, higher BMI and higher levels of reported physically activity. HRV was significantly associated with age, measures of obesity (BMI, waist circumference), and with reported physical activity, which provides a first glance of the utility of a 1-minute paced deep-breathing HRV protocol as part of a comprehensive preventive Workers' Health Assessment.
心率变异性(HRV)较低与已知导致请病假或提前退休的健康问题有关。1 分钟方案可用于大规模 HRV 测量,以筛选健康问题,并可能提高可持续就业能力。我们的目的是探讨 HRV 与健康测量指标的相关性。采用横断面设计,对 877 名荷兰员工在进行工人健康评估时进行评估。使用问卷测量个人和工作特征、工作能力、心理和精神问题以及生活方式。生物计量学测量(BMI、腰围、血压、血糖、胆固醇)。使用 1 分钟 paced 深呼吸方案评估 HRV,并表示为平均心率范围(MHRR)。MHRR 较低表示健康风险较高。根据 HRV 对年龄进行调整后对各组进行分类,并进行比较。计算 raw MHRR 与其他测量值之间的 Spearman 相关系数。将具有显著单变量相关性(p < 0.05)的变量纳入线性回归模型,以探讨与 MHRR 的多变量相关性。HRV 组之间的年龄、就业年限、BMI 和腰围存在显著差异。MHRR 与年龄、工作能力、BMI、腰围、胆固醇、收缩压和舒张压以及报告的体力活动和饮酒量之间存在显著相关性。在多变量分析中,解释了 21.1%的方差:低 HRV 与衰老、较高的 BMI 和较高的报告体力活动水平相关。HRV 与年龄、肥胖(BMI、腰围)测量值以及报告的体力活动显著相关,这为 1 分钟 paced 深呼吸 HRV 方案作为综合预防工人健康评估的一部分的效用提供了初步的了解。