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.

中文翻译：

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探索1分钟起搏的深呼吸测量心率变异性，作为工人健康评估的一部分。

低心率变异性（HRV）与健康问题有关，而健康问题是病假或提前退休的已知原因。1分钟的协议可以进行大规模的HRV测量，以筛查健康问题以及潜在的持续就业能力。我们的目标是探索HRV与健康指标之间的关系。在“工人健康评估”中评估了877名荷兰雇员的横断面设计。个人和工作特征，可工作性，心理和精神问题以及生活方式通过问卷进行了测量。测量了生物特征（BMI，腰围，血压，葡萄糖，胆固醇）。使用1分钟的节奏深呼吸协议评估HRV，并将其表示为平均心率范围（MHRR）。较低的MHRR表示较高的健康风险。将各组分类为针对HRV调整的年龄并进行比较。计算原始MHRR与其他度量之间的Spearman相关性。显着的单变量相关性（p <0.05）输入线性回归模型以探索与MHRR的多变量关联。HRV组之间的年龄，工作年限，BMI和腰围明显不同。MHRR与年龄，可加工性，BMI，腰围，胆固醇，收缩压和舒张压之间有显着相关性，并且报告的体育锻炼和饮酒量之间存在显着相关性。在多变量分析中，解释了21.1％的方差：较低的HRV与衰老，较高的BMI和较高的身体活动水平相关。HRV与年龄，肥胖程度（BMI，腰围）和所报告的体育活动显着相关，这提供了第一分钟步速深呼吸HRV协议作为全面预防工作人员的一部分的效用的第一印象。健康评估。