通过智能手机心率变异性生物反馈训练缓解经前期症状:一项试点研究

Berenike Lisa Blaser, Mathias Weymar, J. Wendt
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摘要

心率变异性生物反馈(HRVB)是一种经过充分研究的干预措施,因其对情绪、认知和生理健康(包括缓解抑郁症状)的积极影响而闻名。然而,高昂的成本和缺乏训练有素的专业人员阻碍了它的实际应用。基于智能手机的心率变异监测不需要外部设备,尽管研究有限,但它提供了一种很有前景的替代方法。此外,经前期症状在经期人群中非常普遍,因此需要成本低、副作用小且容易获得的干预措施。通过这项试点研究,我们旨在首次测试基于智能手机的心率变异对抑郁和经前症状以及焦虑/压力症状和注意力控制的影响。27 名有高于平均水平的经前或抑郁症状的参与者接受了为期 4 周的基于智能手机的光电压力测量心率变异干预,干预采用候补对照设计。干预前后各进行一次实验室测试,每次测试间隔四周。评估内容包括静息迷走神经介导心率变异性(vmHRV)、通过修订的注意力网络测试(ANT-R)进行的注意力控制、通过BDI-II问卷进行的抑郁症状评估,以及通过DASS问卷进行的压力/焦虑症状测量。如果适用,则通过 PAF 问卷记录经前症状。我们观察到,在干预期间,经前期、抑郁和焦虑/压力症状以及ANT-R的执行功能得分均有所改善,但在候补阶段则没有。无论是从基于智能手机的心率变异的有效性,还是从其缓解经前症状的潜力来看,这些研究结果都很有前景。尽管如此,要就使用心率变异来改善经前期症状提供可靠的建议,还需要进行样本量更大的进一步研究,以复制这些效果。
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Alleviating premenstrual symptoms with smartphone-based heart rate variability biofeedback training: a pilot study
Heart rate variability biofeedback (HRVB) is a well-studied intervention known for its positive effects on emotional, cognitive, and physiological well-being, including relief from depressive symptoms. However, its practical use is hampered by high costs and a lack of trained professionals. Smartphone-based HRVB, which eliminates the need for external devices, offers a promising alternative, albeit with limited research. Additionally, premenstrual symptoms are highly prevalent among menstruating individuals, and there is a need for low-cost, accessible interventions with minimal side effects. With this pilot study, we aim to test, for the first time, the influence of smartphone-based HRVB on depressive and premenstrual symptoms, as well as anxiety/stress symptoms and attentional control.Twenty-seven participants with above-average premenstrual or depressive symptoms underwent a 4-week photoplethysmography smartphone-based HRVB intervention using a waitlist-control design. Laboratory sessions were conducted before and after the intervention, spaced exactly 4 weeks apart. Assessments included resting vagally mediated heart rate variability (vmHRV), attentional control via the revised attention network test (ANT-R), depressive symptoms assessed with the BDI-II questionnaire, and stress/anxiety symptoms measured using the DASS questionnaire. Premenstrual symptomatology was recorded through the PAF questionnaire if applicable. Data analysis employed linear mixed models.We observed improvements in premenstrual, depressive, and anxiety/stress symptoms, as well as the Executive Functioning Score of the ANT-R during the intervention period but not during the waitlist phase. However, we did not find significant changes in vmHRV or the Orienting Score of the ANT-R.These findings are promising, both in terms of the effectiveness of smartphone-based HRVB and its potential to alleviate premenstrual symptoms. Nevertheless, to provide a solid recommendation regarding the use of HRVB for improving premenstrual symptoms, further research with a larger sample size is needed to replicate these effects.
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