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Survey study, 2024

Can a smartphone app that teaches heart rate control help with premenstrual symptoms?

Yes, people using the app for 4 weeks showed clear improvements in premenstrual symptoms, depression, and anxiety, while those who waited did not improve.

Early or limited evidence 27 people with above-average premenstrual or depressive symptoms

What they did

27 people with above-average premenstrual or depressive symptoms used a smartphone app for 4 weeks. The app uses the phone camera to measure heart rate and guides breathing to control it. Half started immediately and half waited 4 weeks (control group). They were tested before and after.

What they found

During the 4 weeks, people using the app had clear improvements in premenstrual symptoms, depressive symptoms, and anxiety or stress symptoms. They also improved in focusing and planning. The group that waited 4 weeks showed no improvements. The app did not change their resting heart rate patterns.

What it means for you

A free smartphone app might help people with premenstrual and depressive symptoms without needing special equipment or professional help. This was a small pilot study with 27 people, so larger studies are needed to be sure it works and for whom.

27

Participants

4 weeks

Duration of intervention

Improved

Premenstrual symptoms in app users

About the study

Original title
Alleviating premenstrual symptoms with smartphone-based heart rate variability biofeedback training: a pilot study
Authors
Blaser BL, Weymar M, Wendt J
Journal
Frontiers in digital health
Year
2024
Study design
Survey study
What was tested
4-week smartphone-based heart rate variability biofeedback app
Open access
Yes
Original abstract

Introduction: 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. Methods: 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. Results: 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. Discussion: 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.

Reproduced under CC-BY.

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