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Heart Rate Variability Biofeedback
Abstract
Objectives To present additional analysis of data from a previously published study showing that biofeedback training to increase heart rate variability (HRV) can be an effective component in asthma treatment. HRV and intervention-related changes in HRV are negatively correlated with age. Here we assess the effects of age on biofeedback effects for asthma. Design Ten sessions of HRV biofeedback were administered to 45 adults with asthma. Medication was prescribed by blinded physicians according to National Heart, Lung, and Blood Institute criteria. Medication needs were reassessed biweekly. Results Decreases in need for controller medication were independent of age. There were larger acute decreases in forced oscillation frequency dependence in the older group but larger increases in HRV variables in the younger group. Differences between age groups were smaller among subjects trained in pursed-lips abdominal breathing as well as biofeedback, than among those receiving only biofeedback. Conclusions Age-related attenuation of biofeedback effects on cardiovascular variability does not diminish the usefulness of the method for treating asthma among older patients. Additional training in pursed-lips abdominal breathing obliterates the effects of age on HRV changes during biofeedback.
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“Learning to voluntarily increase HF-HRV through biofeedback also has beneficial effects for diverse medical and psychopathological conditions such as asthma31,32, cardiovascular disease33, depression34, and PTSD35.”
From Voluntary upregulation of heart rate variability through biofeedback is improved by mental contemplative training (2019) · cites this paper as [32]
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“The ability to increase HF-HRV through slower breathing has been linked to symptom reduction in a variety of bodily and mental disorders, such as cardiovascular33 and pulmonary disease31,32, as well as depression34 and PTSD35, making these findings clinically relevant.”
From Voluntary upregulation of heart rate variability through biofeedback is improved by mental contemplative training (2019) · cites this paper as [32]
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Metadata
- Authors
- Lehrer, P., Vaschillo, E., Lu, S.-E., Eckberg, D., Vaschillo, B., Scardella, A., & Habib, R.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- University of Public Health Yangon (MM)
- Virginia Commonwealth University (US)
- Mercy Children's Hospital (US)
- Corresponding author
- Lehrer, Paul
- Venue
- Chest
- Publisher
- Elsevier BV
- Published
- 2006-02
- Volume
- 129
- Issue
- 2
- Pages
- 278-284
- ISSN
- 0012-3692 (ISSN-L)
- OpenAlex
- W2163887272
- Cited by
- 136
- References
- 19
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 9 · 2023: 9 · 2022: 7 · 2021: 5 · 2020: 6 · 2019: 11 · 2018: 6 · 2017: 3 · 2016: 9 · 2015: 9 · 2014: 14 · 2013: 7 · 2012: 15
- FWCI
- 2.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- CHEST Journal (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R01HL58805, R01HL058805)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Asthma and respiratory diseases
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Keywords
- heart rate variability biofeedback, asthma, age effects, cardiovascular variability, elderly patients
- MeSH terms
- Adolescent, Adult, Aged, Aging, Asthma, Biofeedback, Psychology, Female, Heart Rate, Humans, Male, Middle Aged, Single-Blind Method, Baroreflex
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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