Evidence Based Recommendations for Designing Heart Rate Variability Studies

Vila, Xosé A.; Lado, Marı́a J.; Morales, Pedro Cuesta

doi:10.1007/s10916-019-1437-8

Cited by 13 publications

(13 citation statements)

References 33 publications

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“…Therefore, in general terms, the HRV derived parameters decrease during the day and tend to increase during the night [68]. Nevertheless, another study [54] suggests the contrary. In fact, Vila et al [54] observed that the HRV parameters decreased from morning to the night.…”

Section: Recordings At Restingmentioning

confidence: 89%

“…Nevertheless, another study [54] suggests the contrary. In fact, Vila et al [54] observed that the HRV parameters decreased from morning to the night. Further, they advise to recording the R-R signal (early) in the morning as diverse factors that may affect the HRV could be avoided (e.g., food, coffee and/or alcohol ingestion, fatigue, etc.…”

Section: Recordings At Restingmentioning

confidence: 94%

“…• Body positioning. Importantly, while resting, the body positioning (lying, sitting or standing) during the assessment could directly influence the quantification of the HRV derived parameters [53,54]. Concretely, the change of the position from lying supine or seated to standing rest decreased the HRV derived parameters (mainly in frequency-domain) and increased the HR in healthy young adults [53].…”

Section: Recordings At Restingmentioning

confidence: 99%

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Short-term heart rate variability in resting conditions: methodological considerations

2021

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Section: Recordings At Restingmentioning

confidence: 89%

Section: Recordings At Restingmentioning

confidence: 94%

Section: Recordings At Restingmentioning

confidence: 99%

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Short-term heart rate variability in resting conditions: methodological considerations

2021

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“…Examples of such factors are the time of the day to record the data (in the case of short-time recordings); subject-characteristic variables such as age, sex, HR, breathing rate, health and physical activity status, control for medication, food and water consumption, voiding of the bladder; position of the body during short-time recordings; the quality of recorded signals (recording period length, detection or recording method, sampling frequency, breathing pacing-paced or free breathing); as well as the tools used to analyze HRV values (i.e., how HRV metrics were calculated-software, removal of artifacts, frequency band cutoffs, power spectral analysis method, etc.) [33,34,37,40,61,71].…”

Section: Compliance Of the Studies To Recommendations And Guidelinesmentioning

confidence: 99%

Heart Rate Variability in Children and Adolescents with Cerebral Palsy—A Systematic Literature Review

Gąsior

Zamunér

Silva

et al. 2020

JCM

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Cardiac autonomic dysfunction has been reported in patients with cerebral palsy (CP). The aim of this study was to assess the existing literature on heart rate variability (HRV) in pediatric patients with CP and a special attention was paid to the compliance of the studies with the current HRV assessment and interpretation guidelines. A systematic review was performed in PubMed, Web of Science, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases searched for English language publications from 1996 to 2019 using Medical Subject Headings (MeSH) terms “heart rate variability” and “cerebral palsy” in conjunction with additional inclusion criteria: studies limited to humans in the age range of 0–18 years and empirical investigations. Out of 47 studies, 12 were included in the review. Pediatric patients with CP presented a significantly higher resting heart rate and reduced HRV, different autonomic responses to movement stimuli compared to children with normal development, but also reduced HRV parameters in the children dependent on adult assistance for mobility compared to those generally independent. None of the included studies contained the necessary details concerning RR intervals acquisition and HRV measurements as recommended by the guidelines. Authors of HRV studies should follow the methodological guidelines and recommendations on HRV measurement, because such an approach may allow a direct comparison of their results.

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“…Despite the rising popularity of HRV measurements in the assessment of stress/ANS, there are three main concerns regarding HRV studies in patients with MDD. First, there is a wide variety of HRV measurement protocols in the current research ( Young and Leicht, 2011 ; Vila et al, 2019 ). Second, the varying validity and reliability measures across the different HRV parameters must be considered ( Young and Leicht, 2011 ; Pereira et al, 2017 ; Chen et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Heart Rate Variability Changes in Patients With Major Depressive Disorder: Related to Confounding Factors, Not to Symptom Severity?

2021

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BackgroundThe aim of this study was to assess the electrophysiological and other influencing factors correlating with symptom severity in patients with major depressive disorder (MDD) under three different conditions: baseline, stress exposure, and relaxation following stress exposure.MethodsSymptom severity was assessed using the Beck Depression Inventory (BDI-II) in 89 inpatients (37 women; mean age 51 years) with MDD. Resting heart rate (RHR), heart rate variability (HRV), respiration rate (RR), skin conductance (SC), and skin temperature (ST) were recorded at baseline for 300 s, under stress exposure for 60 s, and under self-induced relaxation for 300 s. Age, nicotine consumption, body mass index, and blood pressure were evaluated as influencing factors.ResultsThe mean BDI-II mean score was 29.7 points. Disease severity correlated positively with SC elevation under stress exposure and with a lower RR in the relaxed state, but no association was found between HRV and symptom severity. Age and higher blood pressure were both associated with lower HRV and higher RHR.ConclusionThe results indicate that, in patients with MDD, changes in the autonomic nervous system (ANS) are complex; and the assessment of ANS reactivity to stressors is useful. Elevated blood pressure might be underdiagnosed, although it is already relevant in patients with MDD in their early 50s.

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Evidence Based Recommendations for Designing Heart Rate Variability Studies

Cited by 13 publications

References 33 publications

Short-term heart rate variability in resting conditions: methodological considerations

Short-term heart rate variability in resting conditions: methodological considerations

Heart Rate Variability in Children and Adolescents with Cerebral Palsy—A Systematic Literature Review

Heart Rate Variability Changes in Patients With Major Depressive Disorder: Related to Confounding Factors, Not to Symptom Severity?

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