A scoping review of heart rate variability in sport and exercise psychology

Mosley, Emma; Laborde, Sylvain

doi:10.1080/1750984x.2022.2092884

Cited by 39 publications

(29 citation statements)

References 223 publications

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“…In addition, there are limitations to measuring stress with HRV, and the relationships between subjective ratings and HRV are inconsistent and difficult to interpret, as are many of the numerous parameters that have been assessed with HRV. Nevertheless, studies of vagally mediated HRV are promising ( Mosley and Laborde, 2022 ), and could also be performed as part of future investigations on MPA management techniques.…”

Section: Discussionmentioning

confidence: 99%

“…Not surprisingly, several authors have included HR measurements in studies on for example stress during sports ( Oudejans and Pijpers, 2009 , 2010 ; Kusserow et al, 2010 ), repeated psychosocial stress induced by real and virtual stressors, including the same stressor over different periods of time ( Schommer et al, 2003 ; Kothgassner et al, 2021 , 2022 ), acute psychological stress ( Trotman et al, 2019 ) and MPA ( Yoshie et al, 2008 ; Yoshie et al, 2009 ; Kusserow et al, 2012 ; Kenny et al, 2013 ; Studer et al, 2014 ). In addition to HR, several authors have used heart rate variability (HRV) in the context of sports and exercise psychology to measure stress ( Mosley and Laborde, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

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Repeated stage exposure reduces music performance anxiety

et al. 2023

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BackgroundHigh heart rate (HR) and restlessness are two important features of music performance anxiety (MPA). In a case report of a cellist suffering from this condition, we showed that HR and restlessness decreased after repeated live performances of the same musical excerpt, thereby positively modulating objective performance criteria and subjective components. Here, we largely replicate these results in a group of 18 string players reporting MPA.MethodsObjective measurement devices included a miniaturized electrocardiogram monitor and three 3-axis accelerometer loggers. Subjective measures included the Multidimensional Mental Health Questionnaire (MDBF) and a customized visual analogue scale (VAS) questionnaire for MPA. Non-artistic performance errors were assessed by music experts using a composite score for technical playing errors (i.e., intonation errors, omission of notes, and bowing noise). Data were collected from each study participant during three brief public solo performances of the same musical excerpt, with each performance occurring before a new audience on the same day.ResultsFrom the 1st to the 3rd performance, HR, VAS, and playing error scores decreased significantly. MDBF (RU scale) showed a significant increase in calmness from the 1st to the 3rd performance on stage. HR and RU, VAS, and RU, as well as bow acceleration and overall duration of playing correlated significantly across participants and performances.Discussion and conclusionWe conclude that repeated stage exposure significantly reduces HR as well as restlessness and playing errors linked to MPA. Public performances are still successful when HR is significantly higher than during rest periods. These results underscore the importance of stage training to become accustomed to realistic public self-exposure. Musicians – especially students – should consider this component of stage training as an integral part of their practice routine. Therefore, stage training can reduce MPA, promote better live performances and prevent stress-related mental disorders and physical injuries. These result from excessive self-exercise strategies common in musicians experiencing MPA. HR monitoring should be an integral part of evaluating the effectiveness of interventions for better MPA management and efficient performance training.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Repeated stage exposure reduces music performance anxiety

et al. 2023

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“…This is in line with studies that found no changes in heart rate due to head‐out water immersion (Christie et al, 1990; Park et al, 1999). Moreover, its implementation appears particularly adequate in a large range of practical applications, such as sport (Al Haddad et al, 2010; Mosley & Laborde, 2022; Schnell et al, 2018), psychotherapy (Kyriakoulis et al, 2021), and medicine (Takahashi et al, 2020; Winter et al, 2018), in comparison to full‐body immersion. Regarding the effectiveness of such interventions for a given individual, it is important to note that the effects of the diving response on heart rate (and thus, potentially, cardiac vagal activity) vary among humans (Caspers et al, 2011; Lindholm & Lundgren, 2009).…”

Section: Discussionmentioning

confidence: 99%

The diving response and cardiac vagal activity: A systematic review and meta‐analysis

et al. 2022

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In recent years, the diving response has received remarkable attention regarding improving mental health and well-being (Pubmed search "diving response" from 0 to 2010 = 125 articles, from 2011 to 2022 = 372 articles). This line of research has shown promising results, including reducing symptoms of depression, followed by a gradual reduction and eventually cessation of medication (van Tulleken et al., 2018), increases in well-being and positive

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“…As HR estimated at any given time represents the net effect of the neural output of the PNS, which slows HR and SNS, which accelerates HR, HRV also detects imbalance in the autonomous nervous system resulting from over or under stimulation of SNS and PNS. Therefore, the fluctuation in HRV values contains useful insights into many clinical applications, such as mental stress, exercise and rehabilitation, cardiovascular fitness, an indication of the pathological state, the progression of chronic disease, and even predicting the onset of diseases [46][47][48][49][50] . Depending on the application, HRV features are usually extracted from an ultra-short-term (< 5 minutes), short-term (around 5 minutes) or whole day 24 hours time frame 51 .…”

Section: Hrv Featuresmentioning

confidence: 99%

BGEM™: Assessing Elevated Blood Glucose Levels Using Machine Learning and Wearable Photo plethysmography Sensors

Shi¹,

Dhaliwa²,

soo³

et al. 2023

Preprint

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Diabetes mellitus (DB) is the most challenging and fastest-growing global public health challenge. An estimated 10.5% of the global adult population suffers from diabetes, and almost half of them are undiagnosed. The growing at-risk population exacerbated the shortage of health resources, with an estimated 10.6% and 6.2% of adults worldwide having impaired glucose tolerance (IGT) and impaired fasting glycemia (IFG), respectively. All the current diabetes screening methods are invasive and opportunistic and must be conducted in a hospital or a laboratory by trained professionals. At-risk subjects might remain undetected for years and miss the precious time window for early intervention in preventing or delaying the onset of diabetes and its complications. This study was conducted at KK Women’s and Children’s Hospital of Singapore, and five hundred participants were recruited (mean age 38.73 ± 10.61 years; mean BMI 24.4 ± 5.1 kg/m2). The blood glucose levels, for most participants, were measured before and after 75g of sugary drink using both the conventional glucometer (Accu-Chek Performa) and the wrist-worn wearable. The results obtained from the glucometer were used as the ground truth measurements. We propose leveraging photoplethysmography (PPG) sensors and machine learning techniques to incorporate this into an affordable wrist-worn wearable device to detect elevated blood glucose levels (⩾ 7.8mmol/L) non-invasively. Multiple machine learning models were trained and assessed with 10-fold cross-validation using subject demographic data and critical features extracted from the PPG measurements as predictors. Support vector machine (SVM) with a radial basis function kernel has the best detection performance with an average accuracy of 84.7%, a sensitivity of 81.05%, a specificity of 88.3%, a precision of 87.51%, a geometric mean of 84.54% and F-score of 84.03%. Hence, PPG measurements can be utilized to identify subjects with elevated blood glucose measurements and assist in the screening of subjects for diabetes risk.

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A scoping review of heart rate variability in sport and exercise psychology

Cited by 39 publications

References 223 publications

Repeated stage exposure reduces music performance anxiety

Repeated stage exposure reduces music performance anxiety

The diving response and cardiac vagal activity: A systematic review and meta‐analysis

BGEM™: Assessing Elevated Blood Glucose Levels Using Machine Learning and Wearable Photo plethysmography Sensors

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