Cardiorespiratory fitness, regular physical activity, and autonomic nervous system reactivity to laboratory and daily life stress

Mee, Denise J. van der; Gevonden, Martin; Westerink, Joyce H. D. M.; Geus, Eco J. C. de

doi:10.1111/psyp.14212

Cited by 4 publications

(2 citation statements)

References 122 publications

(166 reference statements)

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“…Existing research has shown the possibilities of continuous measuring of biosignals in the health domain [4,13,20]. However, most of this work uses biosensors in clinical or lab settings, with a few exceptions [15,36,37,41]. This contrasts the growing interest in monitoring stress and well-being in everyday life [1].…”

Section: Introductionmentioning

confidence: 99%

Electrodermal activity: A continuous monitor of well-being

Meijer,

Arts,

Gomez

et al. 2023

SCS

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A smart society should not only support the efficiency and effectiveness of processes, they should also have the ability to comprehend and support its inhabitants well-being. To enable this, we need continuous information on individual’s well-being. As a first step, we suggest to evaluate people’s long term stress level, as it sheds light on their well-being. We propose using the biosignal Electrodermal Activity (EDA), a proven measure of people’s arousal or stress. Moreover, EDA can be measured continuously, in real-time, and unobtrusively via wearables. To assess this idea’s feasibility, the CASE, CEAP-360VR, and K-EmoCon datasets, including both continuous EDA recordings and continuous subjective self-reported arousal, were analyzed. With CASE and CEAP-360VR, a multilevel analysis unveiled that the frequency and amplitude of EDA’s non-specific skin conductance responses significantly correlated with the self-reported arousal. With K-EmoCon, this correlation was absent, which can be explained by the low arousal condition of this dataset. The latter also signals a main limitation: the lack of sensitivity of the proposed signal. Nevertheless, the results are promising as they show potential for EDA as a continuous stress monitor. Therefore, we are optimistic that a future smart society can be enabled to monitor and improve their inhabitant’s well-being.

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Section: Introductionmentioning

confidence: 99%

Electrodermal activity: A continuous monitor of well-being

Meijer,

Arts,

Gomez

et al. 2023

SCS

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“…Since changes in respiration rate can cause changes in RSA that are not caused by changes in PNS activity (de Geus et al, 1995;Grossman et al, 1991) repeated observations on RR (derived from the ICG signal as described by Houtveen, Groot & de Geus, 2006) were added as a level 1 covariate to the RSA analyses. Previous work has shown that the ns.SCR frequency measure is not sensitive to thermodynamic effects as compared to skin conductance levels in both the laboratory (van der Mee, et al, 2021) and in daily life (van der Mee, et al, 2022). Therefore, the analyses regarding ns.SCR were performed without inclusion of skin and ambient temperature covariates.…”

Section: Laboratory Stressorsmentioning

confidence: 99%

Psychophysiology in the digital age

van der Mee

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The research I performed for my thesis revolved around the question how affect-physiology dynamics can be best measured in daily life. In my thesis I focused on three aspects of this question: 1) Do wearable wristband devices have sufficient validity to capture ANS activity? 2) To what extent is the laboratory design suitable to measure affect-ANS dynamics? 3) Are the affect-ANS dynamics subject to individual differences, both in the laboratory and in daily life? In chapter 2, I validated a shortened version of the Sing-a-Song Stress (SSST) test, the SSSTshort. The purpose of this test is to create social-evaluative stress in participants through a simple and brief design that does not require the involvement of multiple confederates. The results indicated that the SSSTshort was effective in inducing ANS and affective reactivity. This makes the SSSTshort a cost-effective alternative to the well-known Trier-Social-Stress task (TSST), which can be easily incorporated into large-scale studies to expand the range of stress types that can be studied in laboratory designs. In chapter 3, I validated a new wrist worn technology for measuring electrodermal activity (EDA). As expected, the overall EDA levels measured on the wrist were lower than those measured on the palm, likely due to the lower density of sweat glands on the wrist. The analysis demonstrated that the frequency measure of non-specific skin conductance response (ns.SCR) was superior to the commonly used measure of skin conductance level (SCL) for both the palm and wrist. The wrist-based ns.SCR measure was sensitive to the experimental manipulations and showed similar correspondence to the pre-ejection period (PEP) as palm-based ns.SCR. Moreover, wrist-based ns.SCR demonstrated similar predictive validity for affective state as PEP. However, the predictive validity of both wrist-based ns.SCR and PEP was lower compared to palm-based ns.SCR. These findings suggest that wrist-based ns.SCR EDA parameter has a promising future for use in psychophysiological research. In Chapter 4 of my thesis, I conducted the first study to directly compare the relationship between affect and ANS activity in a laboratory setting to that in daily life. To elicit stress in the laboratory, four different stress paradigms were employed, while stressful events in daily life were left to chance. In both settings, a valence and arousal scale was constructed from a nine-item affect questionnaire, and ANS activity was collected using the same devices. Data was collected from a single population, and the affect-ANS dynamics were analyzed using the same methodology for both laboratory and daily life settings. The results showed a remarkable similarity between the laboratory and daily life affect-ANS relationships. In Chapter 5 of my thesis, I investigated the influence of individual differences in physical activity and aerobic fitness on ANS and affective stress reactivity. Previous research has yielded inconsistent results due to heterogeneity issues in the population studied, stressor type, and the way fitness was measured. My study made a unique contribution to this field by measuring physical activity in three ways: 1) as objective aerobic fitness, 2) leisure time exercise behavior, and 3) total moderate-to-vigorous exercise (including both exercise and all other regular physical activity behaviors). In addition, we measured the physiological and affective stress response in both a laboratory and daily life setting. The total amount of physical activity showed more relationships with stress reactivity compared to exercise behavior alone, suggesting that future research should include a total physical activity variable. Our results did not support the cross-stressor adaptation hypotheses, suggesting that if exercise has a stress-reducing effect, it is unlikely to be mediated by altered ANS regulation due to repeated exposure to physical stress.

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Modulating the Expression of Exercise-induced lncRNAs: Implications for Cardiovascular Disease Progression

Yu,

Zhang

2024

J. of Cardiovasc. Trans. Res.

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Cardiorespiratory fitness, regular physical activity, and autonomic nervous system reactivity to laboratory and daily life stress

Cited by 4 publications

References 122 publications

Electrodermal activity: A continuous monitor of well-being

Electrodermal activity: A continuous monitor of well-being

Psychophysiology in the digital age

Modulating the Expression of Exercise-induced lncRNAs: Implications for Cardiovascular Disease Progression

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