Is daily‐life stress reactivity a measure of stress recovery? An investigation of laboratory and daily‐life stress

Velozo, Joana De Calheiros; Vaessen, Thomas; Lafit, Ginette; Claes, Stephan; Myin‐Germeys, Inez

doi:10.1002/smi.3213

Cited by 9 publications

(4 citation statements)

References 77 publications

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“…It’s important to emphasized caution when interpreting these results. While our findings are consistent with previous studies that have employed similar procedures, its crucial to acknowledge the existence of studies that have failed to found a relationship between laboratory reactivity measures and those observed in everyday life ( Gerin et al, 1998 ; Baucom et al, 2018 ; De Calheiros Velozo et al, 2023 ). This potential disparity could impact the external validity of our current study.…”

Section: Discussionsupporting

confidence: 92%

A pilot exploration of the relationships between optimism, affect, and cardiovascular reactivity

Parra-Gaete,

Hermosa-Bosano

2023

Front. Psychol.

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IntroductionCardiovascular reactivity refers to changes in blood pressure and heart rate in response to internal or external stimuli. Previous research has shown that excessively high and low cardiovascular reactivity are associated with an increased risk of cardiac problems. Dispositional optimism has been associated with numerous health benefits, including better cardiovascular responses to stressors, and reduced mortality risk. Conversely, pessimism has been associated with negative health outcomes and worse cardiovascular reactivity to stress. Mood, comprising positive and negative affect, can significantly impact psychological adjustment and physical health. Therefore, it is important to consider mood as a potential confounding variable in the link between optimism and cardiovascular reactivity. The study hypothesized that optimism and pessimism would still influence cardiovascular reactivity even when mood variables were controlled for.MethodsA within-subjects correlational design with 107 young adult participants was used. Sociodemographic and clinical questionnaires were administered to collect information on participants’ characteristics. The Dispositional Optimism Scale (LOT-R) and the Positive and Negative Affect Scale (PANAS) were used to assess participants’ levels of optimism, pessimism, and mood. Measures of cardiovascular reactivity, including systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate (HR), were taken during a stressor task (PASAT).ResultsThere is a moderate positive correlation between dispositional optimism and positive affect, while pessimism demonstrated a moderate positive association with negative affect. Linear regression analyses were conducted, controlling baseline reactivity variables, gender, and body mass index. The results showed that pessimism had a significant negative effect on SBP reactivity, suggesting that higher levels of pessimism decreased SBP response. Optimism had a significant positive effect on DBP reactivity, while pessimism had a significant negative effect.DiscussionOverall, these results suggest that dispositional optimism and pessimism are related to cardiovascular reactivity, even after controlling for positive and negative affect. Pessimism was associated with lower SBP reactivity, while both optimism and pessimism influenced DBP reactivity. These findings are consistent with previous research indicating that optimism enables more effective stress management during challenging events, whereas pessimism can serve as a risk factor, heightening the likelihood of experiencing future cardiac issued caused by blunted cardiovascular reactivity.

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Section: Discussionsupporting

confidence: 92%

A pilot exploration of the relationships between optimism, affect, and cardiovascular reactivity

Parra-Gaete,

Hermosa-Bosano

2023

Front. Psychol.

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“…Ethics approval was granted by the Sociaal-Maatschappelijke Etische Commissie of Katholieke Universitei Leuven (G-2018 09 1339) [ 24 ]. Informed consents were obtained from the participants.…”

Section: Methodsmentioning

confidence: 99%

“…This study included 45 healthy adult participants from Leuven, Belgium [ 24 ]. The average age of the participants was 24.5 (SD 3) years and ranged from 19 to 35 years.…”

Section: Methodsmentioning

confidence: 99%

Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study

King,

Yu,

Vaessen

et al. 2024

JMIR Mhealth Uhealth

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Background As mobile health (mHealth) studies become increasingly productive owing to the advancements in wearable and mobile sensor technology, our ability to monitor and model human behavior will be constrained by participant receptivity. Many health constructs are dependent on subjective responses, and without such responses, researchers are left with little to no ground truth to accompany our ever-growing biobehavioral data. This issue can significantly impact the quality of a study, particularly for populations known to exhibit lower compliance rates. To address this challenge, researchers have proposed innovative approaches that use machine learning (ML) and sensor data to modify the timing and delivery of surveys. However, an overarching concern is the potential introduction of biases or unintended influences on participants’ responses when implementing new survey delivery methods. Objective This study aims to demonstrate the potential impact of an ML-based ecological momentary assessment (EMA) delivery system (using receptivity as the predictor variable) on the participants’ reported emotional state. We examine the factors that affect participants’ receptivity to EMAs in a 10-day wearable and EMA–based emotional state–sensing mHealth study. We study the physiological relationships indicative of receptivity and affect while also analyzing the interaction between the 2 constructs. Methods We collected data from 45 healthy participants wearing 2 devices measuring electrodermal activity, accelerometer, electrocardiography, and skin temperature while answering 10 EMAs daily, containing questions about perceived mood. Owing to the nature of our constructs, we can only obtain ground truth measures for both affect and receptivity during responses. Therefore, we used unsupervised and supervised ML methods to infer affect when a participant did not respond. Our unsupervised method used k-means clustering to determine the relationship between physiology and receptivity and then inferred the emotional state during nonresponses. For the supervised learning method, we primarily used random forest and neural networks to predict the affect of unlabeled data points as well as receptivity. Results Our findings showed that using a receptivity model to trigger EMAs decreased the reported negative affect by >3 points or 0.29 SDs in our self-reported affect measure, scored between 13 and 91. The findings also showed a bimodal distribution of our predicted affect during nonresponses. This indicates that this system initiates EMAs more commonly during states of higher positive emotions. Conclusions Our results showed a clear relationship between affect and receptivity. This relationship can affect the efficacy of an mHealth study, particularly those that use an ML algorithm to trigger EMAs. Therefore, we propose that future work should focus on a smart trigger that promotes EMA receptivity without influencing affect during sampled time points.

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“…Stress is a common experience in everyday life, triggering the release of stress hormones, which increase sweating, breathing, heart rate, and blood pressure as the body responds to perceived stressors (Zawadzki et al, 2019). While these reactions may be helpful in the short term, long-term stress can be detrimental (De Calheiros Velozo et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Religious Gratitude, Hope, and Post-Traumatic Growth after Diagnosis of Cardiovascular Disease

2023

AHSS

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In the realm of psychological and spiritual well-being, this research delves into the intricate dynamics of religious gratitude, hope, and post-traumatic growth. The present study was conducted with the aim to find out the relationship between religious gratitude, hope and post-traumatic growth among patients of cardiovascular disease. Data was collected from the Lahore and Multan cardiology hospitals. A cross-sectional based correlational research design was used. The sample consisted of (N=100) cardiac patient and it was collected by using non-probability purposive sampling technique. The age range of the sample was 35 to 60 years. Data was collected by using three tools i.e., Religious Gratitude Scale (RG), Adult Hope scale (AHS) and Post-Traumatic Growth Inventory (PGTI). The result revealed that there was significant positive relationship among religious gratitude, hope and posttraumatic growth in diagnosed patients with cardiovascular disease. Understanding the role of religious gratitude and hope can inform healthcare providers on how to incorporate spiritual and psychological support into patient care plans. This may lead to more holistic, patient-centered approaches that promote emotional well-being alongside medical treatment.

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Is daily‐life stress reactivity a measure of stress recovery? An investigation of laboratory and daily‐life stress

Cited by 9 publications

References 77 publications

A pilot exploration of the relationships between optimism, affect, and cardiovascular reactivity

A pilot exploration of the relationships between optimism, affect, and cardiovascular reactivity

Investigating Receptivity and Affect Using Machine Learning: Ecological Momentary Assessment and Wearable Sensing Study

Religious Gratitude, Hope, and Post-Traumatic Growth after Diagnosis of Cardiovascular Disease

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