Intrapersonal and interpersonal vocal affect dynamics during psychotherapy.

2021 ◽  
Vol 89 (3) ◽  
pp. 227-239
Author(s):  
Adar Paz ◽  
Eshkol Rafaeli ◽  
Eran Bar-Kalifa ◽  
Eva Gilboa-Schectman ◽  
Sharon Gannot ◽  
...  
Keyword(s):  
Vocal Affect ◽  
Affect Dynamics

A mind full of happiness: How mindfulness shapes affect dynamics in daily life.

Emotion ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 436-451 ◽  
Author(s):  
Zarah Rowland ◽  
Mario Wenzel ◽  
Thomas Kubiak
Keyword(s):  
Daily Life ◽  
Affect Dynamics

scholarly journals 193 Sleep Variability and Affect Dynamics Among College Students during COVID-19 Pandemic

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A78-A78
Author(s):  
Zahra Mousavi ◽  
Jocelyn Lai ◽  
Asal Yunusova ◽  
Alexander Rivera ◽  
Sirui Hu ◽  
...  
Keyword(s):  
Emerging Adults ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Positive And Negative Affect ◽  
Sleep Onset Latency ◽  
Deep Sleep ◽  
Onset Latency ◽  
Sleep Patterns ◽  
Light Sleep ◽  
Affect Dynamics

Abstract Introduction Sleep disturbance is a transdiagnostic risk factor that is so prevalent among emerging adults it is considered to be a public health epidemic. For emerging adults, who are already at greater risk for psychopathology, the COVID-19 pandemic has disrupted daily routines, potentially changing sleep patterns and heightening risk factors for the emergence of affective dysregulation, and consequently mood-related disturbances. This study aimed to determine whether variability in sleep patterns across a 3-month period was associated with next-day positive and negative affect, and affective dynamics, proximal affective predictors of depressive symptoms among young adults during the pandemic. Methods College student participants (N=20, 65% female, Mage=19.80, SDage=1.0) wore non-invasive wearable devices (the Oura ring https://ouraring.com/) continuously for a period of 3-months, measuring sleep onset latency, sleep efficiency, total sleep, and time spent in different stages of sleep (light, deep and rapid eye movement). Participants reported daily PA and NA using the Positive and Negative Affect Schedule on a 0-100 scale to report on their affective state. Results Multilevel models specifying a within-subject process of the relation between sleep and affect revealed that participants with higher sleep onset latency (b= -2.98, p<.01) and sleep duration on the prior day (b= -.35, p=.01) had lower PA the next day. Participants with longer light sleep duration had lower PA (b= -.28, p=.02), whereas participants with longer deep sleep duration had higher PA (b= .36, p=.02) the next day. On days with higher total sleep, participants experienced lower NA compared to their own average (b= -.01, p=.04). Follow-up exploratory bivariate correlations revealed significant associations between light sleep duration instability and higher instability in both PA and NA, whereas higher deep sleep duration was linked with lower instability in both PA and NA (all ps< .05). In the full-length paper these analyses will be probed using linear regressions controlling for relevant covariates (main effects of sleep, sex/age/ethnicity). Conclusion Sleep, an important transdiagnostic health outcome, may contribute to next-day PA and NA. Sleep patterns predict affect dynamics, which may be proximal predictors of mood disturbances. Affect dynamics may be one potential pathway through which sleep has implications for health disparities. Support (if any):

scholarly journals Exploring negative affect dynamics in high resolution: within-person relationship of inertia and instability with depression is mediated by affect intensity

2021 ◽  
Author(s):  
Levente Rónai ◽  
Bertalan Polner
Keyword(s):  
Depressive Symptoms ◽  
Multilevel Models ◽  
Negative Mood ◽  
Population Sample ◽  
Self Report ◽  
Affective States ◽  
Affect Intensity ◽  
Individual Level ◽  
Affective Functioning ◽  
Affect Dynamics

Background: Temporal patterns of affective functioning such as emotional inertia and instability may indicate changes in emotion regulation that predict depression. However, affect dynamics’ incremental validity over affect intensity and exposure to stressors in predicting depression has been questioned.Methods: We collected longitudinal data regarding momentary affective states (measured multiple times a day), perceived stressors and depressive symptoms (measured every three days) from a general population sample during the COVID-19 pandemic’s first wave in Hungary. The final dataset included 7165 affective states surveys from 125 participants, which were aggregated in 464 three-day measurement windows. Using multilevel models, we explored the unique effects of within-person changes in mean level, inertia, and instability of negative affective states (NA), and stressor-exposure on two domains of depression (anhedonia and negative mood and thoughts) within the three-day windows.Results: Within-person increases in NA inertia and NA instability showed significant positive associations with negative mood and thoughts. These effects did not remain significant after adjusting for mean levels of NA. Multilevel mediation analysis revealed that within individuals, NA inertia and instability indirectly predicted negative mood and thoughts through elevated NA mean.Limitations: The application of self-report questionnaires might bias the results, and the overrepresentation of female participants could limit the generalizability of the findings.Conclusions: Specific patterns of temporal affective functioning are indirect predictors of depressive symptoms at the within-individual level. Our findings may facilitate automated depression risk assessment on the basis of simple affective time series.

Microanalysis of 4-Month Infant Vocal Affect Qualities and Maternal Postpartum Depression

2010 ◽  
Vol 38 (1) ◽  
pp. 8-16 ◽  
Author(s):  
Donna Demetri Friedman ◽  
Beatrice Beebe ◽  
Joseph Jaffe ◽  
Don Ross ◽  
Sandra Triggs
Keyword(s):  
Postpartum Depression ◽  
Vocal Affect ◽  
Maternal Postpartum Depression

Sleep Patterns and Affect Dynamics Among College Students during COVID-19 Pandemic (Preprint)

2021 ◽  
Author(s):  
Zahra Mousavi ◽  
Jocelyn Lai ◽  
Katharine Simon ◽  
Alexander P. Rivera ◽  
Asal Yunusova ◽  
...  
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Longitudinal Design ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Onset Latency ◽  
Sleep Patterns ◽  
Daily Lives ◽  
Affect Dynamics

BACKGROUND Sleep disturbance is a transdiagnostic risk factor so prevalent among young adults it is considered a public health epidemic, exacerbated by the COVID-19 pandemic. Sleep may contribute to mental health via affect dynamics. Prior literature on contribution of sleep to affect is largely based on correlational studies or experiments that do not generalize to the daily lives of young adults. Furthermore, the literature examining the associations between sleep variability and affect dynamics remains scant. OBJECTIVE In an ecologically valid context, using an intensive longitudinal design, we aimed to assess the daily and long-term associations between sleep patterns and affect dynamics among young adults during the COVID-19 pandemic. METHODS College student participants (N=20, 65% female) wore an Oura ring continuously for 3-months to measure sleep patterns, such as average and variability in total sleep time (TST), wake after sleep onset (WASO), sleep efficiency (SE), and sleep onset latency (SOL), resulting in 1173 unique observations. We administered a daily ecological momentary assessment (EMA) using a mobile health app to evaluate positive (PA) and negative affect (NA), and COVID-worry once per day. RESULTS Participants with higher SOL and TST on the prior day had lower PA the next day. Further, higher average TST across the 3-month period predicted lower average PA. TST variability predicted higher affect variability across all affect domains. CONCLUSIONS Fluctuating sleep patterns are associated with affect dynamics at daily and long-term scales. Low PA and affect variability may be potential pathways through which sleep has implications for mental health.

scholarly journals Affect dynamics across the lifespan: With age, heart rate reacts less strongly, but recovers more slowly from unpleasant emotional situations.

2014 ◽  
Vol 29 (3) ◽  
pp. 563-576 ◽  
Author(s):  
Cornelia Wrzus ◽  
Viktor Müller ◽  
Gert G. Wagner ◽  
Ulman Lindenberger ◽  
Michaela Riediger
Keyword(s):  
Heart Rate ◽  
Affect Dynamics

scholarly journals Manifold invariants affect dynamics in anti de Sitter gravity

2013 ◽  
Vol 91 (6) ◽  
pp. 465-466 ◽  
Author(s):  
Tomáš Liko
Keyword(s):  
Cosmological Constant ◽  
Configuration Space ◽  
De Sitter ◽  
First Order ◽  
Diffeomorphism Invariance ◽  
Negative Cosmological Constant ◽  
Weight Factors ◽  
Fixed Weight ◽  
Affect Dynamics

The first-order Holst action with negative cosmological constant is rendered finite by requiring functional differentiability on the configuration space of tetrads and connections. The surface terms that arise in the action for anti de Sitter gravity are equivalent to the Euler and Pontryagin densities with fixed weight factors; these terms modify the Noether charges that arise from diffeomorphism invariance of the action.

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