Affective reactivity, resting heart rate variability, and marital quality: A 10-year longitudinal study of U.S. adults.
Anthony D OngSamuel GardnerBetul UrganciGul GunaydinEmre SelcukPublished in: Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) (2019)
Increasing evidence suggests that heightened affective reactivity to daily stressors has implications for mental and physical health, yet little is known about the long-term repercussions of day-to-day stress reactivity for marital quality. This study examined associations between affective reactivity and two indicators of marital well-being (marital satisfaction and marital risk) over a 10-year period. An additional aim was to investigate the potential role of resting high-frequency heart rate variability (HF-HRV), an index of cardiac vagal regulation, in moderating the association between affective reactivity and marital quality. These relationships were examined using data from 344 married adults in the Midlife in the United States (MIDUS II and III) study. Respondents completed daily telephone interviews and longitudinal reports of stressors, affect, and marital quality. HF-HRV was measured at rest. Greater affective reactivity to daily stressors predicted lower marital satisfaction and higher marital risk 10 years later. These associations remained after adjustments for potential confounders, including demographics, physical and behavioral factors, and psychological characteristics. In addition, HF-HRV moderated the associations between affective reactivity and marital quality. Results are consistent with a buffering effect, in which high levels of HF-HRV offset the inverse association between affective reactivity and marital quality. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Keyphrases
- heart rate variability
- heart rate
- bipolar disorder
- high frequency
- physical activity
- mental health
- healthcare
- blood pressure
- transcranial magnetic stimulation
- heart failure
- emergency department
- acute heart failure
- big data
- depressive symptoms
- electronic health record
- deep learning
- climate change
- social support
- stress induced
- data analysis