Childhood Parental Warmth and Heart Rate Variability in Midlife: Implications for Health.
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ABSTRACT:
SUBMITTER: Alen NV
PROVIDER: S-EPMC7685289 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Numerous studies have shown that early life experiences can affect well-being later in life. Additionally, previous literature has emphasized the importance of exploring the role of mediators in developmental research (e.g., coping strategies). The present study used 3 waves of longitudinal data across 20 years from the national survey Midlife Development in the United States (N = 2,088) to examine the link between retrospectively reported parental warmth and well-being in adulthood by exploring 2 categories of coping strategies (emotion- and problem-focused strategies) as possible mediators. Three cross-lagged panel models, exhibiting good fit, were conducted in Mplus. Significant indirect effects were found where both negative and positive affect (Time 2) partially mediated the association between perceived parental warmth (Time 1) and emotion-focused coping (Time 3). Further, evidence for bidirectional effects were shown by the observed significant indirect effects of problem-focused coping (Time 2) partially explaining the association between perceived parental warmth (Time 1) and eudaimonic well-being (Time 3) as well as eudaimonic well-being (Time 2) partially explaining the link between parental warmth (Time 1) and problem-focused coping (Time 3). These findings suggest that it is important to consider early life experiences when examining both well-being and coping during adulthood. (PsycINFO Database Record
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Project description:Heart rate (HR) and heart rate variability (HRV) are commonly used physiological measures in animals. While several studies exist on horse HRV, less information is available for donkeys. This scoping review aims to understand the extent and type of published evidence on donkey HR and HRV, their clinical and research applications, the devices used, and the analysis performed. Only quantitative primary studies published in English were considered. Four different databases were queried through the Web of Science platform, with additional evidence identified by citation chasing. After a two-stage screening phase, data were extracted considering study and population characteristics, information on HR/HRV analysis, and applications. The majority of the 87 included articles (about 80%) concerned a sample size of up to 20 individuals and were published since 2011 (about 65%). Forty-one articles employed an electronic device for signal acquisition (mainly electrocardiographs and heart rate monitors), yet only two articles reported HRV parameters. The literature on donkey HRV is lacking, and this gap can be filled by gaining knowledge on donkey characteristics and finding useful tools for welfare assessment. Comparison with what is known about the horse allows a discussion of the technical and interpretative difficulties that can be encountered with donkeys.
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Project description:OBJECTIVE:This study evaluates the associations between people's trait-like patterns of stress in daily life (stressor frequency, perceived stressor severity, affective reactivity to stressors, and negative affect) and laboratory-assessed heart rate variability (HRV). METHODS:Data were collected from 909 participants aged 35 to 85 years in the Midlife in the United States Study. Participants reported negative affect and minor stressful events during telephone interviews on 8 consecutive evenings. On a separate occasion, HRV was measured from electrocardiograph recordings taken at rest during a laboratory-based psychophysiology protocol. Regression models were used to evaluate the associations between daily stress processes and three log-transformed HRV indices: standard deviation of R-R intervals (SDRR), root mean square of successive differences (RMSSD), and high-frequency power (high-frequency HRV [HF-HRV]). Analyses were adjusted for demographics, body mass index, comorbid conditions, medications, physical activity, and smoking. RESULTS:Stressor frequency was unrelated to HRV (r values ranging from -0.04 to -0.01, p values >.20). However, people with greater perceived stressor severity had lower resting SDRR (fully adjusted B [standard error {SE}] = -0.05 [0.02]), RMSSD (-0.08 [0.03]), and HF-HRV (-0.16 [0.07]). Individuals with more pronounced affective reactivity to stressors also had lower levels of all three HRV indices (SDRR: B [SE] = -0.28 [0.14]; RMSSD: -0.44 [0.19]; HF-HRV: -0.96 [0.37]). Furthermore, aggregated daily negative affect was linked to reduced RMSSD (B [SE] = -0.16 [0.08]) and HF-HRV (-0.35 [0.15]). CONCLUSIONS:In a national sample, individual differences in daily negative affect and responses to daily stressors were more strongly related to cardiovascular autonomic regulation than the frequency of such stressors.
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Project description:Wearable technology and neuroimaging equipment using photoplethysmography (PPG) have become increasingly popularized in recent years. Several investigations deriving pulse rate variability (PRV) from PPG have demonstrated that a slight bias exists compared to concurrent heart rate variability (HRV) estimates. PPG devices commonly sample at ~20-100 Hz, where the minimum sampling frequency to derive valid PRV metrics is unknown. Further, due to different autonomic innervation, it is unknown if PRV metrics are harmonious between the cerebral and peripheral vasculature. Cardiac activity via electrocardiography (ECG) and PPG were obtained concurrently in 54 participants (29 females) in an upright orthostatic position. PPG data were collected at three anatomical locations: left third phalanx, middle cerebral artery, and posterior cerebral artery using a Finapres NOVA device and transcranial Doppler ultrasound. Data were sampled for five minutes at 1000 Hz and downsampled to frequencies ranging from 20 to 500 Hz. HRV (via ECG) and PRV (via PPG) were quantified and compared at 1000 Hz using Bland-Altman plots and coefficient of variation (CoV). A sampling frequency of ~100-200 Hz was required to produce PRV metrics with a bias of less than 2%, while a sampling rate of ~40-50 Hz elicited a bias smaller than 20%. At 1000 Hz, time- and frequency-domain PRV measures were slightly elevated compared to those derived from HRV (mean bias: ~1-8%). In conjunction with previous reports, PRV and HRV were not surrogate biomarkers due to the different nature of the collected waveforms. Nevertheless, PRV estimates displayed greater validity at a lower sampling rate compared to HRV estimates.
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Project description:ObjectiveThis study examined the longitudinal association between parental warmth and offspring flourishing in mid-life. We also considered associations between parental warmth and a number of mental health problems and adverse health behavioral outcomes.MethodLongitudinal data from the Midlife in the United States Study (N = 3,929, mean baseline age = 47.4 years) were analyzed using generalized estimating equations. Parental warmth in childhood was recalled at phase I (1995-1996), while flourishing and other outcomes were self-reported at phase II (2004-2006). Following an approach developed by Keyes, flourishing was operationalized as a combined measure incorporating assessments of three aspects of well-being, including emotional, psychological, and social well-being.ResultsThe results suggest that parental warmth was positively associated with the continuous score of flourishing (B = 0.21, 95% CI = 0.18, 0.25). The association was not specific to any particular component (emotional, psychological, or social well-being) or subdomain of flourishing. Parental warmth was also inversely associated with several adverse health behavior outcomes such as drug use and smoking.ConclusionsParental warmth in childhood may help promote offspring functioning across multiple domains of well-being in mid-life. The findings help to strengthen the call for a public health focus on the importance of parenting for outcomes beyond childhood and well into adulthood, and suggest the value of targeting parenting practices for prevention and intervention strategies to improve population health and well-being.
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