Brain Behavior and Immunity, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 1, 2024
Language: Английский
Brain Behavior and Immunity, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 1, 2024
Language: Английский
Published: April 10, 2025
Abstract Introduction Prior data suggest that higher nocturnal heart rate may represent a marker of cardiometabolic disease risk in nonpregnant adults. Data on and pregnancy outcomes are limited. We sought to assess the association maternal with adverse outcomes. Methods This is secondary analysis nulliparas prospective cohort at eight US sites undergoing home sleep study using Embletta‐Gold device bipolar electrocardiogram baseline (6 0 –15 6 weeks) follow‐up (22 –31 visits. Exposures were mean, minimum, maximum (analyzed separately). Outcomes interest gestational diabetes, hypertensive disorders pregnancy, preterm birth, small‐for‐gestational age, stillbirth. Multivariable logistic regression models estimated odds each outcome, except for stillbirth due low frequency, per 5‐beat rate, adjusted possible confounders. Results Among 2952 eligible nulliparas, 30% experienced an outcome. identified diabetes (minimum mean ± standard deviation, vs. no diabetes: 49 10 46 11; ratio [aOR] 1.15, 95% confidence interval [CI] 1.03–1.29) (48 11 aOR 1.05, CI 1.01–1.10) minimum baseline; also rate. At follow‐up, we lower age (76 78 9; 0.83, 0.78–0.88) 12 51 13; 0.90, 0.86–0.94). Conclusion Higher and/or associated diabetes. reflect sympathetic decreased parasympathetic activity affected gravidas. Conversely, late which be reflective maladaptive hemodynamic changes
Language: Английский
Citations
0Journal of Medical Internet Research, Journal Year: 2023, Volume and Issue: 25, P. e47112 - e47112
Published: Oct. 11, 2023
Background Recent studies have linked low heart rate variability (HRV) with COVID-19, indicating that this parameter can be a marker of the onset disease and its severity predictor mortality in infected people. Given large number wearable devices capture physiological signals human body easily noninvasively, several used equipment to measure HRV individuals related these measures COVID-19. Objective The objective study was assess utility measurements obtained from as predictive indicators well worsening symptoms affected individuals. Methods A systematic review conducted searching following databases up end January 2023: Embase, PubMed, Web Science, Scopus, IEEE Xplore. Studies had include (1) patients COVID-19 (2) involving use devices. We also meta-analysis reduce possible biases increase statistical power primary research. Results main finding association between symptoms. In some cases, it predict before positive clinical test. reported reduction parameters is associated Individuals presented SD normal-to-normal interbeat intervals root mean square successive differences compared healthy decrease 3.25 ms (95% CI −5.34 −1.16 ms), 1.24 −3.71 1.23 ms). Conclusions Wearable changes HRV, such smartwatches, rings, bracelets, provide information allows for identification during presymptomatic period through an indirect noninvasive self-diagnosis.
Language: Английский
Citations
9International Journal of Women s Health, Journal Year: 2025, Volume and Issue: Volume 17, P. 865 - 877
Published: March 1, 2025
Gestational diabetes mellitus (GDM) is a common complication during pregnancy that poses considerable risks to both maternal and fetal health. However, its effect on cardiac autonomic function, measured by heart rate variability (HRV), remains uncertain. This study aims investigate potential alterations in function women diagnosed with GDM. In this cross-sectional study, 80 Kazakh pregnant their third trimester GDM were enrolled from the endocrinology department of Aktobe Medical Center between January April 2023. A control group 30 third-trimester without was also selected outpatient clinics City. HRV participants seated position. nomogram developed predict risk, integrating relevant parameters associated condition. Women found be older than those (p=0.005), though there no significant differences education level, employment status, or parity two groups. larger size (p=0.035) higher incidence miscarriages abortions (p<0.05) compared group. Additionally, obesity more prevalent among (p<0.05). showed healthy women. The demonstrated good predictive accuracy, an area under curve 0.7847 training cohort. may prove useful for clinicians patients making informed clinical decisions assessing outcomes. Notably, observed uncomplicated pregnancies
Language: Английский
Citations
0Biological Research For Nursing, Journal Year: 2025, Volume and Issue: unknown
Published: March 24, 2025
Maternal mental health conditions significantly contribute to pregnancy-related mortality in the United States. Approximately 20–25% of postnatal women exhibit symptoms depressive and anxiety disorders. Mental is influenced by stress, which affects mood, cognition, behavior. Heart rate variability (HRV), time interval between consecutive heartbeats, a physiological marker for assessing stress levels, providing critical insights into body’s autonomic responses. Wearable devices measuring HRV offer non-invasive method monitor health, enabling early detection maternal dynamics facilitate timely interventions. In this scoping review, we aimed capture current state science on two areas focus: (1) utilization wearable technology monitoring pregnant postpartum women, (2) findings from these perinatal studies, including observed trends throughout pregnancy postpartum, as well association HRV, health. The six included studies employed five fitness tracking wearables, utilizing either periodic or continuous 24-h monitoring. Findings include evidence that declines during pregnancy, with return normal levels postpartum. Associations were inconsistent across some demonstrating correlations others reporting no relationship. Postpartum measurements effectively differentiated depression (PPD) versus those adjustment disorder (AJD), high diagnostic accuracy. shows promise biomarker among pregnant/postpartum people, although more work needed standardize optimal methods measurement population.
Language: Английский
Citations
0Sensors, Journal Year: 2024, Volume and Issue: 24(5), P. 1596 - 1596
Published: Feb. 29, 2024
We recently reported enhanced parasympathetic activation at rest throughout pregnancy associated with regular yoga practice. The present study presents a secondary analysis of data collected within prospective cohort 33 pregnant women practicing once weekly and 36 controls not involved in formal exercise programs. objective was to assess the impact prenatal on autonomic nervous system stress response. Healthy singleton pregnancies were recruited first trimester. There no significant difference maternal body mass index (BMI) between group (24.06 ± 3.55 vs. 23.74 3.43 kg/m2, p = 0.693). Women older (28.6 3.9 31.3 3.5 years, 0.005) more often nulliparous (26 (79%) 18 (50%), 0.001). studied heart rate variability (HRV) parameters time domain (SDNN, standard deviation R-R intervals, RMSSD, square root mean squared differences successive intervals) frequency (ln(LF/HF), natural logarithm low-frequency high-frequency power), as well synchronization indices rate, blood pressure respiration during immediately following acute psychological standardized mental challenge test. Measurements performed per trimester before after or 30 min moderate-intensity walk. Statistical comparison using three-way analyses variance (p < 0.05 significant). Time HRV significantly higher compared regardless (F 7.22, 0.009 for SDNN F 9.57, 0.003 respectively). observed terms ln(LF/HF) indices. Regular practice reduced sympathetic response quicker recovery stress. These effects persisted
Language: Английский
Citations
1Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Aug. 27, 2024
Preterm birth (PTB) remains a global health concern, impacting neonatal mortality and lifelong consequences. Traditional methods for estimating PTB rely on electronic records or biomedical signals, limited to short-term assessments in clinical settings. Recent studies have leveraged wearable technologies in-home maternal monitoring, offering continuous assessment of autonomic nervous system (ANS) activity facilitating the exploration risk. In this paper, we conduct longitudinal study assess risk by examining ANS through heart rate (HR) variability (HRV). To achieve this, collect long-term raw photoplethysmogram (PPG) signals from 58 pregnant women (including seven preterm cases) gestational weeks 12–15 three months post-delivery using smartwatches daily life We employ PPG processing pipeline accurately extract HR HRV, an autoencoder machine learning model with SHAP analysis generate explainable abnormality scores indicative Our results reveal distinctive patterns during second pregnancy trimester, indicating potential early estimation. Moreover, find that HR, average interbeat intervals (AVNN), SD1SD2 ratio, standard deviation (SDNN) emerge as significant indicators.
Language: Английский
Citations
1Life, Journal Year: 2024, Volume and Issue: 14(8), P. 1039 - 1039
Published: Aug. 20, 2024
(1) Background: Pregnancy induces significant physiological adaptations with substantial impacts on the cardiovascular system. Hypertensive disorders of pregnancy (HDPs) are connected to risks maternal and fetal complications, contributing significantly morbidity mortality across globe. This study focuses evaluating autonomic dysfunction by analyzing heart rate variability (HRV) assessing cardiac performance through global longitudinal strain (GLS) using speckle tracking echocardiography, as well examining diastolic function in pregnant women HDP compared healthy controls. (2) Methods: A case–control was conducted involving diagnosed gestational hypertension (GH), preeclampsia (PE), or severe (SPE) case group, control group. HRV measured evaluate function, GLS assessed evaluated standard echocardiographic parameters. Data were analyzed compare regulation between among different subgroups. (3) Results: The group exhibited reduced parameters controls, indicating notable dysfunction. Speckle echocardiography revealed lower HDP, particularly those SPE, Diastolic also present (4) Conclusions: valuable non-invasive tools for detecting impairments hypertensive disorders. These findings suggest that dysfunctions prevalent HDP.
Language: Английский
Citations
1Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: March 14, 2024
Language: Английский
Citations
0Stress, Journal Year: 2024, Volume and Issue: 27(1)
Published: March 18, 2024
Objectives The purpose of this study was to determine the relationship between fetal exposure maternal prenatal stressors and infant parasympathetic (PNS) sympathetic (SNS) nervous function at 3 timepoints across first year life.
Language: Английский
Citations
0Journal Of Advanced Zoology, Journal Year: 2024, Volume and Issue: unknown
Published: April 6, 2024
Gestational diabetes mellitus (GDM) and autonomic dysfunction are two closely connected disorders that have received considerable focus in relation to mother health during pregnancy.This review study seeks provide a thorough analysis of existing research, investigating the complex connection between GDM (gestational mellitus), dysfunction, their combined influence on likelihood developing preeclampsia. is prevalent metabolic condition associated with pregnancy, which characterised by an impaired ability process glucose often occurs for first-time pregnancy. Preeclampsia high blood pressure only pregnancy linked negative consequences both foetus. Autonomic changes sympathetic parasympathetic nerve systems, now recognised as possible factor development gestational This will examine relationship (GDM), preeclampsia, focusing epidemiological, clinical, molecular aspects. aims investigate reciprocal association examining potential one disease worsen other. Moreover, several routes via may impact occurrence preeclampsia context GDM, elucidating underlying pathophysiological processes. enhance our awareness intricate consolidating current information. These insights facilitate creation focused therapies, individualised management approaches, enhanced risk assessment tools. This, turn, improve outcomes foetus pregnancies affected these interrelated disorders.
Language: Английский
Citations
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