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Background: Heart rate variability (HRV) refers to the beat-to-beat fluctuations in the cardiac rhythm occurring due to modulation of the pacemaker (sinoatrial node) activity of the heart by the sympathetic and parasympathetic branches of the autonomic nervous system. Nowadays, cardiovascular diseases and their risk factors are increasingly occurring at a younger age (children and adolescents) and recording of HRV in them will help us to identify cardiovascular autonomic derangement earlier. However, to be used clinically, normative data has to be established in this age group considering other major factors that can influence HRV such as sex, physical activity, and BMI.
Materials And Methods: Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology has provided the standards for measurement of heart rate variability and we have followed the same. In the present study, we have described the normative data for HRV in the adolescent in the age group of 12-17 years, stratified based on sex and physical activity.
Results: Data given below are expressed as median with interquartile range (Median (IQR)) in the following order: non-athlete girls, non athlete boys, athlete girls and athlete boys. Time domain indices - SDNN - 66.35 (40.78), 63.20 (36.20), 113.00 (31.40) and 94.20 (35.55); RMSSD - 69.00 (50.55), 58.70 (43.40), 94.90 (42.10) and 100.30 (47.50); NN50 - 137.50 (100.25), 116.00 (90.50), 137.00 (81.00) and 156.00 (81.50). The frequency domain indices - LF power 1015.00 (1098.75), 945.00 (831.00), 1465 (642.25), and 1211.00 (811.37); HF power - 1324.00 (1707.00), 988.00 (1426.50), 2409.00 (1387.50), and 2219.00 (1752.00); Total power - 3374.50 (3094.25), 2757.00 (2641.00), 5202.00 (2501.50) and 5273.00 (3507.50); LFnu - 45.44 (16.61), 47.63 (29.98), 38.59 (11.81) and 37.10 (11.21); HFnu - 54.56 (16.61), 52.37 (29.98), 61.41 (11.81) and 62.90 (11.21).
Conclusion: We have given sex and physical activity stratified HRV normative data for adolescents in the age between 12-17 years.
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http://dx.doi.org/10.7860/JCDR/2015/15373.6662 | DOI Listing |
Glob Health Action
December 2025
Institute for Global Health Sciences, University of California, San Francisco, CA, USA.
Background: Despite evidence that mothers-in-law (MILs) influence daughters-in-law's (DILs) fertility and family planning decisions in South Asia, emphasizing early fertility and male grandchildren, few reproductive health interventions engage MILs directly.
Objectives: We assessed the feasibility, acceptability, and qualitative impact of a reproductive health and life skill-based intervention on MILs in tribal Rajasthan, India, using a mixed-methods, single-group cluster pilot study.
Methods: We tested a light-touch four-session intervention delivered over 4 months to MILs of newly married women that covered MILs' health, conception, and communication with DILs and sons and addressed modern healthcare misconceptions, while challenging son preference and fertility norms.
J Affect Disord
September 2025
Tianjin University, Medical School, Tianjin, China; Tianjin University, Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, China; Tianjin University, State Key Laboratory of Advanced Medical Materials and Medical Devices, Tianjin, China.
Background: Abnormal gamma-band auditory steady-state response (gamma-ASSR) power has been reported in major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ), but distinguishing between these disorders based solely on power remains challenging. Directed functional connectivity (DFC), which captures topological patterns of causal information flow, may provide more diagnostic-specific markers. However, conventional case-control framework often disregards the substantial individual heterogeneity, yielding unreliable biomarkers.
View Article and Find Full Text PDFNeurosci Biobehav Rev
September 2025
State Key Laboratory for Brain and Cognitive Sciences, The University of Hong Kong, 999077 Hong Kong, China; Department of Psychology, The University of Hong Kong, 999077 Hong Kong, China. Electronic address:
Over the last decades, the traditional 'Homo economicus' model has been increasingly challenged by converging evidence highlighting the critical impact of emotions on decision-making. A classic example is the perception of unfairness in the Ultimatum Game, where humans willingly sacrifice personal gains to punish fairness norm violators. While emotional mechanisms underlying such costly punishment are widely acknowledged, the distinct contributions of moral emotions, particularly anger and disgust, remain debated, partly due to methodological limitations in conventional experiments.
View Article and Find Full Text PDFDrug Alcohol Depend
August 2025
Division of General Pediatrics and Adolescent Health, Department of Pediatrics, University of Minnesota, 717 Delaware St. SE, Minneapolis, MN 55414, United States. Electronic address:
Purpose: Cannabis use is common in adolescence and has been associated with negative health effects, and higher prevalence has been seen among marginalized youth. Research has not examined regular use or attitudes promoting use, particularly taking an approach grounded in intersectionality and minority stressors. The present study examines how regular cannabis use, perceptions of risk, approval from parents and friends, and peer norms of use differ across multiple social positions.
View Article and Find Full Text PDFNeuroimage
September 2025
Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston,
Fetal brain development is a complex and dynamic process, and its disruption can lead to significant neurological disorders. Early detection of brain aberrations during pregnancy is critical for optimizing postnatal medical intervention. We propose a deep generative anomaly detection framework, conditional cyclic variational autoencoding generative adversarial network (CCVAEGAN), that can identify structural brain anomalies using fetal brain magnetic resonance imaging.
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