Review of: "Exploring the Multidimensional Influences on Sleep and Active Heart Rate Dynamics: A Comprehensive Study"

This manuscript presents a longitudinal, multidimensional analysis of sleep and active heart rate patterns using wearable device data from college students.The study integrates social, psychological, environmental, behavioral, and physiological determinants, analyzed through latent growth-curve modeling.The topic is highly relevant, especially with the increasing clinical and research reliance on wearable cardiovascular monitoring.The manuscript demonstrates strong data depth and statistical rigor.However, several issues related to causal interpretation, external validity, and physiological interpretation should be addressed.