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<p>This study examines the impact of social media (SM) usage on sleep quality and its consequences for the mental and physical well-being of graduate research scholars in India. In a cross-sectional study of 119 randomly selected participants aged 24–29 years, physiological (heart rate, SpO<sub>2</sub>, blood pressure) and psychological (depression-D, anxiety-A, stress-S) parameters were measured using the DASS-21 inventory. Statistical analyses were conducted using IBM SPSS Statistics 25 and Jupyter Notebook, revealing that increased SM usage before bedtime significantly disrupts sleep patterns, exacerbating depression, anxiety, and stress. Comparative analyses of gender differences showed females experienced a higher prevalence of sleep disruptions and psychological ailments than males. Statistical analysis of the raw data revealed a positive correlation among variables D, A, and S. When the correlations between psychometric scale parameters and physiological parameters were examined, notable trends emerged. Specifically, D exhibited a negative correlation (<i>r</i> = -0.33) with SpO<sub>2</sub>, with a p-value of 0.000155. This negative correlation suggested that SpO<sub>2</sub> levels tend to decrease in individuals experiencing depression, possibly due to symptoms such as shortness of breath. Additionally, the correlation coefficient between D and BPM was reported to be 0.28, with a p-value of 0.000155. Similarly, A was negatively correlated (<i>r</i>= -0.27) with SpO<sub>2</sub>, with a p-value of 0.003. The correlation between A and BPM was notably stronger, with an r of 0.37 and a p-value of 0.000028. Furthermore, A exhibited a significant correlation (p-value = 0.031) with systolic BP. S demonstrated a strong positive correlation with BPM (<i>r</i> = 0.520, p-value = 1.0596E-9) and exhibited significant correlations with diastolic and systolic BP (p-values of 0.002466 and 2.951E-7, respectively). These findings call for urgent interventions to promote healthy SM use and sleep hygiene among scholars, particularly females, to mitigate psychological and physiological distress in high-stress academic settings.</p> Graphical abstract <p></p>

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Impact of social media use on sleep quality and its effect on mental and physical well-being of graduate research scholars

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年9月7日

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  • Kashif Abbas,
  • Nazura Usmani,
  • Safia Habib,
  • Mohd Mustafa,
  • Mudassir Alam,
  • Sahab Kausar,
  • Khushhal Ahmed

摘要

This study examines the impact of social media (SM) usage on sleep quality and its consequences for the mental and physical well-being of graduate research scholars in India. In a cross-sectional study of 119 randomly selected participants aged 24–29 years, physiological (heart rate, SpO2, blood pressure) and psychological (depression-D, anxiety-A, stress-S) parameters were measured using the DASS-21 inventory. Statistical analyses were conducted using IBM SPSS Statistics 25 and Jupyter Notebook, revealing that increased SM usage before bedtime significantly disrupts sleep patterns, exacerbating depression, anxiety, and stress. Comparative analyses of gender differences showed females experienced a higher prevalence of sleep disruptions and psychological ailments than males. Statistical analysis of the raw data revealed a positive correlation among variables D, A, and S. When the correlations between psychometric scale parameters and physiological parameters were examined, notable trends emerged. Specifically, D exhibited a negative correlation (r = -0.33) with SpO2, with a p-value of 0.000155. This negative correlation suggested that SpO2 levels tend to decrease in individuals experiencing depression, possibly due to symptoms such as shortness of breath. Additionally, the correlation coefficient between D and BPM was reported to be 0.28, with a p-value of 0.000155. Similarly, A was negatively correlated (r= -0.27) with SpO2, with a p-value of 0.003. The correlation between A and BPM was notably stronger, with an r of 0.37 and a p-value of 0.000028. Furthermore, A exhibited a significant correlation (p-value = 0.031) with systolic BP. S demonstrated a strong positive correlation with BPM (r = 0.520, p-value = 1.0596E-9) and exhibited significant correlations with diastolic and systolic BP (p-values of 0.002466 and 2.951E-7, respectively). These findings call for urgent interventions to promote healthy SM use and sleep hygiene among scholars, particularly females, to mitigate psychological and physiological distress in high-stress academic settings.

Graphical abstract