Digital Dependency and Student Wellbeing: A Statistical Study of Mobile Usage, Academic Performance, and Emotional Health

Sohail Khadpolkar, Asha Bhave, Jyoti Vanawe, Brijesh Gupta, Savita Chandel, Satish Singh

Abstract: Excessive smartphone use among students has contributed to rising concerns regarding attention deficits, academic disruption, sleep disturbances, and digital dependency. Existing research highlights the cognitive and psychological burden associated with prolonged screen exposure. This study investigates mobile usage patterns among 305 students and examines the academic, emotional, and behavioral consequences using a combination of descriptive statistics and inferential analyses. A cross-sectional survey design was used. Statistical techniques included chi-square tests, one-way ANOVA, Welch?s t-test, Spearman correlation, and logistic/linear regression modeling. Data were interpreted using theoretical frameworks including Cognitive Load Theory, Circadian Rhythm Disruption, and Digital Dependency Models.

Keywords: mobile dependency, screen time, digital wellbeing, student behavior, smartphone addiction, attention reduction, sleep disturbance

How to Cite?: Sohail Khadpolkar, Asha Bhave, Jyoti Vanawe, Brijesh Gupta, Savita Chandel, Satish Singh, "Digital Dependency and Student Wellbeing: A Statistical Study of Mobile Usage, Academic Performance, and Emotional Health", Volume 14 Issue 11, November 2025, International Journal of Science and Research (IJSR), Pages: 1636-1639, https://www.ijsr.net/getabstract.php?paperid=SR251121145536, DOI: https://dx.doi.org/10.21275/SR251121145536