DIGITAL OVERLOAD AND MENTAL HEALTH CHALLENGES AMONG PHARMACY STUDENTS : IMPLICATIONS FOR ACADEMIC BURNOUT AND PERFORMANCE
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Abstract
BACKGROUND: In the digital era, university students are increasingly exposed to high levels of online
engagement through academic platforms, social media, and entertainment, leading to a phenomenon known as digital overload. This study examined the relationship between digital overload, mental health (depression), and academic burnout among pharmacy students at the University of Benin, Nigeria, and explored how these factors influence academic performance. OBJECTIVES: To assess the prevalence of digital overload among pharmacy students in UNIBEN. To measure the degree of academic burnout (emotional exhaustion and academic inefficacy) among the respondents. To examine the relationship between digital overload and mental health on academic burnout. To assess the extent to which digital overload and academic burnout affect students academic performance. METHOD: A descriptive cross-sectional research design was adopted, with data collected from 334 pharmacy students across all levels using a structured questionnaire comprising the Maslach Burnout Inventory–Student Survey (MBI-SS) and the Internet Addiction Test (IAT). Data were analyzed using IBM SPSS version 25, employing descriptive statistics, Pearson’s correlation, and one-way ANOVA tests.
engagement through academic platforms, social media, and entertainment, leading to a phenomenon known as digital overload. This study examined the relationship between digital overload, mental health (depression), and academic burnout among pharmacy students at the University of Benin, Nigeria, and explored how these factors influence academic performance. OBJECTIVES: To assess the prevalence of digital overload among pharmacy students in UNIBEN. To measure the degree of academic burnout (emotional exhaustion and academic inefficacy) among the respondents. To examine the relationship between digital overload and mental health on academic burnout. To assess the extent to which digital overload and academic burnout affect students academic performance. METHOD: A descriptive cross-sectional research design was adopted, with data collected from 334 pharmacy students across all levels using a structured questionnaire comprising the Maslach Burnout Inventory–Student Survey (MBI-SS) and the Internet Addiction Test (IAT). Data were analyzed using IBM SPSS version 25, employing descriptive statistics, Pearson’s correlation, and one-way ANOVA tests.
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