Introduction: In this study, we examined the prevalence of technostress and sleep quality using sociodemographic characteristics and a large number of participants. We also investigated the link between technostress and sleep quality in Indonesian university students. Methods: This cross-sectional study included 1356 Indonesian students. The Technostress Creator Questionnaire and the Pittsburgh Sleep Quality Index were used to assess the technostress levels and sleep quality. The generalized linear model was used to determine sociodemographic factors that might predict technostress levels and sleep quality. The correlation between technostress and sleep quality was investigated using the Spearman’s correlation test. Results: The respondents reported moderate levels of technostress (3.12 ± 0.53 out of 5.00) and poor sleep quality (7.9 ± 2.83). Higher levels of technostress were associated with lower academic levels, a lower monthly allowance, a longer duration of device ownership, a larger number of devices, and long screen durations. Science, technology, engineering, and math (STEM) students experienced lower technostress than non-STEM students. Lower monthly allowances and more screen time were linked to poor sleep quality. Higher levels of technostress were significantly associated with poorer sleep quality ( P &lt; 0.05). Conclusion: Our study found that Indonesian university students experienced moderate technostress, which was related to their academic levels, allowances, study discipline, screen times, number of owned devices, and duration of device ownership. Students reported poor sleep quality, which was linked to monthly allowance and screen time. Students with higher levels of technostress reported poorer sleep quality.

Eno Aulia Hapsari

Technostress and Sleep Quality among University Students in Indonesia: A Cross-sectional Study

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Journal Info

Category	Quartile
PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH	1