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

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 < 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.

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Publication Details

Journal
Asian Journal of Social Health and Behavior
Published
2024-10-01
DOI
https://doi.org/10.4103/shb.shb_177_24
Citations
5
Primary Topic
Technostress in Professional Settings
Type
article
Field-Weighted Citation Impact
3.22
Controls
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article

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

Kanthi Arum Widayati, Eneng Nunuz Rohmatullayaly, Eno Aulia Hapsari
5 citations
Asian Journal of Social Health and Behavior
Technostress in Professional Settings
3.22
article

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

Kanthi Arum Widayati, Eneng Nunuz Rohmatullayaly, Eno Aulia Hapsari
article en
5 citations

Abstract

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 < 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.

Asian Journal of Social Health and BehaviorVol. 7(4)
IPB University (ID), Padjadjaran University (ID)
No poverty
Openalex Percentile: Top 8%
Technostress in Professional Settings
3.22
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