Evidence map›Paper›PMID 42009853›Full record

ArticleScientific reports2026

Longitudinal effects of technostress on bedtime procrastination and sleep quality among university students.

Xu Yuyao, Xiu Wang, Khalid Abdullah Alotaibi, Jamal Ahmad, Ayesha Khan

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xu YuyaoMental Health Education and Counseling Center for College Students, Zhengzhou University of Science and Technology, Zhengzhou, Henan, China.
Xiu WangDepartment of Educational Psychology, Harbin Normal University, Harbin, China.
Khalid Abdullah AlotaibiDepartment of Psychology, College of Education, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia. ka.alotaibi@psau.edu.sa.
Jamal AhmadDepartment of Psychology, Allama Iqbal Open University, Islamabad, 44310, Pakistan.
Ayesha KhanDepartment of Education, Allama Iqbal Open University, Islamabad, 44310, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing reliance on digital technologies in higher education has raised concerns about technostress and its potential effects on students' health behaviors. This study examined the longitudinal associations between technostress, bedtime procrastination, and sleep quality among university students over one academic semester. A two-wave survey was conducted among students from public and private universities in Islamabad, Pakistan. Data were collected at the beginning of the semester (March 2024) and again before final examinations (June 2024). A total of 929 students completed both survey waves. A cross-lagged panel model was used to examine prospective relationships among technostress, bedtime procrastination, and sleep quality. For interpretational clarity, PSQI scores were recoded so that higher values indicated better sleep quality. Technostress at Time 1 significantly predicted bedtime procrastination at Time 2 (β = 0.348, p < 0.001) and sleep quality at Time 2 (β = -0.363, p < 0.001). Bedtime procrastination at Time 1 also predicted sleep quality at Time 2 (β = -0.319, p < 0.001). Mediation analysis indicated that bedtime procrastination at Time 2 significantly mediated the relationship between technostress at Time 1 and sleep quality at Time 2 (β = -0.128, 95% CI [- 0.251, - 0.031]). The findings highlight the importance of addressing technology-related stress and sleep behaviors in student well-being initiatives. Future research may examine targeted strategies to mitigate technostress and improve sleep outcomes in academic settings.

Indexed as

ProcrastinationSleepSleep QualityStudentsAdultFemaleHumansLongitudinal StudiesMalePakistanSurveys and QuestionnairesUniversitiesYoung AdultBedtime procrastinationCross-lagged panel modelLongitudinal studySleep qualityTechnostressUniversity students

Identifiers

PMID42009853
PMCPMC13216320

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.