Sleep

An Integrative Analysis of Behavioral, Psychological, and Smartphone Use Factors Associated With Sleep Quality: A Cross-Sectional Study of Saudi Undergraduate Students.

TL;DR

Sleep quality among undergraduate students is primarily influenced by modifiable lifestyle and psychological factors, with anxiety showing the strongest dose-response effect, and evening and bedtime smartphone use predicting worse sleep independent of total usage time.

Key Findings

Demographic variables were not significantly associated with sleep quality among undergraduate students.

  • Cross-sectional web-based survey conducted between April and June 2023 at Jazan University, Saudi Arabia
  • Total sample of 1564 undergraduate students participated
  • Sleep quality assessed using the Pittsburgh Sleep Quality Index (PSQI)
  • Demographic characteristics examined but none reached statistical significance in association with PSQI scores

Students who exercised less reported significantly worse sleep quality than those who exercised more.

  • Mean PSQI score was 8.19 for less active students versus 7.67 for more active students
  • Difference was statistically significant (P = .003)
  • Exercise was analyzed as part of a broader set of health behaviors alongside diet, stimulant intake, smoking, and qat use

Students who followed an unhealthy diet reported significantly worse sleep quality than those with a healthier diet.

  • Mean PSQI score was 8.10 for students with an unhealthy diet versus 7.33 for those with a healthier diet
  • Difference was statistically significant (P = .001)
  • Diet was assessed as a self-reported health behavior variable

High intake of stimulants including coffee, tea, and soft drinks was associated with poorer sleep quality.

  • Coffee consumption greater than 3 times per day was independently associated with worse sleep (β = 1.08, P = .021) in multivariable linear regression
  • Tea and soft drink consumption were also linked to poorer sleep quality
  • Stimulant intake was assessed as a health behavior variable

Anxiety showed a clear dose-response relationship with sleep quality, with higher anxiety severity associated with progressively worse PSQI scores.

  • Mild anxiety was associated with a PSQI increase of 0.89 points (P < .001)
  • Moderate anxiety was associated with a PSQI increase of 2.27 points (P < .001)
  • Severe anxiety was associated with a PSQI increase of 3.43 points (P < .001)
  • Anxiety was the strongest predictor of poor sleep quality identified in the study

Evening and bedtime smartphone use predicted worse sleep quality independently of total smartphone usage time.

  • Evening smartphone use was significantly associated with worse sleep quality (β = 0.52, P = .016)
  • Bedtime smartphone use was also independently associated with worse sleep quality (β = 0.42, P = .029)
  • These associations held after controlling for total smartphone usage time in multivariable linear regression
  • The timing of smartphone use, rather than total duration, emerged as the relevant predictor

The overall mean PSQI scores indicated that the majority of students experienced poor sleep quality.

  • Mean PSQI scores across subgroups ranged approximately from 7.33 to 8.19 depending on behavioral factors
  • A PSQI score above 5 is conventionally used to indicate poor sleep quality
  • Data were analyzed using descriptive statistics, t-tests, ANOVA, and multivariable linear regression
  • The study was conducted among students at a single university, Jazan University in Saudi Arabia

What This Means

This research surveyed 1,564 undergraduate students at Jazan University in Saudi Arabia during spring 2023 to understand what factors are associated with sleep quality. Students completed an online questionnaire that measured sleep quality using a standardized tool called the Pittsburgh Sleep Quality Index (PSQI), along with questions about their lifestyle habits, anxiety levels, and smartphone use. The study found that demographic factors like age or gender were not meaningfully linked to sleep quality, but several changeable behaviors and psychological factors were strongly associated with how well students slept. Anxiety stood out as the most powerful predictor of poor sleep, with students experiencing more severe anxiety reporting dramatically worse sleep scores — each step up in anxiety severity (mild, moderate, severe) was linked to a progressively larger increase in poor sleep scores. Beyond anxiety, students who exercised less, ate less healthily, or consumed high amounts of caffeinated drinks like coffee, tea, and soft drinks also reported worse sleep. Importantly, it was not just how long students used their smartphones that mattered, but specifically when they used them — using smartphones in the evening or at bedtime was independently associated with worse sleep quality even after accounting for total screen time. This research suggests that improving sleep among college students may be best achieved by targeting modifiable habits rather than focusing on who students are demographically. Interventions that help students manage anxiety, encourage regular physical activity and healthier eating, reduce stimulant consumption, and shift smartphone use away from the hours before bed could meaningfully improve student sleep and, by extension, their overall well-being and academic performance.

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Citation

Almalki M, Ahmed M, Alzahrani A, Mehmood A, Felix H, Almalki R, et al.. (2026). An Integrative Analysis of Behavioral, Psychological, and Smartphone Use Factors Associated With Sleep Quality: A Cross-Sectional Study of Saudi Undergraduate Students.. Inquiry : a journal of medical care organization, provision and financing. https://doi.org/10.1177/00469580251413526