Insomnia Severity and Its Demographic and Health-Related Correlates Among Paramedic Students in Saudi Arabia: A Cross-Sectional Study

Background: Sleep disturbances among healthcare students can negatively affect academic performance and future clinical decision-making. However, limited evidence exists on insomnia among Emergency Medical Services (EMS) students, a group exposed to unique academic and operational stressors. This study assessed insomnia severity and its demographic and health-related correlates among paramedic students in Saudi Arabia. Methods: A cross-sectional study was conducted among 238 EMS students in Saudi Arabia. Insomnia severity was assessed using the Insomnia Severity Index (ISI). Descriptive statistics summarized insomnia levels, and bivariate tests and multiple linear regression were used to examine group differences and predictors in SPSS. Results: The mean ISI score was 11.8 ± 5.3, indicating subthreshold insomnia among paramedic students. Higher insomnia severity was observed among single students than among married students (12.1 vs. 7.4, p = 0.005), among students at private universities (19.3 vs. 11.6, p = 0.001), and among those with chronic medical or diagnosed mental illness (p < 0.05). No significant differences were found by gender, region, academic level, or dormitory residence (p > 0.05). Regression analysis showed that marital status and university type were significant predictors of insomnia symptom severity. Conclusions: Insomnia is common among EMS students and may have implications for both student well-being and future clinical performance. Addressing sleep health within EMS education may support better academic outcomes and safer healthcare delivery.

Authors

Institutions

Publication Details

Journal
Healthcare
Published
2026-09-28
DOI
https://doi.org/10.3390/healthcare14193193
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Insomnia Severity and Its Demographic and Health-Related Correlates Among Paramedic Students in Saudi Arabia: A Cross-Sectional Study

Abdullah Alruwaili, Ahmed Alobaydullah, Zahra Alabdrabulridha, Moneerah Aljomaan et al.
Healthcare
Sleep and related disorders
article

Insomnia Severity and Its Demographic and Health-Related Correlates Among Paramedic Students in Saudi Arabia: A Cross-Sectional Study

Abdullah Alruwaili, Ahmed Alobaydullah, Zahra Alabdrabulridha, Moneerah Aljomaan, Sara Aljumah
article en

Abstract

Background: Sleep disturbances among healthcare students can negatively affect academic performance and future clinical decision-making. However, limited evidence exists on insomnia among Emergency Medical Services (EMS) students, a group exposed to unique academic and operational stressors. This study assessed insomnia severity and its demographic and health-related correlates among paramedic students in Saudi Arabia. Methods: A cross-sectional study was conducted among 238 EMS students in Saudi Arabia. Insomnia severity was assessed using the Insomnia Severity Index (ISI). Descriptive statistics summarized insomnia levels, and bivariate tests and multiple linear regression were used to examine group differences and predictors in SPSS. Results: The mean ISI score was 11.8 ± 5.3, indicating subthreshold insomnia among paramedic students. Higher insomnia severity was observed among single students than among married students (12.1 vs. 7.4, p = 0.005), among students at private universities (19.3 vs. 11.6, p = 0.001), and among those with chronic medical or diagnosed mental illness (p < 0.05). No significant differences were found by gender, region, academic level, or dormitory residence (p > 0.05). Regression analysis showed that marital status and university type were significant predictors of insomnia symptom severity. Conclusions: Insomnia is common among EMS students and may have implications for both student well-being and future clinical performance. Addressing sleep health within EMS education may support better academic outcomes and safer healthcare delivery.

HealthcareVol. 14(19)
King Saud bin Abdulaziz University for Health Sciences (SA), King Abdullah International Medical Research Center (SA), King Abdulaziz Hospital (SA), National Guard Health Affairs (SA)
Openalex Percentile: Top 7%
Sleep and related disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.