Evidence map›Paper›PMID 37035514›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2023

Prevalence of Dry Eye Disease Among Medical Students and Its Association with Sleep Habits, Use of Electronic Devices and Caffeine Consumption: A Cross-Sectional Questionnaire.

Luai Abu-Ismail, Mohammad T Abuawwad, Mohammad J Taha, Almu'atasim Khamees, Dima Y Abu Ismail, Mohammad Sanwar, Yaqeen Al-Bustanji, Abdulqadir Nashwan, Omran Hamdan Alameri, Hamzeh Mohammad Alrawashdeh and 2 more

Open access · goldAbstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Caffeine and Vision: Effects on the Eye.Turkish journal of ophthalmology · 2024
    Review
  4. Article
  5. Article
4 · The record

Corrections and comments

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

12 authors at 10 institutions in 3 countries.

Luai Abu-IsmailDepartment of Ophthalmology, Islamic Hospital, Amman, Jordan.ORCID 0000-0003-4971-7339
Mohammad T AbuawwadDepartment of Clinical Medicine, Cairo University, Cairo, Egypt.ORCID 0000-0002-2703-0942
Mohammad J TahaDepartment of Clinical Medicine, Cairo University, Cairo, Egypt.
Almu'atasim KhameesDepartment of General Surgery, King Hussein Cancer Center, Amman, Jordan.ORCID 0000-0002-6282-8351
Dima Y Abu IsmailDepartment of Clinical Medical Sciences, Faculty of Medicine, Hashemite University, Zarqa, Jordan.ORCID 0000-0003-4706-5074
Mohammad SanwarDepartment of Medicine, Jordan University Hospital, Amman, Jordan.
Yaqeen Al-BustanjiDepartment of Clinical Medicine, School of Medicine, The University of Jordan, Amman, Jordan.
Abdulqadir NashwanDepartment of Nursing Education and Research, Hamad Medical Corporation, Doha, Qatar.ORCID 0000-0003-4845-4119
Omran Hamdan AlameriDepartment of Pathology and Public Health, Faculty of Veterinary Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Hamzeh Mohammad AlrawashdehSharif Eye Centers, Irbid, Jordan.
Hashem Abu SerhanDepartment of Ophthalmology, Hamad Medical Corporation, Doha, Qatar.ORCID 0000-0002-2953-2188
Jocob Abu-IsmailDepartment of Ophthalmology, Specialty Hospital, Amman, Jordan.
Cairo University · EGHamad Medical Corporation · QAHashemite University · JOIslamic Hospital · JOJordan Hospital · JOJordan University of Science and Technology · JOKing Hussein Cancer Center · JOMédecins Sans Frontières · JOSpecialty Hospital, Jordan · JOUniversity of Jordan · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dry eye disease (DED) is a common and multifactorial disease of the ocular surface which causes visual disturbance and feelings of discomfort among patients. The prevalence rate among medical students is an important issue to consider. This study investigates the relationship between caffeine consumption, sleeping habits, use of electronic devices, and DED among a convenient sample of medical students in Jordan. Methods: This cross-sectional online survey enrolled medical students from all six medical schools in Jordan. The questionnaire, which was shared via social media platforms, assessed socio-demographics, caffeine consumption amounts and patterns, sleep quality, and the use of electronic devices and their relation to ocular discomfort, DED, and related symptoms. The ocular surface disease index (OSDI) questionnaire was also administered to quantify the symptoms of DED. Results: A total of 1223 students participated in this study (RR=24.46%); 64% were females, and 43% were in their clinical placement years. Of the participants, 317 (25.92%) had normal eyes, and 906 (74.08%) had symptomatic DED. Of the students, 1206 (98.6%) used electronic devices directly before bed, and only 399 (32.62%) used blue-light-protective glasses. Lower DED risk was linked to male gender (OR=0.535, 95% CI 0.392-0.73, p <0.01), clinical years of medical school (OR=0.564, 95% CI 0.424-0.75, p<0.01). Poor sleep quality corresponded to more incidence of DED, regardless of sleeping for 5-6 hours (OR=3.046, 95% CI 1.299-7.139, p=0.01) or for less than 5 hours (OR=3.942, 95% CI 1.824-8.519, p<0.01). Also, caffeine consumption only marginally affected its incidence, but the results were statistically insignificant. Conclusion: Female gender, basic science years, and spending more than 6 hours looking at screens were significantly associated with symptomatic DED. Caffeine consumption did not pose any significant risk to the incidence of DED.

Indexed as

caffeinedry eyemedical studentsscreen exposuresleep quality

Identifiers

PMID37035514
PMCPMC10081668
OpenAlexW4362510141

What OpenQuestion holds

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Registered trials

None linked

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.