Risk Factors Among Nursing Students Regarding Computer Vision Syndrome

NCT ID: NCT06660316

Last Updated: 2024-10-29

Basic Information

• Recruitment Status: NOT_YET_RECRUITING
• Total Enrollment: 196 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2024-11-30
• Study Completion Date: 2025-01-31

Brief Summary

This study aims to evaluate the prevalence of computer vision syndrome and its associated risk factors among nursing students.

Detailed Description

In the early days of technology, personal computers revolutionized the workplace, becoming a go-to tool for boosting productivity. Today, computers are not just a staple in offices-they're in nearly every home, college, and university. With this widespread use, however, comes an unexpected side effect: a growing number of people are grappling with Computer Vision Syndrome (CVS).

Imagine this: A student, spending hours in front of a screen, finishing assignments and studying for exams. The longer the screen time, the greater the chance that eye strain, dryness, and headaches will follow. Research has shown that anyone who spends over four continuous hours staring at a screen faces an increased risk of developing CVS.

The setup matters too. A poorly positioned monitor, bad lighting, or awkward posture can make matters worse. It's not just about how long you're looking at the screen-*how* you do it plays a crucial role. Correcting the distance between you and the screen, adjusting your posture, and working in an ergonomically-friendly environment can reduce the strain on your eyes and body.

Underlying eye conditions like uncorrected refractive errors or dry eye disease can also make individuals more vulnerable to CVS. Even the type of light emitted from our screens-especially blue light-can cause discomfort. For some, it's a nagging glare; for others, it's a disrupted sleep cycle that throws off their entire rhythm.

It's surprising how just a few hours of daily computer use can lead to noticeable health problems. Computers, now indispensable to our daily routines, also bring with them the risk of significant eye discomfort. Some, for instance, experience convergence insufficiency-a condition marked by eye strain, blurred vision, headaches, and neck or shoulder pain. As screen time increases, these symptoms become more pronounced. Estimates suggest that CVS affects anywhere from 64% to 90% of computer users, with around 60 million cases globally each year, and the numbers are only climbing.

In response, the American Optometric Association offers some simple solutions. One of their key recommendations is the "20-20-20 rule": every 20 minutes, take a 20-second break to look at something 20 feet away. Small changes like using glare-reducing filters can also help, although their effectiveness varies from person to person. Specialized eyewear, like blue-light blocking lenses, has shown promise in minimizing CVS symptoms.

CVS is a complex issue in our increasingly digital world. Although there's a general agreement on the major risk factors, more research is needed to fully understand the long-term impacts and what interventions work best. But in the meantime, simple actions-like making ergonomic adjustments, taking regular breaks, and investing in protective eyewear-can make a big difference. As our reliance on digital devices grows, so does the need for greater awareness and preventive measures to protect our eyes and maintain our overall well-being.

Conditions

Computer Vision Syndrome

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: CROSS_SECTIONAL

Study Groups

Nursing Students - Computer Vision Syndrome Prevalence

No interventions assigned to this group

Eligibility Criteria

Inclusion Criteria

• Nursing Student in Collegue of Nursing - Jouf University

Exclusion Criteria

-

• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Cairo University

OTHER

Sponsor Role: lead

Responsible Party

Mohammed Elsayed Zaky

Principal Investigator

Responsibility Role: PRINCIPAL_INVESTIGATOR

Central Contacts

Mohammed Elsayed Zaky

Role: CONTACT

Mohammed.Zaky@cu.edu.eg

01000553254

References

Mrayyan MT, Alseid ARH, Ghoolah TS, Al-Shaikh Ali MH, Mrayan M. Investigating the Prevalence of Computer Vision Syndrome (CVS) Among Undergraduate Nursing Students: A Cross-Sectional Study. SAGE Open Nurs. 2023 Aug 2;9:23779608231191883. doi: 10.1177/23779608231191883. eCollection 2023 Jan-Dec.

Reference Type: BACKGROUND

PMID: 37546525 (View on PubMed)

AlDarrab A, Khojah AA, Al-Ghazwi MH, Al-Haqbani YJ, Al-Qahtani NM, Al-Ajmi MN, Alenezi SH, Almasoud MK, Al-Yahya AF. Magnitude and Determinants of Computer Vision Syndrome among College Students at a Saudi University. Middle East Afr J Ophthalmol. 2022 Apr 30;28(4):252-256. doi: 10.4103/meajo.meajo_272_21. eCollection 2021 Oct-Dec.

Reference Type: BACKGROUND

PMID: 35719284 (View on PubMed)

Other Identifiers

computer vision syndrome

Identifier Type: -

Identifier Source: org_study_id