Prospects for Using Computer Accommodography to Predict Myopia Development in Young Adults.

Area of Science:

• Ophthalmology
• Optometry
• Visual Science

Background:

• Accommodative and refractive errors affect 23% of the global population, with their diagnostic value requiring further study.
• Computer accommodation methods offer objective parameters for assessing visual function.
• Myopia is a prevalent refractive error, necessitating early detection and risk assessment.

Purpose of the Study:

• To investigate objective parameters of accommodative insufficiency in young adults.
• To compare accommodative parameters between myopic and non-myopic university students.
• To establish normal ranges for key accommodation metrics in a non-myopic population.

Main Methods:

• A cross-sectional study involving 116 university students aged 21-23.
• Objective measurement of accommodative parameters including accommodative response coefficient (ARC), deviation of ARC (σARC), accommodogram growth coefficient (AGC), coefficient of microfluctuations (CMF), and deviation of CMF (σCMF).
• Definition of normal ranges using 10th and 90th percentile values for non-myopic participants.

Main Results:

• Normal ranges for accommodation parameters were established: ARC (-0.17 to -0.38 c.u.), σARC (0.08 to 0.41 c.u.), AGC (0.0 to 0.43 c.u.), CMF (54.26 to 58.55 mcf/min), and σCMF (2.58 to 5.26 c.u.).
• Computer visual syndrome was prevalent (40.9%) in non-myopic participants, alongside eye strain (11.9%), accommodation cramp (4.5%), and minimal accommodative response (3.6%).
• Computer accommodation assessment identified young individuals without myopia but at increased risk.

Conclusions:

• Computer accommodation assessment is a valuable tool for detecting subclinical accommodative dysfunction.
• Objective parameters can identify young adults at higher risk of developing myopia.
• Establishing normative data is crucial for interpreting accommodative function in clinical settings.