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RecruitingNCT07642999VEETUpdated Jun 11, 2026

Longitudinal Measurements of Visual Diet in Children

An observational study in Myopia, Visual Diet and Pupil, sponsored by State University of New York College of Optometry. Recruiting at 1 site in United States. Open to participants aged 7 Years to 12 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-06-11.

Sponsored by State University of New York College of Optometry · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
60
Ages
7 Years to 12 Years
Sex
All
01

Study summary

Myopia is a leading cause of visual impairment worldwide, with prevalence rising rapidly among children. Growing evidence suggests that environmental and behavioral factors play a dominant role in ocular growth; however, current studies typically isolate single components of the visual environment, such as near work or light intensity, limiting investigators' understanding of how multiple visual stimuli interact within individuals over time. The retina is continuously exposed to a dynamic "visual diet," encompassing viewing distance, illuminance, spectral composition of light, and temporal viewing patterns, as well as associated visuomotor responses such as eye vergence and pupil dynamics. A critical barrier to myopia prevention is the lack of longitudinal, quantitative measurements that integrate these factors in real-world settings during childhood ocular development.

The long-term goal of this project is to prevent myopia onset and slow myopia progression through individualized, patient-centered monitoring and modification of the visual diet. The overall objective of this proposal is to longitudinally characterize visual diet and visuomotor behavior in children and to identify the most influential environmental and physiological factors driving myopia onset and progression. The investigators will conduct a 3-year longitudinal observational study enrolling 60 children aged 7-12 years, including myopic children and non-myopic children stratified by risk of myopia progression.

Read the detailed description

Visual stimulation plays a critical role in guiding eye growth through activity dependent mechanisms. To date, this visual stimulation or visual diet has been investigated by measuring isolated components including near work, light intensity, or wavelength across different individuals. However, this approach does not address how multiple components of the visual diet interact in the visual development of each individual child. Knowledge gap: There is an urgent need for longitudinal measurements from individual children that incorporate multiple components of the visual environment and visual function as the eye grows and develops. This proposal addresses this gap by measuring longitudinally children's visual diet using a combination of techniques that will record these multiple components with VEET (Visual Environment Evaluation Tool, Meta Reality labs), modern eye tracking, refraction, and biometry. The understanding of the interactions between the visual environment and visual function will allow us to develop more effective approaches for myopia prevention and control.

One major reason that visual diets remain under-investigated is the lack of appropriate technology. The investigators propose to use the novel VEET to measure spectral irradiance, illuminance, viewing distance, and head motion. In addition, the investigators propose to use modern wearable eye tracking to quantify visuomotor response during reading. The investigators' long-term goal is to prevent myopia onset and slow myopia progression in children through an individualized, patient-centered approach that monitors and modifies the visual diet. The specific objective of this proposal is to identify what individual features of the visual diet have the strongest impact on myopia development, and provide specific guidelines to monitor and modify them accordingly in an individualized manner.

02

Conditions studied

  • Myopia
  • Visual Diet
  • Pupil
  • Viewing Distance
  • Illuminance
  • Wavelength
  • Vergence
  • Accommodative Facility

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03

In context

Myopia

1,159 studies on the registry are indexed under Myopia; 225 are open to participants now.

This study's planned enrollment of 60 is below the median of 150 across 204 observational studies indexed under Myopia.

Browse Myopia studies →

Lead sponsor

State University of New York College of Optometry is the lead sponsor of 17 studies on the registry; 4 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
7 Years to 12 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Probability sample

Study population

Participants will be selected from the Pediatric Clinic at the College and from the local community.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Age: 7-12 years old (inclusive)
  • Astigmatism of \< 1.50D
  • Stereopsis equal or better 100 seconds of arc
  • Normal binocular functions.

In addition, for the Myopic group:

- Cycloplegic autorefraction (spherical equivalent, SEQ) between -0.50D and -6.00D, who are not currently pursuing nor intending to start myopia control at the time of enrollment.

For the non-myopic group:

- SEQ between plano and +2.50D.

Exclusion criteria

Exclusion Criteria for both groups:

  • History of refractive surgery or myopia control
  • Binocular abnormalities
  • Ocular and systemic pathologies
  • Developmental delay
  • Unable to wear the VEET at home for 8 days every 6 months for 3 years
  • Pre-term birth (\< 34 weeks of gestational age).
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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
60 participants (estimated)
Patient registry
No

Groups and cohorts

  • Myopic group

    Children with myopia

  • Control

    Children without myopia

06

What researchers measure

Primary outcomes

  1. Refractive error (D)

    Measured with an autorefractor

    Time frame: From enrollment to the end of the 3-year study, every 6 months

  2. Axial length (mm)

    Measured with a biometer

    Time frame: From enrollment to the end of the 3-year study, every 6 months

  3. Viewing distance (cm)

    Measured using the Visual Environment Evaluation Tool (VEET). VEET contains multiple time-of-flight (ToF) infrared sensors embedded in the temple arms of the glasses.The sensors emit infrared light toward objects in front of the wearer. The device measures the time required for the reflected infrared light to return to the sensor. Using the speed of light, the system calculates the distance between the eye/glasses and the viewed object.

    Time frame: From enrollment to the end of the 3-year study, every 6 months

  4. Illuminance (lux)

    Measured with the Visual Environment Evaluation Tool (VEET). VEET uses photometric light sensors that detect the light intensity. The sensors convert incoming light into electrical signals proportional to brightness, and the device reports illuminance in lux, the standard unit for light exposure.

    Time frame: From enrollment to the end of the 3-year study, every 6 months

  5. Wavelength of the environmental light (nm)

    Measured with the Visual Environment Evaluation Tool (VEET). The VEET measures light wavelength using integrated spectral light sensors that analyze the composition of incoming light across different portions of the visible spectrum. Rather than only measuring brightness (illuminance), the device also characterizes the spectral distribution of light reaching the wearer.

    Time frame: From enrollment to the end of the 3-year study, every 6 months

  6. Eye vergence (degree)

    Using an eye tracker (Pupil Labs). Pupil Labs eye trackers measure eye vergence by tracking the gaze direction of both eyes separately and then calculating the angle between the two visual axes. Vergence refers to the inward or outward rotation of the eyes when focusing at different viewing distances: Convergence → eyes rotate inward for near targets Divergence → eyes rotate outward for distant targets Pupil Labs estimates vergence using these steps: 1. Track each eye independently 2. Estimate each eye's gaze vector in 3D 3. Compute where the two gaze vectors intersect 4. Calculate the vergence angle between them

    Time frame: From enrollment to the end of the 3-year study, every 6 months

  7. Pupil size (mm)

    Using an eye tracker (Pupil Labs). Eye trackers measure pupil size using infrared video imaging and computer vision algorithms that detect the pupil boundary in images captured by eye-facing cameras. The eye tracker shines infrared (IR) light onto the eye using tiny IR LEDs. Infrared light is invisible to the user and produces stable illumination conditions for imaging the pupil. Small cameras pointed at the eyes continuously record high-speed grayscale images of the eye. The pupil appears darker than surrounding structures when using the "dark pupil" technique commonly used in wearable eye trackers. Finally, computer vision algorithms analyze each frame to locate the pupil region, identify the pupil edge, and fit a geometric shape to detect the pupil size in mm.

    Time frame: From enrollment to the end of the 3-year study, every 6 months

Secondary outcomes

  1. Height (cm)

    Using a stadiometer.

    Time frame: From enrollment to the end of the 3-year study, every 6 months

  2. Arm length (cm)

    Measured using a tape measure.

    Time frame: From enrollment to the end of the 3-year study, every 6 months

  3. Accommodative facility

    Using +/- 2.00 D flippers

    Time frame: From enrollment to the end of the 3-year study, every 6 months

07

Study locations

1 of 1 sites recruiting
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Start is estimated for Jun 2026; primary completion for Jun 2031, 60 months later.

Of 87 non-industry observational studies under Myopia, half reached primary completion within 26 months of starting (the median), counting those still running; a quarter within 11 and three quarters within 90. This study's planned 60 months is above that.

Counting every sponsor, half of 96 studies reached it within 24 months; a quarter within 10 and three quarters within 59.

How these figures are worked out, and which studies are left out of them.

Registered
Jun 4, 2026
First posted
Jun 11, 2026
StartEst.
Jun 8, 2026
Primary completionEst.
Jun 2031
CompletionEst.
Jun 2031
Last update
Jun 11, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jun 11, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07642999
Lead sponsor
State University of New York College of Optometry
Responsible party
Xiaoying Zhu, OD, PhD, MD, MS, FAAO (Associate Clinical Professor, State University of New York College of Optometry) — Principal investigator
First posted
Jun 11, 2026
Start date
Jun 8, 2026 (estimated)
Primary completion
Jun 2031 (estimated)
Completion
Jun 2031 (estimated)
Last update
Jun 11, 2026

Study contacts

Xiaoying Zhu, OD, PhD, MD, MS, FAAO
Contact
xzhu@sunyopt.edu
212-838-5541
Jingyun Wang, PhD, FAAO
Contact
jwang@sunyopt.edu
212-938-5759
Xiaoying Zhu, OD, PhD, MD, MS, FAAO
principal investigator · State University of New York College of Optometry

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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