MyopiaVEETNCT07642999
Longitudinal Measurements of Visual Diet in Children
An observational study of Myopia and Visual Diet, run by State University of New York College of Optometry at 1 site in United States.
Trial 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… Read more about this study
- Who is it for?
- Ages 7 to 12 yearsHealthy volunteers can take part
- Conditions the study is for
- Myopia, Visual Diet, Pupil
- How many people
- 60 participants
- Where
- 1 siteUnited States
- Study dates
- 8 Jun 2026to Jun 2031
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 7 to 12 years
- All sexes
- Healthy volunteers accepted
- Child
Study population: Participants will be selected from the Pediatric Clinic at the College and from the local community.
Who may be able to join
- 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.
Who cannot join
- 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).
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United States1 site, 1 recruiting
- Recruiting
SUNY College of Optometry
New York, New York, 10036
Xiaoying Zhu, 212-838-5541, xzhu@sunyopt.edu
About this study
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.
- Conditions
- Myopia, Visual Diet, Pupil, Viewing Distance, Illuminance, Wavelength
- Medical subject headings
- Myopia
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Myopic group | Children with myopia | |
| Control | Children without myopia |
What is being measured
The primary outcome is the main question the study is designed to answer.
Refractive error (D)
Measured with an autorefractor
Measured: From enrollment to the end of the 3-year study, every 6 months
Axial length (mm)
Measured with a biometer
Measured: From enrollment to the end of the 3-year study, every 6 months
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.
Measured: From enrollment to the end of the 3-year study, every 6 months
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.
Measured: From enrollment to the end of the 3-year study, every 6 months
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.
Measured: From enrollment to the end of the 3-year study, every 6 months
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:
- Track each eye independently
- Estimate each eye's gaze vector in 3D
- Compute where the two gaze vectors intersect
- Calculate the vergence angle between them
Measured: From enrollment to the end of the 3-year study, every 6 months
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.
Measured: From enrollment to the end of the 3-year study, every 6 months
Secondary outcomes (3)
Height (cm)
Using a stadiometer.
Measured: From enrollment to the end of the 3-year study, every 6 months
Arm length (cm)
Measured using a tape measure.
Measured: From enrollment to the end of the 3-year study, every 6 months
Accommodative facility
Using +/- 2.00 D flippers
Measured: From enrollment to the end of the 3-year study, every 6 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted11 Jun 2026
- Study start8 Jun 2026 (estimated)
- Primary completionJun 2031 (estimated)
- Study completionJun 2031 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for MyopiaStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 60 participants (estimated)
Sponsor and investigators
- Lead sponsor
- State University of New York College of Optometry
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Xiaoying Zhu, OD, PhD, MD, MS, FAAO, State University of New York College of Optometry
- Investigators
- Xiaoying Zhu, OD, PhD, MD, MS, FAAO, Principal investigator, State University of New York College of Optometry
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07642999
- Sponsor's protocol ID
- IRBNET ID 2300010
- Other IDs
- Pending
- Acronym
- VEET
- Status last verified
- Jun 2026
- First submitted
- 4 Jun 2026
- Last updated
- 11 Jun 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 11 Jun 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Longitudinal Measurements of Visual Diet in Children
- ClinicalTrials.gov ID
- NCT07642999
- Acronym / sponsor ID
- VEET / IRBNET ID 2300010
- Conditions
- Myopia, Visual Diet, Pupil, Viewing Distance, Illuminance, Wavelength
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 60 participants (estimated)
- Lead sponsor
- State University of New York College of OptometryUniversity, hospital or other
- Study start
- 8 Jun 2026 (estimated)
- Primary completion
- Jun 2031 (estimated)
- Study completion
- Jun 2031 (estimated)
- First posted
- 11 Jun 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Myopic group | – | –Children with myopia |
| Control | – | –Children without myopia |
Who may qualify
- Ages
- 7 to 12 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child
- Study population
- Participants will be selected from the Pediatric Clinic at the College and from the local community.
Key inclusion criteria (8 listed)
- Age: 7-12 years old (inclusive)
- Astigmatism of < 1.50D
- Stereopsis equal or better 100 seconds of arc
- Normal binocular functions.
- 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.
Key exclusion criteria (6 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Refractive error (D)
Time frame: From enrollment to the end of the 3-year study, every 6 months
Measured with an autorefractor
Axial length (mm)
Time frame: From enrollment to the end of the 3-year study, every 6 months
Measured with a biometer
Viewing distance (cm)
Time frame: From enrollment to the end of the 3-year study, every 6 months
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.
Illuminance (lux)
Time frame: From enrollment to the end of the 3-year study, every 6 months
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.
Wavelength of the environmental light (nm)
Time frame: From enrollment to the end of the 3-year study, every 6 months
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.
Eye vergence (degree)
Time frame: From enrollment to the end of the 3-year study, every 6 months
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
Pupil size (mm)
Time frame: From enrollment to the end of the 3-year study, every 6 months
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.
3 secondary outcomes
Height (cm)
Time frame: From enrollment to the end of the 3-year study, every 6 months
Arm length (cm)
Time frame: From enrollment to the end of the 3-year study, every 6 months
Accommodative facility
Time frame: From enrollment to the end of the 3-year study, every 6 months
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 11 Jun 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Xiaoying Zhu, OD, PhD, MD, MS, FAAO principal investigator
State University of New York College of Optometry
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Myopia and Visual Diet, run by State University of New York College of Optometry at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 8 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 11 Jun 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Xiaoying Zhu, OD, PhD, MD, MS, FAAO (212-838-5541, xzhu@sunyopt.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Refractive error (D) (time frame: From enrollment to the end of the 3-year study, every 6 months). The study lists 7 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 11 Jun 2026.