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Research Article

Association of myopia with screen time use in pediatric patients in a tertiary hospital in Saudi Arabia

[version 1; peer review: 3 approved with reservations]
PUBLISHED 30 Jan 2025
Author details Author details
OPEN PEER REVIEW
REVIEWER STATUS

This article is included in the Eye Health gateway.

Abstract

Background

Pediatric myopia is a growing global public health concern, exacerbated by the increasing screen time among children, who spend more time on devices for both entertainment and education. Understanding the link between myopia and screen media use is crucial for promoting children’s long-term eye health and mitigating the burden of myopia.

Methods

The study was a retrospective study design that investigated 94 complete medical records of myopic patients who had attended pediatric ophthalmology clinic at King Fahad University Hospital (KFUH) in Saudi Arabia between November 2021 and November 2023. Data was cleaned, coded and analyzed using SPSS version 20 to obtain important insights.

Results

The results revealed a statistically significant difference in total screen time between age groups (4–6 years, 7–9 years, and 10–12 years), with a p-value of 0.021. The most commonly used screen media devices among myopic children were smartphones (98.9%) and laptops (87.2%). Regression analysis indicated that the differences in screen time based on the children’s age at first use of screen media devices (smartphones, tablets, and laptops) were not statistically significant (p =0.196). Additionally, the study found a statistically significant association between patients’ age, the age at which they were first diagnosed with myopia, and their myopia category (p = 0.030 and p = 0.005, respectively).

Conclusion

The study established a significant association between myopia and screen use in pediatric patients, with total screen time increasing significantly with age. Smartphones and laptops were the most commonly used devices among myopic children. These findings highlight the need to understand the relationship between myopia and screen time in order to develop evidence-based guidelines for managing screen time, protecting children from the adverse effects of screen media exposure, and promoting their eye health and overall well-being.

Keywords

Pediatrics, myopia, smartphone, public health, ophthalmology, screen time, Saudi Arabia, King Fahd University Hospital

Introduction and Literature review

Myopia, commonly known as nearsightedness, is a major cause of visual disability.1 The prevalence of myopia is increasing worldwide, especially in urbanized countries, where children are less likely to spend time outdoors.2 By 2050, it is predicted that myopia would affect half of the population.3 The estimated prevalence of refractive error in Saudi children was around 17.5%, out of which myopia prevalence was 40.8%.4 In addition to the disease burden of myopia it also hinders academic performance of children, in two large scale studies in China,5,6 it was concluded that the correction of myopia was linked with significant improvements in the academic performance of children.

Myopia is caused by an increase in axial length of the eyeball, resulting in refractive error. In normal eyes, the image of distant objects is focused on photoreceptors in the retina, and the image of near objects is focused behind the photoreceptors, but it is corrected by the lens accommodation. While in myopic eyes the image of a distant object is focused in front of the photoreceptors and cannot be corrected even with the accommodation of the lens.1

Myopia in childhood is the result of complex processes, one of them is emmetropisation, where refractive components of the eye balance each other to reach normal vision. As children are born hyperopic, correction occurs with growth when the eyeball elongates until it reaches normal vision.7 Myopia develops when the elongation continues instead of stabilizing. The lens power also changes in childhood, to prevent the possible myopic shift caused by emmetropisation, but the decrease in lens power can continue, therefore causing myopia.7

Several genetic and environmental risk factors have been strongly associated with the development of myopia, including outdoor activities, near work and family history.8 Numerous studies have reported that children who spend more time outdoors and read at a proper distance of more than thirty centimeters for a period of less than thirty minutes, have a lower risk of developing myopia in comparison to those who do not.9,10 Moreover, children of myopic parents are at a greater risk of being myopic as a study by Pan et al. 2012, has shown that the risk of myopia development increases two times if a child has one myopic parent.8

The rise in digital use and concurrent eye complaints, such as eye strain and dry eye syndrome, have provoked investigations for the underlying pathogenesis and possible correlation.11 Although there is insufficient evidence on the correlation of artificial light exposure with different eye conditions, several studies conducted on animals have explored the impact of light on the eyes.1214 The studies have concluded that light can damage the retina via three different mechanisms, photochemical, photo-thermal and photomechanical. Photochemical damage is associated with an oxidative process that results from exposure to light while photomechanical damage is dependent on the amount of energy. Photo-thermal damage occurs with high intensity light that raises the temperature of the tissues, subsequently causing damage. In addition, exposure to light is not only associated with physiological changes in the ocular surfaces but also found to have an effect on the circadian rhythm.15

A systematic review and meta-analysis study by Foreman et al. 2021, was done to review the literature on the relationship between digital screen time and myopia through the appraisal of thirty-three existent literature. The study results concluded that smartphones alone, or with computer screen time, can be linked to a greater risk of developing myopia.16 Moreover, another study was conducted in Spain by Alvarez et al. to assess the connection between screen and outdoor time and myopia rates among children. A thorough examination of the vision of 7,497 children between the ages of five and seven was done during the “Annual School Campaign for Children’s Visual Health” which was associated with children’s lifestyle, considering hours per day spent on digital devices and daily outdoor time. The results concluded that children with myopia reported more screen time and less outdoor time.17

In another meta-analysis study from 2020, which included 14 studies, the total of participants was 27,110 ranging in age from 9.5 to 26.0 years. The aim was to evaluate whether using smartphones excessively causes visual impairments, the cross-sectional studies yielded a pooled odds ratio (OR) of 1.05, which indicates that excessive smartphone use is not extensively linked to myopia or blurred vision, but these ophthalmologic problems were more evident in children (OR 1.06) than in young adults (OR 0.91).18 In addition, a different meta-analysis study from the same year was done to determine the association between screen time and the risk of developing myopia in children. The results were mixed, but notably the more recent included studies showed an association trend.19

There are two recent Saudi studies published in 2023, one done in the city of Bisha reported the prevalence of myopia to be around 32.7% among schoolchildren,20 while another one done in Jeddah found it to be 40.7% in children below the age of 14 years old.21 In that study, the use of electronic devices was not a statistically significant risk factor, while the presence of family history in a first degree relative was associated with increased risk of myopia.

Studies on myopia risk factors have been conducted, however in the last decade, myopia cases have increased steadily, along with the widespread use of electronic devices which led us to investigate if there is a link between them. The lack of solid and conclusive data regarding the correlation between children’s continuous usage of digital devices and the development of myopia in Saudi Arabia led us to build this project. The purpose of our study is to study the connection between the prolonged use of screen time and development of myopia in children between the ages of 4 and 12 in Saudi Arabia.

Purpose

To study the connection between the prolonged use of screen time and development of myopia in children between the ages of 4 and 12 in Saudi Arabia.

Methods

Subjects

This is a retrospective case-control survey-based study, the duration of which was six months starting from November 2023 and ending in April 2024. A validated questionnaire from previous literature was used, the questionnaire was developed and validated by members of the center for Research in Childhood Health and Research unit for Exercise Epidemiology at the University of Southern Denmark, and media experts. It was tested on different samples and evaluated for validity and reliability.22 The questionnaire measures the screen time which children spent in front of electronic screens, the number and type of electronic devices in the household, frequency of use by the child, type and purpose of device usually used, if smart screens are used at school, and the age at which the device was first introduced. The questionnaire is originally in the English language and was translated into Arabic by the research team following translation guidelines.23 The Arabic questionnaire was validated using test-retest technique. Sample size was calculated to be 228, using the online epidemiological calculator Epitools,24 with the expected proportion in controls being 0.05, and the assumed odds ratio 3.7, based on a study that found prolonged near work in school children to be significantly associated with myopia,25 considering that screen use is near work. Confidence level was set at 95% and the desired power was 0.8. The total number of cases was 94 and the number of controls was 146.

Data collection

Data for the pediatric patients with myopia was collected from the patients’ medical records in King Fahad Hospital of the university (KFHU) in Khobar, Saudi Arabia, and then the patients’ guardians were contacted to administer the questionnaire over the phone. Myopia diagnosis was established following a comprehensive eye assessment including, visual acuity test using Snellen chart, measuring the refractive error in Diopter with an autorefractor and performing a fundoscopic examination to assess the ocular structures.26 The patients’ degree of myopia was taken from the electronic medical records. And for the control subjects the questionnaire was sent along with informed consent using a QuestionpPro link.27 The duration of the study was six months.

Sampling technique: non-probability sampling.

This study was approved by the Imam Abdulrahman bin Faisal University Institutional Review Board (IRB) committee, IRB number (IRB-UGS-2023-01-486).

Inclusion criteria

Patients eligible for inclusion are those aged above 4 years old, and below 12 years old, of both genders, who followed up in the pediatric ophthalmology clinic in KFUH, between November 2021 and November 2023. Only children diagnosed with myopia, with spherical equivalent refraction (SER) ≤ –0.50 D, within specified age range are included.

Exclusion criteria

Patients are excluded if they are below 4 years old or above 12 years old, have guardians who are unreachable or unable to answer the questionnaire, or have incomplete medical records. Additionally, children with eye conditions other than myopia, such as pathological myopia, strabismus, hyperopia, glaucoma, or systemics disorders with ophthalmologic manifestations (e.g., diabetes mellitus, trisomy 21, any genetic disorders), are excluded. However, patients with astigmatism are not excluded.

Variables

The independent variables in this study include screen time, types of electronic devices used, age at device introduction, the number and presence of devices in the household, the frequency of device usage, and the use of smart devices for educational purposes. The dependent variable is the degree of myopia, measured as the spherical equivalent refraction (SER). Controlled variables include age, with patients below 4 years or above 12 years excluded, as well as the exclusion of cases with pathological myopia and strabismus to minimize confounding factors.

Materials

The study included patients aged above 4 years and below 12 years who were followed up in the pediatric ophthalmology clinic at KFUH between November 2021 and November 2023, along with a control group of children in the same age range who were free of myopia. Data was collected using a Microsoft Excel sheet, with questionnaires completed through the QuestionPro tool.27 Analysis was performed using the Statistical Package for Social Sciences (SPSS) for Windows, Version 26.28 Written informed consent was obtained from all guardians after they were briefed on the study’s goals and assured of the confidentiality of their personal information. The study received Institutional Review Board (IRB) approval from Imam Abdulrahman bin Faisal University’s IRB committee on November 12, 2023, under the number IRB-UGS-2023-01-486.

Procedures

1. Select Questionnaire (SCREENS-Q)

  • Choose SCREENS-Q22 validated questionnaire for screen use habits of children (answered by parent/guardian).

2. Modify & Translate Questionnaire

  • Modify and translate SCREENS-Q into Arabic.

3. Review Translation Accuracy

  • Pilot-test on 10 individuals from the study field to review translation accuracy and reliability.

4. Extract Medical Records

  • Retrieve medical record numbers of pediatric patients (ages 4-12) who visited the KFHU outpatient ophthalmology clinic between Nov 2021 – Nov 2023.

5. Review Medical Records for Myopia Diagnosis

  • Check for diagnosis of myopia with spherical equivalent refraction (SER) ≤ -0.50 D.

6. Exclude Specific Cases

  • Exclude patients with other ophthalmologic conditions or systemic diseases (e.g., diabetes, trisomy 21, nystagmus, strabismus, pathological myopia), except for astigmatism.

7. Retrieve Relevant Data

  • Retrieve data from medical records (demographic data, presence of astigmatism, family history of myopia, refractive error values).

8. Group Patients Based on Myopia Degree

  • Categorize patients into 3 groups based on myopia degree:

  • Low (−0.50 D to −3.00 D)

  • Moderate (−3.00 D to −6.00 D)

  • High (>−6.00 D)

9. Retrieve Contact Info for Guardians

  • Gather contact details for the patients’ parent/guardian.

10. Contact Parents/Guardians

  • Call guardian, explain study purpose and importance related to screen time and myopia.

11. Obtain Consent

  • Obtain informed consent from the guardian for participation.

12. Administer Questionnaire

  • Administer the translated SCREENS-Q questionnaire to the parent/guardian.

13. Exclusion If Consent Refused

  • If the guardian refuses participation, exclude patient from the study.

14. Enter Data into QuestionPro

  • Fill in patient information and questionnaire responses in QuestionPro form.

15. Find Control Group

  • Identify and recruit a control group.

  • Obtain consent from control group guardians and administer the questionnaire.

16. Data Analysis

  • Analyze the collected data statistically to investigate relationships between screen time and myopia.

Data analysis

The data was organized through a data collection sheet in Microsoft Excel, and the questionnaire was filled through the free essentials license from the survey tool QuestionPro.27

Statistical analysis

The data was analyzed using Statistical Package for Social Sciences (SPSS) for Windows, version 26.28 Descriptive statistics were used to determine the demographic data. All statistical methods used were two-tailed with an alpha level of 0.05 considering significance if P value less than or equal to 0.05. Descriptive analysis was done by prescribing frequency distribution and percentage for study variables including children demographic data, myopia, screen use and parents concern. All correlations were done based on Pearson’s Chi-square test and Fisher’s exact test for small frequency distributions. Association of excessive screen time with various grades of myopia would be done by using chi-square test. Graphs were initiated using Microsoft Excel software.

Results

The study included complete records of 94 myopic patients and 146 controls, shown in Table 1, aged 4 to 12 years, of both genders. In the myopic group, the mean age was 8.21 ± 2.37 years, with a notable proportion (38 patients, 40.4%) aged 7–9 years. The majority of patients were female (55, 58.5%), and more than half were Saudi nationals (68, 72.3%). A significant proportion had a family history of myopia (81, 86.2%), and nearly half (45, 47.9%) spent more than one hour outdoors each day.

Table 1. Demographic characteristics.

VariablesMyopic groupControl groupP-value
Categoryn (%)Categoriesn (%)
GenderMale39 (41.5%)Male78 (53.4%)0.339
Female55 (58.5%)Female68 (46.6%)
Age4-6 years26 (27.7%)4-6 years45 (30.8%)0.161
7-9 years38 (40.4%)7-9 years40 (27.4%)
10-12 years30 (31.9%)10-12 years61 (41.8%)
Age (Mean ± SD)(Mean ± SD) 8.21 ± 2.373(Mean ± SD) 8.38 ± 2.8270.135
NationalitySaudi68 (72.3%)Saudi143 (97.9%)0.475
Non-Saudi 26 (27.7%)Non-Saudi 3 (2.1%)
Family history of myopiaYes81 (86.2%)Yes92 (63.0%)0.815
No13 (13.8%)No54 (37.0%)
Time spent outside the house<30 minutes26 (27.7%)<30 minutes25 (17.1%)0.075
<1 hour23 (24.4%)<1 hour42 (28.8%)
>1 hour45 (47.9%)>1 hour79 (54.1%)

* Significant at p<0.05 level.

In the control group, the mean age was 8.38 ± 2.83 years, with a substantial proportion (61 controls, 41.8%) aged 10–12 years. Most controls were male (78, 53.4%), and the vast majority were Saudi nationals (143, 97.9%). A considerable proportion had a family history of myopia (92, 63.0%), and more than half (79, 54.1%) spent over one hour outdoors each day.

Figure 1 illustrates the distribution of myopia categories among the patients. The results showed that the majority of patients had mild myopia (54 patients, 57.5%), followed by moderate myopia (33 patients, 35.1%), and the least number had high myopia (7 patients, 7.4%)

ba311105-c568-4d51-a5eb-0c2f03ddac0b_figure1.gif

Figure 1. The number of screen media devices present in the household where the child lived among the Myopic and Control groups.

Figure 2 shows the age distribution of patients at the time of their first myopia diagnosis. The results revealed that most of the patients were first diagnosed with myopia aged 4–6 years (38 patients, 40.4%), followed by those aged 7–9 years (26 patients, 27.7%), 10–12 years (17 patients, 18.1%), and the smallest group was those aged under 4 years (13 patients, 13.8%).

ba311105-c568-4d51-a5eb-0c2f03ddac0b_figure2.gif

Figure 2. Child age when first diagnosed with myopia.

The most commonly used screen media devices among myopic children were smartphones (98.9%) and laptops (87.2%), while in the control group, the most commonly used devices were television (95.9%) and smartphones (94.5%). The results revealed a statistically significant association between the ownership of screen media devices, bringing devices to school, and myopia, with p-values of <0.001. A considerable proportion of children in the myopic group owned a smartphone (54, 57.4%), a laptop (22, 23.4%) and an e-reader (9, 9.6%), compared to the control group. Additionally, more proportion of children in the myopic group brought a tablet/iPad to school on a daily or weekly basis (5.3%) than in the control group (3.4%). Other attributes were not statistically significant across the true groups.

Figure 3 shows the types and numbers of screen media devices present in the households where the children lived. It reveals that a higher proportion of smartphones and laptops were found in the myopic group than in the control group

ba311105-c568-4d51-a5eb-0c2f03ddac0b_figure3.gif

Figure 3. The number of screen media devices present in the household where the child lived among the Myopic and Control groups.

Figure 4 shows the frequency of screen media device usage by children in households over the past month. The results indicate a higher frequency of device use among children in the control group compared to those in the myopic group, with television and smartphones being the most commonly used devices.

ba311105-c568-4d51-a5eb-0c2f03ddac0b_figure4.gif

Figure 4. The frequency of use of screen media devices by the child in the household in the past month with respect to the Myopic and Control groups.

Figure 5 shows children’s ownership of screen media devices. The findings revealed that most smartphones, laptops, and e-readers were owned by children in the myopic group (p<0.001), while most televisions, tablets/iPads and both handheld and non-handheld gaming consoles were owned by children in the control group.

ba311105-c568-4d51-a5eb-0c2f03ddac0b_figure5.gif

Figure 5. Children’s ownership of screen media devices among the myopic and control group.

Table 3 shows the distribution of time spent on screen-based activities per day by children in the myopic and control groups over the past month. The study found no significant difference in the amount of time spent on screen-based activities during weekdays and weekends between the myopic and control groups

Table 2. Frequency distribution of the type, number and use of screen media device across myopic and control groups.

How many of the following screen media devices are present in the household where the child lives? P-value
Type of devicesMyopic Control
/No012345 or more01234 5 or more
Laptop9 (9.6%)34 (36.2%)23 (24.5%)11 (11.7%)12 (12.8%)5 (5.3%)19 (13%)41 (28.1%)33 (22.6%)20 (13.7%)14 (9.6%)19 (13.0%)0.699
Desktop67 (71.3%)19 (20.2%)4 (4.3%)3 (3.2%)1 (1.1%)-82(56.2%)47 (32.2%)10 (6.8%)5 (3.4%)1 (0.7%)1 (0.7%)
Tablet/ipad18 (19.1%)37 (39.4%)19 (20.2%)9 (9.6%)6 (6.4%)5 (5.3%)25(17.2%)51 (34.9%)37 (25.3%)20 (13.7%)10 (6.8%)3 (2.1%)
Smartphone1 (1.1%)1 (1.1%)11 (11.7%)24 (25.5%)20 (21.3%)37 (39.4%)8 (5.5%)17 (11.6%)17 (11.6%)18 (12.3%)18 (12.3%)68 (46.6%)
Television4 (4.3%)33 (35.1%)37 (39.4%)12 (12.8%)4 (4.3%)4 (4.3%)6 (4.1%)54 (37.0%)34 (23.3%)33 (22.6%)14 (9.6%)5 (3.4%)
Non-handheld gaming console33 (35.1%)53 (56.4%)7 (7.4%)1 (1.1%)--34(23.3%)73 (50.0%)26 (17.8%)8 (5.5%)3 (2.1%)2 (1.4%)
Handheld gaming console83 (88.3%)8 (8.5%)3 (3.2%)---95 (65.1%)42 (28.8%)7 (4.8%)-1 (0.7%)1 (0.7%)
E-reader 85 (90.4%)9 (9.6%)----132(90.4%)11 (7.5%)1 (0.7%)1 (0.7%)1 (0.7%)-
Others69 (73.4%)25 (26.6%)----134(91.8%)5 (3.4%)3 (2.1%)4 (2.7%)--
How often has the child used the following screen media devices in the household within the past month? P-value
Type of devicesMyopic Control
/NoNever<12-33-44-5Every dayNever<12-33-44-5 Every day
Laptop47 (50.0%)7 (7.4%)4 (4.3%)7 (7.4%)7 (7.4%)22 (23.4%)56(38.4%)20 (13.7%)12 (8.2%)5 (3.4%)13 (8.9%)40 (27.4%)0.568
Desktop84 (89.4%)3 (3.2%)2 (2.1%)5 (5.3%)--103(70.6%)18 (12.3%)3 (2.1%)2 (1.4%)5 (3.4%)15 (10.3%)
Tablet/ipad27 (28.8%)6 (6.4%)6 (6.4%)3 (3.2%)4 (4.3%)48 (51.1%)36(24.7%)15 (10.2%)18 (12.3%)12 (8.2%)10 (6.9%)55 (37.7%)
Smartphone21 (22.3%)4 (4.3%)5 (5.3%)2 (2.1%)4 (4.3%)58 (61.7%)26(17.8%)18 (12.4%)13 (8.9%)8 (5.5%)18 (12.3%)63 (43.2%)
Television24 (25.5%)7 (7.4%)5 (5.3%)6 (6.4%)7 (7.4%)45 (47.9%)7(4.8%)14 (9.6%)12 (8.2%)11 (7.5%)16 (11.0%)86 (58.9%)
Non-handheld gaming console54 (57.4%)6 (6.4%)6 (6.4%)4 (4.3%)6 (6.4%)18 (19.1%)66(45.2%)14 (9.6%)15 (10.3%)8 (5.5%)15 (10.3%)28 (19.2%)
Handheld gaming console81 (86.2%)1 (1.1%)5 (5.3%)3 (3.2%)1 (1.1%)3 (3.2%)107(73.3%)11 (7.5%)9 (6.2%)2 (1.4%)4 (2.7%)13 (8.9%)
E-reader 93 (98.9%)----1 (1.1%)137(93.8%)2 (1.4%)1 (0.7%)3 (2.1%)1 (0.7%)2 (1.4%)
Others93 (98.9%)----1 (1.1%)133(91.1%)5 (3.4%)2 (1.4%)1 (0.7%)1 (0.7%)4 (2.7%)
Does the child have their own of the following screen media devices?
Type of devicesMyopic Control P-value
/NoYesNoYes No
Laptop22 (23.4%)72 (76.6%)22 (15.1%)124 (84.9%)<0.001*
Desktop9 (9.6%)85 (90.4%)15 (10.3%)131 (89.7%)
Tablet/ipad50 (53.2%)44 (46.8%)82 (56.2%)64 (43.8%)
Smartphone54 (57.4%)40 (42.6%)62 (42.5%)84 (57.5%)
Television3 (3.2%)91 (96.8%)86 (58.9%)60 (41.1%)
Non-handheld gaming console19 (20.2%)75 (79.8%)68 (46.6%)78 (53.4%)
Handheld gaming console1 (1.1%)93 (98.9%)29 (19.9%)117 (80.1%)
E-reader 9 (9.6%)85 (90.4%)6 (4.1%)140 (95.9%)
Others20 (21.3%)74 (78.7%)5 (3.4%)141 (96.6%)
Does the child bring the following screen media devices to school?
Type of devicesMyopic Control P-value
/NoYes, weeklyNo, never Yes, weekly No, never
Laptop2 (2.1%)92 (97.9%)6 (4.1%)140 (95.9%)<0.001*
Tablet/ipad5 (5.3%)89 (94.7%)5 (3.4%)141 (96.6%)
Smartphone3 (3.2%)91 (96.8%)11 (7.5%)135 (92.5%)
T Handheld gaming console2 (2.1%)92 (97.9%)3 (2.1%)143 (97.9%)
Others17 (18.1%)77 (81.9%)3 (2.1%)143 (97.9%)
Does the child use a tablet, smartphone, or computer in connection with school-related activities?
MyopicControl P-value
Yes, Daily and weeklyNeverYes, Daily and weekly Never
87 (92.6%)7 (7.4%)109 (74.7%)37 (25.3%)0.058
Does the child use a tablet, smartphone, or other screen media device in break time, for example to play a screen-based game?
MyopicControl P-value
Yes, Daily and weekly Never Yes, Daily and weekly Never
92 (97.9%)2 (2.1%)132 (90.4%)14 (9.6%)0.466

Table 3. Frequency distribution of the time spent per day on the screen-based activities across the myopic and control groups.

Screen-based activitiesMyopicControl P-value
/Time spent per day Low 0-2 hrs/day Moderate 2-3 hrs/day High >3 hrs/day Low 0-2 hrs/day Moderate 2-3 hrs/day High >3 hrs/day
Within the past month, how much time has the child typically spent per day on the following screen-based activities during leisure time? (in a weekday)
Movies, TV shows, YouTube video clips/movies, entertainment programs45 (47.9%)18 (19.1%)31 (33.0%)67 (45.9%)34 (23.3%)45 (30.8%)0.726
Games (on smartphone, tablet, game console, PC)45 (47.9%)18 (19.1%)31 (33.0%)67 (45.9%)34 (23.3%)45 (30.8%)
School-related tasks using screen media devices45 (47.9%)18 (19.1%)31 (33.0%)67 (45.9%)34 (23.3%)45 (30.8%)
Video calls (e.g., Face time, Skype)45 (47.9%)18 (19.1%)31 (33.0%)67 (45.9%)34 (23.3%)45 (0.8%)
Social media or other types of communication45 (47.9%)18 (19.1%)31 (33.0%)67 (45.9%)34 (23.3%)45 (0.8%)
Other45 (47.9%)18 (19.1%)31 (33.0%)67 (45.9%)34 (23.3%)45 (0.8%)
Within the past month, how much time has the child typically spent per day on the following screen-based activities during leisure time? (in a weekend day)
Movies, TV shows, YouTube video clips/movies, entertainment program36 (38.3%)14 (14.9%)44 (46.8%)76 (52.1%)26 (17.8%)44 (30.1%)0.629
Games (on smartphone, tablet, game console, PC36 (38.3%)14 (14.9%)44 (46.8%)76 (52.1%)26 (17.8%)44 (30.1%)
School-related tasks using screen media devices36 (38.3%)14 (14.9%)44 (46.8%)76 (52.1%)26 (17.8%)44 (30.1%)
Video calls (e.g., Face time, Skype)36 (38.3%)14 (14.9%)44 (46.8%)76 (52.1%)26 (17.8%)44 (30.1%)
Social media or other types of communication36 (38.3%)14 (14.9%)44 (46.8%)76 (52.1%)26 (17.8%)44 (30.1%)
Other36 (38.3%)14 (14.9%)44 (46.8%)76 (52.1%)26 (17.8%)44 (30.1%)

Table 4 presents the distribution of screen-based activity use in the myopic and control groups. The results showed that more than half of the children in both groups used screen media within half an hour after waking up in the morning for 0–2 days per week: 54 children (57.5%) in the myopic group and 96 children (65.8%) in the control group (p = 0.004). Additionally, a notable proportion of children in both groups used screen media within half an hour before going to sleep for 0–2 days per week: 35 children (37.2%) in the myopic group and 82 children (57.5%) in the control group (p = 0.043). The study also found that a significant proportion of children in both groups (myopic: 17 children, 34.0%; control: 30 children, 36.6%) were aged 7–9 years when they first got their own tablet (p = 0.012).

Table 4. Distribution of the use of the screen-based activities across the myopic and control groups.

StatementsMyopicControl P-value
Category n (%) Category n (%)
Any rules for the child’s use of screen mediaYes63 (67.0%)Yes101 (69.2%)0.528
No31 (33.0%)No45 (30.8%)
Number of days in a typical week the child use screen media in these time periods: Within half an hour after they wake up in the morning?0-2 days54 (57.5%)0-2 days96 (65.8%)0.004*
3-5 days13 (13.8%)3-5 days28 (19.2%)
>5 days27 (28.7%)>5 days22 (15.0%)
Within half an hour before they go to sleep in the evening?0-2 days35 (37.2%)0-2 days82 (57.5%)0.043*
3-5 days18 (19.1%)3-5 days6 (24.7%)
>5 days41 (43.7%)>5 days26 (17.8%)
When the child uses screen media, how often does he/she use more than one screen media device at a time?Never67 (71.3%)Never48 (32.9%)0.479
Sometimes14 (14.9%)Sometimes46 (31.5%)
Rarely4 (4.3%)Rarely41 (28.1%)
Always9 (9.6%)Always11 (7.5%)
When the child uses screen media, they are usuallyAlone45 (47.9%)Alone35 (24.0%)0.815
With a sibling15 (16.0%)With a sibling50 (34.2%)
With an adult34 (6.2%)With an adult61 (41.8%)
I am concerned about the child's screen media use in relation to his/her health and developmentAgree78 (83.0%)Agree110 (75.3%)0.974
Disagree7 (7.4%)Disagree1 (0.7%)
Partially agree9 (9.6%)Partially agree35 (24.0%)
I am concerned about the child's screen media use for the sake of his/her social lifeAgree67 (71.3%)Agree110 (75.3%)0.400
Disagree9 (9.6%)Disagree1 (0.7%)
Partially agree13 (13.8%)Partially agree34 (23.3%)
Partially disagree5 (5.3%)Partially disagree1 (0.7%)
How old was the child when he/she got his/her own smart phone?<4 years3 (5.6%)<4 years4 (6.5%)0.919
4-6 years6 (11.1%)4-6 years23 (37.1%)
7-9 years21 (8.9%)7-9 years24 (38.7%)
10-12 years24 (44.4%)10-12 years11 (17.7%)
How old was the child when he/she got his/her own tablet?<4 years6 (12.0%)<4 years12 (14.6%)0.012*
4-6 years15 (30.0%)4-6 years29 (35.4%)
7-9 years17 (34.0%)7-9 years30 (36.6%)
10-12 years12 (24.0%)10-12 years11 (13.4%)
How old was the child when he/she got his/her own laptop?<4 years0 (0.0%)<4 years2 (9.1%)0.982
4-6 years4 (18.2%)4-6 years4 (18.2%)
7-9 years12 (54.5%)7-9 years12 (54.5%)
10-12 years6 (27.3%)10-12 years4 (18.2%)

Table 5 (below) presents the attributes of patients by myopia category. The results indicate a significant association between patients’ age, their age at which they were first diagnosed with myopia and their myopia category (p = 0.030 and p = 0.005, respectively). However, no other patient attributes were significantly associated with myopia category.

Table 5. Patients’ attributes by Myopia category.

Variable Category High MildModerate P-value
GenderMale5 (12.8%)21 (53.9%)13 (33.3%)0.247
Female2 (3.6%)33 (60.0%)20 (36.4%)
Age4-6 years5 (19.2%)14 (53.9%)7 (26.9%)0.030*
7-9 years1 (2.6%)19 (50.0%)18 (47.4%)
10-12 years1 (3.3%)21 (70.0%)8 (26.7%)
NationalitySaudi6 (8.8%)35 (51.5%)27 (39.7%)0.162
Non-Saudi 1 (3.8%)19 (73.1%)6 (23.1%)
Family history of myopiaYes5 (6.2%)46 (56.8%)30 (37.0%)0.379
No2 (15.4%)8 (61.5%)3 (23.1%)
Child age when first diagnosed with myopia<4 years3 (23.0%)4 (30.8%)6 (46.2%)0.005*
4-6 years3 (7.9%)17 (44.7%)18 (47.4%)
7-9 years0 (0.0%)18 (69.2%)8 (30.8%)
10-12 years1 (5.9%)15 (88.2%)1 (5.9%)
Time spent outside the house<30 minutes1 (3.8%)14 (53.9%)11 (42.3%)0.616
<1 hour1 (4.3%)13 (56.6%)9 (39.1%)
>1 hour5 (11.1%)27 (60.0%)13 (28.9%)

* Significant at p<0.05 level.

Table 6 presents the Analysis of Variance (ANOVA) results of total screen time in children, based on their age at first use of screen media devices (smartphone, tablet, and laptop). The results indicate that the differences between these groups were not statistically significant (p = 0.196). This suggests that the age at which children first used screen media devices does not explain the variation in their total screen time.

Table 6. Analysis of Variance (ANOVA).

ModelSum of squaresdfMean squareF Sig
Regression12.90434.3011.5950.196
Residual242.713902.697
Total255.61793

a Dependent variable: Total spend time.

b Predictors: (Costant), Age_laptop, Age_tablet, Age_smartphone.

Table 7 presents the results of a one-way ANOVA examining the mean difference in total screen time between groups categorized by the age of the children (4–6 years, 7–9 years, and 10–12 years). The results revealed a statistically significant difference across the groups (p= 0.021). This suggests that total screen time differs substantially across the age groups children.

Table 7. Analysis of Variance (ANOVA).

ModelSum of squaresdfMean squareF Sig
Between groups20.689210.3444.0070.021*
Within groups234.928912.582
Total255.61793

a Dependent variable: Total screen time.

b Independent variable Age (4-6 year, 7-9 years and 10-12 years).

Discussion

The increasing use of screen media devices among children has raised concerns about its potential link to the growing prevalence of myopia.29 While factors such as physical activity, genetics, screen time, and time outdoors contribute to myopia, the relationship between screen time and myopia is not fully understood.30 This study aimed to explore the association between screen time and myopia in pediatric patients at King Fahad University Hospital, providing insights into the impact of screen use on children’s eye health.

The study revealed considerable exposure of children to screen media, including smartphones, laptops, and tablets. It found a higher proportion of smartphones (98.9%) and laptops (87.2%) in households with children in the myopic group, compared to the control group, which had lower proportions of smartphones (94.5%) and laptops (87.0%). These findings are consistent with those of Rideout and Robb, who observed a significant increase in average daily screen time up to 5 hours and 7 minutes in children, aged 8 to 12 in 2019. This poses a high risk of myopia and could also affect academic performance with television and smartphones being the most commonly used devices in both groups31 ( Table 2).

The study found that a substantial proportion of children, particularly in the myopic group, owned smartphones (57.4%) and laptops (23.4%), compared to the control group, where the proportions were lower: smartphones (42.5%) and laptops (15.1%). This highlights the increasing screen time over the years, an observation that aligns with a 2018 report which found that about 5% of children aged 5 to 7 globally already owned a mobile phone, and 42% had their own tablet; an observation which can be linked to the rising number of myopic children globally.32

The study reported a higher frequency of screen media use among the myopic group compared to the control group. Children in the myopic group used tablets, smartphones, and computers more frequently for school-related activities (92.6%) and more children in the myopic group (5.3%) regularly brought a tablet/iPad to school compared to the control group (3.4%), highlighting the increasing prevalence of myopia associated with higher screen time ( Table 2).

The results showed that more than half of the children in both groups used screen media within half an hour after waking up in the morning for 0–2 days per week: 54 children (57.5%) in the myopic group and 96 children (65.8%) in the control group (p = 0.004). Similarly, a notable proportion of children in both groups used screen media within half an hour before going to sleep for 0–2 days per week: 35 children (37.2%) in the myopic group and 82 children (57.5%) in the control group (p = 0.043). The study also found that early and frequent exposure to screen media was associated with a higher risk of myopia in children. A significant proportion of both groups (myopic: 17 children, 34.0%) received their first tablet at ages 7–9 years (p = 0.012). These findings highlight the importance of regulating children’s screen media use to reduce the risk of myopia ( Table 4).

The study found a significant association between patients’ age, the age at which they were first diagnosed with myopia, and their myopia category (p = 0.030 and p = 0.005, respectively). Children aged 4-6 years were more likely to have high myopia, consistent with findings by Smith and Walline who observed a high prevalence of myopia among children aged 4 to 7 years.33 This association may be attributed to increased indoor activities and reduced time spent outdoors in this age group, which increases their risk of myopia due to prolonged exposure to screen media devices34 ( Table 5).

The current study also found that a younger age at diagnosis was associated with a higher likelihood of developing high myopia, with children under 4 years old being more likely to develop high myopia. This is consistent with Rose et al.’s observation that the association is due to the longer duration of myopia progression. Early onset of myopia gives the eye more time to grow and elongate, increasing the potential for worsening myopia and raising the likelihood of high myopia.9 The analysis of variance results indicates that differences in screen time based on children’s age at first use of screen media devices (smartphone, tablet, and laptop) were not statistically significant (p = 0.196). This suggests that the age at which children first use screen media devices does not account for the variation in their total screen time ( Table 6).

The result revealed statistically significant difference in total screen time between age groups (4–6 years, 7–9 years, and 10–12 years), with a (p-value=0.021) suggesting that total screen time increases with age ( Table 7). This finding is consistent with a study conducted in Spain by Alvarez-Peregrina et al., which found that the number of hours spent using electronic devices increased significantly with age, with children aged 7 years and older spending more time on these devices.17 The increasing frequency of screen media use among children, both at home and school, highlights the growing dependence on technology in their daily activities.

There are a few limitations to this study, which needs to be considered. This research was confined in the data collection aspect as the research population was limited to pediatric ophthalmology patients of KFHU only, while it could cover wider population of patients from other hospitals for a stronger association. Further research in a larger population is needed to support the findings of this study. The lack of detailed and accurate information on the timing and severity of myopia poses significant constraints on achieving the study’s objectives.

Conclusion

The study established a significant association between patients’ age, the age at first diagnosis and myopia levels in pediatric patients attending King Fahad University Hospital (KFUH) in Saudi Arabia from November 2021 to November 2023. The patients’ screen time varied substantially across the age groups (4–6 years, 7–9 years, and 10–12 years); with smartphones being the most commonly used devices among both myopic children and control group. These findings highlight the need to better understand the relationship between myopia and screen time in pediatric patients, in order to develop evidence-based guidelines for managing screen time, protecting children from the adverse effects of screen media exposure, and promoting their eye health and overall well-being. This study can guide future research on the subject of screen time and children’s development and health, specifically for myopia and its prevention, this study also contributes to the literature and research at the local level in the Eastern Province of Saudi Arabia.

Ethics and consent

Ethical approval was obtained from the Institutional Review Board (IRB) at Imam Abdulrahman bin Faisal University. The approval was granted on November 12, 2023, under the number IRB-UGS-2023-01-486.

Written informed consent was obtained from all guardians after they were fully briefed on the study’s goals. They were also assured of the confidentiality and privacy of their personal information. Additionally, participants were informed that their participation was voluntary and that they could withdraw at any time without consequence.

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AL Mulhim N, AlFares M, AlMehrij S et al. Association of myopia with screen time use in pediatric patients in a tertiary hospital in Saudi Arabia [version 1; peer review: 3 approved with reservations]. F1000Research 2025, 14:148 (https://doi.org/10.12688/f1000research.160914.1)
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Reviewer Report 26 Jul 2025
Emmanuel E Okenwa-Vincent, Kaimosi Friends University, Kaimosi, Kenya 
Approved with Reservations
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Title:
Association of myopia with screen time use in pediatric patients in a tertiary hospital in Saudi Arabia

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This article explores the association between screen time and myopia in children aged ... Continue reading
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Okenwa-Vincent EE. Reviewer Report For: Association of myopia with screen time use in pediatric patients in a tertiary hospital in Saudi Arabia [version 1; peer review: 3 approved with reservations]. F1000Research 2025, 14:148 (https://doi.org/10.5256/f1000research.176875.r392236)
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Reviewer Report 26 Jul 2025
Leon Marković, University Hospital “Sveti Duh”, University Josip Juraj Strossmayer, Zagreb, Croatia 
Approved with Reservations
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This study investigates the association between screen time and myopia among pediatric patients at King Fahad University Hospital in Saudi Arabia. It uses a retrospective case-control design with data from 94 children with myopia and 146 controls. Screen time habits ... Continue reading
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Marković L. Reviewer Report For: Association of myopia with screen time use in pediatric patients in a tertiary hospital in Saudi Arabia [version 1; peer review: 3 approved with reservations]. F1000Research 2025, 14:148 (https://doi.org/10.5256/f1000research.176875.r392232)
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Reviewer Report 22 Jul 2025
Ka Wai Kam, Department of Ophthalmology & Visual Sciences, Prince of Wales Hospital, Hong Kong, Hong Kong 
Approved with Reservations
VIEWS 3
The authors conducted a retrospective case-control study, and identified several risk factors associated with myopia in childhood through a validated questionnaire. 

The methodology was well described including the statistical methods and sample size calculation which was fulfilled. 
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Kam KW. Reviewer Report For: Association of myopia with screen time use in pediatric patients in a tertiary hospital in Saudi Arabia [version 1; peer review: 3 approved with reservations]. F1000Research 2025, 14:148 (https://doi.org/10.5256/f1000research.176875.r392247)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.

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