Analysis of Visual Screening Status for Preschool Children Aged 5 to 6 Years in Linhai City

Analysis of Visual Screening Status for Preschool Children Aged 5 to 6 Years in Linhai City


Analysis of Visual Screening Status for Preschool Children Aged 5 to 6 Years in Linhai City

1. Introduction

Children aged 5 to 6 are in a sensitive stage of visual development and a critical period for the cultivation of eye hygiene habits [1]. With the advent of the Internet era, the incidence of visual abnormalities is increasingly occurring at younger ages, especially among preschool children aged 5 to 6. Excessive and frequent exposure to television and computer screens, coupled with insufficient outdoor activities, are significant factors contributing to visual development disorders [2]. This study aims to analyze the vision screening results and influencing factors among preschool children aged 5 to 6 in our city, providing a basis for implementing effective intervention measures.

2. Methods

2.1. Study Design and Sample

A random overall sampling method was used to select all 5 – 6 years old children from four kindergartens and their branches in our city in June 2023. A total of 1591 children were examined for vision (excluding children with strabismus and organic eye diseases), including 855 boys and 736 girls. At the same time, parents of the children filled out a questionnaire survey on factors related to visual abnormalities. This study was approved by the Medical Ethics Committee of Linhai Maternal and Child Health Hospital, and the survey was conducted voluntarily and anonymously.

We strictly follow the instructions of international standard visual acuity charts or standard logarithmic visual acuity charts. The monocular uncorrected visual acuity of children is used as a standard to determine whether their vision is abnormal. Weilun SureSight vision screening device is used to check refractive parameters. The survey on family situation is conducted in the form of a self-administered questionnaire, which is filled out by parents of children aged 5 – 6. The questionnaire mainly includes gender, age, nutritional feeding, electronic product use, etc.

2.2. Indicator Definition

According to the “Notice of the General Office of the National Health Commission on Issuing the Norms for Eye Health Care and Vision Examination Services for Children Aged 0 – 6 (Trial)” formulated in 2021, the judgment criteria for visual impairment and refractive abnormalities can be determined. If any of the following conditions occur in any one eye, the preliminary diagnosis can be determined: uncorrected visual acuity ≤ 4.9 (0.8) for children aged 5 and above, or visual acuity difference of two lines or more (standard logarithmic visual acuity chart), or visual acuity difference of 0.2 or more (international standard visual acuity chart) between two eyes, it is considered low vision; ametropia: astigmatism > 1.50 D, hyperopia > +3.50 D, myopia < −1.50 D [3]. Children with low vision or ametropia are considered to have visual abnormalities [4].

2.3. Statistical Processing

SPSS 27.0 software was used for data analysis in this study. The count data is expressed as a percentage. Chi-squared test were used for analysis and Multivariate logistic regression analysis was used for multivariate analysis. P < 0.05 indicates a statistically significant difference.

3. Results

3.1. Test Results for Abnormal Vision

In Linhai City, Zhejiang Province, a total of 1591 preschool children aged 5 – 6 years underwent visual examinations and filled out questionnaires. The detection rate of abnormal vision was 27.47% (437/1591), including 17.79% (283/1591) of low naked eye vision and 26.15% (416/1591) of refractive abnormalities. Among individuals with refractive abnormalities, 199 people (47.84%) had astigmatism, 176 people (42.31%) had myopia, 15 people (3.61%) had hyperopia, 15 people (3.61%) had hyperopic astigmatism, and 11 people (2.64%) had myopic astigmatism.

3.2. Comparison of Detection Rates

The detection rate of abnormal vision in girls is higher than that in boys, but the results are not statistically significant. There is no statistically significant difference between genders (P > 0.05) in the detection rate of low vision and refractive abnormalities (myopia, hyperopia, astigmatism, myopic astigmatism, and hyperopic astigmatism), as shown in Table 1.

Table 1. Comparison of detection rates of abnormal vision in preschool children aged 5-6 years old of different genders (n, %).

Factors

Abnormal vision
(n = 437)

Low vision
(n = 283)

Refractive abnormalities (n = 416)

Myopia
(n = 176)

Hyperopia
(n = 15)

Astigmatism
(n = 199)

Myopic astigmatism
(n = 11)

Hyperopic astigmatism
(n = 15)

Male

222 (25.96)

138 (16.14)

93 (10.88)

5 (0.58)

99 (11.58)

4 (0.47)

9 (1.05)

Female

215 (29.21)

145 (19.70)

83 (11.28)

10 (1.36)

100 (13.59)

7 (0.95)

6 (0.82)

χ2

2.093

3.429

0.064

2.537

1.457

1.345

0.239

P

0.159

0.066

0.810

0.125

0.254

0.364

0.796

3.3. Univariate Analysis

Univariate analysis showed that the following Twelve factors were risk factors for abnormal vision in children, the mother spent 3 months before pregnancy watching electronic products every day, the mother’s educational level, the first or second born Children, whether the child’s daily diet consumed less vitamin A or carotenoid foods, whether the child’s daily diet consumed less dark green fruits and vegetables, whether the child watched electronic products for more than 30 minutes each time, the child’s cumulative time watching electronic products per day, whether the child’s screen brightness was abnormal (the screen was too bright or too dark), whether the child watched electronic products too close, whether the child regularly paid attention to the child’s eye discomfort symptoms (such as dry eyes, red eyes, itchy eyes, stinging, tears, etc.), the average daily outdoor activity time and the average daily sleep time of children (P < 0.05), as shown in Table 2.

Table 2. Univariate analysis of factors affecting visual abnormalities in preschool children aged 5 – 6 (n, %).

Factors

Normal vision (n = 1154)

Abnormal vision (n = 437)

χ2

P

the mother spent 3 months before pregnancy watching electronic products every day

12.753

0.002

within 2hours

565 (76.25)

176 (23.75)

2~6hours

471 (70.72)

195 (29.28)

more than 6hour

118 (64.13)

66 (35.87)

the mother’s educational level

8.824

0.032

graduate degree and above

53 (81.54)

12 (18.46)

bachelor degree

662 (72.11)

256 (27.89)

associate degree

251 (68.58)

115 (31.42)

high school diploma and below

188 (77.69)

54 (22.31)

the first or second born Children

8.308

0.005

the first

470 (68.81)

213 (31.19)

the second and above

684 (75.33)

224 (24.67)

whether the child’s daily diet consumed less vitamin A or carotenoid foods

19.438

<0.001

yes

405 (66.28)

206 (33.72)

no

749 (76.43)

231 (23.57)

whether the child’s daily diet consumed less dark green fruits and vegetables

7.970

0.005

yes

503 (69.09)

225 (30.91)

no

651 (75.43)

212 (24.57)

whether the child watched electronic products for more than 30 minutes each time

7.200

0.008

yes

725 (70.32)

306 (29.68)

no

429 (76.61)

131 (23.39)

the child’s cumulative time watching electronic products per day

within half an hour

236 (73.98)

83 (26.02)

18.257

<0.001

0.5 – 1 hour

422 (75.76)

135 (24.24)

1 – 2 hours

333 (73.67)

119 (26.33)

more than 2 hours

163 (61.98)

100 (38.02)

whether the child’s screen brightness was abnormal (the screen was too bright or too dark)

12.029

<0.001

yes

111 (61.67)

69 (38.33)

no

1043 (73.92)

368 (26.08)

whether the child watched electronic products too close (TV < 300 cm, computer/tablet < 50 cm, mobile phone < 30 cm)

9.017

0.003

yes

335 (67.54)

161 (32.46)

no

819 (74.79)

276 (25.21)

whether the child regularly paid attention to the child’s eye discomfort symptoms (such as dry eyes, red eyes, itchy eyes, stinging, tears, etc.)

4.761

0.037

yes

112 (65.50)

59 (34.50)

no

1042 (73.38)

378 (26.62)

the average daily outdoor activity time

7.664

0.005

within 2 hours

841 (70.73)

348 (29.27)

more than 2 hours

313 (77.86)

89 (22.14)

the average daily sleep time of children

10.202

0.006

within 8 hours

144 (64.29)

80 (35.71)

8 – 10 hours

888 (73.39)

322 (26.61)

more than 10 hours

122 (77.71)

35 (22.29)

3.4. Multi Factor Logistic Regression Analysis

The dependent variable was whether the preschool children aged 5 – 6 years old had visual abnormalities. In univariate analysis, P < 0 The influencing factors of 05 were used as independent variables, and multiple logistic regression analysis was conducted. The results showed that low intake of vitamin A or carotenoid foods in the diet, abnormal screen brightness of electronic products (too bright or too dark), average daily outdoor activity time of children < 2 hours, children watching electronic products for more than 30 minutes each time, and children using electronic products too close to each other would increase the risk of visual abnormalities in children to varying degrees. The factor assignment method is shown in Table 3, and the results of the multiple logistic regression analysis are shown in Table 4.

Table 3. Factor assignment method.

Factors

Assignment and significance

Abnormal vision

yes = 0, no = 1

during the first 3 months of pregnancy, the mother’s daily time spent watching electronic devices

Within 2 hours = 1; 2 – 6 hours = 2; more than 6 hours = 3

mother’s educational level

set dummy variables (graduate degree and above; bachelor degree; associate degree; high school diploma and below)

the first or second born Children

the first = 1; the second and above = 2

whether the child’s daily diet consumed less vitamin A or carotenoid foods

yes = 0; no = 1

whether the child’s daily diet consumed less dark green fruits and vegetables

yes = 0; no = 1

whether the child watched electronic products for more than 30 minutes each time

yes = 0; no = 1

children’s cumulative daily viewing time of electronic products

within half hour = 1; 0.5 – 1 hour = 2; 1 – 2 hours = 3; more than 2 hours = 4

whether the child’s screen brightness was abnormal (the screen was too bright or too dark)

yes = 0; no = 1

whether the child watched electronic products too close (TV < 300 cm, computer/tablet < 50 cm, mobile phone < 30 cm)

yes = 0; no = 1

whether the child regularly paid attention to the child’s eye discomfort symptoms (such as dry eyes, red eyes, itchy eyes, stinging, tears, etc.)

yes = 0; no = 1

The average daily outdoor activity time of children < 2 h

yes = 0; no = 1

the average daily sleep time of children

within 8hours = 1; 8 – 10 hours = 2; more than 10 hours = 3

Table 4. Multivariate logistic regression analysis of factors influencing visual abnormalities in preschool children aged 5 – 6 years old.

Factors

B

Standard Error

Wald χ2

P

OR

95% CI

eat less vitamin A or carotenoid foods

0.288

0.086

11.129

0.002

1.334

1.102 – 2.657

abnormal brightness of electronic product screen

0.509

0.263

9.528

0.011

1.664

1.125 – 2.460

the average daily outdoor activity time of children < 2 h

0.902

0.372

6.426

0.021

2.464

1.074 – 5.653

children watch electronic products for more than 30 minutes each time

0.758

0.426

4.539

0.037

2.134

1.423 – 3.795

children using electronic products too close

0.935

0.135

6.562

0.025

2.546

1.234 – 2.856

4. Discussion

This study shows that the detection rate of visual abnormalities in preschool children aged 5 – 6 in Linhai City is 27.47%, slightly higher than that in Quzhou City (26.8%), and significantly higher than that in Wenzhou City (14.73%). The rate of low visual acuity in naked eyes is 17.79%, which is lower than the low visual acuity rate of 6-year-old children newly enrolled in Jinshan District, Shanghai (27.78%), and significantly higher than that in Haidian District, Beijing (5.97% – 7.57%).

The detection rate of refractive abnormalities in preschool children aged 5-6 in Linhai City was 26.15% in this survey, with astigmatism (47.84%) accounting for the highest proportion of refractive abnormalities, followed by myopia (42.31%) [5]. Consistent with the research of Australia [6]. Astigmatism in children can easily lead to refractive amblyopia, so the problem of astigmatism in children aged 5 – 6 deserves sufficient attention. Research [7] shows that approximately one-fifth of blindness worldwide is caused by refractive abnormalities, primarily myopia. Excessive screen time and a large amount of radiation stimulation can affect children’s refractive development and easily lead to refractive abnormalities such as myopia and astigmatism.

There are many influencing factors for visual abnormalities in preschool children, and their occurrence is the result of a combination of genetic and environmental factors. This study used logistic regression to analyze the common influencing factors of visual abnormalities in preschool children aged 5 – 6 years old [8]. The results showed that low intake of vitamin A or carotenoid foods in diet, abnormal screen brightness of electronic products (too bright or too dark), average daily outdoor activity time of children<2 hours, children watching electronic products for more than 30 minutes each time, and children using electronic products too close to each other were still associated with the occurrence of visual abnormalities in children [9]. The normal development of children’s vision depends on comprehensive and balanced nutrition [10]. In this study, the results of multiple factor analysis showed that a lack of vitamin A and carotenoid foods in children’s diet is a risk factor affecting their visual development. Carotenoids are converted into vitamin A in the body to promote normal secretion of mucosal epithelium and ensure normal visual development [11]. Approximately 250,000 to 500,000 children worldwide go blind each year due to a lack of vitamin A, with nearly half of them dying from blindness within a year. It can be seen that vitamin A and carotenoid foods provide sufficient nutritional support for visual development, which is crucial for children’s visual development.

With the popularity of television, computers, and mobile phones, electronic products are being used more frequently in family life [12]. In this study, the results of multiple factor analysis showed that children who watch electronic products for more than 30 minutes each time have abnormal screen brightness, and children who use electronic products too close (P < 0.05) are risk factors for visual abnormalities in children [13]. When children use electronic devices too close, the screen is too bright or dark, and the viewing time is too long, the ciliary muscle will spasm due to long-term tension, causing blurred vision in the eyes, accompanied by a series of uncomfortable symptoms such as dryness, pain, and tears. Long term use of this can lead to abnormal vision [14].

This study also showed that an average daily outdoor activity time of less than 2 hours is a risk factor for visual abnormalities in children aged 5 – 6, which is consistent with the research of France [15]. When children participate in outdoor activities, light reduces the occurrence of myopia by promoting the release of dopamine from the retina [16], and outdoor light can also promote further development and maturity of vision [17]. Therefore, children’s participation in outdoor activities can help protect their eyesight. Xu Lan’s research also shows that the longer preschool children engage in outdoor activities, the lower their rate of visual impairment.

5. Conclusion

The situation of visual abnormalities in preschool children aged 5 – 6 in Linhai City is severe. Ensuring balanced nutrition for children, supplementing with vitamin A and carotenoid foods in their daily diet, strictly controlling the distance, time, and brightness of electronic products used by young children, and encouraging children to participate in outdoor activities when the weather is suitable are all measures to protect their vision. Strengthening education on reasonable eye use and early screening of the visual acuity of preschool children aged 5 – 6 can detect problems early and take corresponding intervention measures in a timely manner. By combining education, conservation, and medical care, we can jointly promote the healthy development of children’s vision.

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