Association Between Sleep Status and Myopia in Children and Adolescents: A Cross-sectional Study in Shenzhen

DOI: https://doi.org/10.21203/rs.3.rs-912476/v1

Abstract

Purpose: The aim of this cross-sectional study was to assess the association between sleep status and myopia in children and adolescents.

Methods: Stratified cluster sampling a total of 30,188 schoolchildren from 14 schools located in 6 streets (Xinxiang, Songgang, Shiyan, Fuyong, Shajing and Xinan) of Baoan District in Shenzhen, China. The demographic characteristics of schoolchildren, information of self-reported myopia and their sleep status in the last 1 month were collected through using a standardized questionnaire. χ2-test was used to compare differences in myopia rates among children and adolescents in different sleep status. Logistic regression models were used to analyze the association of sleep status with myopia in children and adolescents.

Results: The self-reported myopia rates was 49.8% among children and adolescents in Shenzhen. In primary, junior high and senior high students, the myopia rates were 25.6%, 62.4%, and 75.7%, respectively. After controlling for confounders, the results of multiple logistic analysis showed that night sleep duration < 7h/d (OR = 2.02, 95%CI: 1.87-2.19), falling asleep at a fixed time (no) (OR = 1.14, 95%CI: 1.08-1.20), getting up at a fixed time in the morning (no) (OR = 1.28, 95%CI: 1.19-1.37), putting off sleeping on weekends ≥ 2 h/d (OR = 1.28, 95%CI: 1.17-1.41) and Putting off getting up on weekends ≥ 2 h/d were risk factors (OR = 1.23, 95%CI: 1.13-1.34). After stratified by grade, social jet lag was not associated with myopia among senior high students.

Conclusion: Insufficient sleep duration was positively associated with self-reported myopia, irregular patterns of sleep and social jet lag increased the risk of myopia among schoolchildren. Myopia prevention and control among children and adolescents should not only ensure adequate sleep, but also develop a habit of regular sleep.

Introduction

Myopia is a common disease that occurs mainly in childhood and early adulthood, and it is also known as short-sightedness or near-sightedness 1. Because prevalence of myopia has rapidly risen globally over the past three decades, it has been described as an epidemic disease and has become an important public health problem 2. A large number of studies have shown that myopia is associated with many factors, such as outdoor activities, near-work activities, educational pressure and parental myopia 36. Considering the high incidence of myopia, there is an increasing need to explore other environmental factors that may influence the development of myopia.

Sleep is an important physiological process of the human body, and good sleep is a necessary condition to improve physical and mental health of children and adolescents. Several recent studies suggest that sleep may be potentially associated with myopia in children and adolescents. For instance, a cross-sectional study of 3, 625 Korean adolescents aged 12 to 19 years indicated that per 1 hour increase in sleep duration was associated with a 10% lower risk of myopia 7. Difference, similar to jet lag between sleep pattern on weekends and school days are known as “social jet lag” 8, 9. In children and adolescents, it is common that weekend sleep patterns are not as same as the study days 10, 11. Objective measurements of sleep and light collected every 6 months for 14 days in Australian children aged 10 to 15 years revealed that non-myopic children had more regular sleep status (seldom staying up late and putting off getting up), while myopic children showed greater variability, whether it was the study day or weekend, summer or winter 12.

Therefore, we propose a hypothesis that poor sleep status, such as lack of sleep time, and social jet lag (mainly manifested in the inconsistency between weekend sleep status and study days in this study) may be associated with myopia in children and adolescents. we conducted a cross-sectional study in Shenzhen, China, with data on sleep duration, social jet lag and self-reported myopia obtained through a standardized questionnaire to examine the association between sleep status and myopia in children and adolescents.

Materials And Methods

From April 2019 to May 2019, 14 schools in 6 sub-districts including Xixiang, Songgang, Shiyan, Fuyong, Shajing and Xinan under the jurisdiction of Baoan District in Shenzhen, were selected by stratified cluster sampling, and 33, 801 primary and high school students were selected by cluster sampling in classes for student physical health survey. Excluding the questionnaires with ineffective missing filling, the exclusion criteria were that the questionnaire had significant logical errors or the missed filling rate was more than 5%, and a total of 30, 188 valid questionnaires were included, with a response rate of 84.4%. We abided by the guidelines of the Declaration of Helsinki and this study was approved by the biomedical ethics committee of Anhui Medical University (No. 2140104), and the investigation obtained the informed consent of the guardian of the respondents.

Based on literature search and expert consultation, a questionnaire was designed. The survey included sex, age (years), outdoor activity, academic record, study burden, family income, father’s education, mother’s education, father myopia, mother myopia, and sleep status in the last month (night sleep duration, whether to fall asleep at a fixed time, whether to get up at a fixed time, whether to put off falling asleep on weekends, and whether to put off getting up on weekends). Myopia was judged by parents (grades 1–4 in primary school) and students (grade 5 and above) who self-reported a history of optometry.

A detailed and feasible survey implementation plan was developed before the survey and the personnel participating in the survey were uniformly trained. Quality management personnel reviewed the returned questionnaires, performed data through classification and logical inspection before data analysis, and eliminated the samples lacking basic information.

EpiData 3.1 software was used to input the data, the database was verified after input, SPSS 17.0 software was used for statistical analysis, and ggplot 2 package in R tool 4.0.4 was used to make forest plots. The χ2 test and χ2-trend test were used to compare the differences in self-reported myopia rates among primary and middle school students with different characteristics. Self-reported myopia was used as the dependent variable, and confounding factors such as gender, school level, father and mother education level, parental myopia, and family economic status were adjusted using a binary logistic model to calculate OR values and 95% CI, with P < 0.05 considered statistically significant, using nighttime sleep duration, falling asleep at a fixed time in the night, getting up at fixed time in the morning, putting off sleeping on weekends, and putting off getting up at weekends as independent variables.

Results

Table 1 showed the basic characteristics of this sampling. The self-reported myopia rate of children and adolescents (mean age = 12.44, SD = 3.47) in Shenzhen was 49.8% (15, 026/30, 188),,and the myopia rate of female students (54.2%) was higher than that of male students (46.3%), and the difference was statistically significant; the self-reported myopia rates among primary, junior high and senior high students were 25.6%, 62.4%, 75.7%, respectively, which increased with the grade, and the difference was statistically significant; the myopia rate of students with higher father and mother education level was lower, and the myopia rate of students with poor family economic level was lower, and the difference was statistically significant.

Table 1

Basic characteristics of the samples.

Variables

Number of participants

Myopia cases

Myopia rates (%)

χ2 or χ2-trend

P value

Sex

     

190.00a

< 0.001

Male

16,897

7,816

46.3

   

Female

13,291

7,210

54.2

   

Age (years)

     

5302.51a

< 0.001

≤ 12

14,484

4,049

28.0

   

> 12

15,704

10,977

69.9

   

Grade

     

5958.23b

< 0.001

Primary

13,420

3,431

25.6

   

Junior high

8,232

5,137

62.4

   

Senior high

8,536

6,458

75.7

   

Family economic level

     

1127.34b

< 0.001

Under moderate

4,113

1,598

38.9

   

Moderate

20,395

10,494

51.5

   

Over moderate

5,680

2,934

51.7

   

Father’s education

     

52.49b

< 0.001

Junior high or below

9,641

5,025

52.1

   

Senior high

11,387

5,712

50.2

   

College or above

9,160

4,289

46.8

   

Mother’s education

     

119.86b

< 0.001

Junior high or below

12,203

6,448

52.8

   

Senior high

11,184

5,554

49.7

   

College or above

68,01

3,024

44.5

   

Father myopia

     

444.10b

< 0.001

Yes

8,414

4,936

58.7

   

No

20,791

9,503

45.7

   

Unknown

983

587

59.7

   

Mother myopia

     

164.62b

< 0.001

Yes

8,696

4,955

57.0

   

No

2,0524

9,525

46.4

   

Unknown

968

546

56.4

   

Outdoor activity

     

26.66b

< 0.001

< 1h/d

12785

6661

52.1

   

1-2h/d

10284

4873

47.4

   

≥ 2h/d

7102

3479

49.0

   

Screen time

     

140.73b

< 0.001

< 1h/d

15853

7492

47.3

   

1-2h/d

7925

3918

49.4

   

≥ 2h/d

6410

3616

56.4

   

Academic record

     

148.18b

< 0.001

Bad

7,580

3,494

46.1

   

Normal

11,573

8,627

49.1

   

Good

5,035

2,905

57.7

   

Study burden

     

397.40b

< 0.001

Light

2,451

1,035

42.2

   

Normal

19,020

8,847

46.5

   

Heavy

8,717

5,144

59.0

   
Note: a is for χ2, b is for χ2-trend

Table 2 showed the outcome of univariate analysis for sleep status and self-reported myopia. The self-reported myopia rates of students with night sleep duration ≥ 9, 8-9h/d, 7–8 and < 7h/d were 26.0%, 27.8%, 43.2%, and 68.6%, respectively, which increased with the decrease of night sleep duration (P < 0,001). And the effect of social jet lag on myopia was significant (all P value < 0.001). After subgroup analysis were performed by grade, in the primary school group, not falling asleep at a fixed time at night, not getting up at a fixed time in the morning, putting off falling asleep ≥ 2h/d on weekends, and putting off getting up ≥ 2h/d on weekend was associated with self-reported myopia (all P values < 0.001); in the junior high group, social jet lag was not associated with myopia (all P values > 0.05); in the senior high group, not getting up at a fixed time was related to self-reported myopia (P < 0.05).

Table 2

Comparison of self-reported myopia rates in children and adolescents with different sleep status stratified by grade.

Variable

Total

 

Primary

 

Junior high

   

Senior high

Number of participants

Myopia cases

Myopia rate (%)

 

Number of participants

Myopia cases

Myopia rate (%)

 

Number of participants

Myopia cases

Myopia rate (%)

   

Number of participants

Myopia cases

Myopia rate (%)

Night sleep duration

                               

༜7 h/d

13,354

9,162

68.6

 

1,336

491

36.8

 

4,540

2,953

65.0

   

7,478

5,718

76.5

7–8 h/d

7,862

3,395

43.2

 

4,273

1,134

26.5

 

2,671

1,605

60.1

   

918

656

71.5

8–9 h/d

7,491

2,084

27.8

 

6,510

3,431

23.3

 

873

498

57.0

   

108

68

63.0

≥ 9 h/d

1,481

385

26.0

 

1,301

1,518

22.1

 

148

81

54.7

   

32

16

50.0

χ2-trend

 

3695.82

     

94.22

     

32.32

       

26.42

 

P value

 

< 0.001

     

< 0.001

     

< 0.001

       

< 0.001

 

Fall asleep at a fixed time at night

                               

Yes

19,585

9,164

46.8

 

11,739

2,871

24.5

 

6,888

4,281

62.2

   

6,888

5,200

62.4

No

10,603

5,862

55.3

 

1,681

560

33.3

 

1,344

856

62.4

   

1,648

1,258

76.3

χ2

 

198.58

     

60.61

     

1.14

       

0.51

 

P value

 

< 0.001

     

< 0.001

     

0.287

       

0.475

 

Get up at a fixed time in the morning

                               

Yes

25,515

12,352

48.4

 

9,773

2,263

23.2

 

8,232

5,137

62.4

   

5,467

4,175

76.4

No

4,673

2,674

57.2

 

3,647

1,168

32.0

 

4,345

2,726

62.7

   

3,069

2,283

74.4

χ2

 

122.67

     

109.82

     

0.443

       

4.18

 

P value

 

< 0.001

     

< 0.001

     

0.506

       

0.041

 

Put off sleeping on weekends

                               

no

6,263

2,945

47.0

 

2,915

694

23.8

 

1,767

1,070

60.6

   

1,581

1,181

74.7

< 1 h/d

14,439

6,852

47.5

 

7,121

1,752

24.6

 

3,596

2,261

62.9

   

3,722

2,839

76.3

1–2 h/d

5,868

3,043

51.9

 

2,457

669

27.2

 

1,603

1,000

62.4

   

1,808

1,374

76.0

≥ 2 h/d

3,618

2,186

60.4

 

927

316

34.1

 

1,266

806

63.7

   

1,425

1,064

74.7

χ2-trend

 

181.06

     

36.78

     

2.27

       

0.033

 

P value

 

< 0.001

     

< 0.001

     

0.132

       

0.856

 

Put off getting up on weekends

                               

no

5,610

2,400

42.8

 

3,092

756

24.5

 

1,501

885

59.0

   

1,017

759

74.6

< 1 h/d

11,793

5,519

46.8

 

5,918

1,454

24.6

 

3,044

1,947

64.0

   

2,831

2,118

74.8

1–2 h/d

6,881

3,507

51.0

 

3,011

783

26.0

 

1,767

1,095

62.0

   

2,103

1,629

77.5

≥ 2 h/d

5,904

3,600

61.0

 

1,399

438

31.3

 

1,920

1,210

63.0

   

2,585

1,952

75.5

χ2-trend

 

424.31

     

20.46

     

2.20

       

1.03

 

P value

 

< 0.001

     

< 0.001

     

0.138

       

0.311

 

Table 3 and Fig. 1 showed the association between sleep status and the risk of self-reported myopia: Controlling of factors such as sex, age (years), outdoor activity, academic record, study burden, family economic level, father’s education, mother’s education, father myopia, mother myopia, the results of logistic analysis showed that the OR (95% CI) for myopia was 2.02 (1.87–2.19) in participants with night sleep duration < 7 h/d compared with students with night sleep duration 8–9 h/d; the ORs (95% CIs) for self-reported myopia were 1.14 (1.08–1.20) and 1.28 (1.19–1.37) in students who did not fall asleep at a fixed time at night and get up at a fixed time in the morning, respectively; the ORs (95% CIs) for self-reported myopia were 1.28 (1.17–1.41) and 1.23 (1.13–1.34) in students who put off sleeping ≥ 2 h/d and put off getting up ≥ 2 h/d on weekends, respectively.

Table 3

Multivariate logistic regression analysis of different sleep status and self-reported myopia in children and adolescents.

Variables

Model 1

 

Model 2

OR (95%CI)

P value

 

Primary

 

Junior high

 

Senior high

 

OR (95%CI)

P value

 

OR (95%CI)

P value

 

OR (95%CI)

P value

Night sleep duration

                     

8–9 h/d

1.00

   

1.00

   

1.00

   

1.00

 

< 7 h/d

2.02 (1.87–2.19)

< 0.001

 

1.60 (1.41–1.83)

< 0.001

 

1.18 (1.01–1.38)

0.033

 

1.63 (1.07–2.47)

0.022

7–8 h/d

1.30 (1.21–1.40)

< 0.001

 

1.14 (1.04–1.25)

0.005

 

1.05 (0.90–1.23)

0.573

 

1.34 (0.86–2.07)

0.208

≥ 9 h/d

0.92 (0.80–1.05)

0.202

 

0.89 (0.77–1.03)

0.126

 

0.95 (0.67–1.36)

0.786

 

0.66 (0.29–1.49)

0.313

Fall asleep at a fixed time at night

                     

Yes

1.00

   

1.00

   

1.00

   

1.00

 

No

1.14 (1.08–1.20)

< 0.001

 

1.45 (1.33–1.58)

< 0.001

 

0.95 (0.86–1.04)

0.255

 

0.93 (0.84–1.03)

0.179

Get up at a fixed time int the morning

                     

Yes

1.00

   

1.00

   

1.00

   

1.00

 

No

1.28 (1.19–1.37)

< 0.001

 

1.43 (1.27–1.60)

< 0.001

 

1.13 (0.99–1.28)

0.052

 

1.10 (0.97–1.25)

0.143

Put off sleeping on weekends

                     

no

1.00

   

1.00

   

1.00

   

1.00

 

< 1 h/d

1.04 (0.97–1.11)

0.277

 

1.07 (0.97–1.19)

0.185

 

1.09 (0.96–1.23)

0.176

 

1.04 (0.90–1.19)

0.627

1–2 h/d

1.09 (1.01–1.18)

0.035

 

1.17 (1.03–1.33)

0.017

 

1.09 (0.94–1.25)

0.259

 

1.02 (0.87–1.20)

0.835

≥ 2 h/d

1.28 (1.17–1.41)

< 0.001

 

1.52 (1.29–1.80)

< 0.001

 

1.23 (1.06–1.44)

0.006

 

1.01 (0.85–1.20)

0.914

Put off getting up on weekends

                     

no

1.00

   

1.00

   

1.00

   

1.00

 

< 1 h/d

1.05 (0.98–1.13)

0.181

 

1.05 (0.94–1.16)

0.412

 

1.13 (0.99–1.28)

0.071

 

0.92 (0.78–1.10)

0.362

1–2 h/d

1.10 (1.02–1.19)

0.017

 

1.12 (0.99–1.27)

0.057

 

1.08 (0.89–1.18)

0.748

 

1.03 (0.86–1.23)

0.780

≥ 2 h/d

1.23 (1.13–1.34)

< 0.001

 

1.36 (1.17–1.57)

< 0.001

 

1.12 (0.97–1.29)

0.129

 

0.95 (0.80–1.13)

0.539

Note. Model 1: adjusted for sex, age (years), outdoor activity, academic record, study burden, family economic level, father’s education, mother’s education, father myopia, mother myopia.
Model 2: stratified by grade, adjusted for sex, age (years), outdoor activity, academic record, study burden, family economic level, father’s education, mother’s education, father myopia, mother myopia.

After stratification by grade (Table 3, Fig. 24), for night sleep duration < 7h/d, the ORs (95%CIs) were respectively 1.60 (1.41–1.83), 1.18 (1.01–1.38) and 1.63 (1.07–2.47) among primary, junior and senior high students; in primary group, not falling asleep at night and not getting up at a fixed time in the morning, putting off sleeping ≥ 2h/d and getting up ≥ 2h/d on weekends had the most obvious effect among primary groups, and the ORs (95% CIs) were respectively 1.45 (1.33–1.58), 1.43 (1.27–1.60), and 1.52 (1.29–1.80), which indicated that social jet lag was significantly associated with myopia among primary students. In junior high group, putting off sleeping was significantly associated with myopia with ORs (95% CIs) 1.23 (1.06–1.44), while not falling asleep at a fixed time at night, not getting up at a fixed time in the morning and and getting up ≥ 2h/d on weekends were not risk factors. In senior high group, social jet lag was not associated with self-reported myopia (all P values > 0.05)

Discussion

Educational stress is an important cause of the myopia epidemic 13. The self-reported myopia rate of 30, 188 primary and middle school students in Bao'an District, Shenzhen was 49.8%, and the self-reported myopia rates of primary, senior high, and junior high students were 25.6%, 62.4% and 75.7% respectively. This survey showed that students with a higher parental education level had a lower rate of self-reported myopia, and students with a poorer family economic status had a lower rate of self-reported myopia. Economic and social factors can affect parents' attitude towards myopia and their supervision and management of children's eye use behavior, and parents who pay attention to myopia will limit their children's video time 14. Parental myopia has a certain predictive effect on myopia in children 15. This survey also found that the self-reported myopia rate of students with myopia in one or both parents was significantly higher than that of students without myopia in both parents, and the shared environmental factors could not be ignored while family members shared genetic genes.

Early school hours in the morning and delayed time to bed at night caused by post-school homework and academic tasks resulted in reduced sleep length in children and adolescents. The results of this cross sectional study showed that the short sleep duration (< 7 h/d at night) was associated with myopia in children and adolescents with compared with students with sleep time ≥ 8–9 h/d at night. Late sleep allows children and adolescents to be exposed to artificial lighting for longer periods of time and spend more time indoors performing near tasks, such as reading or video screens, thus increasing the risk of myopia occurrence 16. Blue light from smart phones, computers, and television also inhibits melatonin secretion and disturbs circadian rhythms, making it difficult for children and adolescents to fall asleep and enter a stable sleep state 17. The use of artificial lighting and electronic screens in the dark at night can disturb the circadian clock and then affect circadian rhythms, which may be the underlying mechanism of myopia.

As in adults, children have significant circadian fluctuations in 24-hour corneal thickness and refractive rate, axial length, retinal thickness, choroidal thickness, intraocular pressure, and mean ocular perfusion pressure 18. Animal experiments revealed that 2 hours of light exposure at midnight (0:00–2:00) could lead to changes in the circadian rhythm of axial length and choroidal thickness, and chicks showed “acute” axial growth lasting at least 6 hours after light exposure, suggesting that circadian rhythm disturbances may lead to myopia 19. Circadian rhythm disorders can interfere with the normal development of the eyeball and affect the rate of eyeball growth, leading to the development of myopia20. Sleep deprivation can cause down-regulation of dopamine D2 receptors in the ventral striatum of humans, resulting in reduced activation of retinal dopaminergic pathways, which in turn leads to axial elongation, triggering myopia 21.

This investigation also found that not getting up at a fixed time in the morning, not going to bed at night, putting off sleeping and getting up on weekends can increase the risk of myopia development among children and adolescents. Bright light in the morning will advance the circadian clock of body and converge to early skylarks (early morning type); while bright light at night will delay the circadian clock and converge to staying up late owls (night type). The results of Chakraborty R et al. showed that the urinary aMT6s melatonin level in the myopic group (29.17 ± 18.67) was significantly lower than that in the emmetropic group (42.51 ± 23.97, p = 0.04), and myopic patients showed a significant delay in falling asleep, prolonged sleep latency, shorter sleep duration, and a tendency to night-type 22. The generation and maintenance of the circadian rhythm is the result of a series of gene regulations related to the circadian clock 23. Animal experiments have confirmed that knockout of the circadian clock gene can lead to changes in ocular parameters. Specific knockout of the mouse retinal Bmal1 circadian clock gene can cause prolonged axial and intravitreal length and then induce myopia, and knockout of the Drosophila Cyc and Per circadian clock genes can cause pseudomorphic pyramidal cell lengthening and then induce myopia 24. Further exploration of the association between sleep, social jet lag and myopia should be further strengthened. Sleep status may be an important entry point for the prevention and control of myopia in children and adolescents. The prevention and control of myopia not only needs to ensure adequate sleep time, but also develop good habits of regular.

Strengths of the cross-sectional study include a relatively large sample size that adjusted for potential confounders, as well as the fact that this is the first cross study investigating the effects of sleep duration and social jet lag on myopia incidence in children and adolescent. However, our study also had limitations. The main weakness of our investigation was that personal information about myopia was obtained by self-report through questionnaires instead of employing cycloplegic autorefraction for definitive diagnosis. In addition, causal inferences can not be made from cross-sectional studies, and more in-depth cohort studies should to be conducted to evaluate the effect of sleep status on myopia in children and adolescents.

Declarations

Acknowledgement

The authors thank all children, adolescents and their families for participating this study.

Author’s contributions

ZZ, YZ, SX and FT conceived and planned this study and take full responsibility for the paper. ZZ, YZ, RW and XW contributed to the analysis and interpretation of the data. ZZ took the lead in writing the manuscript. SX and FT supervised this study and contributed to revision of the paper. All authors read and approved the final manuscript.

Consent for publication

Not applicable

Competing interests

The authors report no conflicts of competing.

Ethics approval and consent to participate

We abided by the guidelines of the Declaration of Helsinki and this study was approved by the biomedical ethics committee of Anhui Medical University (No. 2140104), and the investigation obtained the informed consent of the guardian of the respondents.

Data available statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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