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Erschienen in: BMC Ophthalmology 1/2017

Open Access 01.12.2017 | Research article

Prevalence of and Factors Associated with Myopia in Inner Mongolia Medical Students in China, a cross-sectional study

verfasst von: Lan Wang, Maolin Du, He Yi, Shengyun Duan, Wenfang Guo, Peng Qin, Zhihui Hao, Juan Sun

Erschienen in: BMC Ophthalmology | Ausgabe 1/2017

Abstract

Background

To further explore characteristics of myopia and changes in factors associated with myopia among students at Inner Mongolia Medical University.

Methods

Two cross-sectional censuses were conducted in 2011 and 2013. Participants were medical students residing on campus in 2011 and 2013. Logistic regression analysis was performed to ascertain associations with basic information, genetic factors, environmental factors. The χ2 test was used to test for differences in prevalence between 2011 and 2013. Prevalence was calculated at various myopia occurrence times among different parental myopia statuses.

Results

A total of 11,138 students enrolled from 2007 to 2012 completed the questionnaire. The prevalence of myopia in 2011 and 2013 was 70.50% and 69.21%, respectively, no statistically significant difference existed between the two censuses (p = 0.12). Both censuses were completed by 1015 students. There were no differences among the various year of study in 2011 or 2013. Myopic prevalence increased with an increased number of myopic parents: the prevalence if both parents were myopic was over 90%, nearly 80% if one parent was myopic, and less than 70% with non-myopic parents (p < 0.001). Myopic occurrence ranked from earliest to latest was in kindergarten and primary school when both parents were myopic, in middle school when one parent was myopic, and in university when no parent was myopic. Students staying up late, using a computer more than 3 h per day, not performing eye exercises, using eye drops, and rubbing the eyes at high risk for myopia.

Conclusions

Myopic status was stable during the university period. Genetic factors play a major role in myopia. Protective measures are useful for university students.

Background

Myopia is a significant public health problem and its prevalence is increasing over time [1]. By the year 2020, it is estimated that 2.5 billion people – one-third of the world’s population – will be affected by myopia [2]. Furthermore, the prevalence of myopia has been shown to vary widely with geographic location3. In European and North American adult populations, the prevalence of myopia is reported to be between 20% and 40% [3, 4]. In Asia, the prevalence of myopia among teenagers and young adults exceeds 70% [5, 6].
The etiology of myopia is multifactorial and both genes and the environment play important roles [7, 8]; myopia results from complex genetics [2, 912]. It has been shown that in young adults, education appear to cause increases in axial length and shifts toward increased myopia [13]. The high prevalence of myopia and high numbers of myopic university students pose particularly important public health and social problems [14]. Ocular risks associated with myopia should not be underestimated, and there is a public health need to prevent myopia onset and progression.
Based on the above research, there have been numerous studies both on myopia prevalence and associated factors. Therefore, we used a large sample to confirm the prevalence of myopia and factors associated with myopia among all students at an Inner Mongolian medical university.

Methods

Data source

Cross-sectional censuses of the physical and mental health of university students were conducted in 2011(6044) and 2013(6109) among medical students residing on campus at the Inner Mongolia Medical College of China. The censuses included students enrolled from 2007 to 2012, covering 6 years. Some students (1015) resided on campus in 2011 and 2013; therefore, they participated in both censuses. The total number of students is 11,138. In our school system, some students reside at school for 3 years, and others reside at school for 4 years [15]; therefore, we conducted the census twice. The two censuses employed a self-administered questionnaire. To make data expression clearer, we defined the factors newly appear in this paper, except those which had been defined in our previous studies [11, 1517]. We also conducted a pre-survey to determine whether each factor could be accurately understood by the students and the factors which are easy to confound the data were modified. We also explained these factors in detail to the students in our census. The test-retest reliability was 0.96, which was calculated through a randomly sampled 100 students in the census [15].

Census contents

Subjects evaluated as myopic were those who used myopic spectacles or contact lenses to look at objects and gave details about the age at which they started to wear spectacles or contact lenses [18].
We investigated factors including basic information: area (urban/rural), year of study (1, 2, 3, 4 and 5), and sex (male/female); genetic factors: family members’ myopic statuses (both parents, one parent, or no parent); and environmental factors: if they frequently see green (yes/no), perform eye exercises (insist on performing/ sometimes /rarely/ will not perform), use eye drops (yes/no), have an inadequate diet (yes/no), take breaks after reading 1 h (yes/no), use a lamp (yes/no), stay up late (yes/no), are affected by people around them staying up late (yes/no), stay up late for homework (yes/no), stay up late for study section review (yes/no), stay up late because of pressure to study (yes/no), search for information online (yes/no), when they started using a computer (primary school, high school, university), how often they used a computer (every day, 2–4 times a week, 1 time per week, almost none), how long they used a computer per day (less than 1 h, 1–3 h, more than 3 h), bedtime (before 22:00, 22:00–00:00, after 00:00, no regular time), read for long durations (yes/no), read while lying down (yes/no), read under dim light (yes/no), suffer from depression (yes/no), and if they rubbed their eyes (yes/no).
The dim light was lighting levels be below 30 footcandles (incandescent light bulbs below 40w) where the students usually reads and writes [19]. Participants excluded from the analyses included those reporting a history of cataract and/or glaucoma.

Statistical analysis

The chi-squared test was used to test for differences in myopic prevalence between 2011 and 2013 in relation to various parameters. Because there was no significant difference in myopia prevalence between 2011 and 2013, we explored factors related to myopia prevalence by merging the two censuses. Prevalence was calculated for each investigated factor and various myopia occurrence times among students according to different parental myopia statuses. Multiple-factor non-conditional logistic regression analysis was used to evaluate the significance of each factor of myopia after adjusted for possible confounding factors. Dependent variables fell into two categories: myopic and non-myopic. Independent variables on the dependent variable in the model included all investigated factors. The odds ratio (OR) and corresponding 95% CI were calculated. In the model, ORs >1.0 designated increased myopic risk and ORs <1.0 indicated protective factors.
Microsoft Excel and SPSS 13.0 statistical software were used for data management and analysis. A statistical significance level of p ≤ 0.05 was used throughout the study.

Results

A total of 11,138 students enrolled from 2007 to 2012 completed the questionnaire, of whom 7980 (27.3%) were men and 3149 (72.7%) were women. The mean age of the participants was 21.08 ± 1.57. The prevalence of myopia in 2011 and 2013 was 70.50 and 69.21, respectively, and no statistically significant difference existed between the two censuses (χ2 = 2.4, p = 0.12). One thousand fifteen students participated in both censuses, in which 694 myopic students were assessed in 2011, and only four myopic students were added in 2013.
Table 1 shows the baseline characteristics of the study participants and prevalence of myopia in relation to each census item. There was no difference among the various year of study in 2011 or 2013. Students’ myopic prevalence when both parents were myopic was over 90%; the prevalence when one parent was myopic was nearly 80%; and the prevalence when both parents were non-myopic was less than 70% (χ2 trend test = 18.23, p < 0.001). Myopic prevalence increased with an increased number of myopic parents according to the χ2 trend test. The prevalence of myopia was higher among women living in the city. The prevalence of myopia was also higher among students with staying up late, using a computer, lack of concern for eye health, lying down while reading, reading for a long duration, and going to bed after 10:00.
Table 1
Prevalence of myopia among Inner Mongolia Medical University students in relation to various parameters
Variable
N = 11,138
n = 7814
prevalence
χ2
P
Basic Information
 Sex
   
77.91
0.000
 female
7980
5792
72.58
  
 male
3149
2018
64.08
  
 Area
   
76.89
0.000
 Rural
6877
4622
67.21
  
 Urban
4239
3181
75.04
  
 Year of study
   
7.35
0.118
 1
4276
2990
69.93
  
 2
3935
2755
70.01
  
 3
2260
1615
71.46
  
 4
513
361
70.37
  
 5
142
87
61.27
  
Genetic factors
 Family members’ myopia statuses
 
18.23
0.000
 both parents
245
221
90.20
  
 one parent
1448
1138
78.59
  
 no parent
9445
6455
68.34
  
Environmental factors
 Often see green
   
0.73
0.390
 No
4221
368
8.72
  
 Yes
6915
636
9.20
  
 Perform eye exercises
   
74.83
0.000
 Insist on performing
325
181
55.69
  
 Sometimes
3581
2399
66.99
  
 Rarely
6522
4755
72.91
  
 Will not perform
699
475
67.95
  
 Eye drops
   
38.66
0.000
 No
5993
4055
67.66
  
 Yes
5143
3758
73.07
  
 People around them stay up late
 
4.15
0.042
 No
6957
4833
69.47
  
 Yes
4177
2978
71.30
  
 Inadequate diet
   
8.67
0.003
 No
4748
3261
68.68
  
 Yes
6382
4548
71.26
  
 Take a break after reading 1 h
 
165.41
0.000
 No
8722
6375
73.09
  
 Yes
2416
1439
59.56
  
 Use a lamp
   
103.54
0.000
 No
2224
1364
61.33
  
 Yes
8913
6450
72.37
  
 Habit of staying up late
  
30.95
0.000
 No
5330
3607
67.67
  
 Yes
5797
4203
72.50
  
 Stay up late for homework
  
9.61
0.002
 No
5398
3712
68.77
  
 Yes
5735
4098
71.46
  
 Stay up late for study section review
1.67
0.195
 No
7869
5492
69.79
  
 Yes
3265
2319
71.03
  
 Stay up late because of pressure to study
 
0.81
0.370
 No
6023
4717
78.32
  
 Yes
5111
3640
71.22
  
 Search for information online
  
17.01
0.000
 No
3200
2155
67.34
  
 Yes
7936
5658
71.30
  
 When they started using a computer
 
3.48
0.180
 Primary school
1118
804
71.91
  
 High school
5470
3860
70.57
  
 University
4532
3143
69.35
  
 Frequency of computer use
  
3.1
0.380
 Every day
3359
2344
69.78
  
 2–4 times a week
4025
2814
69.91
  
 1 time per week
2206
1544
69.99
  
 Almost none
1537
1108
72.09
  
 Computer use per day
 
4.17
0.125
 Less than 1 h
3270
2338
71.50
  
 1–3 h
6098
4259
69.84
  
 More than 3 h
1753
1210
69.02
  
 Bedtime
   
31.04
0.000
 Before 10:00
283
157
55.48
  
 10:00–12:00
8156
5776
70.82
  
 After 12:00
1961
1367
69.71
  
 No rule
730
511
70.00
  
 Read for long durations
  
1586.92
0.000
 No
5906
3250
55.03
  
 Yes
5086
4557
89.60
  
 Read while lying down
   
9.26
0.002
 No
2246
1517
67.54
  
 Yes
8886
6294
70.83
  
 Read under dim light
  
3.84
0.050
 No
2374
1627
68.53
  
 Yes
8758
6184
70.61
  
 Depression
   
8.32
0.004
 No
5270
3628
68.84
  
 Yes
5860
4181
71.35
  
 Eye rubbing
   
19.04
0.000
 No
2752
1840
66.86
  
 Yes
8379
5970
71.25
  
Table 2 shows the myopia statuses of the students. The results suggest that nearly 80% began wearing spectacles in middle school. Regarding the type of glasses, more than 80% wore frame glasses and more than half chose them in an eyeglasses store. Among myopic students, 53.44% envied normal vision and 56.91% felt eye fatigue. The attitude of 60% of myopic students was open to trying treatment.
Table 2
The myopia statuses of students at Inner Mongolia Medical University
Category
n = 7814
prevalence
χ2
p
When they began wearing spectacles
  
17,197.49
0.000
Kindergarten
54
0.69
  
Primary school
687
8.79
  
Middle school
6108
78.17
  
University
965
12.35
  
Where they were fitted for spectacles
6525.73
0.000
Ophthalmic hospital
2968
37.98
  
Eyeglasses Store
5178
66.27
  
Both
332
4.25
  
Glasses Type
    
Contact lenses
278
3.56
18,286.13
0.000
Frame glasses
6476
82.88
  
Both
794
10.16
  
Do not wear glasses
385
4.93
  
Views on myopia
  
1983.44
0.000
Worried about genetics
2805
35.90
  
Lack of confidence
2076
26.57
  
Envy normal vision
4176
53.44
  
Eye fatigue
4447
56.91
  
Views on treating myopia
  
5201.18
0.000
Willing to try treatment
4681
59.91
  
No need to be overly concerned
2815
36.03
  
Do not care
427
5.46
  
We included all factors in binary logistic regression models (Table 3). Students with one or two myopic parents were at high risk for myopia. Women who lived in the city with staying up late, using a computer more than 3 h per day, not performing eye exercises, using eye drops, rubbing their eyes were at high risk for myopia. Taking a break after reading for 1 h and not reading under a dim lamp were protective factors.
Table 3
Results of the logistic regression analysis on myopia among medical students
 
P
OR
95% CI
Sex
 female
 
1
 
 male
0.000
0.64
0.58–0.71
Area
 Rural
 
1
 
 Urban
0.000
1.14
1.03–1.27
Family members’ myopia statuses
 father
0.000
1.71
1.41–2.08
 mother
0.001
1.37
1.13–1.67
Take a break after reading 1 h
 No
 
1
 
 Yes
0.000
0.56
0.50–0.63
Reading under a dim lamp
 No
 
1
 
 Yes
0.000
1.47
1.31–1.64
Habit of staying up late
 No
 
1
 
 Yes
0.000
1.16
1.06–1.27
Perform eye exercises
 Insist on performing
 
1
 
 Sometimes
0.13
0.77
0.56–1.08
 Rarely
0.72
1.04
0.84–1.28
 Do not perform
0.01
1.29
1.05–1.57
Computer use per day
 Less than 1 h
 
1
 
 1–3 h
0.00
1.33
1.14–1.55
 More than 3 h
0.03
1.16
1.01–1.34
Bedtime
 Before 10:00
 
1
 
 10:00–12:00
0.325
0.84
0.59–1.19
 After 12:00
0.123
1.16
0.96–1.41
 No rule
0.926
0.99
0.80–1.22
Often see green
 No
   
 Yes
0.001
1.17
1.06–1.29
Stay up to for search for information online
 
 No
   
 Yes
0.01
1.15
1.03–1.29
Eye rubbing
 No
   
 Yes
0.02
1.13
1.02–1.26
Eye drops
 No
   
 Yes
0.001
1.17
1.06–1.29
CI confidence interval
Table 4 shows the time at which myopia occurred among students with different parental myopia statuses. The occurrence time of student myopia was earliest in kindergarten and primary school when both parents were myopic. The occurrence time of student myopia ranked second in middle school when one parent was myopic. The occurrence time was latest in university when neither parent was myopic.
Table 4
Student myopia occurrence time among different parental myopia statuses
 
father
mother
both myopic
both non-myopic
Occurrence time
n
%
n
%
n
%
n
%
Kindergarten
5
0.82
2
0.38
2
0.90
45
0.70
Primary school
88
14.43
70
13.26
81
36.65
448
6.94
Middle school
501
82.13
437
82.77
129
58.37
5041
78.09
University
16
2.62
19
3.60
9
4.07
921
14.27
total
610
100.00
528
100.00
221
100.00
6455
100.00

Discussion

Compared with the reported prevalence of myopia among the general population in Western countries, the prevalence of myopia in our study was considerably higher [20, 21]. Compared with medical students in other countries, the prevalence of myopia in our study was also higher [22, 23].
We performed two censuses of all students residing on the university campus in 2011 and 2013. There was no statistically significant difference between the two censuses in myopic prevalence. Further, the myopic prevalence of students who participated in both censuses was nearly unchanged. The prevalence of myopia was not significantly different from year of study 1 to year of study 5 in 2011 or 2013. The results suggest that myopic status was stable and did not significantly change during the university period. A study among university students was consistent with our result [14]. The results may be explained by genetic factors. Students’ myopic prevalence when both parents were myopic, when one parent was myopic, and when both parents were non-myopic showed a dose-dependent relationship. It showed that the majority of myopia cases within populations are caused by hereditary factors. In addition, the occurrence time of student myopia was the earliest in kindergarten and primary school when both parents were myopic. The occurrence time of student myopia was second earliest in middle school when one parent was myopic. Student myopia occurred latest in university when no parent was myopic. It clarified that student myopia occurs earlier with an increased number of myopic parents. Several studies have suggested relationships between heredity and myopia [2, 9]. Our results are consistent with their conclusions and confirmed that people were more likely to develop myopia earlier because of heredity from myopic parents [9].
While genetic factors play a major role, environmental factors also play a role in lens thickness changes, but do not change myopic status [12]. A previous study confirmed that environmental change causes myopia [12]. We further explored myopia-related environmental factors among 11,138 students. In our study, taking a break after reading 1 h and not studying under a dim lamp had protective effects on eye health. It clarified that a healthy lifestyle played a protective role in university students. On the contrary staying up late, using a computer more than 3 h per day, not performing eye exercises, using eye drops, and rubbing the eyes could increase the thickness of the glasses. Moreover, it was demonstrated that some protective measures were useful for medical university students and could prevent further increases in the thickness of their glasses.

Conclusions

Myopic status was stable during the university period. Genetic factors play a major role in myopia. Taking a break after reading 1 h and not studying under a dim lamp had protective effects on eye health. Staying up late, using a computer more than 3 h per day, not performing eye exercises, using eye drops, and rubbing the eyes could increase the thickness of the glasses and all above can effectively change through education, so university administrators should provide systematic education to enhance it in university students.

Limitation

In our study, we did not perform an eye examination for all students; thus, “myopic” was defined according to the individual student’s report that they “myopic used spectacles or contact lenses either occasionally or frequently” during our study. Therefore, the prevalence of myopia may be lower because some slightly myopic students may choose not to wear glasses.

Funding

This study was supported by the Natural Science Foundation of Inner Mongolia in China, No. 2013MS1193.

Availability of data and materials

All the data supporting our findings is contained within the manuscript.

Authors’ contributions

The work presented here was carried out in collaboration between all authors. JS and MD defined the research theme and methods. LW designed the questionnaire, analyzed the data, interpreted the results, and wrote the paper. HY and SD co-worked on associated data collection and their interpretation. WG and PQ discussed analyses, interpretation, and presentation. ZH carried out the survey and also helped write the paper. All authors have read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.
Not applicable
The project was approved by the Ethical Committee of Inner Mongolia Medical University, and the reference number was “YKD2017289”; participants’ written informed consent was obtained.

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Metadaten
Titel
Prevalence of and Factors Associated with Myopia in Inner Mongolia Medical Students in China, a cross-sectional study
verfasst von
Lan Wang
Maolin Du
He Yi
Shengyun Duan
Wenfang Guo
Peng Qin
Zhihui Hao
Juan Sun
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Ophthalmology / Ausgabe 1/2017
Elektronische ISSN: 1471-2415
DOI
https://doi.org/10.1186/s12886-017-0446-y

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