Background
Methods
Study population
Interview and data collection
Clinical examination and definition
Statistical analysis
Results
Myopia (SE < −0.5D) | Myopia (SE < −0.75D) | Myopia (SE < −1.0D) | Myopia (SE < −5.0D) | Myopia (SE < −6.0D) | ||
---|---|---|---|---|---|---|
N (%) | n(%, 95% CI) | n(%, 95% CI) | n(%, 95% CI) | n(%, 95% CI) | n(%, 95% CI) | |
Total | 4795 | 1010 | 827 | 683 | 121 | 97 |
Crude rate | – | 21.1, 19.9-22.2 | 17.2, 16.2-18.3 | 14.2, 13.3-15.2 | 2.5, 2.1-2.9 | 2.0, 1.6-2.4 |
Age-standard ratea
| – | 23.5, 22.3-24.7 | 19.7, 18.6-20.8 | 16.5, 15.4-17.5 | 2.7, 2.2-3.1 | 2.1, 1.7-2.5 |
Gender | ||||||
Male | 2331 | 414 | 336 | 282 | 46 | 36 |
48.6 | 17.8, 16.2-19.3 | 14.4, 13.0-15.8 | 12.1, 11.8-13.4 | 2.0, 1.4-2.5 | 1.5, 1.0-2.0 | |
Female | 2464 | 596 | 491 | 401 | 75 | 61 |
51.4 | 24.2, 22.5-25.9 | 19.9, 18.4-21.5 | 16.3, 14.8-17.7 | 3.0, 2.4-3.7 | 2.5, 1.9-3.1 | |
Age group,y | ||||||
60-64 | 1950 | 308 | 228 | 179 | 37 | 32 |
40.7 | 15.8, 14.2-17.4 | 11.7, 10.3-13.1 | 9.2, 7.9-10.5 | 1.9, 1.3-2.5 | 1.6, 1.1-2.2 | |
65-69 | 1364 | 230 | 118 | 144 | 31 | 28 |
28.4 | 16.7, 14.9-18.9 | 13.8, 12.0-15.6 | 10.6, 8.9-12.2 | 2.3, 1.5-3.1 | 2.1, 1.3-2.8 | |
70-74 | 698 | 159 | 136 | 120 | 25 | 17 |
14.6 | 22.8, 19.7-25.9 | 19.5, 16.5-22.4 | 17.2, 14.4-20.0 | 3.6, 2.2-5.0 | 2.4, 1.3-3.6 | |
75-79 | 493 | 187 | 159 | 139 | 18 | 16 |
10.3 | 37.9, 33.6-42.2 | 32.3, 18.1-36.4 | 28.2, 24.2-32.2 | 3.5, 2.0-5.3 | 3.2, 1.7-4.8 | |
80 and older | 290 | 126 | 116 | 101 | 10 | 4 |
6.0 | 43.5, 37.7-49.2 | 40.0, 34.3-45.7 | 34.8, 29.3-40.3 | 3.4, 1.3-5.6 | 1.4, 0.0-2.7 |
Study | Age groups, (%) | |||
---|---|---|---|---|
60-69 | 70-79 | 80 + | all | |
Myopia (SE < −0.5D) | ||||
Suzhou(Our study) | 16.2 | 29.1 | 43.5 | 21.1 |
Guangzhou [27] | 31.1 | 31.3 | 46.7 | 32.6 |
Handan [21] | 14.4 | 34.3 | 42.9 | 21.4 |
Beijing [20] | NAa
| NA | NA | 21.8 |
Harbin [22] | 11.3 | 12.8 | 9.5 | |
Taiwan [26] | 12.8 | 21.6 | 23.3 | 18.3 |
Singaporean Chinese [29] | 30 | 27 | 35.0 | |
Hon Kong [28] | NA | NA | NA | 41.1 |
High Myopia (SE < −5.0D) | ||||
Suzhou(Our study) | 2.1 | 3.6 | 3.4 | 2.5 |
Guangzhou [27] | 6.6 | 3.4 | 1.3 | 4.7 |
Handan [21] | 2.4 | 4.5 | 6.1 | 3.1 |
Beijing [20] | NA | NA | NA | 3.3 |
Harbin [22] | NA | NA | NA | 1.4 |
Taiwan [26]b
| 1.9 | 2.6 | 1.4 | 2.3 |
Singaporean Chinese [29] | NA | NA | NA | 8.2 |
Hon Kong [28] | 6.6 | 4.4 | 6.9 |
Myopia (SE < −0.5D) | High Myopia (SE < −5.0D) | |||||
---|---|---|---|---|---|---|
Beta | OR (95% CI) |
p
| Beta | OR (95% CI) |
p
| |
Age, y | 0.07 | 1.08 (1.07-1.09) |
<0.001
| 0.04 | 1.04 (1.01-1.07) |
0.004
|
Gender | ||||||
Male | 0 | 1 | 0 | 1 | ||
Female | 0.39 | 1.48 (1.28-1.70) |
<0.001
| 0.44 | 1.56 (1.08-2.26) | 0.12 |
Educational Level | ||||||
Illiterate or no education | 0 | 1 | 0 | 1 | ||
Primary education | −0.45 | 0.64 (0.55-0.75) |
<0.001
| −0.23 | 0.79 (0.54-1.17) | 0.24 |
Secondary education and above | −0.46 | 0.63 (0.51-0.79) |
<0.001
| 0.64 | 0.51 (0.26-1.01) | 0.05 |
Occupation | ||||||
Peasants | 0 | 1 | 0 | 1 | ||
Workers | −0.40 | 0.67 (0.57-0.79) |
<0.001
| −0.83 | 0.44 (0.26-0.72) |
0.001
|
Professionals | −0.83 | 0.44 (0.28-0.69) |
<0.001
| −0.10 | 0.90 (0.36-2.26) | 0.83 |
Managers | −0.84 | 0.43 (0.20-0.91) |
0.03
| −0.73 | 0.48 (0.07-3.53) | 0.47 |
Teachers | −0.23 | 0.80 (0.42-1.51) | 0.48 | 1.27 | 3.56 (1.49-8.51) |
0.004
|
Civil servants | 0.13 | 1.13 (0.36-3.57) | 0.83 | −19.12 | – | 1.00 |
unknown | −0.45 | 0.64 (0.49-0.83) |
0.001
| −0.52 | 0.60 (0.29-1.24) | 0.12 |
Individual monthly income | ||||||
Less than ¥1000 | 0 | 1 | 0 | 1 | ||
¥1001-4000 | −0.36 | 0.70 (0.60-0.81) |
<0.001
| −0.21 | 0.81 (0.55-1.20) | 0.29 |
More than ¥4000 | −0.53 | 0.59 (0.38-0.92) |
0.020
| 0.18 | 1.20 (0.48-3.01) | 0.70 |
Marital status | ||||||
Married | 0 | 1 | 0 | 1 | ||
Single /Divorce /Widowed | 0.42 | 1.53 (1.28-1.82) |
<0.001
| 0.10 | 1.11 (0.69-1.79) | 0.67 |
Housing area, m2
| ||||||
Less than 80 | 0 | 1 | 0 | 1 | ||
80-130 | −0.40 | 0.67 (0.53-0.84) |
0.001
| −0.52 | 0.59 (0.32-1.11) | 0.10 |
More than 130 | −0.31 | 0.73 (0.62-0.86) |
<0.001
| −0.26 | 0.77 (0.51-1.16) | 0.21 |
Smoking | ||||||
Never | 0 | 1 | 0 | 1 | ||
Past | −0.32 | 0.73 (0.56-0.95) |
0.02
| −0.15 | 0.86 (0.44-1.67) | 0.66 |
Current | −0.36 | 0.70 (0.59-0.82) |
<0.001
| −0.39 | 0.68 (0.43-1.07) | 0.10 |
Alcohol consumption | ||||||
No | 0 | 1 | 0 | 1 | ||
Yes | −0.49 | 0.62 (0.51-0.74) |
<0.001
| −0.25 | 0.78 (0.50-1.24) | 0.30 |
Tea drinking | ||||||
No | 0 | 1 | 0 | 1 | ||
Yes | −0.42 | 0.66 (0.56-0.77) |
<0.001
| −0.38 | 0.69 (0.46-1.03) | 0.07 |
Time for sleeping per night,h | 0.22 | 1.25 (1.19-1.31) |
<0.001
| 0.19 | 1.21 (1.08-1.36) |
0.002
|
Sleep quality | ||||||
Well | 0 | 1 | 0 | 1 | ||
Poor | 0.08 | 1.08 (0.85-1.37) | 0.52 | 0.33 | 1.40 (0.81-2.42) | 0.23 |
Time for watching television per day,h | −0.17 | 0.84 (0.80-0.89) |
<0.001
| −0.30 | 0.74 (0.63-0.87) |
<0.001
|
Time for playing computer per day,h | −0.07 | 0.93 (0.76-1.14) | 0.50 | −0.04 | 0.96 (0.58-1.61) | 0.89 |
Time for outdoor activities per day,h | −0.03 | 0.97 (0.94-1.01) | 0.12 | 0.002 | 1.00 (0.91-1.10) | 0.97 |
Vegetarian | 0.14 | 1.15 (0.67-1.95) | 0.62 | 0.03 | 1.03 (0.25-4.25) | 0.97 |
Family history of myopia | 0.26 | 1.29 (1.09-1.53) |
0.003
| 0.14 | 1.15 (0.74-1.80) | 0.54 |
Hypertension | 0.16 | 1.18 (1.00-1.38) | 0.05 | 0.02 | 1.02 (0.68-1.55) | 0.91 |
Diabetes | −0.13 | 0.88 (0.70-1.10) | 0.25 | −0.39 | 0.68 (0.35-1.31) | 0.25 |
Cataract | 0.64 | 1.90 (1.65-2.19) |
<0.001
| 0.83 | 2.30 (1.56-3.39) |
<0.001
|
Myopia (SE < −0.5D) | High Myopia (SE < −5.0D) | |||||
---|---|---|---|---|---|---|
B | OR (95% CI) |
p
| B | OR (95% CI) |
p
| |
Age, y | 0.05 | 1.05 (1.04-1.07) |
<0.001
| 0.00 | 1.00 (0.97-1.04) | 0.86 |
Gender | ||||||
Male | 0 | 1 | 0 | 1 | ||
Female | 0.21 | 1.26 (0.98-1.56) | 0.08 | −0.41 | 0.67 (0.36-1.24) | 0.20 |
Educational Level | ||||||
Illiterate or no education | 0 | 1 | 0 | 1 | ||
Primary education | −0.17 | 0.85 (0.71-1.00) | 0.05 | 0.00 | 1.00 (0.65-1.55) | 0.99 |
Secondary education and above | −0.19 | 0.82 (0.63-1.08) | 0.15 | 1.02 | 2.77 (1.11-6.94) |
0.03
|
Occupation | ||||||
Peasants | 0 | 1 | 0 | 1 | ||
Workers | −0.07 | 0.93 (0.78-1.12) | 0.45 | 0.66 | 1.93 (1.12-3.31) | 0.02 |
Professionals | −0.53 | 0.59 (0.36-0.95) |
0.03
| −0.30 | 0.74 (0.28-2.00) | 0.56 |
Managers | −0.48 | 0.62 (0.29-1.34) | 0.22 | 0.28 | 1.32 (0.18-10.02) | 0.79 |
Teachers | −0.14 | 0.87 (0.42-1.79) | 0.70 | −2.03 | 0.13 (0.04-0.46) |
0.002
|
Civil servants | 0.35 | 1.42 (0.42-4.79) | 0.57 | 18.32 | – | 0.999 |
unknown | −0.11 | 0.9 (0.68-1.19) | 0.45 | 0.33 | 1.39 (0.65-2.96) | 0.40 |
Individual monthly income | ||||||
Less than ¥1000 | 0 | 1 | 0 | 1 | ||
¥1001-4000 | 0.14 | 1.15 (0.97-1.37) | 0.11 | −0.17 | 0.84 (0.54-1.31) | 0.44 |
More than ¥4000 | 0.17 | 1.18 (0.72-1.95) | 0.52 | −0.31 | 0.73 (0.24-2.25) | 0.59 |
Marital status | ||||||
Married | 0 | 1 | 0 | 1 | ||
Single /Divorce /Widowed | −0.08 | 0.92 (0.75-1.12) | 0.41 | 0.26 | 1.29 (0.77-2.18) | 0.34 |
Housing area, m2
| ||||||
Less than 80 | 0 | 1 | 0 | 1 | ||
80-130 | −0.15 | 0.86 (0.67-1.09) | 0.21 | 0.44 | 1.55 (0.81-2.95) | 0.19 |
More than 130 | −0.04 | 0.96 (0.81-1.14) | 0.65 | 0.11 | 1.12 (0.73-1.73) | 0.61 |
Smoking | ||||||
Never | 0 | 1 | 0 | 1 | ||
Past | 0.19 | 1.21 (0.94-1.56) | 0.13 | −0.21 | 0.81 (0.41-1.61) | 0.55 |
Current | 0.09 | 1.09 (0.79-1.51) | 0.58 | −0.29 | 0.75 (0.33-1.69) | 0.48 |
Alcohol consumption | ||||||
No | 0 | 1 | 0 | 1 | ||
Yes | −0.22 | 0.80 (0.65-1.00) | 0.05 | −0.17 | 0.84 (0.48-1.49) | 0.55 |
Tea drinking | ||||||
No | 0 | 1 | 0 | 1 | ||
Yes | −0.19 | 0.83 (0.69-1.00) | 0.05 | 0.28 | 1.32 (0.81-2.15) | 0.27 |
Time for sleeping per night,h | 0.11 | 1.12 (1.06-1.18) |
<0.001
| −0.16 | 0.85 (0.74-0.97) |
0.02
|
Family history of myopia | ||||||
No | 0 | 1 | 0 | 1 | ||
Yes | 0.39 | 1.47 (1.23-1.77) |
<0.001
| −0.33 | 0.72 (0.45-1.14) | 0.16 |
Cataract | ||||||
No | 0 | 1 | 0 | 1 | ||
Yes | 0.47 | 1.60 (1.36-1.88) |
<0.001
| −0.87 | 0.42 (0.27-0.65) |
<0.001
|