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Table 1 Distribution of myopia and high myopia in different regions

From: Design, methodology, and baseline of whole city-million scale children and adolescents myopia survey (CAMS) in Wenzhou, China

 

Count

SE, mean (SD) (D)

Likely myopia (95% CI)

Myopia (95% CI)

High myopia (95% CI)

Region

 Urban area

777,779

− 1.93 (2.16)

6.82% (6.77%–6.88%)

58.64% (58.53%–58.75%)

5.05% (5.00%–5.10%)

 Rural area

160,275

− 1.5 (1.96)

7.55% (7.42%–7.68%)

50.30% (50.05%–50.54%)

3.12% (3.03%–3.20%)

 Unknown

64,572

− 0.89 (1.61)

7.26% (7.06%–7.46%)

35.80% (35.43%–36.17%)

1.22% (1.14%–1.31%)

Location

 Luchenga

98,953

− 1.49 (2.02)

6.87% (6.71%–7.03%)

49.24% (48.93%–49.55%)

3.35% (3.24%–3.47%)

 Longwana

71,287

− 1.79 (2.14)

7.24% (7.05%–7.43%)

55.61% (55.24%–55.97%)

4.67% (4.52%–4.83%)

 Ouhaia

80,964

− 1.8 (2.17)

6.68% (6.51%–6.86%)

54.68% (54.34%–55.03%)

4.91% (4.77%–5.06%)

 Dongtoua

13,927

− 1.98 (2.19)

6.74% (6.33%–7.16%)

59.80% (58.98%–60.61%)

5.39% (5.02%–5.77%)

 Yongjiab

98,243

− 1.78 (2.09)

6.46% (6.31%–6.62%)

55.02% (54.71%–55.34%)

4.22% (4.09%–4.34%)

 Pingyangb

96,957

− 1.92 (2.15)

6.35% (6.19%–6.50%)

57.01% (56.70%–57.32%)

4.75% (4.62%–4.89%)

 Cangnanb

165,083

− 1.88 (2.13)

7.26% (7.14%–7.39%)

57.42% (57.18%–57.65%)

4.81% (4.71%–4.91%)

 Wenchengb

24,214

− 1.75 (2.06)

7.99% (7.65%–8.33%)

55.62% (54.99%–56.24%)

4.20% (3.94%–4.45%)

 Taishunb

32,335

− 1.65 (1.99)

7.56% (7.28%–7.85%)

53.73% (53.19%–54.27%)

3.43% (3.23%–3.62%)

 Ruianc

150,508

− 1.85 (2.14)

6.86% (6.74%–6.99%)

56.69% (56.44%–56.94%)

4.76% (4.65%–4.87%)

 Yueqingc

170,155

− 1.82 (2.12)

7.25% (7.13%–7.38%)

57.91% (57.67%–58.14%)

4.51% (4.42%–4.61%)

  1. SE spherical equivalent; SD standard deviation; CI confidence interval
  2. aDistrict
  3. bCountry
  4. cCountry-level city