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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