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. 2018 Apr 26;8:6569. doi: 10.1038/s41598-018-24822-0

Table 1.

Frequency of visual impairment according to characteristics of participants (n = 38 903).

Characteristics Number of participants Visual impairment n (%) Age and sex adjusted P valuea
Overall 38 903 228 (0.59)
Sociodemographic characteristics
Age, year <0.0001
  [18–30] 5 953 13 (0.22)
  [30–40] 7 452 16 (0.21)
  [40–50] 8 820 26 (0.29)
  [50–60] 8 513 59 (0.69)
  [60–70] 7 833 107 (1.37)
  ≥70 332 7 (2.11)
Sex 0.09
  Male 18 333 99 (0.54)
  Female 20 570 129 (0.63)
Educational level 0.005
  ≤Primary school 3 080 37 (1.20)
  Secondary school 5 783 46 (0.80)
  High school 6 902 41 (0.59)
  ≤Bachelor level 10 165 46 (0.45)
  ≥Master level or equivalent 12 973 58 (0.45)
Monthly Income, euros/household <0.0001
  <1500 4 205 65 (1.55)
  1500–2800 10 291 60 (0.58)
  2800–4200 11 395 50 (0.44)
  ≥4200 10 902 43 (0.39)
  No answer 2 110 10 (0.47)
Related diseases
Diabetes 0.26
  No 37 293 212 (0.57)
  Yes 1 610 16 (0.99)
Hypertension 0.38
  No 28 627 137 (0.48)
  Yes 10 276 91 (0.89)
Hypercholesterolemia 0.49
No 28 048 134 (0.48)
Yes 10 855 94 (0.87)
Body mass index, kg/m² 0.31
  <25 22 734 112 (0.49)
  25–30 11 656 85 (0.73)
  ≥30 4 513 31 (0.69)
Alcohol consumption 0.09
  Never or light drinkers 14 378 86 (0.60)
  Moderate drinkers 18 526 98 (0.51)
  Heavy drinkers 4 676 36 (0.90)
  No answer 1 323 8 (0.60)

ap from mixed logistic regression model adjusted for age and sex with random intercept for inclusion center.