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Table 1 Myopia Prevalence by Sociodemographic Variables, Univariable Logistic Regression Analysis

From: Association of Myopia with cognitive function among one million adolescents

VariableAdolescents with Myopia, No./Total No. (%)P Value
GenderFemale154857/452874 (34.2)<.001
Male174016/569551 (30.6)
Country of originWestern98543/296049 (33.3)<.001
North-African81563/278154 (29.3)
Asia92034/268265 (34.3)
Former USSR26481/82488 (32.1)
Ethiopia1697/8927 (19.0)
Israel28555/88542 (32.3)
Socioeconomic statusaLow81185/235072 (34.5)<.001
Medium169265/546684 (31.0)
High78423/240669 (32.6)
Years of education< 92478/12793 (19.4)<.001
10–1113632/53825 (25.3)
> 12312763/955807 (32.7)
BMIbUnderweight33874/100070 (33.9)<.001
Normal weight250232/787254 (31.8)
Overweight28127/86113 (32.7)
Obese16640/48988 (34.0)
HeightcShort19128/54717 (35.0)<.001
Normal298836/934926 (32.0)
Tall10909/32782 (33.3)
Total328873/1022425 (32.2) 
  1. Abbreviations: USSR Union of Soviet Socialist Republics, BMI Body mass index
  2. aAccording to the Israeli Ministry of Interior classification: low (1st-4th deciles), medium (5th–7th deciles) and high (8th–10th deciles)
  3. bBody mass index. Sex- and Age- (by months) adjusted percentiles of BMI and height according to the United States Centers for Disease Control and Prevention (CDC) 2000 growth charts. BMI classification: underweight (BMI <5th percentile), normal weight (5th percentile < BMI < 85th), overweight (85th percentile < BMI < 95th), and obese (BMI > 95th percentile)
  4. cHeight classification: short (Height < 5th percentile), normal (5th percentile < Height < 95th), and tall (Height > 95th percentile)