Skip to main content

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

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

Variable

Adolescents with Myopia, No./Total No. (%)

P Value

Gender

Female

154857/452874 (34.2)

<.001

Male

174016/569551 (30.6)

Country of origin

Western

98543/296049 (33.3)

<.001

North-African

81563/278154 (29.3)

Asia

92034/268265 (34.3)

Former USSR

26481/82488 (32.1)

Ethiopia

1697/8927 (19.0)

Israel

28555/88542 (32.3)

Socioeconomic statusa

Low

81185/235072 (34.5)

<.001

Medium

169265/546684 (31.0)

High

78423/240669 (32.6)

Years of education

< 9

2478/12793 (19.4)

<.001

10–11

13632/53825 (25.3)

> 12

312763/955807 (32.7)

BMIb

Underweight

33874/100070 (33.9)

<.001

Normal weight

250232/787254 (31.8)

Overweight

28127/86113 (32.7)

Obese

16640/48988 (34.0)

Heightc

Short

19128/54717 (35.0)

<.001

Normal

298836/934926 (32.0)

Tall

10909/32782 (33.3)

Total

328873/1022425 (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)