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. 2017 Nov 21;16:202. doi: 10.1186/s12939-017-0685-9

Table 1.

Sample characteristics by gender, ages 25–64, distribution (%) or mean (SD), 2008–2012 Korean National Health and Nutrition Examination Survey (KNHANES), (N = 17,947)

Characteristics Total (N = 17,947) Women (N = 10,838) Men (N = 7109) p-value*
Weight status
 Underweight (BMI < 18.5) 4.0 5.7 2.4 0.00
 Normal weight (18.5 ≤ BMI < 23) 39.3 46.6 32.3
 Overweight (23 ≤ BMI < 27.5) 44.2 36.9 51.3
 Obese (27.5 ≤ BMI) 12.5 10.9 14.0
 BMI (continuous) 23.8 (3.4) 23.2 (3.5) 24.3 (3.2) 0.00
Self-perceived weight status
 Lighter than average 15.1 10.2 19.9 0.00
 Average 38.4 39.4 37.6
 Heavier than average 46.5 50.5 42.6
Self-rated health
 Poor 16.0 18.8 13.3 0.00
 Fair 45.5 45.9 45.2
 Good 38.4 35.3 41.4
Socio-demographic characteristics
 Educational attainment
  Middle school 21.0 25.3 16.9 0.00
  High school 39.8 40.6 39.0
  Some college and above 39.2 34.2 44.0
 Age 42.9 (10.6) 43.1 (10.6) 42.6 (10.6) 0.00
 Parent’s education
  No school 14.5 15.0 14.1 0.16
  Lower secondary 51.2 51.7 50.7
  Upper secondary/above 34.3 33.4 35.2
 Marital status
  Single 15.8 11.2 20.3 0.00
  Married 77.8 80.0 75.7
  Separated/divorced/widowed 6.4 4.0 8.8
 Region of residence
  Metropolitan cities 47.9 49.0 46.9 0.01
  Small cities 34.6 34.8 34.5
  Rural area 17.4 16.2 18.6
 Annual household income (10,000 won) 5222.4 (10,197.0) 5193.5 (10,651.0) 5250.2 (9737.6) 0.78
 Occupational status
  Professional worker 14.4 12.5 21.7 0.00
  Clerical/service/sales worker 25.9 25.0 27.0
  Manual worker 27.8 16.8 38.0
  Not in the labor force 31.9 45.7 13.3
Health behaviors
 Hours of work 6.2 (3.5) 5.1 (3.4) 8.0 (2.9) 0.00
 Smoking
  Current Smoker 35.2 8.4 61.1 0.00
  Former smoker 12.5 4.0 20.6
  Non-smoker 52.4 87.6 18.3
 Drinking
  Never 20.3 29.3 11.7 0.00
  Light drinker 24.7 36.3 13.6
  Light and frequent drinker 16.7 19.0 14.5
  Moderate drinker 14.4 8.8 19.7
  Heavy drinker (60–80 g ethanol/a day) 11.6 3.7 19.2
  Binge drinker (> 80 g ethanol/a day) 12.2 2.9 21.3

*p-value refers to the difference in the distribution of the explanatory variable between women and men based on a chi-square test for categorical variables and t-test for continuous variables

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