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Table 1 Demographics of datasets

From: Building gender-specific sexually transmitted infection risk prediction models using CatBoost algorithm and NHANES data

 

Male (n = 5,890)

Female (n = 6,163)

Age (years)

39.04 ± 11.37

39.18 ± 11.36

Education (years)

  

 Less than 9th grade

338(5.73%)

321(5.21%)

 9-11th grade(Include 12th grade with no diploma)

856(14.53%)

734(11.91%)

 High school graduate/GED or equivalent

1426(24.21%)

1234(20.02%)

 Some college or AA degree

1759(29.86%)

2168(35.18%)

 College graduate or above

1511(25.65%)

1706(27.68%)

Marital status

  

 Married

3022(51.31%)

2959(48.01%)

 Widowed

41(0.70%)

116(1.88%)

 Divorced

483(8.20%)

716(11.62%)

 Separated

164(2.78%)

262(4.25%)

 Never married

1483(25.18%)

1447(23.48%)

 Living with partner

697(11.83%)

663(10.76%)

Chlamydia

41(0.70%)

92(1.49%)

Genital herpes

126(2.14%)

341(5.53%)

Genital warts

159(2.70%)

305(4.95%)

Gonorrhea

26(0.44%)

20(0.32%)

HPV

/

556(9.02%)