Skip to main content

Table 3 Logistic regression results for the model including interaction terms with province, area, and gender

From: Cigarette smoking and reasons for leaving school among school dropouts in South Africa

    95% Confidence Interval  
  B S.E. Lower Exp (B) Upper p-value
Kwazulu Natal (ref Gauteng) −1.082* .328 0.178 .339 0.644 .001
Mpumalanga 0.595 .360 0.896 1.813 3.667 .098
Western Cape −0.786* .343 0.233 .456 0.893 .022
Urban (ref rural) 0.406 .312 0.815 1.501 2.765 .193
Peri-urban 0.511 .337 0.861 1.667 3.229 .130
Timing of the dropout −0.089* .025 0.872 .915 0.960 .000
Coloured (ref black African) 1.020* .127 2.163 2.772 3.553 .000
Indian 0.245 .332 0.667 1.277 2.447 .461
White 0.388 .337 0.761 1.474 2.856 .250
Other 0.205 .269 0.724 1.227 2.080 .447
Boys versus Girls −0.903* .416 0.179 .405 0.917 .030
No reason for leaving school −0.376 .565 0.227 .687 2.079 .506
Being pregnant or made someone pregnant 0.593 .552 0.614 1.810 5.336 .282
Working to help the family 0.033 .520 0.373 1.034 2.863 .949
Not enough money to pay for school fees −0.065 .631 0.272 .937 3.227 .918
Had to help with looking after the house and siblings 0.072 .654 0.298 1.074 3.870 .913
Problems with your school work, teachers or the learners 0.159 .571 0.383 1.172 3.591 .781
The school was too far −0.356 .672 0.188 .701 2.615 .596
Other −0.198 .602 0.252 .820 2.671 .742
Gender * No reason for leaving school 0.159 .411 0.524 1.173 2.625 .699
Gender * Being pregnant or made someone pregnant −0.288 .390 0.349 .750 1.611 .461
Gender * Working to help the family −0.079 .378 0.441 .924 1.936 .834
Gender * Not enough money to pay for school fees −0.116 .446 0.371 .890 2.135 .795
Gender * Had to help with looking after the house and siblings −0.049 .462 0.385 .952 2.355 .916
Gender * Problems with your school work, teachers or the learners −0.329 .422 0.315 .720 1.647 .437
Gender * The school was too far 0.064 .485 0.412 1.066 2.759 .895
Gender * Other −0.326 .409 0.323 .721 1.610 .425
Being pregnant or made someone pregnant *Urban (rural ref) −0.613* .240 0.338 .542 0.867 .011
Being pregnant or made someone pregnant * Peri-urban −0.246 .262 0.468 .782 1.308 .349
Not enough money to pay for school fees * Urban (rural ref) 1.449 .734 1.011 4.259 17.942 .048
Not enough money to pay for school fees *Peri-urban −0.221 .747 0.185 .801 3.464 .767
Other * Kwazulu Natal (ref Gauteng) 0.595 .336 0.939 1.814 3.505 .077
Other * Mpumalanga 1.325* .360 1.858 3.761 7.616 .000
Other * Western Cape 0.353 .341 0.729 1.423 2.778 .302
Gender * Kwazulu Natal (ref Gauteng) 0.125 .225 0.728 1.133 1.761 .580
Gender * Mpumalanga −0.996* .255 0.224 .369 0.609 .000
Gender * Western Cape 0.532* .231 1.083 1.703 2.676 .021
Gender * Urban (rural ref) 0.059 .212 0.701 1.060 1.605 .781
Gender * Peri-urban −0.219 .231 0.511 .803 1.263 .342
Gender * Not enough money to pay for school fees *Urban (rural ref) −1.098* .511 0.123 .334 0.907 .032
Gender * Not enough money to pay for school fees * Peri-urban 0.283 .500 0.498 1.328 3.541 .571
Constant 1.401 .569   4.057   .014
  1. Multivariate logistic regression used to generate p-values, *p < .05 indicates significance, Beta (B), Standard error (S.E)