Table 3 Summary of logistic regression analysis

is the cause of social problems

1.622

0.374

5.064

2.434-10.536

< 0.001

leads to loss of valuable work time

1.157

0.463

3.179

1.282-7.879

0.013

Constant

-4.481

0.846

0.011

Model Summary

Significance of last step

p = 0.008

Accuracy

74.8%

Nagelkerke's coefficient of determination

R² = 0.451

Model significance

p < 0.001

Females - prediction of khat abstinence (n = 100, 62.5%)

Predictor

B

SE

OR

CI

p

is best way to spend time

-0.831

0.302

0.436

0.241-0.788

0.006

loss of esteem in the family

1.135

0.575

3.111

1.008-9.602

0.048

is bad for one's health

1.161

0.564

3.193

1.056-9.651

0.040

Constant

-0.962

1.185

0.382

Model Summary

Significance of last step

p = 0.031

Accuracy

73.0%

Nagelkerke's coefficient of determination

R² = 0.360

Model significance

p < 0.001

Consumers - prediction of female gender (n = 93, 58.1%)

Predictor

B

SE

OR

CI

p

bad habit and should be eliminated

1.211

0.373

3.356

1.614-6.977

0.001

is best way to spend time

0.720

0.338

2.055

1.060-3.984

0.033

consumers are malnourished

0.797

0.400

2.220

1.014-4.857

0.046

Constant

-4.306

1.193

0.130

Model Summary

Significance of last step

p = 0.042

Accuracy

71.0%

Nagelkerke's coefficient of determination

R² = 0.314

Model significance

p < 0.001

Abstainers - prediction of female gender (n = 122, 76.3%)

Predictor

B

SE

OR

CI

p

is bad for one's health

1.417

0.510

4.124

1.518-11.207

0.005

impairs ability to take care of the family

-0.681

0.313

0.506

0.274-0.934

0.029

Constant

-0.640

0.630

0.527

Model summary

Significance of last step

p = 0.023

Accuracy

56.5%

Nagelkerke's coefficient of determination

R² = 0.123

Model significance

p = 0.003