Table 8 Multivariable analysis

Model 1: Linear regression taking the Knowledge total score as the dependent variable

Gender (Female vs Male*)

0.979

0.076

0.039

0.047

1.911

Education level (primary vs illiterate*)

− 0.482

− 0.005

0.911

− 8.942

7.978

Education level (secondary vs illiterate*)

6.117

0.282

0.021

0.944

11.291

Education level (university vs. illiterate*)

6.801

0.459

0.008

1.773

11.829

Education level (postgraduate vs. illiterate*)

7.139

0.379

0.006

2.012

12.266

Place of living (Rural vs Urban)

− 0.876

− 0.061

0.095

− 1.903

0.152

Monthly income (low vs no income*)

− 3.062

− 0.108

0.004

− 5.123

− 1.001

Monthly income (Intermediate vs no income*)

0.642

0.040

0.309

− 0.597

1.881

Monthly income (high vs no income*)

1.682

0.111

0.009

0.420

2.943

Healthcare professional in the family being a pharmacist (Yes vs No*)

− 0.417

− 0.026

0.488

− 1.599

0.764

Healthcare professional in the family is a Physician (Yes vs No*)

− 0.943

− 0.049

0.193

− 2.366

0.479

Age

− 0.061

− 0.091

0.029

− 0.116

− 0.006

Variables entered in the model: gender, education level, place of living, monthly income age, and having a healthcare professional in the family

Model 2: Linear regression taking the Attitude total score as the dependent variable

Gender (Female vs Male*)

0.369

0.117

0.001

0.146

0.592

Education level (primary vs illiterate*)

1.338

0.056

0.187

− 0.650

3.326

Education level (secondary vs illiterate*)

0.324

0.061

0.603

− 0.897

1.544

Education level (university vs illiterate*)

0.764

0.211

0.207

− 0.424

1.952

Education level (postgraduate vs illiterate*)

0.591

0.129

0.340

− 0.625

1.808

Marital status (married vs single*)

0.284

0.075

0.124

− 0.078

0.647

Occupation (employed vs unemployed*)

0.098

0.030

0.567

− 0.237

0.432

Monthly income (low vs no income*)

0.124

0.018

0.646

− 0.407

0.655

Monthly income (intermediate vs no income*)

0.112

0.029

0.526

− 0.234

0.457

Monthly income (high vs no income*)

0.227

0.061

0.199

− 0.120

0.575

Age

0.008

0.051

0.327

− 0.008

0.025

Household crowding index

− 0.095

− 0.049

0.170

− 0.230

0.041

Knowledge total score

0.069

0.281

0.000

0.052

0.086

Variables entered in the model: Gender, education level, marital status, occupation level, monthly income, age, household crowding index, and knowledge score

Model 3: Linear regression taking the Practice total score as the dependent variable

Gender (Female vs Male*)

− 0.329

− 0.089

0.014

− 0.590

− 0.068

Place of living (Rural vs Urban*)

− 0.372

− 0.091

0.010

− 0.655

− 0.088

Monthly income (low vs no income*)

0.571

0.071

0.053

− 0.007

1.148

Monthly income (intermediate vs no income*)

0.127

0.028

0.465

− 0.214

0.467

Monthly income (high vs no income*)

0.221

0.051

0.206

− 0.122

0.564

Age

− 0.010

− 0.050

0.205

− 0.025

0.005

Healthcare professional (Yes vs No*)

0.722

0.189

0.000

0.443

1.001

Presence of a healthcare professional in the family (Yes vs No*)

0.250

0.069

0.055

− 0.005

0.505

Attitude total score

0.571

0.071

0.053

− 0.007

1.148

Knowledge total score

0.127

0.028

0.465

− 0.214

0.467

Variables entered in the model: Gender, place of living, monthly income, age, healthcare in the family, healthcare, attitude, and knowledge scales