Table 6 Evaluation of the factors associated with hypertension by bivariate and multivariable logistic regression analysis

 Male

Ref

Ref

 Female

1.13 (0.88–1.46)

0.346

1.21 (0.92–1.60)

0.175

 18–30

Ref

Ref

 31–40

1.65 (1.13–2.40)

0.009

1.53 (1.04–2.24)

0.029

 41–50

3.18 (2.14–4.74)

0.000

2.99 (2.00–4.48)

0.000

 51–60

3.99 (2.61–6.10)

0.000

3.75 (2.45–5.76)

0.000

  ≥ 60

8.18 (4.9–13.61)

0.000

7.91 (4.73–13.23)

0.000

 Normal

Ref

Ref

 Overweight

1.16 (0.87–1.55)

0.305

1.22 (0.90–1.67)

0.200

 Obese

1.73 (1.23–2.45)

0.002

1.57 (1.07–2.31)

0.021

 Illiterate

Ref

Ref

 Primary

0.80 (0.50–1.27)

0.349

0.81 (0.50–1.33)

0.401

 Secondary

0.78 (0.48–1.26)

0.311

0.83 (0.50–1.39)

0.478

 Above secondary

0.80 (0.54–1.18)

0.254

0.85 (0.56–1.30)

0.454

 Low

Ref

Ref

 Medium

0.84 (0.60–1.17)

0.301

0.87 (0.61–1.25)

0.442

 High

1.35 (0.86–2.11)

0.194

1.53 (0.94–2.49)

0.089

 Adequate/Moderate

Ref

Ref

 Low

1.61 (1.13–2.30)

0.008

1.56 (1.03–2.38)

0.036

 No

Ref

Ref

 Yes

0.93 (0.69–1.25)

0.92 (0.67–1.27)

0.625

 Yes

Ref

Ref

 No

1.33 (0.99–1.79)

0.060

1.19 (0.85–1.66)

0.304

 Urban

Ref

Ref

 Rural

1.43 (1.10–1.84)

0.007

1.41 (1.07–1.86)

0.016

 Barisal

Ref

Ref

 Chittagong

1.26 (0.72–2.19)

0.422

1.40 (0.77–2.54)

0.266

 Dhaka

0.53 (0.31–0.92)

0.025

0.56 (0.31–1.01)

0.055

 Khulna

1.38 (0.77–2.48)

0.282

1.32 (0.71–2.46)

0.380

 Mymensingh

1.78 (1.02–3.13)

0.044

1.70 (0.92–3.14)

0.093

 Rajshahi

0.99 (0.57–1.71)

0.972

0.92 (0.51–1.67)

0.789

 Rangpur

1.64 (0.92–2.91)

0.095

2.27 (1.22–4.23)

0.010

 Sylhet

0.68 (0.37–1.22)

0.194

0.81 (0.43–1.53)

0.522

 No

Ref

Ref

 Yes

0.89 (0.63–1.25)

0.492

0.88 (0.61–1.27)

0.488

 No

Ref

Ref

 Yes

0.82 (0.57–1.18)

0.293

0.89 (0.60–1.32)

0.565