Table 3 Multilevel Poisson regression model of risk of forgone healthcare, Bangladesh, 2017 (N = 39,124)

 0–4

47

1.0 (0.6–1.5)

1.00

 5–9

54

1.4 (1.1–2.0)

2.03 (1.07–3.87)

0.03

 10–14

59

1.8 (1.3–2.5)

2.59 (1.44–4.66)

< 0.01

 15–19

58

2.1 (1.5–2.8)

3.15 (1.76–5.65)

< 0.01

 20–24

56

2.3 (1.6–3.1)

3.67 (1.93–6.99)

< 0.01

 25–64

504

3.0 (3.5–5.6)

3.87 (2.06–7.26)

< 0.01

  ≥ 65

116

4.4 (3.5–5.6)

4.79 (2.44–9.37)

< 0.01

 Female

537

2.5 (2.1–2.9)

1.00

 Male

537

2.2 (1.8–2.6)

0.79 (0.65–0.96)

0.02

 Muslim

802

2.4 (2.0–2.8)

1.00

 Non-Muslim

92

2.2 (1.5–3.2)

0.91 (0.70–1.19)

0.50

 Never married

178

1.7 (1.4–2.2)

1.00

 Currently married

545

2.8 (2.4–3.4)

0.81 (0.58–1.14)

0.22

 Widowed*

113

4.7 (3.6–6.0)

1.11 (0.74–1.66)

0.61

 No

397

1.5 (1.2–1.7)

1.00

 Yes

498

4.5 (2.8–5.4)

1.73 (1.45–2.07)

< 0.01

 No

587

2.4 (2.0–2.8)

1.00

 Yes

278

2.9 (2.4–3.5)

1.09 (0.90–1.32)

0.37

 Q1 (poorest)

261

4.5 (3.7–5.5)

1.00

 Q2

146

2.4 (1.8–3.1)

0.47 (0.37–0.60)

< 0.01

 Q3

138

1.6 (1.3–2.1)

0.36 (0.28–0.46)

< 0.01

 Q4

148

1.8 (1.4–2.5)

0.25 (0.20–0.33)

< 0.01

 Q5 (richest)

202

2.2 (1.5–3.2)

0.18 (0.14–0.24)

< 0.01

Household size

–

–

1.06 (1.01–1.11)

0.02

 Rural

680

2.6 (2.2–3.0)

1.00

 Urban

215

1.7 (1.2–2.5)

0.98 (0.76–1.27)

0.90

Total

895

2.4 (2.0–2.7)