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Table 2 Factors associated with 4+ ANC utilisation in Bangladesh; BDHS (2011 and 2014)

From: Trends, determinants and inequities of 4+ ANC utilisation in Bangladesh

Predictors 2011 2014
4+ ANC (N = 1323) Adjusted OR (95% CI) 4+ ANC (N = 1435) Adjusted OR (95% CI)
  n (%)   n (%)  
Age
 ≤19 263 (19.9) 1.00 281 (19.6) 1.00
 20–29 837 (63.3) 1.22 (1.00–1.48) 901 (62.8) 1.19 (0.97–1.45)
 30–39 215 (16.3) 1.79 (1.31–2.44) 245 (17.1) 1.39 (1.03–1.86)
 ≥40 8 (0.6) 1.12 (0.47–2.67) 8 (0.6) 0.76 (0.32–1.83)
Education
 No education 80 (6.0) 1.00 87 (6.1) 1.00
 Primary 243 (18.4) 1.47 (1.11–1.95) 260 (18.1) 1.34 (1.01–1.77)
 Secondary 723 (54.6) 2.74 (2.09–3.60) 763 (53.2) 2.00 (1.52–2.62)
 Higher 277 (20.9) 6.83 (4.83–9.66) 325 (22.6) 3.62 (2.60–5.06)
Parity
 1 625 (47.2) 1.00 686 (47.8) 1.00
 2 420 (31.7) 0.78 (0.65–0.94) 466 (32.5) 0.88 (0.74–1.06)
 3 191 (14.4) 0.72 (0.56–0.91) 179 (12.5) 0.73 (0.57–0.93)
 4 61 (4.6) 0.49 (0.34–0.69) 60 (4.2) 0.59 (0.42–0.85)
 5 15 (1.1) 0.26 (0.14–0.47) 32 (2.2) 0.80 (0.50–1.29)
 ≥6 11 (0.8) 0.22 (0.11–0.43) 12 (0.8) 0.38 (0.19–0.74)
Division
 Sylhet 157 (11.9) 1.00 138 (9.6) 1.00
 Barisal 217 (16.4) 1.49 (1.11–2.01) 243 (16.9) 1.15 (0.86–1.54)
 Chittagong 207 (15.6) 1.02 (0.78–1.33) 286 (19.9) 1.07 (0.83–1.39)
 Dhaka 208 (15.7) 1.21 (0.92–1.59) 217 (15.1) 1.37 (1.06–1.77)
 Khulna 396 (29.9) 1.69 (1.28–2.24) 404 (28.2) 2.00 (1.52–2.63)
 Rajshahi 138 (10.4) 1.93 (1.51–2.48) 147 (10.2) 1.95 (1.53–2.49)
Area
 Rural 657 (49.7) 1.00 772 (53.8) 1.00
 Urban 666 (50.3) 2.14 (1.84–2.5) 663 (46.2) 1.46 (1.24–1.7)
Wealth quintile
 Poorest 76 (5.7) 1.00 151 (10.5) 1.00
 2nd quintile 100 (7.6) 1.06 (0.75–1.49) 181 (12.6) 1.21 (0.95–1.56)
 3rd quintile 134 (10.1) 0.90 (0.65–1.24) 222 (15.5) 1.33 (1.04–1.70)
 4th quintile 270 (20.4) 1.37 (1.01–1.84) 367 (25.6) 2.14 (1.68–2.72)
 Richest 743 (56.2) 1.82 (1.36–2.43) 514 (35.8) 3.57 (2.73–4.68)