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Table 1 Characteristics, by cluster socioeconomic quartile group, of women who gave birth in urban slum communities under surveillance, Mumbai 2005–6

From: Inequalities in maternity care and newborn outcomes: one-year surveillance of births in vulnerable slum communities in Mumbai

    Quartile group  
  All (%) 1st (%) 2nd (%) 3rd (%) 4th (%) OR (95% CI) Least poor: poorest (95% CI)
Age at marriage               
   Under 20 3635 (69) 1029 (79) 979 (75) 892 (68) 735 (56) 0.74 (0.69–0.79) 0.44 (0.35–0.55)
   20 or over 1603 (31) 280 (21) 329 (25) 420 (32) 574 (44)     
Age at first pregnancy               
   Under 20 2622 (50) 774 (59) 699 (53) 628 (48) 521 (40) 0.82 (0.78–0.87) 0.54 (0.44–0.65)
   20 or over 2616 (50) 535 (41) 609 (47) 684 (52) 788 (60)     
Education               
   No schooling 1477 (28) 605 (46) 437 (36) 264 (20) 141 (11) 0.56 (0.52–0.60) 0.15 (0.12–0.20)
   Primary 367 (7) 125 (10) 92 (7) 93 (7) 57 (4)     
   Secondary 3014 (58) 543 (41) 694 (53) 865 (66) 912 (70)     
   College 380 (7) 36 (3) 55 (4) 90 (7) 199 (15)     
Literacy 3538 (67) 650 (50) 773 (59) 987 (75) 1128 (86) 1.74 (1.63–1.86) 5.56 (4.40–7.02)
Religion               
   Hindu 2480 (47) 415 (32) 600 (46) 712 (54) 753 (57) 1.01 (0.94–1.09) 0.95 (0.73–1.23)
   Muslim 2411 (46) 858 (65) 638 (49) 474 (36) 441 (34) 0.90 (0.83–0.98) 0.84 (0.64–1.11)
   Other 347 (7) 36 (3) 70 (5) 126 (10) 115 (9)     
Family type               
   Nuclear 2925 (56) 1020 (78) 864 (66) 578 (44) 463 (35) 0.48 (0.45–0.51) 0.11 (0.09–0.15)
   Joint or extended 2313 (44) 289 (22) 444 (34) 734 (56) 846 (65)     
Duration of residence               
   Less than a year 1427 (27) 448 (34) 382 (29) 317 (24) 280 (21) 0.75 (0.71–0.80) 0.49 (0.40–0.60)
   1–10 years 2798 (54) 679 (52) 694 (53) 693 (53) 732 (56)     
   More than 10 years 1013 (19) 182 (14) 232 (18) 302 (23) 297 (23)     
All 5238 (100) 1309 (100) 1308 (100) 1312 (100) 1309 (100)     
  1. OR: odds ratio adjusted for clustering with random effects logistic regression, with socioeconomic quartile group as an ordered independent variable.
  2. Least poor:poorest: odds ratio adjusted for clustering with random effects logistic regression, with a binary variable representing the 1st and 4th socioeconomic quartiles as the independent variable.