Table 3

Association of sociodemographic factors with recurrent preterm birth in subsequent births in Matlab, Bangladesh, 1990–2019 (n=2515)

No of birth in second pregnancyRecurrent preterm birth odds
Live birthPreterm birthModel 1*
OR (95% CI)
Model 2†‡
OR (95% CI)
Maternal age in years
 <20195691.90 (1.36 to 2.64)1.38 (0.95 to 2.01)
 20–2413473681.30 (1.17 to 1.58)1.18 (0.96 to 1.45)
 ≥25§97321811
Education in years
 07642331.57 (1.27 to 1.94)1.20 (0.93 to 1.54)
 1–57221941.29 (1.03 to 1.61)1.09 (0.86 to 1.39)
 ≥6§102922811
Wealth quintiles
 1-poorest5191551.67 (1.25 to 2.25)1.53 (1.12 to 2.10)
 24751291.93 (1.45 to 2.56)1.78 (1.32 to 2.41)
 35091281.37 (1.03 to 1.82)1.30 (0.97 to 1.75)
 45511461.48 (1.12 to 1.96)1.49 (1.12 to 1.99)
 5-wealthiest§4619711
Birth interval in months
 <18180752.23 (1.62 to 3.08)1.81 (1.27 to 2.58)
 18–23152481.44 (1.00 to 2.08)1.13 (0.77 to 1.68)
 24–478512091.02 (0.83 to 1.24)0.89 (0.72 to 1.10)
 ≥48§133232311
Calendar year of second birth
 1990–19999122791.64 (1.29 to 2 .09)1.38 (1.04 to 1.82)
 2000–200910092501.22 (0.96 to 1 .56)1.16 (0.90 to 1.50)
 2010–2019§59412611
  • *Model 1: crude OR.

  • †Model 2: adjusted for maternal age, education, socioeconomic status by wealth quintiles, birth interval and calendar year of second birth.

  • ‡Hosmer and Lemeshow goodness-of-fit test p=0.343.

  • §Reference category.