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Table 5 Logistic regression models of risk factors for perinatal outcomesa

From: A retrospective analysis of adverse obstetric and perinatal outcomes in adolescent pregnancy: the case of Luapula Province, Zambia

Perinatal outcomes Maternal age group Crude Odds ratio (95% CI) Adjusted Odds ratio (95% CI)
Low birth weight (N = 2366) 10–15 1.652 (0.866–3.152) 1.418 (0.417–4.826)
  16–17 1.483 (1.051–2.092) 1.455 (0.811–2.611)
  18–19 1.364 (1.038–1.792) 0.771 (0.461–1.287)
Pre-term delivery (N = 1358) 10–15 2.263 (0.505–10.142) 0.463 (0.038–5.627)
  16–17 2.161 (0.954–4.895) 0.376 (0.078–1.815)
  18–19 1.482 (0.739–2.972) 0.435 (0.119–1.596)
Asphyxia (N = 1216) 10–15 Non-estimable Non-estimable
  16–17 2.133 (0.387–11.755) 0.717 (0.051–10.048)
  18–19 3.176 (0.924–10.926) 0.361 (0.028–4.706)
Low Apgar score (N = 1859) 10–15 1.820 (0.865–3.828) 0.034 (0.002–0.401)
  16–17 1.639 (1.093–2.458) 0.263 (0.097–0.710)
  18–19 1.201 (0.853–1.690) 0.087 (0.030–0.249)
Neonatal death (N = 1358) 10–15 1.831 (0.631–5.313) Non-estimable
  16–17 0.663 (0.293–1.500) Non-estimable
  18–19 1.786 (1.128–2.828) 0.025 (0.002–0.265)
  1. OR = 0 no outcome event for the age group
  2. OR = 1 exposure does not affect odds of outcome
  3. OR > 1 exposure associated with higher odds of outcome
  4. OR < 1 exposure associated with lower odds of outcome
  5. aThe covariates included in the logistic regression model were marital status, gravida, and ANC
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