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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