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Table 3 Adjusted odds ratio estimates and 95% confidence interval from logistic regression analyses

From: What are the prospects for the hormonal IUD in the public sector? A mixed-method study of the user population in Zambia

Characteristic (reference group) a

Hormonal IUD versus Copper IUD (n = 314)

Hormonal IUD versus Implant (n = 431)

Variables

OR (95% CI)

OR (95% CI)

Age

0.96 (0.91–1.01)

1.06 (1.01–1.11)

Currently married

0.85 (0.40–1.83)

1.79 (0.91–3.54)

Completed secondary school

0.86 (0.50–1.48)

1.49 (0.91–2.44)

Wealth categories (lowest)

 Middle

0.83 (0.44–1.57)

1.07 (0.62–1.87)

 Upper

0.84 (0.42–1.65)

1.88 (1.02–3.48)

Full-time or self-employed

2.38 (1.37–4.16)

1.93 (1.18–3.17)

Parity

1.01 (0.82–1.26)

1.09 (0.89–1.34)

Fertility intentions (no/no more children)

 Undecided about having more children

0.93 (0.48–1.81)

0.86 (0.45–1.65)

 More children, in > 2 years

1.26 (0.58–2.75)

0.67 (0.34–1.34)

 More children, within 2 years or undecided timing

1.16 (0.44–3.06)

0.86 (0.38–1.94)

Prior use of any IUD or IUD

0.67 (0.35–1.30)

0.62 (0.32–1.20)

Prior experience of increased bleeding

0.60 (0.33–1.08)

0.74 (0.44–1.24)

Prior experience of reduced bleeding or amenorrhea

0.84 (0.50–1.41)

0.97 (0.59–1.60)

Prior experience of bleeding disturbances

1.42 (0.77–2.64)

1.11 (0.63–1.95)

Partner aware of method use

0.60 (0.29–1.22)

0.35 (0.18–0.68)

  1. aAge and parity are interval variables. Other variables are yes/no binary variables, with no as the reference level or categorical variables with the reference level included in parentheses. For urban wealth quintiles, the reference level combines the three lowest quintiles. Statistically significant values (p ≤ 0.05) are bolded