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Table 4 Odds ratios from multilevel multinomial logistic regression examining the association between switching patterns of contraceptive methods and women’s pregnancy intention at conception

From: Women’s experience of unintended pregnancy and changes in contraceptive methods: evidence from a nationally representative survey

 

Changes in the contraceptive methods before to after pregnancy (Reference: switched to higher effective methods)

No change in methods

Switched to less effective methods

Odd ratio (95% CI)

p

Odd ratio (95% CI)

p

Most recent pregnancy intention at conception: wanted conception (ref)

 Mistimed conception

1.84 (1.41–2.39)

< 0.01

1.58 (1.10–2.26)

< 0.01

 Unwanted conception

1.36 (0.91–2.04)

0.13

1.45 (0.88–2.38)

0.14

Desire for pregnancy in the future: wants within 2 years (ref)

 Wants after 2 years

0.98 (0.68–1.40)

0.90

1.18 (0.64–2.17)

0.60

 Wants no more

1.10 (0.74–1.64)

0.64

1.40 (0.76–2.60)

0.28

Women’s age at birth of their last child: ≤ 19 years (ref)

 20–34 years

1.24 (1.01–1.52)

< 0.05

1.51 (1.08–2.11)

< 0.05

 ≥ 35 years

1.37 (0.80–2.34)

0.24

1.21 (0.59–2.48)

0.60

Parity: 1 child (ref)

 2 children

3.41 (2.66–4.37)

< 0.01

4.91 (3.40–7.10)

< 0.01

 3 children

3.03 (2.21–4.16)

< 0.01

5.44 (3.52–8.40)

< 0.01

Women’s education: no formal education (ref)

 Primary

1.15 (0.76–1.74)

0.50

1.25 (0.74–2.12)

0.40

 Secondary

1.25 (0.81–1.94)

0.31

1.43 (0.83–2.49)

0.20

 Higher

1.34 (0.81–2.20)

0.26

1.66 (0.85–3.25)

0.14

Husbands’ education: no formal education (ref)

 Primary

1.02 (0.78–1.33)

0.88

0.95 (0.67–1.34)

0.79

 Secondary

0.96 (0.71–1.28)

0.78

1.11 (0.75–1.63)

0.09

 Higher

0.95 (0.65–1.38)

0.78

0.96 (0.57–1.61)

< 0.01

Husbands’ occupation: agricultural worker (ref)

 Labourer

1.17 (0.93–1.45)

0.18

1.29 (0.94–1.78)

0.11

 Services

1.21 (0.79–1.86)

0.37

0.85 (0.44–1.66)

0.64

 Business

0.96 (0.73–1.26)

0.79

1.08 (0.74–1.57)

0.70

 Other

0.73 (0.25–2.08)

0.55

0.74 (0.16–3.53)

0.71

Wealth status: poorest (ref)

 Poorer

1.15 (0.89–1.49)

0.29

1.24 (0.88–1.75)

0.23

 Middle

1.20 (0.91–1.58)

0.20

1.14 (0.78–1.66)

0.51

 Richer

1.18 (0.88–1.57)

0.26

1.19 (0.80–1.79)

0.39

 Richest

1.41 (1.00–1.99)

< 0.05

0.99 (0.61–1.61)

0.96

Place of residence: urban (ref)

 Rural

1.11 (0.91–1.35)

0.32

1.31 (0.97–1.77)

0.08

Division of residence: Barishal (ref)

 Chottogram

0.58 (0.41–0.81)

< 0.01

0.62 (0.39–0.96)

< 0.05

 Dhaka

1.05 (0.71–1.56)

0.80

0.84 (0.51–1.38)

0.50

 Khulna

0.79 (0.54–1.16)

0.23

1.17 (0.69–2.00)

0.56

 Mymensingh

0.60 (0.43–0.85)

< 0.01

0.66 (0.41–1.05)

0.08

 Rajshahi

0.63 (0.43–0.91)

< 0.05

0.56 (0.34–0.95)

< 0.05

 Rangpur

0.54 (0.37–0.78)

< 0.01

0.60 (0.36–0.99)

< 0.05

 Sylhet

0.53 (0.37–0.78)

< 0.01

0.44 (0.27–0.71)

< 0.01

Random effectsa

 Cluster-level variance (SE)b

0.03 (0.04)***

 Log-likelihood for fixed effects to random effects model

609.44***

 Log-likelihood ratio test for the null model to random effects model (Chi-square)c

1624.59***

  1. aWe assume that the within cluster-level random effects are equal for the ‘no change of contraceptive method’ and ‘switched to a less effective contraceptive methods’; therefore, only between cluster-level variance estimates are reported
  2. bSignificance of random effects evaluated by comparing the model with a similar one in which random effects were constrained to zero
  3. cCompared to the null model with no-covariates