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Table 5 Adjusted Odds Ratio (AOR) of predictors of the contraceptive method use in selected South Asian countries

From: Examining the influence of Mother-in-law on family planning use in South Asia: insights from Bangladesh, India, Nepal, and Pakistan

Background characteristics

Modern Spacing Method AOR (95% CI)

Modern limiting Method AOR (95% CI)

Any traditional Method AOR (95% CI)

Nepal

Pakistan

Bangladesh

India

Nepal

Pakistan

Bangladesh

India

Nepal

Pakistan

Bangladesh

India

Household living arrangements of Women

 Living with husband and or unmarried childa

            

 Living with husband and other family member except MIL

0.79*** [0.70, 0.89]

0.83** [0.75, 0.93]

0.70*** [0.65, 0.76]

0.92*** [0.90, 0.93]

0.94 [0.82, 1.07]

0.95 [0.81, 1.12]

0.81** [0.69, 0.94]

0.87*** [0.85, 0.88]

0.85 [0.73, 1.00]

0.84 [0.73, 0.96]

0.82*** [0.73, 0.92]

0.92*** [0.90, 0.94]

 Living with husband and other family member including MIL

1.63*** [1.32, 2.02]

1.05 [0.90, 1.23]

1.17** [1.05, 1.31]

1 [0.97, 1.03]

1.33 [1.03, 1.72]

0.9 [0.69, 1.17]

0.99 [0.79, 1.25]

1.12*** [1.09, 1.16]

1.33 [0.99, 1.79]

0.83 [0.67, 1.03]

1.08 [0.90, 1.28]

1.07*** [1.03, 1.11]

 Living with husband and/or unmarried child(ren) and MIL

2.35*** [1.53, 3.60]

1.49 [1.04, 2.13]

1.13 [0.89, 1.43]

1.12*** [1.05, 1.18]

1.6 [0.92, 2.78]

0.92 [0.44, 1.93]

0.7 [0.38, 1.29]

1.20*** [1.13, 1.27]

1.63 [0.88, 3.03]

0.83 [0.47, 1.49]

0.93 [0.62, 1.41]

1.13*** [1.06, 1.21]

Age of women

 15–19

1.75*** [1.26, 2.43]

2.86*** [1.94, 4.21]

9.16*** [7.62, 11.02]

1.93*** [1.82, 2.05]

0 [0.00, .]

0 [0.00, .]

0.42 [0.10, 1.72]

0.03*** [0.02, 0.05]

0.77 [0.51, 1.17]

1.27 [0.75, 2.15]

0.93 [0.69, 1.26]

0.99 [0.92, 1.06]

 20–24

1.93*** [1.49, 2.51]

4.10*** [3.19, 5.28]

8.12*** [6.90, 9.55]

2.50*** [2.40, 2.60]

0.13*** [0.09, 0.19]

0.10*** [0.03, 0.32]

0.41*** [0.25, 0.69]

0.33*** [0.31, 0.34]

0.52*** [0.37, 0.72]

1.56** [1.16, 2.11]

0.78 [0.61, 0.98]

1.13*** [1.08, 1.18]

 25–29

2.02*** [1.59, 2.56]

4.38*** [3.50, 5.49]

7.39*** [6.33, 8.62]

3.07*** [2.96, 3.18]

0.29*** [0.23, 0.37]

0.66** [0.49, 0.90]

1.18 [0.90, 1.54]

0.71*** [0.69, 0.73]

0.54*** [0.40, 0.73]

1.68*** [1.31, 2.17]

0.97 [0.79, 1.19]

1.47*** [1.42, 1.53]

 30–34

2.20*** [1.73, 2.79]

4.53*** [3.64, 5.64]

7.67*** [6.58, 8.92]

3.66*** [3.53, 3.80]

0.60*** [0.48, 0.74]

1.11 [0.88, 1.41]

2.37*** [1.90, 2.95]

1.12*** [1.09, 1.15]

0.96 [0.72, 1.28]

2.17*** [1.72, 2.75]

1.26 [1.04, 1.52]

1.92*** [1.84, 1.99]

 35–39

2.38*** [1.86, 3.04]

3.68*** [2.96, 4.57]

7.05*** [6.03, 8.24]

3.53*** [3.40, 3.67]

1.09 [0.89, 1.33]

1.49*** [1.20, 1.84]

2.92*** [2.36, 3.62]

1.41*** [1.37, 1.45]

1.21 [0.90, 1.62]

1.90*** [1.51, 2.39]

2.32*** [1.94, 2.77]

2.16*** [2.07, 2.24]

 40–44

2.02*** [1.56, 2.62]

2.39*** [1.89, 3.02]

3.38*** [2.88, 3.97]

2.12*** [2.04, 2.21]

1.21 [0.98, 1.48]

1.49*** [1.20, 1.85]

2.04*** [1.65, 2.53]

1.27*** [1.24, 1.31]

1.33 [0.98, 1.81]

1.59*** [1.25, 2.02]

2.18*** [1.83, 2.60]

1.81*** [1.74, 1.89]

 45–49a

            

Years of schooling

 No educationa

            

 < 10 years of schooling

1.01 [0.88, 1.16]

1.28*** [1.12, 1.47]

1.12 [1.01, 1.25]

1.36*** [1.33, 1.40]

0.62*** [0.53, 0.73]

1.13 [0.93, 1.37]

0.77** [0.65, 0.90]

0.82*** [0.80, 0.84]

1.23 [1.01, 1.50]

1.16 [0.97, 1.38]

1.02 [0.88, 1.17]

1.21*** [1.17, 1.24]

 ≥ 10 years of schooling

1.21 [1.01, 1.45]

1.66*** [1.43, 1.92]

1.24** [1.09, 1.42]

1.40*** [1.36, 1.44]

0.43*** [0.33, 0.55]

0.92 [0.72, 1.17]

0.59*** [0.44, 0.78]

0.55*** [0.54, 0.57]

2.28*** [1.79, 2.90]

1.45*** [1.20, 1.75]

1.41*** [1.16, 1.72]

1.16*** [1.12, 1.19]

Desire for more children

 Noa

            

 Yes

0.48*** [0.40, 0.56]

0.32*** [0.28, 0.36]

0.48*** [0.43, 0.52]

0.65*** [0.64, 0.67]

0 [0.00, .]

0 [0.00, .]

0 [0.00, .]

0 [0.00, .]

0.76 [0.60, 0.95]

0.35*** [0.30, 0.42]

0.45*** [0.38, 0.54]

0.63*** [0.61, 0.65]

 Undecided

0.52*** [0.36, 0.75]

0.34*** [0.29, 0.41]

0.38*** [0.31, 0.48]

0.67*** [0.64, 0.69]

0 [0.00, .]

0 [0.00, .]

0 [0.00, .]

0 [0.00, .]

0.68 [0.41, 1.11]

0.31*** [0.24, 0.40]

0.57** [0.39, 0.84]

0.61*** [0.58, 0.63]

Gender of living children

 Only have daughtersa

            

 At least have one son

2.06*** [1.78, 2.38]

3.27*** [2.81, 3.80]

2.06*** [1.90, 2.23]

2.09*** [2.05, 2.14]

5.72*** [4.17, 7.85]

6.79*** [3.77, 12.23]

1.89*** [1.52, 2.34]

3.63*** [3.54, 3.72]

1.75*** [1.44, 2.14]

3.66*** [2.95, 4.54]

1.51*** [1.32, 1.74]

1.98*** [1.93, 2.03]

Mass Media Exposure

 Noa

            

 Yes

1.26** [1.09, 1.47]

1.34*** [1.18, 1.52]

1.16*** [1.06, 1.26]

1.23*** [1.21, 1.26]

1.56*** [1.32, 1.85]

1.41*** [1.16, 1.70]

1.51*** [1.28, 1.78]

1.41*** [1.38, 1.44]

1.56*** [1.22, 1.99]

1.28** [1.08, 1.51]

0.94 [0.83, 1.07]

1.18*** [1.15, 1.21]

Religion

 Hindua

            

 Muslim

0.61*** [0.45, 0.81]

 

0.62*** [0.55, 0.70]

1.11*** [1.08, 1.14]

0.17*** [0.12, 0.24]

 

0.58*** [0.47, 0.72]

0.34*** [0.33, 0.35]

0.46*** [0.29, 0.72]

 

0.62*** [0.52, 0.74]

0.91*** [0.89, 0.94]

 Others

1.08 [0.90, 1.30]

 

1.12 [0.72, 1.76]

0.95*** [0.92, 0.97]

0.59*** [0.45, 0.76]

 

0.36 [0.11, 1.21]

0.35*** [0.34, 0.36]

0.77 [0.58, 1.01]

 

1 [0.52, 1.90]

0.87*** [0.84, 0.90]

Wealth Quintile

 Pooresta

            

 Poorer

1.18 [1.00, 1.39]

1.51*** [1.27, 1.79]

0.94 [0.84, 1.05]

1.14*** [1.11, 1.17]

2.07*** [1.69, 2.54]

1.34 [1.03, 1.74]

0.84 [0.68, 1.03]

1.29*** [1.26, 1.32]

1.32 [1.03, 1.70]

1.92*** [1.47, 2.51]

1.14 [0.96, 1.36]

1.05** [1.02, 1.08]

 Middle

1.13 [0.95, 1.35]

1.89*** [1.57, 2.28]

0.82** [0.73, 0.92]

1.09*** [1.06, 1.12]

2.39*** [1.93, 2.96]

1.61*** [1.21, 2.13]

0.68*** [0.54, 0.86]

1.57*** [1.53, 1.62]

1.16 [0.89, 1.52]

2.94*** [2.23, 3.88]

0.87 [0.72, 1.05]

0.96 [0.93, 0.99]

 Richer

1.01 [0.84, 1.21]

1.88*** [1.53, 2.30]

0.84** [0.75, 0.96]

1.17*** [1.13, 1.20]

2.16*** [1.73, 2.70]

1.77*** [1.31, 2.40]

0.65*** [0.51, 0.83]

1.64*** [1.59, 1.69]

1.29 [0.99, 1.69]

3.40*** [2.54, 4.55]

1 [0.82, 1.21]

0.93*** [0.89, 0.96]

 Richest

1.18 [0.96, 1.45]

2.16*** [1.73, 2.69]

0.80** [0.69, 0.92]

1.69*** [1.63, 1.75]

2.56*** [1.99, 3.28]

1.78*** [1.28, 2.48]

0.62*** [0.47, 0.81]

1.38*** [1.33, 1.43]

2.21*** [1.67, 2.92]

4.02*** [2.94, 5.49]

0.99 [0.80, 1.23]

1.08*** [1.04, 1.13]

Place of residence

 Urbana

            

 Rural

0.92 [0.82, 1.04]

0.93 [0.83, 1.04]

0.72*** [0.66, 0.78]

0.95*** [0.93, 0.97]

0.83** [0.72, 0.95]

1.1 [0.93, 1.31]

0.76*** [0.65, 0.89]

1.17*** [1.15, 1.20]

1.13 [0.96, 1.34]

0.73*** [0.63, 0.84]

0.73*** [0.65, 0.83]

0.93*** [0.90, 0.95]

 

Modern Spacing Method AOR (95% CI)

Modern limiting Method AOR (95% CI)

Any traditional Method AOR (95% CI)

Region (India)

 Northa

   

 Central

1.42*** [1.37, 1.47]

1.05 [1.01, 1.08]

1.25*** [1.19, 1.31]

 East

0.97 [0.92, 1.02]

0.51*** [0.49, 0.54]

0.69*** [0.64, 0.74]

 Northeast

0.96** [0.93, 0.99]

0.89*** [0.86, 0.91]

1.30*** [1.25, 1.34]

 West

1.10*** [1.07, 1.13]

0.48*** [0.47, 0.50]

1.45*** [1.40, 1.50]

 South

1.04** [1.01, 1.07]

0.67*** [0.65, 0.69]

0.78*** [0.75, 0.81]

Region (Nepal)

 Province 1a

   

 Province 2

0.37*** [0.30, 0.46]

2.46*** [1.94, 3.13]

0.39*** [0.30, 0.52]

 Province 3

1.2 [0.99, 1.47]

1.47** [1.13, 1.91]

0.68** [0.53, 0.89]

 Province 4

0.60*** [0.49, 0.74]

1.04 [0.81, 1.35]

0.59*** [0.46, 0.76]

 Province 5

0.77** [0.64, 0.93]

0.97 [0.76, 1.24]

0.52*** [0.41, 0.66]

 Province 6

0.92 [0.76, 1.13]

1.58*** [1.22, 2.05]

0.50*** [0.38, 0.67]

 Province 7

0.94 [0.77, 1.14]

1.38 [1.08, 1.78]

0.67** [0.52, 0.87]

Region (Pakistan)

 Punjaba

   

 Sindh

0.94 [0.80,1.10]

1.27 [1.03,1.56]

0.63*** [0.51,0.77]

 KPK

1.30*** [1.12,1.52]

0.40*** [0.30,0.52]

0.9 [0.74,1.09]

 Balochistan

0.70*** [0.58,0.86]

0.35*** [0.24,0.49]

0.46*** [0.35,0.61]

 IT

1.16 [0.96,1.41]

0.78 [0.60,1.03]

0.73** [0.57,0.93]

 FATA

1.09 [0.86,1.39]

0.19*** [0.10,0.35]

1.48** [1.12,1.96]

Region (Bangladesh)

 Barisala

   

 Chittagong

0.66*** [0.57, 0.75]

1.09 [0.79, 1.50]

0.70*** [0.56, 0.86]

 Dhaka

0.95 [0.82, 1.09]

1.79*** [1.31, 2.45]

0.92 [0.74, 1.14]

 Khulna

1 [0.87, 1.15]

1.68** [1.23, 2.30]

1.22 [0.99, 1.50]

 Mymensingh

1.13 [0.98, 1.31]

1.4 [1.00, 1.96]

0.84 [0.66, 1.06]

 Rajshahi

1.1 [0.96, 1.27]

2.09*** [1.54, 2.84]

1.01 [0.81, 1.25]

 Rangpur

1.19 [1.03, 1.37]

2.54*** [1.87, 3.44]

1.26 [1.02, 1.56]

 Sylhet

0.62*** [0.54, 0.72]

1.45 [1.05, 2.01]

0.81 [0.65, 1.02]

  1. **< 0.01, ***< 0.001
  2. aReference category